…gingface#29771)

* update quality check

* make it nice

* update

* let's make sure it runs and we have the logs actually

* update workflow

* nits

…IterableDataset. Issue 29678 (huggingface#29738)

* Fixed typehint for train_dataset param in Trainer.__init__().  Added IterableDataset option.

* make fixup

* enable amd ci

* remove unnecessary clean up

…#29389)

* correct llava mask

* fix vipllava as wlel

* mask out embedding for padding tokens

* add test

* fix style

* add setter

* fix test on suggestion

* rm input dtype change in CPU

* add warning when use CPU low-precision

* rm useless logging

…uggingface#29787)

remove unused attrs

huggingface#29785)

replaced concatenation to f-strings to improve readability and unify with the rest code

nit

)

* Security policy

* Apply suggestions from code review

Co-authored-by: Luc Georges <McPatate@users.noreply.github.com>
Co-authored-by: Michelle Habonneau <83347449+Michellehbn@users.noreply.github.com>

* Update SECURITY.md

Co-authored-by: Diogo Teles Sant'Anna <diogoteles@google.com>

---------

Co-authored-by: Luc Georges <McPatate@users.noreply.github.com>
Co-authored-by: Michelle Habonneau <83347449+Michellehbn@users.noreply.github.com>
Co-authored-by: Diogo Teles Sant'Anna <diogoteles@google.com>

[SuperPoint] Fix doc example

Fix typo for llava next docs

…uggingface#29702)

* model_summary.md - Add link to Harvard's Annotated Transformer.

* model_summary.md - slight wording change + capitalize name of the paper

* model_summary.md - moves the Annotated Transformer link in a praenthesis next to the link to the original paper (great idea, stevhliu!)

* model_summary.md - moves the Annotated Transformer link in a praenthesis next to the link to the original paper (commit pt. 2, accidentally removed "has" in pt. 1)

…ce#29112)

* [test_all] Remove static pretrained maps from the library's internals

* Deprecate archive maps instead of removing them

* Revert init changes

* [test_all] Deprecate instead of removing

* [test_all] PVT v2 support

* [test_all] Tests should all pass

* [test_all] Style

* Address review comments

* Update src/transformers/models/deprecated/_archive_maps.py

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

* Update src/transformers/models/deprecated/_archive_maps.py

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

* [test_all] trigger tests

* [test_all] LLAVA

* [test_all] Bad rebase

---------

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

…9099)

fix the behavior of collecting 'num_input_tokens_seen'

See huggingface#28791 for more details.

* 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>

---------

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

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

…uggingface#29255)

* 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>

…e#29747)

* 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

---------

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

Update image_feature_extraction.md

…s` (huggingface#29772)

* update

* add ut

* update

* Add cosine_with_min_lr scheduler

* Update error message for missing min_lr or min_lr_rate

* remove py3nvml to skip amd memory benchmarks

* uninstall pynvml from docker images

…Implementation (huggingface#29557)

* fix tinyllama flax modelling

* rename vars to minimize changes

* move

* formatting

* remove unused var

* 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: 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

…huggingface#29813)

* 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

…s" (huggingface#29846)

* Automatic safetensors conversion when lacking these files (huggingface#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

fix foward

* 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

---------

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

* 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

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

* add some help

* style

…9892)

don't gather on pkv when using the trainer

* add doc warning

* fix build pr

* 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>

…ingface#29894)

fix typo

…rt_close` (huggingface#29915)

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

* missing atol rtol

* 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

---------

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

…ggingface#29838)

* 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>

---------

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

…gface#29808)

* add hard rope scaling test

* make fixup

* quick rope scaling tests

* add copy statements

…9851)

* nit

* update

* oups

* Update src/transformers/models/mamba/modeling_mamba.py

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

---------

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

…ep leading spaces 🚨 breaking fix (huggingface#29453)

* nit

* update test and fix test

* fixup

…fig (huggingface#29589)

* 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

---------

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

* fi xbc?

* nit

…#29842)

Fix doc issue in DebertaV2Config class

Co-authored-by: Vinayakk Garg <vigar@akamai.com>

* fix

* fix test

* style

* nit

* rather rely on concert token to id

* fix quality

* Update src/transformers/convert_slow_tokenizer.py

Trainer with PyTorch now requires accelerate to be installed.

Partly resolves huggingface#29174

…gface#29479)

* fix

* revert for qwen2

* revert for qwen2

* update

* update

---------

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

* with with

* style

fix: rope_theta for open llama

* improve: error message for best model metric

* update: raise warning instead of error

Co-authored-by: Alexander Jipa <azzhipa@amazon.com>

Fixes huggingface#29690

* Update qwen2_moe.md

* update link of blogpost.

* fixup

---------

Co-authored-by: bozheng-hit <dsoul0621@gmail.com>

fix awq quant

* Start rework

* Fix failing test

* Include max

* Update src/transformers/trainer.py

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

---------

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

* fix FA2 tests

* refactor inference test name

* fix copies

* nit

* style

* Update utils/check_copies.py

…ional_generation_llava` (huggingface#29975)

bug fix

* update

* feedback

* fix bug and add tests

* nit

* otherway to get the cur len instead of attention mask

* more places where this might have been broken

* nit

* oups

* inputs_embeds vs input_embeds

* test generated outptus

* style

* nit

* fix

* skip failing biogpt

…LM (huggingface#29904)

* Fix sinusoidal_embeddings in FlaubertModel

* Fix for Informer

* Fix for XLM

* Move sinusoidal emb for XLM

* Move sinusoidal emb for Flaubert

* Small cleanup

* Add comments on tests code copied from

* Add with Distilbert->

fix bug

* fix issue with logit processor in beam search in Flax

* adding FlaxNoRepeatNGramLogitsProcessor class + unit test

* style correction and code verification

* add FlaxNoRepeatNGramLogitsProcessor to the test_processor_list and test_processor_list_jitted tests

* fix an issue where ngrams are banned only if they appear ==1 time + update description of get_previous_ngrams

* replace non-jit compatible masking of ngrams that are not yet generated with jittable version

* Revert "fix issue with logit processor in beam search in Flax"

This reverts commit 09b70d7.

* add FlaxNoRepeatNGramLogitsProcessor to _get_logits_processor

* change the method of casting to boolean of banned tokens indices

* fix code style

* remove some useless operations + significantly faster computation of update indices using jax.lax.fori_loop

* remove useless loop iterations

* set some variables that were calculated and used multiple times

* fix format

…gface#29939)

* add FA2 to o.g Musicgen

* make style

* add FA2 support to Musicgen Melody

* add generation FA2 tests to o.g Musicgen

* make style and fix copies

* add Musicgen to FA2 docs + deprecate list

* add sdpa supports to Musicgen's

* make style and fix copies

* refactor attention implementation arguments

* add Copied from to sdpa tests

* add copied form in sdpa tests melody

* add copied for FA2 generation tests

* add FA2 inference copied from

* make style

…ingface#29949)

…face#29311)

* Fix skip_special_tokens process for Wav2Vec2CTCTokenizer._decode

* Fix skip_special_tokens for Wav2Vec2CTCTokenizer._decode

* Exclude pad_token filtering since it is used as CTC-blank token

* Add small test for skip_special_tokens

* Update decoding test for added new token

)

* Hard error when ignoring tensors. (huggingface#27484)

* [WIP] Hard error when ignoring tensors.

* Better selection/error when saving a checkpoint.

- Find all names we should normally drop (those are in the transformers
  config)
- Find all disjoint tensors (for those we can safely trigger a copy to
  get rid of the sharing before saving)
- Clone those disjoint tensors getting rid of the issue
- Find all identical names (those should be declared in the config
  but we try to find them all anyway.)
- For all identical names:
  - If they are in the config, just ignore them everything is fine
  - If they are not, warn about them.
- For all remainder tensors which are shared yet neither identical NOR
  disjoint. raise a hard error.

* Adding a failing test on `main` that passes here.

* We don't need to keep the subfolder logic in this test.

* Apply suggestions from code review

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

---------

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

* Add small tests.

* Dead variable.

* Fixup.

* Fixing tied_Weights_keys on generic models.

* Fixup + T5 encoder/decoder tying (with different layers)

* Code quality.

* Dynamic member.

* trigger

* Fixing encoder name for other types of encoder/decoder combos.

* Fix scoping.

* Update .github/workflows/self-scheduled.yml

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

* Fixing the tied_weights after the call.

---------

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

* fix norm

* fix logits processors doctests