GitLab

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

* fix batchinng tests for new models

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

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

* Refactor TFP call to just sigmoid()

* Make sure we cast to the right dtype

[tests] make `test_trainer_log_level_replica` to run on accelerators with more than 2 devices (#29609)

add new arg

* Move normalization for numerical stability

* Apply suggestions from code review

Remove useless x=x line

* PR comment - normalize later to preserve var name meaning

* fsdp+qlora related changes

* fixes

* Update quantization_config.py

* support fsdp+qlora and dsz3+qlora

* Update quantization_config.py

* Update modeling_utils.py

* Update modeling_utils.py

* Update modeling_utils.py

* Update modeling_utils.py

* Update modeling_utils.py

* Update modeling_utils.py

* handle fsdp+qlora and dsz3+qlora correctly while model loading

* fix param count

* quality

* fsdp related changes

* fsdp changes only when using LoRA/QLoRA

* add accelerate version check

* refactor, update min accelerate version and add tests

1. Update minimum accelerate version to 0.26.0
2. Clean the trainer wrt accelerate version checks
3. FSDP refactor and test for fsdp config
4. use `itemsize` instead of `dtype2bytes` dict

* fix test

* Address comments
Co-Authored-By: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* fix the conditional flag

* fix conditional flag

* address comments
Co-Authored-By: Zach Mueller <7831895+muellerzr@users.noreply.github.com>

---------
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Zach Mueller <7831895+muellerzr@users.noreply.github.com>

* torchscript and trainer md es translation

* corrected md es files and even corrected spelling in en md

* made es corrections to trainer.md

* deleted entrenamiento... title on yml

* placed entrenamiento in right place

* translated es chat_templating.md w/ yml addition

* requested es changes to md and yml

* last es changes to md

* tmp

* Remove debug step

* Fix a typo

* Move to is_torch_xla_available

* Use einsum where possible

* Fix

* [generate] deprecate forced ids processor

* add todo

* make message clearer

* Adds pretrained IDs directly in the tests

* Fix tests

* Fix tests

* Review!

* Warn against remote tool use

* Additional disclaimer

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

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

deprecate old funcs

fix fix copies

* initial implementation of flash attention for gptj

* modify flash attention and overwrite test_flash_attn_2_generate_padding_right

* update flash attention support list

* remove the copy line in the `CodeGenBlock`

* address copy mechanism

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

* Add GPTJ attention classes

* add expected outputs in the gptj test

* Ensure repo consistency with 'make fix-copies'

---------
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update convert_gemma_weights_to_hf.py

* Update src/transformers/models/gemma/convert_gemma_weights_to_hf.py

* fixup

check max_position_embeddings

fix: handle logging of scalars in wandb summary

fixes:  #29430

* add tests for batching support

* Update src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

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

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

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

* fixes and comments

* use cosine distance for conv models

* skip mra model testing

* Update tests/models/vilt/test_modeling_vilt.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* finzalize  and make style

* check model type by input names

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

* fixed batch size for all testers

* Revert "fixed batch size for all testers"

This reverts commit 525f3a0a058f069fbda00352cf202b728d40df99.

* add batch_size for all testers

* dict from model output

* do not skip layoutlm

* bring back some code from git revert

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

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

* clean-up

* where did minus go in tolerance

* make whisper happy

* deal with consequences of losing minus

* deal with consequences of losing minus

* maskformer needs its own test for happiness

* fix more models

* tag flaky CV models from Amy's approval

* make codestyle

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

Update quantization.md

* update

* update

* update

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

* Set env var to hold Keras at Keras 2

* Add Amy's update

* make fixup

* Use a warning instead

* Update legacy Repository usage in `examples/pytorch/text-classification/run_glue_no_trainer.py`

Marked for deprecation here https://huggingface.co/docs/huggingface_hub/guides/upload#legacy-upload-files-with-git-lfs

* Fix import order

* Replace all example usage of deprecated Repository

* Fix remaining repo call and rename args variable

* Revert removing creation of gitignore files and don't change research examples

Implemented add_pooling_layer argument

* Fix type (determine)

* ruff

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

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

* Fix examples to stop passing None to compile(), rework example invocation for run_text_classification.py

* Add Amy's fix

fix fuyu docs

* Experimental loading of MLX files

* Update exception message

* Add test

* Style

* Use model from hf-internal-testing

* Update add_new_model.md

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

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

Fixed broken link for Resources -> Token Classification -> Finetuning BERT for named-entity

* Add missing localized READMEs to the copies check

* Run check to resolve all inconsistencies

fix error: TypeError: Object of type Tensor is not JSON serializable trainer
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

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

[Docs] Fix FastSpeech2Conformer links

* add USE_TORCH_XLA env

* rename torch_tpu to torch_xla

* better is_torch_xla_available; fix some fsdp and performance issues

* fix format

* fix bug when pjrt_device is cpu

* fix bug

* fix the deprecation handling

---------
Co-authored-by: anw90 <ang868@gmail.com>
Co-authored-by: wangang.wa <wangang.wa@alibaba-inc.com>

* Fixing error #29332. The _check_and_enable_flash_attn_2() method receives a check_device_map parameter and fails.

* style fixup

* add: initial script to train clm fim

* fix: if training model from scratch, new tokens will be added and embeddings resized

* fix: fixed attention_mask errors when generating FIM data

* fix: file formatted using black

* add: run_fim_no_trainer.py and fixed some comments in run_fim.py

* add: added fim examples to the README.md and ran code fixup

* fix: little bug in both fim training scripts

* fix: remove comment from notebook and added a note on fim related params

* fix: minor typo in README

* add: suggested minor changes to README and run_fim.py

* add: gradient_accumulation_steps and gradient_checkpointing args

* add: improved model embedding resizing

* add: pad_to_multiple_of and attn_implementation params

* add: requested minor changes

* add: deepspeed zero compatibility

* add: resize embeddings layer with zero3 support for fim model initialization