GitLab

* [ASR pipeline] correct with lm pipeline

* improve error

* Style docstrings when making/checking copies

* Polish

* 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>

add new paper

* Efficient Software Prebuilds

* improve

* 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

* update XLMProphetNet link

* update DPR link

* change prophetnet link

* change link MBART

* change link GPT

* update gpt2 link

* ctrl update link

* update Transformer-XL link

* Update Reformer link

* update xlnet link

* bert update link

* udpate albert link

* roberta update link

* update distilbert link

* update convbert link

* update XLM link

* xlm roberta update link

* update Flaubert link

* update electra link

* update funnel transformer and longformer

* bart update link

* pegasus update link

* udpate marianmt link

* t5 update link

* mt5 update link

* 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

* Check the repo consistency in model templates test

* Fix doc template

* Fix docstrings

* Fix last docstring

* Multiple fixes of trainer class with XLA GPU

* Make fp16 valid for xla:gpu

* Add mark_step in should_log to reduce compilation overhead

Fix typo

* 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>

* Updated script

* Commit everything

* Ready for review!

* Update .github/workflows/build_documentation.yml
Co-authored-by: Julien Chaumond <julien@huggingface.co>
Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Update run_summarization.py

* Fixed languages and added missing code

* fixed obj, docs, removed source_lang and target_lang

* make style, run_summarization.py reformatted

* 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

* 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

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

* use block_size instead of max_seq_length

* fixup

* remove pad_to_block_size
Co-authored-by: Russell Klopfer <russell@kloper.us>