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# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. | |
#!/usr/bin/env python | |
import glob | |
import os | |
import torch | |
from setuptools import find_packages | |
from setuptools import setup | |
from torch.utils.cpp_extension import CUDA_HOME | |
from torch.utils.cpp_extension import CppExtension | |
from torch.utils.cpp_extension import CUDAExtension | |
requirements = ["torch", "torchvision"] | |
def get_extensions(): | |
this_dir = os.path.dirname(os.path.abspath(__file__)) | |
extensions_dir = os.path.join(this_dir, "maskrcnn_benchmark", "csrc") | |
main_file = glob.glob(os.path.join(extensions_dir, "*.cpp")) | |
source_cpu = glob.glob(os.path.join(extensions_dir, "cpu", "*.cpp")) | |
source_cuda = glob.glob(os.path.join(extensions_dir, "cuda", "*.cu")) | |
sources = main_file + source_cpu | |
extension = CppExtension | |
extra_compile_args = {"cxx": []} | |
define_macros = [] | |
if torch.cuda.is_available() and CUDA_HOME is not None: | |
# if True: | |
extension = CUDAExtension | |
sources += source_cuda | |
define_macros += [("WITH_CUDA", None)] | |
extra_compile_args["nvcc"] = [ | |
"-DCUDA_HAS_FP16=1", | |
"-D__CUDA_NO_HALF_OPERATORS__", | |
"-D__CUDA_NO_HALF_CONVERSIONS__", | |
"-D__CUDA_NO_HALF2_OPERATORS__", | |
] | |
sources = [os.path.join(extensions_dir, s) for s in sources] | |
include_dirs = [extensions_dir] | |
ext_modules = [ | |
extension( | |
"maskrcnn_benchmark._C", | |
sources, | |
include_dirs=include_dirs, | |
define_macros=define_macros, | |
extra_compile_args=extra_compile_args, | |
) | |
] | |
return ext_modules | |
setup( | |
name="maskrcnn_benchmark", | |
version="0.1", | |
author="fmassa", | |
url="https://github.com/facebookresearch/maskrnn-benchmark", | |
description="object detection in pytorch", | |
packages=find_packages(exclude=("configs", "examples", "test",)), | |
# install_requires=requirements, | |
ext_modules=get_extensions(), | |
cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension}, | |
) | |