setup.py (80 lines of code) (raw):
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. 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 distutils.core import setup
from platform import system, machine, python_version
from setuptools import find_namespace_packages
from sys import version_info as pyversion
# Ensure we match the version set in optimum/nvidia/version.py
filepath = "src/optimum/nvidia/version.py"
try:
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 = [
"accelerate >= 0.26",
"datasets >= 2.14",
"huggingface-hub >= 0.24",
"hf-transfer==0.1.6",
"mpmath == 1.3.0",
"numpy >= 1.26.0",
"onnx >= 1.17.0",
"optimum >= 1.21.0",
"setuptools",
"tensorrt-llm == 0.16.0",
"torch>=2.3.0a,<=2.6.0a",
"transformers >= 4.45.1",
"pynvml"
]
TESTS_REQUIRES = [
"mock",
"pytest",
"pytest-console-scripts",
"pytest-xdist",
"psutil",
"parameterized",
"datasets",
"safetensors",
"soundfile",
"librosa",
]
QUALITY_REQUIRES = [
"black",
"ruff",
"isort",
"hf_doc_builder @ git+https://github.com/huggingface/doc-builder.git",
]
EXTRAS_REQUIRE = {
"tests": TESTS_REQUIRES,
# "quality": QUALITY_REQUIRES,
}
setup(
name="optimum-nvidia",
version=__version__,
description=(
"Optimum Nvidia is the interface between the Hugging Face Transformers and NVIDIA GPUs. "
"It provides a set of tools enabling easy model loading, training and "
"inference on single and multiple GPU cards for different downstream tasks."
),
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
classifiers=[
"Development Status :: 2 - Pre-Alpha",
"License :: OSI Approved :: Apache Software License",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
keywords="transformers, neural-network, fine-tuning, inference, nvidia, tensorrt, ampere, hopper",
url="https://huggingface.co/hardware/nvidia",
author="HuggingFace Inc. Machine Learning Optimization Team",
author_email="hardware@huggingface.co",
license="Apache 2.0",
packages=find_namespace_packages(include=["optimum*"]),
install_requires=INSTALL_REQUIRES,
extras_require=EXTRAS_REQUIRE,
dependency_links=["https://pypi.nvidia.com"],
include_package_data=True,
zip_safe=False,
)