GitLab

* move test model folders (TODO: fix imports and others)

* fix (potentially partially) imports (in model test modules)

* fix (potentially partially) imports (in tokenization test modules)

* fix (potentially partially) imports (in feature extraction test modules)

* fix import utils.test_modeling_tf_core

* fix path ../fixtures/

* fix imports about generation.test_generation_flax_utils

* fix more imports

* fix fixture path

* fix get_test_dir

* update module_to_test_file

* fix get_tests_dir from wrong transformers.utils

* update config.yml (CircleCI)

* fix style

* remove missing imports

* update new model script

* update check_repo

* update SPECIAL_MODULE_TO_TEST_MAP

* fix style

* add __init__

* update self-scheduled

* fix add_new_model scripts

* check one way to get location back

* python setup.py build install

* fix import in test auto

* update self-scheduled.yml

* update slack notification script

* Add comments about artifact names

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

* Fix setters of *_token_id properties of SpecialTokensMixin

* Test setters of common tokens ids

* Move to a separate test checks of setters of tokens ids

* Add independent test for ByT5

* Add Canine test

* Test speech to text

* Split file_utils in several submodules

* Fixes

* Add back more objects

* More fixes

* Who exactly decided to import that from there?

* Second suggestion to code with code review

* Revert wront move

* Fix imports

* Adapt all imports

* Adapt all imports everywhere

* Revert this import, will fix in a separate commit

* Per-folder tests reorganization
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* speed up canine and mluke

* speed up mbart and mbart50 toks

* upload files

* Fix special tokens not correctly tokenized

* Add testing

* Fix

* Fix

* Use user workflows instead of directly assigning variables

* Enable test of fast tokenizers

* Update test of canine tokenizer

Change how "additional_special_tokens" argument in the ".from_pretrained" method of the tokenizer is taken into account (#13056)

* add test

* add change in PretrainedTokenizerBase

* change Luke

* deactivate

* add the possibility to add additional special tokens for M2M100

* format

* add special test for canine

* proposed changes for mbart

* proposed changes for mbart50

* proposed changes for byt5

* proposed changes for canine

* proposed changes for t5

* test fast and slow

* remove comment

* remove comment

* add fast version for all tests

* replace break by continue

* add more comments

* add check to avoid duplicates

* remove comment

* format

* proposed change for wave2vec2

* reverse changes mbart

* uncomment

* format

* First pass

* More progress

* Add support for local attention

* More improvements

* More improvements

* Conversion script working

* Add CanineTokenizer

* Make style & quality

* First draft of integration test

* Remove decoder test

* Improve tests

* Add documentation

* Mostly docs improvements

* Add CanineTokenizer tests

* Fix most tests on GPU, improve upsampling projection

* Address most comments by @dhgarrette

* Remove decoder logic

* Improve Canine tests, improve docs of CanineConfig

* All tokenizer tests passing

* Make fix-copies and fix tokenizer tests

* Fix test_model_outputs_equivalence test

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

* Address some more comments

* Add support for hidden_states and attentions of shallow encoders

* Define custom CanineModelOutputWithPooling, tests pass

* First pass

* More progress

* Add support for local attention

* More improvements

* More improvements

* Conversion script working

* Add CanineTokenizer

* Make style & quality

* First draft of integration test

* Remove decoder test

* Improve tests

* Add documentation

* Mostly docs improvements

* Add CanineTokenizer tests

* Fix most tests on GPU, improve upsampling projection

* Address most comments by @dhgarrette

* Remove decoder logic

* Improve Canine tests, improve docs of CanineConfig

* All tokenizer tests passing

* Make fix-copies and fix tokenizer tests

* Fix test_model_outputs_equivalence test

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

* Address some more comments

* Make conversion script work for Canine-c too

* Fix tokenizer tests

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