我正在编写一些openCL代码的问题。
我编写了一组实用程序函数来从我正在使用它的地方删除一些样板代码。测试方法在开始时运行并且工作正常，代码如下：
void openCLtest(char *arg_program, char *arg_device)
{
cl_int ret;
cl_device_id device_id = getDeviceId(atoi(arg_program), atoi(arg_device));
cl_context context = get_cl_context(&device_id);
cl_command_queue queue = get_cl_command_queue(&context, &device_id);
cl_kernel kernel = compileCLkernel(&context, &device_id, "src/hello.cl", "hello");
cl_mem memobj = clCreateBuffer(context, CL_MEM_READ_WRITE, MEM_SIZE * sizeof(char), NULL, &ret);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to Allocate Buffer\n");
exit(1);
}
ret = clSetKernelArg(kernel, 0, sizeof(cl_mem), (void *)&memobj);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to set kernel Arg\n");
exit(1);
}
ret = clEnqueueTask(queue, kernel, 0, NULL, NULL);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to Enqueue Task\n");
exit(1);
}
ret = clFinish(queue);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to wait for finish\n");
exit(1);
}
char string[MEM_SIZE];
ret = clEnqueueReadBuffer(queue, memobj, CL_TRUE, 0, MEM_SIZE * sizeof(char), string, 0, NULL, NULL);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to read buffer\n");
exit(1);
}
printf("CL Produced: %s\n", string);
ret = clFlush(queue);
ret = clFinish(queue);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to Wait for test queue to finish\n");
exit(1);
}
ret = clReleaseKernel(kernel);
ret = clReleaseMemObject(memobj);
ret = clReleaseCommandQueue(queue);
ret = clReleaseContext(context);
}
这段代码工作正常，然后我将代码提取到更多函数中，这些函数可用于我正在编写的真正的openCL。
在其余的代码中也应用了相同的原则，但这一次，它不起作用。
主：
openCLtest(argv[2], argv[3]); //This is the code above and works great
cl_device_id device_id = getDeviceId(atoi(argv[2]), atoi(argv[3]));
cl_context context = get_cl_context(&device_id);
cl_command_queue queue = get_cl_command_queue(&context, &device_id);
....
double *coords_3D = cl_extrude_coords(&device_id, &context, &queue, coords_2D, nodes, LAYERS, LAYER_HEIGHT);
cl_extrude_coords：
double *cl_extrude_coords(cl_device_id* device_id, cl_context* context, cl_command_queue* queue, double *coords, int nodes, int layers, double layer_height)
{
cl_int ret;
cl_kernel extrude_coords = compileCLkernel(context, device_id, "src/OpenCL_Kernels/extrude_coords.cl", "extrude_coords");
cl_mem coords_2d = clCreateBuffer(*context, CL_MEM_READ_ONLY, sizeof(coords) / sizeof(coords[0]), NULL, &ret);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to Create coords_2d CL Buffer %d\n", ret);
exit(1);
}
cl_mem result = clCreateBuffer(*context, CL_MEM_WRITE_ONLY, sizeof(double) * nodes * 3 * layers, NULL, &ret);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to Create result CL Buffer %d\n", ret);
exit(1);
}
ret = clEnqueueWriteBuffer(*queue, coords_2d, CL_TRUE, 0, sizeof(coords) / sizeof(coords[0]), (const void *)&coords, 0, NULL, NULL);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed enqueue coords_2d write to buffer %d\n", ret);
exit(1);
}
ret = clSetKernelArg(extrude_coords, 0, sizeof(cl_mem), (void *)&coords_2d);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to Set kernel argument coords_2d %d\n", ret);
exit(1);
}
ret = clSetKernelArg(extrude_coords, 1, sizeof(cl_mem), (void *)&result);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to Set kernel argument result CL Buffer %d\n", ret);
exit(1);
}
ret = clSetKernelArg(extrude_coords, 2, sizeof(double), (void *)&layer_height);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to Set kernel argument layers %d\n", ret);
exit(1);
}
size_t gWorkSize[] = {nodes, layers};
cl_event clEvent;
ret = clEnqueueNDRangeKernel(*queue, extrude_coords, 2, NULL, (const size_t *)&gWorkSize, NULL, 0, NULL, &clEvent);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Enqueue Extrude Coordinates Kernel\n");
exit(1);
}
double *res = (double *)malloc(sizeof(double) * nodes * 3 * layers);
ret = clFinish(*queue);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to wait for queue to finish in extrude_coords %d\n", ret);
exit(1);
}
ret = clEnqueueReadBuffer(*queue, result, CL_TRUE, 0, sizeof(double) * nodes * 3 * layers, (void *)res, 1, &clEvent, NULL);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to Enqueue the extrude_coords result buffer read %d\n", ret);
exit(1);
}
ret = clReleaseKernel(extrude_coords);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to release kernel\n");
exit(1);
}
ret = clReleaseMemObject(coords_2d);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to release result memory object\n");
exit(1);
}
ret = clReleaseMemObject(result);
if (ret != CL_SUCCESS)
{
fprintf(stderr, "Failed to release result memory object\n");
exit(1);
}
return res;
}
cl kernel：
#pragma OPENCL EXTENSION cl_khr_fp64: enable
__kernel void extrude_coords(__global const double * coords, __global double * res, const double layer_height){
uint i=get_global_id(0);
uint j=get_global_id(1);
uint layers=get_global_size(0);
res[3*(i*layers + j)] = coords[2*i];
res[3*(i*layers + j) + 1] = coords[2*i + 1];
res[3*(i*layers + j) + 2] = layer_height * j;
}
然而，此函数不起作用，在调用clFinish（队列）时抛出以下错误。
Failed to wait for queue to finish in extrude_coords -36
仔细观察，我看到-36是CL_INVALID_COMMAND_QUEUE。如果我不退出此处，则会在缓冲区读取时抛出错误，错误代码为-5，CL_OUT_OF_RESOURCES。
我不确定出了什么问题。测试此代码时的节点和层的值分别为151731和101。我不确定这是否与它有关。
是否有人对可能存在的问题以及如何解决问题有任何想法，甚至是关于代码的这种结构是否是个好主意的任何建议。计划是通过传递队列，上下文和设备ID，每个函数都可以生成并执行自己的内核，以便在程序结束时不再需要时释放队列等。
任何帮助都会受到赞赏，我已经被困了好几个小时了。
编辑：
此后我尝试将extrude_coords中clEnqueueNDRange的调用约定更改为
ret = clEnqueueNDRangeKernel(*queue, extrude_coords, 2, NULL, (const size_t *)&gWorkSize[0], NULL, 0, NULL, &clEvent);
如答案所示，但这不起作用。使用printf("%d\n", &gWorkSize == &gWorkSize[0]);进行测试表明两个指针在功能上是相同的，所以这不是问题。
然后我继续修改测试openCL代码以使用clEnqueueNDRange而不是clEnqueueTask，如下所示：
size_t gWorkSize[] = {1, 1};
// ret = clEnqueueTask(queue, kernel, 0, NULL, NULL);
ret = clEnqueueNDRangeKernel(queue, kernel, 2, NULL, (const size_t *)&gWorkSize, NULL, 0, NULL, NULL);
这仍然可以正常工作，所以别的东西显然是错的......我仍然不确定是什么......
答案 0 :(得分：1)
sizeof(coords) / sizeof(coords[0])不会在C / C ++中给出数组大小。最好使用sizeof(coords)*elementsInCoords并传入elementsInCoords。或者，将coords设置为std::vector<>并传递它，因为您可以从中获取数据指针和大小。
答案 1 :(得分：0)
看代码：
size_t gWorkSize[] = {nodes, layers};
cl_event clEvent;
ret = clEnqueueNDRangeKernel(*queue, extrude_coords, 2, NULL, (const size_t *)&gWorkSize, NULL, 0, NULL, &clEvent);
&gWorkSize的类型为size_t (*)[2]，而参数的类型必须为const size_t*
试试这个：
ret = clEnqueueNDRangeKernel(*queue, extrude_coords, 2, NULL, &gWorkSize[0], NULL, 0, NULL, &clEvent);