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setup.py
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setup.py
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# -*- coding: utf-8 -*-
# (C) Copyright 2020, 2021, 2022 IBM. All Rights Reserved.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.
"""Setup.py for `aihwkit`."""
import os
from setuptools import find_packages
from skbuild import setup
INSTALL_REQUIRES = [
'torch{}'.format(os.getenv('TORCH_VERSION_SPECIFIER', '>=1.7')),
'torchvision',
'scipy',
'requests>=2.25,<3',
'numpy>=1.19',
'protobuf>=4.21.6',
]
def get_version() -> str:
"""Get the package version."""
version_path = os.path.join(
os.path.dirname(__file__), 'src', 'aihwkit', 'VERSION.txt')
with open(version_path, encoding='utf-8') as version_file:
return version_file.read().strip()
def get_long_description() -> str:
"""Get the package long description."""
readme_path = os.path.join(os.path.dirname(__file__), 'README.md')
with open(readme_path, encoding='utf-8') as readme_file:
return readme_file.read().strip()
setup(
name='aihwkit',
version=get_version(),
description='IBM Analog Hardware Acceleration Kit',
long_description=get_long_description(),
long_description_content_type='text/markdown',
url='https://github.com/IBM/aihwkit',
author='IBM Research',
author_email='[email protected]',
license='Apache 2.0',
classifiers=[
'Development Status :: 4 - Beta',
'Environment :: Console',
'Environment :: GPU :: NVIDIA CUDA',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Operating System :: MacOS',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX :: Linux',
'Programming Language :: Python :: 3 :: Only',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Typing :: Typed',
],
keywords=['ai', 'analog', 'rpu', 'torch'],
package_dir={'': 'src'},
packages=find_packages('src'),
package_data={
'aihwkit': ['VERSION.txt']
},
install_requires=INSTALL_REQUIRES,
python_requires='>=3.7',
zip_safe=False,
extras_require={
'visualization': ['matplotlib>=3.0'],
'fitting': ['lmfit'],
'bert': [
'transformers',
'evaluate',
'datasets',
'wandb',
'tensorboard',
],
}
)