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