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a32004f90c
opencv/modules/ocl/perf/perf_split_merge.cpp
Niko 5df77a841e remove redundant OPENCL_DIR flag 
remove as much warnings as possible
use enum instead of MACRO for ocl.hpp
add command line parser in accuracy test and perf test
some bug fix for arthim functions
2012-10-22 15:14:22 +08:00

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/*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, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Jia Haipeng, jiahaipeng95@gmail.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"
#ifdef HAVE_OPENCL
using namespace cvtest;
using namespace testing;
using namespace std;
using namespace cv::ocl;
PARAM_TEST_CASE(MergeTestBase, MatType, int)
{
int type;
int channels;
//src mat
cv::Mat mat1;
cv::Mat mat2;
cv::Mat mat3;
cv::Mat mat4;
//dst mat
cv::Mat dst;
// set up roi
int roicols;
int roirows;
int src1x;
int src1y;
int src2x;
int src2y;
int src3x;
int src3y;
int src4x;
int src4y;
int dstx;
int dsty;
//src mat with roi
cv::Mat mat1_roi;
cv::Mat mat2_roi;
cv::Mat mat3_roi;
cv::Mat mat4_roi;
//dst mat with roi
cv::Mat dst_roi;
//std::vector<cv::ocl::Info> oclinfo;
//ocl dst mat for testing
cv::ocl::oclMat gdst_whole;
//ocl mat with roi
cv::ocl::oclMat gmat1;
cv::ocl::oclMat gmat2;
cv::ocl::oclMat gmat3;
cv::ocl::oclMat gmat4;
cv::ocl::oclMat gdst;
virtual void SetUp()
{
type = GET_PARAM(0);
channels = GET_PARAM(1);
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size size(MWIDTH, MHEIGHT);
mat1 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
mat2 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
mat3 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
mat4 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
dst = randomMat(rng, size, CV_MAKETYPE(type, channels), 5, 16, false);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
//setBinpath(CLBINPATH);
}
void Has_roi(int b)
{
//cv::RNG& rng = TS::ptr()->get_rng();
if(b)
{
//randomize ROI
roicols = mat1.cols - 1; //start
roirows = mat1.rows - 1;
src1x = 1;
src1y = 1;
src2x = 1;
src2y = 1;
src3x = 1;
src3y = 1;
src4x = 1;
src4y = 1;
dstx = 1;
dsty = 1;
}
else
{
roicols = mat1.cols;
roirows = mat1.rows;
src1x = 0;
src1y = 0;
src2x = 0;
src2y = 0;
src3x = 0;
src3y = 0;
src4x = 0;
src4y = 0;
dstx = 0;
dsty = 0;
};
mat1_roi = mat1(Rect(src1x, src1y, roicols, roirows));
mat2_roi = mat2(Rect(src2x, src2y, roicols, roirows));
mat3_roi = mat3(Rect(src3x, src3y, roicols, roirows));
mat4_roi = mat4(Rect(src4x, src4y, roicols, roirows));
dst_roi = dst(Rect(dstx, dsty, roicols, roirows));
}
};
struct Merge : MergeTestBase {};
TEST_P(Merge, Accuracy)
{
#ifndef PRINT_KERNEL_RUN_TIME
double totalcputick = 0;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t0 = 0;
double t1 = 0;
double t2 = 0;
for(int k = LOOPROISTART; k < LOOPROIEND; k++)
{
totalcputick = 0;
totalgputick = 0;
totalgputick_kernel = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
Has_roi(k);
std::vector<cv::Mat> dev_src;
dev_src.push_back(mat1_roi);
dev_src.push_back(mat2_roi);
dev_src.push_back(mat3_roi);
dev_src.push_back(mat4_roi);
t0 = (double)cvGetTickCount();//cpu start
cv::merge(dev_src, dst_roi);
t0 = (double)cvGetTickCount() - t0;//cpu end
t1 = (double)cvGetTickCount();//gpu start1 ]
gmat1 = mat1_roi;
gmat2 = mat2_roi;
gmat3 = mat3_roi;
gmat4 = mat4_roi;
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
std::vector<cv::ocl::oclMat> dev_gsrc;
dev_gsrc.push_back(gmat1);
dev_gsrc.push_back(gmat2);
dev_gsrc.push_back(gmat3);
dev_gsrc.push_back(gmat4);
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::merge(dev_gsrc, gdst);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
gdst_whole.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalcputick = t0 + totalcputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
if(k == 0)
{
cout << "no roi\n";
}
else
{
cout << "with roi\n";
};
cout << "average cpu runtime is " << totalcputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
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;
}
#else
for(int j = LOOPROISTART; j < LOOPROIEND; j ++)
{
Has_roi(j);
gmat1 = mat1_roi;
gmat2 = mat2_roi;
gmat3 = mat3_roi;
gmat4 = mat4_roi;
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
std::vector<cv::ocl::oclMat> dev_gsrc;
dev_gsrc.push_back(gmat1);
dev_gsrc.push_back(gmat2);
dev_gsrc.push_back(gmat3);
dev_gsrc.push_back(gmat4);
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
cv::ocl::merge(dev_gsrc, gdst);
};
#endif
}
PARAM_TEST_CASE(SplitTestBase, MatType, int)
{
int type;
int channels;
//src mat
cv::Mat mat;
//dstmat
cv::Mat dst1;
cv::Mat dst2;
cv::Mat dst3;
cv::Mat dst4;
// set up roi
int roicols;
int roirows;
int srcx;
int srcy;
int dst1x;
int dst1y;
int dst2x;
int dst2y;
int dst3x;
int dst3y;
int dst4x;
int dst4y;
//src mat with roi
cv::Mat mat_roi;
//dst mat with roi
cv::Mat dst1_roi;
cv::Mat dst2_roi;
cv::Mat dst3_roi;
cv::Mat dst4_roi;
//std::vector<cv::ocl::Info> oclinfo;
//ocl dst mat for testing
cv::ocl::oclMat gdst1_whole;
cv::ocl::oclMat gdst2_whole;
cv::ocl::oclMat gdst3_whole;
cv::ocl::oclMat gdst4_whole;
//ocl mat with roi
cv::ocl::oclMat gmat;
cv::ocl::oclMat gdst1;
cv::ocl::oclMat gdst2;
cv::ocl::oclMat gdst3;
cv::ocl::oclMat gdst4;
virtual void SetUp()
{
type = GET_PARAM(0);
channels = GET_PARAM(1);
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size size(MWIDTH, MHEIGHT);
mat = randomMat(rng, size, CV_MAKETYPE(type, channels), 5, 16, false);
dst1 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
dst2 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
dst3 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
dst4 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
//setBinpath(CLBINPATH);
}
void Has_roi(int b)
{
//cv::RNG& rng = TS::ptr()->get_rng();
if(b)
{
//randomize ROI
roicols = mat.cols - 1; //start
roirows = mat.rows - 1;
srcx = 1;
srcx = 1;
dst1x = 1;
dst1y = 1;
dst2x = 1;
dst2y = 1;
dst3x = 1;
dst3y = 1;
dst4x = 1;
dst4y = 1;
}
else
{
roicols = mat.cols;
roirows = mat.rows;
srcx = 0;
srcy = 0;
dst1x = 0;
dst1y = 0;
dst2x = 0;
dst2y = 0;
dst3x = 0;
dst3y = 0;
dst4x = 0;
dst4y = 0;
};
mat_roi = mat(Rect(srcx, srcy, roicols, roirows));
dst1_roi = dst1(Rect(dst1x, dst1y, roicols, roirows));
dst2_roi = dst2(Rect(dst2x, dst2y, roicols, roirows));
dst3_roi = dst3(Rect(dst3x, dst3y, roicols, roirows));
dst4_roi = dst4(Rect(dst4x, dst4y, roicols, roirows));
}
};
struct Split : SplitTestBase {};
TEST_P(Split, Accuracy)
{
#ifndef PRINT_KERNEL_RUN_TIME
double totalcputick = 0;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t0 = 0;
double t1 = 0;
double t2 = 0;
for(int k = LOOPROISTART; k < LOOPROIEND; k++)
{
totalcputick = 0;
totalgputick = 0;
totalgputick_kernel = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
Has_roi(k);
cv::Mat dev_dst[4] = {dst1_roi, dst2_roi, dst3_roi, dst4_roi};
cv::ocl::oclMat dev_gdst[4] = {gdst1, gdst2, gdst3, gdst4};
t0 = (double)cvGetTickCount();//cpu start
cv::split(mat_roi, dev_dst);
t0 = (double)cvGetTickCount() - t0;//cpu end
t1 = (double)cvGetTickCount();//gpu start1
gdst1_whole = dst1;
gdst1 = gdst1_whole(Rect(dst1x, dst1y, roicols, roirows));
gdst2_whole = dst2;
gdst2 = gdst2_whole(Rect(dst2x, dst2y, roicols, roirows));
gdst3_whole = dst3;
gdst3 = gdst3_whole(Rect(dst3x, dst3y, roicols, roirows));
gdst4_whole = dst4;
gdst4 = gdst4_whole(Rect(dst4x, dst4y, roicols, roirows));
gmat = mat_roi;
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::split(gmat, dev_gdst);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst1;
cv::Mat cpu_dst2;
cv::Mat cpu_dst3;
cv::Mat cpu_dst4;
gdst1_whole.download(cpu_dst1);
gdst2_whole.download(cpu_dst2);
gdst3_whole.download(cpu_dst3);
gdst4_whole.download(cpu_dst4);
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalcputick = t0 + totalcputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
if(k == 0)
{
cout << "no roi\n";
}
else
{
cout << "with roi\n";
};
cout << "average cpu runtime is " << totalcputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
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;
}
#else
for(int j = LOOPROISTART; j < LOOPROIEND; j ++)
{
Has_roi(j);
//cv::Mat dev_dst[4] = {dst1_roi, dst2_roi, dst3_roi, dst4_roi};
cv::ocl::oclMat dev_gdst[4] = {gdst1, gdst2, gdst3, gdst4};
gdst1_whole = dst1;
gdst1 = gdst1_whole(Rect(dst1x, dst1y, roicols, roirows));
gdst2_whole = dst2;
gdst2 = gdst2_whole(Rect(dst2x, dst2y, roicols, roirows));
gdst3_whole = dst3;
gdst3 = gdst3_whole(Rect(dst3x, dst3y, roicols, roirows));
gdst4_whole = dst4;
gdst4 = gdst4_whole(Rect(dst4x, dst4y, roicols, roirows));
gmat = mat_roi;
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
cv::ocl::split(gmat, dev_gdst);
};
#endif
}
//*************test*****************
INSTANTIATE_TEST_CASE_P(SplitMerge, Merge, Combine(
Values(CV_8UC4, CV_32FC4), Values(1, 4)));
INSTANTIATE_TEST_CASE_P(SplitMerge, Split , Combine(
Values(CV_8U, CV_32S, CV_32F), Values(1, 4)));
#endif // HAVE_OPENCL
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