GitLab

* fix naming issues

* better names

* make templates ready

* make add_new_model_command_ready

* finish tf bart

* prepare tf mbart

* finish tf bart

* add tf mbart

* add marian

* prep pegasus

* add tf pegasus

* push blenderbot tf

* add blenderbot

* add blenderbot small

* clean-up

* make fix copy

* define blend bot tok

* fix

* up

* make style

* add to docs

* add copy statements

* overwrite changes

* improve

* fix docs

* finish

* fix last slow test

* fix missing git conflict line

* fix blenderbot

* up

* fix blenderbot small

* load changes

* finish copied from

* upload fix

After experimenting with different number of workers https://github.com/huggingface/transformers/issues/9496#issuecomment-758145868 4-5 workers seems to be the most optimal - let's go with 4 as surely we wouldn't find a cpu with less cores these days.

Fixes part of https://github.com/huggingface/transformers/issues/9496

@sgugger

* round numbers

* style

* round only on logging

* fix bad merge - dropped code

* remove --model_parallel

* Deal with TrainingArguments

* Use a private attr and fix batch sizes

* fix _n_gpu

* add is_parallel helper wrapper

* fix attribute

* introduce a new attribute is_model_parallel

* docs

* docs

* Put back init False and rearrange doc

* Ignore non-init args in HFArgumentParser
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* How To Request Support document stab

* integrate suggestions

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* small corrections

* expand on how to search for issues with examples

* address issues

* Update ISSUES.md
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* patrick's suggestion

* patrick's suggestion

* small fix
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Enable TruncationStrategy override for pipelines

* Update isort.

* Fixing test

* Fixing text_generation pipeline.

* Using same DummyTok as other PR  for easier merge later.

* Some more import guards.

* Remove bogus file.

* Do not pass `generate_kwargs` to `_parse_and_tokenize`.
@patrickvonplaten

* Removed DummyTok.

* Doc quality.

https://github.com/huggingface/transformers/pull/3177

* Remove tolerance + drop_rows_to_fit by default

* remove drop_rows_to_fit

* Start rework resizing

* Rework bias/decoder resizing

* Full resizing rework

* Full resizing rework

* Start to update the models with the new approach

* Finish to update the models

* Update all the tests

* Update the template

* Fix tests

* Fix tests

* Test a new approach

* Refactoring

* Refactoring

* Refactoring

* New rework

* Rework BART

* Rework bert+blenderbot

* Rework CTRL

* Rework Distilbert

* Rework DPR

* Rework Electra

* Rework Flaubert

* Rework Funnel

* Rework GPT2

* Rework Longformer

* Rework Lxmert

* Rework marian+mbart

* Rework mobilebert

* Rework mpnet

* Rework openai

* Rework pegasus

* Rework Roberta

* Rework T5

* Rework xlm+xlnet

* Rework template

* Fix TFT5EncoderOnly + DPRs

* Restore previous methods

* Fix Funnel

* Fix CTRL and TransforXL

* Apply style

* Apply Sylvain's comments

* Restore a test in DPR

* Address the comments

* Fix bug

* Apply style

* remove unused import

* Fix test

* Forgot a method

* missing test

* Trigger CI

* naming update

* Rebase

* Trigger CI

Signed-off-by: Richard Liaw <rliaw@berkeley.edu>

Trying to keep warning tests for now. Should be discarded if it becomes
too hard to maintain.

* Cleaning up conversation tests.

* Adding tests that don't require downloading models + conversation can be

fully created from static state.

* Making tests non flaky (by fixing generation length)

* Bumping isort version.

* Doc cleanup.

* Remove unused test in this PR.

* Torch import guard for TF.

* Missing torch guard.

* Small mistake in doc.

* Actual uses `_history` and `_index` cache.

+ remove dead enumerate
+ improve warning message.

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

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

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

* Adding comments and cleaner code to address history copy.

* Improving pipeline name in tests.

* Change tokenizer to a real one (still created at runtime with no

external dependency)

* Simplify DummyTok, reverse changes on tokenization.

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

* Fix input for np.ndarray"

* add a test

* add a test

* Add a test

* Apply style

* Fix test

Python 3.9 changed the format of the string serialization of `typing.Optional`.
For example, `str(typing.Optional[str])` is
`typing.Union[str, NoneType]` in python 3.8 and
`typing.Optional[str]` in Python 3.9.

* New intermediate inits

* Update template

* Avoid importing torch/tf/flax in tokenization unless necessary

* Styling

* Shutup flake8

* Better python version check

* up

* improve style

* add new models

* make fix-copies

* Merging all duplicated codes for Text2TextPipeline while preserving
backward compat.

* Fixing TranslationPipeline Hierarchy + return_name

* torch import guard.

* Update isort version.

* Remove code from other PR disentanglement.

* Removed named example to something more agnostic.

* fix tf flakey

* remove test files

* Main init work

* Add version

* Change from absolute to relative imports

* Fix imports

* One more typo

* More typos

* Styling

* Make quality script pass

* Add necessary replace in template

* Fix typos

* Spaces are ignored in replace for some reason

* Forgot one models.

* Fixes for import
Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>

* Add documentation

* Styling
Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>

* fix common inputs pt flakey led

* fix other tests correspondingly

* Add a serving method

* Add albert

* Add serving for BERT and BART

* Add more models

* Finish the serving addition

* Temp fix

* Restore DPR

* Fix funnel attribute

* Fix attributes GPT2

* Fix OpenAIGPT attribute

* Fix T5 attributes

* Fix Bart attributes

* Fix TransfoXL attributes

* Add versioning

* better test

* Update template

* Fix Flaubert

* Fix T5

* Apply style

* Remove unused imports

* Deactivate extra parameters

* Remove too long test + saved_model default to False

* Ignore the saved model test for some models

* Fix some inputs

* Fix mpnet serving

* Trigger CI

* Address all comments

* Vectorized `ngram_attention_bias` calculation

* updated formatting with black

* Further optimization

* one (last) optimization

* fix generation models

* fix led

* fix docs

* add is_decoder

* fix last docstrings

* make style

* fix t5 cross attentions

* correct t5

* Don't import libs to check they are available

* Don't import integrations at init

* Add importlib_metdata to deps

* Remove old vars references

* Avoid syntax error

* Adapt testing utils

* Try to appease torchhub

* Add dependency

* Remove more private variables

* Fix typo

* Another typo

* Refine the tf availability test