Merge pull request #24 from edgarriba/patch-1
parameterize input image channels
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								main.py
									
									
									
									
									
								
							
							
						
						
									
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								main.py
									
									
									
									
									
								
							@ -22,6 +22,7 @@ parser.add_argument('--dataroot', required=True, help='path to dataset')
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parser.add_argument('--workers', type=int, help='number of data loading workers', default=2)
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					parser.add_argument('--workers', type=int, help='number of data loading workers', default=2)
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parser.add_argument('--batchSize', type=int, default=64, help='input batch size')
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					parser.add_argument('--batchSize', type=int, default=64, help='input batch size')
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parser.add_argument('--imageSize', type=int, default=64, help='the height / width of the input image to network')
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					parser.add_argument('--imageSize', type=int, default=64, help='the height / width of the input image to network')
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					parser.add_argument('--nc', type=int, default=3, help='input image channels')
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parser.add_argument('--nz', type=int, default=100, help='size of the latent z vector')
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					parser.add_argument('--nz', type=int, default=100, help='size of the latent z vector')
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parser.add_argument('--ngf', type=int, default=64)
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					parser.add_argument('--ngf', type=int, default=64)
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parser.add_argument('--ndf', type=int, default=64)
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					parser.add_argument('--ndf', type=int, default=64)
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@ -92,7 +93,7 @@ ngpu = int(opt.ngpu)
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nz = int(opt.nz)
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					nz = int(opt.nz)
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ngf = int(opt.ngf)
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					ngf = int(opt.ngf)
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ndf = int(opt.ndf)
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					ndf = int(opt.ndf)
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nc = 3
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					nc = int(opt.nc)
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n_extra_layers = int(opt.n_extra_layers)
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					n_extra_layers = int(opt.n_extra_layers)
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# custom weights initialization called on netG and netD
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					# custom weights initialization called on netG and netD
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