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Author SHA1 Message Date
Patrick von Platen 95f888fd6a
Update README.md 2021-09-24 09:53:37 +02:00
Josh Devins 678bb248d0
Make assertions only if actually chunking forward (#13598) 
This moves the assertion on checking input dimensions into a block that will only be called if the function is actually going to do chunking forward. This is often not the case at inference time and PyTorch tracing a model with this assertion in it leads to a tracing warning.

TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  input_tensor.shape[chunk_dim] == tensor_shape for input_tensor in input_tensors
 2021-09-24 08:52:15 +02:00
Patrick von Platen 4a320f6c9a
[ASR] Add official ASR CTC example to `examples/pytorch/speech-recognition` (#13620) 
* up

* rename

* add asr example

* add auto feature extractor

* some more fixes

* correct layerdrop

* correct for multi-gpu dist

* clean up

* refactor

* refactor

* more fixes

* more fixes

* clean-up

* finish

* up

* Apply suggestions from code review

* fix isort

* update

* up

* add note

* apply surajs suggestions

* Apply suggestions from code review

Co-authored-by: Suraj Patil <surajp815@gmail.com>

* isort

* small change

* Apply suggestions from code review

Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* Apply suggestions from code review

Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* add hubert

* Update examples/pytorch/speech-recognition/run_speech_recognition_ctc.py

Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>
 2021-09-24 07:01:11 +02:00
Lysandre Debut 41c186d2a4
Replace torch.set_grad_enabled by torch.no_grad (#13703) 2021-09-23 17:08:29 -04:00
Md Saiful Islam Sayef f888e5c372
Add FSNER example in research_projects (#13712) 
* Add example use of few-shot named entity recognition model in research_projects folder.

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update fsner example README.md.

- Change wrong import FSNERTokenizerWrapper to FSNERTokenizerUtils in the example code
- Add a link to the model identifier

* Update examples/research_projects/fsner/src/fsner/model.py

Fix spelling mistake in the default parameter of pretrained model name.

Co-authored-by: Stefan Schweter <stefan@schweter.it>

* Add example use of few-shot named entity recognition model in research_projects folder.

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update fsner example README.md.

- Change wrong import FSNERTokenizerWrapper to FSNERTokenizerUtils in the example code
- Add a link to the model identifier

* Update examples/research_projects/fsner/src/fsner/model.py

Fix spelling mistake in the default parameter of pretrained model name.

Co-authored-by: Stefan Schweter <stefan@schweter.it>

* Run Checking/fixing examples/flax/language-modeling/run_clm_flax.py examples/flax/question-answering/run_qa.py examples/flax/question-answering/utils_qa.py examples/flax/token-classification/run_flax_ner.py examples/legacy/multiple_choice/utils_multiple_choice.py examples/legacy/seq2seq/seq2seq_trainer.py examples/legacy/token-classification/utils_ner.py examples/pytorch/image-classification/run_image_classification.py examples/pytorch/language-modeling/run_clm.py examples/pytorch/language-modeling/run_clm_no_trainer.py examples/pytorch/language-modeling/run_mlm.py examples/pytorch/language-modeling/run_mlm_no_trainer.py examples/pytorch/language-modeling/run_plm.py examples/pytorch/multiple-choice/run_swag.py examples/pytorch/multiple-choice/run_swag_no_trainer.py examples/pytorch/question-answering/run_qa.py examples/pytorch/question-answering/run_qa_beam_search.py examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py examples/pytorch/question-answering/run_qa_no_trainer.py examples/pytorch/summarization/run_summarization.py examples/pytorch/summarization/run_summarization_no_trainer.py examples/pytorch/test_examples.py examples/pytorch/text-classification/run_glue.py examples/pytorch/text-classification/run_glue_no_trainer.py examples/pytorch/text-classification/run_xnli.py examples/pytorch/token-classification/run_ner.py examples/pytorch/token-classification/run_ner_no_trainer.py examples/pytorch/translation/run_translation.py examples/pytorch/translation/run_translation_no_trainer.py examples/research_projects/adversarial/utils_hans.py examples/research_projects/distillation/grouped_batch_sampler.py examples/research_projects/fsner/setup.py examples/research_projects/fsner/src/fsner/__init__.py examples/research_projects/fsner/src/fsner/model.py examples/research_projects/fsner/src/fsner/tokenizer_utils.py examples/research_projects/jax-projects/big_bird/evaluate.py examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py examples/tensorflow/language-modeling/run_clm.py examples/tensorflow/multiple-choice/run_swag.py examples/tensorflow/question-answering/run_qa.py examples/tensorflow/summarization/run_summarization.py examples/tensorflow/text-classification/run_glue.py examples/tensorflow/translation/run_translation.py src/transformers/__init__.py src/transformers/commands/add_new_model.py src/transformers/configuration_utils.py src/transformers/convert_slow_tokenizer.py src/transformers/data/__init__.py src/transformers/data/data_collator.py src/transformers/data/datasets/glue.py src/transformers/data/datasets/language_modeling.py src/transformers/data/datasets/squad.py src/transformers/deepspeed.py src/transformers/dependency_versions_table.py src/transformers/feature_extraction_sequence_utils.py src/transformers/file_utils.py src/transformers/generation_flax_utils.py src/transformers/generation_logits_process.py src/transformers/generation_tf_utils.py src/transformers/generation_utils.py src/transformers/integrations.py src/transformers/modelcard.py src/transformers/modeling_flax_utils.py src/transformers/modeling_outputs.py src/transformers/modeling_tf_utils.py src/transformers/modeling_utils.py src/transformers/models/__init__.py src/transformers/models/albert/__init__.py src/transformers/models/albert/modeling_albert.py src/transformers/models/albert/modeling_flax_albert.py src/transformers/models/albert/tokenization_albert_fast.py src/transformers/models/auto/__init__.py src/transformers/models/auto/auto_factory.py src/transformers/models/auto/configuration_auto.py src/transformers/models/auto/dynamic.py src/transformers/models/auto/feature_extraction_auto.py src/transformers/models/auto/modeling_auto.py src/transformers/models/auto/modeling_flax_auto.py src/transformers/models/auto/modeling_tf_auto.py src/transformers/models/auto/tokenization_auto.py src/transformers/models/bart/configuration_bart.py src/transformers/models/bart/modeling_bart.py src/transformers/models/bart/modeling_flax_bart.py src/transformers/models/bart/modeling_tf_bart.py src/transformers/models/barthez/tokenization_barthez_fast.py src/transformers/models/beit/__init__.py src/transformers/models/beit/configuration_beit.py src/transformers/models/beit/modeling_beit.py src/transformers/models/beit/modeling_flax_beit.py src/transformers/models/bert/configuration_bert.py src/transformers/models/bert/modeling_bert.py src/transformers/models/bert/modeling_flax_bert.py src/transformers/models/bert_generation/configuration_bert_generation.py src/transformers/models/bert_generation/modeling_bert_generation.py src/transformers/models/big_bird/configuration_big_bird.py src/transformers/models/big_bird/modeling_big_bird.py src/transformers/models/big_bird/modeling_flax_big_bird.py src/transformers/models/big_bird/tokenization_big_bird_fast.py src/transformers/models/bigbird_pegasus/configuration_bigbird_pegasus.py src/transformers/models/bigbird_pegasus/modeling_bigbird_pegasus.py src/transformers/models/blenderbot/configuration_blenderbot.py src/transformers/models/blenderbot/modeling_blenderbot.py src/transformers/models/blenderbot/modeling_tf_blenderbot.py src/transformers/models/blenderbot_small/configuration_blenderbot_small.py src/transformers/models/blenderbot_small/modeling_blenderbot_small.py src/transformers/models/blenderbot_small/modeling_tf_blenderbot_small.py src/transformers/models/byt5/tokenization_byt5.py src/transformers/models/camembert/tokenization_camembert_fast.py src/transformers/models/canine/configuration_canine.py src/transformers/models/canine/modeling_canine.py src/transformers/models/clip/configuration_clip.py src/transformers/models/clip/convert_clip_original_pytorch_to_hf.py src/transformers/models/clip/modeling_clip.py src/transformers/models/clip/modeling_flax_clip.py src/transformers/models/clip/tokenization_clip.py src/transformers/models/convbert/modeling_convbert.py src/transformers/models/ctrl/configuration_ctrl.py src/transformers/models/deberta/modeling_tf_deberta.py src/transformers/models/deberta_v2/__init__.py src/transformers/models/deberta_v2/modeling_deberta_v2.py src/transformers/models/deberta_v2/modeling_tf_deberta_v2.py src/transformers/models/deit/configuration_deit.py src/transformers/models/deit/modeling_deit.py src/transformers/models/detr/configuration_detr.py src/transformers/models/detr/modeling_detr.py src/transformers/models/distilbert/__init__.py src/transformers/models/distilbert/configuration_distilbert.py src/transformers/models/distilbert/modeling_distilbert.py src/transformers/models/distilbert/modeling_flax_distilbert.py src/transformers/models/dpr/configuration_dpr.py src/transformers/models/dpr/modeling_dpr.py src/transformers/models/electra/modeling_electra.py src/transformers/models/electra/modeling_flax_electra.py src/transformers/models/encoder_decoder/__init__.py src/transformers/models/encoder_decoder/modeling_encoder_decoder.py src/transformers/models/encoder_decoder/modeling_flax_encoder_decoder.py src/transformers/models/flaubert/configuration_flaubert.py src/transformers/models/flaubert/modeling_flaubert.py src/transformers/models/fnet/__init__.py src/transformers/models/fnet/configuration_fnet.py src/transformers/models/fnet/convert_fnet_original_flax_checkpoint_to_pytorch.py src/transformers/models/fnet/modeling_fnet.py src/transformers/models/fnet/tokenization_fnet.py src/transformers/models/fnet/tokenization_fnet_fast.py src/transformers/models/fsmt/configuration_fsmt.py src/transformers/models/fsmt/modeling_fsmt.py src/transformers/models/funnel/configuration_funnel.py src/transformers/models/gpt2/__init__.py src/transformers/models/gpt2/configuration_gpt2.py src/transformers/models/gpt2/modeling_flax_gpt2.py src/transformers/models/gpt2/modeling_gpt2.py src/transformers/models/gpt2/modeling_tf_gpt2.py src/transformers/models/gpt_neo/configuration_gpt_neo.py src/transformers/models/gpt_neo/modeling_gpt_neo.py src/transformers/models/gptj/__init__.py src/transformers/models/gptj/configuration_gptj.py src/transformers/models/gptj/modeling_gptj.py src/transformers/models/herbert/tokenization_herbert_fast.py src/transformers/models/hubert/__init__.py src/transformers/models/hubert/configuration_hubert.py src/transformers/models/hubert/convert_hubert_original_s3prl_checkpoint_to_pytorch.py src/transformers/models/hubert/modeling_hubert.py src/transformers/models/hubert/modeling_tf_hubert.py src/transformers/models/ibert/modeling_ibert.py src/transformers/models/layoutlm/__init__.py src/transformers/models/layoutlm/configuration_layoutlm.py src/transformers/models/layoutlm/modeling_layoutlm.py src/transformers/models/layoutlmv2/__init__.py src/transformers/models/layoutlmv2/configuration_layoutlmv2.py src/transformers/models/layoutlmv2/feature_extraction_layoutlmv2.py src/transformers/models/layoutlmv2/modeling_layoutlmv2.py src/transformers/models/layoutlmv2/processing_layoutlmv2.py src/transformers/models/layoutlmv2/tokenization_layoutlmv2.py src/transformers/models/layoutlmv2/tokenization_layoutlmv2_fast.py src/transformers/models/led/configuration_led.py src/transformers/models/led/modeling_led.py src/transformers/models/longformer/modeling_longformer.py src/transformers/models/luke/configuration_luke.py src/transformers/models/luke/modeling_luke.py src/transformers/models/luke/tokenization_luke.py src/transformers/models/lxmert/configuration_lxmert.py src/transformers/models/m2m_100/configuration_m2m_100.py src/transformers/models/m2m_100/modeling_m2m_100.py src/transformers/models/m2m_100/tokenization_m2m_100.py src/transformers/models/marian/configuration_marian.py src/transformers/models/marian/modeling_flax_marian.py src/transformers/models/marian/modeling_marian.py src/transformers/models/marian/modeling_tf_marian.py src/transformers/models/mbart/configuration_mbart.py src/transformers/models/mbart/modeling_flax_mbart.py src/transformers/models/mbart/modeling_mbart.py src/transformers/models/mbart/tokenization_mbart.py src/transformers/models/mbart/tokenization_mbart_fast.py src/transformers/models/mbart50/tokenization_mbart50.py src/transformers/models/mbart50/tokenization_mbart50_fast.py src/transformers/models/megatron_bert/configuration_megatron_bert.py src/transformers/models/megatron_bert/convert_megatron_bert_checkpoint.py src/transformers/models/megatron_bert/modeling_megatron_bert.py src/transformers/models/megatron_gpt2/convert_megatron_gpt2_checkpoint.py src/transformers/models/openai/configuration_openai.py src/transformers/models/pegasus/__init__.py src/transformers/models/pegasus/configuration_pegasus.py src/transformers/models/pegasus/modeling_flax_pegasus.py src/transformers/models/pegasus/modeling_pegasus.py src/transformers/models/pegasus/modeling_tf_pegasus.py src/transformers/models/pegasus/tokenization_pegasus_fast.py src/transformers/models/prophetnet/configuration_prophetnet.py src/transformers/models/prophetnet/modeling_prophetnet.py src/transformers/models/rag/modeling_rag.py src/transformers/models/rag/modeling_tf_rag.py src/transformers/models/reformer/configuration_reformer.py src/transformers/models/reformer/tokenization_reformer_fast.py src/transformers/models/rembert/configuration_rembert.py src/transformers/models/rembert/modeling_rembert.py src/transformers/models/rembert/tokenization_rembert_fast.py src/transformers/models/roberta/modeling_flax_roberta.py src/transformers/models/roberta/modeling_roberta.py src/transformers/models/roberta/modeling_tf_roberta.py src/transformers/models/roformer/configuration_roformer.py src/transformers/models/roformer/modeling_roformer.py src/transformers/models/speech_encoder_decoder/__init__.py src/transformers/models/speech_encoder_decoder/configuration_speech_encoder_decoder.py src/transformers/models/speech_encoder_decoder/convert_speech_to_text_wav2vec2_seq2seq_original_to_pytorch.py src/transformers/models/speech_encoder_decoder/modeling_speech_encoder_decoder.py src/transformers/models/speech_to_text/configuration_speech_to_text.py src/transformers/models/speech_to_text/feature_extraction_speech_to_text.py src/transformers/models/speech_to_text/modeling_speech_to_text.py src/transformers/models/speech_to_text_2/__init__.py src/transformers/models/speech_to_text_2/configuration_speech_to_text_2.py src/transformers/models/speech_to_text_2/modeling_speech_to_text_2.py src/transformers/models/speech_to_text_2/processing_speech_to_text_2.py src/transformers/models/speech_to_text_2/tokenization_speech_to_text_2.py src/transformers/models/splinter/configuration_splinter.py src/transformers/models/splinter/modeling_splinter.py src/transformers/models/t5/configuration_t5.py src/transformers/models/t5/modeling_flax_t5.py src/transformers/models/t5/modeling_t5.py src/transformers/models/t5/modeling_tf_t5.py src/transformers/models/t5/tokenization_t5_fast.py src/transformers/models/tapas/__init__.py src/transformers/models/tapas/configuration_tapas.py src/transformers/models/tapas/convert_tapas_original_tf_checkpoint_to_pytorch.py src/transformers/models/tapas/modeling_tapas.py src/transformers/models/tapas/tokenization_tapas.py src/transformers/models/transfo_xl/configuration_transfo_xl.py src/transformers/models/visual_bert/modeling_visual_bert.py src/transformers/models/vit/configuration_vit.py src/transformers/models/vit/convert_dino_to_pytorch.py src/transformers/models/vit/modeling_flax_vit.py src/transformers/models/vit/modeling_vit.py src/transformers/models/wav2vec2/__init__.py src/transformers/models/wav2vec2/configuration_wav2vec2.py src/transformers/models/wav2vec2/convert_wav2vec2_original_s3prl_checkpoint_to_pytorch.py src/transformers/models/wav2vec2/feature_extraction_wav2vec2.py src/transformers/models/wav2vec2/modeling_flax_wav2vec2.py src/transformers/models/wav2vec2/modeling_wav2vec2.py src/transformers/models/wav2vec2/tokenization_wav2vec2.py src/transformers/models/xlm/configuration_xlm.py src/transformers/models/xlm_roberta/tokenization_xlm_roberta.py src/transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py src/transformers/models/xlnet/configuration_xlnet.py src/transformers/models/xlnet/tokenization_xlnet_fast.py src/transformers/onnx/convert.py src/transformers/onnx/features.py src/transformers/optimization.py src/transformers/pipelines/__init__.py src/transformers/pipelines/audio_classification.py src/transformers/pipelines/automatic_speech_recognition.py src/transformers/pipelines/base.py src/transformers/pipelines/conversational.py src/transformers/pipelines/feature_extraction.py src/transformers/pipelines/fill_mask.py src/transformers/pipelines/image_classification.py src/transformers/pipelines/object_detection.py src/transformers/pipelines/question_answering.py src/transformers/pipelines/table_question_answering.py src/transformers/pipelines/text2text_generation.py src/transformers/pipelines/text_classification.py src/transformers/pipelines/text_generation.py src/transformers/pipelines/token_classification.py src/transformers/pipelines/zero_shot_classification.py src/transformers/testing_utils.py src/transformers/tokenization_utils.py src/transformers/tokenization_utils_base.py src/transformers/tokenization_utils_fast.py src/transformers/trainer.py src/transformers/trainer_callback.py src/transformers/trainer_pt_utils.py src/transformers/trainer_seq2seq.py src/transformers/trainer_utils.py src/transformers/training_args.py src/transformers/training_args_seq2seq.py src/transformers/utils/dummy_detectron2_objects.py src/transformers/utils/dummy_flax_objects.py src/transformers/utils/dummy_pt_objects.py src/transformers/utils/dummy_tf_objects.py src/transformers/utils/dummy_tokenizers_objects.py src/transformers/utils/dummy_vision_objects.py tests/deepspeed/test_deepspeed.py tests/sagemaker/conftest.py tests/sagemaker/test_multi_node_data_parallel.py tests/test_configuration_auto.py tests/test_configuration_common.py tests/test_data_collator.py tests/test_feature_extraction_auto.py tests/test_feature_extraction_layoutlmv2.py tests/test_feature_extraction_speech_to_text.py tests/test_feature_extraction_wav2vec2.py tests/test_file_utils.py tests/test_modeling_auto.py tests/test_modeling_bart.py tests/test_modeling_beit.py tests/test_modeling_bert.py tests/test_modeling_clip.py tests/test_modeling_common.py tests/test_modeling_convbert.py tests/test_modeling_deit.py tests/test_modeling_distilbert.py tests/test_modeling_encoder_decoder.py tests/test_modeling_flaubert.py tests/test_modeling_flax_albert.py tests/test_modeling_flax_bart.py tests/test_modeling_flax_beit.py tests/test_modeling_flax_distilbert.py tests/test_modeling_flax_encoder_decoder.py tests/test_modeling_flax_gpt2.py tests/test_modeling_flax_gpt_neo.py tests/test_modeling_flax_mt5.py tests/test_modeling_flax_pegasus.py tests/test_modeling_fnet.py tests/test_modeling_gpt2.py tests/test_modeling_gpt_neo.py tests/test_modeling_gptj.py tests/test_modeling_hubert.py tests/test_modeling_layoutlmv2.py tests/test_modeling_pegasus.py tests/test_modeling_rag.py tests/test_modeling_reformer.py tests/test_modeling_speech_encoder_decoder.py tests/test_modeling_speech_to_text.py tests/test_modeling_speech_to_text_2.py tests/test_modeling_tf_auto.py tests/test_modeling_tf_deberta_v2.py tests/test_modeling_tf_hubert.py tests/test_modeling_tf_pytorch.py tests/test_modeling_tf_wav2vec2.py tests/test_modeling_wav2vec2.py tests/test_onnx_v2.py tests/test_pipelines_audio_classification.py tests/test_pipelines_automatic_speech_recognition.py tests/test_pipelines_common.py tests/test_pipelines_conversational.py tests/test_pipelines_feature_extraction.py tests/test_pipelines_fill_mask.py tests/test_pipelines_image_classification.py tests/test_pipelines_object_detection.py tests/test_pipelines_question_answering.py tests/test_pipelines_summarization.py tests/test_pipelines_table_question_answering.py tests/test_pipelines_text2text_generation.py tests/test_pipelines_text_classification.py tests/test_pipelines_text_generation.py tests/test_pipelines_token_classification.py tests/test_pipelines_translation.py tests/test_pipelines_zero_shot.py tests/test_processor_layoutlmv2.py tests/test_processor_wav2vec2.py tests/test_sequence_feature_extraction_common.py tests/test_tokenization_auto.py tests/test_tokenization_byt5.py tests/test_tokenization_canine.py tests/test_tokenization_common.py tests/test_tokenization_fnet.py tests/test_tokenization_layoutlmv2.py tests/test_tokenization_luke.py tests/test_tokenization_mbart.py tests/test_tokenization_mbart50.py tests/test_tokenization_speech_to_text_2.py tests/test_tokenization_t5.py tests/test_tokenization_tapas.py tests/test_tokenization_xlm_roberta.py tests/test_trainer.py tests/test_trainer_distributed.py tests/test_trainer_tpu.py tests/test_utils_check_copies.py utils/check_copies.py utils/check_repo.py utils/notification_service.py utils/release.py utils/tests_fetcher.py
python utils/custom_init_isort.py
python utils/style_doc.py src/transformers docs/source --max_len 119
running deps_table_update
updating src/transformers/dependency_versions_table.py
python utils/check_copies.py
python utils/check_table.py
python utils/check_dummies.py
python utils/check_repo.py
Checking all models are public.
Checking all models are properly tested.
Checking all objects are properly documented.
Checking all models are in at least one auto class.
python utils/check_inits.py
python utils/tests_fetcher.py --sanity_check and fix suggested changes.

* Run black examples tests src utils
isort examples tests src utils
Skipped 1 files
make autogenerate_code
make[1]: Entering directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers'
running deps_table_update
updating src/transformers/dependency_versions_table.py
make[1]: Leaving directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers'
make extra_style_checks
make[1]: Entering directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers'
python utils/custom_init_isort.py
python utils/style_doc.py src/transformers docs/source --max_len 119
make[1]: Leaving directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers' for reformatting code.

* Add installation dependencies for examples/research_projects/fsner.

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Stefan Schweter <stefan@schweter.it>
 2021-09-23 17:04:15 -04:00
Li-Huai (Allan) Lin 1988849bbf
Handle `UnicodeDecodeError` (#13717) 2021-09-23 16:56:34 -04:00
kding1 8632a60d33
Add cpu distributed fine-tuning support for transformers Trainer API (#13574) 
* update trainer with cpu distributed fine-tuning support.

Signed-off-by: Ding, Ke <ke.ding@intel.com>

* Style.

* refinement on cpu dist training check.

Signed-off-by: Ding, Ke <ke.ding@intel.com>

* style.

Signed-off-by: Ding, Ke <ke.ding@intel.com>

* Test over private field not public one.

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

Co-authored-by: Morgan Funtowicz <funtowiczmo@gmail.com>
Co-authored-by: Funtowicz Morgan <mfuntowicz@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
 2021-09-23 18:15:27 +02:00
kding1 6a3a197fcd
Add SigOpt HPO to transformers trainer api (#13572) 
* add sigopt hpo to transformers.

Signed-off-by: Ding, Ke <ke.ding@intel.com>

* extend sigopt changes to test code and others..

Signed-off-by: Ding, Ke <ke.ding@intel.com>

* Style.

* fix style for sigopt integration.

Signed-off-by: Ding, Ke <ke.ding@intel.com>

* Add necessary information to run unittests on SigOpt.

Co-authored-by: Morgan Funtowicz <funtowiczmo@gmail.com>
 2021-09-23 17:01:51 +02:00
Stas Bekman 62832c962f
1x model size CPU memory usage for `from_pretrained` (#13466) 
* one possible solution

* low mem from_pretrained

* edge cases

* solve the persistent buffers

* style

* parametrize

* for later

* proper solution

* cleanup

* refactor; rework based on suggestions

* revert splitting into 2 parts, move checks into main func
 2021-09-22 19:33:09 -07:00
Lysandre Debut ca257a06cc
Fix torchscript tests (#13701) 2021-09-22 19:02:54 -04:00
Lysandre Debut 5b57075449
Add BlenderBot small tokenizer to the init (#13367) 
* Add BlenderBot small tokenizer to the init

* Update src/transformers/__init__.py

Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Style

* Bugfix

Co-authored-by: Suraj Patil <surajp815@gmail.com>
 2021-09-22 19:00:47 -04:00
Gunjan Chhablani 9e0fd78051
Fix reference to tpu short seq length (#13686) 2021-09-22 18:36:24 -04:00
Suraj Patil 6dc41d9f8e
add a note about tokenizer (#13696) 2021-09-22 17:18:13 -04:00
Anton Lozhkov 7c7d2ec952
[GPT-J] Use the `float16` checkpoints in integration tests (#13676) 
* Use fp16 checkpoints

* Style

* Fix outputs and disable OOM tests

* Correct another output

* Use a random smaller model for generation tests

* repo quickfix

* fix gradient checkpointing
 2021-09-22 23:17:57 +03:00
Lysandre Debut 0ecdf6de03
Patch training arguments issue (#13700) 
* Patch training arguments issue

* Update src/transformers/training_args.py

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

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
 2021-09-22 15:33:18 -04:00
Gunjan Chhablani 50c746eeb7
Allow only textual inputs to VisualBert (#13687) 2021-09-22 21:21:53 +05:30
Yih-Dar 93624bfee9
Fix non-negligible difference between GPT2 and TFGP2 (#13679) 
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2021-09-22 09:14:55 -04:00
MocktaiLEngineer a0c08aa36c
Assertions to exceptions (#13692) 
* Raise exceptions instead of using assertions for control flow #12789

* # coding=utf-8

* Raise exceptions instead of using assertions for control flow

* Raise exceptions instead of using assertions for control flow

* Update src/transformers/tokenization_utils.py

Raise exceptions instead of using assertions for control flow

Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Update src/transformers/tokenization_utils.py

Raise exceptions instead of using assertions for control flow

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

* Raise exceptions instead of using assertions for control flow

* test

* Raise exceptions instead of using assertions for control flow

Co-authored-by: MocktaiLEngineer <kavinarasu22@gmail.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
 2021-09-22 09:14:29 -04:00
Sylvain Gugger 27d4639779
Make gradient_checkpointing a training argument (#13657) 
* Make gradient_checkpointing a training argument

* Update src/transformers/modeling_utils.py

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

* Update src/transformers/configuration_utils.py

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

* Fix tests

* Style

* document Gradient Checkpointing as a performance feature

* Small rename

* PoC for not using the config

* Adapt BC to new PoC

* Forgot to save

* Rollout changes to all other models

* Fix typo

Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>
 2021-09-22 07:51:38 -04:00
Anton Lozhkov 75f6641eaf
[Wav2Vec2FeatureExtractor] Fix `extractor.pad()` dtype backwards compatibility (#13693) 
* Force dtype, add tests

* Local torch imports

* Remove unused logic (always ndarray)
 2021-09-22 11:02:54 +02:00
Patrick von Platen 8e908c8c74
[AutoTokenizer] Allow creation of tokenizers by tokenizer type (#13668) 
* up

* up
 2021-09-22 00:29:38 +02:00
Patrick von Platen 2608944dc2
up (#13688) 2021-09-22 00:28:43 +02:00
Kamal Raj 8565d38f30
Update modeling_flax_wav2vec2.py (#13680) 
conv kernel_size to Tuple,
Flax Version 0.3.5 breaking change, https://github.com/google/flax/releases/tag/v0.3.5
 2021-09-21 23:36:13 +02:00
Sylvain Gugger d16bec9530 Skip FlaxWav2Vec2 test until fixed 2021-09-21 16:17:01 -04:00
Nishant Prabhu ddd4d02f30
Layoutlm onnx support (Issue #13300) (#13562) 
* Add support for exporting PyTorch LayoutLM to ONNX

* Added tests for converting LayoutLM to ONNX

* Add support for exporting PyTorch LayoutLM to ONNX

* Added tests for converting LayoutLM to ONNX

* cleanup

* Removed regression/ folder

* Add support for exporting PyTorch LayoutLM to ONNX

* Added tests for converting LayoutLM to ONNX

* cleanup

* Fixed import error

* Remove unnecessary import statements

* Changed max_2d_positions from class variable to instance variable of the config class

* Add support for exporting PyTorch LayoutLM to ONNX

* Added tests for converting LayoutLM to ONNX

* cleanup

* Add support for exporting PyTorch LayoutLM to ONNX

* cleanup

* Fixed import error

* Changed max_2d_positions from class variable to instance variable of the config class

* Use super class generate_dummy_inputs method

Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* Add support for Masked LM, sequence classification and token classification

Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* Removed uncessary import and method

* Fixed code styling

* Raise error if PyTorch is not installed

* Remove unnecessary import statement

Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>
 2021-09-21 15:39:37 -04:00
Sylvain Gugger b7d264be0d
Add push_to_hub to no_trainer examples (#13659) 
* Add push_to_hub to no_trainer examples

* Quality

* Document integration

* Roll out to other examples
 2021-09-21 13:13:30 -04:00
Stas Bekman a722c301bf
[SinusoidalPositionalEmbedding] incorrect dtype when make_weights in forward (#13665) 2021-09-21 09:05:05 -07:00
Anton Lozhkov 1417978cd4
[SequenceFeatureExtractor] Rewrite padding logic from pure python to numpy (#13650) 
* Test np padding

* Pass feature extraction tests

* Update type hints

* Fix flaky integration tests

* Try a more stable waveform

* Add to_numpy jax support

* int32 attention masks

* Refactor normalization tests
 2021-09-21 17:10:13 +03:00
Kamal Raj 8d533e6ad6
Typo "UNKWOWN" -> "UNKNOWN" (#13675) 2021-09-21 09:11:26 -04:00
Kamal Raj 78807d86eb
[FLAX] Question Answering Example (#13649) 
* flax qa example

* Updated README:  Added Large model

* added utils_qa.py FULL_COPIES

* Updates:
1. Copyright Year updated
2. added dtype arg
3. passing seed and dtype to load model
4. Check eval flag before running eval

* updated README

* updated code comment
 2021-09-21 18:34:48 +05:30
Kamal Raj a2dec768a2
beit-flax (#13515) 
* beit-flax

* updated FLAX_BEIT_MLM_DOCSTRING

* removed bool_masked_pos from classification

* updated Copyright

* code refactoring: x -> embeddings

* updated test: rm from_pt

* Update docs/source/model_doc/beit.rst

* model code dtype updates and
other changes according to review

* relative_position_bias
revert back to pytorch design
 2021-09-21 13:34:19 +02:00
Patrick von Platen 48fa42e5d5
Add Speech AutoModels (#13655) 
* upload

* correct

* correct

* correct

* finish

* up

* up

* up again
 2021-09-21 08:50:33 +02:00
flozi00 ea92136597
Fix typo distilbert doc (#13643) 2021-09-20 15:10:33 -04:00
Lowin 28d5700aae
fix research_projects/mlm_wwm readme.md examples (#13646) 
the variables of run example is not correct
 2021-09-20 15:01:35 -04:00
Sylvain Gugger 002a078aff
Dynamically load model code from the Hub (#13467) 
* Dynamic model

* Use defensive flag

* Style

* Doc and arg rename

* Arg rename

* Add tests

* Apply suggestions from code review

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Apply suggestions from code review

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address review comments

* Apply suggestions from code review

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
 2021-09-20 13:59:21 -04:00
flozi00 aeb2dac04d
Change https:/ to https:// (#13644) 2021-09-20 12:31:46 -04:00
Stas Bekman 0af901e83f
[megatron_gpt2] checkpoint v3 (#13508) 
* [megatron_gpt2] checkpoint v3

* bug fix

* fixes

* switch to default  from  - which is what the current megatron-lm uses

* cleanup

* back compat
 2021-09-20 08:50:54 -07:00
Kamal Raj 936b3fdeaa
Update modeling_tf_deberta.py (#13654) 
Fixed expand_dims axis
 2021-09-20 11:11:04 -04:00
Ayaka Mikazuki 04976a32dc
Fix mT5 documentation (#13639) 
* Fix MT5 documentation

The abstract is incomplete

* MT5 -> mT5
 2021-09-20 07:53:31 -04:00
Chengjiang Li fe379f856b
[Fix]Make sure the args tb_writer passed to the TensorBoardCallback works (#13636) 2021-09-20 07:50:03 -04:00
Gunjan Chhablani d8049331dc
Add FNet (#13045) 
* Init FNet

* Update config

* Fix config

* Update model classes

* Update tokenizers to use sentencepiece

* Fix errors in model

* Fix defaults in config

* Remove position embedding type completely

* Fix typo and take only real numbers

* Fix type vocab size in configuration

* Add projection layer to embeddings

* Fix position ids bug in embeddings

* Add minor changes

* Add conversion script and remove CausalLM vestiges

* Fix conversion script

* Fix conversion script

* Remove CausalLM Test

* Update checkpoint names to dummy checkpoints

* Add tokenizer mapping

* Fix modeling file and corresponding tests

* Add tokenization test file

* Add PreTraining model test

* Make style and quality

* Make tokenization base tests work

* Update docs

* Add FastTokenizer tests

* Fix fast tokenizer special tokens

* Fix style and quality

* Remove load_tf_weights vestiges

* Add FNet to  main README

* Fix configuration example indentation

* Comment tokenization slow test

* Fix style

* Add changes from review

* Fix style

* Remove bos and eos tokens from tokenizers

* Add tokenizer slow test, TPU transforms, NSP

* Add scipy check

* Add scipy availabilty check to test

* Fix tokenizer and use correct inputs

* Remove remaining TODOs

* Fix tests

* Fix tests

* Comment Fourier Test

* Uncomment Fourier Test

* Change to google checkpoint

* Add changes from review

* Fix activation function

* Fix model integration test

* Add more integration tests

* Add comparison steps to MLM integration test

* Fix style

* Add masked tokenization fix

* Improve mask tokenization fix

* Fix index docs

* Add changes from review

* Fix issue

* Fix failing import in test

* some more fixes

* correct fast tokenizer

* finalize

* make style

* Remove additional tokenization logic

* Set do_lower_case to False

* Allow keeping accents

* Fix tokenization test

* Fix FNet Tokenizer Fast

* fix tests

* make style

* Add tips to FNet docs

Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>
 2021-09-20 13:24:30 +02:00
Suraj Patil 87d5057d86
fix typo (#13647) 2021-09-20 13:22:26 +05:30
calpt b518aaf193
Fix GPT2Config parameters in GPT2ModelTester (#13630) 2021-09-17 15:36:23 -04:00
Lysandre Debut 300ee0c7b2
Updated tiny distilbert models (#13631) 2021-09-17 15:35:34 -04:00
Yih-Dar afb07a79ab
fix some docstring in encoder-decoder models (#13611) 
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2021-09-17 17:39:35 +02:00
Alessandro Suglia 19b7acdd61
Cloned tensors after indexing in _compute_attn_output_with_global_indices (#13613) 
Co-authored-by: Alessandro Suglia <asuglia@fb.com>
 2021-09-17 17:05:49 +02:00
Alex Hedges ce32c69c0b
Use `config_dict_or_path` for deepspeed.zero.Init (#13614) 2021-09-17 07:57:27 -07:00
Matt 0eb02871dd
Removed console spam from misfiring warnings (#13625) 
* Removed misfiring warnings

* Revert "Removed misfiring warnings"

This reverts commit cea90de325056b9c1cbcda2bd2613a785c1639ce.

* Retain the warning, but only when the user actually overrides things

* Fix accidentally breaking just about every model on the hub simultaneously

* Style pass
 2021-09-17 15:44:33 +01:00
Li-Huai (Allan) Lin da8beaaf76
Fix special tokens not correctly tokenized (#13489) 
* Fix special tokens not correctly tokenized

* Add testing

* Fix

* Fix

* Use user workflows instead of directly assigning variables

* Enable test of fast tokenizers

* Update test of canine tokenizer
 2021-09-17 10:28:28 -04:00
Patrick von Platen 1f9dcfc1ef
[Trainer] Add nan/inf logging filter (#13619) 
* finish

* add test

* push

* remove unnecessary code

* up

* correct test

* Update src/transformers/training_args.py
 2021-09-17 16:21:59 +02:00