opencv/modules/ocl/perf/perf_fft.cpp

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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