GitLab

* fix assisted decoding

* check None

* fix typo

* fix _prepare_special_tokens

* fix style

* fix lint

* add tests for assisted decoding

* fix style

* fix tests check

* Fix documentation for Gemma2. 

Model sizes and Blog post URL are wrong in the documentation.

* Update docs/source/en/model_doc/gemma2.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

Make the order of array items consistent using sorted()

* rely on the tokenizer default kwargs

* fix a few tests

* make work with cache abstraction

* correct for static cache

* hacks for compile

* make fast

* fix

* fix pos ids

* generate

* fix sdpa

* fix sdpa cache pos

* fix fa2

* clean fa2

* integrate cache into generate

* make style

* copies

* more copies

* update eager

* update sdpa

* update fa2

* simplify

* use cache pos

* always compute cross-cache for debug

* avoid recompiles
Co-authored-by: Arthur Zucker <arthur@huggingface.co>

* fix fix

* fix fix fix

* more fix

* try encoder-decoder cache (too messy)

* revert encoder-decoder cache

* check cross-attn cache

* use enc-dec dataclass

* use richer enc-dec dataclass

* clean-up

* revert static cache changes

* small fixes

* revert to cpu flag

* fix copies

* add static slow test

* past k/v docstring

* more docstrings

* cache_position docstrings

* add to docs

* add enc-dec cache to docs

* make style

* fix after rebase

* fix beam

* style

* fix generation strategies

* fix most decoder-only tests

* style

* skip test

* more clean up

* small docstrings

* Apply suggestions from code review
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add todo

* only crop self-attn

* check cache in mixin

* style

* fix re-compile after rebase

* move `is_updated` logic to enc-dec wrapper

* revert back

* revert cache back

* finalise design

* fix

* fix fix

* style

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

* deprecate

* updates

* final updates

* style

* style

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

* use bitwise or

* why is the CI not triggered?

* move

* move

* move

* move

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

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

* remove incorrect urls pointing to the llava repository

* remove incorrect urls pointing to the llava repository; removing entire comments

* remove incorrect urls pointing to the llava repository; removing entire comments; ran fix-copies

* ran fixup

* keras nlp pin

* this should use the new docker images:dev

* dev-ci

* Add French translation of run scripts tutorial

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

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

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

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

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

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

* softcapping

* soft cap before the mask

* style

* ...

* super nit

* add gather_use_object arguments

* fix name and pass the CI test for Seq2SeqTrainer

* make style

* make it to functools

* fix typo

* add accelerate version:

* adding warning

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

* make style

* Update src/transformers/training_args.py

* check function move to initial part

* add test for eval_use_gather_object

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Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* fix: use return_dict parameter

* fix: type checks

* fix: unused imports

* update: one-line if else

* remove: recursive check

Update modeling_gemma2.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* don't zero out the attention_mask when using sliding window with flash attention

* chore: lint

* fix gemma2

* handle in generate

quick usage to top

* nit

* toctree issue

* protect gemma2 tests as well

* sdpa supported

* inital commit

* Add doc

* protect?

* fixup stuffs

* update tests

* fix build documentation

* mmmmmmm config attributes

* style

* nit

* uodate

* nit

* Fix docs

* protect some stuff

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Co-authored-by: Lysandre <lysandre@huggingface.co>

remove

* change anchor_image_size None for compatibility

* make fix-copies

* Allow dtype str for torch_dtype in from_pretrained

* Update docstring

* Add tests for str torch_dtype

* fix and simplify the script!

* add co-author

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

* fixed models

* format with bumped ruff version on my local

* fix copies

* add tracing checks

* format

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

* format

* style fix

* Update modeling_mobilevit.py

* add docstring and change name

* Update __init__.py

* Update __init__.py

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

* fix

* better

* Skip tests properly

* [test_all]

* Add 'reason' as kwarg for skipTest

* [test_all] Fix up

* [test_all]

* Fix dtype casting in modeling_swin2sr to allow non-FP32 inference

* Fix formattting

* Fix for swinv2 too

* Update src/transformers/models/swin2sr/modeling_swin2sr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/swinv2/modeling_swinv2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add FP16 tests for swin2sr and swinv2

* [run_slow] swin2sr, swinv2

* [run_slow] swin2sr, swinv2

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

* fix extended attention mask

* add slow test for detection instance

* [run-slow]paligemma

* squash into single commit

* run diff once more

* docstring

* tests

* minor chnages and ready to go

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

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

* [run-slow] llava-next-video

* [run-slow] llava-next-video

* [run-slow] llava_next_video

* fix two tests

* fix slow tests

* remove logit checks due to numeric errors

* run test once more

* [run-slow] llava_next_video

* final try to pass the test

* [run-slow] llava_next_video

* [run-slow] llava_next_video

* [run-slow] llava_next_video

* style

* fix

* style

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

* [run_slow] rt_detr

* Fix positional embeddings and anchors dtypes

* [run slow] rt_detr

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

* Fixup

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

* fix llama fsdp

* fixup

* adding FSDP tests for CPU offloading

* fixes

* fix tests

* fix tests

* add it for mixtral

* propagate the changes on other models

* Update src/transformers/models/phi/modeling_phi.py

* Delete utils/testing_scripts/fsdp_cpu_offloading.py

Remove script - FSDP + CPU offloading it tested in the test suite

* Delete utils/testing_scripts/dummy_fsdp_config.yml

* Update + add cache_positions docstring

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

Update code snippet

* starting support for sdpa in `gptneox` models

* small comment on tests

* fix dropout

* documentation and style

* clarify concrete paths for reference

* generalise attn projections and rope application

added head mask check to sdpa mask creation

handle sdpa memory backend bug via own version flag

* update docs and style

* move dtype casting outside of general attn_projection_and_rope function

fix flash_attn_2 stuff

* more generic attn warning if output_attns or head_mask

* simplify head mask check by moving head mask creation to a later point

* remove copied llama artifact

* remove padding_mask from attention function signature

* removing unnecessary comments, only "save" attn implementation once

* [run_slow] gpt_neox

removes unnecessary second projection call

docs: move translations to i18n

* Add ViTImageProcessor to tests

* Correct data format

* Review comments