将图片存储到GPU分为两步:在GPU上分配内存,将图片从CPU复制到GPU。
- 在GPU上分配内存
cudaMallocPitch( void** devPtr,size_t* pitch,size_t widthInBytes,size_t height )
示例代码:
void CudaImage::Allocate(int w, int h, int p, bool host, float *devmem, float *hostmem)
{
width = w;
height = h;
pitch = p;
d_data = devmem;
h_data = hostmem;
t_data = NULL;
if (devmem==NULL) {
safeCall(cudaMallocPitch((void **)&d_data, (size_t*)&pitch, (size_t)(sizeof(float)*width), (size_t)height));
pitch /= sizeof(float);
if (d_data==NULL)
printf("Failed to allocate device data\n");
d_internalAlloc = true;
}
if (host && hostmem==NULL) {
h_data = (float *)malloc(sizeof(float)*pitch*height);
h_internalAlloc = true;
}
}
2.将图片由CPU复制到GPU
cudaMemcpy2D ( void* dst, size_t dpitch, const void* src, size_t spitch, size_t width, size_t height, cudaMemcpyHostToDevice )
示例代码:
double CudaImage::Download()
{
TimerGPU timer(0);
int p = sizeof(float)*pitch;
if (d_data!=NULL && h_data!=NULL)
safeCall(cudaMemcpy2D(d_data, p, h_data, sizeof(float)*width, sizeof(float)*width, height, cudaMemcpyHostToDevice));
double gpuTime = timer.read();
#ifdef VERBOSE
printf("Download time = %.2f ms\n", gpuTime);
#endif
return gpuTime;
}
来源:CSDN
作者:realjc
链接:https://blog.csdn.net/weixin_38258767/article/details/103741142