我试图弄清楚如何在设备上分配一个 3d 数组,填充它,然后将它返回给主机代码。
我尝试使用“Cuda C Programming guide”第 3.2.2 pg、21 和 22 节中的代码。当我尝试编译此代码时,出现此错误:
错误:“void *”类型的值不能用于初始化“char *”类型的实体
/* host code */
#include <stdio.h>
#include <math.h>
#include "mex.h"
/* Kernel function */
#include "simulate3DArrays.cpp"
/* Define some constants. */
#define width 5
#define height 9
#define depth 5
void mexFunction(int nlhs,
mxArray *plhs[],
int nrhs,
mxArray *prhs[])
{
double *output;
mwSize ndim3 = 3;
mwSize dims3[] = {height, width, depth};
plhs[0] = mxCreateNumericArray(ndim3, dims3, mxDOUBLE_CLASS, mxREAL);
output = mxGetPr(plhs[0]);
cudaExtent extent = make_cudaExtent(width * sizeof(double), height, depth);
cudaPitchedPtr devicePointer;
cudaMalloc3D(&devicePointer, extent);
cudaMemcpy3DParms deviceOuput = { 0 };
deviceOuput.srcPtr.ptr = devicePointer.ptr;
deviceOuput.srcPtr.pitch = devicePointer.pitch;
deviceOuput.srcPtr.xsize = width;
deviceOuput.srcPtr.ysize = height;
deviceOuput.dstPtr.ptr = output;
deviceOuput.dstPtr.pitch = devicePointer.pitch;
deviceOuput.dstPtr.xsize = width;
deviceOuput.dstPtr.ysize = height;
deviceOuput.kind = cudaMemcpyDeviceToHost;
simulate3DArrays<<<1,depth>>>(devicePointer, width, height, depth);
/* copy 3d array back to 'ouput' */
cudaMemcpy3D(&deviceOuput);
return;
} /* End Mexfunction */
/* device code from pg 22. */
__global__ void simulate3DArrays(cudaPitchedPtr devPitchedPtr,
int width,
int height,
int depth)
{
char* devPtr = devPitchedPtr.ptr; /* << error occurs here */
size_t pitch = devPitchedPtr.pitch;
size_t slicePitch = pitch * height;
for (int z = 0; z < depth; ++z)
{
char* slice = devPtr + z * slicePitch;
for (int y = 0; y < height; ++y)
{
float* row = (float*)(slice + y * pitch);
for (int x = 0; x < width; ++x)
{
float element = row[x];
}
}
}
}
不确定它是否真的与这个问题相关,但我的环境是:
- 视窗 7 x64
- MATLAB 2012a
- 库达 SDK 4.2
- 特斯拉 C2050 GPU