python_code stringlengths 0 679k | repo_name stringlengths 9 41 | file_path stringlengths 6 149 |
|---|---|---|
import torch
import numpy as np
from torch.utils.data.sampler import Sampler
class DistributedSampler(Sampler):
def __init__(self, dataset, batch_size, world_size, rank):
"""
Constructor for the DistributedSampler.
:param dataset: dataset
:param batch_size: local batch size
... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/sampler.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/helpers.py |
# Copyright (c) 2017 Keith Ito
""" from https://github.com/keithito/tacotron """
import re
import string
from . import cleaners
def _clean_text(text, cleaner_names, *args):
for name in cleaner_names:
cleaner = getattr(cleaners, name)
if not cleaner:
raise Exception('Unknown cleaner: %s'... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/text/__init__.py |
# Copyright (c) 2017 Keith Ito
# Copyright (c) 2019, NVIDIA CORPORATION. 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/LICE... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/text/numbers.py |
# Copyright (c) 2017 Keith Ito
""" from https://github.com/keithito/tacotron """
'''
Defines the set of symbols used in text input to the model.
The default is a set of ASCII characters that works well for English or text that has been run through Unidecode. For other data, you can modify _characters. See TRAINING_DA... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/text/symbols.py |
# Copyright (c) 2017 Keith Ito
# Copyright (c) 2019, NVIDIA CORPORATION. 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/LICE... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/text/cleaners.py |
# Copyright (c) 2021, NVIDIA CORPORATION. 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 appl... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/text/unidecoder/replacements.py |
# Copyright (c) 2021, NVIDIA CORPORATION. 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 appl... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/text/unidecoder/__init__.py |
# Copyright (c) 2021, NVIDIA CORPORATION. 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 appl... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/text/unidecoder/homoglyphs.py |
# Copyright (c) 2020, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/dali/data_loader.py |
DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/dali/__init__.py | |
# Copyright (c) 2020, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/dali/iterator.py |
# Copyright (c) 2020, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/common/dali/pipeline.py |
# Copyright (c) 2021, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/quartznet/config.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/QuartzNet/quartznet/model.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/train.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/inference.py |
# *****************************************************************************
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/triton/jasper_module.py |
# *****************************************************************************
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/triton/converter.py |
#!/usr/bin/python
# Copyright (c) 2019, NVIDIA CORPORATION. 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
#
# ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/triton/speech_utils.py |
#!/usr/bin/python
# Copyright (c) 2019, NVIDIA CORPORATION. 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
#
# U... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/triton/jasper-client.py |
DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/triton/pytorch/__init__.py | |
# *****************************************************************************
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/triton/pytorch/utils.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 applic... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/utils/convert_librispeech.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 applic... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/utils/download_librispeech.py |
DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/utils/__init__.py | |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 applic... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/utils/preprocessing_utils.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 applic... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/utils/download_utils.py |
import atexit
import glob
import os
import re
from pathlib import Path
import numpy as np
import torch
from torch.utils.tensorboard import SummaryWriter
import dllogger
from dllogger import StdOutBackend, JSONStreamBackend, Verbosity
tb_loggers = {}
class TBLogger:
"""
xyz_dummies: stretch the screen with... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/tb_dllogger.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/metrics.py |
# Copyright (c) 2021-2022, NVIDIA CORPORATION. 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 require... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/filter_warnings.py |
DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/__init__.py | |
import math
import random
import librosa
import torch
import torch.nn as nn
class BaseFeatures(nn.Module):
"""Base class for GPU accelerated audio preprocessing."""
__constants__ = ["pad_align", "pad_to_max_duration", "max_len"]
def __init__(self, pad_align, pad_to_max_duration, max_duration,
... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/features.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 applic... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/optimizers.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 applic... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/dataset.py |
import numpy as np
class BenchmarkStats:
""" Tracks statistics used for benchmarking. """
def __init__(self):
self.utts = []
self.times = []
self.losses = []
def update(self, utts, times, losses):
self.utts.append(utts)
self.times.append(times)
self.losses.... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/utils.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/audio.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/helpers.py |
# Copyright (c) 2017 Keith Ito
""" from https://github.com/keithito/tacotron """
import re
import string
from . import cleaners
def _clean_text(text, cleaner_names, *args):
for name in cleaner_names:
cleaner = getattr(cleaners, name)
if not cleaner:
raise Exception('Unknown cleaner: %s'... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/text/__init__.py |
# Copyright (c) 2017 Keith Ito
# Copyright (c) 2019, NVIDIA CORPORATION. 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/LICE... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/text/numbers.py |
# Copyright (c) 2017 Keith Ito
""" from https://github.com/keithito/tacotron """
'''
Defines the set of symbols used in text input to the model.
The default is a set of ASCII characters that works well for English or text that has been run through Unidecode. For other data, you can modify _characters. See TRAINING_DA... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/text/symbols.py |
# Copyright (c) 2017 Keith Ito
# Copyright (c) 2019, NVIDIA CORPORATION. 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/LICE... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/text/cleaners.py |
# Copyright (c) 2021, NVIDIA CORPORATION. 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 appl... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/text/unidecoder/replacements.py |
# Copyright (c) 2021, NVIDIA CORPORATION. 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 appl... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/text/unidecoder/__init__.py |
# Copyright (c) 2021, NVIDIA CORPORATION. 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 appl... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/text/unidecoder/homoglyphs.py |
# Copyright (c) 2020, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/dali/data_loader.py |
# Copyright (c) 2020, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/dali/__init__.py |
# Copyright (c) 2020, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/dali/iterator.py |
# Copyright (c) 2020, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/common/dali/pipeline.py |
import copy
import inspect
import typing
from ast import literal_eval
from contextlib import suppress
from numbers import Number
import yaml
from .model import JasperDecoderForCTC, JasperBlock, JasperEncoder
from common.audio import GainPerturbation, ShiftPerturbation, SpeedPerturbation
from common.dataset import Aud... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/jasper/config.py |
# Copyright (c) 2019, NVIDIA CORPORATION. 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 ... | DeepLearningExamples-master | PyTorch/SpeechRecognition/Jasper/jasper/model.py |
#!/usr/bin/env python
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restricti... | DeepLearningExamples-master | PyTorch/Translation/GNMT/translate.py |
#!/usr/bin/env python
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restricti... | DeepLearningExamples-master | PyTorch/Translation/GNMT/train.py |
import collections
import math
import os
import pathlib
import re
import pynvml
pynvml.nvmlInit()
def systemGetDriverVersion():
return pynvml.nvmlSystemGetDriverVersion()
def deviceGetCount():
return pynvml.nvmlDeviceGetCount()
class device:
# assume nvml returns list of 64 bit ints
_nvml_affini... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/gpu_affinity.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/utils.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/models/decoder.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/models/gnmt.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/models/attention.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/models/encoder.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/models/seq2seq_base.py |
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, co... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/train/lr_scheduler.py |
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, co... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/train/smoothing.py |
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, co... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/train/table.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/train/trainer.py |
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, co... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/train/fp_optimizers.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/inference/beam_search.py |
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, co... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/inference/tables.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/inference/translator.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/data/config.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/data/dataset.py |
# Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/data/tokenizer.py |
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, co... | DeepLearningExamples-master | PyTorch/Translation/GNMT/seq2seq/data/sampler.py |
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, co... | DeepLearningExamples-master | PyTorch/Translation/GNMT/scripts/filter_dataset.py |
#!/usr/bin/env python3
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
import ar... | DeepLearningExamples-master | PyTorch/Translation/Transformer/preprocess.py |
#!/usr/bin/env python3
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#---------... | DeepLearningExamples-master | PyTorch/Translation/Transformer/setup.py |
#!/usr/bin/env python3 -u
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#------... | DeepLearningExamples-master | PyTorch/Translation/Transformer/train.py |
#!/usr/bin/env python3 -u
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#------... | DeepLearningExamples-master | PyTorch/Translation/Transformer/inference.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#--------------------------------... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/options.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import time
import torch
class A... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/meters.py |
import torch.nn.functional as F
from torch.nn.modules.loss import _Loss
class CrossEntropyCriterion(_Loss):
def __init__(self, args):
super().__init__()
self.padding_idx = args.padding_idx
def forward(self, norm_probs, target, reduce=True):
"""Compute the loss for the given sample.
... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/criterions.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from .multiprocessing_pdb import p... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/__init__.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#--------------------------------... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/sequence_generator.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#--------------------------------... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/ddp_trainer.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#--------------------------------... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/tokenizer.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import multiprocessing
import os
i... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/multiprocessing_pdb.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#--------------------------------... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/utils.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#--------------------------------... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/distributed_utils.py |
import os
import atexit
import time
import itertools
from collections import OrderedDict
import dllogger
from dllogger import Backend, JSONStreamBackend
from tensorboardX import SummaryWriter
import torch
class AverageMeter():
def __init__(self):
self.reset()
def reset(self):
self.updated =... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/log_helper.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from torch.optim.optimizer import ... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/optim/nag.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.optim
from . import ... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/optim/sgd.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#--------------------------------... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/optim/fairseq_optimizer.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import importlib
import os
from .... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/optim/__init__.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.optim
from . import ... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/optim/adagrad.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#--------------------------------... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/optim/adam.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from . import FairseqLRScheduler, ... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/optim/lr_scheduler/fixed_schedule.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.optim.lr_scheduler
f... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/optim/lr_scheduler/reduce_lr_on_plateau.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import importlib
import os
from .... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/optim/lr_scheduler/__init__.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from . import FairseqLRScheduler, ... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/optim/lr_scheduler/inverse_square_root_schedule.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from .. import FairseqOptimizer
... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/optim/lr_scheduler/fairseq_lr_scheduler.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import importlib
import os
from .... | DeepLearningExamples-master | PyTorch/Translation/Transformer/fairseq/models/__init__.py |
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