Making large AI models cheaper, faster and more accessible
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from setuptools import find_packages, setup
def fetch_requirements(path):
with open(path, 'r') as fd:
return [r.strip() for r in fd.readlines()]
def fetch_readme():
with open('README.md', encoding='utf-8') as f:
return f.read()
def fetch_version():
with open('version.txt', 'r') as f:
return f.read().strip()
setup(
name='coati',
version=fetch_version(),
packages=find_packages(exclude=(
'tests',
'benchmarks',
'*.egg-info',
)),
description='Colossal-AI Talking Intelligence',
long_description=fetch_readme(),
long_description_content_type='text/markdown',
license='Apache Software License 2.0',
url='https://github.com/hpcaitech/Coati',
install_requires=fetch_requirements('requirements.txt'),
python_requires='>=3.6',
classifiers=[
'Programming Language :: Python :: 3',
'License :: OSI Approved :: Apache Software License',
'Environment :: GPU :: NVIDIA CUDA',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: System :: Distributed Computing',
],
)