mirror of
https://github.com/hpcaitech/Open-Sora.git
synced 2026-04-12 05:46:22 +02:00
83 lines
2.1 KiB
Python
83 lines
2.1 KiB
Python
import os
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from typing import List
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from setuptools import find_packages, setup
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def fetch_requirements(path) -> List[str]:
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"""
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This function reads the requirements file.
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Args:
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path (str): the path to the requirements file.
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Returns:
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The lines in the requirements file.
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"""
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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() -> str:
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"""
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This function reads the README.md file in the current directory.
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Returns:
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The lines in the README file.
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"""
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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 get_version() -> str:
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"""
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This function reads the version.txt and generates the colossalai/version.py file.
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Returns:
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The library version stored in version.txt.
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"""
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setup_file_path = os.path.abspath(__file__)
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project_path = os.path.dirname(setup_file_path)
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version_txt_path = os.path.join(project_path, "version.txt")
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with open(version_txt_path) as f:
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version = f.read().strip()
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return version
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setup(
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name="open-sora",
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version=get_version(),
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packages=find_packages(
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exclude=(
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"docker",
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"tests",
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"docs",
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"examples",
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"tests",
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"scripts",
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"requirements",
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"extensions",
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"*.egg-info",
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),
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),
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description="Unofficial implementation of OpenAI's Sora by the Colossal-AI Team",
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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://www.colossalai.org",
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project_urls={
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"Github": "https://github.com/hpcaitech/Open-Sora",
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},
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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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