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Fix a Bug, trainer_seq2seq.py, in the else branch at Line 172, generation_inputs should be a dict (#14546)

* fix bug, trainer_seq2seq.py, Line 172, generation_inputs must be a dict before feeding into self.model.generation()

* fix bug, trainer_seq2seq.py, Line 172, generation_inputs must be a dict before feeding into self.model.generation()

* quick fix SummarizationPipeline error messages

Fix error messages to avoid spam errors, and errors of type:
`Your max_length is set to 50, but you input_length is only 46. You might consider decreasing max_length manually, e.g. summarizer('...', max_length=50)`

* correcto SummarizationPipeline error messages fixes

* [deepspeed] fix load_best_model_at_end

* try with pull_request_target

* revert: try with pull_request_target

* style

* add test

* cleanup

* implement MLukeTokenizer and LukeForMaskedLM

* update tests

* update docs

* add LukeForMaskedLM to check_repo.py

* update README

* fix test and specify the entity pad id in tokenization_(m)luke

* fix EntityPredictionHeadTransform

* add cross_attention_hidden_size to text-2-text encoder-decoder models (PT/Flax)

* for TFEncoderDecoderModel

* add equivalence test for TFEncoderDecoderModel

* fix

* fix failed equivalence tests

* remove unused import

* add detailed comment

* Fix check_equivalence_tf_to_pt by using encoder/decoder

* cleaning

* Use cross_attention_hidden_size in speech-to-text

* clean fast init logging msg in encoder decoder models

* increase tol from 1e-5 to 1e-3 for tf test

* style

* style

* make sure projection layer can run

* remove type conversion + add check

* fix conflict (config.output_hidden_size)

* Remove TF -> PT in check_pt_tf_equivalence for TFEncoderDecoderModel
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* make tensorboard optional

* update test_fetcher for flax examples

* make the tests slow

* Add a job to the documentation build

* Add caching

* Test cache

* Add AutoProcessor class
Init and tests
Add doc
Fix init
Update src/transformers/models/auto/processing_auto.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Reverts to tokenizer or feature extractor when available
Adapt test

* Revert "Adapt test"

This reverts commit bbdde5fab02465f24b54b227390073082cb32093.

* Revert "Reverts to tokenizer or feature extractor when available"

This reverts commit 77659ff5d21b6cc0baf6f443017e35e056a525bb.

* Don't revert everything Lysandre!
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

The model outputs a pooler_output whereas the doctype examples were using a pooled_output.

* Add GPTJForQuestionAnswering

* Reformat for GPTJForQuestionAnswering

* Fix isort error

* make style for GPTJForQA

* Add _keys_to_ignore_on_load_missing

* Change the sequence of qa and classification
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Update code to resolve comments left in previous PR.

* Add README.md file for this example.

* Update examples/onnx/pytorch/translation/README.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update examples/onnx/pytorch/translation/README.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update examples/onnx/pytorch/translation/README.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update README.md file to resolve comments.

* Add a section name.

* Update examples/onnx/pytorch/translation/README.md
Co-authored-by: Gary Miguel <garymm@garymm.org>

* Add more comments for _convert_past_list_to_tuple().

* Change the default file name to a consistent one.

* Fix a format issue.

* Update examples/onnx/pytorch/translation/README.md
Co-authored-by: Gary Miguel <garymm@garymm.org>

* Update examples/onnx/pytorch/translation/run_onnx_exporter.py
Co-authored-by: Gary Miguel <garymm@garymm.org>

* Update examples/onnx/pytorch/translation/README.md
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Change the folder to summarization and address some other coments.

* Update the torch version.
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Gary Miguel <garymm@garymm.org>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Replace outdated model tags with their now-canonical pipeline types

* spam the CI till it's green

* add test for glue

* add tests for clm

* fix clm test

* add summrization tests

* more tests

* fix few tests

* add test for t5 mlm

* fix t5 mlm test

* fix tests for multi device

* cleanup

* ci job

* fix metric file name

* make t5 more robust

* Make DefaultDataCollator importable from root

* Add documentation for DefaultDataCollator and add return_tensors argument to all class docstrings

* make style

* Add DefaultDataCollator to data_collator.rst

* Add DefaultDataCollator to data_collator.rst

* [trainer] add --tf32 support

* it's pt>=.17

* it's pt>=.17

* flip the default to True

* add experimental note

* simplify logic

* style

* switch to 3-state logic

* doc

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

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

* Fix doc builder

* Fix doc builder

* Fix doc builder

* 2022 is the year of multi-modality

* Small fix

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* Apply suggestions from code review

* Apply to documentation index

* Apply suggestions from code review
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Update README.md
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Apply suggestions from code review

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* move env print to util, add pt, nccl versions

* style

* version

* align

* Use new method to acquire tokenizers

* Resolve TODOs.

* Style

* Fix

* Enable do_lower_case in test_tokenize_special_tokens

* Apply suggestion from code review

* Fix mask token handling

* Revert "Fix mask token handling"

This reverts commit daaa3f5291b1f71e5bc3604ca281c000000c4648.

* Fix FNet mask token tokenization

* Complete everything

* Apply suggestions from code review

* fix #14524 (IndexError when mask prob is too low)

* fix formatting

* correct documentation, add option for setting min_num_masks

* change the semantic meaning of `mask_prob` in _compute_mask_indices

With this commit the meaing of `mask_prob` actually adhered to the probability for each
vector to be the start of a masked span of length.

* fix check_copies test

* fix documentation to semantic meaning of `upper bound of overall masking percentage`, revert changes to _compute_mask_indices

* fix typo

Co-authored-by: yis <yis@graphcore.ai>

* add readme skeleton

* update readme

* add initialization script

* add deduplication script

* add codeparrot training script

* add code generation evaluation

* add validation loss script

* add requirements

* update readme

* tweak readme

* make style

* add highlights to readme

* add CLIs to scripts

* add tokenizer training script

* add docstring to constant length dataset

* fix defaults in arguments

* update readme with cli

* move image to hub

* tweaks of readme

* fix cli commands

* add author

* explain env variables

* fix formatting

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Apply suggestions from code review
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* replace generic with gpt2 tokenizer
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* [WIP] Add FlaxBlenderbotSmall

* Revert some unintentionally changed files

Revert some unintentionally files changed by improperly filled cookiecutter instructions.

* Fix repo consistency

* Fix Flax-PT equivalence

* Apply suggestions from code review

* Update index.mdx

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

* Adds a git pull instruction

* master -> main

* Update doc img links

* Rename toctree.yml -> _toctree.yml (#14594)

* Update doc img links

* Update performance.md img link

* [doc] bf16/tf32 guide

* expand

* expand

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

* Fix mask token handling

* Revert "Fix mask token handling"

This reverts commit daaa3f5291b1f71e5bc3604ca281c000000c4648.

* Fix FNet mask token tokenization

* Convert PretrainedConfig doc to Markdown

* Use syntax

* Add necessary doc files (#14496)

* Doc fixes (#14499)

* Fixes for the new front

* Convert DETR file for table

* Title is needed

* Simplify a bit

* Even simpler

* Remove imports

* Fix typo in toctree (#14516)

* Fix checkpoints badge

* Update versions.yml format (#14517)

* Doc new front github actions (#14512)

* Doc new front github actions

* Fix docstring

* Fix feature extraction utils import (#14515)

* Address Julien's comments

* Push to doc-builder

* Ready for merge

* Remove old build and deploy

* Doc misc fixes (#14583)

* Rm versions.yml from doc

* Fix converting.rst

* Rm pretrained_models from toctree

* Fix index links (#14567)

* Fix links in README

* Localized READMEs

* Fix copy script

* Fix find doc script

* Update README_ko.md
Co-authored-by: Julien Chaumond <julien@huggingface.co>

Co-authored-by: Julien Chaumond <julien@hugg...

* add flax gptj

* no bias in attention dense

* no wpe

* fix rotary embeddings

* fix rotary embeds

* fix rotray embeds

* quality

* doc and quality

* fix equivalence tests

* started bf16 integration

* minor changes

* code now runs

* style

* lay foundation for bf16 testing

* lay foundation for bf16 testing

* start the tests

* better bf16 check

* style

* 2 separate checkers - one for bf16 support, another for bf16+autocast

* Update src/transformers/training_args.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* a couple of comment resolutions

* more comment resolutions

* resolved a small bug

* just some print statemtns

* added todo marking

* added a todo

* adjust for API change s/fast_dtype/dtype/

* fix style

* merge 2 bf16 util functions

* bf16 now does scaling too

* Add support for bfloat16

* Revert T5 layernorm to float32

This is based on the comment at https://github.com/huggingface/transformers/pull/14448/files#r752660929 and the PyTorch PR https://github.com/pytorch/pytorch/pull/66920

 .

* Add comment about conversion to float32 before returning the numpy data

* Add comment about AMP-bfloat16 incompatibility

* Fix formatting

* typo

* reformer / bf16

* cleanup

* require at least pt-1.10

* fix

* will deal with deepspeed separately

* cleanup

* revert

* cleanup

* fp16_full_eval and bf16_full_eval are separate modes

* proper deprecation

* cleanup

* test and fixes

* spelling

* cleanup

* add a note that this API is experimental
Co-authored-by: jamie <jamie@cortx.com>
Co-authored-by: Stas Bekman <stas@stason.org>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: suriya <suriya@cortx.com>
Co-authored-by: Manuel R. Ciosici <manuelrciosici@gmail.com>