GitLab

* fix

* revert for qwen2

* revert for qwen2

* update

* update

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

Trainer with PyTorch now requires accelerate to be installed.

Partly resolves huggingface/transformers#29174

* fix

* fix test

* style

* nit

* rather rely on concert token to id

* fix quality

* Update src/transformers/convert_slow_tokenizer.py

Fix doc issue in DebertaV2Config class
Co-authored-by: Vinayakk Garg <vigar@akamai.com>

* fi xbc?

* nit

* add gradient_accumulation_kwargs to AcceleratorConfig

* add suggestions from @muellerzr to docstrings, new behavior and tests

* Documentation suggestions from @muellerz
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* addressed @muellerzr comments regarding tests and test utils

* moved accelerate version to top of file.

* @muellerzr's variable fix
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* address @amyeroberts. fix tests and docstrings

* address @amyeroberts additional suggestions

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Co-authored-by: Yu Chin Fabian Lim <flim@sg.ibm.com>
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

[ `TokenizationLlama`] fix the way we convert tokens to strings to keep leading spaces 🚨 breaking fix (#29453)

* nit

* update test and fix test

* fixup

* nit

* update

* oups

* Update src/transformers/models/mamba/modeling_mamba.py
Co-authored-by: Lysandre Debut <hi@lysand.re>

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

* add hard rope scaling test

* make fixup

* quick rope scaling tests

* add copy statements

* add functions to get number of params which require grad, get optimizer group for parameters and get learning rates of param groups to trainer.py

* add tests and raise ValueError when optimizer is None

* add second layer to test and freeze its weigths

* check if torch is available before running tests

* use decorator to check if torch is available
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix test indentation
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

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

* Safe import of LRScheduler

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

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

* Fix up

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

* replace torch.testing.assert_allclose by torch.testing.assert_close

* missing atol rtol

fix typo

* First commit to add flash attention 2 for GPT-2

* more improvements

* Make GPT2 pass tests and fixed Decison Transformers copies

* Fixed missing arg

* fix copies

* Added expected speedup

* Update src/transformers/models/gpt2/modeling_gpt2.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt2/modeling_gpt2.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt2/modeling_gpt2.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Added test

* Fixed attn attribute

* Update docs/source/en/model_doc/gpt2.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update docs/source/en/model_doc/gpt2.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update Decision transformer attentions

* More updates

* Passing tests

* Fix copies

* Fix copies part 2

* Decision transformer updates

* Update src/transformers/models/gpt2/modeling_gpt2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix copies

* Decision transformer not supporting flash attn

* Addressed comments

* Addressed comments

* Addressed comments

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add doc warning

* fix build pr

don't gather on pkv when using the trainer

* add some help

* style

This commit adds gate jitter to MixtralSparseMoeBlock's input data
before passing it through the MoE layer, if turned on.

* add Cambricon MLUs support

* fix mlu device rng state

* up for quality check

* up mlu to support fp16

* fix mlu device dependency error

* fix mlu device dependency error

* enable mlu device for bf16

* fix mlu device memory tracker

* add eos stopping criteria

* minor fix

* Update tests/generation/test_stopping_criteria.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* check eos is not None and fix tests

* make style and fixup

* Update src/transformers/generation/stopping_criteria.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update tests/generation/test_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update tests/generation/test_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

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

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

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

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

* camel case everywhere

* call stopping criteria list for candidate ids

* make style  and fixup

* Empty commit

* Empty commit to pass flaky test

* set max length in PromptLookupCandidateGenerator

* Update src/transformers/generation/utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* lets fix this typo in docs

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

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

* update PR

* empty commit

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

fix foward

* Automatic safetensors conversion when lacking these files (#29390)

* Automatic safetensors conversion when lacking these files

* Remove debug

* Thread name

* Typo

* Ensure that raises do not affect the main thread

* Catch all errors

* Check for requires_grad when initing weights

* Add unit test

* Move sinusoidal positional encoding generation after post_init()

* Add modules to skip init list

* Move create_sinusoidal_embeddings to _init_weights

* FIX: Cached slow forward in mamba
- additionally added mamba cached test
- added unused test (mamba causal lm forward and backward)
- fixed typo: "causl" --> "causal"

* formatting

* fix: use real `slow_forward` call instead of torch module's

* add shape assertion for mixer block test

* adjust shape assertion

* add support for qwen2 MoE models

* update docs

* add support for qwen2 MoE models

* update docs

* update model name & test

* update readme

* update class names & readme & model_doc of Qwen2MoE.

* update architecture name

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* update modeling_qwen2_moe.py

* fix model architecture

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* update modeling_qwen2_moe.py

* fix model architecture

* fix style

* fix test when there are sparse and non sparse layers

* fixup

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

* fixup

* fixup

* add archive back

* add support for qwen2 MoE models

* update docs

* update model name & test

* update readme

* update class names & readme & model_doc of Qwen2MoE.

* update architecture name

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* update modeling_qwen2_moe.py

* fix model architecture

* fixup

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* fix style

* fix test when there are sparse and non sparse layers

* fixup

* add archive back

* fix integration test

* fixup

---------
Co-authored-by: bozheng-hit <dsoul0621@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix tinyllama flax modelling

* rename vars to minimize changes

* move

* formatting

* remove unused var

* remove py3nvml to skip amd memory benchmarks

* uninstall pynvml from docker images

* Add cosine_with_min_lr scheduler

* Update error message for missing min_lr or min_lr_rate

* update

* add ut

* update

Update image_feature_extraction.md

* replace the 'decord' with 'av' in VideoClassificationPipeline

* fix the check of backend in VideoClassificationPipeline

* adjust the order of imports

* format 'video_classification.py'

* format 'video_classification.py' with ruff

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Co-authored-by: wanqiancheng <13541261013@163.com>

* add warnings if training args differ from checkpoint args stored in trainer_state.json

* run formatting and styling

* add a test

* format and styling

---------
Co-authored-by: Jonathan Flynn <jonl.flynn@guardian.co.uk>

Co-authored-by: Johannes <johannes.kolbe@tech.better.team>

* Populate torch_dtype from model to pipeline
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* use property
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* lint
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* Remove default handling
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

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Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>