GitLab

* Update modeling_wav2vec2.py

With very tiny sound files (less than 0.1 seconds) the num_masked_span can be too long. The issue is described in issue #15366 and discussed with @patrickvonplaten.

* correct errors with mask time indices

* remove bogus file

* make fix-copies
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Fix deprecation warnings for int div
Co-authored-by: mgoldey <matthew.goldey@gmail.com>

* Fix import

* ensure that tensor output is python scalar

* make backward compatible

* make code more readable

* adapt test functions
Co-authored-by: mgoldey <matthew.goldey@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* rename classes

* clean up more namings

* remove bogus file

* Apply suggestions from code review

* Apply suggestions from code review

* replace more names

* more regex replace

* make style

* correct

* correct more

* make style

* finish

* correct more in wav2vec2

* make style

* improve freeze_extractor

* add aliases

* add tf aliases

* up

* add tokenizer

* improve more

* finish tokenizer

* finish

* adapt speech recognition script

* adapt convert

* more fixes

* more fixes

* update phonemizer wav2vec2

* better naming

* fix more tests

* more fixes swedish

* correct tests

* finish

* improve script

* remove file

* up

* lets get those 100 model architectures until the end of the month

* make fix-copies

* correct more

* correct script

* more fixes

* more fixes

* add to docs

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

* replace assert

* fix copies

* fix docs

* new try docs

* boom boom

* update

* add phonemizer to audio tests

* make fix-copies

* up

* upload models

* some changes

* Update tests/test_tokenization_wav2vec2_phoneme.py
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* more fixes

* remove @
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* Models

* Squashed commit of the following:

commit 72278e1e931a16d0879acc77f65762f3364833d0
Author: anton-l <aglozhkov@gmail.com>
Date:   Fri Dec 10 21:45:08 2021 +0300

* Add unispeech heads

* Add sd/sv automodels

* Docs cleanup

* Fix docstrings

* rename xvector classes

* examples

* Tests cleanup

* Style

* Better checkpoints for tests

* leftover docs

* apply review suggestions

* Style + init tests

* Update unispeech-sat tdnn downsampling

* up

* up

* up

* make it cleaner

* correct

* make styhahalal

* add more tests

* finish

* small fix

* make style

* up

* tryout to solve cicrle ci

* up

* fix more tests

* fix more tests

* apply sylvains suggestions

* fix import

* correct docs

* add pyctcdecode only to speech tests

* fix more tests

* add tf, flax and pt tests

* add pt

* fix last tests

* fix more tests

* Apply suggestions from code review

* change lines

* Apply suggestions from code review
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* correct tests

* correct tests

* add doc string
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* 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

* add new wav2vec2 translation

* correct

* up

* add tests

* correct end copy

* correct more

* up

* correct unispeech sat

* finish

* finalize

* finish

* up

* Fix gradient_checkpointing backward compatibility

* Remove needless line

* make sure mask prob is big enough and length small enough

* Fix tests
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* up

* up

* up

* up

* up

* up

* up

* add clip

* fix clip PyTorch

* fix clip PyTorch

* up

* up

* up

* up

* up

* up

* up

* up

* up

* up

* finish

* correct long to bool

* up

* correct code

* adapt wav2vec2

* add example

* add files

* adapt

* remove bogus file

* Apply suggestions from code review

* adapt files more

* upload changes

* del old files

* up

* up

* up

* up

* up

* correct gradient checkpoitning

* add readme

* finish

* finish

* up

* more fixes

* up

* up

* add demo run to readme

* up

* up

* overwrite hubert

* fix_torch_device_generate_test

* remove @

* wav2vec2 pretraining
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* Add hubert classifier + tests

* Add hubert classifier + tests

* Dummies for all classification tests

* Wav2Vec2 classifier + ER test

* Fix hubert integration tests

* Add hubert IC

* Pass tests for all classification tasks on Hubert

* Pass all tests + copies

* Move models to the SUPERB org

* fix_torch_device_generate_test

* remove @

* add truncate

* finish

* correct test

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

* clean tests

* correct normalization for truncation

* remove casting

* up

* save intermed

* finish

* finish

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

* Expose get_config() on ModelTesters

* Typo

* fix_torch_device_generate_test

* remove @

* finish

* correct script

* correct script

* fix_torch_device_generate_test

* remove @

* start adding tests

* correct wav2vec2 pretraining

* up

* up
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* fix_torch_device_generate_test

* remove @

* fix test

* Add OOV error to ASR models

* Feedback changes

* fix_torch_device_generate_test

* remove @

* fix tests

* Working quantizer forward

* Working quantizer forward

* Clean up unused model parts, test reproducibility

* Working quantizer forward

* Clean up unused model parts, test reproducibility

* Remove custom outputs from the shared ones

* correct conversion

* correct bug

* add first pretrain script

* save intermediate

* static shapes

* save intermediate

* finish first pretrain script version

* more refactor

* remove wanddb

* refactor more

* improve test

* correct perplexity compute bug

* finish model implementation

* add to docs

* finish docs

* finish pretraining script

* finish pretraining script

* remove wandb

* finish PR for merge

* finish config

* finish

* make deepspeed work

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

* apply suggestions

* fix flaky test
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* first try

* finish

* lazy_init_weights

* remove ipdb

* save int

* add necessary code

* remove unnecessary utils

* Update src/transformers/models/t5/modeling_t5.py

* clean

* add tests

* correct

* finish tests

* finish tests

* fix some more tests

* fix xlnet & transfo-xl

* fix more tests

* make sure tests are independent

* fix tests more

* finist tests

* final touches

* Update src/transformers/modeling_utils.py

* Apply suggestions from code review

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

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

* clean tests

* give arg positive name

* add more mock weights to xlnet
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* First third

* Styling and fix mistake

* Quality

* All the rest

* Treat %s and %d

* typo

* Missing )

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

* add encode labels function to tokenizer

* start adding finetuning

* init dropout

* upload

* correct convert script

* apply changes

* fix second typo

* make first dummy training run

* adapt convert script

* push confg for comparison

* remove conf

* finish training

* adapt data collator

* add research folder

* update according to fairseq feedback

* some minor corrections

* refactor masking indices a bit

* some minor changes

* clean tokenizer

* finish clean-up

* remove previous logic

* update run script

* correct training

* finish changes

* finish model

* correct bug

* fix training a bit more

* add some tests

* finish gradient checkpointing

* finish example

* correct gradient checkpointing

* improve tokenization method

* revert changes in tokenizer

* revert general change

* adapt fine-tuning

* update

* save intermediate test

* Update README.md

* finish finetuning

* delete conversion script

* Update src/transformers/models/wav2vec2/configuration_wav2vec2.py

* Update src/transformers/models/wav2vec2/processing_wav2vec2.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* finish wav2vec2 script

* finish wav2vec2 fine-tuning

* finalize test

* correct test

* adapt tests

* finish

* remove test file
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

[PretrainedFeatureExtractor] + Wav2Vec2FeatureExtractor, Wav2Vec2Processor, Wav2Vec2Tokenizer (#10324)

* push to show

* small improvement

* small improvement

* Update src/transformers/feature_extraction_utils.py

* Update src/transformers/feature_extraction_utils.py

* implement base

* add common tests

* make all tests pass for wav2vec2

* make padding work & add more tests

* finalize feature extractor utils

* add call method to feature extraction

* finalize feature processor

* finish tokenizer

* finish general processor design

* finish tests

* typo

* remove bogus file

* finish docstring

* add docs

* finish docs

* small fix

* correct docs

* save intermediate

* load changes

* apply changes

* apply changes to doc

* change tests

* apply surajs recommend

* final changes

* Apply suggestions from code review

* fix typo

* fix import

* correct docstring

* save intermediate

* finish batch the same as fairseq

* add normalization

* fix batched input

* add better comment

* Update src/transformers/models/wav2vec2/modeling_wav2vec2.py

* add nice docstring

* add tokenizer tests

* make all slow tests pass

* finish PR

* correct import

* add wav2vec2CTC and deprecate for maskedlm

* remove from docs

* add raw scaffold

* implement feat extract layers

* make style

* remove +

* correctly convert weights

* make feat extractor work

* make feature extraction proj work

* run forward pass

* finish forward pass

* Succesful decoding example

* remove unused files

* more changes

* add wav2vec tokenizer

* add new structure

* fix run forward

* add other layer norm architecture

* finish 2nd structure

* add model tests

* finish tests for tok and model

* clean-up

* make style

* finish docstring for model and config

* make style

* correct docstring

* correct tests

* change checkpoints to fairseq

* fix examples

* finish wav2vec2

* make style

* apply sylvains suggestions

* apply lysandres suggestions

* change print to log.info

* re-add assert statement

* add input_values as required input name

* finish wav2vec2 tokenizer

* Update tests/test_tokenization_wav2vec2.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* apply sylvains suggestions
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>