# 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 os import platform import setuptools # Package configuration ############################################################################ name = "nvidia-modelopt" version = os.environ.get( "SETUPTOOLS_SCM_PRETEND_VERSION", "0.29.0" if platform.system() == "Linux" else "0.27.0" ) packages = setuptools.find_namespace_packages(include=["modelopt*"]) package_dir = {"": "."} package_data = {"modelopt": ["**/*.h", "**/*.cpp", "**/*.cu"]} setup_kwargs = {} # Required and optional dependencies ############################################################### required_deps = [ f"nvidia-modelopt-core=={version}", "ninja", # for faster building of C++ / CUDA extensions "numpy", "packaging", "pydantic>=2.0", "rich", "scipy", "tqdm", ] optional_deps = { "deploy": [], "onnx": [ "cppimport", "cupy-cuda12x; platform_machine != 'aarch64' and platform_system != 'Darwin'", "onnx", "onnxconverter-common", "onnx-graphsurgeon", # Onnxruntime 1.20+ is not supported on Python 3.9 "onnxruntime~=1.18.1 ; python_version < '3.10'", "onnxruntime~=1.20.1 ; python_version >= '3.10' and (platform_machine == 'aarch64' or platform_system == 'Darwin')", # noqa: E501 "onnxruntime-gpu~=1.20.1 ; python_version >= '3.10' and platform_machine != 'aarch64' and platform_system != 'Darwin' and platform_system != 'Windows'", # noqa: E501 "onnxruntime-directml==1.20.0; python_version >= '3.10' and platform_system == 'Windows'", "onnxsim ; python_version < '3.12' and platform_machine != 'aarch64'", ], "torch": [ "pulp", "pynvml>=11.5.0", "regex", "safetensors", "torch>=2.4", "torchprofile>=0.0.4", "torchvision", ], "hf": [ "accelerate>=1.0.0", "datasets>=3.0.0", "diffusers>=0.32.2", "huggingface_hub>=0.24.0", "peft>=0.12.0", "transformers>=4.48.0,<4.52.0", ], # linter tools "dev-lint": [ "bandit[toml]==1.7.9", # security/compliance checks "mypy==1.15.0", "pre-commit==4.2.0", "ruff==0.11.6", ], # testing "dev-test": [ "coverage", "onnxscript", # For test_onnx_dynamo_export unit test "pytest", "pytest-asyncio", "pytest-cov", "pytest-timeout", "timm", "toml", "tox", "tox-current-env>=0.0.12", # Incompatible with tox==4.18.0 ], # docs "dev-docs": [ "autodoc_pydantic>=2.1.0", "ipython", "ipywidgets", "nbsphinx>=0.9.3", "pypandoc", # Required by nbsphinx "sphinx~=7.2.0", # AttributeError for sphinx~=7.3.0 "snowballstemmer<3", # 3.0 issue with Sphinx "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=">=3.9,<3.13", install_requires=required_deps, extras_require=optional_deps, packages=packages, package_dir=package_dir, package_data=package_data, **setup_kwargs, )