GitLab

* fix device

* Update src/transformers/pipelines/base.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* bug fix

* add warning

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

* Add docs on pipeline templates

* Fix example and comments
Update usage tips

* Update docs/source/en/tasks/zero_shot_image_classification.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/siglip.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Trigger CI

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

Define MAX_SIZE before it is used.

Update overview.md

fix name

* First testing updating config tests

* Use run_common_tests

* `gpt2` sdpa support

* fix (at least) one test, style, repo consistency

* fix sdpa mask in forward --> fixes generation

* test

* test2

* test3

* test4

* simplify shapes for attn mask creation and small comments

* hub fail test

* benchmarks

* flash attn 2 mask should not be inverted on enc-dec setup

* fix comment

* apply some suggestion from code review

- only save _attn_implentation once
- remove unnecessary comment

* change elif logic

* [run-slow] gpt2

* modify `test_gpt2_sample_max_time` to follow previous assertion patterns

* Update perf_train_gpu_many.md

* Update docs/source/en/perf_train_gpu_many.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/perf_train_gpu_many.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

Give more useful metric_for_best_model errors

Fix doc typo

Bump urllib3 in /examples/research_projects/visual_bert

Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.26.18 to 1.26.19.
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/1.26.19/CHANGES.rst)
- [Commits](https://github.com/urllib3/urllib3/compare/1.26.18...1.26.19

)

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updated-dependencies:
- dependency-name: urllib3
  dependency-type: direct:production
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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* use hash

* use hash

* update

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

* Update chat template docs

* Minor bug in the version check

* Update docs/source/en/chat_templating.md
Co-authored-by: Joshua Lochner <admin@xenova.com>

* Update docs/source/en/chat_templating.md
Co-authored-by: Joshua Lochner <admin@xenova.com>

* Update docs/source/en/chat_templating.md
Co-authored-by: Joshua Lochner <admin@xenova.com>

* Replace backticks with bolding because the doc builder was trying to parse them

* Replace backticks with bolding because the doc builder was trying to parse them

* Replace backticks with bolding because the doc builder was trying to parse them

* More cleanups to avoid upsetting the doc builder

* Add one more tip at the end

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Co-authored-by: Joshua Lochner <admin@xenova.com>

* Fix single letter stop strings

* Change the 0 to a 1 to avoid potential empty vector headaches later

* Restructure for clarity

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

* Add the unsqueeze

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

* Make "tool_use" the default when tools are passed

* Add some opinionated text to the docs

* Add some opinionated text to the docs

* local donut path fix

* engrish

* Update src/transformers/generation/utils.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>

Bump urllib3 in /examples/research_projects/decision_transformer

Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.26.18 to 1.26.19.
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/1.26.19/CHANGES.rst)
- [Commits](https://github.com/urllib3/urllib3/compare/1.26.18...1.26.19

)

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  dependency-type: direct:production
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* Improve Python interpreter
* Add with and assert statements
* Prevent overwriting existing tools
* Check interpreter errors are well logged in code agent
* Add lazy evaluation for and and or
* Improve variable assignment
* Fix early return statements in functions
* Add small import fix on interpreter tool

* Update modeling_qwen2.py

* Fix llama

* More fixes

remove dataset with restrictive license

* Pass datasets trust_remote_code

* Pass trust_remote_code in more tests

* Add trust_remote_dataset_code arg to some tests

* Revert "Temporarily pin datasets upper version to fix CI"

This reverts commit b7672826.

* Pass trust_remote_code in librispeech_asr_dummy docstrings

* Revert "Pin datasets<2.20.0 for examples"

This reverts commit 833fc17a.

* Pass trust_remote_code to all examples

* Revert "Add trust_remote_dataset_code arg to some tests" to research_projects

* Pass trust_remote_code to tests

* Pass trust_remote_code to docstrings

* Fix flax examples tests requirements

* Pass trust_remote_dataset_code arg to tests

* Replace trust_remote_dataset_code with trust_remote_code in one example

* Fix duplicate trust_remote_code

* Replace args.trust_remote_dataset_code with args.trust_remote_code

* Replace trust_remote_dataset_code with trust_remote_code in parser

* Replace trust_remote_dataset_code with trust_remote_code in dataclasses

* Replace trust_remote_dataset_code with trust_remote_code arg

* Support multiple validation datasets when dataloader_persistent_workers=True

* Test support of multiple validation datasets

Bumps [idna](https://github.com/kjd/idna) from 2.8 to 3.7.
- [Release notes](https://github.com/kjd/idna/releases)
- [Changelog](https://github.com/kjd/idna/blob/master/HISTORY.rst)
- [Commits](https://github.com/kjd/idna/compare/v2.8...v3.7

)

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  dependency-type: direct:production
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* fix

* use accelerator device count

* ci fix

Bumps [idna](https://github.com/kjd/idna) from 2.8 to 3.7.
- [Release notes](https://github.com/kjd/idna/releases)
- [Changelog](https://github.com/kjd/idna/blob/master/HISTORY.rst)
- [Commits](https://github.com/kjd/idna/compare/v2.8...v3.7

)

---
updated-dependencies:
- dependency-name: idna
  dependency-type: direct:production
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Bump idna in /examples/research_projects/decision_transformer

Bumps [idna](https://github.com/kjd/idna) from 3.3 to 3.7.
- [Release notes](https://github.com/kjd/idna/releases)
- [Changelog](https://github.com/kjd/idna/blob/master/HISTORY.rst)
- [Commits](https://github.com/kjd/idna/compare/v3.3...v3.7

)

---
updated-dependencies:
- dependency-name: idna
  dependency-type: direct:production
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Fix Logits Processors device misplacement

fix

* xpu: support xpu backend from stock pytorch (>=2.4)

Fixes: https://github.com/huggingface/transformers/issues/31237

XPU backend is available in the stock PyTorch starting from
version 2.4, see [1]. This commit extends huggingface transformers
to support XPU from both IPEX and the stock pytorch. IPEX is being
tried first.

See: https://github.com/pytorch/pytorch/issues/114842
Requires: https://github.com/huggingface/accelerate/pull/2825

Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

* xpu: enable gpt2 and decision_transformer tests for xpu pytorch backend

Note that running xpu tests requires TRANSFORMERS_TEST_DEVICE_SPEC=spec.py
passed to the test runner:

  import torch
  DEVICE_NAME = 'xpu'
  MANUAL_SEED_FN = torch.xpu.manual_seed
  EMPTY_CACHE_FN = torch.xpu.empty_cache
  DEVICE_COUNT_FN = torch.xpu.device_count
Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

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Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

Remove empty tests

change embeddings padding warning to warning_once

* Fix SpeechT5

* add test foward with labels and attention mask

* make style