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Functions965 in github.com/TARTRL/Deepfake_Detection

Methodforward
(self, x)
dfd/timm/models/gluon_xception.py:171
Methodforward
(self, x)
dfd/timm/models/gluon_xception.py:300
Methodforward
(self, x)
dfd/timm/models/gluon_xception.py:437
Methodforward
(self, x)
dfd/timm/models/res2net.py:93
Methodforward
(self, x)
dfd/timm/models/senet.py:79
Methodforward
(self, x)
dfd/timm/models/senet.py:94
Methodforward
(self, x)
dfd/timm/models/senet.py:206
Methodforward
(self, x)
dfd/timm/models/senet.py:393
Methodforward
(self, x)
dfd/timm/models/hrnet.py:496
Methodforward
(self, x)
dfd/timm/models/hrnet.py:732
Methodforward
(self, x)
dfd/timm/models/dpn.py:57
Methodforward
(self, x)
dfd/timm/models/dpn.py:70
Methodforward
(self, x)
dfd/timm/models/dpn.py:84
Methodforward
(self, x)
dfd/timm/models/dpn.py:129
Methodforward
(self, x)
dfd/timm/models/dpn.py:239
Methodforward
(self, x)
dfd/timm/models/densenet.py:50
Methodforward
(self, x)
dfd/timm/models/mobilenetv3.py:136
Methodforward
(self, x)
dfd/timm/models/mobilenetv3.py:199
Methodforward
(self, x)
dfd/timm/models/inception_v4.py:35
Methodforward
(self, x)
dfd/timm/models/inception_v4.py:48
Methodforward
(self, x)
dfd/timm/models/inception_v4.py:71
Methodforward
(self, x)
dfd/timm/models/inception_v4.py:84
Methodforward
(self, x)
dfd/timm/models/inception_v4.py:112
Methodforward
(self, x)
dfd/timm/models/inception_v4.py:134
Methodforward
(self, x)
dfd/timm/models/inception_v4.py:166
Methodforward
(self, x)
dfd/timm/models/inception_v4.py:193
Methodforward
(self, x)
dfd/timm/models/inception_v4.py:222
Methodforward
(self, x)
dfd/timm/models/inception_v4.py:289
Methodforward
(self, x)
dfd/timm/models/selecsls.py:81
Methodforward
(self, x)
dfd/timm/models/selecsls.py:149
Methodforward
(self, x)
dfd/timm/models/nasnet.py:35
Methodforward
(self, x)
dfd/timm/models/nasnet.py:49
Methodforward
(self, x)
dfd/timm/models/nasnet.py:66
Methodforward
(self, x)
dfd/timm/models/nasnet.py:83
Methodforward
(self, x)
dfd/timm/models/nasnet.py:104
Methodforward
(self, x)
dfd/timm/models/nasnet.py:120
Methodforward
(self, x)
dfd/timm/models/nasnet.py:156
Methodforward
(self, x_conv0, x_stem_0)
dfd/timm/models/nasnet.py:218
Methodforward
(self, x, x_prev)
dfd/timm/models/nasnet.py:288
Methodforward
(self, x, x_prev)
dfd/timm/models/nasnet.py:351
Methodforward
(self, x, x_prev)
dfd/timm/models/nasnet.py:405
Methodforward
(self, x, x_prev)
dfd/timm/models/nasnet.py:460
Methodforward
(self, x)
dfd/timm/models/nasnet.py:601
Methodforward
(self, x)
dfd/timm/models/inception_resnet_v2.py:44
Methodforward
(self, x)
dfd/timm/models/inception_resnet_v2.py:73
Methodforward
(self, x)
dfd/timm/models/inception_resnet_v2.py:104
Methodforward
(self, x)
dfd/timm/models/inception_resnet_v2.py:129
Methodforward
(self, x)
dfd/timm/models/inception_resnet_v2.py:154
Methodforward
(self, x)
dfd/timm/models/inception_resnet_v2.py:186
Methodforward
(self, x)
dfd/timm/models/inception_resnet_v2.py:214
Methodforward
(self, x)
dfd/timm/models/inception_resnet_v2.py:320
Methodforward
(self, x)
dfd/timm/models/sknet.py:77
Methodforward
(self, x)
dfd/timm/models/sknet.py:124
Methodforward
(self, x)
dfd/timm/models/efficientnet.py:336
Methodforward
(self, x)
dfd/timm/models/efficientnet.py:443
Methodforward
(self, x)
dfd/timm/models/efficientnet.py:513
Methodforward
Channel shuffle: [N,C,H,W] -> [N,g,C/g,H,W] -> [N,C/g,g,H,w] -> [N,C,H,W]
dfd/timm/models/efficientnet_blocks.py:78
Methodforward
(self, x)
dfd/timm/models/efficientnet_blocks.py:104
Methodforward
(self, x)
dfd/timm/models/efficientnet_blocks.py:129
Methodforward
(self, x)
dfd/timm/models/efficientnet_blocks.py:177
Methodforward
(self, x)
dfd/timm/models/efficientnet_blocks.py:240
Methodforward
(self, x)
dfd/timm/models/efficientnet_blocks.py:314
Methodforward
(self, x)
dfd/timm/models/efficientnet_blocks.py:404
Methodforward
(self, x)
dfd/timm/models/efficientnet_blocks.py:452
Methodforward
(self, x)
dfd/timm/models/efficientnet_blocks.py:529
Methodforward
(self, x)
dfd/timm/models/resnet.py:150
Methodforward
(self, x)
dfd/timm/models/resnet.py:215
Methodforward
(self, x)
dfd/timm/models/resnet.py:462
Methodforward
(self, x)
dfd/timm/models/layers/drop.py:80
Methodforward
(self, x)
dfd/timm/models/layers/drop.py:110
Methodforward
(self, x)
dfd/timm/models/layers/se.py:16
Methodforward
(self, x)
dfd/timm/models/layers/avg_pool2d_same.py:29
Methodforward
(self, x)
dfd/timm/models/layers/conv2d_same.py:30
Methodforward
(self, x)
dfd/timm/models/layers/cbam.py:27
Methodforward
(self, x)
dfd/timm/models/layers/cbam.py:42
Methodforward
(self, x)
dfd/timm/models/layers/cbam.py:55
Methodforward
(self, x)
dfd/timm/models/layers/cbam.py:70
Methodforward
(self, x)
dfd/timm/models/layers/cbam.py:84
Methodforward
(self, x)
dfd/timm/models/layers/cbam.py:96
Methodforward
(ctx, x)
dfd/timm/models/layers/activations.py:37
Methodforward
(ctx, x)
dfd/timm/models/layers/activations.py:65
Methodforward
(self, x)
dfd/timm/models/layers/activations.py:95
Methodforward
(self, x)
dfd/timm/models/layers/activations.py:104
Methodforward
(self, x)
dfd/timm/models/layers/activations.py:118
Methodforward
(self, x)
dfd/timm/models/layers/activations.py:132
Methodforward
(self, x)
dfd/timm/models/layers/activations.py:146
Methodforward
(self, x)
dfd/timm/models/layers/activations.py:162
Methodforward
(self, x)
dfd/timm/models/layers/eca.py:63
Methodforward
(self, x)
dfd/timm/models/layers/eca.py:111
Methodforward
(self, x)
dfd/timm/models/layers/conv_bn_act.py:25
Methodforward
(self, x)
dfd/timm/models/layers/adaptive_avgmax_pool.py:57
Methodforward
(self, x)
dfd/timm/models/layers/adaptive_avgmax_pool.py:66
Methodforward
(self, x)
dfd/timm/models/layers/adaptive_avgmax_pool.py:88
Methodforward
(self, x)
dfd/timm/models/layers/median_pool.py:44
Methodforward
(self, x, routing_weights)
dfd/timm/models/layers/cond_conv2d.py:83
Methodforward
(self, x)
dfd/timm/models/layers/selective_kernel.py:37
Methodforward
(self, x)
dfd/timm/models/layers/selective_kernel.py:110
Methodforward
(self, x)
dfd/timm/models/layers/mixed_conv2d.py:47
Methodforward
(self, x)
dfd/timm/models/layers/test_time_pool.py:27
Methodforward
(self, input: torch.Tensor)
dfd/timm/models/layers/split_batchnorm.py:28
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