mirror of
https://github.com/opencv/opencv.git
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228 lines
5.6 KiB
C++
228 lines
5.6 KiB
C++
#include <iomanip>
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#include <stdexcept>
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#include <string>
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#include "performance.h"
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#include "opencv2/core/cuda.hpp"
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using namespace std;
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using namespace cv;
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using namespace cv::cuda;
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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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cout << (*it)->name() << endl;
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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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(*it)->run();
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}
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printHeading();
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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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(*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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}
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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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return;
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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 speedup = static_cast<double>(cpu_elapsed_) / std::max(1.0, gpu_elapsed_);
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speedup_total_ += speedup;
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printMetrics(cpu_time, gpu_time, speedup);
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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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if (samples.size() > 1)
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return (sum - samples[0]) / (samples.size() - 1);
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return sum;
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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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cout << TAB << setw(10) << "CPU, ms" << setw(10) << "GPU, ms"
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<< setw(14) << "SPEEDUP"
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<< "DESCRIPTION\n";
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cout << resetiosflags(ios_base::left);
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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 << resetiosflags(ios_base::fixed);
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}
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void TestSystem::printMetrics(double cpu_time, double gpu_time, double speedup)
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{
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cout << TAB << setiosflags(ios_base::left);
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stringstream stream;
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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(14) << 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::printError(const std::string& msg)
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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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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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static int 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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int main(int argc, const char* argv[])
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{
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int num_devices = getCudaEnabledDeviceCount();
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if (num_devices == 0)
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{
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cerr << "No GPU found or the library was compiled without CUDA support";
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return -1;
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}
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redirectError(cvErrorCallback);
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const char* keys =
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"{ h help | | print help message }"
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"{ f filter | | filter for test }"
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"{ w workdir | | set working directory }"
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"{ l list | | show all tests }"
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"{ d device | 0 | device id }"
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"{ i iters | 10 | iteration count }";
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CommandLineParser cmd(argc, argv, keys);
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if (cmd.has("help") || !cmd.check())
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{
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cmd.printMessage();
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cmd.printErrors();
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return 0;
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}
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int device = cmd.get<int>("device");
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if (device < 0 || device >= num_devices)
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{
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cerr << "Invalid device ID" << endl;
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return -1;
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}
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DeviceInfo dev_info(device);
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if (!dev_info.isCompatible())
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{
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cerr << "CUDA module isn't built for GPU #" << device << " " << dev_info.name() << ", CC " << dev_info.majorVersion() << '.' << dev_info.minorVersion() << endl;
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return -1;
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}
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setDevice(device);
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printShortCudaDeviceInfo(device);
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string filter = cmd.get<string>("filter");
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string workdir = cmd.get<string>("workdir");
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bool list = cmd.has("list");
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int iters = cmd.get<int>("iters");
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if (!filter.empty())
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TestSystem::instance().setTestFilter(filter);
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if (!workdir.empty())
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{
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if (workdir[workdir.size() - 1] != '/' && workdir[workdir.size() - 1] != '\\')
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workdir += '/';
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TestSystem::instance().setWorkingDir(workdir);
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}
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if (list)
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TestSystem::instance().setListMode(true);
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TestSystem::instance().setNumIters(iters);
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cout << "\nNote: the timings for GPU don't include data transfer" << endl;
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TestSystem::instance().run();
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return 0;
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}
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