- 23 Feb, 2022 1 commit
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Lysandre Debut authored
* Per-folder tests reorganization Co-authored-by:
sgugger <sylvain.gugger@gmail.com> Co-authored-by:
Stas Bekman <stas@stason.org>
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- 12 Aug, 2021 1 commit
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Kamal Raj authored
* TFDeberta moved weights to build and fixed name scope added missing , bug fixes to enable graph mode execution updated setup.py fixing typo fix imports embedding mask fix added layer names avoid autmatic incremental names +XSoftmax cleanup added names to layer disable keras_serializable Distangled attention output shape hidden_size==None using symbolic inputs test for Deberta tf make style Update src/transformers/models/deberta/modeling_tf_deberta.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Update src/transformers/models/deberta/modeling_tf_deberta.py Co-authored-by:
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- 24 Jul, 2021 1 commit
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Thibault FEVRY authored
* Faster list concat for trainer_pt_utils.get_length_grouped_indices() (#11825) get_length_grouped_indices() in LengthGroupedSampler and DistributedLengthGroupedSampler is prohibitively slow for large number of megabatches (in test case takes hours for ~270k megabatches with 100 items each) due to slow list concatenation with sum(megabatches, []). Resolves: #11795 Co-authored-by:
ctheodoris <cvtheodo@ds.dfci.harvard.edu> * Replace double occurrences as the last step (#11367) * [Flax] Fix PyTorch import error (#11839) * fix_torch_device_generate_test * remove @ * change pytorch import to flax import * Fix reference to XLNet (#11846) * Switch mem metrics flag (#11851) * Switch mem metrics flag * Update src/transformers/training_args.py Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
jrenner <joseph.renner@inria.fr> * Link official Cloud TPU JAX docs (#11892) * Flax Generate (#11777) * fix_torch_device_generate_test * remove @ * add * indexing * correct a couple of tests * fix tests * add logits processor * finish top_k, top_p, temp * add docs * correct flax prng key default * improve generate * add generation docs * add docs * make style * revert model outputs change * make style * correct typo * fix tests * fix slow test * add raise * finish generation Co-authored-by:
Patrick von Platen <patrick@huggingface.co> * Add Emotion Speech Noteboook (#11900) * Update deepspeed config to reflect hyperparameter search parameters (#11896) * rebuild deepspeed config for hyperparameter search * reformat code to fix style issues * Adding new argument `max_new_tokens` for generate. (#11476) * Adding new argument `max_new_tokens` for generate. This is a proposal to add a new argument `max_new_tokens` to `generate`. This include a `MaxNewTokensCriteria` that enables callers that don't know about the token length ahead (like pipelines callers) to manage more easily the length of their generated output. * Adding a test for the user warning when both`max_length` and `max_new_tokens` are used together. * Removed redundant `no_grad`. * Added Sequence Classification class in GPTNeo (#11906) * seq classification changes * fix tests * [Flax] Return Attention from BERT, ELECTRA, RoBERTa and GPT2 (#11918) * Added logic to return attention from flax-bert model and added test cases to check that * Added new line at the end of file to test_modeling_flax_common.py * fixing code style * Fixing Roberta and Elextra models too from cpoying bert * Added temporary hack to not run test_attention_outputs for FlaxGPT2 * Returning attention weights from GPT2 and changed the tests accordingly. * last fixes * bump flax dependency Co-authored-by:
jayendra <jayendra@infocusp.in> Co-authored-by:
Quentin Lhoest <42851186+lhoestq@users.noreply.github.com> * Update examples/research_projects/rag-end2end-retriever/finetune_rag.py type change suggested by lhoestq Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * apply sylvais suggestions * make style Co-authored-by:
dependabot[bot] <support@github.com> Co-authored-by:
dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * [RAG] Fix rag from pretrained question encoder generator behavior (#11962) * fix_torch_device_generate_test * remove @ * fix rag from pretrained loading * add test * uplaod * finish * VisualBERT (#10534) * Init VisualBERT * Add cookie-cutter, Config, and Embeddings * Add preliminary Model * Add Bert analogous classes * Add basic code for NLVR, VQA, Flickr * Update Init * Fix VisualBert Downstream Models * Rename classifier to cls * Comment position_ids buffer * Remove sentence image predictor output * Update output dicts * Remove unnecessary files * Fix Auto Modeling * Fix transformers init * Add conversion script * Add conversion script * Fix docs * Update visualbert modelling * Update configuration * Style fixes * Add model and integration tests * Add all tests * Update model mapping * Add simple detector from original repository * Update docs and configs * Fix style * Fix style * Update docs * Fix style * Fix import issues in style * Fix style * Add changes from review * Fix style * Fix style * Update docs * Fix style * Fix style * Update docs/source/model_doc/visual_bert.rst Co-authored-by:
Lysandre <lysandre.debut@reseau.eseo.fr> * [test] support more than 2 gpus (#12074) * support more than 2 gpus * style * Wav2Vec2 Pretraining (#11306) * 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:
patil-suraj <surajp815@gmail.com> * New TF GLUE example (#12028) * Pushing partially-complete new GLUE example * First draft of the new TF GLUE example! Needs a little more testing to be sure but it's almost ready. * Fix to the fit() call * Bugfixes, making sure TPU and multi-GPU support is ready * Remove logger line that depends on Pytorch * Style pass * Deleting old TF GLUE example * Include label2id and id2label in the saved model config * Don't clobber the existing model.config.label2id * Style fixes * Update examples/tensorflow/text-classification/run_glue.py Co-authored-by:
Guido Novati <gnovati@nvidia.com> * Add mlm pretraining xla torch readme (#12011) * fix_torch_device_generate_test * remove @ * upload * Apply suggestions from code review * Apply suggestions from code review * Apply suggestions from code review * Update examples/flax/language-modeling/README.md * add more info * finish * fix Co-authored-by:
Nicholas Broad <nicholas@nmbroad.com> * [lm examples] Replicate --config_overrides addition to other LM examples (#12135) * [lm examples] Replicate --config_overrides addition to other LM examples * Removing no trainer files changes * Update README Co-authored-by:
Kumar Abhishek <kabhishek@expedia.com> * fix error message (#12148) * [optim] implement AdafactorSchedule (#12123) * implement AdafactorSchedule * typo * fix * Update src/transformers/optimization.py Co-authored-by:
Ubuntu <ubuntu@ip-172-31-32-81.us-west-2.compute.internal> Co-authored-by:
chenhaitao <chenhaitao@qiyi.com> * Clean push to hub API (#12187) * Clean push to hub API * Create working dir if it does not exist * Different tweak * New API + all models + test Flax * Adds the Trainer clean up * Update src/transformers/file_utils.py Co-authored-by:
Julien Chaumond <julien@huggingface.co> * Add generated_from_trainer tag * Update to new version * Fixes Co-authored-by:
Michael Benayoun <michael@huggingface.co> * Pin good version of huggingface_hub * [Flax T5] Fix weight initialization and fix docs (#12327) * finish t5 flax fixes * improve naming * Release: v4.8.0 * v4.9.0.dev0 * Update training_args.py (#12328) mention in `save_strategy` param description that `load_best_model_at_end` can override * [Deepspeed] new docs (#12077) * document sub_group_size * style * install + issues reporting * style * style * Update docs/source/main_classes/deepspeed.rst Co-authored-by:
Richard Liaw <rliaw@berkeley.edu> * [examples/Flax] move the examples table up (#12341) * Fix torchscript tests (#12336) * Fix torchscript tests * Better test * Remove bogus print * Document patch release v4.8.1 * Add flax/jax quickstart (#12342) * Update README.md * fixed typo (#12356) * Fix exception in prediction loop occurring for certain batch sizes (#12350) * fix distributed_concat for scalar outputs * Update README.md * fixed typo (#12356) * simplify fix with terser syntax Co-authored-by:
michal pitr <21157924+MichalPitr@users.noreply.github.com> Co-authored-by:
Suzana Ilić <io.suzanai@gmail.com> * Apply suggestions from code review Co-authored-by:
SaulLu <55560583+SaulLu@users.noreply.github.com> * correct tokenizer * finish * finish * finish * finish Co-authored-by:
Jipeng Huang <jihuan@microsoft.com> * minor fixes in original RAG training (#12395) * Added talks (#12415) * Easily train a new fast tokenizer from a given one (#12361) * [WIP] Easily train a new fast tokenizer from a given one * Fix test * Roll out to other tokenizers and add tests * Fix bug with unk id and add emoji to test * Really use something different in test * Implement special tokens map * Map special tokens in the Transformers tokenizers * Fix test * Make test more robust * Fix test for BPE * More robust map and test Co-authored-by SaulLu * Test file * Stronger tests Co-authored-by:
SaulLu <lucilesaul.com@gmail.com> * Map unk token for Wordpiece and address review comment * Fix lowercase test and address review comment * Fix all tests * Simplify test * Fix tests for realsies * Easily train a new fast tokenizer from a given one - tackle the special tokens format (str or AddedToken) (#12420) * Propose change in tests regarding lower case * add new test for special tokens types * put back the test part about decoding * add feature: the AddedToken is re-build with the different mapped content * Address review comment: simplify AddedToken building Co-authored-by:
ctheodoris <seanymphoceana@yahoo.com> Co-authored-by:
Teven <teven.lescao@gmail.com> Co-authored-by:
Nick Lane-Smith <nlanesmith@gmail.com> Co-authored-by:
Shiro T <stsuchi@users.noreply.github.com> Co-authored-by:
Wang Ran (汪然) <wrran@outlook.com> Co-authored-by:
Ahmet Akkoç <themadprogramer@gmail.com> Co-authored-by:
francescorubbo <francescorubbo@users.noreply.github.com> Co-authored-by:
Daniel Stancl <46073029+stancld@users.noreply.github.com> Co-authored-by:
talkhaldi <tareq.alkhaldi@gmail.com> Co-authored-by:
joerenner <joepeterrenner@gmail.com> Co-authored-by:
Avital Oliver <avitalo@google.com> Co-authored-by:
Josh Tanner <mindful.jt@gmail.com> Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by:
Bhadresh Savani <bhadreshpsavani@gmail.com> Co-authored-by:
Jayendra <jayendra0parmar@gmail.com> Co-authored-by:
Philip May <philip@may.la> Co-authored-by:
Nicholas Vadivelu <nicholas.vadivelu@gmail.com> Co-authored-by:
Shamane Siri <shamane@ahlab.org> Co-authored-by:
Fan Zhang <zhangfan.tju@gmail.com> Co-authored-by:
Riccardo Bassani <48254418+BassaniRiccardo@users.noreply.github.com> Co-authored-by:
Volodymyr Byno <volodymyr.byno@gmail.com> Co-authored-by:
Jeoung-Minju <51041861+JminJ@users.noreply.github.com> Co-authored-by:
Alberto Villa <a.villa.diez@gmail.com> Co-authored-by:
Gunjan Chhablani <chhablani.gunjan@gmail.com> Co-authored-by:
Kou Yong Kang <kou.yongkang@dhs.sg> Co-authored-by:
Shiva Pundir <36535845+ceevaaa@users.noreply.github.com> Co-authored-by:
François Lagunas <francois.lagunas@gmail.com> Co-authored-by:
Peter Izsak <232524+peteriz@users.noreply.github.com> Co-authored-by:
Russell Klopfer <russell@klopfer.us> Co-authored-by:
Mario Šaško <mariosasko777@gmail.com> Co-authored-by:
cdleong <4109253+cdleong@users.noreply.github.com> Co-authored-by:
Koichi Yasuoka <yasuoka@kanji.zinbun.kyoto-u.ac.jp> Co-authored-by:
Anton Lozhkov <aglozhkov@gmail.com> Co-authored-by:
kumapo <kumapo@users.noreply.github.com> Co-authored-by:
Tobias Norlund <tobias@norlund.se> Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com> Co-authored-by:
Bhavitvya Malik <bhavitvya.malik@gmail.com> Co-authored-by:
Jonathan Chang <31893406+cccntu@users.noreply.github.com> Co-authored-by:
Guido Novati <16716298+novatig@users.noreply.github.com> Co-authored-by:
Nicholas Broad <nbroad94@gmail.com> Co-authored-by:
Kumar Abhishek <kr.abhish@gmail.com> Co-authored-by:
Will Rice <will@spokestack.io> Co-authored-by:
Vasudev Gupta <7vasudevgupta@gmail.com> Co-authored-by:
Kilian Kluge <32523967+ionicsolutions@users.noreply.github.com> Co-authored-by:
Amog Kamsetty <amogkam@users.noreply.github.com> Co-authored-by:
Philipp Schmid <32632186+philschmid@users.noreply.github.com> Co-authored-by:
Xa9aX ツ <mishradiganta91@gmail.com> Co-authored-by:
Vishal Burman <vishal.a.burman23@gmail.com> Co-authored-by:
Hamid Shojanazeri <hamid.nazeri2010@gmail.com> Co-authored-by:
Stefan Schweter <stefan@schweter.it> Co-authored-by:
Kevin Canwen Xu <canwenxu@126.com> Co-authored-by:
David Fan <30608893+jiafatom@users.noreply.github.com> Co-authored-by:
chenht2010 <chenht2010@yahoo.com> Co-authored-by:
Michael Benayoun <mickbenayoun@gmail.com> Co-authored-by:
Sam Havens <47401552+sam-qordoba@users.noreply.github.com> Co-authored-by:
Marc van Zee <marcvanzee@gmail.com> Co-authored-by:
jglaser <glaserj@ornl.gov> Co-authored-by:
Kai Fricke <krfricke@users.noreply.github.com> Co-authored-by:
cronoik <johannes.schaffrath@mail.de> Co-authored-by:
Taha ValizadehAslani <47432410+TahaAslani@users.noreply.github.com> Co-authored-by:
Funtowicz Morgan <mfuntowicz@users.noreply.github.com> Co-authored-by:
Will Rice <wrice20@gmail.com> Co-authored-by:
Jabin Huang <huangjipengnju@gmail.com> Co-authored-by:
fcakyon <34196005+fcakyon@users.noreply.github.com>
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- 20 May, 2021 1 commit
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yujun authored
* add roformer * Update docs/source/model_doc/roformer.rst Co-authored-by:
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- 08 Apr, 2021 1 commit
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Sylvain Gugger authored
* Add support for multiple models for one config in auto classes * Use get_values everywhere * Prettier doc
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- 15 Feb, 2021 1 commit
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Julien Plu authored
* Add check-ops script * Finish to implement check_tf_ops and start the test * Make the test mandatory only for BERT * Update tf_ops folder * Remove useless classes * Add the ONNX test for GPT2 and BART * Add a onnxruntime slow test + better opset flexibility * Fix test + apply style * fix tests * Switch min opset from 12 to 10 * Update src/transformers/file_utils.py Co-authored-by:
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- 26 Jan, 2021 1 commit
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Daniel Stancl authored
* Add head_mask/decoder_head_mask for TF BART models * Add head_mask and decoder_head_mask input arguments for TF BART-based models as a TF counterpart to the PR #9569 * Add test_headmasking functionality to tests/test_modeling_tf_common.py * TODO: Add a test to verify that we can get a gradient back for importance score computation * Remove redundant #TODO note Remove redundant #TODO note from tests/test_modeling_tf_common.py * Fix assertions * Make style * Fix ...Model input args and adjust one new test * Add back head_mask and decoder_head_mask to BART-based ...Model after the last commit * Remove head_mask ande decoder_head_mask from input_dict in TF test_train_pipeline_custom_model as these two have different shape than other input args (Necessary for passing this test) * Revert adding global_rng in test_modeling_tf_common.py
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- 11 Jan, 2021 1 commit
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Julien Plu authored
* Start rework resizing * Rework bias/decoder resizing * Full resizing rework * Full resizing rework * Start to update the models with the new approach * Finish to update the models * Update all the tests * Update the template * Fix tests * Fix tests * Test a new approach * Refactoring * Refactoring * Refactoring * New rework * Rework BART * Rework bert+blenderbot * Rework CTRL * Rework Distilbert * Rework DPR * Rework Electra * Rework Flaubert * Rework Funnel * Rework GPT2 * Rework Longformer * Rework Lxmert * Rework marian+mbart * Rework mobilebert * Rework mpnet * Rework openai * Rework pegasus * Rework Roberta * Rework T5 * Rework xlm+xlnet * Rework template * Fix TFT5EncoderOnly + DPRs * Restore previous methods * Fix Funnel * Fix CTRL and TransforXL * Apply style * Apply Sylvain's comments * Restore a test in DPR * Address the comments * Fix bug * Apply style * remove unused import * Fix test * Forgot a method * missing test * Trigger CI * naming update * Rebase * Trigger CI
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- 14 Dec, 2020 1 commit
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Julien Plu authored
* Resize the biases in same time than the embeddings * Trigger CI * Biases are not reset anymore * Remove get_output_embeddings + better LM model detection in generation utils * Apply style * First test on BERT * Update docstring + new name * Apply the new resizing logic to all the models * fix tests * Apply style * Update the template * Fix naming * Fix naming * Apply style * Apply style * Remove unused import * Revert get_output_embeddings * Trigger CI * Update num parameters * Restore get_output_embeddings in TFPretrainedModel and add comments * Style * Add decoder resizing * Style * Fix tests * Separate bias and decoder resize * Fix tests * Fix tests * Apply style * Add bias resizing in MPNet * Trigger CI * Apply style
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- 08 Dec, 2020 1 commit
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Julien Plu authored
* Apply on BERT and ALBERT * Update TF Bart * Add input processing to TF BART * Add input processing for TF CTRL * Add input processing to TF Distilbert * Add input processing to TF DPR * Add input processing to TF Electra * Add deprecated arguments * Add input processing to TF XLM * remove unused imports * Add input processing to TF Funnel * Add input processing to TF GPT2 * Add input processing to TF Longformer * Add input processing to TF Lxmert * Apply style * Add input processing to TF Mobilebert * Add input processing to TF GPT * Add input processing to TF Roberta * Add input processing to TF T5 * Add input processing to TF TransfoXL * Apply style * Rebase on master * Fix wrong model name * Fix BART * Apply style * Put the deprecated warnings in the input processing function * Remove the unused imports * Raise an error when len(kwargs)>0 * test ModelOutput instead of TFBaseModelOutput * Address Patrick's comments * Address Patrick's comments * Add boolean processing for the inputs * Take into account the optional layers * Add missing/unexpected weights in the other models * Apply style * rename parameters * Apply style * Remove useless * Remove useless * Remove useless * Update num parameters * Fix tests * Address Patrick's comment * Remove useless attribute
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- 07 Dec, 2020 1 commit
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Sylvain Gugger authored
* Add copyright everywhere missing * Style
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- 23 Nov, 2020 2 commits
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LysandreJik authored
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LysandreJik authored
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- 19 Nov, 2020 1 commit
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Lysandre Debut authored
* CI should install `sentencepiece` * Requiring TF * Fixing some TFDPR bugs * remove return_dict=False/True hack Co-authored-by:
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- 17 Nov, 2020 1 commit
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Sylvain Gugger authored
* Put models in subfolders * Styling * Fix imports in tests * More fixes in test imports * Sneaky hidden imports * Fix imports in doc files * More sneaky imports * Finish fixing tests * Fix examples * Fix path for copies * More fixes for examples * Fix dummy files * More fixes for example * More model import fixes * Is this why you're unhappy GitHub? * Fix imports in conver command
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- 16 Nov, 2020 1 commit
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Sylvain Gugger authored
* Use the CI to identify failing tests * Remove from all examples and tests * More default switch * Fixes * More test fixes * More fixes * Last fixes hopefully * Use the CI to identify failing tests * Remove from all examples and tests * More default switch * Fixes * More test fixes * More fixes * Last fixes hopefully * Run on the real suite * Fix slow tests
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- 12 Nov, 2020 1 commit
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Julien Plu authored
* Add pretraining loss computation for TF Bert pretraining * Fix labels creation * Fix T5 model * restore T5 kwargs * try a generic fix for pretraining models * Apply style * Overide the prepare method for the BERT tests
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- 10 Nov, 2020 2 commits
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Lysandre Debut authored
* stash * TF Integration testing for ELECTRA, BERT, Longformer * Trigger slow tests * Apply suggestions from code review
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Julien Chaumond authored
* fix typo * rm use_cdn & references, and implement new hf_bucket_url * I'm pretty sure we don't need to `read` this file * same here * [BIG] file_utils.networking: do not gobble up errors anymore * Fix CI
😇 * Apply suggestions from code review Co-authored-by:Sam Shleifer <sshleifer@gmail.com> * Also implement revision in pipelines In the case where we're passing a task name or a string model identifier * Fix CI
😇 * Fix CI * [hf_api] new methods + command line implem * make style * Final endpoints post-migration * Fix post-migration * Py3.6 compat cc @stefan-it Thank you @stas00 Co-authored-by:
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- 05 Oct, 2020 1 commit
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Julien Plu authored
* First try * Fix TF utils * Handle authorized unexpected keys when loading weights * Add several more authorized unexpected keys * Apply style * Fix test * Address Patrick's comments. * Update src/transformers/modeling_tf_utils.py Co-authored-by:
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- 24 Aug, 2020 1 commit
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Sylvain Gugger authored
* Run new isort * More changes * Update CI, CONTRIBUTING and benchmarks
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- 13 Aug, 2020 1 commit
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Stas Bekman authored
* cleanup torch unittests: part 2 * remove trailing comma added by isort, and which breaks flake * one more comma * revert odd balls * part 3: odd cases * more ["key"] -> .key refactoring * .numpy() is not needed * more unncessary .numpy() removed * more simplification
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- 10 Aug, 2020 1 commit
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Lysandre Debut authored
* TFAlbertFor{TokenClassification, MultipleChoice} * Patch models * BERT and TF BERT info s * Update check_repo
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- 05 Aug, 2020 1 commit
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Sylvain Gugger authored
* TF outputs and test on BERT * Albert to DistilBert * All remaining TF models except T5 * Documentation * One file forgotten * TF outputs and test on BERT * Albert to DistilBert * All remaining TF models except T5 * Documentation * One file forgotten * Add new models and fix issues * Quality improvements * Add T5 * A bit of cleanup * Fix for slow tests * Style
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- 07 Jul, 2020 1 commit
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Patrick von Platen authored
[Almost all TF models] TF clean up: add missing CLM / MLM loss; fix T5 naming and keras compile (#5395) * add first version of clm tf * make style * add more tests for bert * update tf clm loss * fix tests * correct tf ner script * add mlm loss * delete bogus file * clean tf auto model + add tests * finish adding clm loss everywhere * fix training in distilbert * fix flake8 * save intermediate * fix tf t5 naming * remove prints * finish up * up * fix tf gpt2 * fix new test utils import * fix flake8 * keep backward compatibility * Update src/transformers/modeling_tf_albert.py Co-authored-by:
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- 01 Jul, 2020 1 commit
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Sam Shleifer authored
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- 16 Jun, 2020 1 commit
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Amil Khare authored
Co-authored-by:
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- 11 Jun, 2020 1 commit
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Sylvain Gugger authored
* Support multiple choice in tf common model tests * Add the input_embeds test
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- 02 Jun, 2020 1 commit
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Julien Chaumond authored
* Kill model archive maps * Fixup * Also kill model_archive_map for MaskedBertPreTrainedModel * Unhook config_archive_map * Tokenizers: align with model id changes * make style && make quality * Fix CI
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- 01 May, 2020 1 commit
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Julien Chaumond authored
There's an inconsistency right now where: - we load some models into CACHE_DIR - and some models in the default cache - and often, in both for the same models When running the RUN_SLOW tests, this takes a lot of disk space, time, and bandwidth. I'd rather always use the default cache
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- 06 Jan, 2020 2 commits
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alberduris authored
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alberduris authored
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- 22 Dec, 2019 8 commits
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Aymeric Augustin authored
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Aymeric Augustin authored
I suspect the wrapper classes were created in order to prevent the abstract base class (TF)CommonModelTester from being included in test discovery and running, because that would fail. I solved this by replacing the abstract base class with a mixin. Code changes are just de-indenting and automatic reformattings performed by black to use the extra line space.
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Aymeric Augustin authored
This construct isn't used anymore these days. Running python tests/test_foo.py puts the tests/ directory on PYTHONPATH, which isn't representative of how we run tests. Use python -m unittest tests/test_foo.py instead.
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Aymeric Augustin authored
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Aymeric Augustin authored
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Aymeric Augustin authored
Do manually what autoflake couldn't manage.
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Aymeric Augustin authored
This change is mostly autogenerated with: $ python -m autoflake --in-place --recursive examples templates transformers utils hubconf.py setup.py I made minor changes in the generated diff. -
Aymeric Augustin authored
This is the result of: $ isort --recursive examples templates transformers utils hubconf.py setup.py
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