import os from setuptools import setup from torch.utils.cpp_extension import BuildExtension, CUDAExtension _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 setup( name='gridencoder', # package name, import this to use python API ext_modules=[ CUDAExtension( name='_gridencoder', # extension name, import this to use CUDA API sources=[os.path.join(_src_path, 'src', f) for f in [ 'gridencoder.cu', 'bindings.cpp', ]], extra_compile_args={ 'cxx': c_flags, 'nvcc': nvcc_flags, } ), ], cmdclass={ 'build_ext': BuildExtension, } )