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//                For Open Source Computer Vision Library
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//    Fangfangbai, fangfang@multicorewareinc.com
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#include "precomp.hpp"
using namespace std;
#ifdef HAVE_CLAMDFFT
////////////////////////////////////////////////////////////////////////////
// Dft
PARAM_TEST_CASE(Dft, cv::Size, bool)
{
    cv::Size dft_size;
    bool	 dft_rows;
    vector<cv::ocl::Info> info;
    virtual void SetUp()
    {
        dft_size = GET_PARAM(0);
        dft_rows = GET_PARAM(1);
        cv::ocl::getDevice(info);
    }
};

TEST_P(Dft, C2C)
{
    cv::Mat a = randomMat(dft_size, CV_32FC2, 0.0, 10.0);
    int flags = 0;
    flags |= dft_rows ? cv::DFT_ROWS : 0;

    cv::ocl::oclMat d_b;

    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

        t2 = (double)cvGetTickCount(); //kernel
        cv::ocl::dft(ga, d_b, a.size(), flags);
        t2 = (double)cvGetTickCount() - t2;//kernel

        cv::Mat cpu_dst;
        d_b.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;
}



TEST_P(Dft, R2CthenC2R)
{
    cv::Mat a = randomMat(dft_size, CV_32FC1, 0.0, 10.0);

    int flags = 0;
    //flags |= dft_rows ? cv::DFT_ROWS : 0; // not supported yet

    cv::ocl::oclMat d_b, d_c;

    cv::ocl::dft(cv::ocl::oclMat(a), d_b, a.size(), flags);
    cv::ocl::dft(d_b, d_c, a.size(), flags + cv::DFT_INVERSE + cv::DFT_REAL_OUTPUT);

    EXPECT_MAT_NEAR(a, d_c, a.size().area() * 1e-4, "");
}

//INSTANTIATE_TEST_CASE_P(ocl_DFT, Dft, testing::Combine(
//						testing::Values(cv::Size(1280, 1024), cv::Size(1920, 1080),cv::Size(1800, 1500)),
//						testing::Values(false, true)));

#endif // HAVE_CLAMDFFT