* Tmp.
* Fixing BC for question answering with long context.
* Capping model_max_length to avoid tf overflow.
* Bad workaround bugged roberta.
* Fixing name.
* Fill mask pipelines test updates.
* Model eval !!
* Adding slow test with actual values.
* Making all tests pass (skipping quite a bit.)
* Doc styling.
* Better doc cleanup.
* Making an explicit test with no pad token tokenizer.
* Typo.
* Proposal
* Testing pipelines slightly better.
- Overall same design
- Metaclass to get proper different tests instead of subTest (not well
supported by Pytest)
- Added ANY meta object to make output checking more readable.
- Skipping architectures either without tiny_config or without
architecture.
* Small fix.
* Fixing the tests in case of None value.
* Oups.
* Rebased with more architectures.
* Fixing reformer tests (no override anymore).
* Adding more options for model tester config.
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
* Define new output dataclasses for greedy generation
* Add output_[...] flags in greedy generation methods
Added output_attentions, output_hidden_states, output_scores flags in
generate and greedy_search methods in GenerationMixin.
* [WIP] Implement logic and tests for output flags in generation
* Update GreedySearchOutput classes & docstring
* Implement greedy search output accumulation logic
Update greedy_search unittests
Fix generate method return value docstring
Properly init flags with the default config
* Update configuration to add output_scores flag
* Fix test_generation_utils
Sort imports and fix isinstance tests for GreedySearchOutputs
* Fix typo in generation_utils
* Add return_dict_in_generate for backwards compatibility
* Add return_dict_in_generate flag in config
* Fix tyPo in configuration
* Fix handling of attentions and hidden_states flags
* Make style & quality
* first attempt attentions
* some corrections
* improve tests
* special models requires special test
* disable xlm test for now
* clean tests
* fix for tf
* isort
* Add output dataclasses for other generation methods
* Add logic to return dict in sample generation
* Complete test for sample generation
- Pass output_attentions and output_hidden_states flags to encoder in
encoder-decoder models
- Fix import satements order in test_generation_utils file
* Add logic to return dict in sample generation
- Refactor tests to avoid using self.assertTrue, which provides
scarce information when the test fails
- Add tests for the three beam_search methods: vanilla, sample and
grouped
* Style doc
* Fix copy-paste error in generation tests
* Rename logits to scores and refactor
* Refactor group_beam_search for consistency
* make style
* add sequences_scores
* fix all tests
* add docs
* fix beam search finalize test
* correct docstring
* clean some files
* Made suggested changes to the documentation
* Style doc ?
* Style doc using the Python util
* Update src/transformers/generation_utils.py
* fix empty lines
* fix all test
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* bart output hidden states upstream
* same w/ decoder
* add tests
* fix prophetnet
* fix gpt2 and ctrl
* fix fstm and skip test for reformer and longformer
* fix all models
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Use the CI to identify failing tests
* Remove from all examples and tests
* More default switch
* Fixes
* More test fixes
* More fixes
* Last fixes hopefully
* Use the CI to identify failing tests
* Remove from all examples and tests
* More default switch
* Fixes
* More test fixes
* More fixes
* Last fixes hopefully
* Run on the real suite
* Fix slow tests
* first draft
* show design proposition for new generate method
* up
* make better readable
* make first version
* gpt2 tests pass
* make beam search for gpt2 work
* add first encoder-decoder code
* delete typo
* make t5 work
* save indermediate
* make bart work with beam search
* finish beam search bart / t5
* add default kwargs
* make more tests pass
* fix no bad words sampler
* some fixes and tests for all distribution processors
* fix test
* fix rag slow tests
* merge to master
* add nograd to generate
* make all slow tests pass
* speed up generate
* fix edge case bug
* small fix
* correct typo
* add type hints and docstrings
* fix typos in tests
* add beam search tests
* add tests for beam scorer
* fix test rag
* finish beam search tests
* move generation tests in seperate file
* fix generation tests
* more tests
* add aggressive generation tests
* fix tests
* add gpt2 sample test
* add more docstring
* add more docs
* finish doc strings
* apply some more of sylvains and sams comments
* fix some typos
* make fix copies
* apply lysandres and sylvains comments
* final corrections on examples
* small fix for reformer
* splitting fast and slow tokenizers [WIP]
* [WIP] splitting sentencepiece and tokenizers dependencies
* update dummy objects
* add name_or_path to models and tokenizers
* prefix added to file names
* prefix
* styling + quality
* spliting all the tokenizer files - sorting sentencepiece based ones
* update tokenizer version up to 0.9.0
* remove hard dependency on sentencepiece 🎉
* and removed hard dependency on tokenizers 🎉
* update conversion script
* update missing models
* fixing tests
* move test_tokenization_fast to main tokenization tests - fix bugs
* bump up tokenizers
* fix bert_generation
* update ad fix several tokenizers
* keep sentencepiece in deps for now
* fix funnel and deberta tests
* fix fsmt
* fix marian tests
* fix layoutlm
* fix squeezebert and gpt2
* fix T5 tokenization
* fix xlnet tests
* style
* fix mbart
* bump up tokenizers to 0.9.2
* fix model tests
* fix tf models
* fix seq2seq examples
* fix tests without sentencepiece
* fix slow => fast conversion without sentencepiece
* update auto and bert generation tests
* fix mbart tests
* fix auto and common test without tokenizers
* fix tests without tokenizers
* clean up tests lighten up when tokenizers + sentencepiece are both off
* style quality and tests fixing
* add sentencepiece to doc/examples reqs
* leave sentencepiece on for now
* style quality split hebert and fix pegasus
* WIP Herbert fast
* add sample_text_no_unicode and fix hebert tokenization
* skip FSMT example test for now
* fix style
* fix fsmt in example tests
* update following Lysandre and Sylvain's comments
* Update src/transformers/testing_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/testing_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* 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>
* Chunked feed forward for Bert
This is an initial implementation to test applying feed forward chunking for BERT.
Will need additional modifications based on output and benchmark results.
* Black and cleanup
* Feed forward chunking in BertLayer class.
* Isort
* add chunking for all models
* fix docs
* Fix typo
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>
* improve unit tests
this is a sample of one test according to the request in https://github.com/huggingface/transformers/issues/5973
before I apply it to the rest
* batch 1
* batch 2
* batch 3
* batch 4
* batch 5
* style
* non-tf template
* last deletion of check_loss_output
* fix merge rebase
* add intermediate reformer code
* save intermediate caching results
* save intermediate
* save intermediate results
* save intermediate
* upload next step
* fix generate tests
* make tests work
* add named tuple output
* Apply suggestions from code review
* fix use_cache for False case
* fix tensor to gpu
* fix tensor to gpu
* refactor
* refactor and make style
* Reformer model head classification implementation for text classification
* Reformat the reformer model classification code
* PR review comments, and test case implementation for reformer for classification head changes
* CI/CD reformer for classification head test import error fix
* CI/CD test case implementation added ReformerForSequenceClassification to all_model_classes
* Code formatting- fixed
* Normal test cases added for reformer classification head
* Fix test cases implementation for the reformer classification head
* removed token_type_id parameter from the reformer classification head
* fixed the test case for reformer classification head
* merge conflict with master fixed
* merge conflict, changed reformer classification to accept the choice_label parameter added in latest code
* refactored the the reformer classification head test code
* reformer classification head, common transform test cases fixed
* final set of the review comment, rearranging the reformer classes and docstring add to classification forward method
* fixed the compilation error and text case fix for reformer classification head
* Apply suggestions from code review
Remove unnecessary dup
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Kill model archive maps
* Fixup
* Also kill model_archive_map for MaskedBertPreTrainedModel
* Unhook config_archive_map
* Tokenizers: align with model id changes
* make style && make quality
* Fix CI
* first copy & past commit from Bert and morgans LSH code
* add easy way to compare to trax original code
* translate most of function
* make trax lsh self attention deterministic with numpy seed + copy paste code
* add same config
* add same config
* make layer init work
* implemented hash_vectors function for lsh attention
* continue reformer translation
* hf LSHSelfAttentionLayer gives same output as trax layer
* refactor code
* refactor code
* refactor code
* refactor
* refactor + add reformer config
* delete bogus file
* split reformer attention layer into two layers
* save intermediate step
* save intermediate step
* make test work
* add complete reformer block layer
* finish reformer layer
* implement causal and self mask
* clean reformer test and refactor code
* fix merge conflicts
* fix merge conflicts
* update init
* fix device for GPU
* fix chunk length init for tests
* include morgans optimization
* improve memory a bit
* improve comment
* factorize num_buckets
* better testing parameters
* make whole model work
* make lm model work
* add t5 copy paste tokenizer
* add chunking feed forward
* clean config
* add improved assert statements
* make tokenizer work
* improve test
* correct typo
* extend config
* add complexer test
* add new axial position embeddings
* add local block attention layer
* clean tests
* refactor
* better testing
* save intermediate progress
* clean test file
* make shorter input length work for model
* allow variable input length
* refactor
* make forward pass for pretrained model work
* add generation possibility
* finish dropout and init
* make style
* refactor
* add first version of RevNet Layers
* make forward pass work and add convert file
* make uploaded model forward pass work
* make uploaded model forward pass work
* refactor code
* add namedtuples and cache buckets
* correct head masks
* refactor
* made reformer more flexible
* make style
* remove set max length
* add attention masks
* fix up tests
* fix lsh attention mask
* make random seed optional for the moment
* improve memory in reformer
* add tests
* make style
* make sure masks work correctly
* detach gradients
* save intermediate
* correct backprob through gather
* make style
* change back num hashes
* rename to labels
* fix rotation shape
* fix detach
* update
* fix trainer
* fix backward dropout
* make reformer more flexible
* fix conflict
* fix
* fix
* add tests for fixed seed in reformer layer
* fix trainer typo
* fix typo in activations
* add fp16 tests
* add fp16 training
* support fp16
* correct gradient bug in reformer
* add fast gelu
* re-add dropout for embedding dropout
* better naming
* better naming
* renaming
* finalize test branch
* finalize tests
* add more tests
* finish tests
* fix
* fix type trainer
* fix fp16 tests
* fix tests
* fix tests
* fix tests
* fix issue with dropout
* fix dropout seeds
* correct random seed on gpu
* finalize random seed for dropout
* finalize random seed for dropout
* remove duplicate line
* correct half precision bug
* make style
* refactor
* refactor
* docstring
* remove sinusoidal position encodings for reformer
* move chunking to modeling_utils
* make style
* clean config
* make style
* fix tests
* fix auto tests
* pretrained models
* fix docstring
* update conversion file
* Update pretrained_models.rst
* fix rst
* fix rst
* update copyright
* fix test path
* fix test path
* fix small issue in test
* include reformer in generation tests
* add docs for axial position encoding
* finish docs
* Update convert_reformer_trax_checkpoint_to_pytorch.py
* remove isort
* include sams comments
* remove wrong comment in utils
* correct typos
* fix typo
* Update reformer.rst
* applied morgans optimization
* make style
* make gpu compatible
* remove bogus file
* big test refactor
* add example for chunking
* fix typo
* add to README
