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setup.py
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setup.py
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# SPDX-FileCopyrightText: Copyright (c) 2023 - 2024 NVIDIA CORPORATION & AFFILIATES.
# SPDX-FileCopyrightText: 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.
import glob
from setuptools import setup
import torch
from torch.utils.cpp_extension import CUDAExtension, BuildExtension
def cuda_extension():
cuda_version = float(torch.version.cuda)
nvcc_args = [
"-gencode=arch=compute_70,code=sm_70",
"-gencode=arch=compute_75,code=sm_75",
]
if cuda_version >= 11:
nvcc_args.append("-gencode=arch=compute_80,code=sm_80")
if cuda_version >= 11.1:
nvcc_args.append("-gencode=arch=compute_86,code=sm_86")
if cuda_version >= 12:
nvcc_args.append("-gencode=arch=compute_90,code=sm_90")
nvcc_args.append("-t=0") # Enable multi-threaded builds
# nvcc_args.append("--time=output.txt")
return CUDAExtension(
name="modulus.sym.modulus_ext",
sources=glob.glob("modulus/sym/csrc/*.cu"),
extra_compile_args={"cxx": ["-std=c++14"], "nvcc": nvcc_args},
)
setup(
ext_modules=[cuda_extension()],
cmdclass={"build_ext": BuildExtension.with_options(use_ninja=True)},
)