GitLab

* Deberta_v2 tf

* added new line at the end of file, make style

* +V2, typo

* remove never executed branch of code

* rm cmnt and fixed typo in url filter

* cleanup according to review comments

* added #Copied from

* Add GPT2ForTokenClassification

* Fix dropout exception for GPT2 NER

* Remove sequence label in test

* Change TokenClassifierOutput to TokenClassifierOutputWithPast

* Fix for black formatter

* Remove dummy

* Update docs for GPT2ForTokenClassification

* Fix check_inits ci fail

* Update dummy_pt_objects after make fix-copies

* Remove TokenClassifierOutputWithPast

* Fix tuple input issue
Co-authored-by: danielsejong55@gmail.com <danielsejong55@gmail.com>

* Incorporate tests dependencies in tests_fetcher

* Harder modif

* Debug

* Loop through all files

* Last modules

* Remove debug statement

* Use DS callable API to allow hf_scheduler + ds_optimizer

* Preserve backward-compatibility

* Restore backward compatibility

* Tweak arg positioning

* Tweak arg positioning

* bump the required version

* Undo indent

* Update src/transformers/trainer.py

* style
Co-authored-by: Stas Bekman <stas@stason.org>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* added missing __spec__ to _LazyModule

* test __spec__ is not None after module import

* changed module_spec arg to be optional in _LazyModule

* fix style issue

* added module spec test to test_file_utils

* Fix AutoTokenizer when a tokenizer has no fast version

* Add test

* albert flax

* year -> 2021

* docstring updated for flax

* removed head_mask

* removed from_pt

* removed passing attention_mask to embedding layer

* distilbert-flax

* added missing self

* docs fix

* removed tied kernal extra init

* updated docs

* x -> hidden states

* removed head_mask

* removed from_pt, +FLAX

* updated year

* First commit

* Make style

* Fix dummy objects

* Add Detectron2 config

* Add LayoutLMv2 pooler

* More improvements, add documentation

* More improvements

* Add model tests

* Add clarification regarding image input

* Improve integration test

* Fix bug

* Fix another bug

* Fix another bug

* Fix another bug

* More improvements

* Make more tests pass

* Make more tests pass

* Improve integration test

* Remove gradient checkpointing and add head masking

* Add integration test

* Add LayoutLMv2ForSequenceClassification to the tests

* Add LayoutLMv2ForQuestionAnswering

* More improvements

* More improvements

* Small improvements

* Fix _LazyModule

* Fix fast tokenizer

* Move sync_batch_norm to a separate method

* Replace dummies by requires_backends

* Move calculation of visual bounding boxes to separate method + update README

* Add models to main init

* First draft

* More improvements

* More improvements

* More improvements

* More improvements

* More improvements

* Remove is_split_into_words

* More improvements

* Simply tesseract - no use of pandas anymore

* Add LayoutLMv2Processor

* Update is_pytesseract_available

* Fix bugs

* Improve feature extractor

* Fix bug

* Add print statement

* Add truncation of bounding boxes

* Add tests for LayoutLMv2FeatureExtractor and LayoutLMv2Tokenizer

* Improve tokenizer tests

* Make more tokenizer tests pass

* Make more tests pass, add integration tests

* Finish integration tests

* More improvements

* More improvements - update API of the tokenizer

* More improvements

* Remove support for VQA training

* Remove some files

* Improve feature extractor

* Improve documentation and one more tokenizer test

* Make quality and small docs improvements

* Add batched tests for LayoutLMv2Processor, remove fast tokenizer

* Add truncation of labels

* Apply suggestions from code review

* Improve processor tests

* Fix failing tests and add suggestion from code review

* Fix tokenizer test

* Add detectron2 CI job

* Simplify CI job

* Comment out non-detectron2 jobs and specify number of processes

* Add pip install torchvision

* Add durations to see which tests are slow

* Fix tokenizer test and make model tests smaller

* Frist draft

* Use setattr

* Possible fix

* Proposal with configuration

* First draft of fast tokenizer

* More improvements

* Enable fast tokenizer tests

* Make more tests pass

* Make more tests pass

* More improvements

* Addd padding to fast tokenizer

* Mkae more tests pass

* Make more tests pass

* Make all tests pass for fast tokenizer

* Make fast tokenizer support overflowing boxes and labels

* Add support for overflowing_labels to slow tokenizer

* Add support for fast tokenizer to the processor

* Update processor tests for both slow and fast tokenizers

* Add head models to model mappings

* Make style & quality

* Remove Detectron2 config file

* Add configurable option to label all subwords

* Fix test

* Skip visual segment embeddings in test

* Use ResNet-18 backbone in tests instead of ResNet-101

* Proposal

* Re-enable all jobs on CI

* Fix installation of tesseract

* Fix failing test

* Fix index table

* Add LayoutXLM doc page, first draft of code examples

* Improve documentation a lot

* Update expected boxes for Tesseract 4.0.0 beta

* Use offsets to create labels instead of checking if they start with ##

* Update expected boxes for Tesseract 4.1.1

* Fix conflict

* Make variable names cleaner, add docstring, add link to notebooks

* Revert "Fix conflict"

This reverts commit a9b46ce9afe47ebfcfe7b45e6a121d49e74ef2c5.

* Revert to make integration test pass

* Apply suggestions from @LysandreJik's review

* Address @patrickvonplaten's comments

* Remove fixtures DocVQA in favor of dataset on the hub
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* fix_torch_device_generate_test

* remove @

* wav2vec2 pretraining
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* Add hubert classifier + tests

* Add hubert classifier + tests

* Dummies for all classification tests

* Wav2Vec2 classifier + ER test

* Fix hubert integration tests

* Add hubert IC

* Pass tests for all classification tasks on Hubert

* Pass all tests + copies

* Move models to the SUPERB org

* fix_torch_device_generate_test

* remove @

* finish find and replace

* Fixing mbart50 with `return_tensors` argument too.

* Adding mbart50 tokenization tests.

* Moving `zero-shot-classification` pipeline to new testing.

* Cleaning up old mixins.

* Fixing tests
`sshleifer/tiny-distilbert-base-uncased-finetuned-sst-2-english` is
corrupted in PT.

* Adding warning.

* First pass

* Fix docs of bool_masked_pos

* Add integration script

* Fix docstring

* Add integration test for BeitForMaskedImageModeling

* Remove file

* Fix docs

* Moving `translation` pipeline to new testing scheme.

* Update tokenization mbart tests.

* Moving `token-classification` pipeline to new testing.

* Fix tests.

* Moving `text-generation` pipeline to new testing framework.

* Keep check_model_type but log instead of raise Exception.

* warning -> error.

* Moving `summarization` pipeline to new testing format.

* Remove generate_kwargs from __init__ args.

Moving question_answering tests to the new testing scheme. Had to tweak a little some ModelTesterConfig for pipelines. (#13277)

* Moving question_answering tests to the new testing scheme. Had to tweak
a little some ModelTesterConfig for pipelines.

* Removing commented code.

- Enforce `test_small_models_{tf,pt}` methods to exist (enforce checking
actual values in small tests)
- Add support for non RGB image for the pipeline.

* fix tokenizer_class_from_name

* Update src/transformers/models/auto/tokenization_auto.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* add test
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* New test format for conversational.

* Putting back old mixin.

* Re-enabling auto tests with LazyLoading.

* Feature extraction tests.

* Remove feature-extraction.

* Feature extraction with feature_extractor (No pun intended).

* Update check_model_type for fill-mask.

* fix AutoModel.from_pretrained(..., torch_dtype=...)

* fix to_diff_dict

* add better test

* torch is not always available when a model has self.torch_dtype

* make flax gpt2 working with cross attention

* Remove encoder->decoder projection layer

* A draft (incomplete) for FlaxEncoderDecoderModel

* Add the method from_encoder_decoder_pretrained + the docstrings

* Fix the mistakes of using EncoderDecoderModel

* Fix style

* Add FlaxEncoderDecoderModel to the library

* Fix cyclic imports

* Add FlaxEncoderDecoderModel to modeling_flax_auto.py

* Remove question comments

* add tests for FlaxEncoderDecoderModel

* add flax_encoder_decoder to the lists of ignored entries in check_repo.py

* fix missing required positional arguments

* Remove **kwargs when creating FlaxEncoderDecoderModel in from_encoder_decoder_pretrained()

Also fix generation eos/pad tokens issue

* Fix: Use sequences from the generated_output

* Change a check from assert to raise ValueError

* Fix examples and token ids issues

* Fix missing all_cross_attentions when outputting tuple in modeling_gpt2

* Remove the changes in configuration docstrings.

* allow for bert 2 gpt2

* make fix-copies

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

* Change remaining examples to bert2gpt2

* Change the test to Bert2GPT2

* Fix examples

* Fix import

* Fix unpack bug

* Rename to FlaxEncoderDecoderModelTest and change the test to bert2gpt2

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

* Fix: NotImplentedError -> NotImplementedError

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

* up

* finalize
Co-authored-by: ydshieh <ydshieh@user.noreply>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

* Barrier -> barrier

* added logger for metrics

* removed stream handler in trainer

* moved handler

* removed streamhandler from trainer

* updated test image and instance type added datasets version to test

* Update tests/sagemaker/scripts/pytorch/requirements.txt
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Add min and max question length option to the tokenizer

* Add corresponding test

* Update torch.utils.data namespaces to the latest.

* Format

* Update Dataloader.

* Style

* up

* up

* splinter template

* initialize splinter classes

* Splinter Tokenizer

* splinter.rst

* tokenization fixes

* Documentation & some minor variable name changes

* bug fix (added back question_token_id to config) + variable names

* Minor bug fixes + variable name changes

* Fix Splinter references after merge with new transformers

* changes after running make style & quality

* Fix documentation unindent

* Fix doc indentation in tokenization_splinter

* Fix also SplinterTokenizerFast

* Add Splinter to index.rst and README

* Fixdouble whitespace from index.rst

* Fixed index.rst with 'make fix-copies'

* Update docs/source/model_doc/splinter.rst
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Update docs/source/model_doc/splinter.rst
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Update docs/source/model_doc/splinter.rst
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Update docs/source/model_doc/splinter.rst
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Update src/transformers/models/splinter/__init__.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Added "copied from BERT" comments

* Removing unnexessary code from modeling_splinter

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

* Update src/transformers/models/splinter/configuration_splinter.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Remove references to TF modeling from splinter

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

* Remove unnecessary check

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

* Add differences between Splinter and Bert tokenizers

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

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

* Remove unnecessary check

* Doc formatting

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

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

* bug fix: remove load_tf_weights attribute

* Some minor quality changes

* Update docs/source/model_doc/splinter.rst
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/splinter/configuration_splinter.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Change FullyConnectedLayer to SplinterFullyConnectedLayer

* Variable naming

* Reove gather_positions function

* Remove ClassificationHead as it's outdated

* Update src/transformers/models/splinter/modeling_splinter.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Remove hardcoded 102 token id

* Minor style change

* Added "tau" organization to all model identifiers & URLS

* Added tau to the tests as well

* Copy-from comments

* Removed all unnecessary classes (e.g. SplinterForMaskedLM)

* Running make fix-copies

* Bug fix: Further removed unnecessary classes

* Add Splinter to AutoTokenization

* Add an integration test for Splinter

* Removed initialize_new_qass from config - It will be done through different checkpoints

* Removed `initialize_new_qass` from documentation as well

* Added new checkpoint names (`tau/splinter-base-qass` and same for large) in the code

* Minor change to test

* SplinterTokenizer now doesn't abstract from BertTokenizer

* SplinterTokenizerFast also dosn't abstract from Bert

* style and quality

* bug fix: import ing torch in tests only if it's available

* Auto mappings

* Changed copyrights in Splinter's files

* Update src/transformers/models/splinter/configuration_splinter.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: yuvalkirstain <kirstain.yuval@gmail.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Fill mask pipelines test updates.

* Model eval !!

* Adding slow test with actual values.

* Making all tests pass (skipping quite a bit.)

* Doc styling.

* Better doc cleanup.

* Making an explicit test with no pad token tokenizer.

* Typo.