GitLab

* fix heuristic num_assistant_tokens_schedule

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

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

* Update utils.py

check that candidate_generator.assistant_model exists since some some speculations (like ngram and PLD) don't have assistant_model attribute

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

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

* make fixup

* merge conflict

* fix docstring

* make fixup

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

* made changes for object detection models

* added support for segmentation models.

* Made changes for segmentaion models

* Changed import statements

* solving conflicts

* removed conflicts

* Resolving commits

* Removed conflicts

* Fix : Pixel_mask_value set to False

* fix max_length for inputs_embeds

* make style

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

* Static Cache: load models with MQA or GQA (#28975)

* fix

* fix tests

* fix tests

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

* more fixes

* make style

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

* Script & Manual edition

* Update

Update utils.py

removed redundant field

* Patch to skip currently failing tests

* Whoops - wrong place

Update modeling_utils.py

* Update ms_deform_attn_cuda.cu

* Update ms_deform_attn_cuda.cuh

* Update modeling_deformable_detr.py

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

* Update modeling_deformable_detr.py

* python utils/check_copies.py --fix_and_overwrite

* Fix dtype missmatch error

* Update test_modeling_deformable_detr.py

* Update test_modeling_deformable_detr.py

* Update modeling_deformable_detr.py

* Update modeling_deformable_detr.py

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

* enable graident checkpointing in DetaObjectDetection

* fix missing part in original DETA

* make style

* make fix-copies

* Revert "make fix-copies"

This reverts commit 4041c86c29248f1673e8173b677c20b5a4511358.

* remove fix-copies of DetaDecoder

* enable swin gradient checkpointing

* fix gradient checkpointing in donut_swin

* add tests for deta/swin/donut

* Revert "fix gradient checkpointing in donut_swin"

This reverts commit 1cf345e34d3cc0e09eb800d9895805b1dd9b474d.

* change supports_gradient_checkpointing pipeline to PreTrainedModel

* Revert "add tests for deta/swin/donut"

This reverts commit 6056ffbb1eddc3cb3a99e4ebb231ae3edf295f5b.

* Revert "Revert "fix gradient checkpointing in donut_swin""

This reverts commit 24e25d0a14891241de58a0d86f817d0b5d2a341f.

* Simple revert

* enable deformable detr gradient checkpointing

* add gradient in encoder

* add cuda_custom_kernel function in MSDA

* make style and fix input of DetaMSDA

* make fix-copies

* remove n_levels in input of DetaMSDA

* minor changes

* refactor custom_cuda_kernel like yoso format
https://github.com/huggingface/transformers/blob/0507e69d34f8902422eb4977ec066dd6bef179a0/src/transformers/models/yoso/modeling_yoso.py#L53

* wow I was scared!

* fix everything

* nits

* make it BC?

* add todo

* nits

* is_tracing should still be used to pass tracing tests

* nits

* some nits to make sure genration works with static cache uncompiled

* fix sdpa

* fix FA2 for both static and dynamic in a better way?

* style

* fix-copies

* fix fix copies

* fix sequential beam searcg

* style

* use `keys_to_ignore`

* nit

* correct dtype inference when init

* :( the fix for FA2 is still not optimal to investigate!

* styling

* nits

* nit

* this might work better

* add comment

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

* "position_ids" -> "cache_position"

* style

* nit

* Remove changes that should no be propagatted just yet

* Apply suggestions from code review

* Styling

* make sure we raise an errir for static cache with FA2 enabled

* move  to the bottom of the signature

* style

* Update src/transformers/models/llama/modeling_llama.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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

* nit in the name

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

* revert unrelated changes that got in

* style

FIX [`Trainer` / tags]: Fix trainer + tags when users do not pass `"tags"` to `trainer.push_to_hub()` (#29009)

* fix trainer tags

* add test

* Initial commit

* Add guards for the global mesh

* Address more comments

* Move the dataloader into integrations/tpu.py

* Fix linters

* Make karg more explicitly

* Remove the move device logic

* Fix the CI

* Fix linters

* Re-enable checkpointing

* Enable instantiating model with pretrained backbone weights

* Clarify pretrained import

* Use load_backbone instead

* Add backbone_kwargs to config

* Pass kwargs to constructors

* Fix up

* Input verification

* Add tests

* Tidy up

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

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

* Add tie_weights() to LM heads and set bias in set_output_embeddings()

The bias were not tied correctly in some LM heads, and this change should fix that.

* Moving test_save_and_load_low_cpu_mem_usage to ModelTesterMixin

* Adding _tie_weights() to MPNet and Vilt

* Skip test for low cpu mem usage for Deta/DeformableDetr since they cannot init on meta device

* Rename to test name to save_load to match the convention

* Create mask_generation.md

* add h1

* add to toctree

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update mask_generation.md

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* Update mask_generation.md

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

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Klaus Hipp <khipp@users.noreply.github.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Klaus Hipp <khipp@users.noreply.github.com>

* Update docs/source/en/tasks/mask_generation.md
Co-authored-by: Klaus Hipp <khipp@users.noreply.github.com>

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

* Update docs/source/en/tasks/mask_generation.md

* Update mask_generation.md

* Update mask_generation.md

---------
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Maria Khalusova <kafooster@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Klaus Hipp <khipp@users.noreply.github.com>

* Introduce acceleratorconfig dataclass

* Extra second warn

* Move import

* Try moving import under is_accelerate_available

* Quality

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

* Clean

* Remove to_kwargs

* Change version

* Improve tests by including dispatch and split batches

* Improve reliability

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

* Fixup tests and review nits

* Make tests pass

* protect import

* Protect import

* Empty-Commit

* Make training_args.to_dict handle the AcceleratorConfig

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

Co-authored-by: unit_test <test@unit.com>

[`Doc`] Fix docbuilder - make `BackboneMixin` and `BackboneConfigMixin` importable from `utils`.  (#29002)

* Trigger doc build

* Test removing references

* Importable from utils

* Trigger another run on a new commit for testing

* aqlm init

* calibration and dtypes

* docs

* Readme update

* is_aqlm_available

* Simpler link in docs

* Test TODO real reference

* init _import_structure fix

* AqlmConfig autodoc

* integration aqlm

* integrations in tests

* docstring fix

* legacy typing

* Less typings

* More kernels information

* Performance -> Accuracy

* correct tests

* remoced multi-gpu test

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

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

* Brought back multi-gpu tests

* Update src/transformers/integrations/aqlm.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update tests/quantization/aqlm_integration/test_aqlm.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

---------
Co-authored-by: Andrei Panferov <blacksamorez@yandex-team.ru>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* First draft

* Add CLIPForImageClassification

* Remove scripts

* Fix doctests

* Add `StableLM`

* fix(model): re-create from `huggingface-cli add-new-model-like persimmon`

* fix: re-add changes to address comments

* fix(readme): add links to paper

* fix(tokenization_auto): remove `GPTNeoXTokenizerFastFast` ref

* fix(tests): re-add `@slow` decorator to integration tests

* fix(tests): import slow...

* fix(readme_hd): remove whitespace edit

* fix(tokenizer): auto tokenizer tuple

* skip doctests for `modeling_stablelm`

* enhance trainer + not support quant methods

* remove all old logic

* add version

ENH: Do not pass warning message in case `quantization_config` is in config but not passed as an arg (#28988)

* Update auto.py

* Update auto.py

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

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

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

* Update the processing so bbox coords are adjusted for padding

* Just pad masks

* Tidy up, add tests

* Better tests

* Fix yolos and mark as slow for pycocotols

* Fix yolos - return_tensors

* Clarify padding and normalization behaviour

* Update configuration_llama.py: fix broken link

* [Nit] Explicit redirection not required
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* add sudachi_projection option

* Upgrade sudachipy>=0.6.8

* add a test case for sudachi_projection

* Compatible with older versions of SudachiPy

* make fixup

* make style

* error message for unidic download

* revert jumanpp test cases

* format options for sudachi_projection
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* format options for sudachi_split_mode and sudachi_dict_type

* comment

* add tests for full_tokenizer kwargs

* pass projection arg directly

* require_sudachi_projection

* make style

* revert upgrade sudachipy

* check is_sudachi_projection_available()

* revert dependency_version_table and bugfix

* style format

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

* simply raise ImportError

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

* refactor with addedtokens decoder

* style

* get rid of lang code to id

* style

* keep some things for BC

* update tests

* add the mask token at the end of the vocab

* nits

* nits

* fix final tests

* style

* nits

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

* nits

* style?

* Update src/transformers/convert_slow_tokenizer.py

* make it a tad bit more custom

* ruff please stop
Co-Authored by avidale

<dale.david@mail.ru>

* Update
Co-authored-by: avidale <dale.david@mail.ru>

* Update
Co-authored-by: avidale <dale.david@mail.ru>

* oupts

* ouft

* nites

* test

* fix the remaining failing tests

* style

* fix failing test

* ficx other test

* temp dir + test the raw init

* update test

* style

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

* Translate contributing.md to German

* Fix formatting issues in contributing.md

* Address review comments

* Fix capitalization

Add video section

Add language identifiers to code blocks

clean up remaining tmp checkpoint dir
Signed-off-by: woshiyyya <xiaoyunxuan1998@gmail.com>

Continue to initialize tied output_embeddings if it has a bias term

The bias term is not tied, and so will need to be initialized accordingly.