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github.com/Elsaam2y/DINet_optimized
/ types & classes
Types & classes
61 in github.com/Elsaam2y/DINet_optimized
⨍
Functions
151
◇
Types & classes
61
↓ 10 callers
Class
SameBlock2d
basic block
models/DINet.py:208
↓ 8 callers
Class
DownBlock2d
basic block
models/DINet.py:161
↓ 6 callers
Class
SameBlock2d
basic block (no BN)
models/Syncnet.py:146
↓ 6 callers
Class
SameBlock2d
basic block (BN)
models/old/Syncnet_BN.py:160
↓ 6 callers
Class
SameBlock2d
basic block (BN)
models/old/Syncnet_halfBN.py:153
↓ 5 callers
Class
DownBlock2d
basic block (no BN)
models/Syncnet.py:101
↓ 5 callers
Class
DownBlock2d
basic block (BN)
models/old/Syncnet_BN.py:111
↓ 5 callers
Class
DownBlock2d
basic block (BN)
models/old/Syncnet_halfBN.py:106
↓ 5 callers
Class
ResBlock2d
basic block
models/DINet.py:72
↓ 5 callers
Class
ResBlock2d
basic block (no BN)
models/Syncnet.py:42
↓ 5 callers
Class
ResBlock2d
basic block (BN)
models/old/Syncnet_BN.py:46
↓ 5 callers
Class
ResBlock2d
basic block (BN)
models/old/Syncnet_halfBN.py:43
↓ 3 callers
Class
DINet
models/DINet.py:280
↓ 3 callers
Class
Discriminator
Discriminator for GAN loss
models/Discriminator.py:22
↓ 3 callers
Class
DownBlock1d
basic block (no BN)
models/Syncnet.py:79
↓ 3 callers
Class
DownBlock1d
basic block (BN)
models/old/Syncnet_BN.py:87
↓ 3 callers
Class
DownBlock1d
basic block (no BN)
models/old/Syncnet_halfBN.py:84
↓ 3 callers
Class
ResBlock1d
basic block (no BN)
models/Syncnet.py:5
↓ 3 callers
Class
ResBlock1d
basic block (BN)
models/old/Syncnet_BN.py:5
↓ 3 callers
Class
ResBlock1d
basic block (no BN)
models/old/Syncnet_halfBN.py:6
↓ 2 callers
Class
DINetTrainingOptions
config/config.py:83
↓ 2 callers
Class
DeepSpeech
utils/deep_speech.py:10
↓ 2 callers
Class
DownBlock1d
basic block
models/DINet.py:137
↓ 2 callers
Class
GANLoss
GAN loss
utils/training_utils.py:38
↓ 2 callers
Class
ResBlock1d
basic block
models/DINet.py:31
↓ 2 callers
Class
SameBlock1d
basic block
models/DINet.py:185
↓ 2 callers
Class
SameBlock1d
basic block (no BN)
models/Syncnet.py:125
↓ 2 callers
Class
SameBlock1d
basic block (BN)
models/old/Syncnet_BN.py:137
↓ 2 callers
Class
SameBlock1d
basic block (no BN)
models/old/Syncnet_halfBN.py:132
↓ 2 callers
Class
UpBlock2d
basic block
models/DINet.py:113
↓ 2 callers
Class
Vgg19
Vgg19 network for perceptual loss
models/VGG19.py:6
↓ 1 callers
Class
AdaAT
AdaAT operator
models/DINet.py:231
↓ 1 callers
Class
AudioEncoder
audio encoder
models/Syncnet.py:207
↓ 1 callers
Class
AudioEncoder
audio encoder
models/old/Syncnet_BN.py:223
↓ 1 callers
Class
AudioEncoder
models/old/Syncnet_halfBN.py:212
↓ 1 callers
Class
CallbackContext
sync_batchnorm/replicate.py:23
↓ 1 callers
Class
DINetDataset
dataset/dataset_DINet_frame.py:23
↓ 1 callers
Class
DINetDataset
dataset/dataset_DINet_clip.py:23
↓ 1 callers
Class
DINetInferenceOptions
config/config.py:201
↓ 1 callers
Class
DataParallelWithCallback
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 callers
Class
DataProcessingOptions
config/config.py:4
↓ 1 callers
Class
DownBlock2d
models/Discriminator.py:5
↓ 1 callers
Class
FaceEncoder
image encoder
models/Syncnet.py:168
↓ 1 callers
Class
FaceEncoder
image encoder
models/old/Syncnet_BN.py:184
↓ 1 callers
Class
FaceEncoder
models/old/Syncnet_halfBN.py:177
↓ 1 callers
Class
FutureResult
A thread-safe future implementation. Used only as one-to-one pipe.
sync_batchnorm/comm.py:18
↓ 1 callers
Class
SlavePipe
Pipe for master-slave communication.
sync_batchnorm/comm.py:48
↓ 1 callers
Class
SyncMaster
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 callers
Class
SyncNet
syncnet
models/Syncnet.py:237
↓ 1 callers
Class
SyncNetPerception
use syncnet to compute perception loss
models/Syncnet.py:268
↓ 1 callers
Class
Wav2VecFeatureExtractor
utils/wav2vec.py:22
↓ 1 callers
Class
Wav2vecDS
utils/wav2vecDS.py:24
↓ 1 callers
Class
_Wav2vecDS
utils/wav2vecDS.py:7
Class
BatchNorm2dReimpl
A re-implementation of batch normalization, used for testing the numerical stability. Author: acgtyrant See also: https://github
sync_batchnorm/batchnorm_reimpl.py:18
Class
SyncNet
models/old/Syncnet_BN.py:253
Class
SyncNet
models/old/Syncnet_halfBN.py:238
Class
SynchronizedBatchNorm1d
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
Class
SynchronizedBatchNorm2d
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
Class
SynchronizedBatchNorm3d
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
Class
TorchTestCase
sync_batchnorm/unittest.py:16
Class
_SynchronizedBatchNorm
sync_batchnorm/batchnorm.py:65