GitLab

* fix galore lr display with lr schedulers

* style

* add some tests to check for displayed lrs

* copy-paste err for warmup steps

* standardize the default lr to be only in the optimizer

* trying out my luck with the reads

* cast image features to model.dtype where needed to support FP16 or other precision in pipelines

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

* Use .to instead

* Add FP16 pipeline support for zeroshot audio classification

* Remove unused torch imports

* Add docs on FP16 pipeline

* Remove unused import

* Add FP16 tests to pipeline mixin

* Add fp16 placeholder for mask_generation pipeline test

* Add FP16 tests for all pipelines

* Fix formatting

* Remove torch_dtype arg from is_pipeline_test_to_skip*

* Fix format

* trigger ci

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

* Repeating an important warning in the chat template docs

* Update docs/source/en/chat_templating.md
Co-authored-by: Lysandre Debut <hi@lysand.re>

* Reword for clarity

* Reword for clarity

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

* Add siglip loss function

* Update docs

* Enable training tests
[experimental] enable GC training tests as it has worked for my own data

* Remove test_training* overrides to enable training tests
[run_slow] siglip

* Skip training tests for Siglip text model and ImageClassificationModel
[run_slow] siglip

* Skip GC training tests for SiglipForImageClassification

* Explicitly skip training tests for SiglipVisionModel
Add skip reason for training tests for SiglipTextModel

* Remove copied from to fix CI

* Code agent: allow function persistence between steps

* skip 3 7b tests

* fix

* fix

* fix

* [run-slow] gemma

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

* Update CometCallback to allow reusing of the running experiment

* Fixups

* Remove useless TODO

* Add checks for minimum version of the Comet SDK

* Fix documentation and links.

Also simplify how the Comet Experiment name is passed

* exclude compile time from metrics computation

* fix the quality issue

return correct device when ACCELERATE_TORCH_DEVICE is defined

* Fix serialization

* style

* add test

* fixed ClapProcessor to merge all values output from the feature extractor into the returned BatchEncoding.

* fixed trailing whitespace

* Add torch_empty_cache_steps to TrainingArguments

* Fix formatting

* Add torch_empty_cache_steps to docs on single gpu training

* Remove check for torch_empty_cache_steps <= max_steps

* Captalize Tip

* Be device agnostic

* Fix linting

Update __init__.py

pytest_num_workers=4
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix init for rt-detr heads

* Fixup

* Add separate prior_prob value to config for initialization

* Add bbox init

* Change to 1 / num_labels init

* Adjust weights init test

* Fix style for test

* Fix cache and type conversion

* Add test

* Fixup

* nit

* [run slow] rt_detr

* Fix test

* Fixup

* [run slow] rt_detr

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

* [fix BUG] pad labels before use it in preprocess_logits_for_metrics

* a more readable fix

labels can't use  `gather` before pass to `preprocess_logits_for_metrics`, so must split into 2 if-block

* add a comment

* oh code quality check

Update trainer.py

gemma 2 slow tests

* Adds final answer tool for all agents

* Typo

* Add clarification in doc

* Put final_answer tool adition in agent for clarity

* 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 afte...

* 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

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