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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: | |
| 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", | |
| description="object detection in pytorch", | |
| packages=find_packages( | |
| exclude=( | |
| "configs", | |
| "tests", | |
| ) | |
| ), | |
| # install_requires=requirements, | |
| ext_modules=get_extensions(), | |
| cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension.with_options(use_ninja=False)}, | |
| ) | |