GitLab

[Json configs] Make json prettier for all saved tokenizer files & ensure same json format for all processors (tok + feat_extract) (#17457)

* [Json dump] Make json prettier

* correct more tokenizeirs

* more patterns

* add aggressive test

* the aggressive test was actually useful :-)

* more tests

* Apply suggestions from code review

* Accumulate tokens into batches in PreTrainedTokenizerBase.add_tokens()

For tokenizers with a small number of special tokens or special tokens
with consecutive token IDs, this reduces the time complexity of creating
the trie from quadratic to linear, see also #16936.

* Extend explanation of batching added tokens

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

* Add onnx configuration for xlm

* Add supported features for xlm

* Add xlm to models exportable with onnx

* Add xlm architecture to test file

* Modify docs

* Make code quality fixes

* Fix offload to disk for big models

* Add test

* Fix test for other models

* TF GPT-2 now properly works with left padding

* throw a warning when eos token == pad token and there is no attention mask

* Support for Bart and LayoutLM, and partial support for XLNet

* Support for mbart

* A lot of new models supported

* Support for other models

* LayoutLM fix

* Use strings instead of classes

fix #17397

* Support compilation via Torchdynamo, AOT Autograd, NVFuser

* Address comments

* Lint

* Stas comments - missing quality test

* Lintere

* Quality test

* Doc lint

* Reset CUDA peak mem

* Add CustomTrainer

* require a single gpu
Co-authored-by: Stas Bekman <stas@stason.org>

* initial

* first try

* working 20B

* 20B tokenizers

* Docs

* Import fixes for missing classes

* Update docs, fixup

* black formatting

* isort

* flake

* dummy objects

* documentation

* Documentation yml

* more docs

* tweaks for tests

* tokenization auto

* fix neox tests

* test

* test

* einsum

* address PR feedback

* Documentation

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

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

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

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

* Remove undefined LaTeX syntax

* Update to full url to avoid confusion about if that's supposed to refer to the Hub

* fix auto

* move tests

* documentation fix

* more doc fixes

* test refactor

* fix import

* fix import

* fix import

* fix import

* fix import

* style fixes

* More modeling fixes
Co-authored-by: Jason Phang <zp489@gr057.hpc.nyu.edu>
Co-authored-by: Stella Biderman <stellabiderman@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Enablign `imageGPT` auto feature extractor.
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Small updates.

* Update after rebase to use `input_ids` instead of `pixel_values`.
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>

* Initial work

* More or less finished with first draft

* Update src/transformers/modeling_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

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

* Fix randomly initialized weights

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

* Address review comments

* Rename DeepSpeed folder to temporarily fix the test issue?

* Revert to try if Accelerate fix works

* Use latest Accelerate release

* Quality and fixes

* Style

* Quality

* Add doc

* Test + fix

* More blocks
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Fix torch.jit.script and pickling issues

* Fix get_attr issues

* Fix import in function

* Fix GPT-J and T5 tracing for torch=1.11

* Gate graph surgery on torch version

* Modeling minor changes to enable TorchScripting

* Model serialization / deserialization test

* Remove _assert_is_none users

Callback function `on_train_end` crashed if Comet ML integration was
used but `COMET_MODE` set to `DISABLE`

* add inference example to LayoutLMv2ForQuestionAnswering, passing doctest

* add loss example to LayoutLMv2ForQuestionAnswering, passing doctest

* Add correct doctest for LayoutLMv2ForTokenClassification, passing doctest

* add correct doctest for LayoutLMv2ForSequenceClassification, passing test

* add correct doctest for LayoutLMv2Model, passing test

* make fixup

* fix to address review comments

* make style

* fix doctest line break issue, add to documentaiton_tests.txt, address review comments

* move comment about layoutlmv2 dependencies to the doc page

* format doc page as suggested
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* Pin dill for now

* Try this version?

* force install

* Actually use dep in testing

* Try a larger pin

* [Draft] fix transition probs

* up

* up

* up

* make it work

* fix

* finish

* update

* [OPT] Run test only in half precision

* up

* up

* up

* up

* finish

* fix on GPU

* Update tests/models/opt/test_modeling_opt.py

* [BC] Fixing usage of text pairs

The BC is actually preventing users from misusing the pipeline since
users could have been willing to send text pairs and the pipeline would
instead understand the thing as a batch returning bogus results.

The correct usage of text pairs is preserved in this PR even when that
makes the code clunky.

Adds support for {"text":..,, "text_pair": ...} inputs for both dataset
iteration and more explicit usage to pairs.

* Updating the doc.

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

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

* Update tests/pipelines/test_pipelines_text_classification.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* quality.
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

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

Co-authored-by: Jader Martins <jadermcs94@gmail.com>

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Adding cvt files

* Adding cvt files

* changes in init file

* Adding cvt files

* changes in init file

* Style fixes

* Address comments from code review

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

* Format lists in docstring

* Fix copies

* Apply suggestion from code review
Co-authored-by: AnugunjNaman <anugunjjha@gmail.com>
Co-authored-by: Ayushman Singh <singhayushman13@protonmail.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Accepting real pytorch device as arguments.

* is_torch_available.

* fix init

* Apply suggestions from code review

* fix

* finish

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

* added type hints to prophetnet

* reformatted with black

* fix bc black misformatted some parts

* fix imports

* fix imports

* Update src/transformers/models/prophetnet/configuration_prophetnet.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* update OPTIONAL type hint and docstring
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>