(self, input_nc, output_nc, ngf=64, n_downsampling=3, n_blocks=9, norm="batch", embed_nc=128,

(self, input_nc, output_nc, ngf=64, n_downsampling=3, n_blocks=9, norm="batch", embed_nc=128,

(self, norm_layer)

(self, norm_layer)

(self, norm_layer)

(self, norm_layer)

(self, norm_layer)

(self, norm_layer)

(self, norm_layer)

(self, norm_layer)

(self, norm_layer)

(self, norm_layer)

(self, norm_layer)

(self, embed_length, output_size, n_downsample_global, norm_layer)

(self, n_downsample_global,input_nc,embed_length,norm_layer)

(self, n_downsample_global,input_nc,embed_length,norm_layer)

(self, norm_layer)

(self, channel_in, channel_out, kernel_size=7, padding=3, stride=4)

(self, channel_in, channel_out, kernel_size=7, padding=3, stride=4)

(self, channel_in, channel_out, kernel_size=4, padding=1, stride=2, output_padding=0, norelu=False)

(self, channel_in, channel_out, kernel_size=4, padding=1, stride=2, output_padding=0, norelu=False)

(self, use_lsgan=True, target_real_label=1.0, target_fake_label=0.0, tensor=torch.FloatTensor

(self, gpu_ids, load_path)

(self, gpu_ids, weights = None)

(self, gpu_ids)

(self,gpu_ids)

(self, input_nc, output_nc, ngf=32, n_downsample_global=3, n_blocks_global=9, n_local_enhanc

(self, input_nc, output_nc, ngf=64, n_downsampling=3, n_blocks=9, norm_layer=nn.BatchNorm2d,

(self, dim, padding_type, norm_layer, activation=nn.ReLU(True), use_dropout=False)

(self, input_nc, output_nc, ngf=32, n_downsampling=4, norm_layer=nn.BatchNorm2d)

(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm2d, use_sigmoid=False, num_D=3,

(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm2d, use_sigmoid=False, getIntermFeat=False)

(self, segment_classes, input_nc, num_downs, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=F

(self, outer_nc, inner_nc, input_nc=None, submodule=None, outermost=False, innermost=False, n

(self, num_classes=1000)

(self, web_dir, title, refresh=0)

(self, opt)

(self, n=35)

(self, pool_size)

(self)

(self)

(self)

(self)

(self)

(self)

(self, click_src, label_tgt, mask, style_id=0)

(self, click_src, label_tgt, bw, save)

(self, click_src, click_tgt)

(path)

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(input_nc, output_nc, ngf, netG, n_downsample_global=3, n_blocks_global=9, n_local_enhancers=1,

(segment_classes, input_nc, ngf, which_model_netG, norm='batch', use_dropout=False, gpu_ids=[])

(n_downsample_global, embed_length, embed_feature_size, norm='instance', gpu_ids=[])

(longsize=512, norm='instance',gpu_ids=[])

(longsize=512, norm='instance',gpu_ids=[])

(input_nc, output_nc, ngf, netG, n_downsample_global=3, n_blocks_global=9, n_local_enhancers=1,

(input_nc, output_nc, ngf, netG, n_downsample_global=3, n_blocks_global=9, n_local_enhancers=1,

(n_downsample_global, input_nc,embed_length,norm='instance',gpu_ids=[])

(longsize=512, norm='instance',gpu_ids=[])

(n_downsample_global, input_nc,embed_length,norm='instance',gpu_ids=[])

(self, input_label, test_image, use_pool=False)

(self, input_label, test_image, use_pool=False)

(self, image, inst)

(self)

(self, input, type="label_encoder")

(self, input, type="label_encoder")

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten)

(self, ten, out=False,t = False)

(self, ten)

(self, ten)

(self, ten)

(self, x, y)

(self, x, y, face_mask, mask_weights)

(self, x_input, y_input)

(self, x, y, label)

(self, input)

(self, input)

(self, x)

(self, input, inst)

(self, input)

(self, input)

(self, input)

(self, x)

(self, bg_image, label, inst, image, feat, image_affine, mask_list, ori_label, infer=False, type="sample_net")

(self, input)

(self)