GitLab

import tensorflow inside relevant methods in trainer_utils

* intiial commit

* updates

* nits

* update conversion script

* update conversion script

* use path to load

* add tips etc

* some modeling logic

* modeling update

* more nits

* nits

* normal layer norm

* update config and doc

* nits

* update doc remove unused

* update

* fix inits and stuff

* fixup

* revert wrong changes

* updates

* more nits

* add default config values to the configuration file

* fixup happy

* update

* 2 tests left

* update readmes

* more nits

* slow test and more documentation

* update readme

* fix licences

* styling

* use fast if possible when saving tokenizer

* remove todo

* remove tokenization tests

* small last nits

* Apply suggestions from code review
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* nits to skip the timout doctest

* fix integration test

* fix test

* update eos token

* update to allow fast tokenization

* styling

* fix codeLlama as well for the update post processor

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

* add more copied from statements

* update

* doc passes doctest

* remove `# final layer norm?`

* change docstring prompot

* update

* Update README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* don't doctest the conversion script as it requires more packages

* don't init a model in the config

* oups

* fix doctest

---------
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* improve import time

* Update src/transformers/integrations/__init__.py

* sort import

only main process should call _save when deepspeed zero3

* fix `set_infilling_processor` to properly reset

* Add docstring!

* fixups

* more details in the docuemtation about the tokenization

* styl;e

* Ignore warning if tracing with dynamo

* fix import error

* separate to function

* add test

* add missing doc for activation dropout

* fix doc for SEW-D dropout

* deprecate hidden_dropout for SEW-D

This commit corrects the dropout implementation in Graphormer, aligning it with the original implementation and improving performance. Specifically:

1. The `attention_dropout` variable, intended for use in GraphormerMultiheadAttention, was defined but not used. This has been corrected to use `attention_dropout` instead of the regular `dropout`.
2. The `activation_dropout` for the activations in the feed-forward layers was missing. Instead, the regular `dropout` was used. This commit adds `activation_dropout` to the feed-forward layers.

These changes ensure the dropout implementation matches the original Graphormer and delivers empirically better performance.

* fix loss inconsistent after resume  #25340

* fix typo

* clean code

* reformatted code

* adjust code according to comments

* adjust check_dataloader_randomsampler location

* return sampler only

* handle sampler is None

* Update src/transformers/trainer_pt_utils.py

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

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

fix typo

* Fix vilt config init parameter to match the ones in documentation

* Fix the documentation

* Add tgs metrics

* bugfix and black formatting

* workaround for tokens counting

* formating and bugfix

* Fix

* Add opt-in for tgs metrics

* make style and fix error

* Fix doc

* fix docbuild

* hf-doc-build

* fix

* test

* Update src/transformers/training_args.py

renaming
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* Update src/transformers/training_args.py

renaming
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* Fix some symbol

* test

* Update src/transformers/trainer_utils.py

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

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

* Update src/transformers/trainer.py

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

* Fix reviews

* Fix

* Fix black

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

* Fix err

* Use version check

* add new arg for gptq

* add tests

* add min version autogptq

* fix order

* skip test

* fix

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

* fix style

* change model path

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

* stash commit

* More OPT updates

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

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

* Fix revision propagation

* Cleaner

* fix convert megatron model too large

* fix convert megatron model too large

* add: potential fix to mega chunking in decoder only model bug

* add: decoder with chunking test

* add: input_mask passed with input_ids

* [Wav2Vec2 Conformer] Fix inference float16

* fix test

* fix test more

* clean pipe test

deepspeed resume from ckpt fixes and adding support for deepspeed optimizer and HF scheduler (#25863)

* Add support for deepspeed optimizer and HF scheduler

* fix bug

* fix the import

* fix issue with deepspeed scheduler saving for hf optim + hf scheduler scenario

* fix loading of hf scheduler when loading deepspeed checkpoint

* fix import of `DeepSpeedSchedulerWrapper`

* add tests

* add the comment and skip the failing tests

* address comment

* Add TFDebertaV2ForMultipleChoice

* Import newer model in main init

* Fix import issues

* Fix copies

* Add doc

* Fix tests

* Fix copies

* Fix docstring

* no_split_modules

* no_split_modules

* inputs_embeds+pos same device

* update _no_split_modules

* update _no_split_modules

* patch with accelerate xpu

* patch with accelerate xpu

* formatting

* fix tests

* revert ruff unrelated fixes

* revert ruff unrelated fixes

* revert ruff unrelated fixes

* fix test

* review fixes

* review fixes

* black fixed

* review commits

* review commits

* style fix

* use pytorch_utils

* revert markuplm test

This cl iterates through a list of keys rather than dict items while updating the dict elements. Fixes the following error:
File "..../transformers/training_args.py", line 1544, in post_init
for k, v in self.fsdp_config.items():
RuntimeError: dictionary keys changed during iteration

* fix

* fix

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

rename doanloading to downloading

nn.Identity is not required to be compatible with PyTorch < 1.1.0 as the minimum PyTorch version we currently support is 1.10.0 (#25974)

nn.Identity is not required to be compatible with PyTorch < 1.1.0 as the
minimum PyTorch version we currently support is 1.10.0

* Update feature_extraction_clap.py

* changed all lenght to length

* remove SDPA for falcon

* revert previous behaviour and add warning

* nit

* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Update src/transformers/models/falcon/modeling_falcon.py

---------
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
Co-authored-by: Lysandre Debut <hi@lysand.re>

* Put Falcon back

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

* Update test

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

* Add missing type hints and consistency to `RegNet` models

* Add missing type hints and consistency to `TFSamModel`

* Add missing type hints to `TFSegformerDecodeHead`

* Add missing type hints and consistency to `TransfoXL` family models

* Add missing type hints and consistency to `TFWav2Vec2ForSequenceClassification`

* Add type hints to `TFXLMModel`

* Fix linter

* Revert the type hints for `RegNet` to python 3.8 compliant

* Remove the redundant np.ndarray type hint.

* fix

* fix

* fix

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

* Add proper Falcon docs and conversion script

* Autodetect the decoder architecture instead of using an arg

* Update docs now that we can autodetect

* Fix doc error

* Add doc to toctree

* Quick doc update

Follow up from #25599

* some bug fixes

* updates

* Update code_llama.md
Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>

* Add co author
Co-authored-by: pcuenca <pedro@latenitesoft.com>

* add a test

* fixup

* nits

* some updates

* fix-coies

* adress comments

* nits

* nits

* fix docsting

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

* update

* add int for https://huggingface.co/spaces/hf-accelerate/model-memory-usage



---------
Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>
Co-authored-by: pcuenca <pedro@latenitesoft.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>