(self, dataset_name, img_res=(128, 128))

(self, module, name='weight', power_iterations=1)

(self, train, dataset, image_path, image_size, batch_size, shuf=True)

(self, data_loader, config)

(self, batch_size, image_size=64, z_dim=100, conv_dim=64)

(self, batch_size=64, image_size=64, conv_dim=64)

(self, nb_layers, in_planes, out_planes, block, stride, dropRate=0.0)

(self, depth, num_classes, widen_factor=1, dropRate=0.0)

(self, in_planes, planes, stride=1)

(self, in_planes, planes, stride=1)

(self, n_holes, length)

(self, args, fieldnames, filename='log.csv')

(self)

(self)

(self, max_size=50)

(self, n_epochs, offset, decay_start_epoch)

(self, input_shape, num_residual_blocks)

(self, input_shape)

(self, root, transforms_=None, unaligned=False, mode="train")

(self)

(self, filters, res_scale=0.2)

(self, filters, res_scale=0.2)

(self, input_shape)

(self, root, hr_shape)

(self)

(self)

(self, flags, data)

(self, batch_size)

(self, batch_size)

(self, image_size)

(self)

(self)

(self, dataset_name, img_res=(128, 128))

(self, module, name='weight', power_iterations=1)

(self)

(self, filters, res_scale=0.2)

(self, filters, res_scale=0.2)

(self, input_shape)

(self, root, hr_shape)

(self, in_size, out_size, normalize=True, dropout=0.0)

(self, in_channels=3, out_channels=3)

(self, in_channels=3)

(self, root, transforms_=None, mode="train")

(self)

(self)

(self)

(self)

(self, root, transforms_=None, unaligned=False, mode="pair")

(self, name)

(self, name)

(self)

(self, C_in, C_out, kernel_size, stride, padding, affine=True)

(self, C_in, C_out, kernel_size, stride, padding, dilation, affine=True)

(self, C_in, C_out, kernel_size, stride, padding, affine=True)

(self)

(self, C_in, C_out, affine=True)

(self)

(self, length)

(self, model, args)

(self, C, stride)

(self, C, num_classes, layers, criterion, steps=4, multiplier=4, stem_multiplier=3)

(self, num_classes, epsilon)

(self, C, num_classes, layers, auxiliary, genotype)

(self, C, num_classes, layers, auxiliary, genotype)

(self)

(self, model, args)

(self)

(self, path)

(self, path)

(self, sents, batch_size, pad_id=0, cuda=False, volatile=False)

(self, ninp, nhid, dropouth, dropoutx)

(self, ninp, nhid, dropouth, dropoutx, genotype)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(args)

(v, eps=1e-12)

(tag)

(self, inputs)

(self, inputs)

(weights)

(probs)

(count, block_size, total_size)

(count, block_size, total_size)

(output, target, topk=(1,))

(self)

(in_features, non_linearity=True)

(in_features, non_linearity=True)

(self, x, h_prev, x_mask, h_mask)

(self)

(self)