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setup.py
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63 lines (60 loc) · 2.12 KB
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from setuptools import setup, find_packages
import os
# Read README for long description
def read_readme():
readme_path = os.path.join(os.path.dirname(__file__), 'README.md')
if os.path.exists(readme_path):
with open(readme_path, 'r', encoding='utf-8') as f:
return f.read()
return ''
# Read requirements
def read_requirements():
req_path = os.path.join(os.path.dirname(__file__), 'requirements.txt')
requirements = []
if os.path.exists(req_path):
with open(req_path, 'r', encoding='utf-8') as f:
for line in f:
line = line.strip()
if line and not line.startswith('#'):
requirements.append(line)
return requirements
setup(
name='ctda-cpa',
version='1.0.0',
author='Tong Yang, Ning Li, Bo Huang, Jianmei Guo',
author_email='tyang2001@163.com',
description='Cross-Thread Dependency-Aware Critical Path Analysis for Large Model Training',
long_description=read_readme(),
long_description_content_type='text/markdown',
url='https://github.com/yourusername/CTDA-CPA',
packages=find_packages(exclude=['tests', 'docs', 'examples', 'optimizations']),
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
],
python_requires='>=3.8',
install_requires=read_requirements(),
extras_require={
'distributed': [
'deepspeed==0.14.4',
'transformers==4.41.1',
'datasets==2.14.6',
'accelerate==0.30.1',
],
},
entry_points={
'console_scripts': [
'ctda-cpa=ctda_cpa.hotspot_analysis:main',
],
},
include_package_data=True,
zip_safe=False,
)