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Functions2,927 in github.com/G3H4N/GAN-Trained-Model-Detection-and-Attribution

⨍ Functions 2,927◇ Types & classes 307
↓ 33 callersMethodwrite
(self, message)
models/train.py:23
↓ 19 callersFunctiond_loss_fn
(r_logit, f_logit)
GANs/model.py:18
↓ 19 callersFunctiong_loss_fn
(f_logit)
GANs/model.py:23
↓ 19 callersFunctionloadData
(filename)
models/MIA_HALF/code/data_preparation.py:54
↓ 14 callersFunctionsaveData
(dir, filename, obj)
models/MIA_HALF/code/CIFAR10_devide_for_query.py:15
↓ 12 callersFunctionloadData
(filename)
models/CIFAR10_model_train_multi_MIA.py:105
↓ 12 callersFunctiontest
(net, test_loader)
models/Combine_SVHN_real_GANStrctr_classifier_train_CelebA_only.py:394
↓ 9 callersFunctionloadData
(filename)
models/MIA_HALF/code/CIFAR10_devide_for_query.py:32
↓ 9 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/classifier_train_binaryclassify_multimage_byGANstr.py:87
↓ 9 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/classifier_train_binaryclassify_multimage_byMstr.py:87
↓ 9 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/classifier_train_together_binaryclassify_multimage.py:87
↓ 9 callersFunctiontest
(net, i_index, t_index, test_loader)
models/SVHN_real_GANship_classifier_train.py:432
↓ 9 callersFunctiontest
(net, test_loader)
models/Combine_Noise_GANStrctr_classifier_train.py:394
↓ 9 callersFunctiontest
(net, i_index, t_index, test_loader)
models/SVHN_fake_GANship_Binary_classifier_train2.py:146
↓ 9 callersFunctiontest_binary
(net, i_index, t_index, test_loader)
models/SVHN_real_FakeORReal_classifier_train.py:277
↓ 9 callersFunctiontest_binary
(net, i_index, t_index, test_loader)
models/SVHN_fake_GANship_Binary_classifier_train.py:260
↓ 8 callersFunctionloadData
(filename)
models/SVHN_real_GANship_classifier_train.py:77
↓ 8 callersFunctionloadData
(filename)
models/SVHN_fake_GANship_Binary_classifier_train2.py:77
↓ 8 callersFunctionloadData
(filename)
models/SVHN_real_FakeORReal_classifier_train.py:77
↓ 8 callersFunctionloadData
(filename)
models/SVHN_fake_GANship_Binary_classifier_train.py:77
↓ 8 callersFunctionloadData
(filename)
models/SVHN_real_FakeORReal_classifier_train1.py:77
↓ 8 callersFunctiontest
(net, test_loader)
models/CelebA_Noise_GANStrctr_classifier_train.py:394
↓ 8 callersFunctiontest
(net, test_loader)
models/Combine_real_GANStrctr_classifier_train.py:394
↓ 8 callersFunctiontest
(net, test_loader)
models/SVHN_Noise_GANStrctr_classifier_train.py:394
↓ 8 callersFunctiontest
(net, test_loader)
models/Combine_CIFAR10_real_GANStrctr_classifier_train.py:394
↓ 8 callersFunctiontest
(net, test_loader)
models/FMNIST_Noise_GANStrctr_classifier_train.py:394
↓ 7 callersMethod__init__
(self, x_dim, c_dim, dim=96, norm='batch_norm', weight_norm='none')
GANs/model.py:497
↓ 7 callersMethod__init__
(self, x_dim, c_dim, dim=96, norm='batch_norm', weight_norm='none')
models/GAN_structures.py:497
↓ 7 callersFunctionloadData
(filename)
models/Combine_Noise_GANStrctr_classifier_train.py:64
↓ 7 callersFunctionloadData
(filename)
models/Combine_real_GANStrctr_classifier_train.py:64
↓ 7 callersFunctionloadData
(filename)
models/Combine_CIFAR10_real_GANStrctr_classifier_train.py:64
↓ 6 callersMethod__init__
(self, nch_image, nch_info, nch_ker=128)
Attacks/model.py:156
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_real_GANship_classifier_train.py:100
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_other_GANship_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/classifier_train_multiclass_multiGAN.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/classifier_train_together_multiclass.py:137
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/Combine_Noise_GANStrctr_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CelebA_other_GANship_classifier_train.py:86
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CelebA_Noise_GANStrctr_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_real_GANship_classifier_train_labelonly.py:93
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_MNIST_GANStrctr_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/classifier_train_real_multi_GANStrctr_byMstr.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/classifier_train_real_multi_GANStrctr.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/Combine_real_GANStrctr_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/Combine_SVHN_real_GANStrctr_classifier_train_CelebA_only.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_real_GANStrctr_classifier_train.py:99
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/FMNIST_SVHN_GANship_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/classifier_train_together.py:137
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/FMNIST_real_GANStrctr_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/FMNIST_MNIST_GANStrctr_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/FMNIST_real_GANship_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CelebA_Noise_GANship_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/Noise_GANStrctr_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CelebA_FFHQ_GANStrctr_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/Noise_GANship_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_Noise_GANStrctr_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/FMNIST_Noise_GANship_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/Combine_CIFAR10_real_GANStrctr_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_Noise_GANship_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/FMNIST_Noise_GANStrctr_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CelebA_FFHQ_GANship_classifier_train.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/classifier_train_real_multiclass_byMstr.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/classifier_train_real_multiclass_byGANstr.py:87
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/FMNIST_other_GANship_classifier_train.py:86
↓ 6 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/classifier_train_real_multiclass.py:87
↓ 6 callersFunctionsaveData
(dir, filename, obj)
models/posterio_GANship_datasets.py:118
↓ 6 callersFunctiontest
(net, test_loader)
models/SVHN_MNIST_GANStrctr_classifier_train.py:394
↓ 6 callersFunctiontest
(net, test_loader)
models/FMNIST_MNIST_GANStrctr_classifier_train.py:394
↓ 5 callersMethod__init__
(self, c_dim=8)
models/structures/lenet.py:7
↓ 5 callersFunction_check
(images, dtypes, min_value=-np.inf, max_value=np.inf)
GANs/imlib/dtype.py:8
↓ 5 callersFunction_get_norm_fn_2d
(norm)
GANs/model.py:148
↓ 5 callersFunction_get_norm_fn_2d
(norm)
models/GAN_structures.py:148
↓ 5 callersFunction_get_weight_norm_fn
(weight_norm)
GANs/model.py:159
↓ 5 callersFunction_get_weight_norm_fn
(weight_norm)
models/GAN_structures.py:159
↓ 5 callersFunctionloadData
(filename)
models/CelebA_Noise_GANStrctr_classifier_train.py:64
↓ 5 callersFunctionloadData
(filename)
models/posterio_GANship_datasets.py:111
↓ 5 callersFunctionloadData
(filename)
models/Combine_SVHN_real_GANStrctr_classifier_train_CelebA_only.py:64
↓ 5 callersFunctionloadData
(filename)
models/SVHN_Noise_GANStrctr_classifier_train.py:64
↓ 5 callersFunctionloadData
(filename)
models/FMNIST_Noise_GANStrctr_classifier_train.py:64
↓ 5 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/posterio_GANship_datasets.py:134
↓ 5 callersFunctionsaveData
(dir, filename, obj)
models/Noise_GANship_GANStrctr_trainsets.py:112
↓ 5 callersFunctionsaveData
(dir, filename, obj)
models/Noise_GANship_GANStrctr_testsetsTGAN.py:112
↓ 5 callersFunctionsaveData
(dir, filename, obj)
models/Noise_GANship_GANStrctr_testsets.py:112
↓ 5 callersFunctiontest
(net, i_index, t_index, test_loader)
models/CIFAR10_real_GANship_classifier_train_sepVGG.py:239
↓ 5 callersFunctiontest
(net, i_index, t_index, test_loader)
models/CelebA_real_GANStrctr_classifier_train_sepVGG.py:239
↓ 5 callersFunctiontest
(net, i_index, t_index, test_loader)
models/CelebA_real_GANStrctr_classifier_train.py:239
↓ 5 callersFunctiontest
(net, i_index, t_index, test_loader)
models/classifier_train_binaryclassify_multimage_byGANstr.py:518
↓ 5 callersFunctiontest
(net, i_index, t_index, test_loader)
models/classifier_train_binaryclassify_multimage_byMstr.py:518
↓ 5 callersFunctiontest
(net, i_index, t_index, test_loader)
models/SVHN_real_GANStrctr_classifier_train.py:406
↓ 5 callersFunctiontest
(net, i_index, t_index, test_loader)
models/FMNIST_real_GANStrctr_classifier_train.py:394
↓ 5 callersFunctiontest
(net, i_index, t_index, test_loader)
models/CIFAR10_real_GANship_classifier_train2.py:239
↓ 4 callersMethod__init__
(self, *args, **keyword_args)
GANs/torchlib/layers/layers.py:16
↓ 4 callersMethod__init__
(self, *args, **keyword_args)
models/GAN_layers.py:16
↓ 4 callersMethod__init__
(self, in_channels, out_channels)
models/structures/shufflenetv2.py:59
↓ 4 callersFunction_gradient_penalty
(f, real, fake=None)
GANs/model.py:80
↓ 4 callersFunction_gradient_penalty
(f, real, fake=None)
models/GAN_structures.py:80
↓ 4 callersMethod_make_dense_layers
(self, block, in_planes, nblock)
models/structures/densenet.py:68
↓ 4 callersMethod_make_layer
(self, block, planes, num_blocks, stride)
models/structures/senet.py:92
↓ 4 callersMethod_make_layer
(self, in_planes, out_planes, num_blocks, dense_depth, stride)
models/structures/dpn.py:53
↓ 4 callersMethod_make_layer
(self, block, planes, num_blocks, stride)
models/structures/preact_resnet.py:77
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