paul-corbalan
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wasserstein-gan
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minor cleanup

This commit is contained in:
Martin Arjovsky 2017-01-30 14:30:05 -05:00
parent 44e76992de
commit 3533f2bd86
1 changed files with 1 additions and 3 deletions
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4
main.py
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@ -39,7 +39,6 @@ parser.add_argument('--Diters', type=int, default=5, help='number of D iters per
parser.add_argument('--noBN', action='store_true', help='use batchnorm or not (only for DCGAN)')
parser.add_argument('--mlp_G', action='store_true', help='use MLP for G')
parser.add_argument('--mlp_D', action='store_true', help='use MLP for D')
parser.add_argument('--grad_bound', type=float, default=1e10, help='Keep training the disc until the norm of its gradient is below this')
parser.add_argument('--n_extra_layers', type=int, default=0, help='Number of extra layers on gen and disc')
parser.add_argument('--experiment', default=None, help='Where to store samples and models')
parser.add_argument('--adam', action='store_true', help='Whether to use adam (default is rmsprop)')
@ -171,9 +170,8 @@ for epoch in range(opt.niter):
Diters = 100
else:
Diters = opt.Diters
grad_D_norm = 0
j = 0
while (j < Diters or grad_D_norm > opt.grad_bound) and i < len(dataloader):
while j < Diters and i < len(dataloader):
j += 1
# clamp parameters to a cube