GitLab

* Preliminary work on some models

* Fix test load missing and make sure nonpersistent buffers are tested

* Always ignore nonpersistent buffers if in state_dict

* Treat models

* More models

* Treat remaining models

* Fix quality

* Fix tests

* Remove draft

* This test is not needed anymore

* Fix copies

* Fix last test

* Newly added models

* Fix last tests

* Address review comments

Remove SwinConfig

* One solution

* args -> self

* Find module name in an OS-agnostic fashion

* address review comment

* Adding T5ForQuestionAnswering

* Changed weight initialization that results in better initial loss when fine-tuning

* Update to class variables

* Running make fixup

* Running make fix-copies

* Remove model_parallel

* Adding MT5ForQuestionAnswering

* Adding docs

* Fix wrong doc

* Update src/transformers/models/mt5/modeling_mt5.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/t5/modeling_t5.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* File formatting

* Undoing change

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

* Update hyperparameter_search.py

* resolve comments

use accelerate autocast in jit eval path, since mix precision logic is in accelerator currently
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* fix

* fix

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

* Fix TypeError: Object of type int64 is not JSON serializable

* Convert numpy.float64 and numpy.int64 to float and int for json serialization

* Black reformatted examples/pytorch/token-classification/run_ner_no_trainer.py

* * make style

* add exception

* update docs

* group_beam_search now works correctly

* add argument descriptions

* add a comment

* format

* make style

* change comment

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

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Co-authored-by: shogo.fujita <shogo.fujita@legalontech.jp>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* fix link

* new link

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Co-authored-by: Gema <gema@mbp-de-gema-2.lan>

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

fix attribute error

* fix

* fix

* fix

* fix

* fix

* fix

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

* add accelerate support for instructblip

* add `_keep_in_fp32_modules`

* dynamically adapt `_no_split_modules`

* better fix

* same logic for `_keep_in_fp32_modules`

Add support for for loops

* deepspeed z2/z1 state_dict bloating fix

* update

* version check

* fix str device issue

* fixup

* adapt from suggestions

* forward contrib credits from suggestions

* better fix

* added backward compatibility for older PT versions

* final fixes

* oops

* Attempting something with less branching.

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Co-authored-by: amyeroberts <amyeroberts@users.noreply.github.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

Update type annotation

fix for tpu metrics debugs string

* Squash 88 commits

* Use markdown

* Remove mdx files due to bad rebase

* Fix modeling files due to bad rebase

* Fix style

* Update comment

* fix

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

* An end to accursed version-specific imports

* No more K.is_keras_tensor() either

* Update dependency tables

* Use a cleaner call context function getter

* Add a cap to <2.14

* Add cap to examples requirements too

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

* Allow dict input for audio classification pipeline

* make style

* Empty commit to trigger CI

* Empty commit to trigger CI

* check for torchaudio

* add pip instructions
Co-authored-by: Sylvain <sylvain.gugger@gmail.com>

* Update src/transformers/pipelines/audio_classification.py
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* asr -> audio class

* asr -> audio class

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Co-authored-by: Sylvain <sylvain.gugger@gmail.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

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

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

* fix

* fix

* fix

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

* Replace python random with torch.rand to enable dynamo.export

* revert changes to flax model code

* Remove unused random import

* Fix torch template

* Move torch.manual_seed(0) to right location

* fix the grad_acc issue at epoch boundaries
Co-Authored-By: Zach Mueller <7831895+muellerzr@users.noreply.github.com>

* add contributors.

Co-authored-by: sumpster

* address comments

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

* fix `.to` call on 4bit models

* better check

* [AutoModel] Add AutoModelForTextEncoding

* add mt5

* add other models

* add to docs

* fix tf imports

* add tf to docs / init

* up

* fix inits

* add to dummy objects

Explain the reason to clone tensor

* Refactor hyperparameter search backends

* Simpler refactoring without abstract base class

* black

* review comments:
specify name in class
use methods instead of callable class attributes
name constant better

* review comments: safer bool checking, log multiple available backends

* test ALL_HYPERPARAMETER_SEARCH_BACKENDS vs HPSearchBackend in unit test, not module. format with black.

* copyright

Fix segformer so compilation can figure out the channel dim

Revert "Fix gradient checkpointing + fp16 autocast for most models (#24247)"

This reverts commit 285a4801.