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Merge branch '2.4'

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This commit is contained in:
Andrey Kamaev
2013-04-05 19:52:42 +04:00
parent 3785439917 74e5ff2ec7
commit 67073daf19
154 changed files with 11355 additions and 16795 deletions
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330
modules/ocl/perf/precomp.cpp
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@@ -7,12 +7,13 @@
// copy or use the software.
//
//
// Intel License Agreement
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// 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.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
@@ -21,12 +22,12 @@
//
// * 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.
// and/or other oclMaterials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// * 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
// 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,
@@ -41,4 +42,321 @@
#include "precomp.hpp"
// This program test most of the functions in ocl module and generate data metrix of x-factor in .csv files
// All images needed in this test are in samples/gpu folder.
// For haar template, haarcascade_frontalface_alt.xml shouold be in working directory
void TestSystem::run()
{
if (is_list_mode_)
{
for (vector<Runnable *>::iterator it = tests_.begin(); it != tests_.end(); ++it)
{
cout << (*it)->name() << endl;
}
return;
}
// Run test initializers
for (vector<Runnable *>::iterator it = inits_.begin(); it != inits_.end(); ++it)
{
if ((*it)->name().find(test_filter_, 0) != string::npos)
{
(*it)->run();
}
}
printHeading();
writeHeading();
// Run tests
for (vector<Runnable *>::iterator it = tests_.begin(); it != tests_.end(); ++it)
{
try
{
if ((*it)->name().find(test_filter_, 0) != string::npos)
{
cout << endl << (*it)->name() << ":\n";
setCurrentTest((*it)->name());
//fprintf(record_,"%s\n",(*it)->name().c_str());
(*it)->run();
finishCurrentSubtest();
}
}
catch (const Exception &)
{
// Message is printed via callback
resetCurrentSubtest();
}
catch (const runtime_error &e)
{
printError(e.what());
resetCurrentSubtest();
}
}
printSummary();
writeSummary();
}
void TestSystem::finishCurrentSubtest()
{
if (cur_subtest_is_empty_)
// There is no need to print subtest statistics
{
return;
}
double cpu_time = cpu_elapsed_ / getTickFrequency() * 1000.0;
double gpu_time = gpu_elapsed_ / getTickFrequency() * 1000.0;
double gpu_full_time = gpu_full_elapsed_ / getTickFrequency() * 1000.0;
double speedup = static_cast<double>(cpu_elapsed_) / std::max(1.0, gpu_elapsed_);
speedup_total_ += speedup;
double fullspeedup = static_cast<double>(cpu_elapsed_) / std::max(1.0, gpu_full_elapsed_);
speedup_full_total_ += fullspeedup;
if (speedup > top_)
{
speedup_faster_count_++;
}
else if (speedup < bottom_)
{
speedup_slower_count_++;
}
else
{
speedup_equal_count_++;
}
if (fullspeedup > top_)
{
speedup_full_faster_count_++;
}
else if (fullspeedup < bottom_)
{
speedup_full_slower_count_++;
}
else
{
speedup_full_equal_count_++;
}
// compute min, max and
std::sort(gpu_times_.begin(), gpu_times_.end());
double gpu_min = gpu_times_.front() / getTickFrequency() * 1000.0;
double gpu_max = gpu_times_.back() / getTickFrequency() * 1000.0;
double deviation = 0;
if (gpu_times_.size() > 1)
{
double sum = 0;
for (size_t i = 0; i < gpu_times_.size(); i++)
{
int64 diff = gpu_times_[i] - static_cast<int64>(gpu_elapsed_);
double diff_time = diff * 1000 / getTickFrequency();
sum += diff_time * diff_time;
}
deviation = std::sqrt(sum / gpu_times_.size());
}
printMetrics(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup);
writeMetrics(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, gpu_min, gpu_max, deviation);
num_subtests_called_++;
resetCurrentSubtest();
}
double TestSystem::meanTime(const vector<int64> &samples)
{
double sum = accumulate(samples.begin(), samples.end(), 0.);
return sum / samples.size();
}
void TestSystem::printHeading()
{
cout << endl;
cout << setiosflags(ios_base::left);
cout << TAB << setw(10) << "CPU, ms" << setw(10) << "GPU, ms"
<< setw(14) << "SPEEDUP" << setw(14) << "GPUTOTAL, ms" << setw(14) << "TOTALSPEEDUP"
<< "DESCRIPTION\n";
cout << resetiosflags(ios_base::left);
}
void TestSystem::writeHeading()
{
if (!record_)
{
recordname_ += "_OCL.csv";
record_ = fopen(recordname_.c_str(), "w");
}
fprintf(record_, "NAME,DESCRIPTION,CPU (ms),GPU (ms),SPEEDUP,GPUTOTAL (ms),TOTALSPEEDUP,GPU Min (ms),GPU Max (ms), Standard deviation (ms)\n");
fflush(record_);
}
void TestSystem::printSummary()
{
cout << setiosflags(ios_base::fixed);
cout << "\naverage GPU speedup: x"
<< setprecision(3) << speedup_total_ / std::max(1, num_subtests_called_)
<< endl;
cout << "\nGPU exceeded: "
<< setprecision(3) << speedup_faster_count_
<< "\nGPU passed: "
<< setprecision(3) << speedup_equal_count_
<< "\nGPU failed: "
<< setprecision(3) << speedup_slower_count_
<< endl;
cout << "\nGPU exceeded rate: "
<< setprecision(3) << (float)speedup_faster_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPU passed rate: "
<< setprecision(3) << (float)speedup_equal_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPU failed rate: "
<< setprecision(3) << (float)speedup_slower_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< endl;
cout << "\naverage GPUTOTAL speedup: x"
<< setprecision(3) << speedup_full_total_ / std::max(1, num_subtests_called_)
<< endl;
cout << "\nGPUTOTAL exceeded: "
<< setprecision(3) << speedup_full_faster_count_
<< "\nGPUTOTAL passed: "
<< setprecision(3) << speedup_full_equal_count_
<< "\nGPUTOTAL failed: "
<< setprecision(3) << speedup_full_slower_count_
<< endl;
cout << "\nGPUTOTAL exceeded rate: "
<< setprecision(3) << (float)speedup_full_faster_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPUTOTAL passed rate: "
<< setprecision(3) << (float)speedup_full_equal_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPUTOTAL failed rate: "
<< setprecision(3) << (float)speedup_full_slower_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< endl;
cout << resetiosflags(ios_base::fixed);
}
void TestSystem::printMetrics(double cpu_time, double gpu_time, double gpu_full_time, double speedup, double fullspeedup)
{
cout << TAB << setiosflags(ios_base::left);
stringstream stream;
stream << cpu_time;
cout << setw(10) << stream.str();
stream.str("");
stream << gpu_time;
cout << setw(10) << stream.str();
stream.str("");
stream << "x" << setprecision(3) << speedup;
cout << setw(14) << stream.str();
stream.str("");
stream << gpu_full_time;
cout << setw(14) << stream.str();
stream.str("");
stream << "x" << setprecision(3) << fullspeedup;
cout << setw(14) << stream.str();
cout << cur_subtest_description_.str();
cout << resetiosflags(ios_base::left) << endl;
}
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)
{
if (!record_)
{
recordname_ += ".csv";
record_ = fopen(recordname_.c_str(), "w");
}
fprintf(record_, "%s,%s,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f\n", itname_changed_ ? itname_.c_str() : "",
cur_subtest_description_.str().c_str(),
cpu_time, gpu_time, speedup, gpu_full_time, fullspeedup,
gpu_min, gpu_max, std_dev);
if (itname_changed_)
{
itname_changed_ = false;
}
fflush(record_);
}
void TestSystem::writeSummary()
{
if (!record_)
{
recordname_ += ".csv";
record_ = fopen(recordname_.c_str(), "w");
}
fprintf(record_, "\nAverage GPU speedup: %.3f\n"
"exceeded: %d (%.3f%%)\n"
"passed: %d (%.3f%%)\n"
"failed: %d (%.3f%%)\n"
"\nAverage GPUTOTAL speedup: %.3f\n"
"exceeded: %d (%.3f%%)\n"
"passed: %d (%.3f%%)\n"
"failed: %d (%.3f%%)\n",
speedup_total_ / std::max(1, num_subtests_called_),
speedup_faster_count_, (float)speedup_faster_count_ / std::max(1, num_subtests_called_) * 100,
speedup_equal_count_, (float)speedup_equal_count_ / std::max(1, num_subtests_called_) * 100,
speedup_slower_count_, (float)speedup_slower_count_ / std::max(1, num_subtests_called_) * 100,
speedup_full_total_ / std::max(1, num_subtests_called_),
speedup_full_faster_count_, (float)speedup_full_faster_count_ / std::max(1, num_subtests_called_) * 100,
speedup_full_equal_count_, (float)speedup_full_equal_count_ / std::max(1, num_subtests_called_) * 100,
speedup_full_slower_count_, (float)speedup_full_slower_count_ / std::max(1, num_subtests_called_) * 100
);
fflush(record_);
}
void TestSystem::printError(const std::string &msg)
{
if(msg != "CL_INVALID_BUFFER_SIZE")
{
cout << TAB << "[error: " << msg << "] " << cur_subtest_description_.str() << endl;
}
}
void gen(Mat &mat, int rows, int cols, int type, Scalar low, Scalar high)
{
mat.create(rows, cols, type);
RNG rng(0);
rng.fill(mat, RNG::UNIFORM, low, high);
}
string abspath(const string &relpath)
{
return TestSystem::instance().workingDir() + relpath;
}
int CV_CDECL cvErrorCallback(int /*status*/, const char * /*func_name*/,
const char *err_msg, const char * /*file_name*/,
int /*line*/, void * /*userdata*/)
{
TestSystem::instance().printError(err_msg);
return 0;
}