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setup.py
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setup.py
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# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re
from setuptools import find_namespace_packages, setup
# Ensure we match the version set in optimum/habana/version.py
try:
filepath = "optimum/habana/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)
INSTALL_REQUIRES = [
"transformers >= 4.40.0, < 4.41.0",
"optimum",
"torch",
"accelerate < 0.28.0",
"diffusers >= 0.26.0, < 0.27.0",
"huggingface_hub < 0.23.0",
"datasets < 2.20.0",
"pytest < 8.0.0",
]
TESTS_REQUIRE = [
"psutil",
"parameterized",
"GitPython",
"optuna",
"sentencepiece",
"datasets",
"safetensors",
"pytest < 8.0.0",
]
QUALITY_REQUIRES = [
"ruff",
"hf_doc_builder",
]
EXTRAS_REQUIRE = {
"tests": TESTS_REQUIRE,
"quality": QUALITY_REQUIRES,
}
setup(
name="optimum-habana",
version=__version__,
description=(
"Optimum Habana is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's"
" Gaudi processor (HPU). It provides a set of tools enabling easy model loading, training and inference on"
" single- and multi-HPU settings for different downstream tasks."
),
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",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
keywords="transformers, diffusers, mixed-precision training, fine-tuning, gaudi, hpu",
url="https://huggingface.co/hardware/habana",
author="HuggingFace Inc. Special Ops Team",
author_email="hardware@huggingface.co",
license="Apache",
packages=find_namespace_packages(include=["optimum*"]),
install_requires=INSTALL_REQUIRES,
extras_require=EXTRAS_REQUIRE,
include_package_data=True,
zip_safe=False,
)