Functions — github.com/LetheSec/PLG-MI-Attack

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Functions329 in github.com/LetheSec/PLG-MI-Attack

⨍ Functions 329◇ Types & classes 88

FunctionIR_152_112

Constructs a ir-152 model.

models/classifiers/evolve.py:275

FunctionIR_152_64

Constructs a ir-152 model.

baselines/facenet.py:309

FunctionIR_152_64

Constructs a ir-152 model.

baselines/evolve.py:267

FunctionIR_152_64

Constructs a ir-152 model.

models/classifiers/evolve.py:267

FunctionIR_50_112

Constructs a ir-50 model.

baselines/evolve.py:251

FunctionIR_50_112

Constructs a ir-50 model.

models/classifiers/evolve.py:251

FunctionIR_50_64

Constructs a ir-50 model.

baselines/evolve.py:243

FunctionIR_50_64

Constructs a ir-50 model.

models/classifiers/evolve.py:243

FunctionIR_SE_101

Constructs a ir_se-101 model.

baselines/facenet.py:333

FunctionIR_SE_101

Constructs a ir_se-101 model.

baselines/evolve.py:291

FunctionIR_SE_101

Constructs a ir_se-101 model.

models/classifiers/evolve.py:291

FunctionIR_SE_152

Constructs a ir_se-152 model.

baselines/facenet.py:341

FunctionIR_SE_152

Constructs a ir_se-152 model.

baselines/evolve.py:299

FunctionIR_SE_152

Constructs a ir_se-152 model.

models/classifiers/evolve.py:299

FunctionIR_SE_50

Constructs a ir_se-50 model.

baselines/facenet.py:325

FunctionIR_SE_50

Constructs a ir_se-50 model.

baselines/evolve.py:283

FunctionIR_SE_50

Constructs a ir_se-50 model.

models/classifiers/evolve.py:283

Method__call__

(self, dis_fake, dis_real, **kwargs)

losses.py:80

Method__call__

(self, dis_fake, dis_real=None, **kwargs)

losses.py:101

Method__del__

(self)

baselines/utils.py:32

Method__getitem__

(self, index)

top_n_selection.py:40

Method__getitem__

(self, index)

top_n_selection.py:70

Method__getitem__

(self, index)

top_n_selection.py:108

baselines/dataloader.py:104

Method__getitem__

(self, index)

baselines/dataloader.py:164

Method__getitem__

(self, idx)

baselines/dataloader.py:220

Method__init__

(self, file_path='data_files/celeba_ganset.txt', img_root='datasets/celeba/img_align_celeba',

top_n_selection.py:55

Method__init__

(self, file_path='data_files/facescrub_ganset.txt', img_root='datasets/facescrub', transform=

top_n_selection.py:84

(self, args, root='', transform=None)

(self, loss_type, is_relativistic=False)

losses.py:66

Method__init__

(self, num_classes=1000)

baselines/facenet.py:29

Method__init__

(self, channels, reduction)

baselines/facenet.py:67

Method__init__

(self, in_channel, depth, stride)

baselines/facenet.py:93

Method__init__

(self, in_channel, depth, stride)

baselines/facenet.py:113

Method__init__

(self, input_size, num_layers, mode='ir')

baselines/facenet.py:172

Method__init__

(self, input_size, num_layers, mode='ir')

baselines/facenet.py:228

Method__init__

(self, in_features, out_features, bias=True, weight_scale=None, weight_init_stdv=0.1)

baselines/utils.py:47

Method__init__

(self)

baselines/utils.py:438

Method__init__

(self, args, file_path, mode, name_list, label_list, image_list)

baselines/dataloader.py:30

Method__init__

(self, args, file_path, mode)

baselines/dataloader.py:118

Method__init__

(self, data_path=None, label_path=None)

baselines/dataloader.py:199

Method__init__

(self, in_features, out_features, kernel_dims, mean=False)

baselines/discri.py:10

Method__init__

(self, in_dim=3, dim=64, n_classes=1000)

baselines/discri.py:38

Method__init__

(self, in_dim=3, dim=64, n_classes=1000)

baselines/discri.py:78

Method__init__

(self, d_input_dim=1024)

baselines/discri.py:109

Method__init__

(self, in_dim=1, dim=64)

baselines/discri.py:132

Method__init__

(self, in_dim=3, dim=64)

baselines/discri.py:183

Method__init__

(self, in_features=2048)

baselines/discri.py:208

Method__init__

(self, nc=3, ndf=64)

baselines/discri.py:228

Method__init__

(self)

baselines/classify.py:20

Method__init__

(self, n_classes)

baselines/classify.py:39

Method__init__

(self, n_classes)

baselines/classify.py:68

Method__init__

(self, num_classes=1000)

baselines/classify.py:125

Method__init__

(self, num_classes=1000)

baselines/classify.py:149

Method__init__

(self, num_classes=1000)

baselines/classify.py:173

Method__init__

(self, num_classes=1000)

baselines/classify.py:195

Method__init__

(self, num_classes=1000)

baselines/classify.py:262

Method__init__

(self, in_channel, depth, stride)

baselines/evolve.py:50

Method__init__

(self, in_channel, depth, stride)

baselines/evolve.py:70

Method__init__

(self, input_size, num_layers, mode='ir')

baselines/evolve.py:129

Method__init__

(self, input_size, num_layers, mode='ir')

baselines/evolve.py:180

Method__init__

Build pretrained InceptionV3 Parameters ---------- output_blocks : list of int Indices of blocks to return featur

baselines/inception.py:22

Method__init__

(self, in_dim=100, dim=64)

baselines/generator.py:35

Method__init__

(self)

baselines/generator.py:63

Method__init__

(self)

baselines/generator.py:164

Method__init__

(self, in_dim=100, dim=64)

baselines/generator.py:223

Method__init__

(self, out_dim=128)

baselines/generator.py:242

Method__init__

(self, num_classes, num_features, eps=1e-5, momentum=0.1, affine=False, track_running_stats=T

links/conditional_batchnorm.py:43

Method__init__

Build pretrained InceptionV3 Parameters ---------- output_blocks : list of int Indices of blocks to return featur

models/__init__.py:22

Method__init__

Build pretrained InceptionV3 Parameters ---------- output_blocks : list of int Indices of blocks to return featur

models/inception.py:22

Method__init__

(self)

models/classifiers/classifier.py:20

Method__init__

(self, n_classes)

models/classifiers/classifier.py:68

Method__init__

(self, num_classes=1000)

models/classifiers/classifier.py:125

Method__init__

(self, num_classes=1000)

models/classifiers/classifier.py:149

Method__init__

(self, num_classes=1000)

models/classifiers/classifier.py:173

Method__init__

(self, num_classes=1000)

models/classifiers/classifier.py:195

Method__init__

(self, in_channel, depth, stride)

models/classifiers/evolve.py:50

Method__init__

(self, in_channel, depth, stride)

models/classifiers/evolve.py:70

Method__init__

(self, input_size, num_layers, mode='ir')

models/classifiers/evolve.py:129

Method__init__

(self, input_size, num_layers, mode='ir')

models/classifiers/evolve.py:180

Method__init__

(self, num_features=64, num_classes=0, activation=F.relu)

models/discriminators/snresnet64.py:13

Method__init__

(self, in_ch, out_ch, ksize=3, pad=1, activation=F.relu)

models/discriminators/resblocks.py:58

Method__init__

(self, num_features=64, dim_z=128, bottom_width=4, activation=F.relu, num_classes=0, distribu

models/generators/resnet64.py:12

Method__init__

(self, in_ch, out_ch, h_ch=None, ksize=3, pad=1, activation=F.relu, upsample=False, num_class

models/generators/resblocks.py:16

Method__len__

(self)

top_n_selection.py:50

Method__len__

(self)

top_n_selection.py:79

Method__len__

(self)

top_n_selection.py:116

baselines/dataloader.py:113

Method__len__

(self)

baselines/dataloader.py:173

Method__len__

(self)

baselines/dataloader.py:217

Method__repr__

(self)

baselines/utils.py:66

Method_initialize

(self)

models/generators/resnet64.py:39

Method_initialize

(self)

models/generators/resblocks.py:41

baselines/utils.py:377

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