minor cleanup
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							@ -39,7 +39,6 @@ parser.add_argument('--Diters', type=int, default=5, help='number of D iters per
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parser.add_argument('--noBN', action='store_true', help='use batchnorm or not (only for DCGAN)')
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					parser.add_argument('--noBN', action='store_true', help='use batchnorm or not (only for DCGAN)')
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parser.add_argument('--mlp_G', action='store_true', help='use MLP for G')
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					parser.add_argument('--mlp_G', action='store_true', help='use MLP for G')
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parser.add_argument('--mlp_D', action='store_true', help='use MLP for D')
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					parser.add_argument('--mlp_D', action='store_true', help='use MLP for D')
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parser.add_argument('--grad_bound', type=float, default=1e10, help='Keep training the disc until the norm of its gradient is below this')
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parser.add_argument('--n_extra_layers', type=int, default=0, help='Number of extra layers on gen and disc')
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					parser.add_argument('--n_extra_layers', type=int, default=0, help='Number of extra layers on gen and disc')
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parser.add_argument('--experiment', default=None, help='Where to store samples and models')
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					parser.add_argument('--experiment', default=None, help='Where to store samples and models')
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parser.add_argument('--adam', action='store_true', help='Whether to use adam (default is rmsprop)')
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					parser.add_argument('--adam', action='store_true', help='Whether to use adam (default is rmsprop)')
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@ -171,9 +170,8 @@ for epoch in range(opt.niter):
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            Diters = 100
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					            Diters = 100
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        else:
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					        else:
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            Diters = opt.Diters
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					            Diters = opt.Diters
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        grad_D_norm = 0
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        j = 0
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					        j = 0
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        while (j < Diters or grad_D_norm > opt.grad_bound) and i < len(dataloader):
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					        while j < Diters and i < len(dataloader):
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            j += 1
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					            j += 1
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            # clamp parameters to a cube
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					            # clamp parameters to a cube
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