GitLab

Fixes bug reported in https://github.com/huggingface/transformers/issues/4669

See #3967 for context

* pass on tokenizer to pipeline

* order input names when convert to onnx

* update style

* remove unused imports

* make ordered inputs list needs to be mutable

* add test custom bert model

* remove unused imports

* fix bug

* add more tests

* Fix longformer attention mask casting when using apex

* remove extra type casting

* 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

Change the example code to use encode_plus since the token_type_id
wasn't being correctly set.

* 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

* fix longformer model names in examples

* a better name for the notebook

* gpt2 typo

* Add files via upload

* adding freeze roberta models

* model cards

* lint

* improve memory benchmarking

* correct typo

* fix current memory

* check torch memory allocated

* better pytorch function

* add total cached gpu memory

* add total gpu required

* improve torch gpu usage

* update memory usage

* finalize memory tracing

* save intermediate benchmark class

* fix conflict

* improve benchmark

* improve benchmark

* finalize

* make style

* improve benchmarking

* correct typo

* make train function more flexible

* fix csv save

* better repr of bytes

* better print

* fix __repr__ bug

* finish plot script

* rename plot file

* delete csv and small improvements

* fix in plot

* fix in plot

* correct usage of timeit

* remove redundant line

* remove redundant line

* fix bug

* add hf parser tests

* add versioning and platform info

* make style

* add gpu information

* ensure backward compatibility

* finish adding all tests

* Update src/transformers/benchmark/benchmark_args.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/benchmark/benchmark_args_utils.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* delete csv files

* fix isort ordering

* add out of memory handling

* add better train memory handling
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* LongformerForSequenceClassification

* better naming x=>hidden_states, fix typo in doc

* Update src/transformers/modeling_longformer.py

* Update src/transformers/modeling_longformer.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* per_device instead of per_gpu/error thrown when argument unknown

* [docs] Restore examples.md symlink

* Correct absolute links so that symlink to the doc works correctly

* Update src/transformers/hf_argparser.py
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Warning + reorder

* Docs

* Style

* not for squad
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* revert convenience  method

* clean docs a bit

* make transformers-cli cross-platform

Using "scripts" is a useful option in setup.py particularly when you want to get access to non-python scripts. However, in this case we want to have an entry point into some of our own Python scripts. To do this in a concise, cross-platfom way, we can use entry_points.console_scripts. This change is necessary to provide the CLI on different platforms, which "scripts" does not ensure. Usage remains the same, but the "transformers-cli" script has to be moved (be part of the library) and renamed (underscore + extension)

* make style & quality

* add new longformer for question answering model

* add new config as well

* fix links

* fix links part 2

* fix

* fix1

* fix reformer num buckets

* fix

* adapt docs

* set num buckets in config

* added LongformerForQuestionAnswering

* add LongformerForQuestionAnswering

* fix import for LongformerForMaskedLM

* add LongformerForQuestionAnswering

* hardcoded sep_token_id

* compute attention_mask if not provided

* combine global_attention_mask with attention_mask when provided

* update example in  docstring

* add assert error messages, better attention combine

* add test for longformerForQuestionAnswering

* typo

* cast gloabl_attention_mask to long

* make style

* Update src/transformers/configuration_longformer.py

* Update src/transformers/configuration_longformer.py

* fix the code quality

* Merge branch 'longformer-for-question-answering' of https://github.com/patil-suraj/transformers

 into longformer-for-question-answering
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add Type Hints to modeling_utils.py Closes #3911

Add Type Hints to methods in `modeling_utils.py`

Note: The coverage isn't 100%. Mostly skipped internal methods.

* Reformat according to `black` and `isort`

* Use typing.Iterable instead of Sequence

* Parameterize Iterable by its generic type

* Use typing.Optional when None is the default value

* Adhere to style guideline

* Update src/transformers/modeling_utils.py

* Update src/transformers/modeling_utils.py
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Warn the user about max_len being on the path to be deprecated.

* Ensure better backward compatibility when max_len is provided to a tokenizer.

* Make sure to override the parameter and not the actual instance value.

* Format & quality

* Fix pipelines defaults bug

* one liner

* style

As discussed w/ @lysandrejik

packaging is maintained by PyPA (the Python Packaging Authority), and should be lightweight and stable

* added functionality for electra classification head

* unneeded dropout

* Test ELECTRA for sequence classification

* Style
Co-authored-by: Frankie <frankie@frase.io>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>