OpenCL 内核编译错误

An error of OpenCL kernel compile

本文关键字:错误 编译 内核 OpenCL      更新时间:2023-10-16

当我使用Mac OS + OpenCL Framework时,您好,这段代码工作正常,但是当操作系统更改为openSUSE 11.4 +(来自AMD的OpenCL实现)时,代码变成了抛出这样的错误。似乎 typedef float clfft_complex[2];产生此错误。对此,你能说些什么?

错误:

Err: "/tmp/OCLRS2tPp.cl", line 4: error: kernel pointer arguments must point to
      addrSpace global, local, or constant
__kernel void linear_interp(__global clfft_complex *input,
                                                  ^
1 error detected in the compilation of "/tmp/OCLRS2tPp.cl".
Internal error: clc compiler invocation failed.

内核代码:

typedef float clfft_complex[2];
__kernel void linear_interp(__global clfft_complex *input,
                        __global clfft_complex *output)
{
    int global_id = get_global_id(0);
    input[global_id][0] = 1.5f;
    input[global_id][1] = 5.5f;
}

主机代码:

//////////////////////////////////
/* Preparing OpenCL Environment */
//////////////////////////////////
cl_uint cl_platformsN = 0;
cl_platform_id *cl_platformIDs = NULL;
clGetPlatformIDs (0, NULL, &cl_platformsN);
cl_platformIDs = (cl_platform_id*)malloc( cl_platformsN * sizeof(cl_platform_id));
clGetPlatformIDs(cl_platformsN, cl_platformIDs, NULL);
cl_int status = CL_SUCCESS;
cl_device_id device;    // Compute device
cl_context context;     // Compute context
CL_CHECK_ERROR(clGetDeviceIDs(cl_platformIDs[0], DEVICE_TYPE, 1, &device, NULL));
context = clCreateContext(NULL, 1, &device, NULL, NULL, &status);
////////////
/* Device */
////////////
cl_uint wavefronts_per_SIMD = 7;
cl_int device_max_cu;
size_t wg_count;
size_t global_work_size;
#if DEVICE_TYPE == CL_DEVICE_TYPE_GPU
    size_t local_work_size = 64;
#else
    size_t local_work_size = 1;
#endif
// Get info about the compute units on the device
CL_CHECK_ERROR(clGetDeviceInfo(device, CL_DEVICE_MAX_COMPUTE_UNITS, sizeof(cl_uint), &device_max_cu, NULL));
wg_count = device_max_cu * wavefronts_per_SIMD;

global_work_size = wg_count * local_work_size;
/////////////////////
/* Input Data Part */
/////////////////////
/* Input a slice properties */
int bits_per_sample;
int samples_per_pixel;
int theta_size;
int slice_size;
/* Read the slice */
clfft_complex *data_tiff = tiff_read_complex(tiff_input,
                                             &bits_per_sample,
                                             &samples_per_pixel,
                                             &slice_size,
                                             &theta_size);

////////////////////////
/* OpenCL - DFI Part */
////////////////////////
/* Sync events */
const int events_num = 5;
cl_event event_list[events_num];
/* Command Queue */
cl_command_queue command_queue = clCreateCommandQueue(context, device, 0, &status);
/* Program */
const char* programSource = load_program_source(KERNELS_FILE_PATH);
if(programSource == NULL) {
    fprintf(stderr, "Programm '%s' can not be created. File was not found.", KERNELS_FILE_PATH);
    return;
}
cl_program program = clCreateProgramWithSource(context, 1,
                                               (const char**)&programSource, NULL,
                                               &status);
status = clBuildProgram(program, 0, NULL, NULL, NULL, NULL);
size_t paramValueSize = 1024 * 1024, param_value_size_ret;
char *paramValue;
paramValue = (char*)calloc(paramValueSize, sizeof(char));
    status = clGetProgramBuildInfo( program,
                                device,
                                CL_PROGRAM_BUILD_LOG,
                                paramValueSize,
                                paramValue,
                                &param_value_size_ret);
printf("Err: %s", paramValue);
char buf[0x10000];
clGetProgramBuildInfo(program,
                      device,
                      CL_PROGRAM_BUILD_LOG,
                      0x10000,
                      buf,
                      NULL);
if(status != CL_SUCCESS) {
    fprintf(stderr, "Programm '%s' can not be build. (%s)", KERNELS_FILE_PATH, opencl_map_error(status));
    return;
}

/* Kernels */
cl_kernel kernel_linear_interp = clCreateKernel(program, "linear_interp", &status);

首先,我不知道为什么这段代码有效,但假设您的输入是一个内核指针参数 ( cl_mem ),在全局中具有特定的内存空间,那么我认为你不能强迫它具有另一个大小为 2 的维数组,给出 __global *input[2] 作为参数,因为您在调用内核之前已经设置了参数的类型。(顺便说一句,你的clSetKernelArg()在哪里?

其次,你为什么要对你的输入这样做?

input[global_id][0] = 1.5f;
input[global_id][1] = 5.5f;

因为输入内存空间通常应该只是只读的......或者也许内核只是内核的一部分?

无论如何,我不确定你在用那个内核做什么,所以:

  1. 如果这意味着你只需要一个常量 float[2] 变量,它适用到所有输入,然后你可以声明

    __constant float var[2] = {1.5f, 5.5f};

  2. 如果你的意思是input实际上是你的output,你想要要在单个工作项中写入两个浮点数,则可以将类型更改为 float2 ,或通过执行以下操作:

    vstore2((float2)(1.5f,5.5f), 0, input[global_id]);

    但不要忘记将本地工作项除以 2。