Model-Optimizer/setup.py

# 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.
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#
# 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,
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# 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

# Package configuration ############################################################################
name = "nvidia-modelopt"
# TODO: Set version to static stable release version when creating the release branch
# version = os.environ.get("SETUPTOOLS_SCM_PRETEND_VERSION", "X.Y.Z")
version = get_version(root=".", fallback_version="0.0.0")
packages = setuptools.find_namespace_packages(include=["modelopt*"])
package_dir = {"": "."}
package_data = {"modelopt": ["**/*.h", "**/*.cpp", "**/*.cu"]}
setup_kwargs = {}

# 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",
    "torchprofile>=0.0.4",
    "torchvision",
]

optional_deps = {
    "onnx": [
        "cppimport",
        "cupy-cuda12x; platform_machine != 'aarch64' and platform_system != 'Darwin'",
        "ml_dtypes",  # for bfloat16 conversion
        "onnx-graphsurgeon",
        "onnx>=1.18.0",
        "onnxconverter-common",
        "onnxruntime~=1.22.0 ; platform_machine == 'aarch64' or platform_system == 'Darwin'",
        "onnxruntime-gpu~=1.22.0 ; platform_machine != 'aarch64' and platform_system != 'Darwin' and platform_system != 'Windows'",  # noqa: E501
        "onnxruntime-directml==1.20.0; platform_system == 'Windows'",
        "onnxscript",  # For test_onnx_dynamo_export unit test
        "onnxsim ; python_version < '3.12' and platform_machine != 'aarch64'",
        "polygraphy>=0.49.22",
    ],
    "hf": [
        "accelerate>=1.0.0",
        "datasets>=3.0.0",
        "diffusers>=0.32.2",
        "huggingface_hub>=0.24.0",
        "peft>=0.12.0",
        "transformers>=4.48,<5.0",  # Version match done in modelopt/torch/__init__.py as well
        "deepspeed>=0.9.6 ; platform_system != 'Windows'",
    ],
    # linter tools
    "dev-lint": [
        "bandit[toml]==1.7.9",  # security/compliance checks
        "mypy==1.15.0",
        "pre-commit==4.2.0",
        "ruff==0.11.9",
    ],
    # testing
    "dev-test": [
        "coverage",
        "pytest",
        "pytest-cov",
        "pytest-timeout",
        "timm",
        "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>=67.8.0",
        "setuptools_scm>=7.1.0",
        "twine",
    ],
}

# 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=name,
        version=version,
        description="Nvidia TensorRT Model Optimizer: a unified model optimization and deployment toolkit.",
        long_description="Checkout https://github.com/nvidia/TensorRT-Model-Optimizer for more information.",
        long_description_content_type="text/markdown",
        author="NVIDIA Corporation",
        url="https://github.com/NVIDIA/TensorRT-Model-Optimizer",
        license="Apache 2.0",
        license_files=("LICENSE",),
        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=packages,
        package_dir=package_dir,
        package_data=package_data,
        **setup_kwargs,
    )