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github.com/JingyangQiao/prompt-gradient-projection
/ types & classes
Types & classes
61 in github.com/JingyangQiao/prompt-gradient-projection
⨍
Functions
467
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Types & classes
61
↓ 5 callers
Class
LayerNorm
Subclass torch's LayerNorm to handle fp16.
clip-pgp/models/clip/model.py:153
↓ 4 callers
Class
LayerScale
l2p-pgp/vision_transformer.py:223
↓ 4 callers
Class
LayerScale
dualprompt-pgp/vision_transformer.py:224
↓ 3 callers
Class
Attention
l2p-pgp/vision_transformer.py:195
↓ 2 callers
Class
Attention
dualprompt-pgp/vision_transformer.py:196
↓ 2 callers
Class
Bottleneck
clip-pgp/models/clip/model.py:10
↓ 2 callers
Class
CUB200
l2p-pgp/continual_datasets/continual_datasets.py:427
↓ 2 callers
Class
CUB200
dualprompt-pgp/continual_datasets/continual_datasets.py:420
↓ 2 callers
Class
DummyDataset
clip-pgp/datasets/data_manager.py:99
↓ 2 callers
Class
FashionMNIST
`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 callers
Class
FashionMNIST
`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 callers
Class
Flowers102
l2p-pgp/continual_datasets/continual_datasets.py:273
↓ 2 callers
Class
Flowers102
dualprompt-pgp/continual_datasets/continual_datasets.py:268
↓ 2 callers
Class
Imagenet_R
l2p-pgp/continual_datasets/continual_datasets.py:637
↓ 2 callers
Class
Imagenet_R
dualprompt-pgp/continual_datasets/continual_datasets.py:627
↓ 2 callers
Class
MNIST_RGB
l2p-pgp/continual_datasets/continual_datasets.py:32
↓ 2 callers
Class
MNIST_RGB
dualprompt-pgp/continual_datasets/continual_datasets.py:31
↓ 2 callers
Class
NotMNIST
l2p-pgp/continual_datasets/continual_datasets.py:128
↓ 2 callers
Class
NotMNIST
dualprompt-pgp/continual_datasets/continual_datasets.py:125
↓ 2 callers
Class
SVHN
l2p-pgp/continual_datasets/continual_datasets.py:199
↓ 2 callers
Class
SVHN
dualprompt-pgp/continual_datasets/continual_datasets.py:195
↓ 2 callers
Class
Scene67
l2p-pgp/continual_datasets/continual_datasets.py:570
↓ 2 callers
Class
Scene67
dualprompt-pgp/continual_datasets/continual_datasets.py:561
↓ 2 callers
Class
SmoothedValue
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 callers
Class
SmoothedValue
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 callers
Class
StanfordCars
l2p-pgp/continual_datasets/continual_datasets.py:342
↓ 2 callers
Class
StanfordCars
dualprompt-pgp/continual_datasets/continual_datasets.py:336
↓ 2 callers
Class
TinyImagenet
l2p-pgp/continual_datasets/continual_datasets.py:500
↓ 2 callers
Class
TinyImagenet
dualprompt-pgp/continual_datasets/continual_datasets.py:492
↓ 2 callers
Class
Transformer
clip-pgp/models/clip/model.py:191
↓ 1 callers
Class
AttentionPool2d
clip-pgp/models/clip/model.py:56
↓ 1 callers
Class
CLIP
clip-pgp/models/clip/model.py:250
↓ 1 callers
Class
DataManager
clip-pgp/datasets/data_manager.py:12
↓ 1 callers
Class
EPrompt
dualprompt-pgp/prompt.py:4
↓ 1 callers
Class
Lambda
l2p-pgp/datasets.py:23
↓ 1 callers
Class
Lambda
dualprompt-pgp/datasets.py:22
↓ 1 callers
Class
ModifiedResNet
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 callers
Class
Prompt
l2p-pgp/prompt.py:4
↓ 1 callers
Class
PromptLearner
clip-pgp/models/clip/prompt_learner.py:44
↓ 1 callers
Class
QuickGELU
clip-pgp/models/clip/model.py:162
↓ 1 callers
Class
ResidualAttentionBlock
clip-pgp/models/clip/model.py:167
↓ 1 callers
Class
TextEncoder
clip-pgp/models/clip/prompt_learner.py:25
↓ 1 callers
Class
Ticlip
clip-pgp/models/tclip.py:10
↓ 1 callers
Class
VisionTransformer
clip-pgp/models/clip/model.py:202
↓ 1 callers
Class
cfgc
clip-pgp/models/clip/prompt_learner.py:132
↓ 1 callers
Class
iCifar100
clip-pgp/datasets/data.py:12
Class
BaseLearner
clip-pgp/methods/base.py:8
Class
Block
l2p-pgp/vision_transformer.py:233
Class
Block
dualprompt-pgp/vision_transformer.py:234
Class
MetricLogger
l2p-pgp/utils.py:86
Class
MetricLogger
dualprompt-pgp/utils.py:86
Class
ParallelBlock
l2p-pgp/vision_transformer.py:286
Class
ParallelBlock
dualprompt-pgp/vision_transformer.py:287
Class
PreT_Attention
dualprompt-pgp/attention.py:13
Class
ResPostBlock
l2p-pgp/vision_transformer.py:256
Class
ResPostBlock
dualprompt-pgp/vision_transformer.py:257
Class
SimpleTokenizer
clip-pgp/models/clip/simple_tokenizer.py:62
Class
TPrompts
clip-pgp/methods/tprompt.py:17
Class
VisionTransformer
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
Class
VisionTransformer
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
Class
iData
clip-pgp/datasets/data.py:5