GitLab

* Add new model like command

* Bad doc-styler

* black and doc-styler, stop fighting!

* black and doc-styler, stop fighting!

* At last

* Clean up

* Typo

* Bad doc-styler

* Bad doc-styler

* All good maybe?

* Use constants

* Add doc and type hints

* More cleaning

* Add doc

* Fix Copied from

* Doc template

* Use typing.Pattern instead

* Framework-specific files

* Fixes

* Select frameworks clean model init

* Deal with frameworks in main init

* fixes

* Last fix

* Prompt user for info

* Delete exemple config

* Last fixes

* Add test config

* Fix bug with model_type included in each other

* Fixes

* More fixes

* More fixes

* Adapt config

* Remove print statements

* Will fix tokenization later, leave it broken for now

* Add test

* Quality

* Try this way

* Debug

* Maybe by setting the path?

* Let's try another way

* It should go better when actually passing the arg...

* Remove debug statements and style

* Fix config

* Add tests

* Test require the three backends

* intermediate commit

* Revamp pattern replacements and start work on feature extractors

* Adapt model info

* Finalize code for processors

* Fix in main init additions

* Finish questionnaire for processing classes

* Fix file name

* Fix for real

* Fix patterns

* Style

* Remove needless warnings

* Copied from should work now.

* Include Copied form in blocks

* Add test

* More fixes and tests

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

* Address review comment
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* better

* save intermediate

* finish code

* up

* docs

* Apply suggestions from code review

* up

* add compute transition  beam scores function to model and make sure scores are correct with eos

* apply nicos comments

* Apply suggestions from code review

* another fix

* [LayoutLMV2 Tests] Make sure input is on GPU

* correct empty line

* Refine errors for pretrained objects

* PoC to avoid using get_list_of_files

* Adapt tests to use new errors

* Quality + Fix PoC

* Revert "PoC to avoid using get_list_of_files"

This reverts commit cb93b7cae8504ef837c2a7663cb7955e714f323e.

* Revert "Quality + Fix PoC"

This reverts commit 3ba6d0d4ca546708b31d355baa9e68ba9736508f.

* Fix doc

* Revert PoC

* Add feature extractors

* More tests and PT model

* Adapt error message

* Feature extractor tests

* TF model

* Flax model and test

* Merge flax auto tests

* Add tokenization

* Fix test

* Add missing __spec__ for transformers.models.auto

* Moves the __spec__-test to the UnitTest class

* Adds module_spec to all instances of _LazyModule

* Refactors an old test from pytest to unittest

* Add all files

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

* Updates

* Apply suggestions from review

* Fix failing tests

* Update __init__.py

* Update configuration_swin.py

* Update auto_factory.py

* Fix pytests

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

* Fix tests and default checkpoint

* Fix Recursion error

* Code quality

* Remove copied from

* Update modeling_swin.py

* Code quality

* Update modeling_swin.py

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

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

* Apply suggestions from code review

* Fix feature extractor

* Fix code quality

* 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>

* Apply suggestions from code review

* Update configuration_swin.py

* Update default checkpoint

* 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 docs/source/model_doc/swin.mdx
Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu>

* Update conversion script

* Reformat conversion script
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu>

* Fixes tf_default_data_collator sometimes guessing the wrong dtype for labels

* Add test for numpy scalar inputs

Fix usage of additional kwargs in `from_encoder_decoder_pretrained` in encoder-decoder models (#15056)

* [EncoderDecoder] Add test for usage of extra kwargs

* [EncoderDecoder] Fix usage of extra kwargs in from pretrained

* [EncoderDecoder] apply suggested changes (passing **kwargs_encoder)

* [EncoderDecoder] create new test function and make sure it passes
Co-authored-by: jonas <jsnfly@gmx.de>

* [WIP] Make chuking smartly (long files) work on asr ctc_with_lm.

* Slow test with functionality.

* Fixing regular test.

* fix for batch size 1

* Handling batch outside `rescale_Stride`.

- Renamed to `rescale_stride`.

* Disable equality in the test.

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

* First commit

* Add conversion script

* Make conversion script work for base model

* More improvements

* Update conversion script, works for vqa

* Add indexing argument to meshgrid

* Make conversion script work for ViltForPreTraining

* Add ViltForPreTraining to docs

* Fix device issue

* Add processor

* Add MinMaxResize to feature extractor

* Implement call method of ViltProcessor

* Fix tests

* Add integration test

* Add loss calculation for VQA

* Improve tests

* Improve some more tests

* Debug tests

* Small improvements

* Add support for attention_mask

* Remove mask_it

* Add pixel_mask

* Add tests for ViltFeatureExtractor

* Improve tests

* Add ViltForNaturalLanguageVisualReasoning

* Add ViltForNaturalLanguageVisualReasoning to conversion script

* Minor fixes

* Add support for image_embeds, update docstrings to markdown

* Update docs to markdown

* Improve conversion script

* Rename ViltForPreTraining to ViltForMaskedLM

* Improve conversion script

* Convert docstrings to markdown

* Fix code example of retrieval model

* Properly convert masked language model

* Add integration test for nlvr

* Fix code quality

* Apply suggestions from code review

* Add copied from statements

* Fix pretrained_config_archive_map

* Fix docs

* Add model to README

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

* Apply more suggestions from code review

* Make code more readable

* Add ViltForNaturalLanguageVisualReasoning to the tests

* Rename ViltForVisualQuestionAnswering to ViltForQuestionAnswering

* Replace pixel_values_2 by single tensor

* Add hidden_states and attentions

* Fix one more test

* Fix all tests

* Update year

* Fix rebase issues

* Fix another rebase issue

* Remove ViltForPreTraining from auto mapping

* Rename ViltForImageRetrievalTextRetrieval to ViltForImageAndTextRetrieval

* Make it possible to use BertTokenizerFast in the processor

* Use BertTokenizerFast by default

* Rename ViltForNaturalLanguageVisualReasoning, define custom model output
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Remove BertTokenizer abstraction

* Add FastTokenizer to REALM

* Fix config archive map

* Fix copies

* Update realm.mdx

* Apply suggestions from code review

* Rename compute_loss to hf_compute_loss to avoid conflicts with the new Keras method

* make style

* Adding deprecation warning to `compute_loss`

* Fix sneaky reference to compute_loss

* Replace logger.warning with warnings.warn

* Clarifying warning and deprecation timeline

* feature: enable tqdm toggle

* test: add tqdm unit test

* style: run linter

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

* refactor: use tiny model, run linter

* docs: add tqdm to logging

* docs: add tqdm reference to `http_get`

* style: run linter

* Update docs/source/main_classes/logging.mdx
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* fix: use `AutoConfig` for framework agnostic testing

* chore: mv tqdm test to `test_logging.py`

* feature: implement enable/disable functions

* docs: mv docstring to comment

* chore: mv tqdm functions to `logging.py`

* docs: update docs to reference `enable/disable` funcs

* test: update test to use `enable/disable` func

* chore: update function reference in comment
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* First draft

* More improvements

* More improvements

* More improvements

* Fix embeddings

* Add conversion script

* Finish conversion script

* More improvements

* Fix forward pass

* Remove print statements

* Add weights initialization

* Add initialization of decoder weights

* Add support for other models in the conversion script

* Fix patch_size for huge model

* Fix most of the tests

* Fix integration test

* Fix docs

* Fix archive_list

* Apply suggestions from code review

* Improve documentation

* Apply more suggestions

* Skip some tests due to non-deterministic behaviour

* Fix test_initialization

* Remove unneccessary initialization of nn.Embedding

* Improve docs

* Fix dummies

* Remove ViTMAEFeatureExtractor from docs

* Add model to README and table of contents

* Delete inference file

* [ASR pipeline] correct with lm pipeline

* improve error

* Fix deprecation warnings for int div
Co-authored-by: mgoldey <matthew.goldey@gmail.com>

* Fix import

* ensure that tensor output is python scalar

* make backward compatible

* make code more readable

* adapt test functions
Co-authored-by: mgoldey <matthew.goldey@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* REALM initial commit

* Retriever OK (Update new_gelu).

* Encoder prediction score OK

* Encoder pretrained model OK

* Update retriever comments

* Update docs, tests, and imports

* Prune unused models

* Make embedder as a module `RealmEmbedder`

* Add RealmRetrieverOutput

* Update tokenization

* Pass all tests in test_modeling_realm.py

* Prune RealmModel

* Update docs

* Add training test.

* Remove completed TODO

* Style & Quality

* Prune `RealmModel`

* Fixup

* Changes:
1. Remove RealmTokenizerFast
2. Update docstrings
3. Add a method to RealmTokenizer to handle candidates tokenization.

* Fix up

* Style

* Add tokenization tests

* Update `from_pretrained` tests

* Apply suggestions

* Style & Quality

* Copy BERT model

* Fix comment to avoid docstring copying

* Make RealmBertModel private

* Fix bug

* Style

* Basic QA

* Save

* Complete reader logits

* Add searcher

* Complete searcher & reader

* Move block records init to constructor

* Fix training bug

* Add some outputs to RealmReader

* Add finetuned checkpoint variable names parsing

* Fix bug

* Update REALM config

* Add RealmForOpenQA

* Update convert_tfrecord logits

* Fix bugs

* Complete imports

* Update docs

* Update naming

* Add brute-force searcher

* Pass realm model tests

* Style

* Exclude RealmReader from common tests

* Fix

* Fix

* convert docs

* up

* up

* more make style

* up

* upload

* up

* Fix

* Update src/transformers/__init__.py

* adapt testing

* change modeling code

* fix test

* up

* up

* up

* correct more

* make retriever work

* update

* make style

* finish main structure

* Resolve merge conflict

* Make everything work

* Style

* Fixup

* Fixup

* Update training test

* fix retriever

* remove hardcoded path

* Fix

* Fix modeling test

* Update model links

* Initial retrieval test

* Fix modeling test

* Complete retrieval tests

* Fix

* style

* Fix tests

* Fix docstring example

* Minor fix of retrieval test

* Update license headers and docs

* Apply suggestions from code review

* Style

* Apply suggestions from code review

* Add an example to RealmEmbedder

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

* `is_ctc` needs to be updated to `self.type == "ctc".

* Adding fast test for this functionality.

* 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