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github.com/ant-research/DreamLIP
/ types & classes
Types & classes
72 in github.com/ant-research/DreamLIP
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Functions
432
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Types & classes
72
↓ 13 callers
Class
_TorchSerializedList
A list-like object whose items are serialized and stored in a torch tensor. When launching a process that uses TorchSerializedList with "fork
training/data.py:41
↓ 7 callers
Class
DataInfo
training/data.py:526
↓ 4 callers
Class
DistributedSampler
dataloaders/utils.py:74
↓ 4 callers
Class
LayerScale
open_clip/transformer.py:39
↓ 4 callers
Class
PreprocessCfg
open_clip/transform.py:18
↓ 3 callers
Class
AttentionalPooler
open_clip/transformer.py:165
↓ 3 callers
Class
AverageMeter
Computes and stores the average and current value
training/train.py:23
↓ 3 callers
Class
CLIPTextCfg
open_clip/model.py:58
↓ 3 callers
Class
CLIPVisionCfg
open_clip/model.py:27
↓ 3 callers
Class
HFTokenizer
HuggingFace tokenizer wrapper
open_clip/tokenizer.py:397
↓ 2 callers
Class
AugmentationCfg
open_clip/transform.py:72
↓ 2 callers
Class
Bottleneck
open_clip/modified_resnet.py:10
↓ 2 callers
Class
CLIP
open_clip/model.py:251
↓ 2 callers
Class
GroupWiseLinear
open_clip/model.py:221
↓ 2 callers
Class
MultimodalCfg
open_clip/coca_model.py:45
↓ 2 callers
Class
ResidualAttentionBlock
open_clip/transformer.py:188
↓ 2 callers
Class
ResizeKeepRatio
Resize and Keep Ratio Copy & paste from `timm`
open_clip/transform.py:98
↓ 2 callers
Class
SimpleTokenizer
open_clip/tokenizer.py:126
↓ 2 callers
Class
Transformer
open_clip/transformer.py:291
↓ 2 callers
Class
Warper
dataloaders/flowers102.py:14
↓ 1 callers
Class
AsymmetricLoss
open_clip/loss.py:728
↓ 1 callers
Class
Attention
open_clip/transformer.py:89
↓ 1 callers
Class
AttentionPool2d
open_clip/modified_resnet.py:58
↓ 1 callers
Class
CenterCropOrPad
Crops the given image at the center. If the image is torch Tensor, it is expected to have [..., H, W] shape, where ... means an arbitrary numb
open_clip/transform.py:217
↓ 1 callers
Class
ClipLoss
open_clip/loss.py:102
↓ 1 callers
Class
CoCa
open_clip/coca_model.py:79
↓ 1 callers
Class
CoCaLoss
open_clip/loss.py:443
↓ 1 callers
Class
CsvDataset
training/data.py:142
↓ 1 callers
Class
CustomTextCLIP
open_clip/model.py:393
↓ 1 callers
Class
DistillClipLoss
open_clip/loss.py:489
↓ 1 callers
Class
Flickr8kParser
Parser for extracting captions from the Flickr8k dataset web page.
dataloaders/flickr30k.py:15
↓ 1 callers
Class
GaussianBlur
open_clip/transform.py:40
↓ 1 callers
Class
HFTextEncoder
HuggingFace model adapter
open_clip/hf_model.py:96
↓ 1 callers
Class
JsonDataset
training/data.py:418
↓ 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, wi
open_clip/modified_resnet.py:95
↓ 1 callers
Class
MultimodalTransformer
open_clip/transformer.py:712
↓ 1 callers
Class
PatchDropout
https://arxiv.org/abs/2212.00794
open_clip/transformer.py:49
↓ 1 callers
Class
RandomAugment
training/random_aug.py:404
↓ 1 callers
Class
ResampledShards2
An iterable dataset yielding a list of urls.
training/data.py:785
↓ 1 callers
Class
SharedEpoch
training/data.py:514
↓ 1 callers
Class
SigLipLoss
Sigmoid Loss for Language Image Pre-Training (SigLIP) - https://arxiv.org/abs/2303.15343 @article{zhai2023sigmoid, title={Sigmoid loss for
open_clip/loss.py:616
↓ 1 callers
Class
SyntheticDataset
training/data.py:1065
↓ 1 callers
Class
TextTransformer
open_clip/transformer.py:566
↓ 1 callers
Class
TimmModel
timm model adapter
open_clip/timm_model.py:28
↓ 1 callers
Class
TxtDataset
training/data.py:305
↓ 1 callers
Class
VisionTransformer
open_clip/transformer.py:328
↓ 1 callers
Class
Warper
dataloaders/dtd.py:13
↓ 1 callers
Class
color_jitter
Apply Color Jitter to the PIL image with a specified probability.
open_clip/transform.py:252
↓ 1 callers
Class
detshuffle2
training/data.py:753
↓ 1 callers
Class
gray_scale
Apply Gray Scale to the PIL image with a specified probability.
open_clip/transform.py:268
↓ 1 callers
Class
proxy_anchor_loss
ref: https://arxiv.org/abs/2003.13911 official pytorch codes: https://github.com/tjddus9597/Proxy-Anchor-CVPR2020
open_clip/loss.py:775
Class
BaseModelOutput
open_clip/hf_model.py:20
Class
ClsLastHiddenStatePooler
CLS token pooling NOTE: this is equivalent to ClsPooler above with use_pooler_output=False
open_clip/hf_model.py:83
Class
ClsPooler
CLS token pooling
open_clip/hf_model.py:64
Class
CocoCaptions
`MS Coco Captions <https://cocodataset.org/#captions-2015>`_ Dataset. It requires the `COCO API to be installed <https://github.com/pdollar/coco/
dataloaders/coco.py:62
Class
CocoDetection
`MS Coco Detection <https://cocodataset.org/#detection-2016>`_ Dataset. It requires the `COCO API to be installed <https://github.com/pdollar/coc
dataloaders/coco.py:11
Class
CustomResidualAttentionBlock
open_clip/transformer.py:246
Class
Flickr30k
`Flickr30k Entities <https://bryanplummer.com/Flickr30kEntities/>`_ Dataset. Args: root (string): Root directory where images are downloa
dataloaders/flickr30k.py:114
Class
Flickr8k
`Flickr8k Entities <http://hockenmaier.cs.illinois.edu/8k-pictures.html>`_ Dataset. Args: root (string): Root directory where images are
dataloaders/flickr30k.py:58
Class
LayerNorm
Subclass torch's LayerNorm (with cast back to input dtype).
open_clip/transformer.py:24
Class
LayerNormFp32
Subclass torch's LayerNorm to handle fp16 (by casting to float32 and back).
open_clip/transformer.py:15
Class
MaxPooler
Max pooling
open_clip/hf_model.py:55
Class
MeanPooler
Mean pooling
open_clip/hf_model.py:46
Class
NeighbourExchange
open_clip/loss.py:581
Class
NeighbourExchangeBidir
open_clip/loss.py:598
Class
ParseKwargs
training/params.py:14
Class
PretrainedConfig
open_clip/hf_model.py:24
Class
QuickGELU
open_clip/transformer.py:33
Class
SigLipTokenizer
HuggingFace tokenizer wrapper for SigLIP T5 compatible sentencepiece vocabs
open_clip/tokenizer.py:446
Class
_DictTree
training/random_aug.py:67
Class
_PrevExtTableStates
training/random_aug.py:76
Class
_TransformFuncDict
training/random_aug.py:81