mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
126 lines
4.1 KiB
126 lines
4.1 KiB
/*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 |
|
// Fangfangbai, 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" |
|
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
|
|
|