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setup.py
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setup.py
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#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import os
import re
import sys
from setuptools import find_packages, setup
def get_version():
# get version string from version.py
# TODO: ideally the version.py should be generated when setup is run
version_file = os.path.join(os.path.dirname(__file__), "torchelastic/version.py")
version_regex = r"__version__ = ['\"]([^'\"]*)['\"]"
with open(version_file, "r") as f:
version = re.search(version_regex, f.read(), re.M).group(1)
return version
if __name__ == "__main__":
if sys.version_info < (3, 6):
sys.exit("python >= 3.6 required for torchelastic")
with open("README.md", encoding="utf8") as f:
readme = f.read()
with open("requirements.txt") as f:
reqs = f.read()
version = get_version()
print("-- Building version: " + version)
setup(
# Metadata
name="torchelastic",
version=version,
author="PyTorch Elastic Devs",
author_email="[email protected]",
description="PyTorch Elastic Training",
long_description=readme,
long_description_content_type="text/markdown",
url="https://github.com/pytorch/elastic",
license="BSD-3",
keywords=["pytorch", "machine learning", "elastic", "distributed"],
python_requires=">=3.6",
install_requires=reqs.strip().split("\n"),
include_package_data=True,
packages=find_packages(exclude=("test", "test.*")),
test_suite="test.suites.unittests",
# PyPI package information.
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: BSD License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Topic :: System :: Distributed Computing",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)