use perf test replace performance sample
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@@ -15,7 +15,7 @@
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// fangfang bai fangfang@multicorewareinc.com
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// Fangfang Bai, fangfang@multicorewareinc.com
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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@@ -30,7 +30,7 @@
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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@@ -42,81 +42,46 @@
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "opencv2/core/core.hpp"
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#include "precomp.hpp"
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#include <iomanip>
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#ifdef HAVE_OPENCL
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using namespace cv;
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using namespace cv::ocl;
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using namespace cvtest;
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using namespace testing;
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using namespace std;
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PARAM_TEST_CASE(PyrUp, MatType, int)
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///////////// pyrUp ////////////////////////
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TEST(pyrUp)
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{
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int type;
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int channels;
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//std::vector<cv::ocl::Info> oclinfo;
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Mat src, dst;
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int all_type[] = {CV_8UC1, CV_8UC4};
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std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
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virtual void SetUp()
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for (int size = 500; size <= 2000; size *= 2)
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{
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type = GET_PARAM(0);
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channels = GET_PARAM(1);
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//int devnums = getDevice(oclinfo);
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//CV_Assert(devnums > 0);
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}
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};
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TEST_P(PyrUp, Performance)
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{
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cv::Size size(MWIDTH, MHEIGHT);
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cv::Mat src = randomMat(size, CV_MAKETYPE(type, channels));
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cv::Mat dst_gold;
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cv::ocl::oclMat dst;
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double totalgputick = 0;
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double totalgputick_kernel = 0;
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double t1 = 0;
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double t2 = 0;
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for (int j = 0; j < LOOP_TIMES + 1; j ++)
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{
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t1 = (double)cvGetTickCount();//gpu start1
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cv::ocl::oclMat srcMat = cv::ocl::oclMat(src);//upload
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t2 = (double)cvGetTickCount(); //kernel
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cv::ocl::pyrUp(srcMat, dst);
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t2 = (double)cvGetTickCount() - t2;//kernel
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cv::Mat cpu_dst;
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dst.download(cpu_dst); //download
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t1 = (double)cvGetTickCount() - t1;//gpu end1
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if (j == 0)
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for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
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{
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continue;
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SUBTEST << size << 'x' << size << "; " << type_name[j] ;
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gen(src, size, size, all_type[j], 0, 256);
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pyrUp(src, dst);
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CPU_ON;
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pyrUp(src, dst);
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CPU_OFF;
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ocl::oclMat d_src(src);
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ocl::oclMat d_dst;
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WARMUP_ON;
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ocl::pyrUp(d_src, d_dst);
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WARMUP_OFF;
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GPU_ON;
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ocl::pyrUp(d_src, d_dst);
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;
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GPU_OFF;
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GPU_FULL_ON;
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d_src.upload(src);
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ocl::pyrUp(d_src, d_dst);
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d_dst.download(dst);
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GPU_FULL_OFF;
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}
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totalgputick = t1 + totalgputick;
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totalgputick_kernel = t2 + totalgputick_kernel;
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}
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cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
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cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrUp, Combine(
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Values(CV_8U, CV_32F), Values(1, 4)));
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#endif // HAVE_OPENCL
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}
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