GitLab

This reverts commit 0c70f145.

* Added support for other features for already supported models

* Partial support for causal and seq2seq models

* Partial support for causal and seq2seq models

* OnnxSeq2SeqConfigWithPast to support seq2seq models

* Parameterized the onnx tests

* Restored run_mlm.py

* Restored run_mlm.py

* [WIP] BART update

* BART and MBART

* Added comments

* Another sequence length of the past_key_values

* [AutoProcessor] Add Wav2Vec2WithLM & small fix

* revert line removal

* Update src/transformers/__init__.py

* add test

* up

* up

* small fix

tf.matrix_band_part -> tf.linalg.band_part

* First draft

* Style and remove mlm

* Make forward pass work

* More improvements

* More improvements

* Fix bug

* More improvements

* More improvements

* Add PerceiverTokenizer first draft

* Improve conversion script

* More improvements

* Make conversion script work for the encoder

* Make conversion script work with local pickle files

* Style & quality, fix-copies

* Add dummy input to conversion script

* Add absolute position embeddings to TextPreProcessor

* Make forward pass of encoder work

* More improvements

* Move text preprocessor to separate script

* More improvements

* More improvements

* Add post processor

* Make MLM model work

* Style

* Add PerceiverForMaskedLM

* Add PerceiverImagePreprocessor

* Make style

* Make PerceiverForImageClassification work

* More improvements

* More improvements

* Use tokenizer in conversion script

* Use PerceiverForMaskedLM in conversion script

* Define custom PerceiverModelOutput

* Improve PerceiverAttention to make it work for both MLM and image classification

* More improvements

* More improvements

* More improvements to the conversion script

* Make conversion script work for both MLM and image classification

* Add PerceiverFeatureExtractor

* More improvements

* Style and quality

* Add center cropping

* Fix bug

* Small fix

* Add print statement

* Fix bug in image preprocessor

* Fix bug with conversion script

* Make output position embeddings an nn.Parameter layer instead of nn.Embedding

* Comment out print statements

* Add position encoding classes

* More improvements

* Use position_encoding_kwargs

* Add PerceiverForImageClassificationFourier

* Make style & quality

* Add PerceiverForImageClassificationConvProcessing

* Style & quality

* Add flow model

* Move processors to modeling file

* Make position encodings modular

* Make basic decoder use modular position encodings

* Add PerceiverForOpticalFlow to conversion script

* Add AudioPreprocessor

* Make it possible for the basic decoder to use Fourier position embeddings

* Add PerceiverForMultimodalAutoencoding

* Improve model for optical flow

* Improve _build_network_inputs method

* Add print statement

* Fix device issue

* Fix device of Fourier embeddings

* Add print statements for debugging

* Add another print statement

* Add another print statement

* Add another print statement

* Add another print statement

* Improve PerceiverAudioPreprocessor

* Improve conversion script for multimodal modal

* More improvements

* More improvements

* Improve multimodal model

* Make forward pass multimodal model work

* More improvements

* Improve tests

* Fix some more tests

* Add output dataclasses

* Make more tests pass

* Add print statements for debuggin

* Add tests for image classification

* Add PerceiverClassifierOutput

* More improvements

* Make more tests pass for the optical flow model

* Make style & quality

* Small improvements

* Don't support training for optical flow model for now

* Fix _prepare_for_class for tests

* Make more tests pass, add some docs

* Add multimodal model to tests

* Minor fixes

* Fix tests

* Improve conversion script

* Make fixup

* Remove pos_dim argument

* Fix device issue

* Potential fix for OOM

* Revert previous commit

* Fix test_initialization

* Add print statements for debugging

* Fix print statement

* Add print statement

* Add print statement

* Add print statement

* Add print statement

* Add print statement

* Add print statement

* Remove need for output_shape

* Comment out output_shape

* Remove unnecessary code

* Improve docs

* Fix make fixup

* Remove PerceiverTextProcessor from init

* Improve docs

* Small improvement

* Apply first batch of suggestions from code review

* Apply more suggestions from code review

* Update docstrings

* Define dicts beforehand for readability

* Rename task to architecture in conversion script, include PerceiverModel in tests

* Add print statements for debugging

* Fix tests on GPU

* Remove preprocessors, postprocessors and decoders from main init

* Add integration test

* Fix docs

* Replace einops by torch

* Update for new docs frontend

* Rename PerceiverForImageClassification

* Improve docs

* Improve docs

* Improve docs of PerceiverModel

* Fix some more tests

* Improve center_crop

* Add PerceiverForSequenceClassification

* Small improvements

* Fix tests

* Add integration test for optical flow model

* Clean up

* Add tests for tokenizer

* Fix tokenizer by adding special tokens properly

* Fix CI

* 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>

* Fixing Dataset for TQA + token-classification.

* Fixing the tests.

* Making sure `offset_mappings` is a valid argument.

* [trainer] conditional ctx managers into one wrapper

* workaround for contextlib.nullcontext for py<3.7

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

* one more autocast

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

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>