GitLab

* 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 import

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

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>

* Fix typo

* Fix copies

* Add MAE to AutoFeatureExtractor

* Add link to notebook

* Fix relative paths

* Remove BertTokenizer abstraction

* Add FastTokenizer to REALM

* Fix config archive map

* Fix copies

* Update realm.mdx

* Apply suggestions from code review

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

* 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>

* fix doc example - MarianForCausalLM example

* try to keep copies

* fix copies

* fix more similar doc examples

* fix more

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

* fix: #14486 do not use BertPooler in DPR

* fix tf dpr as well

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

* fix doc example - NameError: name 'PATH' is not defined

* fix name 'TFRagModel' is not defined

* correct TFRagRagSequenceForGeneration

* fix name 'tf' is not defined

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

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

* Adding fast test for this functionality.

* fix doc example - cannot import name 'UniSpeechSatFeatureEncoder'

* fix ckpt name
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Better dummies

* See if this fixes the issue

* Fix quality

* Style

* Add doc for DummyObject

* Fixing flaky test (hopefully).

* tf compliant.

* 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

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

* Make sure all submodules are properly registered

* Try to fix tests

* Fix tests

* Multiple fixes of trainer class with XLA GPU

* Make fp16 valid for xla:gpu

* Add mark_step in should_log to reduce compilation overhead

* 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>

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

* Add ONNX classes to main package

* Remove permalinks from ONNX guide

* Fix ToC entry

* Revert "Add ONNX classes to main package"

This reverts commit eb794a5b00d66b0b4eab234987301676d8357630.

* Add ONNX classes to main doc

* Fix syntax highlighting in doc

* Fix text

* Add FeaturesManager to doc

* Use paths to reference ONNX classes

* Add FeaturesManager to init

* Add missing ONNX paths