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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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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 materials provided with the distribution.
//
// * The name of Intel Corporation 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 "gputest.hpp"
#include "highgui.h"
#include "cv.h"
#include <string>
#include <iostream>
#include <fstream>
#include <iterator>
#include <limits>
#include <numeric>
#include <iomanip> // for cout << setw()
using namespace cv;
using namespace std;
using namespace gpu;
class CV_GpuMatAsyncCallTest : public CvTest
{
public:
CV_GpuMatAsyncCallTest();
~CV_GpuMatAsyncCallTest();
protected:
void run(int);
template <typename T>
void print_mat(const T & mat, const std::string & name) const;
bool compare_matrix(cv::Mat & cpumat);
private:
int rows;
int cols;
};
CV_GpuMatAsyncCallTest::CV_GpuMatAsyncCallTest(): CvTest( "GPU-MatOperatorAsyncCall", "async" )
{
rows = 234;
cols = 123;
//#define PRINT_MATRIX
}
CV_GpuMatAsyncCallTest::~CV_GpuMatAsyncCallTest() {}
template<typename T>
void CV_GpuMatAsyncCallTest::print_mat(const T & mat, const std::string & name) const
{
cv::imshow(name, mat);
}
bool CV_GpuMatAsyncCallTest::compare_matrix(cv::Mat & cpumat)
{
Mat cmat(cpumat.size(), cpumat.type(), Scalar::all(0));
GpuMat gmat0(cmat);
GpuMat gmat1;
GpuMat gmat2;
GpuMat gmat3;
//int64 time = getTickCount();
Stream stream;
stream.enqueueMemSet(gmat0, cv::Scalar::all(1), gmat1);
stream.enqueueMemSet(gmat0, cv::Scalar::all(1), gmat2);
stream.enqueueMemSet(gmat0, cv::Scalar::all(1), gmat3);
stream.waitForCompletion();
//int64 time1 = getTickCount();
gmat1.copyTo(gmat0);
gmat2.copyTo(gmat0);
gmat3.copyTo(gmat0);
//int64 time2 = getTickCount();
//std::cout << "\ntime async: " << std::fixed << std::setprecision(12) << double((time1 - time) / (double)getTickFrequency());
//std::cout << "\ntime sync: " << std::fixed << std::setprecision(12) << double((time2 - time1) / (double)getTickFrequency());
//std::cout << "\n";
#ifdef PRINT_MATRIX
print_mat(cmat, "cpu mat");
print_mat(gmat0, "gpu mat 0");
print_mat(gmat1, "gpu mat 1");
print_mat(gmat2, "gpu mat 2");
print_mat(gmat3, "gpu mat 3");
cv::waitKey(0);
#endif
double ret = norm(cmat, gmat0) + norm(cmat, gmat1) + norm(cmat, gmat2) + norm(cmat, gmat3);
if (ret < 1.0)
return true;
else
{
ts->printf(CvTS::LOG, "\nNorm: %f\n", ret);
return false;
}
}
void CV_GpuMatAsyncCallTest::run( int /* start_from */)
{
bool is_test_good = true;
Mat cpumat(rows, cols, CV_8U);
cpumat.setTo(Scalar::all(127));
try
{
is_test_good &= compare_matrix(cpumat);
}
catch(cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
if (is_test_good == true)
ts->set_failed_test_info(CvTS::OK);
else
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
}
//CV_GpuMatAsyncCallTest CV_GpuMatAsyncCall_test;