opencv/modules/ocl/perf/perf_columnsum.cpp

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//	   Fangfang Bai fangfang@multicorewareinc.com
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#include "precomp.hpp"
#include <iomanip>

using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;

///////////////////////////////////////////////////////////////////////////////
/// ColumnSum

#ifdef HAVE_OPENCL

////////////////////////////////////////////////////////////////////////
// ColumnSum

PARAM_TEST_CASE(ColumnSum)
{
    cv::Mat src;
    //std::vector<cv::ocl::Info> oclinfo;

    virtual void SetUp()
    {
        //int devnums = getDevice(oclinfo);
        //CV_Assert(devnums > 0);
    }
};

TEST_F(ColumnSum, Performance)
{
    cv::Size size(MWIDTH, MHEIGHT);
    cv::Mat src = randomMat(size, CV_32FC1);
    cv::ocl::oclMat d_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 d_src(src);

        t2 = (double)cvGetTickCount(); //kernel
        cv::ocl::columnSum(d_src, d_dst);
        t2 = (double)cvGetTickCount() - t2;//kernel

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

        t1 = (double)cvGetTickCount() - t1;//gpu end1

        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;



}



#endif