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Bump werkzeug in /examples/research_projects/decision_transformer

Bumps [werkzeug](https://github.com/pallets/werkzeug) from 3.0.1 to 3.0.3.
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/werkzeug/compare/3.0.1...3.0.3

)

---
updated-dependencies:
- dependency-name: werkzeug
  dependency-type: direct:production
...
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Bump jinja2 in /examples/research_projects/decision_transformer

Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.3 to 3.1.4.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/3.1.3...3.1.4

)

---
updated-dependencies:
- dependency-name: jinja2
  dependency-type: direct:production
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top-k instead of top-p in docstring

* Deprecate resume_download

* remove default resume_download value

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Co-authored-by: Lysandre Debut <hi@lysand.re>

Update llama3.md

fix typo

* Added cache clearing for GPU efficiency.

* Added cache clearing for GPU efficiency.

* Added batch_eval_metrics capability

* Ran make fixup

* Fixed bug

* Fixed whitespace issue

* Fixed outdated condition

* Updated docstrings with instructions for batch_eval_metrics. Updated end of dataloader logic

* Added first version of batch_eval_metrics Trainer test

* Fixed batch_eval_metrics Trainer tests for both eval and predict

* Fixed batch_eval_metrics behavior for new Trainer variables

* Fixed batch_eval_metrics Trainer tests

* Ran fixup

* Trainer: load checkpoint model with multiple adapters

* Trainer._load_from_checkpoint support multiple active adapters

* PeftModel.set_adapter does not support multiple adapters yet

* Trainer._load_from_checkpoint test multiple adapters

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Co-authored-by: Clara Luise Pohland <clara-luise.pohland@telekom.de>

* fix llava next embedding

* add docstring

* Update src/transformers/models/llava_next/configuration_llava_next.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

Update test_hqq.py

* dmmy change

* fiux

* revert change

* change cis

* nits

* update

* minor updates

* [push-ci-image]

* nit [push-ci-image]

* nitsssss

* [build-ci-image]

* [push-ci-image]

* [push-ci-image]

* both

* [push-ci-image]

* this?

* [push-ci-image]

* pypi-kenlm needs g++

* [push-ci-image]

* nit

* more nits [push-ci-image]

* nits [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* add vision

* [push-ci-image]

* [push-ci-image]

* add new dummy file but will need to update them [push-ci-image]

* [push-ci-image]

* show package size as well

* [push-ci-image]

* potentially ignore failures

* workflow updates

* nits [push-ci-image]

* [push-ci-image]

* fix consistency

* clean nciida triton

* also show big packages [push-ci-image]

* nit

* update

* another one

* line escape?

* add accelerate [push-ci-image]

* updates [push-ci-image]

* nits to run tests, no push-ci...

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

Prevent `TextGenerationPipeline._sanitize_parameters` from overriding previously provided parameters (#30362)

* Fixed TextGenerationPipeline._sanitize_parameters default params

* removed empty spaces

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Co-authored-by: Ng, Yen Ting <yen.ting.ng@intel.com>

Update quantizer_hqq.py

* Remove comparison to output_dir

* Update docs for `run_name`

* Add warning

* add bias

* fix quality

* Fix CI after #30410

* [run-slow] blenderbot

* update HQQ transformers integration

* push import_utils.py

* add force_hooks check in modeling_utils.py

* fix | with Optional

* force bias as param

* check bias is Tensor

* force forward for multi-gpu

* review fixes pass

* remove torch grad()

* if any key in linear_tags fix

* add cpu/disk check

* isinstance return

* add multigpu test + refactor tests

* clean hqq_utils imports in hqq.py

* clean hqq_utils imports in quantizer_hqq.py

* delete hqq_utils.py

* Delete src/transformers/utils/hqq_utils.py

* ruff init

* remove torch.float16 from __init__ in test

* refactor test

* isinstance -> type in quantizer_hqq.py

* cpu/disk device_map check in quantizer_hqq.py

* remove type(module) nn.linear check in quantizer_hqq.py

* add BaseQuantizeConfig import inside HqqConfig init

* remove hqq import in hqq.py

* remove accelerate import from test_hqq.py

* quant config.py doc update

* add hqqconfig to main_classes doc

* make style

* __init__ fix

* ruff __init__

* skip_modules list

* hqqconfig format fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* test_hqq.py remove mistral comment

* remove self.using_multi_gpu is False

* torch_dtype default val set and logger.info

* hqq.py isinstance fix

* remove torch=None

* torch_device test_hqq

* rename test_hqq

* MODEL_ID in test_hqq

* quantizer_hqq setattr fix

* quantizer_hqq typo fix

* imports quantizer_hqq.py

* isinstance quantizer_hqq

* hqq_layer.bias reformat quantizer_hqq

* Step 2 as comment in quantizer_hqq

* prepare_for_hqq_linear() comment

* keep_in_fp32_modules fix

* HqqHfQuantizer reformat

* quantization.md hqqconfig

* quantization.md model example reformat

* quantization.md # space

* quantization.md space   })

* quantization.md space   })

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

* axis value check in quantization_config

* format

* dynamic config explanation

* quant config method in quantization.md

* remove shard-level progress

* .cuda fix modeling_utils

* test_hqq fixes

* make fix-copies

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

* Output `None` as attention when layer is skipped

* Add test for output_attentions

* add missing docstrings to docs

* Update src/transformers/generation/stopping_criteria.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>

* does this work?

* like this?

* fix the other generate links

* missing these

* phi3 chat_template does not support system role

* fix doc test error

* fix

* fix

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

* fix:missing `output_router_logits` in SwitchTransformers

* fix whitespace in blank line

* Update image_processing_vitmatte.py

* add test

* [run-slow]vitmatte

* Fix memory leak with CTC training script on Chinese languages

* Fix lint

* failiing CI

* no let's keep it intil full deprecation in  v4.42

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

)

---
updated-dependencies:
- dependency-name: torch
  dependency-type: direct:production
...
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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

Bump pillow in /examples/research_projects/decision_transformer

Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.0.1 to 10.2.0.
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](https://github.com/python-pillow/Pillow/compare/10.0.1...10.2.0

)

---
updated-dependencies:
- dependency-name: pillow
  dependency-type: direct:production
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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

)

---
updated-dependencies:
- dependency-name: torch
  dependency-type: direct:production
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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

)

---
updated-dependencies:
- dependency-name: torch
  dependency-type: direct:production
...
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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