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