repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
robust-transformers | robust-transformers-main/tests/bort/__init__.py | 0 | 0 | 0 | py | |
robust-transformers | robust-transformers-main/tests/bort/test_modeling_tf_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... | 1,842 | 34.442308 | 99 | py |
robust-transformers | robust-transformers-main/tests/convnext/test_modeling_tf_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... | 11,023 | 38.092199 | 137 | 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/__init__.py | 0 | 0 | 0 | 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/__init__.py | 0 | 0 | 0 | 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_tf_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... | 14,179 | 43.451411 | 925 | 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/layoutlm/test_tokenization_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... | 2,603 | 33.72 | 132 | py |
robust-transformers | robust-transformers-main/tests/layoutlm/__init__.py | 0 | 0 | 0 | py | |
robust-transformers | robust-transformers-main/tests/deberta_v2/test_tokenization_deberta_v2.py | # coding=utf-8
# Copyright 2019 Hugging Face 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... | 7,796 | 53.908451 | 2,664 | 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/deberta_v2/test_modeling_tf_deberta_v2.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... | 10,552 | 36.824373 | 117 | py |
robust-transformers | robust-transformers-main/tests/deberta_v2/__init__.py | 0 | 0 | 0 | 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/wavlm/__init__.py | 0 | 0 | 0 | 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/__init__.py | 0 | 0 | 0 | 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/flaubert/__init__.py | 0 | 0 | 0 | py | |
robust-transformers | robust-transformers-main/tests/flaubert/test_modeling_tf_flaubert.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# 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 ... | 12,471 | 33.263736 | 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/mbart/__init__.py | 0 | 0 | 0 | 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/tests/bigbird_pegasus/__init__.py | 0 | 0 | 0 | py | |
robust-transformers | robust-transformers-main/docs/source/_config.py | # docstyle-ignore
INSTALL_CONTENT = """
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_first_cells = [{"type... | 359 | 39 | 112 | py |
robust-transformers | robust-transformers-main/utils/custom_init_isort.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... | 9,925 | 40.016529 | 116 | 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/get_modified_files.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... | 1,484 | 41.428571 | 122 | 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_tf_ops.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... | 3,574 | 34.04902 | 119 | py |
robust-transformers | robust-transformers-main/utils/prepare_for_doc_test.py | # coding=utf-8
# Copyright 2022 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... | 4,701 | 31.205479 | 128 | 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/release.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... | 6,066 | 37.643312 | 115 | py |
robust-transformers | robust-transformers-main/utils/download_glue_data.py | """ Script for downloading all GLUE data.
Original source: https://gist.github.com/W4ngatang/60c2bdb54d156a41194446737ce03e2e
Note: for legal reasons, we are unable to host MRPC.
You can either use the version hosted by the SentEval team, which is already tokenized,
or you can download the original data from (https://... | 8,285 | 51.443038 | 615 | 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/style_doc.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... | 20,676 | 35.791815 | 118 | py |
robust-transformers | robust-transformers-main/utils/test_module/custom_tokenization_fast.py | from transformers import BertTokenizerFast
from .custom_tokenization import CustomTokenizer
class CustomTokenizerFast(BertTokenizerFast):
slow_tokenizer_class = CustomTokenizer
pass
| 193 | 20.555556 | 48 | py |
robust-transformers | robust-transformers-main/utils/test_module/custom_tokenization.py | from transformers import BertTokenizer
class CustomTokenizer(BertTokenizer):
pass
| 88 | 13.833333 | 38 | py |
robust-transformers | robust-transformers-main/utils/test_module/__init__.py | 0 | 0 | 0 | py | |
robust-transformers | robust-transformers-main/utils/test_module/custom_processing.py | from transformers import ProcessorMixin
class CustomProcessor(ProcessorMixin):
feature_extractor_class = "AutoFeatureExtractor"
tokenizer_class = "AutoTokenizer"
| 172 | 23.714286 | 52 | py |
robust-transformers | robust-transformers-main/utils/test_module/custom_feature_extraction.py | from transformers import Wav2Vec2FeatureExtractor
class CustomFeatureExtractor(Wav2Vec2FeatureExtractor):
pass
| 117 | 18.666667 | 55 | 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 |
robust-transformers | robust-transformers-main/utils/test_module/custom_configuration.py | from transformers import PretrainedConfig
class CustomConfig(PretrainedConfig):
model_type = "custom"
def __init__(self, attribute=1, **kwargs):
self.attribute = attribute
super().__init__(**kwargs)
class NoSuperInitConfig(PretrainedConfig):
model_type = "custom"
def __init__(self,... | 380 | 21.411765 | 46 | 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/conftest.py | def pytest_addoption(parser):
parser.addoption("--device", action="store", default="cpu")
def pytest_generate_tests(metafunc):
# This is called for every test. Only get/set command line arguments
# if the argument is specified in the list of test "fixturenames".
option_value = metafunc.config.option.d... | 1,213 | 34.705882 | 76 | 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/compute_wer.py | #!/usr/bin/env python3
"""This script computes Word Error Rate and other related information.
Just given a reference and a hypothesis, the script closely matches
Kaldi's compute_wer binary.
Additionally, the script can produce human-readable edit distance
alignments, and find the top WER utterances and speakers.
Usag... | 5,817 | 34.47561 | 135 | py |
speechbrain | speechbrain-main/tools/g2p.py | """A convenience script to transcribe text into phonemes using a
pretrained Grapheme-to-Phoneme (G2P) model
The scripts to train G2P models are located in
recipes/LibriSpeech/G2P
Usage
-----
Command-line Grapheme-to-Phoneme conversion tool
optional arguments:
-h, --help show this help message and exit
... | 12,964 | 27.939732 | 93 | 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/__init__.py | """ Comprehensive speech processing toolkit
"""
import os
from .core import Stage, Brain, create_experiment_directory, parse_arguments
from . import alignment # noqa
from . import dataio # noqa
from . import decoders # noqa
from . import lobes # noqa
from . import lm # noqa
from . import nnet # noqa
from . import... | 627 | 23.153846 | 76 | 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/tokenizers/__init__.py | """ Package defining the SentencePiece tokenizer
"""
| 53 | 17 | 48 | 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/__init__.py | """ Package containing the different decoders (ctc, beamsearch ...)
"""
from .seq2seq import * # noqa
from .ctc import * # noqa
| 130 | 25.2 | 67 | 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/wordemb/__init__.py | 0 | 0 | 0 | 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/__init__.py | """ Package containing the different neural networks layers
"""
import os
__all__ = []
for filename in os.listdir(os.path.dirname(__file__)):
filename = os.path.basename(filename)
if filename.endswith(".py") and not filename.startswith("__"):
__all__.append(filename[:-3])
from . import * # noqa
from ... | 351 | 26.076923 | 66 | 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/__init__.py | """Package containing complex neural networks
"""
| 50 | 16 | 45 | py |
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