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import glob |
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import os |
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from setuptools import find_packages, setup |
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import torch |
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from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension |
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def get_extensions(): |
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this_dir = os.path.dirname(os.path.abspath(__file__)) |
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extensions_dir = os.path.join(this_dir, "tensormask", "layers", "csrc") |
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main_source = os.path.join(extensions_dir, "vision.cpp") |
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sources = glob.glob(os.path.join(extensions_dir, "**", "*.cpp")) |
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source_cuda = glob.glob(os.path.join(extensions_dir, "**", "*.cu")) + glob.glob( |
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os.path.join(extensions_dir, "*.cu") |
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) |
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sources = [main_source] + sources |
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extension = CppExtension |
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extra_compile_args = {"cxx": []} |
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define_macros = [] |
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if (torch.cuda.is_available() and CUDA_HOME is not None) or os.getenv("FORCE_CUDA", "0") == "1": |
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extension = CUDAExtension |
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sources += source_cuda |
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define_macros += [("WITH_CUDA", None)] |
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extra_compile_args["nvcc"] = [ |
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"-DCUDA_HAS_FP16=1", |
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"-D__CUDA_NO_HALF_OPERATORS__", |
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"-D__CUDA_NO_HALF_CONVERSIONS__", |
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"-D__CUDA_NO_HALF2_OPERATORS__", |
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] |
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CC = os.environ.get("CC", None) |
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if CC is not None: |
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extra_compile_args["nvcc"].append("-ccbin={}".format(CC)) |
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sources = [os.path.join(extensions_dir, s) for s in sources] |
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include_dirs = [extensions_dir] |
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ext_modules = [ |
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extension( |
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"tensormask._C", |
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sources, |
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include_dirs=include_dirs, |
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define_macros=define_macros, |
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extra_compile_args=extra_compile_args, |
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) |
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] |
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return ext_modules |
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setup( |
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name="tensormask", |
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version="0.1", |
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author="FAIR", |
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packages=find_packages(exclude=("configs", "tests")), |
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python_requires=">=3.6", |
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ext_modules=get_extensions(), |
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cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension}, |
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) |
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