opencv/modules/ocl/perf/test_gemm.cpp

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// @Authors
//    Fangfang Bai, fangfang@multicorewareinc.com
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#include "precomp.hpp"
using namespace std;
#ifdef HAVE_CLAMDBLAS
////////////////////////////////////////////////////////////////////////////
// GEMM
PARAM_TEST_CASE(Gemm, int, cv::Size, int) 
{
	int      type;
	cv::Size mat_size;
	int		 flags;
	vector<cv::ocl::Info> info;
	virtual void SetUp()
	{
		type     = GET_PARAM(0);
		mat_size = GET_PARAM(1);
		flags    = GET_PARAM(2);

		cv::ocl::getDevice(info);
	}
};

TEST_P(Gemm, Performance)
{
	cv::Mat a = randomMat(mat_size, type, 0.0, 10.0);
	cv::Mat b = randomMat(mat_size, type, 0.0, 10.0);
	cv::Mat c = randomMat(mat_size, type, 0.0, 10.0);
	cv::ocl::oclMat ocl_dst;	

	double totalgputick=0;
	double totalgputick_kernel=0;
	double t1=0;
	double t2=0;

	for(int j = 0; j < LOOP_TIMES+1; j ++)
	{

		t1 = (double)cvGetTickCount();//gpu start1

		cv::ocl::oclMat ga = cv::ocl::oclMat(a);//upload
		cv::ocl::oclMat gb = cv::ocl::oclMat(b);//upload
		cv::ocl::oclMat gc = cv::ocl::oclMat(c);//upload

		t2=(double)cvGetTickCount();//kernel
		cv::ocl::gemm(ga, gb, 1.0,gc, 1.0, ocl_dst, flags);
		t2 = (double)cvGetTickCount() - t2;//kernel

		cv::Mat cpu_dst;
		ocl_dst.download (cpu_dst);//download

		t1 = (double)cvGetTickCount() - t1;//gpu end

		if(j == 0)
			continue;

		totalgputick=t1+totalgputick;	
		totalgputick_kernel=t2+totalgputick_kernel;	

	}
	cout << "average gpu runtime is  " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
    cout << "average gpu runtime without data transfer is  " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
}


INSTANTIATE_TEST_CASE_P(ocl_gemm, Gemm, testing::Combine(
						testing::Values(CV_32FC1, CV_32FC2/* , CV_64FC1, CV_64FC2*/),
						testing::Values(cv::Size(512, 512), cv::Size(1024, 1024)),
						testing::Values(0, cv::GEMM_1_T, cv::GEMM_2_T, cv::GEMM_1_T + cv::GEMM_2_T)));
#endif