GitLab

Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* First addition of Flax/Jax documentation
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* make style

* Ensure input order match between Bert & Roberta
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Install dependencies "all" when building doc
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* wraps build_doc deps with ""
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Addressing @sgugger comments.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Use list to highlight JAX features.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Make style.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Let's not look to much into the future for now.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

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

* Create modeling_tf_dpr.py

* Add TFDPR

* Add back TFPegasus, TFMarian, TFMBart, TFBlenderBot

last commit accidentally deleted these 4 lines, so I recover them back

* Add TFDPR

* Add TFDPR

* clean up some comments, add TF input-style doc string

* Add TFDPR

* Make return_dict=False as default

* Fix return_dict bug (in .from_pretrained)

* Add get_input_embeddings()

* Create test_modeling_tf_dpr.py

The current version is already passed all 27 tests!
Please see the test run at : 
https://colab.research.google.com/drive/1czS_m9zy5k-iSJbzA_DP1k1xAAC_sdkf?usp=sharing



* fix quality

* delete init weights

* run fix copies

* fix repo consis

* del config_class, load_tf_weights

They shoud be 'pytorch only'

* add config_class back

after removing it, test failed ... so totally only removing "use_tf_weights = None" on Lysandre suggestion

* newline after .. note::

* import tf, np (Necessary for ModelIntegrationTest)

* slow_test from_pretrained with from_pt=True

At the moment we don't have TF weights (since we don't have official official TF model)
Previously, I did not run slow test, so I missed this bug

* Add simple TFDPRModelIntegrationTest

Note that this is just a test that TF and Pytorch gives approx. the same output.
However, I could not test with the official DPR repo's output yet

* upload correct tf model

* remove position_ids as missing keys
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: patrickvonplaten <patrick@huggingface.co>

The new run_ner.py script tries to run prediction on the input
test set `datasets["test"]`, but it should be the tokenized set
`tokenized_datasets["test"]`

* Add next sentence prediction loss computation

* Apply style

* Fix tests

* Add forgotten import

* Add forgotten import

* Use a new parameter

* Remove kwargs and use positional arguments

Bug fix for modeling utilities function: apply_chunking_to_forward, chunking should be in the chunking dimension, an exception was raised if the complete shape of the inputs was not the same rather than only the chunking dimension (#8391)
Co-authored-by: pedro <pe25171@mit.edu>

* stash

* TF Integration testing for ELECTRA, BERT, Longformer

* Trigger slow tests

* Apply suggestions from code review

* s|multiple_gpu|multi_gpu|g; s|multigpu|multi_gpu|g'

* doc

* Add missing import

* Fix dummy objects

* [testing utils] get_auto_remove_tmp_dir default change

Now that I have been using `get_auto_remove_tmp_dir default change` for a while, I realized that the defaults aren't most optimal.

99% of the time we want the tmp dir to be empty at the beginning of the test - so changing the default to `before=True` - this shouldn't impact any tests since this feature is used only during debug.

* simplify things

* update docs

* fix doc layout

* style

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

* better 3-state doc

* style

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

* s/tmp/temporary/ + style

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

* Add a Windows dev section in the contributing file.

* Forgotten link

* Trigger CI

* Rework description

* Trigger CI

* Add auto next sentence prediction

* Fix style

* Add mobilebert next sentence prediction

* Remove SO from question template

* Styling

* Update RST

* Finer details

* Re-organize

* Style

* Patch token classification pipeline

* Some added tests for TokenClassificationArgumentHandler (#8366)
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* fix typo

* rm use_cdn & references, and implement new hf_bucket_url

* I'm pretty sure we don't need to `read` this file

* same here

* [BIG] file_utils.networking: do not gobble up errors anymore

* Fix CI 😇



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

* Tiny doc tweak

* Add doc + pass kwarg everywhere

* Add more tests and explain

cc @sshleifer let me know if better
Co-Authored-By: Sam Shleifer <sshleifer@gmail.com>

* Also implement revision in pipelines

In the case where we're passing a task name or a string model identifier

* Fix CI 😇



* Fix CI

* [hf_api] new methods + command line implem

* make style

* Final endpoints post-migration

* Fix post-migration

* Py3.6 compat

cc @stefan-it

Thank you @stas00
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* Move XLNet memory length FutureWarning

* isort

* style

* Changed default XLNet memory length

* add a multi-gpu job for all example tests

* run only ported tests

* rename

* explain why env is re-activated on each step

* mark all unported/checked tests with @require_torch_non_multigpu_but_fix_me

* style

* Apply suggestions from code review
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* gpu decorators table

* whitespace

* Update docs/source/testing.rst
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* whitespace
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* add training tests

* correct longformer

* fix docs

* fix some tests

* fix some more train tests

* remove ipdb

* fix multiple edge case model training

* fix funnel and prophetnet

* clean gpt models

* undo renaming of albert

* fairseq broke chkpt data - fixing that

* style

* support older bpecodes filenames - specifically "code" in iwslt14