# # Copyright (c) 2021, NVIDIA CORPORATION. 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. # try: from setuptools import setup, find_packages except ImportError: from distutils.core import setup, find_packages import os def is_standalone(): return os.environ.get("STANDALONE") == "1" def is_dla(): return os.environ.get("ENABLE_DLA") == "1" def get_requirements(): def get_version_range(): def get_vers(var): vers = os.environ.get(var).replace("cuda-", "") major, minor = map(int, vers.split(".")) return major, minor cuda_major, _ = get_vers("CUDA") return "-cu{cuda_major}".format(cuda_major=cuda_major) if is_standalone(): return [ "nvidia-cuda-runtime" + get_version_range(), "nvidia-cudnn" + get_version_range(), "nvidia-cublas" + get_version_range(), ] return [] name = "tensorrt" if is_standalone(): name = "nvidia-{:}".format(name) # Only standalone wheels need to be disambiguated. Otherwise, the entire tar/deb/rpm is DLA/non-DLA. if is_dla(): name += "-dla" setup( name=name, version="##TENSORRT_VERSION##", description="A high performance deep learning inference library", long_description="A high performance deep learning inference library", author="NVIDIA", license="Proprietary", classifiers=[ "License :: Other/Proprietary License", "Intended Audience :: Developers", "Programming Language :: Python :: 3", ], packages=find_packages(), install_requires=get_requirements(), extras_require={"numpy": "numpy"}, package_data={"tensorrt": ["*.so*", "*.pyd", "*.pdb"]}, include_package_data=True, zip_safe=True, )