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setup.py
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setup.py
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# -*- coding: utf-8 -*-
# (C) Copyright 2020, 2021, 2022, 2023, 2024 IBM. All Rights Reserved.
#
# Licensed under the MIT license. See LICENSE file in the project root for details.
"""Setup.py for `aihwkit`."""
import os
from setuptools import find_packages
from skbuild import setup
INSTALL_REQUIRES = [
"torch{}".format(os.getenv("TORCH_VERSION_SPECIFIER", ">=1.9")),
"torchvision",
"scipy",
"requests>=2.25,<3",
"numpy>=1.22",
"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="aihwkit@us.ibm.com",
license="MIT",
classifiers=[
"Development Status :: 4 - Beta",
"Environment :: Console",
"Environment :: GPU :: NVIDIA CUDA",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT 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",
"memristor",
"pcm",
"reram",
"crossbar",
"in-memory",
"nvm",
"non-von-neumann",
"non-volatile memory",
"phase-change material",
],
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"],
},
)