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Types & classes49 in github.com/ZhangYuanhan-AI/OmniBenchmark

⨍ Functions 269◇ Types & classes 49
↓ 9 callersClassAverageMeter
Computes and stores the average and current value
ReCo/reco_imagenet.py:530
↓ 8 callersClassLayerNorm
Subclass torch's LayerNorm to handle fp16.
linear_probe/models/text_transformer.py:15
↓ 3 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
linear_probe/models/modified_resnet.py:157
↓ 3 callersClassMybeit
linear_probe/models/timm_beit.py:20
↓ 3 callersClassVisionTransformer
linear_probe/models/vit.py:260
↓ 2 callersClassAutoAugmentOp
ReCo/randaugment.py:284
↓ 2 callersClassBottleneck
linear_probe/models/vit.py:68
↓ 2 callersClassBottleneck
linear_probe/models/modified_resnet.py:74
↓ 2 callersClassMyViT
linear_probe/models/timm_vit_modified.py:54
↓ 2 callersClassMyViT
linear_probe/models/timm_vit.py:22
↓ 2 callersClassMyeffnet
linear_probe/models/timm_effnet.py:20
↓ 2 callersClassMyinceptionv4
linear_probe/models/timm_inceptionv4.py:20
↓ 2 callersClassMymlp_mixer
linear_probe/models/timm_mlp_mixer.py:20
↓ 2 callersClassMyswimTransformer
linear_probe/models/timm_swinTransformer.py:10
↓ 2 callersClassProgressMeter
ReCo/reco_imagenet.py:554
↓ 2 callersClassReCoLoss
ReCo/losses.py:105
↓ 2 callersClassResNet
linear_probe/models/resnet.py:96
↓ 2 callersClassTransformer
linear_probe/models/vit.py:249
↓ 1 callersClassAttentionPool2d
linear_probe/models/vit.py:114
↓ 1 callersClassAttentionPool2d
linear_probe/models/modified_resnet.py:120
↓ 1 callersClassCLIP_text
linear_probe/models/text_transformer.py:78
↓ 1 callersClassImageReader_ceph
linear_probe/dataset.py:30
↓ 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
linear_probe/models/vit.py:151
↓ 1 callersClassMyrn101
linear_probe/models/timm_rn101.py:20
↓ 1 callersClassQuickGELU
linear_probe/models/vit.py:220
↓ 1 callersClassQuickGELU
linear_probe/models/text_transformer.py:26
↓ 1 callersClassRandAugment
ReCo/randaugment.py:393
↓ 1 callersClassResNet
ReCo/models/resnet.py:143
↓ 1 callersClassResidualAttentionBlock
linear_probe/models/vit.py:225
↓ 1 callersClassResidualAttentionBlock
linear_probe/models/text_transformer.py:31
↓ 1 callersClassTransformer
linear_probe/models/text_transformer.py:55
ClassAverageMeter
Computes and stores the average and current value
linear_probe/utils.py:60
ClassBasicBlock
linear_probe/models/resnet.py:25
ClassBasicBlock
ReCo/models/resnet.py:36
ClassBottleneck
linear_probe/models/resnet.py:57
ClassBottleneck
ReCo/models/resnet.py:85
ClassCLIP
linear_probe/models/vit.py:299
ClassGaussianBlur
blur a single image on CPU
ReCo/randaugment.py:454
ClassGaussianBlur
Gaussian blur augmentation in SimCLR https://arxiv.org/abs/2002.05709
ReCo/moco/loader.py:29
ClassMoCo
Build a MoCo model with: a query encoder, a key encoder, and a queue https://arxiv.org/abs/1911.05722
ReCo/moco/builder.py:22
ClassNormedLinear_Classifier
ReCo/moco/builder.py:7
ClassPaCoLoss
ReCo/losses.py:7
ClassSimpleTokenizer
linear_probe/models/simple_tokenizer.py:62
ClassTwoCropsTransform
Take two random crops of one image as the query and key.
ReCo/moco/loader.py:6
ClassTwoCropsTransformV2
Take two random crops of one image as the query and key.
ReCo/moco/loader.py:17
Classgeneral_dataset
linear_probe/dataset.py:303
Classmemcached_DataFolder
A generic data loader where the samples are arranged in this way: :: root/class_x/xxx.ext root/class_x/xxy.ext root/class_x/x
linear_probe/dataset.py:102
Classmemcached_ImageFolder
A generic data loader where the images are arranged in this way: :: root/dog/xxx.png root/dog/xxy.png root/dog/xxz.png
linear_probe/dataset.py:218
Classmemcached_dataset
linear_probe/dataset.py:249