GitLab

* fix

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

* Test fetcher v2

* Fix regexes

* Remove sanity check

* Fake modification to OPT

* Fixes some .sep issues

* Remove fake OPT change

* Fake modif for BERT

* Fake modif for init

* Exclude SageMaker tests

* Fix test and remove fake modif

* Fake setup modif

* Fake pipeline modif

* Remove all fake modifs

* Adds options to skip/force tests

* [test-all-models] Fake modif for BERT

* Try this way

* Does the command actually work?

* [test-all-models] Try again!

* [skip circleci] Remove fake modif

* Remove debug statements

* Add the list of important models

* Quality

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

* Address review comments

* Address review comments

* Fix and add test

* Apply suggestions from code review
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Address review comments

---------
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* missing cmake

* more cmake

* Add kernel size to NATTEN's QK arguments.

The new NATTEN 0.14.5 supports PyTorch 2.0, but also adds an additional
argument to the QK operation to allow optional RPBs.

This ends up failing NATTEN tests.

This commit adds NATTEN back to circleci and adds the arguments to get
it working again.

* Force NATTEN >= 0.14.5

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

* py38 + torch 2

* increment cache versions

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

upgrade to large VM
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Mark pipeline tests to skip them easily

* Mark the mixin as pipeline test

* Update src/transformers/testing_utils.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

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Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Add an utility file to get information from test files

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

* Add a new test to check config attributes being used

* Add a new test to check config attributes being used

* Add a new test to check config attributes being used

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

* Apply suggestions

* Update allowed cases - part 1

* Update allowed cases - part 2

* final

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

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

* 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

* rework pipeline tests

* run pipeline tests

* fix

* fix

* fix

* revert the changes in get_test_pipeline() parameter list

* fix expected error message

* skip a test

* clean up

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

* initial commit. added tip placeholders and a script

* removed unused imports, fixed paths

* fixed generated links

* make style

* split language modeling doc into two: causal language modeling and masked language modeling

* added check_task_guides.py to make fix-copies

* review feedback addressed

* check paths in utils/documentation_tests.txt

* check paths in utils/documentation_tests.txt
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* split tests

* test CI

* add if else
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Avoid null CI

* Avoid null CI

* rename

* more clear error message

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

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

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

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

* 🚧 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

* Fix nightly runs

* Fix type

* Address review comment

* 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.

* Try PT1.13 by removing torch scatter

* Skip failing tests

* Style

* Remvoe testing extras for repo utils

* Try with all decorators

* Try to wipe the cache

* Fix all tests?

* Try this way

* Fix comma

* Update to main

* Try with less deps

* Quality

* Show versions

* check

* store outputs

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

* 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

* Fix nightly CircleCI

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

* Create repo utils test job

* Last occurence

* Add tests for tests_fetcher

* Better filtering

* Let's learn more

* Should fix

* Should fix

* Remove debug

* Style

* WiP

WiP

WiP

WiP

WiP

WiP

WiP

WiP

WiP

* Quality

* address review comments

* Fix link

* Generate config on the file

* Fake modif for all test launch

* Upload more artifacts

* Typo and quality

* Try converting th yml to txt

* Leave my long lines alone yaml

* Debug prints

* Debug prints v2

* Try without sorting

* Was it really working before?

* Typo

* Use a parameter

* Use a parameter?

* Typo

* Here is some JSON

* Another try

* Learning to read...

* Check default is used

* Does this work?

* With continuation

* WiP

* Use a parameter for test list

* Other fake modif

* With the comma

* Name the test step so it doesn't blow up

* Just one example modification

* Final steps

* Add nightlies

* Move config generator

* Add trigger for nightlies

* Better workflow

* Rebase on recent changes

* Fix config creation

* Fake modif in an example

* Now fake modif in one config file

* Fix install step in custom tokenizers test

* Fix generated config

* Better fix hopefully

* Finally test modif in setup

* final cleanup

* Rework pipeline tests

* Try to fix Flax tests

* Try to put it before

* Use a new decorator instead

* Remove ignore marker since it doesn't work

* Filter pipeline tests

* Woopsie

* Use the fitlered list

* Clean up and fake modif

* Remove init

* Revert fake modif

* add sudachipy and jumanpp tokenizers for bert_japanese

* use ImportError instead of ModuleNotFoundError in SudachiTokenizer and JumanppTokenizer

* put test cases of test_tokenization_bert_japanese in one line

* add require_sudachi and require_jumanpp decorator for testing

* add sudachi and pyknp(jumanpp) to dependencies

* remove sudachi_dict_small and sudachi_dict_full from dependencies

* empty commit for ci

* Fix test fetching for examples

* Fake example modif

* Debug statements

* Typo

* You need to persist the file...

* Revert change in example

* Remove debug statements

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

* Tests conditional run

* Syntax

* Deps

* Try early exit

* Another way

* Test with no tests to run

* Test all

* Typo

* Try this way

* With tests to run

* Mostly finished

* Typo

* With a modification in one file only

* No change, no tests

* Final cleanup

* Address review comments

* Fix CI for custom tokenizers

* Add nightly tests

* Run CI, run!

* Fix paths

* Typos

* Fix test

* Automate check for new pipelines and metadata update

* Add Datasets to quality extra