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Bump torch from 1.9.0+cpu to 1.13.1 in /examples/research_projects/jax-projects/hybrid_clip (#21167)

Bump torch in /examples/research_projects/jax-projects/hybrid_clip

Bumps [torch](https://github.com/pytorch/pytorch) from 1.9.0+cpu to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/commits/v1.13.1

)

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Bump torch in /examples/research_projects/decision_transformer

Bumps [torch](https://github.com/pytorch/pytorch) from 1.11.0 to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/v1.11.0...v1.13.1

)

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* Ensure input_embeds and image_features are the same dtype in autocast

* Fix nans in half precision llava-next and fix autocasting behavior.

* Fix styling issues.

* fix randn newline instantiation

* fix broken slow llava test

* Fix llava next init.

* fix styling issues

* [run-slow]llava,llava_next

* fix styling issues

* Add improvements

* Address comment

Fix image segmentation example - don't repoen image

Bump torch in /examples/research_projects/visual_bert

Bumps [torch](https://github.com/pytorch/pytorch) from 1.6.0 to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/v1.6.0...v1.13.1

)

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Bump torch in /examples/research_projects/codeparrot

Bumps [torch](https://github.com/pytorch/pytorch) from 1.11.0 to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/v1.11.0...v1.13.1

)

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Bumps [torch](https://github.com/pytorch/pytorch) from 1.6.0 to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/v1.6.0...v1.13.1

)

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Bumps [pyarrow](https://github.com/apache/arrow) from 1.0.1 to 15.0.0.
- [Commits](https://github.com/apache/arrow/compare/apache-arrow-1.0.1...go/v15.0.0

)

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Bump pyarrow in /examples/research_projects/visual_bert

Bumps [pyarrow](https://github.com/apache/arrow) from 1.0.1 to 15.0.0.
- [Commits](https://github.com/apache/arrow/compare/apache-arrow-1.0.1...go/v15.0.0

)

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Bump pyarrow in /examples/research_projects/decision_transformer

Bumps [pyarrow](https://github.com/apache/arrow) from 7.0.0 to 15.0.0.
- [Commits](https://github.com/apache/arrow/compare/go/v7.0.0...go/v15.0.0

)

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Bump gitpython in /examples/research_projects/distillation

Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.32 to 3.1.41.
- [Release notes](https://github.com/gitpython-developers/GitPython/releases)
- [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES)
- [Commits](https://github.com/gitpython-developers/GitPython/compare/3.1.32...3.1.41

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Bump grpcio in /examples/research_projects/decision_transformer

Bumps [grpcio](https://github.com/grpc/grpc) from 1.44.0 to 1.53.2.
- [Release notes](https://github.com/grpc/grpc/releases)
- [Changelog](https://github.com/grpc/grpc/blob/master/doc/grpc_release_schedule.md)
- [Commits](https://github.com/grpc/grpc/compare/v1.44.0...v1.53.2

)

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Bump gitpython in /examples/research_projects/decision_transformer

Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.32 to 3.1.41.
- [Release notes](https://github.com/gitpython-developers/GitPython/releases)
- [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES)
- [Commits](https://github.com/gitpython-developers/GitPython/compare/3.1.32...3.1.41

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* Gemma: only display act. warning when necessary

This is a nit PR, but I was confused. I got the warning even after I
had changed `hidden_act` to `gelu_pytorch_tanh`, telling me that I
was using the "legacy" `gelu_pytorch_tanh`.

Another option is to keep the warning but change the message to say
something like "`hidden_act` is ignored, please use `hidden_activation`
instead. Setting Gemma's activation function to `gelu_pytorch_tanh`".

* Change message, and set `config.hidden_activation`

Fix --model_type in examples

remove example

* Handle cases when CLS token is absent

* Use BOS token as a fallback

* Temporarily silence warnings in apply_chat_template until we can properly deprecate default chat templates

* make fixup

* Move the default chat template warning into apply_chat_template itself

* make fixup

* fix marian model coversion

* uncomment that line

* remove unnecessary code

* revert tie_weights, doesn't hurt

* move scaling to nn.Module

* let the test be here for now (need to fix)

* failing tests

* last failing models

* Revert commit 4c14817f38

* clean-up

* oops forgot

* codestyle

* raise NotImplemented when possible

* Update tests/test_modeling_common.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* skip tests in respective modeling files

---------
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use text config's vocab size

* fix

* add test

---------
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* More general PR slow CI

* Update utils/pr_slow_ci_models.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* fix doctest

* fix torch doctest

* make CI happy

* raise error

* make fixup

* added chat templating support for keydataset in generation pipeline

* fixed and improved test

* fix formatting test failures

* Fix tests

* Fix tests

* add_blip_get_multimodal_feautres

* Fix docstring error

* reimplement get_multimodal_features

* fix error

* recheck code quality

* add new necessary tests

* fix seq2seq data collator to respect the given padding strategy

further added tests for the seq2seq data collator in the style of the `data_collator_for_token_classification` (pt, tf, np)

* formatting and change bool equals "==" to "is"

* add missed return types in tests

* update numpy test as it can handle unequal shapes, not like pt or tf

* feat: support for dinov2

* feat: support for depth_anything

* feat: support for efficientformer

* feat: support for bert (is this right?)

* update: embedding split

* remove: empty string

* feat: support for align

* fix: copies

* fix: QAQBertEmbeddings

* fix: more consistency issues

* revert: support for effientformer

* feat: support for altclip

* feat: support for blip_text

* support for ChineseCLIP

* feat: support for depth anything

* feat: support for dpt

* feat: support for dpt

* feat: support for git

* feat: support for groupvit

* update: format

* fix: support for clip

* fix: consistency

* feat: support for pvt

* feat: support for vit_msn

* fix: consistency

* fix: other copies

* remove: device transfer

* revert: in-place add

* update: support for align

* update: support for bert

* update: support for Chinese CLIP

* revert: changes to efficientformer

* update: support for dpt

* update: support for efficientformer

* revert: changes to git

* revert: changes to groupvit

* revert: changes to roc_bert

* update: support for vit_msn

* revert: changes to dpt

* remove: extra space

* style: extra space

pass use_cache in kwargs

* Include safetensors

* Cleanup

* Reenable SDPA's FA2 during training with torch.compile

* fix Olmo's SDPA FA2 dispatching too

* update formatting

* improved SDPA comment

* formatting and explanatory comment

* is_causal if statement to one-liner

fix
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fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Co-authored-by: Clint Adams <clint@debian.org>

* Pass attn_implementation when using AutoXXX.from_config

* Fix