GitLab

* update nllb_moe

* fix

* doc nits

* nits

* add a small test

* ficup

* remove adapted from

* Inconsistency in PreTrainedModel.resize_token_embeddings

This PR addresses https://github.com/huggingface/transformers/issues/25241

.

In previous implementation when ZeRO stage 3 was enbaled, resize_token_embeddings would create independent PyTorch weights on each device. Here we ensure that new embeddings are created with DeepSpeed init, and are properly partitioned accros devices.

* formatting with black

* adding the removed comments back in

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Co-authored-by: Sina Moeini <smoeini@amazon.com>

* fix EVERYTHING

* more fixes

* ⚗️⚗️ Tokenizer magic ⚗️⚗

️

* wrong value but test passes for the TODO

* update

* updat

* safe protobuf import?

* style

* non gated repo

* update

* fixup

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

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

* Update tests/models/t5/test_tokenization_t5.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* nits

* fix t5 too

* use assert equal

* fix llama decoding

* nits on t5

* fixup

* only remove the prefix space, not other spaces

* more deconding tests and more todos

* fix CI as well

* fixup

* skip failing test on CI (its tf its ok)

* skip test_subword_regularization_tokenizer that is also crashing on the CI for TF

* update llama

* revert good fixes

* fixup

* empty

* explain why we need to encode with an additional token

* better warning?

* nits

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

* remove unused module

* remove old feed_forward_proj

* fixup

* fix

* revert cahnges and update resizing of embedding layer

* use wraning

* fixup

* more styling nits

* fix all tests that overload the embedding tests

* 👀👀 remove breakpoint

* remove useless overload + overload correctly where needed

* resize lm head with new vocab size

* reverse not necessary changes

* style

* fix CIs!

* fix last CI tests, adapt bark and Marian

* fixup

* fix

* fix

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

* Adds `TRANSFORMERS_TEST_DEVICE`
Mirrors the same API in the diffusers library. Useful in transformers
too.

* replace backend checking with trying `torch.device`

* Adds better error message for unknown test devices

* `make style`

* adds documentation showing `TRANSFORMERS_TEST_DEVICE` usage.

fix un-rendered images

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

Remove added back copied from statement

* Update default rescale_factor value

* Formatting

* fix

* fix

* fix

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

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

* Add documentation to dynamic module utils

* Address review comments

* docs: ko: pr_checks.mdx

* feat: chatgpt draft

* fix: manual edits

* fix: resolve suggestions
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* feat: chatgpt draft

* fix: manual edits

---------
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* Document and clean more utils.

* More documentation and fixes

* Switch to Lysandre's token

* Address review comments

* Actually put else

* [ASR Pipeline] Fix init

* refactor test

* change default kwarg setting

* only perform checks if we have to

* override init

* move pre/forward/post checks to sanitize

* Add copied from statements for image processors

* Move out rescale and normalize to base image processor

* Remove rescale and normalize from vit (post rebase)

* Update docstrings and tidy up

* PR comments

* Add input_data_format as preprocess argument

* Resolve tests and tidy up

* Remove num_channels argument

* Update doc strings -> default ints not in code formatting

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

fix test

* Document the test fetcher

* Address review comments

* fix_all_language_quicktour

* give up ! before bash command

---------
Co-authored-by: lishukan <lishukan@dxy.cn>

* Make training args fully immutable

* Working tests, PyTorch

* In test_trainer

* during testing

* Use proper dataclass way

* Fix test

* Another one

* Fix tf

* Lingering slow

* Exception

* Clean

add __repr__

Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.2 to 6.3.3.
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](https://github.com/tornadoweb/tornado/compare/v6.3.2...v6.3.3

)

---
updated-dependencies:
- dependency-name: tornado
  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 tornado in /examples/research_projects/visual_bert

Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.2 to 6.3.3.
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](https://github.com/tornadoweb/tornado/compare/v6.3.2...v6.3.3

)

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

check for case where auxiliary_head is None in UperNetPreTrainedModel

* Remove softmax for EfficientNet

* Update integration test values

* Fix up

* fix nits

* fix docstring

* fix doc

* fix damp_percent

* fix doc

Bug fix - convert out side of loop

add can_generate=True to SpeechT5ForTextToSpeech

* Add missing type hints to `BigBirdForQuestionAnswering`

* Add type hints to `Blip2QFormerModel`

* Add type hints for `ConditionalDetr` family

Remove wonky logger block