97156897b2
change the download channels to oclchannles() fix bugs of arithm functions perf fix of bilateral bug fix of split test case add build_warps functions
127 lines
4.3 KiB
C++
127 lines
4.3 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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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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// Fangfangbai, 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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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other oclMaterials provided with the distribution.
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//
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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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// 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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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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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 "precomp.hpp"
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using namespace std;
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#ifdef HAVE_CLAMDFFT
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////////////////////////////////////////////////////////////////////////////
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// Dft
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PARAM_TEST_CASE(Dft, cv::Size, bool)
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{
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cv::Size dft_size;
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bool dft_rows;
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vector<cv::ocl::Info> info;
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virtual void SetUp()
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{
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dft_size = GET_PARAM(0);
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dft_rows = GET_PARAM(1);
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cv::ocl::getDevice(info);
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}
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};
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TEST_P(Dft, C2C)
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{
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cv::Mat a = randomMat(dft_size, CV_32FC2, 0.0, 10.0);
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int flags = 0;
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flags |= dft_rows ? cv::DFT_ROWS : 0;
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cv::ocl::oclMat d_b;
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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 ga = cv::ocl::oclMat(a); //upload
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t2 = (double)cvGetTickCount(); //kernel
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cv::ocl::dft(ga, d_b, a.size(), flags);
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t2 = (double)cvGetTickCount() - t2;//kernel
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cv::Mat cpu_dst;
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d_b.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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continue;
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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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TEST_P(Dft, R2CthenC2R)
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{
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cv::Mat a = randomMat(dft_size, CV_32FC1, 0.0, 10.0);
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int flags = 0;
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//flags |= dft_rows ? cv::DFT_ROWS : 0; // not supported yet
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cv::ocl::oclMat d_b, d_c;
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cv::ocl::dft(cv::ocl::oclMat(a), d_b, a.size(), flags);
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cv::ocl::dft(d_b, d_c, a.size(), flags + cv::DFT_INVERSE + cv::DFT_REAL_OUTPUT);
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EXPECT_MAT_NEAR(a, d_c, a.size().area() * 1e-4, "");
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}
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//INSTANTIATE_TEST_CASE_P(ocl_DFT, Dft, testing::Combine(
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// testing::Values(cv::Size(1280, 1024), cv::Size(1920, 1080),cv::Size(1800, 1500)),
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// testing::Values(false, true)));
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#endif // HAVE_CLAMDFFT
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