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hub / github.com/JingyangQiao/prompt-gradient-projection / types & classes

Types & classes61 in github.com/JingyangQiao/prompt-gradient-projection

↓ 5 callersClassLayerNorm
Subclass torch's LayerNorm to handle fp16.
clip-pgp/models/clip/model.py:153
↓ 4 callersClassLayerScale
l2p-pgp/vision_transformer.py:223
↓ 4 callersClassLayerScale
dualprompt-pgp/vision_transformer.py:224
↓ 3 callersClassAttention
l2p-pgp/vision_transformer.py:195
↓ 2 callersClassAttention
dualprompt-pgp/vision_transformer.py:196
↓ 2 callersClassBottleneck
clip-pgp/models/clip/model.py:10
↓ 2 callersClassCUB200
l2p-pgp/continual_datasets/continual_datasets.py:427
↓ 2 callersClassCUB200
dualprompt-pgp/continual_datasets/continual_datasets.py:420
↓ 2 callersClassDummyDataset
clip-pgp/datasets/data_manager.py:99
↓ 2 callersClassFashionMNIST
`Fashion-MNIST <https://github.com/zalandoresearch/fashion-mnist>`_ Dataset. Args: root (string): Root directory of dataset where ``Fashi
l2p-pgp/continual_datasets/continual_datasets.py:100
↓ 2 callersClassFashionMNIST
`Fashion-MNIST <https://github.com/zalandoresearch/fashion-mnist>`_ Dataset. Args: root (string): Root directory of dataset where ``Fashi
dualprompt-pgp/continual_datasets/continual_datasets.py:98
↓ 2 callersClassFlowers102
l2p-pgp/continual_datasets/continual_datasets.py:273
↓ 2 callersClassFlowers102
dualprompt-pgp/continual_datasets/continual_datasets.py:268
↓ 2 callersClassImagenet_R
l2p-pgp/continual_datasets/continual_datasets.py:637
↓ 2 callersClassImagenet_R
dualprompt-pgp/continual_datasets/continual_datasets.py:627
↓ 2 callersClassMNIST_RGB
l2p-pgp/continual_datasets/continual_datasets.py:32
↓ 2 callersClassMNIST_RGB
dualprompt-pgp/continual_datasets/continual_datasets.py:31
↓ 2 callersClassNotMNIST
l2p-pgp/continual_datasets/continual_datasets.py:128
↓ 2 callersClassNotMNIST
dualprompt-pgp/continual_datasets/continual_datasets.py:125
↓ 2 callersClassSVHN
l2p-pgp/continual_datasets/continual_datasets.py:199
↓ 2 callersClassSVHN
dualprompt-pgp/continual_datasets/continual_datasets.py:195
↓ 2 callersClassScene67
l2p-pgp/continual_datasets/continual_datasets.py:570
↓ 2 callersClassScene67
dualprompt-pgp/continual_datasets/continual_datasets.py:561
↓ 2 callersClassSmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
l2p-pgp/utils.py:24
↓ 2 callersClassSmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
dualprompt-pgp/utils.py:24
↓ 2 callersClassStanfordCars
l2p-pgp/continual_datasets/continual_datasets.py:342
↓ 2 callersClassStanfordCars
dualprompt-pgp/continual_datasets/continual_datasets.py:336
↓ 2 callersClassTinyImagenet
l2p-pgp/continual_datasets/continual_datasets.py:500
↓ 2 callersClassTinyImagenet
dualprompt-pgp/continual_datasets/continual_datasets.py:492
↓ 2 callersClassTransformer
clip-pgp/models/clip/model.py:191
↓ 1 callersClassAttentionPool2d
clip-pgp/models/clip/model.py:56
↓ 1 callersClassCLIP
clip-pgp/models/clip/model.py:250
↓ 1 callersClassDataManager
clip-pgp/datasets/data_manager.py:12
↓ 1 callersClassEPrompt
dualprompt-pgp/prompt.py:4
↓ 1 callersClassLambda
l2p-pgp/datasets.py:23
↓ 1 callersClassLambda
dualprompt-pgp/datasets.py:22
↓ 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,
clip-pgp/models/clip/model.py:93
↓ 1 callersClassPrompt
l2p-pgp/prompt.py:4
↓ 1 callersClassPromptLearner
clip-pgp/models/clip/prompt_learner.py:44
↓ 1 callersClassQuickGELU
clip-pgp/models/clip/model.py:162
↓ 1 callersClassResidualAttentionBlock
clip-pgp/models/clip/model.py:167
↓ 1 callersClassTextEncoder
clip-pgp/models/clip/prompt_learner.py:25
↓ 1 callersClassTiclip
clip-pgp/models/tclip.py:10
↓ 1 callersClassVisionTransformer
clip-pgp/models/clip/model.py:202
↓ 1 callersClasscfgc
clip-pgp/models/clip/prompt_learner.py:132
↓ 1 callersClassiCifar100
clip-pgp/datasets/data.py:12
ClassBaseLearner
clip-pgp/methods/base.py:8
ClassBlock
l2p-pgp/vision_transformer.py:233
ClassBlock
dualprompt-pgp/vision_transformer.py:234
ClassMetricLogger
l2p-pgp/utils.py:86
ClassMetricLogger
dualprompt-pgp/utils.py:86
ClassParallelBlock
l2p-pgp/vision_transformer.py:286
ClassParallelBlock
dualprompt-pgp/vision_transformer.py:287
ClassPreT_Attention
dualprompt-pgp/attention.py:13
ClassResPostBlock
l2p-pgp/vision_transformer.py:256
ClassResPostBlock
dualprompt-pgp/vision_transformer.py:257
ClassSimpleTokenizer
clip-pgp/models/clip/simple_tokenizer.py:62
ClassTPrompts
clip-pgp/methods/tprompt.py:17
ClassVisionTransformer
Vision Transformer A PyTorch impl of : `An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale` - https://arxiv.org/a
l2p-pgp/vision_transformer.py:326
ClassVisionTransformer
Vision Transformer A PyTorch impl of : `An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale` - https://arxiv.org/a
dualprompt-pgp/vision_transformer.py:327
ClassiData
clip-pgp/datasets/data.py:5