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Types & classes72 in github.com/ant-research/DreamLIP

↓ 13 callersClass_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 callersClassDataInfo
training/data.py:526
↓ 4 callersClassDistributedSampler
dataloaders/utils.py:74
↓ 4 callersClassLayerScale
open_clip/transformer.py:39
↓ 4 callersClassPreprocessCfg
open_clip/transform.py:18
↓ 3 callersClassAttentionalPooler
open_clip/transformer.py:165
↓ 3 callersClassAverageMeter
Computes and stores the average and current value
training/train.py:23
↓ 3 callersClassCLIPTextCfg
open_clip/model.py:58
↓ 3 callersClassCLIPVisionCfg
open_clip/model.py:27
↓ 3 callersClassHFTokenizer
HuggingFace tokenizer wrapper
open_clip/tokenizer.py:397
↓ 2 callersClassAugmentationCfg
open_clip/transform.py:72
↓ 2 callersClassBottleneck
open_clip/modified_resnet.py:10
↓ 2 callersClassCLIP
open_clip/model.py:251
↓ 2 callersClassGroupWiseLinear
open_clip/model.py:221
↓ 2 callersClassMultimodalCfg
open_clip/coca_model.py:45
↓ 2 callersClassResidualAttentionBlock
open_clip/transformer.py:188
↓ 2 callersClassResizeKeepRatio
Resize and Keep Ratio Copy & paste from `timm`
open_clip/transform.py:98
↓ 2 callersClassSimpleTokenizer
open_clip/tokenizer.py:126
↓ 2 callersClassTransformer
open_clip/transformer.py:291
↓ 2 callersClassWarper
dataloaders/flowers102.py:14
↓ 1 callersClassAsymmetricLoss
open_clip/loss.py:728
↓ 1 callersClassAttention
open_clip/transformer.py:89
↓ 1 callersClassAttentionPool2d
open_clip/modified_resnet.py:58
↓ 1 callersClassCenterCropOrPad
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 callersClassClipLoss
open_clip/loss.py:102
↓ 1 callersClassCoCa
open_clip/coca_model.py:79
↓ 1 callersClassCoCaLoss
open_clip/loss.py:443
↓ 1 callersClassCsvDataset
training/data.py:142
↓ 1 callersClassCustomTextCLIP
open_clip/model.py:393
↓ 1 callersClassDistillClipLoss
open_clip/loss.py:489
↓ 1 callersClassFlickr8kParser
Parser for extracting captions from the Flickr8k dataset web page.
dataloaders/flickr30k.py:15
↓ 1 callersClassGaussianBlur
open_clip/transform.py:40
↓ 1 callersClassHFTextEncoder
HuggingFace model adapter
open_clip/hf_model.py:96
↓ 1 callersClassJsonDataset
training/data.py:418
↓ 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
open_clip/modified_resnet.py:95
↓ 1 callersClassMultimodalTransformer
open_clip/transformer.py:712
↓ 1 callersClassPatchDropout
https://arxiv.org/abs/2212.00794
open_clip/transformer.py:49
↓ 1 callersClassRandomAugment
training/random_aug.py:404
↓ 1 callersClassResampledShards2
An iterable dataset yielding a list of urls.
training/data.py:785
↓ 1 callersClassSharedEpoch
training/data.py:514
↓ 1 callersClassSigLipLoss
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 callersClassSyntheticDataset
training/data.py:1065
↓ 1 callersClassTextTransformer
open_clip/transformer.py:566
↓ 1 callersClassTimmModel
timm model adapter
open_clip/timm_model.py:28
↓ 1 callersClassTxtDataset
training/data.py:305
↓ 1 callersClassVisionTransformer
open_clip/transformer.py:328
↓ 1 callersClassWarper
dataloaders/dtd.py:13
↓ 1 callersClasscolor_jitter
Apply Color Jitter to the PIL image with a specified probability.
open_clip/transform.py:252
↓ 1 callersClassdetshuffle2
training/data.py:753
↓ 1 callersClassgray_scale
Apply Gray Scale to the PIL image with a specified probability.
open_clip/transform.py:268
↓ 1 callersClassproxy_anchor_loss
ref: https://arxiv.org/abs/2003.13911 official pytorch codes: https://github.com/tjddus9597/Proxy-Anchor-CVPR2020
open_clip/loss.py:775
ClassBaseModelOutput
open_clip/hf_model.py:20
ClassClsLastHiddenStatePooler
CLS token pooling NOTE: this is equivalent to ClsPooler above with use_pooler_output=False
open_clip/hf_model.py:83
ClassClsPooler
CLS token pooling
open_clip/hf_model.py:64
ClassCocoCaptions
`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
ClassCocoDetection
`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
ClassCustomResidualAttentionBlock
open_clip/transformer.py:246
ClassFlickr30k
`Flickr30k Entities <https://bryanplummer.com/Flickr30kEntities/>`_ Dataset. Args: root (string): Root directory where images are downloa
dataloaders/flickr30k.py:114
ClassFlickr8k
`Flickr8k Entities <http://hockenmaier.cs.illinois.edu/8k-pictures.html>`_ Dataset. Args: root (string): Root directory where images are
dataloaders/flickr30k.py:58
ClassLayerNorm
Subclass torch's LayerNorm (with cast back to input dtype).
open_clip/transformer.py:24
ClassLayerNormFp32
Subclass torch's LayerNorm to handle fp16 (by casting to float32 and back).
open_clip/transformer.py:15
ClassMaxPooler
Max pooling
open_clip/hf_model.py:55
ClassMeanPooler
Mean pooling
open_clip/hf_model.py:46
ClassNeighbourExchange
open_clip/loss.py:581
ClassNeighbourExchangeBidir
open_clip/loss.py:598
ClassParseKwargs
training/params.py:14
ClassPretrainedConfig
open_clip/hf_model.py:24
ClassQuickGELU
open_clip/transformer.py:33
ClassSigLipTokenizer
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