GitLab

* Use test fetcher for push tests as well

* Force diff with last commit for circleCI on master

* Fix syntax error

* Style

* Schedule nightly tests

* Base test

* More test

* Fix mistake

* Add a docstring change

* Add doc ignore

* Add changes

* Add recursive dep search

* Add recursive dep search

* save

* Finalize test mapping

* Fix bug

* Print prettier

* Ignore comments and empty lines

* Make script runnable from anywhere

* Need dev install

* Like that

* Adapt

* Add as artifact

* Try on torch tests

* Fix yaml error

* Install GitPython

* Apply everywhere

* Be more defensive

* Revert to all tests if something is wrong

* Install GitPython

* Test if there are tests before launching.

* Fixes

* Fixes

* Fixes

* Fixes

* Bash syntax is horrible

* Be less stupid

* Try differently

* Typo

* Typo

* Typo

* Style

* Better name

* Escape quotes

* Ignore black unhelpful re-formatting

* Not a docstring

* Deal with inits in dependency map

* Run all tests once PR is merged.

* Add last job

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Stronger dependencies gather

* Ignore empty lines too!

* Clean up

* Fix quality
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Laying down building stone for more flexible ONNX export capabilities

* Ability to provide a map of config key to override before exporting.

* Makes it possible to export BART with/without past keys.

* Supports simple mathematical syntax for OnnxVariable.repeated

* Effectively apply value override from onnx config for model

* Supports export with additional features such as with-past for seq2seq

* Store the output path directly in the args for uniform usage across.

* Make BART_ONNX_CONFIG_* constants and fix imports.

* Support BERT model.

* Use tokenizer for more flexibility in defining the inputs of a model.

* Add TODO as remainder to provide the batch/sequence_length as CLI args

* Enable optimizations to be done on the model.

* Enable GPT2 + past

* Improve model validation with outputs containing nested structures

* Enable Roberta

* Enable Albert

* Albert requires opset >= 12

* BERT-like models requires opset >= 12

* Remove double printing.

* Enable XLM-Roberta

* Enable DistilBERT

* Disable optimization by default

* Fix missing setattr when applying optimizer_features

* Add value field to OnnxVariable to define constant input (not from tokenizers)

* Add T5 support.

* Simplify model type retrieval

* Example exporting token_classification pipeline for DistilBERT.

* Refactoring to package `transformers.onnx`

* Solve circular dependency & __main__

* Remove unnecessary imports in `__init__`

* Licences

* Use @Narsil's suggestion to forward the model's configuration to the ONNXConfig to avoid interpolation.

* Onnx export v2 fixes (#12388)

* Tiny fixes
Remove `convert_pytorch` from onnxruntime-less runtimes
Correct reference to model

* Style

* Fix Copied from

* LongFormer ONNX config.

* Removed optimizations

* Remvoe bad merge relicas.

* Remove unused constants.

* Remove some deleted constants from imports.

* Fix unittest to remove usage of PyTorch model for onnx.utils.

* Fix distilbert export

* Enable ONNX export test for supported model.

* Style.

* Fix lint.

* Enable all supported default models.

* GPT2 only has one output

* Fix bad property name when overriding config.

* Added unittests and docstrings.

* Disable with_past tests for now.

* Enable outputs validation for default export.

* Remove graph opt lvls.

* Last commit with on-going past commented.

* Style.

* Disabled `with_past` for now

* Remove unused imports.

* Remove framework argument

* Remove TFPreTrainedModel reference

* Add documentation

* Add onnxruntime tests to CircleCI

* Add test

* Rename `convert_pytorch` to `export`

* Use OrderedDict for dummy inputs

* WIP Wav2Vec2

* Revert "WIP Wav2Vec2"

This reverts commit f665efb04c92525c3530e589029f0ae7afdf603e.

* Style

* Use OrderedDict for I/O

* Style.

* Specify OrderedDict documentation.

* Style :)
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* add dependency table sync verification

* improve the message

* improve the message

* revert

* ready to merge

* Support for torch 1.9.0

* Torch scatter for 1.9.0

* Github Actions run on 1.9.0

* Temporarily deactivate torch-scatter while we wait for new release

* torch-1.8.1 binary for scatter

* Revert to 1.8.0

* Pin torch dependency

* torchaudio and torchvision

* Squash all commits of modeling_detr_v7 branch into one

* Improve docs

* Fix tests

* Style

* Improve docs some more and fix most tests

* Fix slow tests of ViT, DeiT and DETR

* Improve replacement of batch norm

* Restructure timm backbone forward

* Make DetrForSegmentation support any timm backbone

* Fix name of output

* Address most comments by @LysandreJik

* Give better names for variables

* Conditional imports + timm in setup.py

* Address additional comments by @sgugger

* Make style, add require_timm and require_vision to testsé

* Remove train_backbone attribute of DetrConfig, add methods to freeze/unfreeze backbone

* Add png files to fixtures

* Fix type hint

* Add timm to workflows

* Add `BatchNorm2d` to the weight initialization

* Fix retain_grad test

* Replace model checkpoints by Facebook namespace

* Fix name of checkpoint in test

* Add user-friendly message when scipy is not available

* Address most comments by @patrickvonplaten

* Remove return_intermediate_layers attribute of DetrConfig and simplify Joiner

* Better initialization

* Scipy is necessary to get sklearn metrics

* Rename TimmBackbone to DetrTimmConvEncoder and rename DetrJoiner to DetrConvModel

* Make style

* Improve docs and add 2 community notebooks
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* Make quality scripts work when one backend is missing.

* Check env variable is properly set

* Add default

* With print statements

* Fix typo

* Set env variable

* Remove debug code

* Initial support for upload to hub

* push -> upload

* Fixes + examples

* Fix torchhub test

* Torchhub test I hate you

* push_model_to_hub -> push_to_hub

* Apply mixin to other pretrained models

* Remove ABC inheritance

* Add tests

* Typo

* Run tests

* Install git-lfs

* Change approach

* Add push_to_hub to all

* Staging test suite

* Typo

* Maybe like this?

* More deps

* Cache

* Adapt name

* Quality

* MOAR tests

* Put it in testing_utils

* Docs + torchhub last hope

* Styling

* Wrong method

* Typos

* Update src/transformers/file_utils.py
Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Address review comments

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Julien Chaumond <julien@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Base move

* Examples reorganization

* Update references

* Put back test data

* Move conftest

* More fixes

* Move test data to test fixtures

* Update path

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

* Address review comments and clean
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Add a special tokenizer for CPM model

* make style

* fix

* Add docs

* styles

* cpm doc

* fix ci

* fix the overview

* add test

* make style

* typo

* Custom tokenizer flag

* Add REAMDE.md
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* extras[doc] must include 'all'

* fix

* better

* regroup

* Squash all commits into one

* Update ViTFeatureExtractor to use image_utils instead of torchvision

* Remove torchvision and add Pillow

* Small docs improvement

* Address most comments by @sgugger

* Fix tests

* Clean up conversion script

* Pooler first draft

* Fix quality

* Improve conversion script

* Make style and quality

* Make fix-copies

* Minor docs improvements

* Should use fix-copies instead of manual handling

* Revert "Should use fix-copies instead of manual handling"

This reverts commit fd4e591bce4496d41406425c82606a8fdaf8a50b.

* Place ViT in alphabetical order
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add more metadata to the user agent

* Fix typo

* Use DISABLE_TELEMETRY

* Address review comments

* Use global env

* Add clean envs on circle CI

* Initial script

* Add script to properly sort imports in init.

* Add to the CI

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

* Separate scripts that change content from quality

* Move class_mapping_update to style_checks
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* make flax tests pytorch independent

* fix typo

* finish

* improve circle ci

* fix return tensors

* correct flax test

* re-add sentencepiece

* last tokenizer fixes

* finish maybe now

* s2t

* fix config

* conversion script

* fix import

* add tokenizer

* fix tok init

* fix tokenizer

* first version working

* fix embeds

* fix lm head

* remove extra heads

* fix convert script

* handle encoder attn mask

* style

* better enc attn mask

* override _prepare_attention_mask_for_generation

* handle attn_maks in encoder and decoder

* input_ids => input_features

* enable use_cache

* remove old code

* expand embeddings if needed

* remove logits bias

* masked_lm_loss => loss

* hack tokenizer to support feature processing

* fix model_input_names

* style

* fix error message

* doc

* remove inputs_embeds

* remove input_embeds

* remove unnecessary docstring

* quality

* SpeechToText => Speech2Text

* style

* remove shared_embeds

* subsample => conv

* remove Speech2TextTransformerDecoderWrapper

* update output_lengths formula

* fix table

* remove max_position_embeddings

* update conversion scripts

* add possibility to do upper case for now

* add FeatureExtractor and Processor

* add tests for extractor

* require_torch_audio => require_torchaudio

* add processor test

* update import

* remove classification head

* attention mask is now 1D

* update docstrings

* attention mask should be of type long

* handle attention mask from generate

* alwyas return attention_mask

* fix test

* style

* doc

* Speech2TextTransformer => Speech2Text

* Speech2TextTransformerConfig => Speech2TextConfig

* remove dummy_inputs

* nit

* style

* multilinguial tok

* fix tokenizer

* add tgt_lang setter

* save lang_codes

* fix tokenizer

* add forced_bos_token_id to tokenizer

* apply review suggestions

* add torchaudio to extra deps

* add speech deps to CI

* fix dep

* add libsndfile to ci

* libsndfile1

* add speech to extras all

* libsndfile1 -> libsndfile1

* libsndfile

* libsndfile1-dev

* apt update

* add sudo to install

* update deps table

* install libsndfile1-dev on CI

* tuple to list

* init conv layer

* add model tests

* quality

* add integration tests

* skip_special_tokens

* add speech_to_text_transformer in toctree

* fix tokenizer

* fix fp16 tests

* add tokenizer tests

* fix copyright

* input_values => input_features

* doc

* add model in readme

* doc

* change checkpoint names

* fix copyright

* fix code example

* add max_model_input_sizes in tokenizer

* fix integration tests

* add do_lower_case to tokenizer

* remove clamp trick

* fix "Add modeling imports here"

* fix copyrights

* fix tests

* SpeechToTextTransformer => SpeechToText

* fix naming

* fix table formatting

* fix typo

* style

* fix typos

* remove speech dep from extras[testing]

* fix copies

* rename doc file,

* put imports under is_torch_available

* run feat extract tests when torch is available

* dummy objects for processor and extractor

* fix imports in tests

* fix import in modeling test

* fxi imports

* fix torch import

* fix imports again

* fix positional embeddings

* fix typo in import

* adapt new extractor refactor

* style

* fix torchscript test

* doc

* doc

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix docs, copied from, style

* fix docstring

* handle imports

* remove speech from all extra deps

* remove s2t from seq2seq lm mapping

* better names

* skip training tests

* add install instructions

* List => Tuple

* doc

* fix conversion script

* fix urls

* add instruction for libsndfile

* fix fp16 test
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fix embeddings for PyTorch 1.8

* Try with PyTorch 1.8.0

* Fix embeddings init

* Fix copies

* Typo

* More typos

I assume the CI machine should have at least 4 cores, so let's build docs faster

* First commit: adding all files from tapas_v3

* Fix multiple bugs including soft dependency and new structure of the library

* Improve testing by adding torch_device to inputs and adding dependency on scatter

* Use Python 3 inheritance rather than Python 2

* First draft model cards of base sized models

* Remove model cards as they are already on the hub

* Fix multiple bugs with integration tests

* All model integration tests pass

* Remove print statement

* Add test for convert_logits_to_predictions method of TapasTokenizer

* Incorporate suggestions by Google authors

* Fix remaining tests

* Change position embeddings sizes to 512 instead of 1024

* Comment out positional embedding sizes

* Update PRETRAINED_VOCAB_FILES_MAP and PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

* Added more model names

* Fix truncation when no max length is specified

* Disable torchscript test

* Make style & make quality

* Quality

* Address CI needs

* Test the Masked LM model

* Fix the masked LM model

* Truncate when overflowing

* More much needed docs improvements

* Fix some URLs

* Some more docs improvements

* Test PyTorch scatter

* Set to slow + minify

* Calm flake8 down

* First commit: adding all files from tapas_v3

* Fix multiple bugs including soft dependency and new structure of the library

* Improve testing by adding torch_device to inputs and adding dependency on scatter

* Use Python 3 inheritance rather than Python 2

* First draft model cards of base sized models

* Remove model cards as they are already on the hub

* Fix multiple bugs with integration tests

* All model integration tests pass

* Remove print statement

* Add test for convert_logits_to_predictions method of TapasTokenizer

* Incorporate suggestions by Google authors

* Fix remaining tests

* Change position embeddings sizes to 512 instead of 1024

* Comment out positional embedding sizes

* Update PRETRAINED_VOCAB_FILES_MAP and PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

* Added more model names

* Fix truncation when no max length is specified

* Disable torchscript test

* Make style & make quality

* Quality

* Address CI needs

* Test the Masked LM model

* Fix the masked LM model

* Truncate when overflowing

* More much needed docs improvements

* Fix some URLs

* Some more docs improvements

* Add add_pooling_layer argument to TapasModel

Fix comments by @sgugger and @patrickvonplaten

* Fix issue in docs + fix style and quality

* Clean up conversion script and add task parameter to TapasConfig

* Revert the task parameter of TapasConfig

Some minor fixes

* Improve conversion script and add test for absolute position embeddings

* Improve conversion script and add test for absolute position embeddings

* Fix bug with reset_position_index_per_cell arg of the conversion cli

* Add notebooks to the examples directory and fix style and quality

* Apply suggestions from code review

* Move from `nielsr/` to `google/` namespace

* Apply Sylvain's comments
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Rogge Niels <niels.rogge@howest.be>
Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* Reorganize example folder

* Continue reorganization

* Change requirements for tests

* Final cleanup

* Finish regroup with tests all passing

* Copyright

* Requirements and readme

* Make a full link for the documentation

* Address review comments

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

* Add symlink

* Reorg again

* Apply suggestions from code review
Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>

* Adapt title

* Update to new strucutre

* Remove test

* Update READMEs
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>

* ci-doc-job-skip-take-4

* wip

* wip

* wip

* wip

* skip yaml

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* ready to test

* yet another way

* trying with HEAD

* trying with head.sha

* trying with head.sha fix

* trying with head.sha fix wip

* undo

* try to switch to sha

* current branch

* current branch

* PR number check

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* initial commit

* [cli] lfs commands

* Fix FileSlice

* Tweak to FileSlice

* [hf_api] Backport filetype arg from `datasets`

cc @lhoestq

* Silm down the CI while i'm working

* Ok let's try this in CI

* Update config.yml

* Do not try this at home

* one more try

* Update lfs.py

* Revert "Tweak to FileSlice"

This reverts commit d7e32c4b3500400486411e85a2b74e57fb6b52f5.

* Update test_hf_api.py

* Update test_hf_api.py

* Update test_hf_api.py

* CI still green?

* make CI green again?

* Update test_hf_api.py

* make CI red again?

* Update test_hf_api.py

* add CI style back

* Fix CI?

* oh my

* doc + switch back to real staging endpoint

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Pierric Cistac <Pierrci@users.noreply.github.com>

* Fix docblock + f-strings
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Pierric Cistac <Pierrci@users.noreply.github.com>

cancel debug printing for now. As it can be seen lead to a failing test here:
https://app.circleci.com/pipelines/github/huggingface/transformers/16894/workflows/cc86f7a9-4020-45af-8ab3-c22f79b427cf/jobs/131924

* disable skipping, but leave logging for the future

* check that we get any match first

* docs only

* 2 docs only

* add code

* restore

reference: https://github.com/huggingface/transformers/pull/8853#issuecomment-736779863

* restore skip

* Revert "Remove deprecated `evalutate_during_training` (#8852)"

This reverts commit 55302990.

* check that pipeline.git.base_revision is defined before proceeding

* Revert "Revert "Remove deprecated `evalutate_during_training` (#8852)""

This reverts commit dfec84db3fdce1079f01f1bc8dfaf21db2ccaba1.

* check that pipeline.git.base_revision is defined before proceeding

* doc only

* doc + code

* restore

* restore

* typo