* 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 fd4e591bce.
* 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>
* 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>
* 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 d7e32c4b35.
* 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>
* restore skip
* Revert "Remove deprecated `evalutate_during_training` (#8852)"
This reverts commit 5530299096.
* check that pipeline.git.base_revision is defined before proceeding
* Revert "Revert "Remove deprecated `evalutate_during_training` (#8852)""
This reverts commit dfec84db3f.
* check that pipeline.git.base_revision is defined before proceeding
* doc only
* doc + code
* restore
* restore
* typo
* Make ci fail
* Try to make tests actually run?
* CI finally failing?
* Fix CI
* Revert "Fix CI"
This reverts commit ca7923be73.
* Ooops wrong one
* one more try
* Ok ok let's move this elsewhere
* Alternative to globals() (#8667)
* Alternative to globals()
* Error is raised later so return None
* Sentencepiece not installed make some tokenizers None
* Apply Lysandre wisdom
* Slightly clearer comment?
cc @sgugger
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update deploy-docs dependencies on CI to enable Flax
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added pair of ""
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* First addition of Flax/Jax documentation
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* make style
* Ensure input order match between Bert & Roberta
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Install dependencies "all" when building doc
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* wraps build_doc deps with ""
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing @sgugger comments.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Use list to highlight JAX features.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Make style.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Let's not look to much into the future for now.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Style
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
* make it possible to invoke testconf.py in both test suites without crashing on having the same option added
* perl -pi -e 's|--make_reports|--make-reports|' to be consistent with other opts
* add `pytest --make-reports` to all CIs (and artifacts)
* fix
* Add a template for example scripts and apply it to mlm
* Formatting
* Fix test
* Add plm script
* Add a template for example scripts and apply it to mlm
* Formatting
* Fix test
* Add plm script
* Add a template for example scripts and apply it to mlm
* Formatting
* Fix test
* Add plm script
* Styling
* better reports
* a whole bunch of reports in their own files
* clean up
* improvements
* github artifacts experiment
* style
* complete the report generator with multiple improvements/fixes
* fix
* save all reports under one dir to easy upload
* can remove temp failing tests
* doc fix
* some cleanup
* Important files
* Styling them all
* Revert "Styling them all"
This reverts commit 7d029395fd.
* Syling them for realsies
* Fix syntax error
* Fix benchmark_utils
* More fixes
* Fix modeling auto and script
* Remove new line
* Fixes
* More fixes
* Fix more files
* Style
* Add FSMT
* More fixes
* More fixes
* More fixes
* More fixes
* Fixes
* More fixes
* More fixes
* Last fixes
* Make sphinx happy
* WIP refactoring pipeline tests - switching to fast tokenizers
* fix dialog pipeline and fill-mask
* refactoring pipeline tests backbone
* make large tests slow
* fix tests (tf Bart inactive for now)
* fix doc...
* clean up for merge
* fixing tests - remove bart from summarization until there is TF
* fix quality and RAG
* Add new translation pipeline tests - fix JAX tests
* only slow for dialog
* Fixing the missing TF-BART imports in modeling_tf_auto
* spin out pipeline tests in separate CI job
* adding pipeline test to CI YAML
* add slow pipeline tests
* speed up tf and pt join test to avoid redoing all the standalone pt and tf tests
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
* Update src/transformers/pipelines.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/pipelines.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Update src/transformers/testing_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* add require_torch and require_tf in is_pt_tf_cross_test
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* WIP flax bert
* Initial commit Bert Jax/Flax implementation.
* Embeddings working and equivalent to PyTorch.
* Move embeddings in its own module BertEmbeddings
* Added jax.jit annotation on forward call
* BertEncoder on par with PyTorch ! :D
* Add BertPooler on par with PyTorch !!
* Working Jax+Flax implementation of BertModel with < 1e-5 differences on the last layer.
* Fix pooled output to take only the first token of the sequence.
* Refactoring to use BertConfig from transformers.
* Renamed FXBertModel to FlaxBertModel
* Model is now initialized in FlaxBertModel constructor and reused.
* WIP JaxPreTrainedModel
* Cleaning up the code of FlaxBertModel
* Added ability to load Flax model saved through save_pretrained()
* Added ability to convert Pytorch Bert model to FlaxBert
* FlaxBert can now load every Pytorch Bert model with on-the-fly conversion
* Fix hardcoded shape values in conversion scripts.
* Improve the way we handle LayerNorm conversion from PyTorch to Flax.
* Added positional embeddings as parameter of BertModel with default to np.arange.
* Let's roll FlaxRoberta !
* Fix missing position_ids parameters on predict for Bert
* Flax backend now supports batched inputs
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Make it possible to load msgpacked model on convert from pytorch in last resort.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Moved save_pretrained to Jax base class along with more constructor parameters.
* Use specialized, model dependent conversion functio.
* Expose `is_flax_available` in file_utils.
* Added unittest for Flax models.
* Added run_tests_flax to the CI.
* Introduce FlaxAutoModel
* Added more unittests
* Flax model reference the _MODEL_ARCHIVE_MAP from PyTorch model.
* Addressing review comments.
* Expose seed in both Bert and Roberta
* Fix typo suggested by @stefan-it
Co-Authored-By: Stefan Schweter <stefan@schweter.it>
* Attempt to make style
* Attempt to make style in tests too
* Added jax & jaxlib to the flax optional dependencies.
* Attempt to fix flake8 warnings ...
* Redo black again and again
* When black and flake8 fight each other for a space ... 💥💥💥
* Try removing trailing comma to make both black and flake happy!
* Fix invalid is_<framework>_available call, thanks @LysandreJik 🎉
* Fix another invalid import in flax_roberta test
* Bump and pin flax release to 0.1.0.
* Make flake8 happy, remove unused jax import
* Change the type of the catch for msgpack.
* Remove unused import.
* Put seed as optional constructor parameter.
* trigger ci again
* Fix too much parameters in BertAttention.
* Formatting.
* Simplify Flax unittests to avoid machine crashes.
* Fix invalid number of arguments when raising issue for an unknown model.
* Address @bastings comment in PR, moving jax.jit decorated outside of __call__
* Fix incorrect path to require_flax/require_pytorch functions.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Attempt to make style.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Correct rebasing of circle-ci dependencies
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Fix import sorting.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Fix unused imports.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Again import sorting...
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Installing missing nlp dependency for flax unittests.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Fix laoding of model for Flax implementations.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* jit the inner function call to make JAX-compatible
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Format !
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Flake one more time 🎶
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Rewrites BERT in Flax to the new Linen API (#7211)
* Rewrite Flax HuggingFace PR to Linen
* Some fixes
* Fix tests
* Fix CI with change of name of nlp (#7054)
* nlp -> datasets
* More nlp -> datasets
* Woopsie
* More nlp -> datasets
* One last
* Expose `is_flax_available` in file_utils.
* Added run_tests_flax to the CI.
* Attempt to make style
* trigger ci again
* Fix import sorting.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Revert "Rewrites BERT in Flax to the new Linen API (#7211)"
This reverts commit 23703a5eb3364e26a1cbc3ee34b4710d86a674b0.
* Remove jnp.lax references
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Make style.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Reintroduce Linen changes ...
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Make style.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Use jax native's gelu function.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Renaming BertModel to BertModule to highlight the fact this is the Flax Module object.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Rewrite FlaxAutoModel test to not rely on pretrained_model_archive_map
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Remove unused variable in BertModule.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Remove unused variable in BertModule again
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Attempt to have is_flax_available working again.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Introduce JAX TensorType
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Improve ImportError message when trying to convert to various TensorType format.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Makes Flax model jittable.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Ensure flax models are jittable in unittests.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remove unused imports.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Ensure jax imports are guarded behind is_flax_available.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Make style.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Make style again
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Make style again again
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Make style again again again
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Update src/transformers/file_utils.py
Co-authored-by: Marc van Zee <marcvanzee@gmail.com>
* Bump flax to it's latest version
Co-authored-by: Marc van Zee <marcvanzee@gmail.com>
* Bump jax version to at least 0.2.0
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Style.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Update the unittest to use TensorType.JAX
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* isort import in tests.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Match new flax parameters name "params"
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Remove unused imports.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Add flax models to transformers __init__
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Attempt to address all CI related comments.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Correct circle.yml indent.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Correct circle.yml indent (2)
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Remove coverage from flax tests
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Addressing many naming suggestions from comments
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Simplify for loop logic to interate over layers in FlaxBertLayerCollection
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* use f-string syntax for formatting logs.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Use config property from FlaxPreTrainedModel.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* use "cls_token" instead of "first_token" variable name.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* use "hidden_state" instead of "h" variable name.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Correct class reference in docstring to link to Flax related modules.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Added HF + Google Flax team copyright.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Make Roberta independent from Bert
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Move activation functions to flax_utils.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Move activation functions to flax_utils for bert.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Added docstring for BERT
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Update import for Bert and Roberta tokenizers
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Make style.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* fix-copies
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Correct FlaxRobertaLayer to match PyTorch.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Use the same store_artifact for flax unittest
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Style.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Make sure gradient are disabled only locally for flax unittest using torch equivalence.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
* Use relative imports
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
Co-authored-by: Stefan Schweter <stefan@schweter.it>
Co-authored-by: Marc van Zee <marcvanzee@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* splitting fast and slow tokenizers [WIP]
* [WIP] splitting sentencepiece and tokenizers dependencies
* update dummy objects
* add name_or_path to models and tokenizers
* prefix added to file names
* prefix
* styling + quality
* spliting all the tokenizer files - sorting sentencepiece based ones
* update tokenizer version up to 0.9.0
* remove hard dependency on sentencepiece 🎉
* and removed hard dependency on tokenizers 🎉
* update conversion script
* update missing models
* fixing tests
* move test_tokenization_fast to main tokenization tests - fix bugs
* bump up tokenizers
* fix bert_generation
* update ad fix several tokenizers
* keep sentencepiece in deps for now
* fix funnel and deberta tests
* fix fsmt
* fix marian tests
* fix layoutlm
* fix squeezebert and gpt2
* fix T5 tokenization
* fix xlnet tests
* style
* fix mbart
* bump up tokenizers to 0.9.2
* fix model tests
* fix tf models
* fix seq2seq examples
* fix tests without sentencepiece
* fix slow => fast conversion without sentencepiece
* update auto and bert generation tests
* fix mbart tests
* fix auto and common test without tokenizers
* fix tests without tokenizers
* clean up tests lighten up when tokenizers + sentencepiece are both off
* style quality and tests fixing
* add sentencepiece to doc/examples reqs
* leave sentencepiece on for now
* style quality split hebert and fix pegasus
* WIP Herbert fast
* add sample_text_no_unicode and fix hebert tokenization
* skip FSMT example test for now
* fix style
* fix fsmt in example tests
* update following Lysandre and Sylvain's comments
* Update src/transformers/testing_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/testing_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* PoC on RAG
* Format class name/obj name
* Better name in message
* PoC on one TF model
* Add PyTorch and TF dummy objects + script
* Treat scikit-learn
* Bad copy pastes
* Typo
* fix confused flake
We run `black --target-version py35 ...` but flake8 doesn't know that, so currently with py38 flake8 fails suggesting that black should have reformatted 63 files. Indeed if I run:
```
black --line-length 119 --target-version py38 examples templates tests src utils
```
it indeed reformats 63 files.
The only solution I found is to create a black config file as explained at https://github.com/psf/black#configuration-format, which is what this PR adds.
Now flake8 knows that py35 is the standard and no longer gets confused regardless of the user's python version.
* adjust the other files that will now rely on black's config file
* Copy code from Bert to Roberta and add safeguard script
* Fix docstring
* Comment code
* Formatting
* Update src/transformers/modeling_roberta.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Add test and fix bugs
* Fix style and make new comand
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
```
/home/circleci/.local/lib/python3.6/site-packages/isort/main.py:915: UserWarning: W0501: The following deprecated CLI flags were used and ignored: --recursive!
"W0501: The following deprecated CLI flags were used and ignored: "
```
* Single workflow cache test
Remove cache dir, re-trigger cache
Only pip archives
Not sudo when pip
* All workflow cache
Remove no-cache-dir instruction
Remove last sudo occurrences
v0.3
* Replace mecab-python3 with fugashi
This replaces mecab-python3 with fugashi for Japanese tokenization. I am
the maintainer of both projects.
Both projects are MeCab wrappers, so the underlying C++ code is the
same. fugashi is the newer wrapper and doesn't use SWIG, so for basic
use of the MeCab API it's easier to use.
This code insures the use of a version of ipadic installed via pip,
which should make versioning and tracking down issues easier.
fugashi has wheels for Windows, OSX, and Linux, which will help with
issues with installing old versions of mecab-python3 on Windows.
Compared to mecab-python3, because fugashi doesn't use SWIG, it doesn't
require a C++ runtime to be installed on Windows.
In adding this change I removed some code dealing with `cursor`,
`token_start`, and `token_end` variables. These variables didn't seem to
be used for anything, it is unclear to me why they were there.
I ran the tests and they passed, though I couldn't figure out how to run
the slow tests (`--runslow` gave an error) and didn't try testing with
Tensorflow.
* Style fix
* Remove unused variable
Forgot to delete this...
* Adapt doc with install instructions
* Fix typo
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Currently, it's hard to derive which example tests were run on CI, and which weren't. Adding `-rA` flag to `pytest`, will now include a summary like:
```
==================================================================== short test summary info =====================================================================
PASSED examples/test_examples.py::ExamplesTests::test_generation
PASSED examples/test_examples.py::ExamplesTests::test_run_glue
PASSED examples/test_examples.py::ExamplesTests::test_run_language_modeling
PASSED examples/test_examples.py::ExamplesTests::test_run_squad
FAILED examples/test_examples.py::ExamplesTests::test_run_pl_glue - AttributeError: 'Namespace' object has no attribute 'gpus'
============================================================ 1 failed, 4 passed, 8 warnings in 42.96s ============================================================
```
which makes it easier to validate whether some example is being covered by CI or not.
* memory benchmark rss
* have both forward pass and line-by-line mem tracing
* cleaned up tracing
* refactored and cleaning up API
* no f-strings yet...
* add GPU mem logging
* fix GPU memory monitoring
* style and quality
* clean up and doc
* update with comments
* Switching to python 3.6+
* fix quality
* Create self-hosted.yml
* Update self-hosted.yml
* Update self-hosted.yml
* Update self-hosted.yml
* Update self-hosted.yml
* Update self-hosted.yml
* do not run slow tests, for now
* [ci] For comparison with circleci, let's also run CPU-tests
* [ci] reorganize
* clearer filenames
* [ci] Final tweaks before merging
* rm slow tests on circle ci
* Trigger CI
* On GPU this concurrency was way too high
Tensorflow 2.1.0 introduce a new dependency model where pip install tensorflow would install tf with GPU support.
Before it would just install with CPU support, thus CircleCI is looking for NVidia driver version at initialization of the
tensorflow related tests but fails as their is no NVidia Driver running.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
This prevents transformers from being importable simply because the CWD
is the root of the git repository, while not being importable from other
directories. That led to inconsistent behavior, especially in examples.
Once you fetch this commit, in your dev environment, you must run:
$ pip uninstall transformers
$ pip install -e .
These libraries aren't always installed in the virtual environment where
isort is running. Declaring them properly avoids mixing these
third-party imports with local imports.
We're already using as many processes in parallel as we have CPU cores.
Furthermore, the number of core may be incorrectly calculated as 36
(we've seen this in pytest-xdist) which make compound the problem.
PyTorch performance craters without this.
Set the number of CPUs manually based on the Circle CI resource class,
or else we're getting 36 CPUs, which is far too much (perhaps that's
the underlying hardware and not what Circle CI allocates to us).
Don't parallelize the custom tokenizers tests because they take less
than one second to run and parallelization actually makes them slower.
