部署环境:
平台:Windows 10
Python:3.10.13
Torch:1.12.1
Cuda:11.7
通过nvcc编译render_utils_kernel.cu的时候会返回以下错误信息
render_utils_kernel.cu(441): error: calling a __host__ function("std::conditional< ::std::is_same_v|| ::std::is_same_v, long double, ? ?::std::conditional< ::std::is_same_v&& ::std::is_same_v, float, double> ::type> ::type ?::pow<double, float, (int)0> (T1, T2)") from a __global__ function("raw2alpha_cuda_kernel<double> ") is not allowed
render_utils_kernel.cu(441): error: identifier "pow<double, float, (int)0> " is undefined in device code
render_utils_kernel.cu(515): error: calling a __host__ function("std::conditional< ::std::is_same_v|| ::std::is_same_v, long double, ? ?::std::conditional< ::std::is_same_v&& ::std::is_same_v, float, double> ::type> ::type ?::pow<double, float, (int)0> (T1, T2)") from a __global__ function("raw2alpha_backward_cuda_kernel<double> ") is not allowed
render_utils_kernel.cu(515): error: identifier "pow<double, float, (int)0> " is undefined in device code
4 errors detected in the compilation of "render_utils_kernel.cu".
?根据错误提示,修改render_utils_kernel.cu的441行和515行
# 原始代码
alpha[i_pt] = 1 - pow((1 + e), (-interval));
# 修改为
alpha[i_pt] = 1 - pow((double)(1 + e), (double)(-interval));
?
# 原始代码
grad[i_pt] = min(exp_d[i_pt], 1e10) * pow((1+exp_d[i_pt]), (-interval-1)) * interval * grad_back[i_pt];
# 修改为
grad[i_pt] = min(exp_d[i_pt], 1e10) * pow((double)(1+exp_d[i_pt]), (double)(-interval-1)) * interval * grad_back[i_pt];
修改完这两行代码后,编译就可以顺利通过了