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Types & classes49 in github.com/Wangyulin-user/TUMSyn

⨍ Functions 211◇ Types & classes 49

↓ 5 callersClassLayerNorm

Subclass torch's LayerNorm to handle fp16.

CLIP_training/model/model.py:161

↓ 5 callersClassLayerNorm

Subclass torch's LayerNorm to handle fp16.

CLIP/model.py:161

↓ 2 callersClassAverager

↓ 2 callersClassBottleneck

CLIP_training/model/model.py:10

↓ 2 callersClassBottleneck

CLIP/model.py:10

↓ 2 callersClassCLIP

CLIP/model.py:247

↓ 2 callersClassLayerNorm

models/cross_att.py:53

↓ 2 callersClassLinear

models/linear.py:4

↓ 2 callersClassResBlock

models/resencoder.py:20

↓ 2 callersClassResEncoder

models/resencoder.py:74

↓ 2 callersClassSimpleTokenizer

utils_clip/simple_tokenizer.py:62

↓ 2 callersClassTransformer

CLIP_training/model/model.py:199

↓ 2 callersClassTransformer

CLIP/model.py:199

↓ 1 callersClassAttentionPool3d

CLIP_training/model/model.py:56

↓ 1 callersClassAttentionPool3d

CLIP/model.py:56

↓ 1 callersClassBasic_block

models/cross_att.py:209

↓ 1 callersClassBiasFree_LayerNorm

models/cross_att.py:16

↓ 1 callersClassBlock3D

models/cross_att.py:168

↓ 1 callersClassCLIP

CLIP_training/model/model.py:247

↓ 1 callersClassC_Cross_Attention3D

models/cross_att.py:126

↓ 1 callersClassFileHandler

A handler class which writes formatted logging records to disk files.

utils_clip/logger.py:11

↓ 1 callersClassFileHandler

A handler class which writes formatted logging records to disk files.

CLIP_training/utils/logger.py:11

↓ 1 callersClassImageFolder

datasets/image_folder.py:24

↓ 1 callersClassMRI_dataset

CLIP_training/dataloader/dataset.py:14

↓ 1 callersClassMlp

models/cross_att.py:75

↓ 1 callersClassModifiedResNet

A ResNet class that is similar to torchvision's but contains the following changes: - There are now 3 "stem" convolutions as opposed to 1, wi

CLIP_training/model/model.py:93

↓ 1 callersClassModifiedResNet

A ResNet class that is similar to torchvision's but contains the following changes: - There are now 3 "stem" convolutions as opposed to 1, wi

CLIP/model.py:93

↓ 1 callersClassQuickGELU

CLIP_training/model/model.py:170

↓ 1 callersClassQuickGELU

CLIP/model.py:170

↓ 1 callersClassResBlock

models/fusionnet.py:9

↓ 1 callersClassResidualAttentionBlock

CLIP_training/model/model.py:175

↓ 1 callersClassResidualAttentionBlock

CLIP/model.py:175

↓ 1 callersClassSimpleTokenizer

CLIP_training/utils/simple_tokenizer.py:62

↓ 1 callersClassUpsampler

models/resencoder.py:44

↓ 1 callersClassVisualTransformer

CLIP_training/model/model.py:210

↓ 1 callersClassVisualTransformer

CLIP/model.py:210

↓ 1 callersClassWithBias_LayerNorm

models/cross_att.py:33

ClassDepthWiseConv3d

models/cross_att.py:65

models/fusionnet.py:33

models/lccd.py:11

ClassLinear_CNN

models/linear.py:23

models/mlp.py:7

ClassPairedImageFolders

datasets/image_folder.py:89

ClassResDecoder

models/resencoder.py:140

ClassSRImplicitPaired

datasets/wrappers.py:11

ClassSelf_Attention3D

models/cross_att.py:93