perf: added simple collection strategy
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c5afaa4e8d
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376cd8f84f
@ -67,5 +67,7 @@ static const char * impls[] =
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int main(int argc, char ** argv)
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int main(int argc, char ** argv)
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{
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{
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::perf::TestBase::setPerformanceStrategy(::perf::PERF_STRATEGY_SIMPLE);
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CV_PERF_TEST_MAIN_INTERNALS(ocl, impls, dumpOpenCLDevice())
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CV_PERF_TEST_MAIN_INTERNALS(ocl, impls, dumpOpenCLDevice())
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}
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}
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@ -247,9 +247,20 @@ typedef struct CV_EXPORTS performance_metrics
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};
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};
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performance_metrics();
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performance_metrics();
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void clear();
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} performance_metrics;
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} performance_metrics;
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/*****************************************************************************************\
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* Strategy for performance measuring *
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\*****************************************************************************************/
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enum PERF_STRATEGY
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{
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PERF_STRATEGY_BASE = 0,
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PERF_STRATEGY_SIMPLE = 1,
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};
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/*****************************************************************************************\
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/*****************************************************************************************\
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* Base fixture for performance tests *
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* Base fixture for performance tests *
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\*****************************************************************************************/
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\*****************************************************************************************/
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@ -265,6 +276,9 @@ public:
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static std::string getDataPath(const std::string& relativePath);
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static std::string getDataPath(const std::string& relativePath);
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static std::string getSelectedImpl();
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static std::string getSelectedImpl();
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static enum PERF_STRATEGY getPerformanceStrategy();
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static enum PERF_STRATEGY setPerformanceStrategy(enum PERF_STRATEGY strategy);
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protected:
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protected:
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virtual void PerfTestBody() = 0;
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virtual void PerfTestBody() = 0;
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@ -18,6 +18,9 @@ int64 TestBase::_timeadjustment = 0;
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static std::vector<std::string> available_impls;
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static std::vector<std::string> available_impls;
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static std::string param_impl;
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static std::string param_impl;
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static enum PERF_STRATEGY param_strategy = PERF_STRATEGY_BASE;
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static double param_max_outliers;
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static double param_max_outliers;
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static double param_max_deviation;
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static double param_max_deviation;
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static unsigned int param_min_samples;
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static unsigned int param_min_samples;
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@ -152,7 +155,7 @@ void Regression::init(const std::string& testSuitName, const std::string& ext)
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{
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{
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if (!storageInPath.empty())
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if (!storageInPath.empty())
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{
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{
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LOGE("Subsequent initialisation of Regression utility is not allowed.");
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LOGE("Subsequent initialization of Regression utility is not allowed.");
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return;
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return;
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}
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}
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@ -598,6 +601,11 @@ Regression& Regression::operator() (const std::string& name, cv::InputArray arra
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* ::perf::performance_metrics
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* ::perf::performance_metrics
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\*****************************************************************************************/
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\*****************************************************************************************/
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performance_metrics::performance_metrics()
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performance_metrics::performance_metrics()
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{
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clear();
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}
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void performance_metrics::clear()
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{
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{
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bytesIn = 0;
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bytesIn = 0;
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bytesOut = 0;
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bytesOut = 0;
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@ -643,6 +651,7 @@ void TestBase::Init(const std::vector<std::string> & availableImpls,
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"|the implementation variant of functions under test}"
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"|the implementation variant of functions under test}"
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"{ |perf_list_impls |false |list available implementation variants and exit}"
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"{ |perf_list_impls |false |list available implementation variants and exit}"
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"{ |perf_run_cpu |false |deprecated, equivalent to --perf_impl=plain}"
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"{ |perf_run_cpu |false |deprecated, equivalent to --perf_impl=plain}"
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"{ |perf_strategy |default |specifies performance measuring strategy: default, base or simple (weak restrictions)}"
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#ifdef ANDROID
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#ifdef ANDROID
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"{ |perf_time_limit |6.0 |default time limit for a single test (in seconds)}"
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"{ |perf_time_limit |6.0 |default time limit for a single test (in seconds)}"
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"{ |perf_affinity_mask |0 |set affinity mask for the main thread}"
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"{ |perf_affinity_mask |0 |set affinity mask for the main thread}"
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@ -669,6 +678,24 @@ void TestBase::Init(const std::vector<std::string> & availableImpls,
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::testing::AddGlobalTestEnvironment(new PerfEnvironment);
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::testing::AddGlobalTestEnvironment(new PerfEnvironment);
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param_impl = args.get<bool>("perf_run_cpu") ? "plain" : args.get<std::string>("perf_impl");
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param_impl = args.get<bool>("perf_run_cpu") ? "plain" : args.get<std::string>("perf_impl");
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std::string perf_strategy = args.get<std::string>("perf_strategy");
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if (perf_strategy == "default")
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{
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// nothing
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}
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else if (perf_strategy == "base")
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{
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param_strategy = PERF_STRATEGY_BASE;
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}
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else if (perf_strategy == "simple")
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{
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param_strategy = PERF_STRATEGY_SIMPLE;
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}
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else
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{
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printf("No such strategy: %s\n", perf_strategy.c_str());
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exit(1);
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}
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param_max_outliers = std::min(100., std::max(0., args.get<double>("perf_max_outliers")));
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param_max_outliers = std::min(100., std::max(0., args.get<double>("perf_max_outliers")));
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param_min_samples = std::max(1u, args.get<unsigned int>("perf_min_samples"));
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param_min_samples = std::max(1u, args.get<unsigned int>("perf_min_samples"));
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param_max_deviation = std::max(0., args.get<double>("perf_max_deviation"));
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param_max_deviation = std::max(0., args.get<double>("perf_max_deviation"));
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@ -762,6 +789,18 @@ std::string TestBase::getSelectedImpl()
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return param_impl;
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return param_impl;
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}
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}
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enum PERF_STRATEGY TestBase::getPerformanceStrategy()
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{
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return param_strategy;
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}
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enum PERF_STRATEGY TestBase::setPerformanceStrategy(enum PERF_STRATEGY strategy)
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{
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enum PERF_STRATEGY ret = param_strategy;
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param_strategy = strategy;
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return ret;
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}
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int64 TestBase::_calibrate()
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int64 TestBase::_calibrate()
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{
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{
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@ -792,6 +831,11 @@ int64 TestBase::_calibrate()
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_helper h;
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_helper h;
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h.PerfTestBody();
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h.PerfTestBody();
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double compensation = h.getMetrics().min;
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double compensation = h.getMetrics().min;
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if (param_strategy == PERF_STRATEGY_SIMPLE)
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{
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CV_Assert(compensation < 0.01 * cv::getTickFrequency());
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compensation = 0.0f; // simple strategy doesn't require any compensation
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}
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LOGD("Time compensation is %.0f", compensation);
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LOGD("Time compensation is %.0f", compensation);
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return (int64)compensation;
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return (int64)compensation;
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}
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}
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@ -855,8 +899,64 @@ cv::Size TestBase::getSize(cv::InputArray a)
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bool TestBase::next()
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bool TestBase::next()
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{
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{
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bool has_next = ++currentIter < nIters && totalTime < timeLimit;
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static int64 lastActivityPrintTime = 0;
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if (currentIter != (unsigned int)-1)
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{
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if (currentIter + 1 != times.size())
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ADD_FAILURE() << " next() is called before stopTimer()";
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}
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else
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{
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lastActivityPrintTime = 0;
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metrics.clear();
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}
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cv::theRNG().state = param_seed; //this rng should generate same numbers for each run
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cv::theRNG().state = param_seed; //this rng should generate same numbers for each run
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++currentIter;
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bool has_next = false;
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do {
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assert(currentIter == times.size());
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if (currentIter == 0)
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{
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has_next = true;
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break;
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}
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if (param_strategy == PERF_STRATEGY_BASE)
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{
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has_next = currentIter < nIters && totalTime < timeLimit;
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}
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else
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{
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assert(param_strategy == PERF_STRATEGY_SIMPLE);
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if (totalTime - lastActivityPrintTime >= cv::getTickFrequency() * 10)
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{
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std::cout << '.' << std::endl;
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lastActivityPrintTime = totalTime;
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}
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if (currentIter >= nIters)
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{
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has_next = false;
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break;
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}
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if (currentIter < param_min_samples)
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{
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has_next = true;
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break;
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}
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calcMetrics();
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double criteria = 0.03; // 3%
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if (fabs(metrics.mean) > 1e-6)
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has_next = metrics.stddev > criteria * fabs(metrics.mean);
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else
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has_next = true;
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}
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} while (false);
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#ifdef ANDROID
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#ifdef ANDROID
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if (log_power_checkpoints)
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if (log_power_checkpoints)
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@ -869,6 +969,9 @@ bool TestBase::next()
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if (!has_next) RecordProperty("test_complete", cv::format("%llu",t1).c_str());
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if (!has_next) RecordProperty("test_complete", cv::format("%llu",t1).c_str());
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}
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}
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#endif
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#endif
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if (has_next)
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startTimer(); // really we should measure activity from this moment, so reset start time
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return has_next;
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return has_next;
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}
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}
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@ -915,7 +1018,7 @@ void TestBase::stopTimer()
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{
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{
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int64 time = cv::getTickCount();
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int64 time = cv::getTickCount();
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if (lastTime == 0)
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if (lastTime == 0)
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ADD_FAILURE() << " stopTimer() is called before startTimer()";
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ADD_FAILURE() << " stopTimer() is called before startTimer()/next()";
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lastTime = time - lastTime;
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lastTime = time - lastTime;
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totalTime += lastTime;
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totalTime += lastTime;
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lastTime -= _timeadjustment;
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lastTime -= _timeadjustment;
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@ -926,6 +1029,7 @@ void TestBase::stopTimer()
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performance_metrics& TestBase::calcMetrics()
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performance_metrics& TestBase::calcMetrics()
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{
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{
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CV_Assert(metrics.samples <= (unsigned int)currentIter);
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if ((metrics.samples == (unsigned int)currentIter) || times.size() == 0)
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if ((metrics.samples == (unsigned int)currentIter) || times.size() == 0)
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return metrics;
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return metrics;
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@ -947,47 +1051,61 @@ performance_metrics& TestBase::calcMetrics()
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std::sort(times.begin(), times.end());
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std::sort(times.begin(), times.end());
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//estimate mean and stddev for log(time)
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double gmean = 0;
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double gstddev = 0;
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int n = 0;
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for(TimeVector::const_iterator i = times.begin(); i != times.end(); ++i)
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{
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double x = static_cast<double>(*i)/runsPerIteration;
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if (x < DBL_EPSILON) continue;
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double lx = log(x);
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++n;
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double delta = lx - gmean;
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gmean += delta / n;
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gstddev += delta * (lx - gmean);
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}
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gstddev = n > 1 ? sqrt(gstddev / (n - 1)) : 0;
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TimeVector::const_iterator start = times.begin();
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TimeVector::const_iterator start = times.begin();
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TimeVector::const_iterator end = times.end();
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TimeVector::const_iterator end = times.end();
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//filter outliers assuming log-normal distribution
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if (param_strategy == PERF_STRATEGY_BASE)
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//http://stackoverflow.com/questions/1867426/modeling-distribution-of-performance-measurements
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int offset = 0;
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if (gstddev > DBL_EPSILON)
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{
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{
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double minout = exp(gmean - 3 * gstddev) * runsPerIteration;
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//estimate mean and stddev for log(time)
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double maxout = exp(gmean + 3 * gstddev) * runsPerIteration;
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double gmean = 0;
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while(*start < minout) ++start, ++metrics.outliers, ++offset;
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double gstddev = 0;
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do --end, ++metrics.outliers; while(*end > maxout);
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int n = 0;
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++end, --metrics.outliers;
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for(TimeVector::const_iterator i = times.begin(); i != times.end(); ++i)
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{
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double x = static_cast<double>(*i)/runsPerIteration;
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if (x < DBL_EPSILON) continue;
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double lx = log(x);
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++n;
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double delta = lx - gmean;
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gmean += delta / n;
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gstddev += delta * (lx - gmean);
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}
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gstddev = n > 1 ? sqrt(gstddev / (n - 1)) : 0;
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//filter outliers assuming log-normal distribution
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//http://stackoverflow.com/questions/1867426/modeling-distribution-of-performance-measurements
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if (gstddev > DBL_EPSILON)
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{
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double minout = exp(gmean - 3 * gstddev) * runsPerIteration;
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double maxout = exp(gmean + 3 * gstddev) * runsPerIteration;
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while(*start < minout) ++start, ++metrics.outliers;
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do --end, ++metrics.outliers; while(*end > maxout);
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++end, --metrics.outliers;
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}
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}
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}
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else if (param_strategy == PERF_STRATEGY_SIMPLE)
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{
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metrics.outliers = static_cast<int>(times.size() * param_max_outliers / 100);
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for (unsigned int i = 0; i < metrics.outliers; i++)
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--end;
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}
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else
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{
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assert(false);
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}
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int offset = static_cast<int>(start - times.begin());
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metrics.min = static_cast<double>(*start)/runsPerIteration;
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metrics.min = static_cast<double>(*start)/runsPerIteration;
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//calc final metrics
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//calc final metrics
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n = 0;
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unsigned int n = 0;
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gmean = 0;
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double gmean = 0;
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gstddev = 0;
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double gstddev = 0;
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double mean = 0;
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double mean = 0;
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double stddev = 0;
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double stddev = 0;
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int m = 0;
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unsigned int m = 0;
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for(; start != end; ++start)
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for(; start != end; ++start)
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{
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{
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double x = static_cast<double>(*start)/runsPerIteration;
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double x = static_cast<double>(*start)/runsPerIteration;
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@ -1009,11 +1127,10 @@ performance_metrics& TestBase::calcMetrics()
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metrics.gmean = exp(gmean);
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metrics.gmean = exp(gmean);
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metrics.gstddev = m > 1 ? sqrt(gstddev / (m - 1)) : 0;
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metrics.gstddev = m > 1 ? sqrt(gstddev / (m - 1)) : 0;
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metrics.stddev = n > 1 ? sqrt(stddev / (n - 1)) : 0;
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metrics.stddev = n > 1 ? sqrt(stddev / (n - 1)) : 0;
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metrics.median = n % 2
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metrics.median = (n % 2
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? (double)times[offset + n / 2]
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? (double)times[offset + n / 2]
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: 0.5 * (times[offset + n / 2] + times[offset + n / 2 - 1]);
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: 0.5 * (times[offset + n / 2] + times[offset + n / 2 - 1])
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) / runsPerIteration;
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metrics.median /= runsPerIteration;
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return metrics;
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return metrics;
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}
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}
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@ -1027,17 +1144,31 @@ void TestBase::validateMetrics()
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ASSERT_GE(m.samples, 1u)
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ASSERT_GE(m.samples, 1u)
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<< " No time measurements was performed.\nstartTimer() and stopTimer() commands are required for performance tests.";
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<< " No time measurements was performed.\nstartTimer() and stopTimer() commands are required for performance tests.";
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EXPECT_GE(m.samples, param_min_samples)
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if (param_strategy == PERF_STRATEGY_BASE)
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<< " Only a few samples are collected.\nPlease increase number of iterations or/and time limit to get reliable performance measurements.";
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if (m.gstddev > DBL_EPSILON)
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{
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{
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EXPECT_GT(/*m.gmean * */1., /*m.gmean * */ 2 * sinh(m.gstddev * param_max_deviation))
|
EXPECT_GE(m.samples, param_min_samples)
|
||||||
<< " Test results are not reliable ((mean-sigma,mean+sigma) deviation interval is greater than measured time interval).";
|
<< " Only a few samples are collected.\nPlease increase number of iterations or/and time limit to get reliable performance measurements.";
|
||||||
}
|
|
||||||
|
|
||||||
EXPECT_LE(m.outliers, std::max((unsigned int)cvCeil(m.samples * param_max_outliers / 100.), 1u))
|
if (m.gstddev > DBL_EPSILON)
|
||||||
<< " Test results are not reliable (too many outliers).";
|
{
|
||||||
|
EXPECT_GT(/*m.gmean * */1., /*m.gmean * */ 2 * sinh(m.gstddev * param_max_deviation))
|
||||||
|
<< " Test results are not reliable ((mean-sigma,mean+sigma) deviation interval is greater than measured time interval).";
|
||||||
|
}
|
||||||
|
|
||||||
|
EXPECT_LE(m.outliers, std::max((unsigned int)cvCeil(m.samples * param_max_outliers / 100.), 1u))
|
||||||
|
<< " Test results are not reliable (too many outliers).";
|
||||||
|
}
|
||||||
|
else if (param_strategy == PERF_STRATEGY_SIMPLE)
|
||||||
|
{
|
||||||
|
double mean = metrics.mean * 1000.0f / metrics.frequency;
|
||||||
|
double stddev = metrics.stddev * 1000.0f / metrics.frequency;
|
||||||
|
double percents = stddev / mean * 100.f;
|
||||||
|
printf(" samples = %d, mean = %.2f, stddev = %.2f (%.1f%%)\n", (int)metrics.samples, mean, stddev, percents);
|
||||||
|
}
|
||||||
|
else
|
||||||
|
{
|
||||||
|
assert(false);
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
void TestBase::reportMetrics(bool toJUnitXML)
|
void TestBase::reportMetrics(bool toJUnitXML)
|
||||||
@ -1200,12 +1331,12 @@ void TestBase::RunPerfTestBody()
|
|||||||
{
|
{
|
||||||
this->PerfTestBody();
|
this->PerfTestBody();
|
||||||
}
|
}
|
||||||
catch(PerfEarlyExitException)
|
catch(PerfEarlyExitException&)
|
||||||
{
|
{
|
||||||
metrics.terminationReason = performance_metrics::TERM_INTERRUPT;
|
metrics.terminationReason = performance_metrics::TERM_INTERRUPT;
|
||||||
return;//no additional failure logging
|
return;//no additional failure logging
|
||||||
}
|
}
|
||||||
catch(cv::Exception e)
|
catch(cv::Exception& e)
|
||||||
{
|
{
|
||||||
metrics.terminationReason = performance_metrics::TERM_EXCEPTION;
|
metrics.terminationReason = performance_metrics::TERM_EXCEPTION;
|
||||||
#ifdef HAVE_CUDA
|
#ifdef HAVE_CUDA
|
||||||
@ -1214,7 +1345,7 @@ void TestBase::RunPerfTestBody()
|
|||||||
#endif
|
#endif
|
||||||
FAIL() << "Expected: PerfTestBody() doesn't throw an exception.\n Actual: it throws cv::Exception:\n " << e.what();
|
FAIL() << "Expected: PerfTestBody() doesn't throw an exception.\n Actual: it throws cv::Exception:\n " << e.what();
|
||||||
}
|
}
|
||||||
catch(std::exception e)
|
catch(std::exception& e)
|
||||||
{
|
{
|
||||||
metrics.terminationReason = performance_metrics::TERM_EXCEPTION;
|
metrics.terminationReason = performance_metrics::TERM_EXCEPTION;
|
||||||
FAIL() << "Expected: PerfTestBody() doesn't throw an exception.\n Actual: it throws std::exception:\n " << e.what();
|
FAIL() << "Expected: PerfTestBody() doesn't throw an exception.\n Actual: it throws std::exception:\n " << e.what();
|
||||||
@ -1235,6 +1366,7 @@ TestBase::_declareHelper& TestBase::_declareHelper::iterations(unsigned int n)
|
|||||||
test->times.reserve(n);
|
test->times.reserve(n);
|
||||||
test->nIters = std::min(n, TestBase::iterationsLimitDefault);
|
test->nIters = std::min(n, TestBase::iterationsLimitDefault);
|
||||||
test->currentIter = (unsigned int)-1;
|
test->currentIter = (unsigned int)-1;
|
||||||
|
test->metrics.clear();
|
||||||
return *this;
|
return *this;
|
||||||
}
|
}
|
||||||
|
|
||||||
@ -1243,6 +1375,7 @@ TestBase::_declareHelper& TestBase::_declareHelper::time(double timeLimitSecs)
|
|||||||
test->times.clear();
|
test->times.clear();
|
||||||
test->currentIter = (unsigned int)-1;
|
test->currentIter = (unsigned int)-1;
|
||||||
test->timeLimit = (int64)(timeLimitSecs * cv::getTickFrequency());
|
test->timeLimit = (int64)(timeLimitSecs * cv::getTickFrequency());
|
||||||
|
test->metrics.clear();
|
||||||
return *this;
|
return *this;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
Loading…
x
Reference in New Issue
Block a user