repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
robust-transformers | robust-transformers-main/tests/pipelines/test_pipelines_text_generation.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 7,361 | 42.56213 | 172 | py |
robust-transformers | robust-transformers-main/tests/pipelines/test_pipelines_table_question_answering.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 29,310 | 45.159055 | 121 | py |
robust-transformers | robust-transformers-main/tests/pipelines/test_pipelines_fill_mask.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 17,646 | 44.132992 | 119 | py |
robust-transformers | robust-transformers-main/tests/pipelines/test_pipelines_question_answering.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 18,250 | 49.980447 | 3,155 | py |
robust-transformers | robust-transformers-main/tests/pipelines/test_pipelines_common.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 23,340 | 37.326765 | 153 | py |
robust-transformers | robust-transformers-main/tests/pipelines/test_pipelines_audio_classification.py | # Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 4,140 | 31.606299 | 113 | py |
robust-transformers | robust-transformers-main/tests/byt5/test_tokenization_byt5.py | # coding=utf-8
# Copyright 2020 Google T5 Authors and HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | 14,880 | 44.929012 | 206 | py |
robust-transformers | robust-transformers-main/tests/vit/test_modeling_flax_vit.py | # Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 9,884 | 40.016598 | 117 | py |
robust-transformers | robust-transformers-main/tests/vit/test_modeling_vit.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 14,533 | 38.928571 | 118 | py |
robust-transformers | robust-transformers-main/tests/vit/test_feature_extraction_vit.py | # coding=utf-8
# Copyright 2021 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 6,658 | 33.682292 | 111 | py |
robust-transformers | robust-transformers-main/tests/vit/test_modeling_tf_vit.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 16,592 | 41.43734 | 121 | py |
robust-transformers | robust-transformers-main/tests/generation/test_generation_flax_logits_process.py | # coding=utf-8
# Copyright 2021 The HuggingFace Team Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a clone of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 12,690 | 41.023179 | 122 | py |
robust-transformers | robust-transformers-main/tests/generation/test_generation_stopping_criteria.py | # coding=utf-8
# Copyright 2020 The HuggingFace Team Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a clone of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 3,613 | 31.854545 | 98 | py |
robust-transformers | robust-transformers-main/tests/generation/test_generation_utils.py | # coding=utf-8
# Copyright 2020 The HuggingFace Team Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a clone of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 111,079 | 42.087665 | 293 | py |
robust-transformers | robust-transformers-main/tests/generation/test_generation_flax_utils.py | # Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 10,710 | 37.66787 | 106 | py |
robust-transformers | robust-transformers-main/tests/generation/test_generation_logits_process.py | # coding=utf-8
# Copyright 2020 The HuggingFace Team Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a clone of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 21,525 | 41.457594 | 122 | py |
robust-transformers | robust-transformers-main/tests/generation/test_generation_beam_search.py | # coding=utf-8
# Copyright 2020 The HuggingFace Team Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a clone of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 24,325 | 42.439286 | 119 | py |
robust-transformers | robust-transformers-main/tests/generation/test_generation_beam_constraints.py | # coding=utf-8
# Copyright 2020 The HuggingFace Team Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a clone of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 4,445 | 37.327586 | 118 | py |
robust-transformers | robust-transformers-main/tests/vilt/test_feature_extraction_vilt.py | # coding=utf-8
# Copyright 2021 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 9,796 | 37.876984 | 119 | py |
robust-transformers | robust-transformers-main/tests/vilt/test_modeling_vilt.py | # coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 24,361 | 39.069079 | 211 | py |
robust-transformers | robust-transformers-main/tests/xlm_roberta_xl/test_modeling_xlm_roberta_xl.py | # coding=utf-8
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 20,809 | 39.803922 | 117 | py |
robust-transformers | robust-transformers-main/tests/luke/test_modeling_luke.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 26,798 | 38.179825 | 199 | py |
robust-transformers | robust-transformers-main/tests/luke/test_tokenization_luke.py | # coding=utf-8
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 30,244 | 44.549699 | 213 | py |
robust-transformers | robust-transformers-main/tests/vit_mae/test_modeling_vit_mae.py | # coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 17,639 | 39.645161 | 121 | py |
robust-transformers | robust-transformers-main/tests/bort/test_modeling_bort.py | # coding=utf-8
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 1,893 | 35.423077 | 115 | py |
robust-transformers | robust-transformers-main/tests/convnext/test_modeling_convnext.py | # coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 13,511 | 38.741176 | 315 | py |
robust-transformers | robust-transformers-main/tests/convnext/test_feature_extraction_convnext.py | # coding=utf-8
# Copyright 2022s HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 6,844 | 33.923469 | 111 | py |
robust-transformers | robust-transformers-main/tests/layoutlmv2/test_feature_extraction_layoutlmv2.py | # coding=utf-8
# Copyright 2021 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 12,929 | 57.243243 | 3,793 | py |
robust-transformers | robust-transformers-main/tests/layoutlmv2/test_processor_layoutlmv2.py | # Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 22,549 | 51.44186 | 1,451 | py |
robust-transformers | robust-transformers-main/tests/layoutlmv2/test_modeling_layoutlmv2.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 22,608 | 41.259813 | 917 | py |
robust-transformers | robust-transformers-main/tests/layoutlmv2/test_tokenization_layoutlmv2.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 126,856 | 51.312165 | 1,398 | py |
robust-transformers | robust-transformers-main/tests/layoutlm/test_modeling_layoutlm.py | # coding=utf-8
# Copyright 2018 The Microsoft Research Asia LayoutLM Team Authors, The Hugging Face Team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/license... | 14,920 | 43.014749 | 937 | py |
robust-transformers | robust-transformers-main/tests/deberta_v2/test_modeling_deberta_v2.py | # coding=utf-8
# Copyright 2018 Microsoft Authors and the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | 11,432 | 39.257042 | 119 | py |
robust-transformers | robust-transformers-main/tests/wavlm/test_modeling_wavlm.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 23,759 | 39.477002 | 116 | py |
robust-transformers | robust-transformers-main/tests/marian/test_modeling_marian.py | # coding=utf-8
# Copyright 2021, The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | 29,030 | 36.604922 | 123 | py |
robust-transformers | robust-transformers-main/tests/marian/test_modeling_flax_marian.py | # Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 18,340 | 36.430612 | 118 | py |
robust-transformers | robust-transformers-main/tests/marian/test_tokenization_marian.py | # coding=utf-8
# Copyright 2020 Huggingface
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 7,926 | 56.861314 | 2,878 | py |
robust-transformers | robust-transformers-main/tests/marian/test_modeling_tf_marian.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 17,741 | 39.506849 | 117 | py |
robust-transformers | robust-transformers-main/tests/flaubert/test_modeling_flaubert.py | # coding=utf-8
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 16,077 | 34.888393 | 117 | py |
robust-transformers | robust-transformers-main/tests/mbart/test_modeling_flax_mbart.py | # Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 18,947 | 39.748387 | 118 | py |
robust-transformers | robust-transformers-main/tests/mbart/test_tokenization_mbart.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 13,969 | 41.852761 | 300 | py |
robust-transformers | robust-transformers-main/tests/mbart/test_modeling_tf_mbart.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 14,316 | 40.378613 | 112 | py |
robust-transformers | robust-transformers-main/tests/mbart/test_modeling_mbart.py | # coding=utf-8
# Copyright 2021, The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | 26,441 | 39.18541 | 298 | py |
robust-transformers | robust-transformers-main/tests/bigbird_pegasus/test_modeling_bigbird_pegasus.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 109,884 | 141.153946 | 43,043 | py |
robust-transformers | robust-transformers-main/utils/tests_fetcher.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 22,177 | 40.68797 | 117 | py |
robust-transformers | robust-transformers-main/utils/check_copies.py | # coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 17,421 | 39.800937 | 163 | py |
robust-transformers | robust-transformers-main/utils/check_inits.py | # coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 11,088 | 40.68797 | 115 | py |
robust-transformers | robust-transformers-main/utils/notification_service.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 27,052 | 36.730823 | 126 | py |
robust-transformers | robust-transformers-main/utils/check_repo.py | # coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 30,085 | 39.656757 | 141 | py |
robust-transformers | robust-transformers-main/utils/update_metadata.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 10,573 | 42.875519 | 117 | py |
robust-transformers | robust-transformers-main/utils/check_dummies.py | # coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 6,086 | 35.449102 | 118 | py |
robust-transformers | robust-transformers-main/utils/print_env_pt.py | #!/usr/bin/env python3
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | 1,006 | 33.724138 | 74 | py |
robust-transformers | robust-transformers-main/utils/check_table.py | # coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 9,799 | 41.060086 | 118 | py |
robust-transformers | robust-transformers-main/utils/notification_service_deprecated.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 8,174 | 36.5 | 127 | py |
robust-transformers | robust-transformers-main/utils/test_module/custom_modeling.py | import torch
from transformers import PreTrainedModel
from .custom_configuration import CustomConfig, NoSuperInitConfig
class CustomModel(PreTrainedModel):
config_class = CustomConfig
def __init__(self, config):
super().__init__(config)
self.linear = torch.nn.Linear(config.hidden_size, conf... | 772 | 21.735294 | 77 | py |
TileTrans | TileTrans-main/reconstructor.py | from typing import Union, List, Dict, Any
import torch
import torchvision
import torch.nn as nn
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import torchvision.models as models
import torch.utils.data as Data
import common
from metrics import Metrics, MetricsL1, MetricsGradient
f... | 7,797 | 47.7375 | 153 | py |
TileTrans | TileTrans-main/pruner.py | import os
from typing import List, Any
from itertools import zip_longest
import torch
from torch.nn import modules
from torch.utils.data.dataloader import DataLoader
import torchvision
import torch.nn as nn
import torch.utils.data as Data
import torchvision.transforms as transforms
import torchvision.models as models
... | 9,324 | 42.574766 | 153 | py |
TileTrans | TileTrans-main/common.py | import torch
import torchvision
import torch.nn as nn
import torchvision.models as models
import torch.utils.data as Data
import numpy as np
import matplotlib.pyplot as plt
import sys
import torchvision.transforms as transforms
import torchvision.datasets as datasets
def print_model_weight(net):
for layer in net.c... | 3,712 | 37.278351 | 155 | py |
TileTrans | TileTrans-main/metrics.py | import os
from typing import List, Any
import torch
import torch.nn as nn
from common import get_layers
class Metrics():
pass
class MetricsL1(Metrics):
@staticmethod
def eval(layer: nn.Module, *agrs: Any, **kargs: Any):
return torch.abs(layer.weight)
@staticmethod
def hook_func(*args... | 1,626 | 26.576271 | 82 | py |
TileTrans | TileTrans-main/train.py | import torch
import torchvision
import torch.nn as nn
import torch.utils.data as Data
import torch.distributed as dist
import numpy as np
import matplotlib.pyplot as plt
import torchvision.models as models
import torchvision.transforms as transforms
GPU_NUM=2
def check_correct_rate(net, test_loader):
correct_num ... | 3,058 | 30.214286 | 136 | py |
speechbrain | speechbrain-main/setup.py | #!/usr/bin/env python3
import os
import sys
import site
import setuptools
from distutils.core import setup
# Editable install in user site directory can be allowed with this hack:
# https://github.com/pypa/pip/issues/7953.
site.ENABLE_USER_SITE = "--user" in sys.argv[1:]
with open("README.md") as f:
long_descrip... | 1,280 | 25.6875 | 72 | py |
speechbrain | speechbrain-main/tools/profiling/profile.py | """Example recipe to benchmark SpeechBrain using PyTorch profiling.
A pretrained interference is benchmarked for real-time factors and memory peaks across audio durations and batch sizes.
Profiling is carried out either on random data (pure noise) or on an example file that is truncated and repeated to
be representati... | 13,246 | 32.45202 | 119 | py |
speechbrain | speechbrain-main/speechbrain/core.py | """Core SpeechBrain code for running experiments.
Authors
* Peter Plantinga 2020
* Abdel Heba 2020
* Mirco Ravanelli 2020
* Aku Rouhe 2021
* Andreas Nautsch 2022
"""
import os
import sys
import yaml
import time
import torch
import shutil
import logging
import inspect
import pathlib
import argparse
import tempfil... | 54,493 | 36.608006 | 102 | py |
speechbrain | speechbrain-main/speechbrain/tokenizers/SentencePiece.py | """Library for Byte-pair-encoding (BPE) tokenization.
Authors
* Abdelwahab Heba 2020
* Loren Lugosch 2020
"""
import os.path
import torch
import logging
import csv
import json
import sentencepiece as spm
from speechbrain.dataio.dataio import merge_char
from speechbrain.utils import edit_distance
from speechbrain.uti... | 19,212 | 40.229614 | 119 | py |
speechbrain | speechbrain-main/speechbrain/decoders/seq2seq.py | """Decoding methods for seq2seq autoregressive model.
Authors
* Adel Moumen 2022
* Ju-Chieh Chou 2020
* Peter Plantinga 2020
* Mirco Ravanelli 2020
* Sung-Lin Yeh 2020
"""
import torch
import speechbrain as sb
from speechbrain.decoders.ctc import CTCPrefixScorer
class S2SBaseSearcher(torch.nn.Module):
"""S... | 56,679 | 33.560976 | 121 | py |
speechbrain | speechbrain-main/speechbrain/decoders/ctc.py | """Decoders and output normalization for CTC.
Authors
* Mirco Ravanelli 2020
* Aku Rouhe 2020
* Sung-Lin Yeh 2020
"""
import torch
from itertools import groupby
from speechbrain.dataio.dataio import length_to_mask
class CTCPrefixScorer:
"""This class implements the CTC prefix scorer of Algorithm 2 in
refe... | 13,350 | 34.413793 | 119 | py |
speechbrain | speechbrain-main/speechbrain/decoders/transducer.py | """Decoders and output normalization for Transducer sequence.
Author:
Abdelwahab HEBA 2020
Sung-Lin Yeh 2020
"""
import torch
from functools import partial
class TransducerBeamSearcher(torch.nn.Module):
"""
This class implements the beam-search algorithm for the transducer model.
Parameters
... | 19,715 | 35.309392 | 111 | py |
speechbrain | speechbrain-main/speechbrain/wordemb/transformer.py | """
A convenience wrapper for word embeddings retrieved out of
HuggingFace transformers (e.g. BERT)
Authors
* Artem Ploujnikov 2021
"""
import torch
import numpy as np
from torch import nn
def _last_n_layers(count):
return range(-count, 0)
class TransformerWordEmbeddings(nn.Module):
"""A wrapper to retri... | 9,176 | 30.003378 | 92 | py |
speechbrain | speechbrain-main/speechbrain/wordemb/util.py | """
Utilities for word embeddings
Authors
* Artem Ploujnikov 2021
"""
import torch
def expand_to_chars(emb, seq, seq_len, word_separator):
"""Expands word embeddings to a sequence of character
embeddings, assigning each character the word embedding
of the word to which it belongs
Arguments
-----... | 2,076 | 25.974026 | 76 | py |
speechbrain | speechbrain-main/speechbrain/nnet/embedding.py | """Library implementing embedding.
Authors
* Abdelwahab Heba 2020
"""
import torch
import logging
import torch.nn as nn
logger = logging.getLogger(__name__)
class Embedding(nn.Module):
"""Computes an embedding x = wx.
Arguments
---------
num_embeddings : int
Size of the dictionary of embe... | 3,928 | 33.165217 | 120 | py |
speechbrain | speechbrain-main/speechbrain/nnet/pooling.py | """Library implementing pooling.
Authors
* Titouan Parcollet 2020
* Mirco Ravanelli 2020
* Nauman Dawalatabad 2020
* Jianyuan Zhong 2020
* Sarthak Yadav 2022
"""
import torch
import logging
import torch.nn as nn
import torch.nn.functional as F
logger = logging.getLogger(__name__)
class Pooling1d(nn.Module):
... | 16,006 | 29.316288 | 114 | py |
speechbrain | speechbrain-main/speechbrain/nnet/losses.py | """
Losses for training neural networks.
Authors
* Mirco Ravanelli 2020
* Samuele Cornell 2020
* Hwidong Na 2020
* Yan Gao 2020
* Titouan Parcollet 2020
"""
import math
import torch
import logging
import functools
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
from itertools import perm... | 40,423 | 31.28754 | 117 | py |
speechbrain | speechbrain-main/speechbrain/nnet/CNN.py | """Library implementing convolutional neural networks.
Authors
* Mirco Ravanelli 2020
* Jianyuan Zhong 2020
* Cem Subakan 2021
* Davide Borra 2021
* Andreas Nautsch 2022
* Sarthak Yadav 2022
"""
import math
import torch
import logging
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
impo... | 47,329 | 30.261559 | 117 | py |
speechbrain | speechbrain-main/speechbrain/nnet/schedulers.py | """
Schedulers for updating hyperparameters (such as learning rate).
Authors
* Mirco Ravanelli 2020
* Peter Plantinga 2020
* Loren Lugosch 2020
"""
import math
import torch
import logging
from speechbrain.utils import checkpoints
logger = logging.getLogger(__name__)
def update_learning_rate(optimizer, new_lr, ... | 35,940 | 31.379279 | 119 | py |
speechbrain | speechbrain-main/speechbrain/nnet/quantisers.py | """
Gumbel Softmax implementation with multiple groups possible.
Authors
* Rudolf A. Braun 2022
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
class GumbelVectorQuantizer(nn.Module):
"""Vector quantization using gumbel softmax. Copied from fairseq implementation.
Arguments
-----... | 3,699 | 28.83871 | 104 | py |
speechbrain | speechbrain-main/speechbrain/nnet/RNN.py | """Library implementing recurrent neural networks.
Authors
* Mirco Ravanelli 2020
* Ju-Chieh Chou 2020
* Jianyuan Zhong 2020
* Loren Lugosch 2020
"""
import torch
import logging
import torch.nn as nn
from speechbrain.nnet.attention import (
ContentBasedAttention,
LocationAwareAttention,
KeyValueAttent... | 49,939 | 29.999379 | 82 | py |
speechbrain | speechbrain-main/speechbrain/nnet/linear.py | """Library implementing linear transformation.
Authors
* Mirco Ravanelli 2020
* Davide Borra 2021
"""
import torch
import logging
import torch.nn as nn
logger = logging.getLogger(__name__)
class Linear(torch.nn.Module):
"""Computes a linear transformation y = wx + b.
Arguments
---------
n_neuron... | 3,506 | 27.056 | 107 | py |
speechbrain | speechbrain-main/speechbrain/nnet/dropout.py | """Library implementing dropout.
Authors
* Mirco Ravanelli 2020
"""
import torch # noqa: F401
import logging
import torch.nn as nn
logger = logging.getLogger(__name__)
class Dropout2d(nn.Module):
"""This function implements dropout 2d. It randomly put zeros on
entire channels.
Arguments
--------... | 1,320 | 22.175439 | 72 | py |
speechbrain | speechbrain-main/speechbrain/nnet/activations.py | """Library implementing activation functions.
Authors
* Mirco Ravanelli 2020
* Jianyuan Zhong 2020
"""
import torch
import logging
import torch.nn.functional as F
logger = logging.getLogger(__name__)
class Softmax(torch.nn.Module):
"""Computes the softmax of a 2d, 3d, or 4d input tensor.
Arguments
-... | 3,474 | 23.300699 | 144 | py |
speechbrain | speechbrain-main/speechbrain/nnet/normalization.py | """Library implementing normalization.
Authors
* Mirco Ravanelli 2020
* Guillermo Cámbara 2021
* Sarthak Yadav 2022
"""
import torch
import torch.nn as nn
class BatchNorm1d(nn.Module):
"""Applies 1d batch normalization to the input tensor.
Arguments
---------
input_shape : tuple
The expec... | 18,623 | 28.942122 | 118 | py |
speechbrain | speechbrain-main/speechbrain/nnet/attention.py | """Library implementing attention modules.
Authors
* Ju-Chieh Chou 2020
* Jianyuan Zhong 2020
* Loren Lugosch 2020
* Samuele Cornell 2020
"""
import torch
import logging
import torch.nn as nn
import numpy as np
from typing import Optional
from speechbrain.dataio.dataio import length_to_mask
import torch.nn.functi... | 28,426 | 32.841667 | 149 | py |
speechbrain | speechbrain-main/speechbrain/nnet/containers.py | """Library for implementing cascade (sequences) of different neural modules.
Authors
* Peter Plantinga 2020
"""
import torch
import inspect
import logging
import operator
import functools
from speechbrain.nnet.linear import Linear
from speechbrain.utils.callchains import lengths_arg_exists
logger = logging.getLogge... | 13,475 | 33.911917 | 80 | py |
speechbrain | speechbrain-main/speechbrain/nnet/complex_networks/c_CNN.py | """Library implementing complex-valued convolutional neural networks.
Authors
* Titouan Parcollet 2020
"""
import torch
import torch.nn as nn
import logging
import torch.nn.functional as F
from speechbrain.nnet.CNN import get_padding_elem
from speechbrain.nnet.complex_networks.c_ops import (
unitary_init,
com... | 14,753 | 29.995798 | 95 | py |
speechbrain | speechbrain-main/speechbrain/nnet/complex_networks/c_normalization.py | """Library implementing complex-valued normalization.
Authors
* Titouan Parcollet 2020
"""
import torch
from torch.nn import Parameter
import numpy as np
from speechbrain.nnet.complex_networks.c_ops import multi_mean
class CBatchNorm(torch.nn.Module):
"""This class is implements the complex-valued batch-normal... | 26,368 | 34.730352 | 80 | py |
speechbrain | speechbrain-main/speechbrain/nnet/complex_networks/c_ops.py | """This library implements different operations needed by complex-
valued architectures.
This work is inspired by: "Deep Complex Networks" from Trabelsi C.
et al.
Authors
* Titouan Parcollet 2020
"""
import torch
import torch.nn.functional as F
import numpy as np
def check_complex_input(input_shape):
"""Che... | 9,840 | 29.28 | 80 | py |
speechbrain | speechbrain-main/speechbrain/nnet/complex_networks/c_RNN.py | """Library implementing complex-valued recurrent neural networks.
Authors
* Titouan Parcollet 2020
"""
import torch
import logging
from speechbrain.nnet.complex_networks.c_linear import CLinear
from speechbrain.nnet.complex_networks.c_normalization import (
CBatchNorm,
CLayerNorm,
)
logger = logging.getLogg... | 38,455 | 31.153846 | 97 | py |
speechbrain | speechbrain-main/speechbrain/nnet/complex_networks/c_linear.py | """Library implementing complex-valued linear transformation.
Authors
* Titouan Parcollet 2020
"""
import torch
import logging
from speechbrain.nnet.complex_networks.c_ops import (
affect_init,
complex_init,
unitary_init,
complex_linear_op,
check_complex_input,
)
logger = logging.getLogger(__nam... | 4,020 | 32.508333 | 97 | py |
speechbrain | speechbrain-main/speechbrain/nnet/transducer/transducer_joint.py | """Library implementing transducer_joint.
Author
Abdelwahab HEBA 2020
"""
import torch
import logging
import torch.nn as nn
logger = logging.getLogger(__name__)
class Transducer_joint(nn.Module):
"""Computes joint tensor between Transcription network (TN) & Prediction network (PN)
Arguments
------... | 3,106 | 31.364583 | 89 | py |
speechbrain | speechbrain-main/speechbrain/nnet/quaternion_networks/q_RNN.py | """Library implementing quaternion-valued recurrent neural networks.
Authors
* Titouan Parcollet 2020
"""
import torch
import logging
from speechbrain.nnet.quaternion_networks.q_linear import QLinear
from speechbrain.nnet.quaternion_networks.q_normalization import QBatchNorm
from torch import Tensor
from typing impo... | 40,503 | 32.06449 | 94 | py |
speechbrain | speechbrain-main/speechbrain/nnet/quaternion_networks/q_CNN.py | """Library implementing quaternion-valued convolutional neural networks.
Authors
* Titouan Parcollet 2020
"""
import torch
import torch.nn as nn
import logging
import torch.nn.functional as F
from speechbrain.nnet.CNN import get_padding_elem
from speechbrain.nnet.quaternion_networks.q_ops import (
unitary_init,
... | 20,523 | 32.980132 | 94 | py |
speechbrain | speechbrain-main/speechbrain/nnet/quaternion_networks/q_ops.py | """This library implements different operations needed by quaternion-
valued architectures.
This work is inspired by:
"Quaternion neural networks" - Parcollet T.
"Quaternion recurrent neural networks" - Parcollet T. et al.
"Quaternion convolutional neural networks for end-to-end automatic speech
recognition" - Parcolle... | 28,142 | 33.362637 | 80 | py |
speechbrain | speechbrain-main/speechbrain/nnet/quaternion_networks/q_normalization.py | """Library implementing quaternion-valued normalization.
Authors
* Titouan Parcollet 2020
"""
import torch
from torch.nn import Parameter
class QBatchNorm(torch.nn.Module):
"""This class implements the simplest form of a quaternion batchnorm as
described in : "Quaternion Convolutional Neural Network for
... | 5,396 | 31.908537 | 89 | py |
speechbrain | speechbrain-main/speechbrain/nnet/quaternion_networks/q_linear.py | """Library implementing quaternion-valued linear transformation.
Authors
* Titouan Parcollet 2020
"""
import torch
import logging
from speechbrain.nnet.quaternion_networks.q_ops import (
affect_init,
unitary_init,
quaternion_init,
quaternion_linear_op,
check_quaternion_input,
quaternion_linea... | 7,965 | 34.721973 | 94 | py |
speechbrain | speechbrain-main/speechbrain/nnet/loss/transducer_loss.py | """
Transducer loss implementation (depends on numba)
Authors
* Abdelwahab Heba 2020
"""
import torch
from torch.autograd import Function
from torch.nn import Module
try:
from numba import cuda
except ImportError:
err_msg = "The optional dependency Numba is needed to use this module\n"
err_msg += "Canno... | 14,074 | 38.985795 | 167 | py |
speechbrain | speechbrain-main/speechbrain/nnet/loss/stoi_loss.py | """Library for computing STOI computation.
Reference: "End-to-End Waveform Utterance Enhancement for Direct Evaluation
Metrics Optimization by Fully Convolutional Neural Networks", TASLP, 2018
Authors:
Szu-Wei, Fu 2020
"""
import torch
import torchaudio
import numpy as np
from speechbrain.utils.torch_audio_backen... | 6,489 | 28.770642 | 76 | py |
speechbrain | speechbrain-main/speechbrain/nnet/loss/guidedattn_loss.py | """The Guided Attention Loss implementation
This loss can be used to speed up the training of
models in which the correspondence between inputs and
outputs is roughly linear, and the attention alignments
are expected to be approximately diagonal, such as Grapheme-to-Phoneme
and Text-to-Speech
Authors
* Artem Ploujnik... | 5,760 | 31.184358 | 87 | py |
speechbrain | speechbrain-main/speechbrain/nnet/loss/si_snr_loss.py | """
# Authors:
* Szu-Wei, Fu 2021
* Mirco Ravanelli 2020
* Samuele Cornell 2020
* Hwidong Na 2020
* Yan Gao 2020
* Titouan Parcollet 2020
"""
import torch
import numpy as np
smallVal = np.finfo("float").eps # To avoid divide by zero
def si_snr_loss(y_pred_batch, y_true_batch, lens, reduction="mean"):
"""... | 1,912 | 27.132353 | 78 | py |
speechbrain | speechbrain-main/speechbrain/pretrained/interfaces.py | """Defines interfaces for simple inference with pretrained models
Authors:
* Aku Rouhe 2021
* Peter Plantinga 2021
* Loren Lugosch 2020
* Mirco Ravanelli 2020
* Titouan Parcollet 2021
* Abdel Heba 2021
* Andreas Nautsch 2022
* Pooneh Mousavi 20023
"""
import logging
import hashlib
import sys
import speechbrain... | 107,365 | 34.812542 | 122 | py |
speechbrain | speechbrain-main/speechbrain/dataio/legacy.py | """SpeechBrain Extended CSV Compatibility."""
from speechbrain.dataio.dataset import DynamicItemDataset
import collections
import csv
import pickle
import logging
import torch
import torchaudio
import re
logger = logging.getLogger(__name__)
TORCHAUDIO_FORMATS = ["wav", "flac", "aac", "ogg", "flac", "mp3"]
ITEM_POSTF... | 10,629 | 32.533123 | 79 | py |
speechbrain | speechbrain-main/speechbrain/dataio/dataio.py | """
Data reading and writing.
Authors
* Mirco Ravanelli 2020
* Aku Rouhe 2020
* Ju-Chieh Chou 2020
* Samuele Cornell 2020
* Abdel HEBA 2020
* Gaelle Laperriere 2021
* Sahar Ghannay 2021
* Sylvain de Langen 2022
"""
import os
import torch
import logging
import numpy as np
import pickle
import hashlib
import csv... | 34,200 | 28.560069 | 187 | py |
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