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a22c748 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 | #!/usr/bin/env python3
"""ESPnet setup script."""
import os
from distutils.version import LooseVersion
from setuptools import find_packages
from setuptools import setup
requirements = {
"install": [
"setuptools>=38.5.1",
"configargparse>=1.2.1",
"typeguard>=2.7.0",
"humanfriendly",
"scipy>=1.4.1",
"matplotlib==3.1.0",
"pillow>=6.1.0",
"editdistance==0.5.2",
"ctc-segmentation<1.8,>=1.6.6",
"wandb",
"filelock",
# DNN related packages are installed by Makefile
# 'torch==1.0.1'
# "chainer==6.0.0",
# 'cupy==6.0.0',
"tensorboard>=1.14", # For pytorch>=1.1.0
"tensorboardX>=1.8", # For pytorch<1.1.0
# Signal processing related
"librosa>=0.8.0",
# Natural language processing related
"sentencepiece",
"nltk>=3.4.5",
# File IO related
"PyYAML>=5.1.2",
"soundfile>=0.10.2",
"h5py>=2.10.0",
"kaldiio>=2.17.0",
# TTS related
"pyworld>=0.2.10",
"espnet_tts_frontend",
# ASR frontend related
"nara_wpe>=0.0.5",
"torch_complex",
"pytorch_wpe",
"ci_sdr",
# NLU postencoder related
"transformers>=4.9.1",
],
"recipe": [
"espnet_model_zoo",
"gdown",
"resampy",
"pysptk>=0.1.17",
"morfessor", # for zeroth-korean
"youtube_dl", # for laborotv
"nnmnkwii",
"museval>=0.2.1",
"pystoi>=0.2.2",
"mir-eval>=0.6",
"fastdtw",
],
"setup": ["numpy", "pytest-runner"],
"test": [
"pytest>=3.3.0",
"pytest-timeouts>=1.2.1",
"pytest-pythonpath>=0.7.3",
"pytest-cov>=2.7.1",
"hacking>=2.0.0",
"mock>=2.0.0",
"pycodestyle",
"jsondiff>=1.2.0",
"flake8>=3.7.8",
"flake8-docstrings>=1.3.1",
"black",
],
"doc": [
"Sphinx==2.1.2",
"sphinx-rtd-theme>=0.2.4",
"sphinx-argparse>=0.2.5",
"commonmark==0.8.1",
"recommonmark>=0.4.0",
"nbsphinx>=0.4.2",
"sphinx-markdown-tables>=0.0.12",
],
}
try:
# NOTE(kamo): These packages are not listed if installing from the PyPI server
import torch
if LooseVersion(torch.__version__) >= LooseVersion("1.1.0"):
requirements["install"].append("torch_optimizer")
if LooseVersion(torch.__version__) >= LooseVersion("1.5.1"):
requirements["install"].append("fairscale")
if LooseVersion(torch.__version__) >= LooseVersion("1.9.1"):
pass # modern torch — torchaudio version is managed separately
elif LooseVersion(torch.__version__) >= LooseVersion("1.9.0"):
requirements["install"].append("torchaudio==0.9.0")
elif LooseVersion(torch.__version__) >= LooseVersion("1.8.1"):
requirements["install"].append("torchaudio==0.8.1")
elif LooseVersion(torch.__version__) >= LooseVersion("1.8.0"):
requirements["install"].append("torchaudio==0.8.0")
elif LooseVersion(torch.__version__) >= LooseVersion("1.7.1"):
requirements["install"].append("torchaudio==0.7.2")
elif LooseVersion(torch.__version__) >= LooseVersion("1.7.0"):
requirements["install"].append("torchaudio==0.7.0")
elif LooseVersion(torch.__version__) >= LooseVersion("1.6.0"):
# Due to https://github.com/pytorch/pytorch/issues/42213,
# use torchaudio.functional.istft instead of torch.functional.istft
requirements["install"].append("torchaudio==0.6.0")
elif LooseVersion(torch.__version__) >= LooseVersion("1.5.1"):
requirements["install"].append("torchaudio==0.5.1")
elif LooseVersion(torch.__version__) >= LooseVersion("1.5.0"):
requirements["install"].append("torchaudio==0.5.0")
elif LooseVersion(torch.__version__) >= LooseVersion("1.4.0"):
requirements["install"].append("torchaudio==0.4.0")
elif LooseVersion(torch.__version__) >= LooseVersion("1.3.1"):
requirements["install"].append("torchaudio==0.3.2")
elif LooseVersion(torch.__version__) >= LooseVersion("1.3.0"):
requirements["install"].append("torchaudio==0.3.1")
elif LooseVersion(torch.__version__) >= LooseVersion("1.2.0"):
requirements["install"].append("torchaudio==0.3.0")
del torch
except ImportError:
pass
install_requires = requirements["install"]
setup_requires = requirements["setup"]
tests_require = requirements["test"]
extras_require = {
k: v for k, v in requirements.items() if k not in ["install", "setup"]
}
dirname = os.path.dirname(__file__)
version_file = os.path.join(dirname, "espnet", "version.txt")
with open(version_file, "r") as f:
version = f.read().strip()
setup(
name="espnet",
version=version,
url="http://github.com/espnet/espnet",
author="Shinji Watanabe",
author_email="shinjiw@ieee.org",
description="ESPnet: end-to-end speech processing toolkit",
long_description=open(os.path.join(dirname, "README.md"), encoding="utf-8").read(),
long_description_content_type="text/markdown",
license="Apache Software License",
packages=find_packages(include=["espnet*"]),
package_data={"espnet": ["version.txt"]},
# #448: "scripts" is inconvenient for developping because they are copied
# scripts=get_all_scripts('espnet/bin'),
install_requires=install_requires,
setup_requires=setup_requires,
tests_require=tests_require,
extras_require=extras_require,
python_requires=">=3.7.0",
classifiers=[
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"Operating System :: POSIX :: Linux",
"License :: OSI Approved :: Apache Software License",
"Topic :: Software Development :: Libraries :: Python Modules",
],
)
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