GitLab

* broken test

* batch parity

* tests pass

* boom boom

* boom boom

* split out bart tokenizer tests

* fix tests

* boom boom

* Fixed dataset bug

* Fix marian

* Undo extra

* Get marian working

* Fix t5 tok tests

* Test passing

* Cleanup

* better assert msg

* require torch

* Fix mbart tests

* undo extra decoder_attn_mask change

* Fix import

* pegasus tokenizer can ignore src_lang kwargs

* unused kwarg test cov

* boom boom

* add todo for pegasus issue

* cover one word translation edge case

* Cleanup

* doc

* Improved tokenization with sacremoses

 * The TransfoXLTokenizer is now using sacremoses for tokenization
 * Added tokenization of comma-separated and floating point numbers.
 * Removed prepare_for_tokenization() from tokenization_transfo_xl.py because punctuation is handled by sacremoses
 * Added corresponding tests
 * Removed test comapring TransfoXLTokenizer and TransfoXLTokenizerFast
 * Added deprecation warning to TransfoXLTokenizerFast

* isort change
Co-authored-by: Teven <teven.lescao@gmail.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* [test schedulers] small improvement

* cleanup

* [testing] replace hardcoded paths to allow running tests from anywhere

* fix the merge conflict

* AdaFactor optimizer ported from fairseq. Tested for T5 finetuning and MLM -- reduced memory consumption compared to ADAM.

* update PR fixes, add basic test

* bug -- incorrect params in test

* bugfix -- import Adafactor into test

* bugfix -- removed accidental T5 include

* resetting T5 to master

* bugfix -- include Adafactor in __init__

* longer loop for adafactor test

* remove double error class declare

* lint

* black

* isort

* Update src/transformers/optimization.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* single docstring

* Cleanup docstring
Co-authored-by: Nikolai Y <nikolai.yakovenko@point72.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* add tf graph compile tests

* fix conflict

* remove more tf transpose statements

* fix conflicts

* fix comment typos

* move function to class function

* fix black

* fix black

* make style

* Logging

* Style

* hf_logging > utils.logging

* Address @thomwolf's comments

* Update test

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

* Revert bad change
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* More tests to Trainer

* Add warning in the doc

* Run new isort

* More changes

* Update CI, CONTRIBUTING and benchmarks

* Move threshold up for flaky test with Electra

* Update above as well

* fix distilbert

* fix typo

* Add tests to Trainer

* Test if removing long breaks everything

* Remove ugly hack

* Fix distributed test

* Use float for number of epochs

* Feed forward chunking for Distilbert & Albert

* Added ff chunking for many other models

* Change model signature

* Added chunking for XLM

* Cleaned up by removing some variables.

* remove test_chunking flag
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* start adding tie encoder to decoder functionality

* finish model tying

* make style

* Apply suggestions from code review

* fix t5 list including cross attention

* apply sams suggestions

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

* add max depth break point
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* tests

Co-authored-by: sgugger <sylvain.gugger@gmail.com>

`assertEquals` is deprecated: https://stackoverflow.com/questions/930995/assertequals-vs-assertequal-in-python/931011
This PR replaces these deprecated methods.

* Update BERT Japanese tokenizers

* Update CircleCI config to download unidic

* Specify to use the latest dictionary packages

* add cross attention layers for gpt2

* make gpt2 cross attention work

* finish bert2gpt2

* add explicit comments

* remove attention mask since not yet supported

* revert attn mask in pipeline

* Update src/transformers/modeling_gpt2.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* add MBartForConditionalGeneration

* style

* rebase and fixes

* add mbart test in TEST_FILES_WITH_NO_COMMON_TESTS

* fix docs

* don't ignore mbart

* doc

* fix mbart fairseq link

* put mbart before bart

* apply doc suggestions

* Test model outputs equivalence

* Fix failing tests

* From dict to kwargs

* DistilBERT

* Addressing @sgugger and @patrickvonplaten's comments

* cleanup torch unittests: part 2

* remove trailing comma added by isort, and which breaks flake

* one more comma

* revert odd balls

* part 3: odd cases

* more ["key"] -> .key refactoring

* .numpy() is not needed

* more unncessary .numpy() removed

* more simplification

* add targets arg to fill-mask pipeline

* add tests and more error handling

* quality

* update docstring

* add encoder-decoder for roberta

* fix headmask

* apply Sylvains suggestions

* fix typo

* Apply suggestions from code review

* allow using tokenizer.pad as a collate_fn in pytorch

* allow using tokenizer.pad as a collate_fn in pytorch

* Add documentation and tests

* Make attention mask the right shape

* Better test
Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>