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Types & classes61 in github.com/Elsaam2y/DINet_optimized

↓ 10 callersClassSameBlock2d
basic block
models/DINet.py:208
↓ 8 callersClassDownBlock2d
basic block
models/DINet.py:161
↓ 6 callersClassSameBlock2d
basic block (no BN)
models/Syncnet.py:146
↓ 6 callersClassSameBlock2d
basic block (BN)
models/old/Syncnet_BN.py:160
↓ 6 callersClassSameBlock2d
basic block (BN)
models/old/Syncnet_halfBN.py:153
↓ 5 callersClassDownBlock2d
basic block (no BN)
models/Syncnet.py:101
↓ 5 callersClassDownBlock2d
basic block (BN)
models/old/Syncnet_BN.py:111
↓ 5 callersClassDownBlock2d
basic block (BN)
models/old/Syncnet_halfBN.py:106
↓ 5 callersClassResBlock2d
basic block
models/DINet.py:72
↓ 5 callersClassResBlock2d
basic block (no BN)
models/Syncnet.py:42
↓ 5 callersClassResBlock2d
basic block (BN)
models/old/Syncnet_BN.py:46
↓ 5 callersClassResBlock2d
basic block (BN)
models/old/Syncnet_halfBN.py:43
↓ 3 callersClassDINet
models/DINet.py:280
↓ 3 callersClassDiscriminator
Discriminator for GAN loss
models/Discriminator.py:22
↓ 3 callersClassDownBlock1d
basic block (no BN)
models/Syncnet.py:79
↓ 3 callersClassDownBlock1d
basic block (BN)
models/old/Syncnet_BN.py:87
↓ 3 callersClassDownBlock1d
basic block (no BN)
models/old/Syncnet_halfBN.py:84
↓ 3 callersClassResBlock1d
basic block (no BN)
models/Syncnet.py:5
↓ 3 callersClassResBlock1d
basic block (BN)
models/old/Syncnet_BN.py:5
↓ 3 callersClassResBlock1d
basic block (no BN)
models/old/Syncnet_halfBN.py:6
↓ 2 callersClassDINetTrainingOptions
config/config.py:83
↓ 2 callersClassDeepSpeech
utils/deep_speech.py:10
↓ 2 callersClassDownBlock1d
basic block
models/DINet.py:137
↓ 2 callersClassGANLoss
GAN loss
utils/training_utils.py:38
↓ 2 callersClassResBlock1d
basic block
models/DINet.py:31
↓ 2 callersClassSameBlock1d
basic block
models/DINet.py:185
↓ 2 callersClassSameBlock1d
basic block (no BN)
models/Syncnet.py:125
↓ 2 callersClassSameBlock1d
basic block (BN)
models/old/Syncnet_BN.py:137
↓ 2 callersClassSameBlock1d
basic block (no BN)
models/old/Syncnet_halfBN.py:132
↓ 2 callersClassUpBlock2d
basic block
models/DINet.py:113
↓ 2 callersClassVgg19
Vgg19 network for perceptual loss
models/VGG19.py:6
↓ 1 callersClassAdaAT
AdaAT operator
models/DINet.py:231
↓ 1 callersClassAudioEncoder
audio encoder
models/Syncnet.py:207
↓ 1 callersClassAudioEncoder
audio encoder
models/old/Syncnet_BN.py:223
↓ 1 callersClassAudioEncoder
models/old/Syncnet_halfBN.py:212
↓ 1 callersClassCallbackContext
sync_batchnorm/replicate.py:23
↓ 1 callersClassDINetDataset
dataset/dataset_DINet_frame.py:23
↓ 1 callersClassDINetDataset
dataset/dataset_DINet_clip.py:23
↓ 1 callersClassDINetInferenceOptions
config/config.py:201
↓ 1 callersClassDataParallelWithCallback
Data Parallel with a replication callback. An replication callback `__data_parallel_replicate__` of each module will be invoked after being
sync_batchnorm/replicate.py:50
↓ 1 callersClassDataProcessingOptions
config/config.py:4
↓ 1 callersClassDownBlock2d
models/Discriminator.py:5
↓ 1 callersClassFaceEncoder
image encoder
models/Syncnet.py:168
↓ 1 callersClassFaceEncoder
image encoder
models/old/Syncnet_BN.py:184
↓ 1 callersClassFaceEncoder
models/old/Syncnet_halfBN.py:177
↓ 1 callersClassFutureResult
A thread-safe future implementation. Used only as one-to-one pipe.
sync_batchnorm/comm.py:18
↓ 1 callersClassSlavePipe
Pipe for master-slave communication.
sync_batchnorm/comm.py:48
↓ 1 callersClassSyncMaster
An abstract `SyncMaster` object. - During the replication, as the data parallel will trigger an callback of each module, all slave devices should
sync_batchnorm/comm.py:58
↓ 1 callersClassSyncNet
syncnet
models/Syncnet.py:237
↓ 1 callersClassSyncNetPerception
use syncnet to compute perception loss
models/Syncnet.py:268
↓ 1 callersClassWav2VecFeatureExtractor
utils/wav2vec.py:22
↓ 1 callersClassWav2vecDS
utils/wav2vecDS.py:24
↓ 1 callersClass_Wav2vecDS
utils/wav2vecDS.py:7
ClassBatchNorm2dReimpl
A re-implementation of batch normalization, used for testing the numerical stability. Author: acgtyrant See also: https://github
sync_batchnorm/batchnorm_reimpl.py:18
ClassSyncNet
models/old/Syncnet_BN.py:253
ClassSyncNet
models/old/Syncnet_halfBN.py:238
ClassSynchronizedBatchNorm1d
r"""Applies Synchronized Batch Normalization over a 2d or 3d input that is seen as a mini-batch. .. math:: y = \frac{x - mean[x]}{ \
sync_batchnorm/batchnorm.py:217
ClassSynchronizedBatchNorm2d
r"""Applies Batch Normalization over a 4d input that is seen as a mini-batch of 3d inputs .. math:: y = \frac{x - mean[x]}{ \sqrt{Va
sync_batchnorm/batchnorm.py:280
ClassSynchronizedBatchNorm3d
r"""Applies Batch Normalization over a 5d input that is seen as a mini-batch of 4d inputs .. math:: y = \frac{x - mean[x]}{ \sqrt{Va
sync_batchnorm/batchnorm.py:341
ClassTorchTestCase
sync_batchnorm/unittest.py:16
Class_SynchronizedBatchNorm
sync_batchnorm/batchnorm.py:65