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from io import open
from setuptools import find_packages, setup
setup(
name="pytorch_quantization_tool",
version="0.1",
author="Liangang, Zhang",
author_email="liangang.zhang@intel.com",
description="Repository of pytorch imperatie quantization tool",
long_description=open("README.md", "r", encoding='utf-8').read(),
long_description_content_type="text/markdown",
keywords='quantization post-training fallback auto-tuning',
license='',
url="https://github.com/liangan1/pytorch_imperative_quantization_tool",
packages = find_packages('src'),
package_dir = {'':'src'},
install_requires=['torch>=1.3.0',
'numpy',
'tqdm',
'regex'],
entry_points={
'console_scripts': [""]
},
# python_requires='>=3.5.0',
classifiers=[
'Intended Audience :: Science/Research',
'Programming Language :: Python :: 3',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
)