OpenCL 操作context

来源：互联网发布：python中idle是什么编辑：程序博客网时间：2024/06/03 07:48

本程序主要测试：

context = clCreateContext(NULL, 1, &device, NULL, NULL, &err);

创建一个context

clRetainContext(context);//Context的reference +1

clReleaseContext(context);//Context的reference -1

#include <stdio.h>#include <stdlib.h>#include <string.h>#ifdef MAC#include <OpenCL/cl.h>#else#include <CL/cl.h>#endifnamespace context_count{int run() {cl_platform_id platform;cl_device_id device;cl_context context;cl_int err;cl_uint ref_count;err = clGetPlatformIDs(1, &platform, NULL);if(err < 0) {perror("Couldn't find any platforms");exit(1);}err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 1, &device, NULL);if(err == CL_DEVICE_NOT_FOUND) {err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_CPU, 1, &device, NULL);}if(err < 0) {perror("Couldn't find any devices");exit(1);}/* 创建 context */context = clCreateContext(NULL, 1, &device, NULL, NULL, &err);if(err < 0) {perror("Couldn't create a context");exit(1);   }/* 获取reference count的数量，使用ref_count返回值*/err = clGetContextInfo(context, CL_CONTEXT_REFERENCE_COUNT, sizeof(ref_count), &ref_count, NULL);if(err < 0) {perror("Couldn't read the reference count.");exit(1);}printf("Initial reference count: %u\n", ref_count);/* 每次函数访问context的时候,调用clRetainContext，就是把context reference + 1，因为context并不是像platform和device那样delete的，而是clRetainContext的时候+1，当调用clReleaseContext的时候-1，当为零的时候，系统自动删除context。这就可以方便cl_context数据存活超过创建它的函数，可以让第三方库什么的继续访问context */clRetainContext(context);clRetainContext(context);clGetContextInfo(context, CL_CONTEXT_REFERENCE_COUNT, sizeof(ref_count), &ref_count, NULL);printf("Reference count: %u\n", ref_count);clReleaseContext(context);clGetContextInfo(context, CL_CONTEXT_REFERENCE_COUNT, sizeof(ref_count), &ref_count, NULL);printf("Reference count: %u\n", ref_count);clReleaseContext(context);clReleaseContext(context);system("pause");return 0;}}

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