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setup.py
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setup.py
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from io import open
from setuptools import find_packages, setup
import os
import re
import sys
cwd = os.path.dirname(os.path.abspath(__file__))
try:
filepath = './neural_compressor/version.py'
with open( filepath ) as version_file:
__version__ ,= re.findall( '__version__ = "(.*)"', version_file.read() )
except Exception as error:
assert False, "Error: Could not open '%s' due %s\n" % (filepath, error)
full_installation = False
if "--full" in sys.argv:
full_installation = True
sys.argv.remove("--full")
# define package data
package_data = {'': ['*.py', '*.yaml']}
ux_package_data = {
'neural_compressor.ux': [
"web/static/*.*",
"web/static/assets/*.*",
"web/static/assets/dark/*.*",
"web/static/assets/fonts/*.*",
"components/db_manager/alembic.ini",
"components/db_manager/alembic/*",
"components/db_manager/alembic/versions/*.py",
"utils/configs/*.json",
"utils/configs/predefined_configs/**/*.yaml",
"utils/templates/*.txt"]
}
# define install requirements
install_requires_list = [
'numpy', 'pyyaml', 'scikit-learn', 'schema', 'py-cpuinfo', 'hyperopt', 'pandas', 'pycocotools',
'opencv-python', 'requests', 'psutil', 'Pillow', 'sigopt', 'prettytable', 'cryptography', 'Cython']
ux_install_requires_list = [
'Flask-Cors', 'Flask-SocketIO', 'Flask', 'gevent-websocket', 'gevent','sqlalchemy==1.4.27', 'alembic==1.7.7']
# define scripts
scripts_list = []
ux_scripts_list = ['neural_compressor/ux/bin/inc_bench']
if full_installation:
project_name = "neural_compressor_full"
packages_exclude = find_packages(exclude=["test.*", "test"])
package_data.update(ux_package_data)
install_requires_list.extend(ux_install_requires_list)
scripts_list.extend(ux_scripts_list)
else:
project_name = "neural_compressor"
packages_exclude = find_packages(exclude=["test.*", "test", "neural_compressor.ux", "neural_compressor.ux.*"])
if __name__ == '__main__':
setup(
name=project_name,
version=__version__,
author="Intel AIA Team",
description="Repository of Intel® Neural Compressor",
long_description=open("README.md", "r", encoding='utf-8').read(),
long_description_content_type="text/markdown",
keywords='quantization, auto-tuning, post-training static quantization, post-training dynamic quantization, quantization-aware training, tuning strategy',
license='Apache 2.0',
url="https://github.com/intel/neural-compressor",
packages = packages_exclude,
include_package_data = True,
package_data=package_data,
install_requires=install_requires_list,
scripts=scripts_list,
python_requires='>=3.6.0',
classifiers=[
'Intended Audience :: Science/Research',
'Programming Language :: Python :: 3',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'License :: OSI Approved :: Apache Software License',
],
)