GitLab

* Added all files, PoolFormerFeatureExtractor still failing tests

* Fixed PoolFormerFeatureExtractor not being able to import

* Completed Poolformer doc

* Applied Suggested fixes

* Fixed errors in modeling_auto.py

* Fix feature extractor, convert docs to Markdown, styling of code

* Remove PoolFormer from check_repo and fix integration test

* Remove Poolformer from check_repo

* Fixed configuration_poolformer.py docs and removed inference.py from poolformer

* Ran with black v22

* Added PoolFormer to _toctree.yml

* Updated poolformer doc

* Applied suggested fixes and added on README.md

* Did make fixup and make fix-copies, tests should pass now

* Changed PoolFormer weights conversion script name and fixed README

* Applied fixes in test_modeling_poolformer.py and modeling_poolformer.py

* Added PoolFormerFeatureExtractor to AutoFeatureExtractor API
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Implement activations as pytorch modules

* Apply fixup

* Add missing tests for activations

* Update docstring
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix doc

* make style
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Add push_to_hub method to processors

* Fix test

* The other one too!

* Add register method to AutoProcessor

* Update src/transformers/models/auto/processing_auto.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* fix attn

* clean-up
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* logger

* Update docs/source/main_classes/logging.mdx
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Update docs/source/main_classes/logging.mdx
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Add push_to_hub method to processors

* Fix test

* The other one too!

* [t5] faster/leaner custom layer norm

* wip

* apex.normalization.FusedRMSNorm

* cleanup

* cleanup

* add doc

* add catch all

* Trigger CI

* expand

* Fix model equivalence tests

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

* fix TFSequenceSummary

* fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* [pipeline doc] fix api

* remove duplicate

* TF generate start refactor

* Add tf tests for sample generate

* re-organize

* boom boom

* Apply suggestions from code review

* re-add

* add all code

* make random greedy pass

* make encoder-decoder random work

* further improvements

* delete bogus file

* make gpt2 and t5 tests work

* finish logits tests

* correct logits processors

* correct past / encoder_outputs drama

* refactor some methods

* another fix

* refactor shape_list

* fix more shape list

* import shape
_list

* finish docs

* fix imports

* make style

* correct tf utils

* Fix TFRag as well

* Apply Lysandre's and Sylvais suggestions

* Update tests/test_generation_tf_logits_process.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Update src/transformers/tf_utils.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* remove cpu according to gante

* correct logit processor
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

Co-authored-by: Giuseppe Attanasio <giuseppeattanasio6@gmail.com>
Co-authored-by: Giuseppe Attanasio <giuseppeattanasio6@gmail.com>

* Re-export `KeyDataset`.

* Update the docs locations.

* add a network debug script and document it

* doc

* Add doctesting section

* Improve

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

* Improve the parameter `bad_word_ids' usage

* Update the bad_words_ids strategy

* add scores to Wav2Vec2WithLMOutput

* style fixup

* Allow custom code for Processors

* Add more test

* Test all auto_map configs are properly set

Forward looks for inputs, not input_ids

Fix ASR pipelines from local directories with wav2vec models that have language models attached (#15590)

* Fix loading pipelines with wav2vec models with lm when in local paths

* Adding tests

* Fix test

* Adding tests

* Flake8 fixes

* Removing conflict files :(

* Adding task type to test

* Remove unnecessary test and imports

`tokenizers` version that supports the feature to choose the direction of truncation

This reverts commit 41168a49.

Co-authored-by: muz <muzhi1991@limuzhideMBP-2.lan>

* Rework AutoFeatureExtractor.from_pretrained internal

* Custom feature extractor

* Add more tests

* Add support for custom feature extractor code

* Clean up

* Add register API to AutoFeatureExtractor

* Remove error logging in from_pretrained() method

* Add attribute_map

* Add mention in docs

* Set hidden_size attribute correctly

* Add note about Transformer-based models only
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

* Fix wrong checkpoint name: vit

* Fix missing import

* Fix more missing import

* make style

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add push to hub to feature extractor

* Quality

* Clean up