GitLab

* fix_torch_device_generate_test

* remove @

* push

* finish

* some typos

* add more info on communication

* add suggestions

* Replace conditional generation example (fixes #12268)

* Replace model in summarization example with finetuned checkpoint, adapt example text

* Fix typo in new summarization example

* Fix docstring formatting, add missing import statement to example

* registering a buffer for token_type_ids, to pass the error of device-id getting hardcoded when tracing

* sytle format

* adding persistent flag to the resgitered buffers that prevent from adding them to the state_dict and addresses the Backward compatibility issue

* adding the try catch to the fix as persistent flag is only available from PT >1.6

* adding version check

* added the condition to only use the token_type_ids buffer when its autogenerated not passed by user

* adding comments and making the conidtion where token_type_ids are None to use the registered buffer

* taking out position-embeddding from the if block

* adding comments

* handling the case if buffer for position_ids was not registered

* reverted the changes on position_ids, fix the issue with size of token_type_ids buffer, moved the modification for generated token_type_ids to Bertmodel, instead of Embeddings

* reverting the token_type_ids in case of None to the previous version

* reverting changes on position_ids adding back the if block

* changes added by running make fix-copies

* changes added by running make fix-copies and added the import version as it was getting used

* changes added by running make fix-copies

* changes added by running make fix-copies

* fixing the import format

* fixing the import format

* modified to use temp tensor for trimed and expanded token_type_ids buffer

* changes made by fix-copies after temp tensor modifications

* changes made by fix-copies after temp tensor modifications

* changes made by fix-copies after temp tensor modifications

* clean up

* clean up

* clean up

* clean up

* Nit

* Nit

* Nit

* modified according to support device conversion on traced models

* modified according to support device conversion on traced models

* modified according to support device conversion on traced models

* modified according to support device conversion on traced models

* changes based on latest in master

* Adapt templates

* Add version import
Co-authored-by: Ubuntu <ubuntu@ip-172-31-32-81.us-west-2.compute.internal>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* [tests] multiple improvements

* cleanup

* style

* todo to investigate

* fix

* set log level from CLI

* add log_level_replica + test + extended docs

* cleanup

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

* rename datasets objects to allow datasets module

* improve the doc

* style

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

* fix_torch_device_generate_test

* remove @

* add commands for flax/jax

* New Tensorflow QA example!

* Style pass

* Updating README.md for the new example

* flake8 fixes

* Update examples/tensorflow/question-answering/README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix_torch_device_generate_test

* remove @

* fix flax save pretrained test

* boom boom

* remove flax clip example

* allow loading head model with base model weights

* add test

* fix imports

* disable save, load test for clip

* add test_save_load_to_base

* boom boom

* remove flax clip example

* fix from_save_pretrained

* make_student.py: fix to make student ProphetNet

* reformat

* Better run ID

* Only part of CI

* Revert "Only part of CI"

This reverts commit 29f7f248d21e0f5792e0670ba8705b31ad8967b7.

* [run_clm.py] restore caching

* style

* [t5 doc] make the example work out of the box

This PR expands the training example to include the correct model type for the example to work, e.g. with `T5Model` this example will break.

* Update docs/source/model_doc/t5.rst
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* expand the other example
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Moved Mish to Torch 1.9 version

* Run black formatting

* boom boom

* remove flax clip example

* few small fixes

* add FlaxAutoModelForSeq2SeqLM

* update desc for map in all examples

* added plm

* suggestions

* AutoTokenizer: infer the class from the tokenizer config if possible

* Add tests

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

* fix pt-1.9.0 add_ deprecation

* add () for clarity

* Trigger CI

* require_version(torch

* Support for torch 1.9.0

* Torch scatter for 1.9.0

* Github Actions run on 1.9.0

* Remove unused variables

* Improve docs

* Fix docs of segmentation masks
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* fixed broken link

* Update docs/source/benchmarks.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/benchmarks.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Use yaml to create metadata

* Fix typo

* Remove pin

* fix_torch_device_generate_test

* remove @

* add hubert

* add first test file

* more docs

* fix bugs

* fix bug

* finish

* finish

* finish docstring

* fix

* fix

* finalize

* add to ignored

* finish

* Apply suggestions from code review

* correct naming

* finish

* fix auto config

* finish

* correct convert script

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* apply suggestions lysandre & suraj
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* fix_torch_device_generate_test

* remove @

* push new logit processors

* add processors

* save first working version

* save intermediate

* finish

* make style

* make fix-copies

* finish

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

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Temporarily deactivate torch-scatter while we wait for new release

* torch-1.8.1 binary for scatter

* Revert to 1.8.0

* Pin torch dependency

* torchaudio and torchvision

* [WIP] Model card defaults

* finetuned_from default value

* Add all mappings to the mapping file

* Be more defensive on finetuned_from arg

* Add default task tag

* Separate tags from tasks

* Edge case for dataset

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* ensure concurrent pytest workers use a unique port for torch.distributed.launch

* reword