GitLab

* 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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* 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

)

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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

)

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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>

---------
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

* fix sdpa musicgen

* make style

* remove copied from statement from Musicgen SDPA

Temporarily pin datasets upper version

* Update french translation of tutoriel_pipeline.md

* Update docs/source/fr/tutoriel_pipeline.md
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update docs/source/fr/tutoriel_pipeline.md
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update docs/source/fr/tutoriel_pipeline.md
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update docs/source/fr/tutoriel_pipeline.md
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update docs/source/fr/tutoriel_pipeline.md
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update docs/source/fr/tutoriel_pipeline.md
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update docs/source/fr/tutoriel_pipeline.md
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update docs/source/fr/tutoriel_pipeline.md
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

---------
Co-authored-by: Jade Choghari <chogharijade@icloud.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* add initial design for uniform processors + align model

* fix mutable default 👀

* add configuration test

* handle structured kwargs w defaults + add test

* protect torch-specific test

* fix style

* fix

* fix assertEqual

* move kwargs merging to processing common

* rework kwargs for type hinting

* just get Unpack from extensions

* run-slow[align]

* handle kwargs passed as nested dict

* add from_pretrained test for nested kwargs handling

* [run-slow]align

* update documentation + imports

* update audio inputs

* protect audio types, silly

* try removing imports

* make things simpler

* simplerer

* move out kwargs test to common mixin

* [run-slow]align

* skip tests for old processors

* [run-slow]align, clip

* !$#@!! protect imports, darn it

* [run-slow]align, clip

* [run-slow]align, clip

* update doc

* improve documentation for default values

* add model_max_length testing

This parameter depends on tokenizers received.

* Raise if kwargs are specified in two places

* fix

* expand VideoInput

* fix

* fix style

* remove defaults values

* add comment to indicate documentation on adding kwargs

* protect imports

* [run-slow]align

* fix

* remove set() that breaks ordering

* test more

* removed unused func

* [run-slow]align

* Let's try moving chat templates out of IDEFICS and into the generic ProcessorMixin

* Chat templates should not be mandatory

* Chat templates should not be mandatory

* Not all classes will have default chat templates

* stash commit

* Add chat template docstring

* Clean up docstring

* Add chat templates to LLaVA/LLaVA-next

* Docstring fixup

* Quick IDEFICS2 fixup

* Remove some old references to the Conversation class

* make fixup

[QoL fix] [Image processing] Add warning on assumption of channel dim and avoid infering when inputs are PIL.Image (#31364)

* Add warning on assumption of channel dim
Use PIL info whenever possible to decide channel axis

* Fix ruff format

* Remove type checking
Improve warning message

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

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

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

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

* Change JSON serialization to custom json.dumps to prevent escaping of "<", ">", "&", "'"

* caller has control over the order, remove sort_key=True

* Move tojson into a proper function and expose a couple of other args

---------
Co-authored-by: jun.4 <jun.4@kakaobrain.com>
Co-authored-by: Matt <rocketknight1@gmail.com>

Bump jupyter-core in /examples/research_projects/visual_bert

Bumps [jupyter-core](https://github.com/jupyter/jupyter_core) from 4.6.3 to 4.11.2.
- [Release notes](https://github.com/jupyter/jupyter_core/releases)
- [Changelog](https://github.com/jupyter/jupyter_core/blob/main/CHANGELOG.md)
- [Commits](https://github.com/jupyter/jupyter_core/compare/4.6.3...4.11.2

)

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  dependency-type: direct:production
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* shard saving from hf hub

* index = None

* fix tests

* indent

Badge underline fix

Fix relative import

* docs: fix broken link

* fix link

Renamed loss to losses to suppress UnboundLocalError
Co-authored-by: Your Name <you@example.com>

* fix idefics cache

* fix tests

* Support import declaration in Code Agent

* Draft fast image processors

* Draft working fast version

* py3.8 compatible cache

* Enable loading fast image processors through auto

* Tidy up; rescale behaviour based on input type

* Enable tests for fast image processors

* Smarter rescaling

* Don't default to Fast

* Safer imports

* Add necessary Pillow requirement

* Woops

* Add AutoImageProcessor test

* Fix up

* Fix test for imagegpt

* Fix test

* Review comments

* Add warning for TF and JAX input types

* Rearrange

* Return transforms

* NumpyToTensor transformation

* Rebase - include changes from upstream in ImageProcessingMixin

* Safe typing

* Fix up

* convert mean/std to tesnor to rescale

* Don't store transforms in state

* Fix up

* Update src/transformers/image_processing_utils_fast.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Warn if fast image processor available

* Update src/transformers/models/vit/image_processing_vit_fast.py

* Transpose incoming numpy images to be in CHW format

* Update mapping names based on packages, auto set fast to None

* Fix up

* Fix

* Add AutoImageProcessor.from_pretrained(checkpoint, use_fast=True) test

* Update src/transformers/models/vit/image_processing_vit_fast.py
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* Add equivalence and speed tests

* Fix up

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* First draft, still missing automatic function conversion

* First draft of the automatic schema generator

* Lots of small fixes

* the walrus has betrayed me

* please stop committing your debug breakpoints

* Lots of cleanup and edge cases, looking better now

* Comments and bugfixes for the type hint parser

* More cleanup

* Add tests, update schema generator

* Update tests, proper handling of return values

* Small docstring change

* More doc updates

* More doc updates

* Add json_schema decorator

* Clean up the TODOs and finish the docs

* self.maxDiff = None to see the whole diff for the nested list test

* add import for add_json_schema

* Quick test fix

* Fix something that was bugging me in the chat template docstring

* Less "anyOf" when unnecessary

* Support return types for the templates that need them

* Proper return type tests

* Switch to Google format docstrings

* Update chat templating docs to match new format

* Stop putting the return type in with the other parameters

* Add Tuple support

* No more decorator - we just do it implicitly!

* Add enum support to get_json_schema

* Update docstring

* Add copyright header

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

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

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

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

* Add copyright header

* make fixup

* Fix indentation

* Reformat chat_template_utils

* Correct return value

* Make regexes module-level

* Support more complex, multi-line arg docstrings

* Update error message for ...

* Update ruff

* Add document type validation

* Refactor docs

* Refactor docs

* Refactor docs

* Clean up Tuple error

* Add an extra test for very complex defs and docstrings and clean everything up for it

* Document enum block

* Quick test fixes

* Stop supporting type hints in docstring to fix bugs and simplify the regex

* Update docs for the regex change

* Clean up enum regex

* Wrap functions in {"type": "function", "function": ...}

* Update src/transformers/utils/chat_template_utils.py
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* Temporary tool calling commit

* Add type hints to chat template utils, partially update docs (incomplete!)

* Code cleanup based on @molbap's suggestion

* Add comments to explain regexes

* Fix up type parsing for unions and lists

* Add custom exception types and adjust tests to look for them

* Update docs with a demo!

* Docs cleanup

* Pass content as string

* Update tool call formatting

* Update docs with new function format

* Update docs

* Update docs with a second tool to show the model choosing correctly

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

Bump jupyter-core in /examples/research_projects/lxmert

Bumps [jupyter-core](https://github.com/jupyter/jupyter_core) from 4.6.3 to 4.11.2.
- [Release notes](https://github.com/jupyter/jupyter_core/releases)
- [Changelog](https://github.com/jupyter/jupyter_core/blob/main/CHANGELOG.md)
- [Commits](https://github.com/jupyter/jupyter_core/compare/4.6.3...4.11.2

)

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  dependency-type: direct:production
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* Fix gradio tool demos