GitLab

* Add option to add flax

* Add flax template for __init__.py

* Add flax template for .rst

* Copy TF modeling template

* Add a missing line in modeling_tf_... template

* Update first half of modeling_flax_..

* Update encoder flax template

* Copy test_modeling_tf... as test_modeling_flax...

* Replace some TF to Flax in test_modeling_flax_...

* Replace tf to np

some function might not work, like _assert_tensors_equal

* Replace remaining tf to np (might not work)

* Fix cookiecutter

* Add Flax in to_replace_... template

* Update transformers-cli add-new-model

* Save generate_flax in configuration.json

This will be read by transformers-cli

* Fix to_replace_... and cli

* Fix replace cli

* Fix cookiecutter name

* Move docstring earlier to avoid not defined error

* Fix a missing Module

* Add encoder-decoder flax template from bart

* Fix flax test

* Make style

* Fix endif

* Fix replace all "utf-8 -> unp-8"

* Update comment

* Fix flax template (add missing ..._DOCSTRING)

* Use flax_bart imports in template (was t5)

* Fix unp

* Update templates/adding_a_new_model/tests

* Revert "Fix unp"

This reverts commit dc9002a41d902c4f9b07343eab1cb350c8b7fd57.

* Remove one line of copied from to suppress CI error

* Use generate_tensorflow_pytorch_and_flax

* Add a missing part

* fix typo

* fix flax config

* add examples for flax

* small rename

* correct modeling imports

* correct auto loading

* corrects some flax tests

* correct small typo

* correct as type

* finish modif

* correct more templates

* final fixes

* add file testers

* up

* make sure tests match template regex

* correct pytorch

* correct tf

* correct more tf

* correct imports

* minor error

* minor error

* correct init

* more fixes

* correct more flax tests

* correct flax test

* more fixes

* correct docs

* update

* fix
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* correct

* also comment out multi-gpu test push

* up

* finish

* Apply suggestions from code review

* apply Lysandres suggestions

* adapt circle ci as well

* finish

* Update setup.py

* Continue on error

* Specific

* Temporary patch

* Only report failures on failures

* Fix typo

* Put it everywhere

* Reactive test fecthers on scheduled test with proper git install

* Proper fetch-depth

* Doctests

* Limit to 4 decimals

* Try with separate PT/TF tests

* Remove test for TF

* Ellips the predictions

* Doctest continue on failure
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* Install git

* Add TF tests

* And last TF test

* Add in commented code too
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* Use test fetcher for push tests as well

* Force diff with last commit for circleCI on master

* Fix syntax error

* Style

* Schedule nightly tests

* Initial work

* All auto models

* All tf auto models

* All flax auto models

* Tokenizers

* Add feature extractors

* Fix typos

* Fix other typo

* Use the right config

* Remove old mapping names and update logic in AutoTokenizer

* Update check_table

* Fix copies and check_repo script

* Fix last test

* Add back name

* clean up

* Update template

* Update template

* Forgot a )

* Use alternative to fixup

* Fix TF model template

* Address review comments

* Address review comments

* Style

* Global 60-300 seconds timeout

* Add verbose option

* [skip ci] typo

* Support for torch 1.9.0

* Torch scatter for 1.9.0

* Github Actions run on 1.9.0

* fix

* fixes

* add back to scheduled tests

* formatting

* Update integrations.py

* Squash all commits of modeling_detr_v7 branch into one

* Improve docs

* Fix tests

* Style

* Improve docs some more and fix most tests

* Fix slow tests of ViT, DeiT and DETR

* Improve replacement of batch norm

* Restructure timm backbone forward

* Make DetrForSegmentation support any timm backbone

* Fix name of output

* Address most comments by @LysandreJik

* Give better names for variables

* Conditional imports + timm in setup.py

* Address additional comments by @sgugger

* Make style, add require_timm and require_vision to testsé

* Remove train_backbone attribute of DetrConfig, add methods to freeze/unfreeze backbone

* Add png files to fixtures

* Fix type hint

* Add timm to workflows

* Add `BatchNorm2d` to the weight initialization

* Fix retain_grad test

* Replace model checkpoints by Facebook namespace

* Fix name of checkpoint in test

* Add user-friendly message when scipy is not available

* Address most comments by @patrickvonplaten

* Remove return_intermediate_layers attribute of DetrConfig and simplify Joiner

* Better initialization

* Scipy is necessary to get sklearn metrics

* Rename TimmBackbone to DetrTimmConvEncoder and rename DetrJoiner to DetrConvModel

* Make style

* Improve docs and add 2 community notebooks
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

forgot to add the missing `libaio-dev` to this workflow

* Add the ImageClassificationPipeline

* Code review
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* Have `load_image` at the module level
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* fixing tests

* cleanup

* Base move

* Examples reorganization

* Update references

* Put back test data

* Move conftest

* More fixes

* Move test data to test fixtures

* Update path

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address review comments and clean
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Updated stale bot

* Specify issue number

* Remove particular handling of assignees

* Unleash the stalebot

* Remove debug branch