mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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39 lines
1.2 KiB
39 lines
1.2 KiB
1 year ago
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from setuptools import find_packages, setup
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def fetch_requirements(path):
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with open(path, "r") as fd:
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return [r.strip() for r in fd.readlines()]
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def fetch_readme():
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with open("README.md", encoding="utf-8") as f:
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return f.read()
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def fetch_version():
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with open("version.txt", "r") as f:
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return f.read().strip()
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print(find_packages(exclude=("tests", "*.egg-info", "data", "examples")))
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setup(
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name="colossalqa",
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version=fetch_version(),
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packages=find_packages(exclude=("tests", "*.egg-info", "data", "examples")),
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description="Colossal-AI powered retrieval QA",
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long_description=fetch_readme(),
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long_description_content_type="text/markdown",
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license="Apache Software License 2.0",
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url="https://github.com/hpcaitech/Coati",
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install_requires=fetch_requirements("requirements.txt"),
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python_requires=">=3.6",
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classifiers=[
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: Apache Software License",
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"Environment :: GPU :: NVIDIA CUDA",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: System :: Distributed Computing",
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],
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)
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