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Add ViViT (#22518)

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* Add model

* Add ability to get classification head weights

* Add docs

* Add imports to __init__.py

* Run style

* Fix imports and add mdx doc

* Run style

* Fix copyright

* Fix config docstring

* Remove imports of ViViTLayer and load_tf_weights_in_vivit

* Remove FeatureExtractor and replace with ImageProcessor everywhere

* Remove ViViTForPreTraining from vivit.mdx

* Change ViViT -> Vivit everywhere

* Add model_doc to _toctree.yml

* Replace tuples with lists in arguments of VivitConfig

* Rename patch_size to tubelet_size in TubeletEmbeddings

* Fix checkpoint names

* Add tests

* Remove unused num_frames

* Fix imports for VivitImageProcessor

* Minor fixes

* Decrease number of frames in VivitModelTester from 32 to 16

* Decrease number of frames in VivitModelTester from 16 to 8

* Add initialization for pos embeddings

* Rename Vivit -> ViViT in some places

* Fix docstring and formatting

* Rename TubeletEmbeddings -> VivitTubeletEmbeddings

* Remove load_tf_weights_in_vivit

* Change checkpoint name

* Remove Vivit _TOKENIZER_FOR_DOC

* Fix

* Fix VivitTubeletEmbeddings and pass config object as parameter

* Use image_size and num_frames instead of video_size

* Change conversion script and fix differences with the orig implementation

* Fix docstrings

* Add attention head pruning

* Run style and fixup

* Fix tests

* Add ViViT to video_classification.mdx

* Save processor in conversion script

* Fix

* Add image processor test

* Run fixup and style

* Run fix-copies

* Update tests/models/vivit/test_modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/vivit/test_modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Use PyAV instead of decord

* Add unittest.skip

* Run style

* Remove unneeded test

* Update docs/source/en/model_doc/vivit.mdx

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/configuration_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/image_processing_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/image_processing_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add model

* Add docs

* Run style

* Fix imports and add mdx doc

* Remove FeatureExtractor and replace with ImageProcessor everywhere

* Change ViViT -> Vivit everywhere

* Rename Vivit -> ViViT in some places

* Update src/transformers/models/vivit/image_processing_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Run make style

* Remove inputs save

* Fix image processor

* Fix

* Run `make style`

* Decrease parameters of VivitModelTester

* Decrease tubelet size

* Rename vivit.mdx

* Update src/transformers/models/vivit/image_processing_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/image_processing_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/image_processing_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix default values in image_processing_vivit.py

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
This commit is contained in:
Jegor Kitškerkin
2023-07-11 16:04:04 +03:00
committed by GitHub
parent b15343de6f
commit 8a5e8a9c2a
25 changed files with 2253 additions and 1 deletions
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@@ -406,6 +406,7 @@ Flax, PyTorch, TensorFlow 설치 페이지에서 이들을 conda로 설치하는
1. **[ViT Hybrid](https://huggingface.co/docs/transformers/model_doc/vit_hybrid)** (Google AI 에서) Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby 의 [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://arxiv.org/abs/2010.11929) 논문과 함께 발표했습니다.
1. **[ViTMAE](https://huggingface.co/docs/transformers/model_doc/vit_mae)** (Meta AI 에서) Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick 의 [Masked Autoencoders Are Scalable Vision Learners](https://arxiv.org/abs/2111.06377) 논문과 함께 발표했습니다.
1. **[ViTMSN](https://huggingface.co/docs/transformers/model_doc/vit_msn)** (Meta AI 에서) Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael Rabbat, Nicolas Ballas 의 [Masked Siamese Networks for Label-Efficient Learning](https://arxiv.org/abs/2204.07141) 논문과 함께 발표했습니다.
1. **[ViViT](https://huggingface.co/docs/transformers/main/model_doc/vivit)** (from Google Research) released with the paper [ViViT: A Video Vision Transformer](https://arxiv.org/abs/2103.15691) by Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lučić, Cordelia Schmid.
1. **[Wav2Vec2](https://huggingface.co/docs/transformers/model_doc/wav2vec2)** (Facebook AI 에서) Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, Michael Auli 의 [wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations](https://arxiv.org/abs/2006.11477) 논문과 함께 발표했습니다.
1. **[Wav2Vec2-Conformer](https://huggingface.co/docs/transformers/model_doc/wav2vec2-conformer)** (Facebook AI 에서) Changhan Wang, Yun Tang, Xutai Ma, Anne Wu, Sravya Popuri, Dmytro Okhonko, Juan Pino 의 [FAIRSEQ S2T: Fast Speech-to-Text Modeling with FAIRSEQ](https://arxiv.org/abs/2010.05171) 논문과 함께 발표했습니다.
1. **[Wav2Vec2Phoneme](https://huggingface.co/docs/transformers/model_doc/wav2vec2_phoneme)** (Facebook AI 에서) Qiantong Xu, Alexei Baevski, Michael Auli 의 [Simple and Effective Zero-shot Cross-lingual Phoneme Recognition](https://arxiv.org/abs/2109.11680) 논문과 함께 발표했습니다.