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setup.py
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# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
"""The package setup script for modelopt customizing certain aspects of the installation process."""
import setuptools
from setuptools_scm import get_version
# TODO: Set fallback_version to X.Y.Z release version when creating the release branch
version = get_version(root=".", fallback_version="0.0.0")
# Required and optional dependencies ###############################################################
required_deps = [
# Common
"ninja", # for faster building of C++ / CUDA extensions
"numpy",
"packaging",
"pydantic>=2.0",
"nvidia-ml-py>=12",
"rich",
"scipy",
"tqdm",
# modelopt.torch
"pulp",
"regex",
"safetensors",
"torch>=2.6",
]
optional_deps = {
"onnx": [
"cppimport",
"cupy-cuda12x; platform_machine != 'aarch64' and platform_system != 'Darwin'",
"lief",
"ml_dtypes", # for bfloat16 conversion
"onnx-graphsurgeon",
"onnx~=1.19.0",
"onnxconverter-common~=1.16.0",
"onnxruntime~=1.22.0 ; platform_machine == 'aarch64' or platform_system == 'Darwin'",
"onnxruntime-gpu~=1.22.0 ; platform_machine != 'aarch64' and platform_system != 'Darwin'",
"onnxscript", # For autocast opset conversion and test_onnx_dynamo_export unit test
"onnxslim>=0.1.76",
"polygraphy>=0.49.22",
],
"hf": [
"accelerate>=1.0.0",
"datasets>=3.0.0",
"deepspeed>=0.9.6 ; platform_system != 'Darwin' and platform_system != 'Windows'",
"diffusers>=0.32.2",
"huggingface_hub>=0.24.0",
"peft>=0.17.0",
"transformers>=4.53,<5.0", # Should match modelopt/torch/__init__.py and tox.ini
],
# linter tools
"dev-lint": [
"bandit[toml]==1.7.9", # security/compliance checks
"mypy==1.17.1",
"pre-commit==4.3.0",
"ruff==0.12.11",
],
# testing
"dev-test": [
"coverage",
"pytest",
"pytest-cov",
"pytest-instafail",
"pytest-timeout",
"timm",
"torchprofile>=0.0.4", # For computing flops of CV models
"torchvision",
"torch-geometric",
"tox>4.18",
"tox-current-env>=0.0.12",
],
# docs
"dev-docs": [
"autodoc_pydantic>=2.1.0",
"sphinx~=8.1.0",
"sphinx-argparse>=0.5.2",
"sphinx-autobuild>=2024.10.3",
"sphinx-copybutton>=0.5.2",
"sphinx-inline-tabs>=2023.4.21",
"sphinx-rtd-theme~=3.0.0", # 3.0 does not show version, which we want as Linux & Windows have separate releases
"sphinx-togglebutton>=0.3.2",
],
# build/packaging tools
"dev-build": [
"cython",
"setuptools>=80",
"setuptools-scm>=8",
],
}
# create "compound" optional dependencies
optional_deps["all"] = [
deps for k in optional_deps if not k.startswith("dev") for deps in optional_deps[k]
]
optional_deps["dev"] = [deps for k in optional_deps for deps in optional_deps[k]]
if __name__ == "__main__":
setuptools.setup(
name="nvidia-modelopt",
version=version,
description="Nvidia Model Optimizer: a unified model optimization and deployment toolkit.",
long_description="Checkout https://github.com/nvidia/Model-Optimizer for more information.",
long_description_content_type="text/markdown",
author="NVIDIA Corporation",
url="https://github.com/NVIDIA/Model-Optimizer",
license="Apache 2.0",
license_files=("LICENSE_HEADER",),
classifiers=[
"Programming Language :: Python :: 3",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
python_requires=">=3.10,<3.13",
install_requires=required_deps,
extras_require=optional_deps,
packages=setuptools.find_namespace_packages(include=["modelopt*"]),
package_dir={"": "."},
package_data={"modelopt": ["**/*.h", "**/*.cpp", "**/*.cu"]},
)