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setup.py
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# Copyright 2023 The HuggingFace Team. All rights reserved.
# Licensed under the MIT License.
import re
from setuptools import find_namespace_packages, setup
# Ensure we match the version set in optimum/intel/version.py
try:
filepath = "optimum/amd/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)
# ORT 1.16 is not compatible: https://github.com/Xilinx/Vitis-AI/issues/1343
INSTALL_REQUIRE = ["optimum", "transformers>=4.38", "onnx", "onnxruntime-extensions"]
# TODO: unpin pytest once https://github.com/huggingface/transformers/pull/29154 is merged & released
TESTS_REQUIRE = [
"pytest<=7.4.4",
"parameterized",
"evaluate",
"timm",
"scikit-learn",
"onnxruntime",
"torch==2.2.1",
"torchvision==0.17.1",
"opencv-python",
]
QUALITY_REQUIRE = ["black~=23.1", "ruff>=0.0.241,<=0.0.259"]
EXTRAS_REQUIRE = {
"quality": QUALITY_REQUIRE,
"tests": TESTS_REQUIRE,
"brevitas": ["brevitas", "torch>=2.2", "datasets>=2.17", "onnx", "onnxruntime", "accelerate"],
}
setup(
name="optimum-amd",
version=__version__,
description="Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to "
"integrate third-party libraries from Hardware Partners and interface with their specific "
"functionality.",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
classifiers=[
"Development Status :: 5 - Production/Stable",
"License :: OSI Approved :: Apache Software License",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
keywords="transformers, amd, ryzen, ipu, quantization, on-device, instinct",
url="https://github.com/huggingface/optimum-amd",
author="HuggingFace Inc. Special Ops Team",
author_email="hardware@huggingface.co",
license="MIT",
packages=find_namespace_packages(include=["optimum*"]),
entry_points={"console_scripts": ["amdrun=optimum.amd.cli:amdrun"]},
install_requires=INSTALL_REQUIRE,
extras_require=EXTRAS_REQUIRE,
include_package_data=True,
zip_safe=False,
)