GitLab

* TF Bert inference - support np.ndarray optional arguments

* apply np input tests to all TF architectures

* add new test

* fix in init

* more relevant test

* Add AdamW deprecation warning

* Add --optim to Trainer

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

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

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

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

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

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

* Update src/transformers/training_args.py

* fix style

* fix

* Regroup adamws together
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Change --adafactor to --optim adafactor

* Use Enum for optimizer values

* fixup! Change --adafactor to --optim adafactor

* fixup! Change --adafactor to --optim adafactor

* fixup! Change --adafactor to --optim adafactor

* fixup! Use Enum for optimizer values

* Improved documentation for --adafactor
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Add mention of no_deprecation_warning
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Rename OptimizerOptions to OptimizerNames

* Use choices for --optim

* Move optimizer selection code to a function and add a unit test

* Change optimizer names

* Rename method
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Rename method
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Remove TODO comment
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Rename variable
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Rename variable
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Rename function

* Rename variable

* Parameterize the tests for supported optimizers

* Refactor

* Attempt to make tests pass on CircleCI

* Add a test with apex

* rework to add apex to parameterized; add actual train test

* fix import when torch is not available

* fix optim_test_params when torch is not available

* fix optim_test_params when torch is not available

* re-org

* small re-org

* fix test_fused_adam_no_apex

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

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

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

* Remove .value from OptimizerNames

* Rename optimizer strings s|--adam_|--adamw_|

* Also rename Enum options

* small fix

* Fix instantiation of OptimizerNames. Remove redundant test

* Use ExplicitEnum instead of Enum

* Add unit test with string optimizer

* Change optimizer default to string value
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* refactor: wrap forward pass around no_grad context

* Update tests/test_modeling_distilbert.py

* fix: rm `no_grad` from non-integration tests

* chore: rm whitespace change

* Pipeline ASR with LM.

* Revamped into `self.decoder`.

* Fixing.

* 2nd fix.

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

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

* Initial commit

* Config and modelling changes

Added Nystromformer-specific attributes to config and removed all decoder functionality from modelling.

* Modelling and test changes

Added Nystrom approximation and removed decoder tests.

* Code quality fixes

* Modeling changes and conversion script

Initial commits to conversion script, modeling changes.

* Minor modeling changes and conversion script

* Modeling changes

* Correct modeling, add tests and documentation

* Code refactor

* Remove tokenizers

* Code refactor

* Update __init__.py

* Fix bugs

* Update src/transformers/__init__.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/__init__.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/nystromformer/__init__.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/model_doc/nystromformer.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/nystromformer/configuration_nystromformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/nystromformer/configuration_nystromformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/nystromformer/configuration_nystromformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/nystromformer/configuration_nystromformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/nystromformer/convert_nystromformer_original_pytorch_checkpoint_to_pytorch.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/nystromformer/configuration_nystromformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update modeling and test_modeling

* Code refactor

* .rst to .mdx

* doc changes

* Doc changes

* Update modeling_nystromformer.py

* Doc changes

* Fix copies

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update configuration_nystromformer.py

* Fix copies

* Update tests/test_modeling_nystromformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update test_modeling_nystromformer.py

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

* Fix code style

* Update modeling_nystromformer.py

* Update modeling_nystromformer.py

* Fix code style

* Reformat modeling file

* Update modeling_nystromformer.py

* Modify NystromformerForMultipleChoice

* Fix code quality

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

* Code style changes and torch.no_grad()

* make style

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add IBertOnnxConfig and tests

* add all the supported features for IBERT and remove outputs in IbertOnnxConfig

* use OnnxConfig

* fix codestyle

* remove serialization.rst

* codestyle

* Add test

* Add tests for the reported train loss

* Start the work on TFVisionEncoderDecoderModel

* Expose TFVisionEncoderDecoderModel

* fix import

* Add modeling_tf_vision_encoder_decoder to _ignore_modules in get_model_modules()

* reorder

* Apply the fix for checkpoint loading as in #14016

* remove attention_mask + fix VISION_DUMMY_INPUTS

* A minimal change to make TF generate() work for vision models as encoder in encoder-decoder setting

* fix wrong condition: shape_list(input_ids) == 2

* add tests

* use personal TFViTModel checkpoint (for now)

* Add equivalence tests + projection layer

* style

* make sure projection layer can run

* Add examples

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

* Clean comments (need to work on TODOs for PyTorch models)

* Remove TF -> PT in check_pt_tf_equivalence for TFVisionEncoderDecoderModel

* fixes

* Revert changes in PT code.

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

* Add test_inference_coco_en for TF test

* fix quality

* fix name

* build doc

* add main_input_name

* Fix ckpt name in test

* fix diff between master and this PR

* fix doc

* fix style and quality

* fix missing doc

* fix labels handling

* Delete auto.rst

* Add the changes done in #14016

* fix prefix

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

* make style
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Make OpenAIGPTTokenizer work with SpaCy 3.x

SpaCy 3.x introduced an API change to creating the tokenizer that
breaks OpenAIGPTTokenizer. The old API for creating the tokenizer in
SpaCy 2.x no longer works under SpaCy 3.x, but the new API for creating
the tokenizer in SpaCy 3.x DOES work under SpaCy 2.x. Switching to the
new API should allow OpenAIGPTTokenizer to work under both SpaCy 2.x and
SpaCy 3.x versions.

* Add is_spacy_available and is_ftfy_available methods to file utils

* Add spacy and ftfy unittest decorator to testing utils

* Add tests for OpenAIGPTTokenizer that require spacy and ftfy

* Modify CircleCI config to run tests that require spacy and ftfy

* Remove unneeded unittest decorators are reuse test code

* Run make fixup

* Adding QoL for `batch_size` arg (like others enabled everywhere).

* Typo.

* Hotfix `chunk_length_s` instead of `_ms`.

* Adding fix of `pad_token` which should be last/previous token for CTC

proper decoding

* Fixing ChunkPipeline unwrapping.

* Adding a PackIterator specific test.

* Add FlaxRoFormer

* Clean code + make quality

* Fix output pooling for FlaxRoFormerForMultipleChoiceModule

* Apply suggestions from code review

* add flax model to repos
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* up

* up

* up

* Naive ASR chunking

* Fixing batching for ASR.
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* Enabling `truncation_side` for Slow and Fast tokenizer.
Co-Authored-by: Niels Rogge <48327001+NielsRogge@users.noreply.github.com>

* Disable failing tests.

* Layout xlm.

* assert -> assertEqual.
Co-authored-by: Niels Rogge <48327001+NielsRogge@users.noreply.github.com>

Backward compatibility broken in
https://github.com/huggingface/transformers/pull/14988

* Adding `num_return_sequences` support for text2text generation.
Co-Authored-By: Enze <pu.miao@foxmail.com>

* Update tests/test_pipelines_text2text_generation.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/test_pipelines_text2text_generation.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Enze <pu.miao@foxmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [Generate] correct encoder_outputs are passed without attention_mask

* Apply suggestions from code review

* up

* [AutoProcessor] Correct AutoProcessor and automatically add processor class

* up

* up

* up

* up

* up

* up

* up

* up

* continue tomorrow

* up

* up

* up

* make processor class private

* fix loop

* Fixing a pathological case for slow tokenizers

* Update src/transformers/tokenization_utils.py

* rename classes

* clean up more namings

* remove bogus file

* Apply suggestions from code review

* Apply suggestions from code review

* replace more names

* more regex replace

* make style

* correct

* correct more

* make style

* finish

* correct more in wav2vec2

* make style

* improve freeze_extractor

* add aliases

* add tf aliases

* speed up canine and mluke

* speed up mbart and mbart50 toks

* upload files

* [doc] :class: hunt

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

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

* redo sans examples

* style