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* Pad to 8x for fp16 multiple choice example (#9752)

* Pad to 8x for fp16 squad trainer example (#9752)

* Pad to 8x for fp16 ner example (#9752)

* Pad to 8x for fp16 swag example (#9752)

* Pad to 8x for fp16 qa beam search example (#9752)

* Pad to 8x for fp16 qa example (#9752)

* Pad to 8x for fp16 seq2seq example (#9752)

* Pad to 8x for fp16 glue example (#9752)

* Pad to 8x for fp16 new ner example (#9752)

* update script template #9752

* Update examples/multiple-choice/run_swag.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

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

* improve code quality #9752
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* We most likely don't want special tokens in this output.

* Adding `skip_special_tokens=True` to FillMaskPipeline

- It's backward incompatible.
- It makes for sense for pipelines to remove references to
special_tokens (all of the other pipelines do that).
- Keeping special tokens makes it hard for users to actually remove them
  because all models have different tokens (<s>, <cls>, [CLS], ....)

* Fixing `token_str` in the same vein, and actually fix the tests too !

* Add head_mask/decoder_head_mask for TF BART models

* Add head_mask and decoder_head_mask input arguments for TF BART-based
models as a TF counterpart to the PR #9569

* Add test_headmasking functionality to tests/test_modeling_tf_common.py

* TODO: Add a test to verify that we can get a gradient back for
importance score computation

* Remove redundant #TODO note

Remove redundant #TODO note from tests/test_modeling_tf_common.py

* Fix assertions

* Make style

* Fix ...Model input args and adjust one new test

* Add back head_mask and decoder_head_mask to BART-based ...Model
after the last commit

* Remove head_mask ande decoder_head_mask from input_dict
in TF test_train_pipeline_custom_model as these two have different
shape than other input args (Necessary for passing this test)

* Revert adding global_rng in test_modeling_tf_common.py

* Fix broken links in the converting tf ckpt document

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

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

* fix ci

* fix ci

* renaming

* fix dup line

* normalize, group, sort + add myself for deepspeed

* new structure

* add ray

* typo

* more suggestions

* more suggestions

* white space

* Update .github/ISSUE_TEMPLATE/bug-report.md
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* add bullets

* sync

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

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

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

* Auto-resume training from checkpoint

* Update examples/text-classification/run_glue.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Roll out to other examples
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* onnx triu workaround

* style

* working this time

* add test

* more efficient version

`compute_objectie` => `compute_objective`

* Fix TFTrainer prediction output

* Update trainer_tf.py

* Fix TFTrainer prediction output

* Fix evaluation_loss update in TFTrainer

* Fix TFTrainer prediction output

* Fixes to run_seq2seq and instructions

* Add more defaults for summarization

* Fix saved model tests + fix a graph issue in longformer

* Apply style

* Fix memory regression in Seq2Seq example

* Fix test and properly deal with -100

* Easier condition with device safety

* Patch for MBartTokenzierFast

* Fix Seq2Seq models for serving

* Apply style

* Fix lonfgormer

* Fix mBart/Pegasus/Blenderbot

* Apply style

* Add a main intermediate layer

* Apply style

* Remove import

* Apply tf.function to Longformer

* Fix utils check_copy

* Update S2S template

* Fix BART + Blenderbot

* Fix BlenderbotSmall

* Fix BlenderbotSmall

* Fix BlenderbotSmall

* Fix MBart

* Fix Marian

* Fix Pegasus + template

* Apply style

* Fix common attributes test

* Forgot to fix the LED test

* Apply Patrick's comment on LED Decoder

* Changing model default for TableQuestionAnsweringPipeline.

- Discussion: https://discuss.huggingface.co/t/table-question-answering-is-not-an-available-task-under-pipeline/3284/6

* Updating slow tests that were out of sync.

* Fix Gelu precision

* Fix gelu_fast

* Naming

* Fix usage and apply style

* add TF gelu approximate version

* add TF gelu approximate version

* add TF gelu approximate version

* Apply style

* Fix albert

* Remove the usage of the Activation layer

* fix head mask in model_parallel

* pass correct head mask

* Moved ProphetNetForCausalLM's parent initialization after config update

* Added unit tests for generation for ProphetNetForCausalLM

* fix typo
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* no --deepspeed and --sharded_ddp together

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

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

* fix: Makes small typo corrections & standardises glossary

* feat: Adds introduction & links to transformer flashcards

* feat: Adds attribution & adjustments requested in #8949

* feat: Adds flashcards to community.md

* refactor: Removes flashcards from glossary

* Fix WAND_DISABLED test

* Remove duplicate import

* Make a test that actually works...

* Fix style

* Fix Trainer and Args to mention AdamW, not Adam.

* Update the docs for Training Arguments.

* Change arguments adamw_* to adam_*

* Fixed links to AdamW in TrainerArguments docs

* Fix line length in Training Args docs.

* Add DebertaForMaskedLM, DebertaForTokenClassification, DebertaForQuestionAnswering

* Add docs and fix quality

* Fix Deberta not having pooler