mirror of
https://git.wownero.com/wownero/wownero.git
synced 2024-08-15 01:03:23 +00:00
250 lines
9 KiB
C++
250 lines
9 KiB
C++
// Copyright (c) 2014-2022, The Monero Project
|
|
//
|
|
// All rights reserved.
|
|
//
|
|
// Redistribution and use in source and binary forms, with or without modification, are
|
|
// permitted provided that the following conditions are met:
|
|
//
|
|
// 1. Redistributions of source code must retain the above copyright notice, this list of
|
|
// conditions and the following disclaimer.
|
|
//
|
|
// 2. Redistributions 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.
|
|
//
|
|
// 3. Neither the name of the copyright holder nor the names of its contributors may 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 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 COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
|
|
// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
|
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
|
|
// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
|
|
// STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF
|
|
// THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
//
|
|
// Parts of this file are originally copyright (c) 2012-2013 The Cryptonote developers
|
|
|
|
#pragma once
|
|
|
|
#include <iostream>
|
|
#include <stdint.h>
|
|
|
|
#include <boost/chrono.hpp>
|
|
#include <boost/regex.hpp>
|
|
|
|
#include "misc_language.h"
|
|
#include "stats.h"
|
|
#include "common/perf_timer.h"
|
|
#include "common/timings.h"
|
|
|
|
class performance_timer
|
|
{
|
|
public:
|
|
typedef boost::chrono::high_resolution_clock clock;
|
|
|
|
performance_timer()
|
|
{
|
|
m_base = clock::now();
|
|
}
|
|
|
|
void start()
|
|
{
|
|
m_start = clock::now();
|
|
}
|
|
|
|
int elapsed_ms()
|
|
{
|
|
clock::duration elapsed = clock::now() - m_start;
|
|
return static_cast<int>(boost::chrono::duration_cast<boost::chrono::milliseconds>(elapsed).count());
|
|
}
|
|
|
|
private:
|
|
clock::time_point m_base;
|
|
clock::time_point m_start;
|
|
};
|
|
|
|
struct Params
|
|
{
|
|
TimingsDatabase td;
|
|
bool verbose;
|
|
bool stats;
|
|
unsigned loop_multiplier;
|
|
};
|
|
|
|
template <typename T>
|
|
class test_runner
|
|
{
|
|
public:
|
|
test_runner(const Params ¶ms)
|
|
: m_elapsed(0)
|
|
, m_params(params)
|
|
, m_per_call_timers(T::loop_count * params.loop_multiplier, {true})
|
|
{
|
|
}
|
|
|
|
bool run()
|
|
{
|
|
static_assert(0 < T::loop_count, "T::loop_count must be greater than 0");
|
|
|
|
T test;
|
|
if (!test.init())
|
|
return false;
|
|
|
|
performance_timer timer;
|
|
timer.start();
|
|
warm_up();
|
|
if (m_params.verbose)
|
|
std::cout << "Warm up: " << timer.elapsed_ms() << " ms" << std::endl;
|
|
|
|
timer.start();
|
|
for (size_t i = 0; i < T::loop_count * m_params.loop_multiplier; ++i)
|
|
{
|
|
if (m_params.stats)
|
|
m_per_call_timers[i].resume();
|
|
if (!test.test())
|
|
return false;
|
|
if (m_params.stats)
|
|
m_per_call_timers[i].pause();
|
|
}
|
|
m_elapsed = timer.elapsed_ms();
|
|
m_stats.reset(new Stats<tools::PerformanceTimer, uint64_t>(m_per_call_timers));
|
|
|
|
return true;
|
|
}
|
|
|
|
int elapsed_time() const { return m_elapsed; }
|
|
size_t get_size() const { return m_stats->get_size(); }
|
|
|
|
int time_per_call(int scale = 1) const
|
|
{
|
|
static_assert(0 < T::loop_count, "T::loop_count must be greater than 0");
|
|
return m_elapsed * scale / (T::loop_count * m_params.loop_multiplier);
|
|
}
|
|
|
|
uint64_t get_min() const { return m_stats->get_min(); }
|
|
uint64_t get_max() const { return m_stats->get_max(); }
|
|
double get_mean() const { return m_stats->get_mean(); }
|
|
uint64_t get_median() const { return m_stats->get_median(); }
|
|
double get_stddev() const { return m_stats->get_standard_deviation(); }
|
|
double get_non_parametric_skew() const { return m_stats->get_non_parametric_skew(); }
|
|
std::vector<uint64_t> get_quantiles(size_t n) const { return m_stats->get_quantiles(n); }
|
|
|
|
bool is_same_distribution(size_t npoints, double mean, double stddev) const
|
|
{
|
|
return m_stats->is_same_distribution_99(npoints, mean, stddev);
|
|
}
|
|
|
|
private:
|
|
/**
|
|
* Warm up processor core, enabling turbo boost, etc.
|
|
*/
|
|
uint64_t warm_up()
|
|
{
|
|
const size_t warm_up_rounds = 1000 * 1000 * 1000;
|
|
m_warm_up = 0;
|
|
for (size_t i = 0; i < warm_up_rounds; ++i)
|
|
{
|
|
++m_warm_up;
|
|
}
|
|
return m_warm_up;
|
|
}
|
|
|
|
private:
|
|
volatile uint64_t m_warm_up; ///<! This field is intended for preclude compiler optimizations
|
|
int m_elapsed;
|
|
Params m_params;
|
|
std::vector<tools::PerformanceTimer> m_per_call_timers;
|
|
std::unique_ptr<Stats<tools::PerformanceTimer, uint64_t>> m_stats;
|
|
};
|
|
|
|
template <typename T>
|
|
void run_test(const std::string &filter, Params ¶ms, const char* test_name)
|
|
{
|
|
boost::smatch match;
|
|
if (!filter.empty() && !boost::regex_match(std::string(test_name), match, boost::regex(filter)))
|
|
return;
|
|
|
|
test_runner<T> runner(params);
|
|
if (runner.run())
|
|
{
|
|
if (params.verbose)
|
|
{
|
|
std::cout << test_name << " - OK:\n";
|
|
std::cout << " loop count: " << T::loop_count * params.loop_multiplier << '\n';
|
|
std::cout << " elapsed: " << runner.elapsed_time() << " ms\n";
|
|
if (params.stats)
|
|
{
|
|
std::cout << " min: " << runner.get_min() << " ns\n";
|
|
std::cout << " max: " << runner.get_max() << " ns\n";
|
|
std::cout << " median: " << runner.get_median() << " ns\n";
|
|
std::cout << " std dev: " << runner.get_stddev() << " ns\n";
|
|
}
|
|
}
|
|
else
|
|
{
|
|
std::cout << test_name << " (" << T::loop_count * params.loop_multiplier << " calls) - OK:";
|
|
}
|
|
const char *unit = "ms";
|
|
double scale = 1000000;
|
|
uint64_t time_per_call = runner.time_per_call();
|
|
if (time_per_call < 100) {
|
|
scale = 1000;
|
|
time_per_call = runner.time_per_call(1000);
|
|
#ifdef _WIN32
|
|
unit = "us";
|
|
#else
|
|
unit = "µs";
|
|
#endif
|
|
}
|
|
const auto quantiles = runner.get_quantiles(10);
|
|
double min = runner.get_min();
|
|
double max = runner.get_max();
|
|
double med = runner.get_median();
|
|
double mean = runner.get_mean();
|
|
double stddev = runner.get_stddev();
|
|
double npskew = runner.get_non_parametric_skew();
|
|
|
|
std::vector<TimingsDatabase::instance> prev_instances = params.td.get(test_name);
|
|
params.td.add(test_name, {time(NULL), runner.get_size(), min, max, mean, med, stddev, npskew, quantiles});
|
|
|
|
std::cout << (params.verbose ? " time per call: " : " ") << time_per_call << " " << unit << "/call" << (params.verbose ? "\n" : "");
|
|
if (params.stats)
|
|
{
|
|
uint64_t mins = min / scale;
|
|
uint64_t meds = med / scale;
|
|
uint64_t p95s = quantiles[9] / scale;
|
|
uint64_t stddevs = stddev / scale;
|
|
std::string cmp;
|
|
if (!prev_instances.empty())
|
|
{
|
|
const TimingsDatabase::instance &prev_instance = prev_instances.back();
|
|
if (!runner.is_same_distribution(prev_instance.npoints, prev_instance.mean, prev_instance.stddev))
|
|
{
|
|
double pc = fabs(100. * (prev_instance.mean - runner.get_mean()) / prev_instance.mean);
|
|
cmp = ", " + std::to_string(pc) + "% " + (mean > prev_instance.mean ? "slower" : "faster");
|
|
}
|
|
cmp += " -- " + std::to_string(prev_instance.mean);
|
|
}
|
|
std::cout << " (min " << mins << " " << unit << ", 90th " << p95s << " " << unit << ", median " << meds << " " << unit << ", std dev " << stddevs << " " << unit << ")" << cmp;
|
|
}
|
|
std::cout << std::endl;
|
|
}
|
|
else
|
|
{
|
|
std::cout << test_name << " - FAILED" << std::endl;
|
|
}
|
|
}
|
|
|
|
#define QUOTEME(x) #x
|
|
#define TEST_PERFORMANCE0(filter, params, test_class) run_test< test_class >(filter, params, QUOTEME(test_class))
|
|
#define TEST_PERFORMANCE1(filter, params, test_class, a0) run_test< test_class<a0> >(filter, params, QUOTEME(test_class<a0>))
|
|
#define TEST_PERFORMANCE2(filter, params, test_class, a0, a1) run_test< test_class<a0, a1> >(filter, params, QUOTEME(test_class) "<" QUOTEME(a0) ", " QUOTEME(a1) ">")
|
|
#define TEST_PERFORMANCE3(filter, params, test_class, a0, a1, a2) run_test< test_class<a0, a1, a2> >(filter, params, QUOTEME(test_class) "<" QUOTEME(a0) ", " QUOTEME(a1) ", " QUOTEME(a2) ">")
|
|
#define TEST_PERFORMANCE4(filter, params, test_class, a0, a1, a2, a3) run_test< test_class<a0, a1, a2, a3> >(filter, params, QUOTEME(test_class) "<" QUOTEME(a0) ", " QUOTEME(a1) ", " QUOTEME(a2) ", " QUOTEME(a3) ">")
|
|
#define TEST_PERFORMANCE5(filter, params, test_class, a0, a1, a2, a3, a4) run_test< test_class<a0, a1, a2, a3, a4> >(filter, params, QUOTEME(test_class) "<" QUOTEME(a0) ", " QUOTEME(a1) ", " QUOTEME(a2) ", " QUOTEME(a3) ", " QUOTEME(a4) ">")
|
|
#define TEST_PERFORMANCE6(filter, params, test_class, a0, a1, a2, a3, a4, a5) run_test< test_class<a0, a1, a2, a3, a4, a5> >(filter, params, QUOTEME(test_class) "<" QUOTEME(a0) ", " QUOTEME(a1) ", " QUOTEME(a2) ", " QUOTEME(a3) ", " QUOTEME(a4) ", " QUOTEME(a5) ">")
|