* Added generic ONNX conversion script for PyTorch model.
* WIP initial TF support.
* TensorFlow/Keras ONNX export working.
* Print framework version info
* Add possibility to check the model is correctly loading on ONNX runtime.
* Remove quantization option.
* Specify ONNX opset version when exporting.
* Formatting.
* Remove unused imports.
* Make functions more generally reusable from other part of the code.
* isort happy.
* flake happy
* Export only feature-extraction for now
* Correctly check inputs order / filter before export.
* Removed task variable
* Fix invalid args call in load_graph_from_args.
* Fix invalid args call in convert.
* Fix invalid args call in infer_shapes.
* Raise exception and catch in caller function instead of exit.
* Add 04-onnx-export.ipynb notebook
* More WIP on the notebook
* Remove unused imports
* Simplify & remove unused constants.
* Export with constant_folding in PyTorch
* Let's try to put function args in the right order this time ...
* Disable external_data_format temporary
* ONNX notebook draft ready.
* Updated notebooks charts + wording
* Correct error while exporting last chart in notebook.
* Adressing @LysandreJik comment.
* Set ONNX opset to 11 as default value.
* Set opset param mandatory
* Added ONNX export unittests
* Quality.
* flake8 happy
* Add keras2onnx dependency on extras["tf"]
* Pin keras2onnx on github master to v1.6.5
* Second attempt.
* Third attempt.
* Use the right repo URL this time ...
* Do the same for onnxconverter-common
* Added keras2onnx and onnxconveter-common to 1.7.0 to supports TF2.2
* Correct commit hash.
* Addressing PR review: Optimization are enabled by default.
* Addressing PR review: small changes in the notebook
* setup.py comment about keras2onnx versioning.
* Allow BatchEncoding to be initialized empty.
This is required by recent changes introduced in TF 2.2.
* Attempt to unpin Tensorflow to 2.2 with the previous commit.
* Rewritten batch support in pipelines.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix imports sorting 🔧
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Set pad_to_max_length=True by default on Pipeline.
* Set pad_to_max_length=False for generation pipelines.
Most of generation models doesn't have padding token.
* Address @joeddav review comment: Uniformized *args.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Address @joeddav review comment: Uniformized *args (second).
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Renamed num_added_tokens to num_special_tokens_to_add
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Cherry-Pick: Partially fix space only input without special tokens added to the output #3091
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added property is_fast on PretrainedTokenizer and PretrainedTokenizerFast
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Make fast tokenizers unittests work on Windows.
* Entirely refactored unittest for tokenizers fast.
* Remove ABC class for CommonFastTokenizerTest
* Added embeded_special_tokens tests from allenai @dirkgr
* Make embeded_special_tokens tests from allenai more generic
* Uniformize vocab_size as a property for both Fast and normal tokenizers
* Move special tokens handling out of PretrainedTokenizer (SpecialTokensMixin)
* Ensure providing None input raise the same ValueError than Python tokenizer + tests.
* Fix invalid input for assert_padding when testing batch_encode_plus
* Move add_special_tokens from constructor to tokenize/encode/[batch_]encode_plus methods parameter.
* Ensure tokenize() correctly forward add_special_tokens to rust.
* Adding None checking on top on encode / encode_batch for TransfoXLTokenizerFast.
Avoid stripping on None values.
* unittests ensure tokenize() also throws a ValueError if provided None
* Added add_special_tokens unittest for all supported models.
* Style
* Make sure TransfoXL test run only if PyTorch is provided.
* Split up tokenizers tests for each model type.
* Fix invalid unittest with new tokenizers API.
* Filter out Roberta openai detector models from unittests.
* Introduce BatchEncoding on fast tokenizers path.
This new structure exposes all the mappings retrieved from Rust.
It also keeps the current behavior with model forward.
* Introduce BatchEncoding on slow tokenizers path.
Backward compatibility.
* Improve error message on BatchEncoding for slow path
* Make add_prefix_space True by default on Roberta fast to match Python in majority of cases.
* Style and format.
* Added typing on all methods for PretrainedTokenizerFast
* Style and format
* Added path for feeding pretokenized (List[str]) input to PretrainedTokenizerFast.
* Style and format
* encode_plus now supports pretokenized inputs.
* Remove user warning about add_special_tokens when working on pretokenized inputs.
* Always go through the post processor.
* Added support for pretokenized input pairs on encode_plus
* Added is_pretokenized flag on encode_plus for clarity and improved error message on input TypeError.
* Added pretokenized inputs support on batch_encode_plus
* Update BatchEncoding methods name to match Encoding.
* Bump setup.py tokenizers dependency to 0.7.0rc1
* Remove unused parameters in BertTokenizerFast
* Make sure Roberta returns token_type_ids for unittests.
* Added missing typings
* Update add_tokens prototype to match tokenizers side and allow AddedToken
* Bumping tokenizers to 0.7.0rc2
* Added documentation for BatchEncoding
* Added (unused) is_pretokenized parameter on PreTrainedTokenizer encode_plus/batch_encode_plus methods.
* Added higher-level typing for tokenize / encode_plus / batch_encode_plus.
* Fix unittests failing because add_special_tokens was defined as a constructor parameter on Rust Tokenizers.
* Fix text-classification pipeline using the wrong tokenizer
* Make pipelines works with BatchEncoding
* Turn off add_special_tokens on tokenize by default.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remove add_prefix_space from tokenize call in unittest.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Style and quality
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Correct message for batch_encode_plus none input exception.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix invalid list comprehension for offset_mapping overriding content every iteration.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* TransfoXL uses Strip normalizer.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bump tokenizers dependency to 0.7.0rc3
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Support AddedTokens for special_tokens and use left stripping on mask for Roberta.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* SpecilaTokenMixin can use slots to faster access to underlying attributes.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remove update_special_tokens from fast tokenizers.
* Ensure TransfoXL unittests are run only when torch is available.
* Style.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Style
* Style 🙏🙏
* Remove slots on SpecialTokensMixin, need deep dive into pickle protocol.
* Remove Roberta warning on __init__.
* Move documentation to Google style.
Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>
* Use tokenizer.num_added_tokens to count number of added special_tokens instead of hardcoded numbers.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* run_ner.py - Do not add a label to the labels_ids if word_tokens is empty.
This can happen when using bert-base-multilingual-cased with an input containing an unique space.
In this case, the tokenizer will output just an empty word_tokens thus leading to an non-consistent behavior
over the labels_ids tokens adding one more tokens than tokens vector.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added transformers-pytorch-cpu and gpu Docker images
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added automatic jupyter launch for Docker image.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Move image from alpine to Ubuntu to align with NVidia container images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added TRANSFORMERS_VERSION argument to Dockerfile.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added Pytorch-GPU based Docker image
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added Tensorflow images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Use python 3.7 as Tensorflow doesnt provide 3.8 compatible wheel.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remove double FROM instructions on transformers-pytorch-cpu image.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added transformers-tensorflow-gpu Docker image.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* use the correct ubuntu version for tensorflow-gpu
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added pipelines example notebook
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added transformers-cpu and transformers-gpu (including both PyTorch and TensorFlow) images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Docker images doesnt start jupyter notebook by default.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Tokenizers notebook
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Update images links
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Update Docker images to python 3.7.6 and transformers 2.5.1
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added 02-transformers notebook.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Trying to realign 02-transformers notebook ?
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added Transformer image schema
* Some tweaks on tokenizers notebook
* Removed old notebooks.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Attempt to provide table of content for each notebooks
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Second attempt.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Reintroduce transformer image.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Keep trying
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* It's going to fly !
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remaining of the Table of Content
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix inlined elements for the table of content
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Removed anaconda dependencies for Docker images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Removing notebooks ToC
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added LABEL to each docker image.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Removed old Dockerfile
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Directly use the context and include transformers from here.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Reduce overall size of compiled Docker images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Install jupyter by default and use CMD for easier launching of the images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Reduce number of layers in the images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added README.md for notebooks.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix notebooks link in README
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix some wording issues.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added blog notebooks too.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing spelling errors in review comments.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
Co-authored-by: MOI Anthony <xn1t0x@gmail.com>
* Renamed file generate by tokenizers when calling save_pretrained to match python.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added save_vocabulary tests.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remove python quick and dirty fix for clean Rust impl.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bump tokenizers dependency to 0.5.1
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* TransfoXLTokenizerFast uses a json vocabulary file + warning about incompatibility between Python and Rust
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added some save_pretrained / from_pretrained unittests.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Update tokenizers to 0.5.2
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Quality and format.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* flake8
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Making sure there is really a bug in unittest
* Fix TransfoXL constructor vocab_file / pretrained_vocab_file mixin.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* enable_padding should pad up to max_length if set.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added more testing on padding.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remove warning when pad_to_max_length is not set.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Move RoberTa warning to RoberTa and not GPT2 base tokenizer.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Correctly return the tuple of generated file(s) when calling save_pretrained
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Quality and format.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Override build_inputs_with_special_tokens for fast impl + unittest.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Quality + format.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Implemented fast version of tokenizers
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bumped tokenizers version requirements to latest 0.2.1
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added matching tests
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Matching OpenAI GPT tokenization !
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Matching GPT2 on tokenizers
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Expose add_prefix_space as constructor parameter for GPT2
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Matching Roberta tokenization !
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Removed fast implementation of CTRL.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Binding TransformerXL tokenizers to Rust.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Updating tests accordingly.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added tokenizers as top-level modules.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Black & isort.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Rename LookupTable to WordLevel to match Rust side.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Black.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Use "fast" suffix instead of "ru" for rust tokenizers implementations.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Introduce tokenize() method on fast tokenizers.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* encode_plus dispatchs to batch_encode_plus
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* batch_encode_plus now dispatchs to encode if there is only one input element.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bind all the encode_plus parameter to the forwarded batch_encode_plus call.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bump tokenizers dependency to 0.3.0
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Formatting.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix tokenization_auto with support for new (python, fast) mapping schema.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Give correct fixtures path in test_tokenization_fast.py for the CLI.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Expose max_len_ properties on BertTokenizerFast
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Move max_len_ properties to PreTrainedTokenizerFast and override in specific subclasses.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* _convert_encoding should keep the batch axis tensor if only one sample in the batch.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Add warning message for RobertaTokenizerFast if used for MLM.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added use_fast (bool) parameter on AutoTokenizer.from_pretrained().
This allows to easily enable/disable Rust-based tokenizer instantiation.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Let's tokenizers handle all the truncation and padding stuff.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Allow to provide tokenizer arguments during pipeline creation.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Update test_fill_mask pipeline to not use fast tokenizers.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix too much parameters for convert_encoding.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* When enabling padding, max_length should be set to None.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Avoid returning nested tensors of length 1 when calling encode_plus
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Ensure output is padded when return_tensor is not None.
Tensor creation requires the inital list input to be of the exact same size.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Disable transfoxl unittest if pytorch is not available (required to load the model)
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* encode_plus should not remove the leading batch axis if return_tensor is set
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Temporary disable fast tokenizers on QA pipelines.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix formatting issues.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Update tokenizers to 0.4.0
* Update style
* Enable truncation + stride unit test on fast tokenizers.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Add unittest ensuring special_tokens set match between Python and Rust.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Ensure special_tokens are correctly set during construction.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Give more warning feedback to the user in case of padding without pad_token.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* quality & format.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added possibility to add a single token as str
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added unittest for add_tokens and add_special_tokens on fast tokenizers.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix rebase mismatch on pipelines qa default model.
QA requires cased input while the tokenizers would be uncased.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Using offset mapping relative to the original string + unittest.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: save_vocabulary requires folder and file name
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Simplify import for Bert.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: truncate_and_pad disables padding according to the same heuristic than the one enabling padding.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Remove private member access in tokenize()
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Bump tokenizers dependency to 0.4.2
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* format & quality.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Use named arguments when applicable.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Add Github link to Roberta/GPT2 space issue on masked input.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Move max_len_single_sentence / max_len_sentences_pair to PreTrainedTokenizerFast + tests.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Relax type checking to include tuple and list object.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Document the truncate_and_pad manager behavior.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Raise an exception if return_offsets_mapping is not available with the current tokenizer.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Ensure padding is set on the tokenizers before setting any padding strategy + unittest.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* On pytorch we need to stack tensor to get proper new axis.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Generalize tests to different framework removing hard written return_tensors="..."
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bump tokenizer dependency for num_special_tokens_to_add
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Overflowing tokens in batch_encode_plus are now stacked over the batch axis.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Improved error message for padding strategy without pad token.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bumping tokenizers dependency to 0.5.0 for release.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Optimizing convert_encoding around 4x improvement. 🚀
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* expose pad_to_max_length in encode_plus to avoid duplicating the parameters in kwargs
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Generate a proper overflow_to_sampling_mapping when return_overflowing_tokens is True.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix unittests for overflow_to_sampling_mapping not being returned as tensor.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Format & quality.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remove perfect alignment constraint for Roberta (allowing 1% difference max)
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Triggering final CI
Co-authored-by: MOI Anthony <xn1t0x@gmail.com>
Funtowicz Morgan