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, )