opencv/modules/ocl/perf/perf_pyrup.cpp

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//    fangfang bai fangfang@multicorewareinc.com
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#include "opencv2/core/core.hpp"
#include "precomp.hpp"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;


PARAM_TEST_CASE(PyrUp, MatType, int)
{
    int type;
    int channels;
    //std::vector<cv::ocl::Info> oclinfo;

    virtual void SetUp()
    {
        type = GET_PARAM(0);
        channels = GET_PARAM(1);
        //int devnums = getDevice(oclinfo);
        //CV_Assert(devnums > 0);
    }
};

TEST_P(PyrUp, Performance)
{
    cv::Size size(MWIDTH, MHEIGHT);
    cv::Mat src = randomMat(size, CV_MAKETYPE(type, channels));
    cv::Mat dst_gold;
    cv::ocl::oclMat 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 srcMat = cv::ocl::oclMat(src);//upload

        t2 = (double)cvGetTickCount(); //kernel
        cv::ocl::pyrUp(srcMat, dst);
        t2 = (double)cvGetTickCount() - t2;//kernel

        cv::Mat cpu_dst;
        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;


}

INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrUp, Combine(
                            Values(CV_8U, CV_32F), Values(1, 4)));

#endif // HAVE_OPENCL