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import os |
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from torch.utils.cpp_extension import load |
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_src_path = os.path.dirname(os.path.abspath(__file__)) |
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nvcc_flags = [ |
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'-O3', '-std=c++14', |
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'-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '-U__CUDA_NO_HALF2_OPERATORS__', |
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'-use_fast_math' |
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] |
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if os.name == "posix": |
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c_flags = ['-O3', '-std=c++14'] |
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elif os.name == "nt": |
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c_flags = ['/O2', '/std:c++17'] |
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def find_cl_path(): |
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import glob |
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for edition in ["Enterprise", "Professional", "BuildTools", "Community"]: |
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paths = sorted(glob.glob(r"C:\\Program Files (x86)\\Microsoft Visual Studio\\*\\%s\\VC\\Tools\\MSVC\\*\\bin\\Hostx64\\x64" % edition), reverse=True) |
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if paths: |
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return paths[0] |
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if os.system("where cl.exe >nul 2>nul") != 0: |
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cl_path = find_cl_path() |
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if cl_path is None: |
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raise RuntimeError("Could not locate a supported Microsoft Visual C++ installation") |
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os.environ["PATH"] += ";" + cl_path |
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_backend = load(name='_freqencoder', |
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extra_cflags=c_flags, |
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extra_cuda_cflags=nvcc_flags, |
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sources=[os.path.join(_src_path, 'src', f) for f in [ |
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'freqencoder.cu', |
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'bindings.cpp', |
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]], |
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) |
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__all__ = ['_backend'] |