/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Fangfang Bai fangfang@multicorewareinc.com // // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other oclMaterials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "precomp.hpp" #include using namespace cv; using namespace cv::ocl; using namespace cvtest; using namespace testing; using namespace std; /////////////////////////////////////////////////////////////////////////////// /// ColumnSum #ifdef HAVE_OPENCL //////////////////////////////////////////////////////////////////////// // ColumnSum PARAM_TEST_CASE(ColumnSum) { cv::Mat src; //std::vector oclinfo; virtual void SetUp() { //int devnums = getDevice(oclinfo); //CV_Assert(devnums > 0); } }; TEST_F(ColumnSum, Performance) { cv::Size size(MWIDTH, MHEIGHT); cv::Mat src = randomMat(size, CV_32FC1); cv::ocl::oclMat d_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 d_src(src); t2 = (double)cvGetTickCount(); //kernel cv::ocl::columnSum(d_src, d_dst); t2 = (double)cvGetTickCount() - t2;//kernel cv::Mat cpu_dst; d_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; } #endif