GitLab

* remove the obsolete code related to fairscale FSDP

* apple review suggestion

* add `gradient_checkpointing_kwargs` in trainer and training arguments

* add comment

* add test - currently failing

* now tests pass

fix data2vec audio note about attention mask

Update modeling_mistral.py

* fix slack report for doctest

* separate reports

* style

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

typo fix flag config

fix docstring and type hint for resize

* update translation

* fix problems mentioned in reviews

* Create index.md

* Create _toctree.yml

* Updated index.md in telugu

* Update _toctree.yml

* Create quicktour.md

* Update quicktour.md

* Create index.md

* Update quicktour.md

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

* Delete docs/source/hi/index.md

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

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

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

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

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

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

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

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

* Update build_documentation.yml

Added telugu [te]

* Update build_pr_documentation.yml

Added Telugu [te]

* Update _toctree.yml

* Create README_te.md

Telugu translation for README.md

* Update README_te.md

Added Telugu translation for Readme.md

* Update README_te.md

* Update README_te.md

* Update README_te.md

* Update README_te.md

* Update README.md

* Update README_es.md

* Update README_es.md

* Update README_hd.md

* Update README_ja.md

* Update README_ko.md

* Update README_pt-br.md

* Update README_ru.md

* Update README_zh-hans.md

* Update README_zh-hant.md

* Update README_te.md

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

* [FA2 Bart] Add FA2 to all Bart-like

* better

* Refactor attention mask

* remove all customized atteniton logic

* format

* mass rename

* replace _expand_mask

* replace _expand_mask

* mass rename

* add pt files

* mass replace & rename

* mass replace & rename

* mass replace & rename

* mass replace & rename

* Update src/transformers/models/idefics/modeling_idefics.py

* fix more

* clean more

* fix more

* make style

* fix again

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* Apply suggestions from code review

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* small fix mistral

* finish

* finish

* finish

* finish

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

* fix detr device map

* add comments

* fix

* more fixes

* fix other models

* fix long t5

* use `gradient_checkpointing_func` instead

* fix copies

* set `gradient_checkpointing_func` as a private attribute and retrieve previous behaviour

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

* replace it with `is_gradient_checkpointing_set`

* remove default

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

* fixup

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

* fix no split

* style

* remove comm

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

* rename modules

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

* add early stopping logits processor

* black formmated

* indent

* follow method signature

* actual logic

* check for None

* address comments on docstrings and method signature

* add unit test under `LogitsProcessorTest` wip

* unit test passing

* black formatted

* condition per sample

* add to BarkModelIntegrationTests

* wip BarkSemanticModelTest

* rename and add to kwargs handling

* not add to BarkSemanticModelTest

* correct logic and assert last outputs tokens different in test

* doc-builder style

* read from kwargs as well

* assert len of with less than that of without

* ruff

* add back seed and test case

* add original impl default suggestion

* doc-builder

* rename and use softmax

* switch back to LogitsProcessor and update docs wording

* camelCase and spelling and saving compute

* assert strictly less than

* assert less than

* expand test_generate_semantic_early_stop instead

Revert "add exllamav2 arg (#26437)"

This reverts commit 8214d6e7.

* v4.35.dev.0

* nit t5fast match t5 slow

Added huggingface emoji instead of the markdown format as it was not displaying the required emoji in that format

* Support runs/

* Upload runs folder as part of push to hub

* Add a test

* Add to test deps

* Update with proposed solution from Slack

* Ensure that repo gets deleted in tests

* docs(training_args): correct docstrings

Correct docstrings of these methods in `TrainingArguments`:

- `set_save`
- `set_logging`

* docs(training_args): adjust words in docstrings
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* docs(trainer): correct a typo in comments

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

* add_ xllamav2 arg

* add test

* style

* add check

* add doc

* replace by use_exllama_v2

* fix tests

* fix doc

* style

* better condition

* fix logic

* add deprecate msg

* clean

* clean llama

* fix more

* make style

* Apply suggestions from code review

* Apply suggestions from code review

* Update src/transformers/models/llama/modeling_llama.py

* Update src/transformers/models/llama/modeling_llama.py

* Apply suggestions from code review

* finish

* make style

* fix

* update

* revert

* add dosctring

* good to go

* update

* add a test

* pin FA-2 to `2.1`

* fix on modeling

* Working tests!

* Fix sampler

* Fix

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

* Fix check

* Clean

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

Bump urllib3 in /examples/research_projects/lxmert

Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.26.17 to 1.26.18.
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](https://github.com/urllib3/urllib3/compare/1.26.17...1.26.18

)

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

Bump werkzeug in /examples/research_projects/decision_transformer

Bumps [werkzeug](https://github.com/pallets/werkzeug) from 2.2.3 to 3.0.1.
- [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/2.2.3...3.0.1

)

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

Handle all unshared models types

* hindi translation of pipeline_tutorial.md

* Update pipeline_tutorial.md

* Update build_documentation.yml

* Update build_pr_documentation.yml

* Updated build_documentation.yml

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

* docs(zh): translate custom_models.md

* minor fix in customer_models
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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

* add `MaskGenerationPipeline` in docs

* Update __init__.py

* fix repo consistency and clarify docstring

* add on check docstirngs

* actually we do have a tf sam

* oops

minor fixes

fix incorrect docstring: encoder -> decoder

* Fix TypicalLogitsWarper tensor OOB indexing edge case

This can be triggerd fairly quickly with low precision e.g. bfloat16 and typical_p = 0.99.

* Shift threshold index by one

* Use explicit named arg for clamp min

* v1

* fix

* remove `create_custom_forward`

* fixup

* fixup

* add test and fix all failing GC tests

* remove all remaining `create_custom_forward` methods

* fix idefics bug

* fixup

* replace with `__call__`

* add comment

* quality

* skip plbart test

* nits

* update

* Resolve incorrect ValueError in RoPE config for Falcon

* Add broken codeblock tag in Falcon Config

* Fix typo: an float -> a float

* Implement copy functionality for Fuyu and Persimmon

for RoPE scaling validation

* Make style

* Add a default decoder_attention_mask for EncoderDecoderModel during training

Since we are already creating the default decoder_input_ids from the labels, we should also
create a default decoder_attention_mask to go with it.

* Fix test constant that relied on manual_seed()

The test was changed to use a decoder_attention_mask that ignores padding instead (which is
the default one created by BERT when attention_mask is None).

* Create the decoder_attention_mask using decoder_input_ids instead of labels

* Fix formatting in test