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Open Source Computer Vision Library
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496 lines
15 KiB
496 lines
15 KiB
/*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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// 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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#if GTEST_OS_WINDOWS |
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#ifndef NOMINMAX |
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#define NOMINMAX |
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#endif |
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# include <windows.h> |
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#endif |
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// This program test most of the functions in ocl module and generate data metrix of x-factor in .csv files |
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// All images needed in this test are in samples/gpu folder. |
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// For haar template, haarcascade_frontalface_alt.xml shouold be in working directory |
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void TestSystem::run() |
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{ |
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if (is_list_mode_) |
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{ |
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for (vector<Runnable *>::iterator it = tests_.begin(); it != tests_.end(); ++it) |
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{ |
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cout << (*it)->name() << endl; |
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} |
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return; |
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} |
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// Run test initializers |
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for (vector<Runnable *>::iterator it = inits_.begin(); it != inits_.end(); ++it) |
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{ |
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if ((*it)->name().find(test_filter_, 0) != string::npos) |
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{ |
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(*it)->run(); |
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} |
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} |
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printHeading(); |
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writeHeading(); |
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// Run tests |
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for (vector<Runnable *>::iterator it = tests_.begin(); it != tests_.end(); ++it) |
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{ |
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try |
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{ |
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if ((*it)->name().find(test_filter_, 0) != string::npos) |
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{ |
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cout << endl << (*it)->name() << ":\n"; |
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setCurrentTest((*it)->name()); |
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//fprintf(record_,"%s\n",(*it)->name().c_str()); |
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(*it)->run(); |
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finishCurrentSubtest(); |
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} |
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} |
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catch (const Exception &) |
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{ |
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// Message is printed via callback |
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resetCurrentSubtest(); |
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} |
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catch (const runtime_error &e) |
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{ |
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printError(e.what()); |
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resetCurrentSubtest(); |
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} |
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} |
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printSummary(); |
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writeSummary(); |
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} |
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void TestSystem::finishCurrentSubtest() |
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{ |
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if (cur_subtest_is_empty_) |
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// There is no need to print subtest statistics |
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{ |
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return; |
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} |
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double cpu_time = cpu_elapsed_ / getTickFrequency() * 1000.0; |
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double gpu_time = gpu_elapsed_ / getTickFrequency() * 1000.0; |
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double gpu_full_time = gpu_full_elapsed_ / getTickFrequency() * 1000.0; |
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double speedup = static_cast<double>(cpu_elapsed_) / std::max(1.0, gpu_elapsed_); |
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speedup_total_ += speedup; |
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double fullspeedup = static_cast<double>(cpu_elapsed_) / std::max(1.0, gpu_full_elapsed_); |
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speedup_full_total_ += fullspeedup; |
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if (speedup > top_) |
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{ |
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speedup_faster_count_++; |
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} |
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else if (speedup < bottom_) |
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{ |
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speedup_slower_count_++; |
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} |
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else |
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{ |
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speedup_equal_count_++; |
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} |
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if (fullspeedup > top_) |
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{ |
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speedup_full_faster_count_++; |
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} |
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else if (fullspeedup < bottom_) |
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{ |
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speedup_full_slower_count_++; |
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} |
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else |
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{ |
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speedup_full_equal_count_++; |
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} |
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// compute min, max and |
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std::sort(gpu_times_.begin(), gpu_times_.end()); |
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double gpu_min = gpu_times_.front() / getTickFrequency() * 1000.0; |
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double gpu_max = gpu_times_.back() / getTickFrequency() * 1000.0; |
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double deviation = 0; |
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if (gpu_times_.size() > 1) |
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{ |
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double sum = 0; |
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for (size_t i = 0; i < gpu_times_.size(); i++) |
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{ |
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int64 diff = gpu_times_[i] - static_cast<int64>(gpu_elapsed_); |
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double diff_time = diff * 1000 / getTickFrequency(); |
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sum += diff_time * diff_time; |
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} |
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deviation = std::sqrt(sum / gpu_times_.size()); |
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} |
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printMetrics(is_accurate_, cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup); |
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writeMetrics(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, gpu_min, gpu_max, deviation); |
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num_subtests_called_++; |
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resetCurrentSubtest(); |
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} |
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double TestSystem::meanTime(const vector<int64> &samples) |
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{ |
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double sum = accumulate(samples.begin(), samples.end(), 0.); |
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return sum / samples.size(); |
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} |
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void TestSystem::printHeading() |
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{ |
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cout << endl; |
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cout<< setiosflags(ios_base::left); |
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#if 0 |
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cout<<TAB<<setw(7)<< "Accu." << setw(10) << "CPU (ms)" << setw(10) << "GPU, ms" |
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<< setw(8) << "Speedup"<< setw(10)<<"GPUTotal" << setw(10) << "Total" |
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<< "Description\n"; |
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cout<<TAB<<setw(7)<<""<<setw(10)<<""<<setw(10)<<""<<setw(8)<<""<<setw(10)<<"(ms)"<<setw(10)<<"Speedup\n"; |
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#endif |
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cout<<TAB<< setw(10) << "CPU (ms)" << setw(10) << "GPU, ms" |
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<< setw(8) << "Speedup"<< setw(10)<<"GPUTotal" << setw(10) << "Total" |
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<< "Description\n"; |
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cout<<TAB<<setw(10)<<""<<setw(10)<<""<<setw(8)<<""<<setw(10)<<"(ms)"<<setw(10)<<"Speedup\n"; |
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cout << resetiosflags(ios_base::left); |
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} |
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void TestSystem::writeHeading() |
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{ |
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if (!record_) |
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{ |
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recordname_ += "_OCL.csv"; |
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record_ = fopen(recordname_.c_str(), "w"); |
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if(record_ == NULL) |
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{ |
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cout<<".csv file open failed.\n"; |
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exit(0); |
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} |
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} |
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fprintf(record_, "NAME,DESCRIPTION,ACCURACY,DIFFERENCE,CPU (ms),GPU (ms),SPEEDUP,GPUTOTAL (ms),TOTALSPEEDUP,GPU Min (ms),GPU Max (ms), Standard deviation (ms)\n"); |
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fflush(record_); |
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} |
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void TestSystem::printSummary() |
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{ |
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cout << setiosflags(ios_base::fixed); |
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cout << "\naverage GPU speedup: x" |
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<< setprecision(3) << speedup_total_ / std::max(1, num_subtests_called_) |
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<< endl; |
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cout << "\nGPU exceeded: " |
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<< setprecision(3) << speedup_faster_count_ |
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<< "\nGPU passed: " |
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<< setprecision(3) << speedup_equal_count_ |
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<< "\nGPU failed: " |
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<< setprecision(3) << speedup_slower_count_ |
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<< endl; |
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cout << "\nGPU exceeded rate: " |
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<< setprecision(3) << (float)speedup_faster_count_ / std::max(1, num_subtests_called_) * 100 |
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<< "%" |
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<< "\nGPU passed rate: " |
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<< setprecision(3) << (float)speedup_equal_count_ / std::max(1, num_subtests_called_) * 100 |
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<< "%" |
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<< "\nGPU failed rate: " |
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<< setprecision(3) << (float)speedup_slower_count_ / std::max(1, num_subtests_called_) * 100 |
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<< "%" |
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<< endl; |
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cout << "\naverage GPUTOTAL speedup: x" |
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<< setprecision(3) << speedup_full_total_ / std::max(1, num_subtests_called_) |
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<< endl; |
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cout << "\nGPUTOTAL exceeded: " |
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<< setprecision(3) << speedup_full_faster_count_ |
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<< "\nGPUTOTAL passed: " |
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<< setprecision(3) << speedup_full_equal_count_ |
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<< "\nGPUTOTAL failed: " |
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<< setprecision(3) << speedup_full_slower_count_ |
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<< endl; |
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cout << "\nGPUTOTAL exceeded rate: " |
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<< setprecision(3) << (float)speedup_full_faster_count_ / std::max(1, num_subtests_called_) * 100 |
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<< "%" |
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<< "\nGPUTOTAL passed rate: " |
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<< setprecision(3) << (float)speedup_full_equal_count_ / std::max(1, num_subtests_called_) * 100 |
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<< "%" |
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<< "\nGPUTOTAL failed rate: " |
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<< setprecision(3) << (float)speedup_full_slower_count_ / std::max(1, num_subtests_called_) * 100 |
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<< "%" |
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<< endl; |
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cout << resetiosflags(ios_base::fixed); |
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} |
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enum GTestColor { |
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COLOR_DEFAULT, |
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COLOR_RED, |
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COLOR_GREEN, |
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COLOR_YELLOW |
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}; |
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#if GTEST_OS_WINDOWS&&!GTEST_OS_WINDOWS_MOBILE |
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// Returns the character attribute for the given color. |
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static WORD GetColorAttribute(GTestColor color) { |
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switch (color) { |
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case COLOR_RED: return FOREGROUND_RED; |
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case COLOR_GREEN: return FOREGROUND_GREEN; |
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case COLOR_YELLOW: return FOREGROUND_RED | FOREGROUND_GREEN; |
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default: return 0; |
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} |
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} |
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#else |
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static const char* GetAnsiColorCode(GTestColor color) { |
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switch (color) { |
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case COLOR_RED: return "1"; |
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case COLOR_GREEN: return "2"; |
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case COLOR_YELLOW: return "3"; |
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default: return NULL; |
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}; |
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} |
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#endif |
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static void printMetricsUti(double cpu_time, double gpu_time, double gpu_full_time, double speedup, double fullspeedup, std::stringstream& stream, std::stringstream& cur_subtest_description) |
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{ |
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//cout <<TAB<< setw(7) << stream.str(); |
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cout <<TAB; |
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stream.str(""); |
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stream << cpu_time; |
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cout << setw(10) << stream.str(); |
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stream.str(""); |
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stream << gpu_time; |
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cout << setw(10) << stream.str(); |
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stream.str(""); |
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stream << "x" << setprecision(3) << speedup; |
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cout << setw(8) << stream.str(); |
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stream.str(""); |
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stream << gpu_full_time; |
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cout << setw(10) << stream.str(); |
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stream.str(""); |
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stream << "x" << setprecision(3) << fullspeedup; |
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cout << setw(10) << stream.str(); |
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cout << cur_subtest_description.str(); |
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cout << resetiosflags(ios_base::left) << endl; |
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} |
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void TestSystem::printMetrics(int is_accurate, double cpu_time, double gpu_time, double gpu_full_time, double speedup, double fullspeedup) |
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{ |
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cout << setiosflags(ios_base::left); |
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stringstream stream; |
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std::stringstream &cur_subtest_description = getCurSubtestDescription(); |
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#if GTEST_OS_WINDOWS&&!GTEST_OS_WINDOWS_MOBILE |
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WORD color; |
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const HANDLE stdout_handle = GetStdHandle(STD_OUTPUT_HANDLE); |
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// Gets the current text color. |
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CONSOLE_SCREEN_BUFFER_INFO buffer_info; |
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GetConsoleScreenBufferInfo(stdout_handle, &buffer_info); |
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const WORD old_color_attrs = buffer_info.wAttributes; |
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// We need to flush the stream buffers into the console before each |
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// SetConsoleTextAttribute call lest it affect the text that is already |
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// printed but has not yet reached the console. |
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fflush(stdout); |
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if(is_accurate == 1||is_accurate == -1) |
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{ |
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color = old_color_attrs; |
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printMetricsUti(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, stream, cur_subtest_description); |
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}else |
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{ |
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color = GetColorAttribute(COLOR_RED); |
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SetConsoleTextAttribute(stdout_handle, |
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color| FOREGROUND_INTENSITY); |
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printMetricsUti(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, stream, cur_subtest_description); |
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fflush(stdout); |
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// Restores the text color. |
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SetConsoleTextAttribute(stdout_handle, old_color_attrs); |
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} |
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#else |
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GTestColor color = COLOR_RED; |
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if(is_accurate == 1|| is_accurate == -1) |
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{ |
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printMetricsUti(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, stream, cur_subtest_description); |
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}else |
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{ |
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printf("\033[0;3%sm", GetAnsiColorCode(color)); |
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printMetricsUti(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, stream, cur_subtest_description); |
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printf("\033[m"); // Resets the terminal to default. |
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} |
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#endif |
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} |
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void TestSystem::writeMetrics(double cpu_time, double gpu_time, double gpu_full_time, double speedup, double fullspeedup, double gpu_min, double gpu_max, double std_dev) |
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{ |
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if (!record_) |
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{ |
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recordname_ += ".csv"; |
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record_ = fopen(recordname_.c_str(), "w"); |
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} |
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string _is_accurate_; |
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if(is_accurate_ == 1) |
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_is_accurate_ = "Pass"; |
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else if(is_accurate_ == 0) |
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_is_accurate_ = "Fail"; |
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else if(is_accurate_ == -1) |
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_is_accurate_ = " "; |
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else |
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{ |
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std::cout<<"is_accurate errer: "<<is_accurate_<<"\n"; |
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exit(-1); |
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} |
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fprintf(record_, "%s,%s,%s,%.2f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f\n", |
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itname_changed_ ? itname_.c_str() : "", |
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cur_subtest_description_.str().c_str(), |
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_is_accurate_.c_str(), |
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accurate_diff_, |
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cpu_time, gpu_time, speedup, gpu_full_time, fullspeedup, |
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gpu_min, gpu_max, std_dev); |
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if (itname_changed_) |
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{ |
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itname_changed_ = false; |
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} |
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fflush(record_); |
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} |
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void TestSystem::writeSummary() |
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{ |
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if (!record_) |
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{ |
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recordname_ += ".csv"; |
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record_ = fopen(recordname_.c_str(), "w"); |
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} |
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fprintf(record_, "\nAverage GPU speedup: %.3f\n" |
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"exceeded: %d (%.3f%%)\n" |
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"passed: %d (%.3f%%)\n" |
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"failed: %d (%.3f%%)\n" |
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"\nAverage GPUTOTAL speedup: %.3f\n" |
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"exceeded: %d (%.3f%%)\n" |
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"passed: %d (%.3f%%)\n" |
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"failed: %d (%.3f%%)\n", |
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speedup_total_ / std::max(1, num_subtests_called_), |
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speedup_faster_count_, (float)speedup_faster_count_ / std::max(1, num_subtests_called_) * 100, |
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speedup_equal_count_, (float)speedup_equal_count_ / std::max(1, num_subtests_called_) * 100, |
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speedup_slower_count_, (float)speedup_slower_count_ / std::max(1, num_subtests_called_) * 100, |
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speedup_full_total_ / std::max(1, num_subtests_called_), |
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speedup_full_faster_count_, (float)speedup_full_faster_count_ / std::max(1, num_subtests_called_) * 100, |
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speedup_full_equal_count_, (float)speedup_full_equal_count_ / std::max(1, num_subtests_called_) * 100, |
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speedup_full_slower_count_, (float)speedup_full_slower_count_ / std::max(1, num_subtests_called_) * 100 |
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); |
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fflush(record_); |
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} |
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void TestSystem::printError(const std::string &msg) |
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{ |
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if(msg != "CL_INVALID_BUFFER_SIZE") |
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{ |
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cout << TAB << "[error: " << msg << "] " << cur_subtest_description_.str() << endl; |
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} |
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} |
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void gen(Mat &mat, int rows, int cols, int type, Scalar low, Scalar high) |
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{ |
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mat.create(rows, cols, type); |
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RNG rng(0); |
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rng.fill(mat, RNG::UNIFORM, low, high); |
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} |
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string abspath(const string &relpath) |
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{ |
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return TestSystem::instance().workingDir() + relpath; |
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} |
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int CV_CDECL cvErrorCallback(int /*status*/, const char * /*func_name*/, |
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const char *err_msg, const char * /*file_name*/, |
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int /*line*/, void * /*userdata*/) |
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{ |
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TestSystem::instance().printError(err_msg); |
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return 0; |
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} |
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double checkNorm(const Mat &m) |
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{ |
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return norm(m, NORM_INF); |
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} |
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double checkNorm(const Mat &m1, const Mat &m2) |
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{ |
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return norm(m1, m2, NORM_INF); |
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} |
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double checkSimilarity(const Mat &m1, const Mat &m2) |
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{ |
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Mat diff; |
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matchTemplate(m1, m2, diff, CV_TM_CCORR_NORMED); |
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return std::abs(diff.at<float>(0, 0) - 1.f); |
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} |
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