GitLab

* fix push to hub for peft ckpts

* oops

* fix link

* new link

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

Update __init__.py

Fix link to documentation to install Transformers from source 
Probably the title changed at some point from 'Installing' to 'Install'

* v1

* some refactor

- add ST format as well

* fix

* add `ADAPTER_WEIGHTS_NAME` & `ADAPTER_SAFE_WEIGHTS_NAME`

* New TF version compatibility fixes

* Remove dummy print statement, move expand_1d

* Make a proper framework inference function

* Make a proper framework inference function

* ValueError -> TypeError

* Better check for packages availability

* amend _optimumneuron_available

* amend torch_version

* amend PIL detection and lint

* lint

* amend _faiss_available

* remove overloaded signatures of _is_package_available

* fix sklearn and decord detection

* remove unused checks

* revert

* Remove nestedness in tool config

* Really do it

* Use remote tools descriptions

* Work

* Clean up eval

* Changes

* Tools

* Tools

* tool

* Fix everything

* Use last result/assign for evaluation

* Prompt

* Remove hardcoded selection

* Evaluation for chat agents

* correct some spelling

* Small fixes

* Change summarization model (#23172)

* Fix link displayed

* Update description of the tool

* Fixes in chat prompt

* Custom tools, custom prompt

* Tool clean up

* save_pretrained and push_to_hub for tool

* Fix init

* Tests

* Fix tests

* Tool save/from_hub/push_to_hub and tool->load_tool

* Clean push_to_hub and add app file

* Custom inference API for endpoints too

* Clean up

* old remote tool and new remote tool

* Make a requirements

* return_code adds tool creation

* Avoid redundancy between global variables

* Remote tools can be loaded

* Tests

* Text summarization tests

* Quality

* Properly mark tests

* Test the python interpreter

* And the CI shall be green.

* fix loading of additional tools

* Work on RemoteTool and fix tests

* General clean up

* Guard imports

* Fix tools

* docs: Fix broken link in 'How to add a model...'  (#23216)

fix link

* Get default endpoint from the Hub

* Add guide

* Simplify tool config

* Docs

* Some fixes

* Docs

* Docs

* Docs

* Fix code returned by agent

* Try this

* Match args with signature in remote tool

* Should fix python interpreter for Python 3.8

* Fix push_to_hub for tools

* Other fixes to push_to_hub

* Add API doc page

* Docs

* Docs

* Custom tools

* Pin tensorflow-probability (#23220)

* Pin tensorflow-probability

* [all-test]

* [all-test] Fix syntax for bash

* PoC for some chaining API

* Text to speech

* J'ai pris des libertés

* Rename

* Basic python interpreter

* Add agents

* Quality

* Add translation tool

* temp

* GenQA + LID + S2T

* Quality + word missing in translation

* Add open assistance, support f-strings in evaluate

* captioning + s2t fixes

* Style

* Refactor descriptions and remove chain

* Support errors and rename OpenAssistantAgent

* Add setup

* Deal with typos + example of inference API

* Some rename + README

* Fixes

* Update prompt

* Unwanted change

* Make sure everyone has a default

* One prompt to rule them all.

* SD

* Description

* Clean up remote tools

* More remote tools

* Add option to return code and update doc

* Image segmentation

* ControlNet

* Gradio demo

* Diffusers protection

* Lib protection

* ControlNet description

* Cleanup

* Style

* Remove accelerate and try to be reproducible

* No randomness

* Male Basic optional in token

* Clean description

* Better prompts

* Fix args eval in interpreter

* Add tool wrapper

* Tool on the Hub

* Style post-rebase

* Big refactor of descriptions, batch generation and evaluation for agents

* Make problems easier - interface to debug

* More problems, add python primitives

* Back to one prompt

* Remove dict for translation

* Be consistent

* Add prompts

* New version of the agent

* Evaluate new agents

* New endpoints agents

* Make all tools a dict variable

* Typo

* Add problems

* Add to big prompt

* Harmonize

* Add tools

* New evaluation

* Add more tools

* Build prompt with tools descriptions

* Tools on the Hub

* Let's chat!

* Cleanup

* Temporary bs4 safeguard

* Cache agents and clean up

* Blank init

* Fix evaluation for agents

* New format for tools on the Hub

* Add method to reset state

* Remove nestedness in tool config

* Really do it

* Use remote tools descriptions

* Work

* Clean up eval

* Changes

* Tools

* Tools

* tool

* Fix everything

* Use last result/assign for evaluation

* Prompt

* Remove hardcoded selection

* Evaluation for chat agents

* correct some spelling

* Small fixes

* Change summarization model (#23172)

* Fix link displayed

* Update description of the tool

* Fixes in chat prompt

* Custom tools, custom prompt

* Tool clean up

* save_pretrained and push_to_hub for tool

* Fix init

* Tests

* Fix tests

* Tool save/from_hub/push_to_hub and tool->load_tool

* Clean push_to_hub and add app file

* Custom inference API for endpoints too

* Clean up

* old remote tool and new remote tool

* Make a requirements

* return_code adds tool creation

* Avoid redundancy between global variables

* Remote tools can be loaded

* Tests

* Text summarization tests

* Quality

* Properly mark tests

* Test the python interpreter

* And the CI shall be green.

* Work on RemoteTool and fix tests

* fix loading of additional tools

* General clean up

* Guard imports

* Fix tools

* Get default endpoint from the Hub

* Simplify tool config

* Add guide

* Docs

* Some fixes

* Docs

* Docs

* Fix code returned by agent

* Try this

* Docs

* Match args with signature in remote tool

* Should fix python interpreter for Python 3.8

* Fix push_to_hub for tools

* Other fixes to push_to_hub

* Add API doc page

* Fixes

* Doc fixes

* Docs

* Fix audio

* Custom tools

* Audio fix

* Improve custom tools docstring

* Docstrings

* Trigger CI

* Mode docstrings

* More docstrings

* Improve custom tools

* Fix for remote tools

* Style

* Fix repo consistency

* Quality

* Tip

* Cleanup on doc

* Cleanup toc

* Add disclaimer for starcoder vs openai

* Remove disclaimer

* Small fixed in the prompts

* 4.29

* Update src/transformers/tools/agents.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Complete documentation

* Small fixes

* Agent evaluation

* Note about gradio-tools & LC

* Clean up agents and prompt

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Note about gradio-tools & LC

* Add copyrights and address review comments

* Quality

* Add all language codes

* Add remote tool tests

* Move custom prompts to other docs

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

* TTS tests

* Quality

---------
Co-authored-by: Lysandre <hi@lyand.re>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Philipp Schmid <32632186+philschmid@users.noreply.github.com>
Co-authored-by: Connor Henderson <connor.henderson@talkiatry.com>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre <lysandre@huggingface.co>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

Revert "[Doctests] Refactor doctests + add CI (#22987)"

This reverts commit 627f4479.

* intiial commit

* new styling

* update

* just run doctest in CI

* remove more test for fast dev

* update

* update refs

* update path and fetch upstream

* update documentatyion trests

* typo

* parse pwd

* don't check for files that are in hidden folders

* just give paths relative to transformers

* update

* update

* update

* major refactoring

* make sure options is ok

* lest test that mdx is tested

* doctest glob

* nits

* update doctest nightly

* some cleaning

* run correct test on diff

* debug

* run on a single worker

* skip_cuda_test tampkate

* updates

* add rA and continue on failure

* test options

* parse `py` codeblock?

* we don't need to replace ignore results, don't remember whyu I put it

* cleanup

* more cleaning

* fix arg

* more cleaning

* clean an todo

* more pre-processing

* doctest-module has none so extra `- ` is needed

* remove logs

* nits

* doctest-modules ....

* oups

* let's use sugar

* make dataset go quiet

* add proper timeout

* nites

* spleling timeout

* update

* properly skip tests that have CUDSA

* proper skipping

* cleaning main and get tests to run

* remove make report?

* remove tee

* some updates

* tee was removed but is the full output still available?

* [all-test]

* only our tests

* don't  touch tee in this PR

* no atee-sys

* proper sub

* monkey

* only replace call

* fix sub

* nits

* nits

* fix invalid syntax

* add skip cuda doctest env variable

* make sure all packages are installed

* move file

* update check repo

* revert changes

* nit

* finish cleanup

* fix re

* findall

* update don't test init files

* ignore pycache

* `-ignore-pycache` when running pytests

* try to fix the import missmatch error

* install dec

* pytest is required as doctest_utils imports things from it

* the only log issues were dataset, ignore results should work

* more cleaning

* Update .circleci/create_circleci_config.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* [ydshieh] empty string if cuda is found

* [ydshieh] fix condition

* style

* [ydshieh] fix

* Add comment

* style

* style

* show failure

* trigger CI

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix mess

* better documentation

* typo

* fix doc

* update

* add test

* fix test

* more tests

* Update src/transformers/modeling_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* move to utils

* Apply suggestions from code review
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* nit

---------
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* add hack fx

* continue hacking

* final changes

* Test

* Add a keys method

* Fix keys method

* revert unneeded changes

* small nit

---------
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

This predicate will become available in tensorflow starting with version
2.14.
Co-authored-by: Russell Power <power@google.com>

* initial work

* Add other classes

* Refactor code

* Move warning and fix dynamic pipeline

* Issue warning when necessary

* Add test

* Do not skip auto tests

* Fix failing tests

* Refactor and address review comments

* Address review comments

Revert "Use code on the Hub from another repo (#22698)"

This reverts commit ea7b0a53.

* initial work

* Add other classes

* Refactor code

* Move warning and fix dynamic pipeline

* Issue warning when necessary

* Add test

* resolve conflicts

* rebase and make style

* test

* test

* test

* rebase and make style

* rebase and make style

* tests

* tests

* rewrite some functions

* rebase and make style

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* fix some bugs & docstring

* add models and tests

* solve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* tests

* resolve conflicts

* resolve conflicts

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* fix some bugs & docstring

* save resolution

* make style

* delete redefinition code

* reformat function

* reformat

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* tests

* resolve conflicts

* resolve conflicts

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* resolve conflicts

* make style

* fix bugs and refactor

* modify docstrings and make style

* unify import format in __init__.py

* fix import-altclp bug

* fix copies to update index.md

* fix unused config parameters

* fix unused config parameters

* fix unused config parameters

* update README_ja.md

* dummy commit for unit test

* fix attention mask

* add CPMAntTokenizer&-Fast to auto-mapping

* drop redundant changes in README_ko

* fix  defaults in docstring

* fix use_cache and some docstring

* add missing args in tokenizer

* modify tester inheritance

* add is_jieba_available

* fix some bugs

* make style and fix-copies

* add doctests

* skip integration tests

* add is_jieba_available

* fix bugs in common tests

* adjust docstrings and make style

* add argument docstring

* adjust code to some specifications

* make style and fix-copies

* add fast tokenization test

* dummy commit for unit test

* dummy commit for unit test

* dummy commit for unit test

* normalize some comments and names

* Bert->CPMAnt

* camel names and drop redundant codes

* make style and fix-coies

* add CpmTokenizerFast _import_structure

* drop cpmanttokenizerfast in model_doc

* fix some problems

* fix CPMAnt tokenization for common test

* make style and fixup

* fix copies and fixup

* fix bugs in tokenization test

* dummy commit for connection failure in unittest

* fix copies

* drop trailing comma

* fix decorator in tests

* dummy commit for connection failure in unittest

---------
Co-authored-by: Gong Baitao <gongbaitao11@gmail.com>

* [setup] drop deprecated `distutils` usage

* drop deprecated `distutils.util.strtobool` usage

* fix import order

* reformat docstring by `doc-builder`

* time to say goodbye, torch 1.7 and 1.8

* clean up torch_int_div

* clean up is_torch_less_than_1_8-9

* update

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

* refactor: Make direct_import util

* edit direct import fn

* add docstring

* make import function specific to transformers only

* edit doc string

* Remove mentions of flake8/isort

* Clean up inits

* Deall with all other inits

* Last special rule for dummy files

* Removing `more_itertools` dependency.

* Update examples/research_projects/vqgan-clip/requirements.txt

* First draft

* Add initial draft of conversion script

* Convert all weights

* Fix config

* Add image processor

* Fix DetaImageProcessor

* Run make fix copies

* Remove timm dependency

* Fix dummy objects

* Improve loss function

* Remove conv_encoder attribute

* Update conversion scripts

* Improve postprocessing + docs

* Fix copied from statements

* Add tests

* Improve postprocessing

* Improve postprocessing

* Update READMEs

* More improvements

* Fix rebase

* Add is_torchvision_available

* Add torchvision dependency

* Fix typo and README

* Fix bug

* Add copied from

* Fix style

* Apply suggestions

* Fix thanks to @ydshieh

* Fix another dependency check

* Simplify image processor

* Add scipy

* Improve code

* Add threshold argument

* Fix bug

* Set default threshold

* Improve integration test

* Add another integration test

* Update setup.py

* Address review

* Improve deformable attention function

* Improve copied from

* Use relative imports

* Address review

* Replace assertions

* Address review

* Update dummies

* Remove dummies

* Address comments, update READMEs

* Remove custom kernel code

* Add image processor tests

* Add requires_backends

* Add minor comment

* Update scripts

* Update organization name

* Fix defaults, add doc tests

* Add id2label for object 365

* Fix tests

* Update task guide

* [FT] First commit for graphormer architecture.

The model has no tokenizer, as it uses a collator and preprocessing function for its input management.
Architecture to be tested against original one.
The arch might need to be changed to fit the checkpoint, but a revert to the original arch will make the code less nice to read.
TODO: doc

* [FIX] removed test model

* [FIX] import error

* [FIX] black and flake

* [DOC] added paper refs

* [FIX] [DOC]

* [FIX] black

* [DOC] Updated READMEs

* [FIX] Order of imports + rm Tokenizer calls

* [FIX] Moved assert in class to prevent doc build failure

* [FIX] make fix-copies

* [Doc] update from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [FIX] Removed Graphormer from Sequence classification model list

* [DOC] Added HF copyright to Cython file

* [DOC] Fixed comments

* [FIX] typos in class doc + removed config classes.

Todo: update doc from paper definitions

* [FIX] Removed dependency to fairseq, and replaced all asserts with Exception management

* [FIX] Homogeneized initialization of weights to pretrained constructor

* [FIX] [CP] Updated multi_hop parameter to get same results as in original implementation

* [DOC] Relevant parameter description in the configuration file

* [DOC] Updated doc and comments in main graphormer file

* [FIX] make style and quality checks

* [DOC] Fix doc format

* [FIX] [WIP] Updated part of the tests, though still a wip

* [FIX] [WIP]

* [FIX] repo consistency

* [FIX] Changed input names for more understandability

* [FIX] [BUG] updated num_classes params for propagation in the model

* simplified collator

* [FIX] Updated tests to follow new naming pattern

* [TESTS] Updated test suite along with model

* |FIX] rm tokenizer import

* [DOC] add link to graphormerdoc

* Changed section in doc from text model to graph model

* Apply suggestions from code review

Spacing, inits
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [DOC] Explain algos_graphormer functions

* Cython soft import protection

* Rm call to Callable in configuration graphormer

* [FIX] replaced asserts with Exceptions

* Add org to graphormer checkpoints

* Prefixed classes with Graphormer

* Management of init functions

* format

* fixes

* fix length file

* update indent

* relaunching ci

* Errors for missing cython imports

* fix style

* fix style doc
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add XLA torchrun support

* Clarify that currently DDP doesn't work with torch.distributed XLA backend yet

* Enable DDP with torchrun and XLA (now available in PT-XLA 1.13)

* Add check for AWS Neuron availability and AWS Neuron specific compiler flag

* Change the new test's name to TestTrainerDistributedNeuronCore

* Remove "assert" and replace raised exception

* Remove compiler flag as it is optional. If needed, will be another PR.

* Use TORCHELASTIC_RUN_ID to determine whether torchrun is used

* Replaces xxx_required with requires_backends

* Fixup

* 🚧 wip video classification pipeline

* 🚧 wip - add is_decord_available check

* 🐛 add missing import

* ✅ add tests

* 🔧 add decord to setup extras

* 🚧 add is_decord_available

* ✨ add video-classification pipeline

* 📝 add video classification pipe to docs

* 🐛 add missing VideoClassificationPipeline import

* 📌 add decord install in test runner

* ✅ fix url inputs to video-classification pipeline

* ✨ updates from review

* 📝 add video cls pipeline to docs

* 📝 add docstring

* 🔥 remove unused import

* 🔥 remove some code

* 📝 docfix

* Migrate torchdynamo to torch.compile

* Add docstring and generic option

* Properly use the function...

* Reorg args

* add v1 with tests

* add checker

* simplified version

* update docstring

* better version

* fix docstring + change order

* make style

* tests + change conditions

* final tests

* modify docstring

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

* replace by `ValueError`

* fix logic

* apply suggestions

* `dtype` is not needed

* adapt suggestions

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

* add minimal working gpt2 tokenizer

* graph mode and output equivalence tests working

* not today tensorflow. serialization test passing!

* fix style, documentation, docstrings and all that jazz

* passing consistency checks

* move keras nlp to tf dependencies

* fix tf modeling utils and gpt2 attention to enable compiling

* fix (I hope) keras nlp dependencies

* rever changes on generation

* remove debug prints

* remove redundant tf dummy objects

* add from config, get config and max length settings to address review

* let flake ignore the error on distillation you are welcome

* test from config

* add padding test

* address sgugger review

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

* Add DiNAT

* Adds DiNAT + tests

* Minor fixes

* Added HF model

* Add natten to dependencies.

* Cleanup

* Minor fixup

* Reformat

* Optional NATTEN import.

* Reformat & add doc to _toctree

* Reformat (finally)

* Dummy objects for DiNAT

* Add NAT + minor changes

Adds NAT as its own independent model + docs, tests
Adds NATTEN to ext deps to ensure ci picks it up.

* Remove natten from `all` and `dev-torch` deps, add manual pip install to ci tests

* Minor fixes.

* Fix READMEs.

* Requested changes to docs + minor fixes.

* Requested changes.

* Add NAT/DiNAT tests to layoutlm_job

* Correction to Dinat doc.

* Requested changes.

* Add AnyPrecisionAdamW optimizer

* Add optim_args argument to TrainingArgs

* Add tests for AnyPrecisionOptimizer

* Change AnyPrecisionAdam default params to float32

* Move default_anyprecision_kwargs in trainer test

* Rename AnyPrecisionAdamW

* Allow trainer to return loss for CLIP-like models

* Apply suggestions

* update

* update

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

* First draft

* Remove scatter dependency

* Add require_torch

* update vectorized sum test, add clone call

* remove artifacts

* fix style

* fix style v2

* remove "scatter" mentions from the code base

* fix isort error
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Wip

* Add safetensors support for TensorFlow

* First tests

* Add final test for now

* Retrigger CI like this

* Update src/transformers/modeling_tf_utils.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Change the import of kenlm from github to pypi

* Change the import of kenlm from github to pypi in circleci config

* Fix code quality issues

* Fix isort issue, add kenlm in extras for audio

* Add kenlm to deps

* Add kenlm to deps

* Commit 'make fixup' changes

* Remove version from kenlm deps

* commit make fixup changes

* Remove manual installation of kenlm

* Remove manual installation of kenlm

* Remove manual installation of kenlm

* Refactor conversion function

* Remove dupe line

* Fixes

* Fixes

* Use the right variable...

* Fix last test

* Make public versions of private utils

* I need sleep

* Adapt FE methods to transforms library

* Mixin for saving the image processor

* Base processor skeleton

* BatchFeature for packaging image processor outputs

* Initial image processor for GLPN

* REmove accidental import

* Fixup and docs

* Mixin for saving the image processor

* Fixup and docs

* Import BatchFeature from feature_extraction_utils

* Fixup and docs

* Fixup and docs

* Fixup and docs

* Fixup and docs

* BatchFeature for packaging image processor outputs

* Import BatchFeature from feature_extraction_utils

* Import BatchFeature from feature_extraction_utils

* Fixup and docs

* Fixup and docs

* BatchFeature for packaging image processor outputs

* Import BatchFeature from feature_extraction_utils

* Fixup and docs

* Mixin for saving the image processor

* Fixup and docs

* Add rescale back and remove ImageType

* fix import mistake

* Fix enum var reference

* Can transform and specify image data format

* Remove redundant function

* Update reference

* Data format flag for rescale

* Fix typo

* Fix dimension check

* Fixes to make IP and FE outputs match

* Add tests for transforms

* Add test for utils

* Update some docstrings

* Make sure in channels last before converting to PIL

* Remove default to numpy batching

* Fix up

* Add docstring and model_input_types

* Use feature processor config from hub

* Alias GLPN feature extractor to image processor

* Alias feature extractor mixin

* Add return_numpy=False flag for resize

* Fix up

* Fix up

* Use different frameworks safely

* Safely import PIL

* Call function checking if PIL available

* Only import if vision available

* Address Sylvain PR comments
Co-authored-by: Sylvain.gugger@gmail.com

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/image_transforms.py
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>

* Update src/transformers/models/glpn/feature_extraction_glpn.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add in docstrings

* Fix TFSwinSelfAttention to have relative position index as non-trainable weight (#18226)
Signed-off-by: Seunghwan Hong <seunghwan@scatterlab.co.kr>

* Refactor `TFSwinLayer` to increase serving compatibility (#18352)

* Refactor `TFSwinLayer` to increase serving compatibility
Signed-off-by: Seunghwan Hong <seunghwan@scatterlab.co.kr>

* Fix missed parameters while refactoring
Signed-off-by: Seunghwan Hong <seunghwan@scatterlab.co.kr>

* Fix window_reverse to calculate batch size
Signed-off-by: Seunghwan Hong <harrydrippin@gmail.com>
Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add TF prefix to TF-Res test class (#18481)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Remove py.typed (#18485)

* Fix pipeline tests (#18487)

* Fix pipeline tests

* Make sure all pipelines tests run with init changes

* Use new huggingface_hub tools for download models (#18438)

* Draft new cached_file

* Initial draft for config and model

* Small fixes

* Fix first batch of tests

* Look in cache when internet is down

* Fix last tests

* Bad black, not fixing all quality errors

* Make diff less

* Implement change for TF and Flax models

* Add tokenizer and feature extractor

* For compatibility with main

* Add utils to move the cache and auto-do it at first use.

* Quality

* Deal with empty commit shas

* Deal with empty etag

* Address review comments

* Fix `test_dbmdz_english` by updating expected values (#18482)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Move cache folder to huggingface/hub for consistency with hf_hub (#18492)

* Move cache folder to just huggingface

* Thank you VsCode for this needless import

* Move to hub

* Forgot one

* Update some expected values in `quicktour.mdx` for `resampy 0.3.0` (#18484)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Forgot one new_ for cache migration

* disable Onnx test for google/long-t5-tglobal-base (#18454)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Typo reported by Joel Grus on TWTR (#18493)

* Just re-reading the whole doc every couple of months 😬

 (#18489)

* Delete valohai.yaml

* NLP => ML

* typo

* website supports https

* datasets

* 60k + modalities

* unrelated link fixing for accelerate

* Ok those links were actually broken

* Fix link

* Make `AutoTokenizer` auto-link

* wording tweak

* add at least one non-nlp task

* `transformers-cli login` => `huggingface-cli login` (#18490)

* zero chance anyone's using that constant no?

* `transformers-cli login` => `huggingface-cli login`

* `transformers-cli repo create` => `huggingface-cli repo create`

* `make style`

* Add seed setting to image classification example (#18519)

* [DX fix] Fixing QA pipeline streaming a dataset. (#18516)

* [DX fix] Fixing QA pipeline streaming a dataset.

QuestionAnsweringArgumentHandler would iterate over the whole dataset
effectively killing all properties of the pipeline.
This restores nice properties when using `Dataset` or `Generator` since
those are meant to be consumed lazily.

* Handling TF better.

* Clean up hub (#18497)

* Clean up utils.hub

* Remove imports

* More fixes

* Last fix

* update fsdp docs (#18521)

* updating fsdp documentation

* typo fix

* Fix compatibility with 1.12 (#17925)

* Fix compatibility with 1.12

* Remove pin from examples requirements

* Update torch scatter version

* Fix compatibility with 1.12

* Remove pin from examples requirements

* Update torch scatter version

* fix torch.onnx.symbolic_opset12 import

* Reject bad version
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Remove debug statement

* Specify en in doc-builder README example (#18526)
Co-authored-by: Ankur Goyal <ankur@impira.com>

* New cache fixes: add safeguard before looking in folders (#18522)

* unpin resampy (#18527)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* ✨ update to use interlibrary links instead of Markdown (#18500)

* Add example of multimodal usage to pipeline tutorial (#18498)

* 📝 add example of multimodal usage to pipeline tutorial

* 🖍 apply feedbacks

* 🖍

 apply niels feedback

* [VideoMAE] Add model to doc tests (#18523)

* Add videomae to doc tests

* Add pip install decord
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Update perf_train_gpu_one.mdx (#18532)

* Update no_trainer.py scripts to include accelerate gradient accumulation wrapper (#18473)

* Added accelerate gradient accumulation wrapper to run_image_classification_no_trainer.py example script

* make fixup changes

* PR comments

* changed input to Acceletor based on PR comment, ran make fixup

* Added comment explaining the sync_gradients statement

* Fixed lr scheduler max steps

* Changed run_clm_no_trainer.py script to use accelerate gradient accum wrapper

* Fixed all scripts except wav2vec2 pretraining to use accelerate gradient accum wrapper

* Added accelerate gradient accum wrapper for wav2vec2_pretraining_no_trainer.py script

* make fixup and lr_scheduler step inserted back into run_qa_beam_search_no_trainer.py

* removed changes to run_wav2vec2_pretraining_no_trainer.py script and fixed using wrong constant in qa_beam_search_no_trainer.py script

* Add Spanish translation of converting_tensorflow_models.mdx (#18512)

* Add file in spanish docs to be translated

* Finish translation to Spanish

* Improve Spanish  wording

* Add suggested changes from review

* Spanish translation of summarization.mdx (#15947) (#18477)

* Add Spanish translation of summarization.mdx

* Apply suggestions from code review
Co-authored-by: Omar U. Espejel <espejelomar@gmail.com>
Co-authored-by: Omar U. Espejel <espejelomar@gmail.com>

* Let's not cast them all (#18471)

* add correct dtypes when checking for params dtype

* forward contrib credits

* Update src/transformers/modeling_utils.py
Co-authored-by: Thomas Wang <24695242+thomasw21@users.noreply.github.com>

* more comments

- added more comments on why we cast only floating point parameters

* Update src/transformers/modeling_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: sgugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Thomas Wang <24695242+thomasw21@users.noreply.github.com>

* fix: data2vec-vision Onnx ready-made configuration. (#18427)

* feat: add the data2vec conf that are missing https://huggingface.co/docs/transformers/serialization



* fix: wrong config

* Add mt5 onnx config (#18394)

* update features

* MT5OnnxConfig added with updated with tests and docs

* fix imports

* fix onnc_config_cls for mt5

Co-authored-by: Thomas Chaigneau <thomas.deeptools.ai>

* Minor update of `run_call_with_unpacked_inputs` (#18541)
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* BART - Fix attention mask device issue on copied models (#18540)

* attempt to fix attn mask device

* fix bart `_prepare_decoder_attention_mask`

- add correct device
- run `make fix-copies` to propagate the fix

* Adding a new `align_to_words` param to qa pipeline. (#18010)

* Adding a new `align_to_words` param to qa pipeline.

* Update src/transformers/pipelines/question_answering.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Import protection.
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* 📝

 update metric with evaluate (#18535)

* Restore _init_weights value in no_init_weights (#18504)

* Recover _init_weights value in no_init_weights

For potential nested use. 
In addition, users might modify private no_init_weights as well.

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Remove private variable change check
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Clean up comment

* 📝

 update documentation build section (#18548)

* `bitsandbytes` - `Linear8bitLt` integration into `transformers` models (#17901)

* first commit

* correct replace function

* add final changes

- works like charm!
- cannot implement tests yet
- tested

* clean up a bit

* add bitsandbytes dependencies

* working version

- added import function
- added bitsandbytes utils file

* small fix

* small fix

- fix import issue

* fix import issues

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* refactor a bit

- move bitsandbytes utils to utils
- change comments on functions

* reformat docstring

- reformat docstring on init_empty_weights_8bit

* Update src/transformers/__init__.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* revert bad formatting

* change to bitsandbytes

* refactor a bit

- remove init8bit since it is useless

* more refactoring

- fixed init empty weights issue
- added threshold param

* small hack to make it work

* Update src/transformers/modeling_utils.py

* Update src/transformers/modeling_utils.py

* revmoe the small hack

* modify utils file

* make style + refactor a bit

* create correctly device map

* add correct dtype for device map creation

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* apply suggestions

- remove with torch.grad
- do not rely on Python bool magic!

* add docstring

 - add docstring for new kwargs

* add docstring

- comment `replace_8bit_linear` function
- fix weird formatting

* - added more documentation
- added new utility function for memory footprint tracking
- colab demo to add

* few modifs

- typo doc
- force cast into float16 when load_in_8bit is enabled

* added colab link

* add test architecture + docstring a bit

* refactor a bit testing class

* make style + refactor a bit

* enhance checks

- add more checks
- start writing saving test

* clean up a bit

* male style

* add more details on doc

* add more tests

- still needs to fix 2 tests

* replace by "or"

- could not fix it from GitHub GUI
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* refactor a bit testing code + add readme

* make style

* fix import issue

* Update src/transformers/modeling_utils.py
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* add few comments

* add more doctring + make style

* more docstring

* raise error when loaded in 8bit

* make style

* add warning if loaded on CPU

* add small sanity check

* fix small comment

* add bitsandbytes on dockerfile

* Improve documentation

- improve documentation from comments

* add few comments

* slow tests pass on the VM but not on the CI VM

* Fix merge conflict

* make style

* another test should pass on a multi gpu setup

* fix bad import in testing file

* Fix slow tests

- remove dummy batches
- no more CUDA illegal memory errors

* odify dockerfile

* Update docs/source/en/main_classes/model.mdx

* Update Dockerfile

* Update model.mdx

* Update Dockerfile

* Apply suggestions from code review

* few modifications

- lm head can stay on disk/cpu
- change model name so that test pass

* change test value

- change test value to the correct output
- torch bmm changed to baddmm in bloom modeling when merging

* modify installation guidelines

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* replace `n`by `name`

* merge `load_in_8bit` and `low_cpu_mem_usage`

* first try - keep the lm head in full precision

* better check

- check the attribute `base_model_prefix` instead of computing the number of parameters

* added more tests

* Update src/transformers/utils/bitsandbytes.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Merge branch 'integration-8bit' of https://github.com/younesbelkada/transformers

 into integration-8bit

* improve documentation

- fix typos for installation
- change title in the documentation
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* TF: XLA-trainable DeBERTa v2 (#18546)

* fix deberta issues

* add different code paths for gpu and tpu

* shorter gpu take along axis

* Stable Dropout without tf cond

* variable must be float

* Preserve hub-related kwargs in AutoModel.from_pretrained (#18545)

* Preserve hub-related kwargs in AutoModel.from_pretrained

* Fix tests

* Remove debug statement

* TF Examples Rewrite (#18451)

* Finished QA example

* Dodge a merge conflict

* Update text classification and LM examples

* Update NER example

* New Keras metrics WIP, fix NER example

* Update NER example

* Update MC, summarization and translation examples

* Add XLA warnings when shapes are variable

* Make sure batch_size is consistently scaled by num_replicas

* Add PushToHubCallback to all models

* Add docs links for KerasMetricCallback

* Add docs links for prepare_tf_dataset and jit_compile

* Correct inferred model names

* Don't assume the dataset has 'lang'

* Don't assume the dataset has 'lang'

* Write metrics in text classification

* Add 'framework' to TrainingArguments and TFTrainingArguments

* Export metrics in all examples and add tests

* Fix training args for Flax

* Update command line args for translation test

* make fixup

* Fix accidentally running other tests in fp16

* Remove do_train/do_eval from run_clm.py

* Remove do_train/do_eval from run_mlm.py

* Add tensorflow tests to circleci

* Fix circleci

* Update examples/tensorflow/language-modeling/run_mlm.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update examples/tensorflow/test_tensorflow_examples.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update examples/tensorflow/translation/run_translation.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update examples/tensorflow/token-classification/run_ner.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Fix save path for tests

* Fix some model card kwargs

* Explain the magical -1000

* Actually enable tests this time

* Skip text classification PR until we fix shape inference

* make fixup
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Use commit hash to look in cache instead of calling head (#18534)

* Use commit hash to look in cache instead of calling head

* Add tests

* Add attr for local configs too

* Stupid typos

* Fix tests

* Update src/transformers/utils/hub.py
Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Address Julien's comments
Co-authored-by: Julien Chaumond <julien@huggingface.co>

* `pipeline` support for `device="mps"` (or any other string) (#18494)

* `pipeline` support for `device="mps"` (or any other string)

* Simplify `if` nesting

* Update src/transformers/pipelines/base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fix? @sgugger

* passing `attr=None` is not the same as not passing `attr` 🤯
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update philosophy to include other preprocessing classes (#18550)

* 📝 update philosophy to include other preprocessing classes

* 🖍

 apply feedbacks

* Properly move cache when it is not in default path (#18563)

* Adds CLIP to models exportable with ONNX (#18515)

* onnx config for clip

* default opset as 14

* changes from the original repo

* input values order fix

* outputs fix

* remove unused import

* ran make fix-copies

* black format

* review comments: forward ref, import fix, model change revert, .to cleanup

* make style

* formatting fixes

* revert groupvit

* comment for cast to int32

* comment fix

* make .T as .t() for onnx conversion

* ran make fix-copies

* remove unneeded comment
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix copies

* remove comment
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* raise atol for MT5OnnxConfig (#18560)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix string (#18568)

* Segformer TF: fix output size in documentation (#18572)

* Segformer TF: fix output size in doc

* Segformer pytorch: fix output size in doc
Co-authored-by: Maxime Gardoni <maxime.gardoni@ecorobotix.com>

* Fix resizing bug in OWL-ViT (#18573)

* Fixes resizing bug in OWL-ViT
* Defaults to square resize if size is set to an int
* Sets do_center_crop default value to False

* Fix LayoutLMv3 documentation (#17932)

* fix typos

* fix sequence_length docs of LayoutLMv3Model

* delete trailing white spaces

* fix layoutlmv3 docs more

* apply make fixup & quality

* change to two versions of input docstring

* apply make fixup & quality

* Skip broken tests

* Change BartLearnedPositionalEmbedding's forward method signature to support Opacus training (#18486)

* changing BartLearnedPositionalEmbedding forward signature and references to it

* removing debugging dead code (thanks style checker)

* blackened modeling_bart file

* removing copy inconsistencies via make fix-copies

* changing references to copied signatures in Bart variants

* make fix-copies once more

* using expand over repeat (thanks @michaelbenayoun)

* expand instead of repeat for all model copies
Co-authored-by: Daniel Jones <jonesdaniel@microsoft.com>

* german docs translation (#18544)

* Create _config.py

* Create _toctree.yml

* Create index.mdx

not sure about "du / ihr" oder "sie"

* Create quicktour.mdx

* Update _toctree.yml

* Update build_documentation.yml

* Update build_pr_documentation.yml

* fix build

* Update index.mdx

* Update quicktour.mdx

* Create installation.mdx

* Update _toctree.yml

* Deberta V2: Fix critical trace warnings to allow ONNX export (#18272)

* Fix critical trace warnings to allow ONNX export

* Force input to `sqrt` to be float type

* Cleanup code

* Remove unused import statement

* Update model sew

* Small refactor
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* Use broadcasting instead of repeat

* Implement suggestion
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* Match deberta v2 changes in sew_d

* Improve code quality

* Update code quality

* Consistency of small refactor

* Match changes in sew_d
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* [FX] _generate_dummy_input supports audio-classification models for labels (#18580)

* Support audio classification architectures for labels generation, as well as provides a flag to print warnings or not

* Use ENV_VARS_TRUE_VALUES

* Fix docstrings with last version of hf-doc-builder styler (#18581)

* Fix docstrings with last version of hf-doc-builder styler

* Remove empty Parameter block

* Bump nbconvert from 6.0.1 to 6.3.0 in /examples/research_projects/lxmert (#18565)

Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 6.0.1 to 6.3.0.
- [Release notes](https://github.com/jupyter/nbconvert/releases)
- [Commits](https://github.com/jupyter/nbconvert/compare/6.0.1...6.3.0

)

---
updated-dependencies:
- dependency-name: nbconvert
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Bump nbconvert in /examples/research_projects/visual_bert (#18566)

Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 6.0.1 to 6.3.0.
- [Release notes](https://github.com/jupyter/nbconvert/releases)
- [Commits](https://github.com/jupyter/nbconvert/compare/6.0.1...6.3.0

)

---
updated-dependencies:
- dependency-name: nbconvert
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* fix owlvit tests, update docstring examples (#18586)

* Return the permuted hidden states if return_dict=True (#18578)

* Load sharded pt to flax (#18419)

* initial commit

* add small test

* add cross pt tf flag to test

* fix quality

* style

* update test with new repo

* fix failing test

* update

* fix wrong param ordering

* style

* update based on review

* update related to recent new caching mechanism

* quality

* Update based on review
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* quality and style

* Update src/transformers/modeling_flax_utils.py
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add type hints for ViLT models (#18577)

* Add type hints for Vilt models

* Add missing return type for TokenClassification class

* update doc for perf_train_cpu_many, add intel mpi introduction (#18576)

* update doc for perf_train_cpu_many, add mpi introduction
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* Update docs/source/en/perf_train_cpu_many.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/en/perf_train_cpu_many.mdx
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* typos (#18594)

* FSDP bug fix for `load_state_dict` (#18596)

* Add `TFAutoModelForSemanticSegmentation` to the main `__init__.py` (#18600)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Generate: validate `model_kwargs` (and catch typos in generate arguments) (#18261)

* validate generate model_kwargs

* generate tests -- not all models have an attn mask

* Supporting seq2seq models for `bitsandbytes` integration (#18579)

* Supporting seq2seq models for `bitsandbytes` integration

- `bitsandbytes` integration supports now seq2seq models
- check if a model has tied weights as an additional check

* small modification

- tie the weights before looking at tied weights!

* Add Donut (#18488)

* First draft

* Improve script

* Update script

* Make conversion work

* Add final_layer_norm attribute to Swin's config

* Add DonutProcessor

* Convert more models

* Improve feature extractor and convert base models

* Fix bug

* Improve integration tests

* Improve integration tests and add model to README

* Add doc test

* Add feature extractor to docs

* Fix integration tests

* Remove register_buffer

* Fix toctree and add missing attribute

* Add DonutSwin

* Make conversion script work

* Improve conversion script

* Address comment

* Fix bug

* Fix another bug

* Remove deprecated method from docs

* Make Swin and Swinv2 untouched

* Fix code examples

* Fix processor

* Update model_type to donut-swin

* Add feature extractor tests, add token2json method, improve feature extractor

* Fix failing tests, remove integration test

* Add do_thumbnail for consistency

* Improve code examples

* Add code example for document parsing

* Add DonutSwin to MODEL_NAMES_MAPPING

* Add model to appropriate place in toctree

* Update namespace to appropriate organization
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Fix URLs (#18604)
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Update BLOOM parameter counts (#18531)

* Update BLOOM parameter counts

* Update BLOOM parameter counts

* [doc] fix anchors (#18591)

the manual anchors end up being duplicated with automatically added anchors and no longer work.

* [fsmt] deal with -100 indices in decoder ids (#18592)

* [fsmt] deal with -100 indices in decoder ids

Fixes: https://github.com/huggingface/transformers/issues/17945



decoder ids get the default index -100, which breaks the model - like t5 and many other models add a fix to replace -100 with the correct pad index. 

For some reason this use case hasn't been used with this model until recently - so this issue was there since the beginning it seems.

Any suggestions to how to add a simple test here? or perhaps we have something similar already? user's script is quite massive.

* style

* small change (#18584)

* Flax Remat for LongT5 (#17994)

* [Flax] Add remat (gradient checkpointing)

* fix variable naming in test

* flip: checkpoint using a method

* fix naming

* fix class naming

* apply PVP's suggestions from code review

* add gradient_checkpointing to examples

* Add gradient_checkpointing to run_mlm_flax

* Add remat to longt5

* Add gradient checkpointing test longt5

* Fix args errors

* Fix remaining tests

* Make fixup & quality fixes

* replace kwargs

* remove unecessary kwargs

* Make fixup changes

* revert long_t5_flax changes

* Remove return_dict and copy to LongT5

* Remove test_gradient_checkpointing
Co-authored-by: sanchit-gandhi <sanchit@huggingface.co>

* mac m1 `mps` integration (#18598)

* mac m1 `mps` integration

* Update docs/source/en/main_classes/trainer.mdx
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* addressing comments

* Apply suggestions from code review
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* resolve comment
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* Change scheduled CIs to use torch 1.12.1 (#18644)
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* Add checks for some workflow jobs (#18583)
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* TF: Fix generation repetition penalty with XLA (#18648)

* Update longt5.mdx (#18634)

* Update run_translation_no_trainer.py (#18637)

* Update run_translation_no_trainer.py

found an error in selecting `no_decay` parameters and some small modifications when the user continues to train from a checkpoint

* fixs `no_decay` and `resume_step` issue

1. change `no_decay` list
2. if use continue to train their model from provided checkpoint, the `resume_step` will not be initialized properly if `args.gradient_accumulation_steps != 1`

* [bnb] Minor modifications (#18631)

* bnb minor modifications

- refactor documentation
- add troubleshooting README
- add PyPi library on DockerFile

* Apply suggestions from code review
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* Apply suggestions from code review

* Apply suggestions from code review

* Apply suggestions from code review

* put in one block

- put bash instructions in one block

* update readme

- refactor a bit hardware requirements

* change text a bit

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* apply suggestions
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* add link to paper

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* Update tests/mixed_int8/README.md

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* refactor a bit

* add instructions Turing & Amperer
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* add A6000

* clarify a bit

* remove small part

* Update tests/mixed_int8/README.md
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* Examples: add Bloom support for token classification (#18632)

* examples: add Bloom support for token classification (FLAX, PyTorch and TensorFlow)

* examples: remove support for Bloom in token classication (FLAX and TensorFlow currently have no support for it)

* Fix Yolos ONNX export test (#18606)
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* Fixup

* Fix up

* Move PIL default arguments inside function for safe imports

* Add image utils to toctree

* Update `rescale` method to reflect changes in #18677

* Update docs/source/en/internal/image_processing_utils.mdx
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* Address Niels PR comments

* Apply suggestions from code review - remove defaults to None
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* Fix docstrings and revert to PIL.Image.XXX resampling

Use PIL.Image.XXX resampling values instead of PIL.Image.Resampling.XXX enum as it's only in the recent version >= 9.10 and version is not yet pinned and older version support deprecated

* Some more docstrings and PIL.Image tidy up

* Reorganise arguments so flags by modifiers

* Few last docstring fixes
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