b349efe6dd
The sketch test case writes avg+stddev for all its metrics: <key>fetch-frames</key> <dict> <key>description</key> <string>time to dump backtrace for every frame in every thread</string> <key>stddev</key> <real>0.006270938361432314</real> <key>value</key> <real>0.011568079851851851</real> </dict> llvm-svn: 179550
86 lines
1.6 KiB
C++
86 lines
1.6 KiB
C++
//===-- Metric.cpp ----------------------------------------------*- C++ -*-===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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#include "Metric.h"
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#include "MemoryGauge.h"
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#include <cmath>
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using namespace lldb_perf;
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template <class T>
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Metric<T>::Metric () : Metric ("")
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{
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}
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template <class T>
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Metric<T>::Metric (const char* n, const char* d) :
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m_name(n ? n : ""),
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m_description(d ? d : ""),
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m_dataset ()
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{
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}
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template <class T>
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void
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Metric<T>::Append (T v)
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{
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m_dataset.push_back(v);
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}
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template <class T>
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size_t
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Metric<T>::GetCount () const
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{
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return m_dataset.size();
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}
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template <class T>
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T
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Metric<T>::GetSum () const
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{
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T sum = 0;
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for (auto v : m_dataset)
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sum += v;
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return sum;
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}
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template <class T>
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T
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Metric<T>::GetAverage () const
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{
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return GetSum()/GetCount();
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}
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// Knuth's algorithm for stddev - massive cancellation resistant
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template <class T>
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T
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Metric<T>::GetStandardDeviation (StandardDeviationMode mode) const
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{
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size_t n = 0;
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T mean = 0;
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T M2 = 0;
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for (auto x : m_dataset)
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{
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n = n + 1;
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T delta = x - mean;
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mean = mean + delta/n;
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M2 = M2+delta*(x-mean);
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}
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T variance;
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if (mode == StandardDeviationMode::ePopulation || n == 1)
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variance = M2 / n;
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else
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variance = M2 / (n - 1);
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return sqrt(variance);
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}
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template class lldb_perf::Metric<double>;
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template class lldb_perf::Metric<MemoryStats>;
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