* improve names and tests longformer
* more and better tests for longformer
* add first tf test
* finalize tf basic op functions
* fix merge
* tf shape test passes
* narrow down discrepancies
* make longformer local attn tf work
* correct tf longformer
* add first global attn function
* add more global longformer func
* advance tf longformer
* finish global attn
* upload big model
* finish all tests
* correct false any statement
* fix common tests
* make all tests pass except keras save load
* fix some tests
* fix torch test import
* finish tests
* fix test
* fix torch tf tests
* add docs
* finish docs
* Update src/transformers/modeling_longformer.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Update src/transformers/modeling_tf_longformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* apply Lysandres suggestions
* reverse to assert statement because function will fail otherwise
* applying sylvains recommendations
* Update src/transformers/modeling_longformer.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
* Update src/transformers/modeling_tf_longformer.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
* Add a script to check all models are tested and documented
* Apply suggestions from code review
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>
* Address comments
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>
* TF outputs and test on BERT
* Albert to DistilBert
* All remaining TF models except T5
* Documentation
* One file forgotten
* TF outputs and test on BERT
* Albert to DistilBert
* All remaining TF models except T5
* Documentation
* One file forgotten
* Add new models and fix issues
* Quality improvements
* Add T5
* A bit of cleanup
* Fix for slow tests
* Style
* ElectraForQuestionAnswering
* udate __init__
* add test for electra qa model
* add ElectraForQuestionAnswering in auto models
* add ElectraForQuestionAnswering in all_model_classes
* fix outputs, input_ids defaults to None
* add ElectraForQuestionAnswering in docs
* remove commented line
* better api
* improve automatic setting of global attention mask
* fix longformer bug
* fix global attention mask in test
* fix global attn mask flatten
* fix slow tests
* update docstring
* update docs and make more robust
* improve attention mask
* add multiple choice for longformer
* add models to docs
* adapt docstring
* add test to longformer
* add longformer for mc in init and modeling auto
* fix tests
* 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
* First pass on utility classes and python tokenizers
* finishing cleanup pass
* style and quality
* Fix tests
* Updating following @mfuntowicz comment
* style and quality
* Fix Roberta
* fix batch_size/seq_length inBatchEncoding
* add alignement methods + tests
* Fix OpenAI and Transfo-XL tokenizers
* adding trim_offsets=True default for GPT2 et RoBERTa
* style and quality
* fix tests
* add_prefix_space in roberta
* bump up tokenizers to rc7
* style
* unfortunately tensorfow does like these - removing shape/seq_len for now
* Update src/transformers/tokenization_utils.py
Co-Authored-By: Stefan Schweter <stefan@schweter.it>
* Adding doc and docstrings
* making flake8 happy
Co-authored-by: Stefan Schweter <stefan@schweter.it>
* Add clear description of how to train T5
* correct docstring in T5
* correct typo
* correct docstring format
* update t5 model docs
* implement collins feedback
* fix typo and add more explanation for sentinal tokens
* delete unnecessary todos
