Reputation: 43
After the execution of a kernel (i.e., reorder_raw
) that outputs an updated device memory (i.e., d_ordered
in the code below), I want to do some layered interpolation in another kernel. I understand that I must create a 3D array for such purposes, and then transfer my device memory to my array memory d_ordered_array
. However, when I use the function cudaMemcpy2DToArray
I get the error invalid memory in my mexPrintf(cudaGetErrorString(cudaGetLastError()));
function at the end of the code
Otherwise, if I comment the cudaMemcpy2DToArray
I get no errors.
void delay_US_linear(
short *h_raw, short *d_ordered, float *d_delay,
int samples, int channels, int scanlines, int elements,
float pitch, float speed_sound, float sample_freq, float delay_offset,
size_t in_pitch, size_t out_pitch
){
// Allocate the GPU raw data and ordered data buffer
short *d_raw;
cudaMalloc((void**)& d_raw, sizeof(short)*samples*channels*scanlines);
cudaMemcpy(d_raw, h_raw, sizeof(short)*samples*channels*scanlines, cudaMemcpyHostToDevice);
// Allocate block and grid dimensions
int griddim_x = (samples + order_X - 1) / order_X;
int griddim_y = (scanlines);
int griddim_z = 1;
dim3 dimGrid(griddim_x, griddim_y, griddim_z);
dim3 dimBlock(order_X, order_Y, order_Z);
// Use all threads in block for shared memory
int shared_size = order_X * order_Y * order_Z * sizeof(short);
// Only need to change the channel order, independency in axial and scanline dimension
reorder_raw << <dimGrid, dimBlock, shared_size >> > (
d_raw, d_ordered, samples, channels, scanlines, elements, in_pitch/sizeof(short));
cudaDeviceSynchronize();
// Create a 3D array
cudaArray *d_ordered_array;
cudaChannelFormatDesc desc = cudaCreateChannelDesc(16, 0, 0, 0, cudaChannelFormatKindSigned);
cudaMalloc3DArray(&d_ordered_array, &desc, make_cudaExtent(samples, channels, scanlines),
cudaArrayLayered);
// Copy device memory to the 3D array
cudaMemcpy2DToArray(d_ordered_array, 0, 0, d_ordered, in_pitch, sizeof(short)*samples,
channels*scanlines,cudaMemcpyDeviceToDevice);
cudaFreeArray(d_ordered_array);
cudaFree(d_raw);
mexPrintf(cudaGetErrorString(cudaGetLastError()));
}
For reference, the d_ordered device pointer is a 2D pitched memory that has been previously allocated as
size_t in_pitch;
cudaMallocPitch((void**)& d_ordered,&in_pitch,sizeof(short)*samples,channels*scanlines);
Upvotes: 0
Views: 264
Reputation: 152164
Use cudaMalloc3D
instead of cudaMallocPitch
for your allocation of d_ordered
, and use a cudaMemcpy3D
operation instead of cudaMemcpy2DToArray
, you will be able to get this to work. These are what match your 3D cudaArray
. Here is an example:
$ cat t1733.cu
#include <iostream>
void delay_US_linear(
short *h_raw, cudaPitchedPtr d_ordered, float *d_delay,
int samples, int channels, int scanlines, int elements,
float pitch, float speed_sound, float sample_freq, float delay_offset,
size_t in_pitch, size_t out_pitch
){
// Create a 3D array
cudaArray *d_ordered_array;
cudaChannelFormatDesc desc = cudaCreateChannelDesc<short>();
cudaExtent my_ext = make_cudaExtent(samples, channels, scanlines);
cudaMalloc3DArray(&d_ordered_array, &desc, my_ext, cudaArrayLayered);
// Copy device memory to the 3D array
cudaMemcpy3DParms p = {0};
p.srcPtr = d_ordered;
p.dstArray = d_ordered_array;
p.extent = my_ext;
p.kind = cudaMemcpyDeviceToDevice;
cudaMemcpy3D(&p);
cudaFreeArray(d_ordered_array);
std::cout << cudaGetErrorString(cudaGetLastError()) << std::endl;
}
int main(){
const int samples = 4864; // 4864
const int channels = 64; //64
const int scanlines = 128;// 128
cudaPitchedPtr d_ordered;
size_t in_pitch=0, out_pitch = 0;
short *h_raw = NULL;
float *d_delay = NULL;
const int elements = 0;
float pitch = 0;
float speed_sound = 0;
float sample_freq = 0;
float delay_offset = 0;
cudaExtent my_ext = make_cudaExtent(samples*sizeof(short), channels, scanlines);
cudaMalloc3D(&d_ordered, my_ext);
// cudaMallocPitch((void**) &d_ordered,&in_pitch,sizeof(short)*samples,channels*scanlines);
delay_US_linear(h_raw, d_ordered, d_delay, samples, channels, scanlines, elements,
pitch, speed_sound, sample_freq, delay_offset, in_pitch, out_pitch);
}
$ nvcc -o t1733 t1733.cu
$ cuda-memcheck ./t1733
========= CUDA-MEMCHECK
no error
========= ERROR SUMMARY: 0 errors
$
Upvotes: 2