GitLab

* 🚧 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

* Automatic detection for framework to use when exporting to ONNX

* Log message change

* Incorporating PR comments, adding unit test

* Adding tf for pip install for run_tests_onnxruntime CI

* Restoring past changes to circleci yaml and test_onnx_v2.py, tests moved to tests/onnx/test_features.py

* Fixup

* Adding test to fetcher

* Updating circleci config to log more

* Changing test class name

* Comment typo fix in tests/onnx/test_features.py
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Moving torch_str/tf_str to self.framework_pt/tf

* Remove -rA flag in circleci config
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

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

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

* 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>

* 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>

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

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

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

* Add script to sort doc ToC

* Style and fixes

* Add check to quality job

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

* Make forward pass work

* More improvements

* Remove unused imports

* Remove timm dependency

* Improve loss calculation of token classifier

* Fix most tests

* Add docs

* Add model integration test

* Make all tests pass

* Add LayoutLMv3FeatureExtractor

* Improve integration test + make fixup

* Add example script

* Fix style

* Add LayoutLMv3Processor

* Fix style

* Add option to add visual labels

* Make more tokenizer tests pass

* Fix more tests

* Make more tests pass

* Fix bug and improve docs

* Fix import of processors

* Improve docstrings

* Fix toctree and improve docs

* Fix auto tokenizer

* Move tests to model folder

* Move tests to model folder

* change default behavior add_prefix_space

* add prefix space for fast

* add_prefix_spcae set to True for Fast

* no space before `unique_no_split` token

* add test to hightligh special treatment of added tokens

* fix `test_batch_encode_dynamic_overflowing` by building a long enough example

* fix `test_full_tokenizer` with add_prefix_token

* Fix tokenizer integration test

* Make the code more readable

* Add tests for LayoutLMv3Processor

* Fix style

* Add model to README and update init

* Apply suggestions from code review

* Replace asserts by value errors

* Add suggestion by @ducviet00

* Add model to doc tests

* Simplify script

* Improve README

* a step ahead to fix

* Update pair_input_test

* Make all tokenizer tests pass - phew

* Make style

* Add LayoutLMv3 to CI job

* Fix auto mapping

* Fix CI job name

* Make all processor tests pass

* Make tests of LayoutLMv2 and LayoutXLM consistent

* Add copied from statements to fast tokenizer

* Add copied from statements to slow tokenizer

* Remove add_visual_labels attribute

* Fix tests

* Add link to notebooks

* Improve docs of LayoutLMv3Processor

* Fix reference to section
Co-authored-by: SaulLu <lucilesaul.com@gmail.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Automatically sort auto mappings

* Better class extraction

* Some auto class magic

* Adapt test and underlying behavior

* Remove re-used config

* Quality

* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black

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

- Adds auto_batch_size finder 
- Moves training loop to an inner training loop

* Skip RoFormer ONNX test if rjieba not installed

* Update deps table

* Skip RoFormer serialization test

* Fix RoFormer vocab

* Add rjieba to CircleCI

* 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>

* Clean up setup.py

* Trigger CI

* Upgrade Python used

* Add the check

* add missing ckpts

* add a list to ignore

* call the added check script

* better regex pattern
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add low_cpu_mem_usage tests

* wip: revamping

* wip

* install /usr/bin/time

* wip

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* fix assert

* put the wrapper back

* cleanup; switch to bert-base-cased

* Trigger CI

* Trigger CI