mirror of
https://codeberg.org/anoncontributorxmr/monero.git
synced 2024-11-22 15:32:24 +00:00
85db1734e7
There are quite a few variables in the code that are no longer (or perhaps never were) in use. These were discovered by enabling compiler warnings for unused variables and cleaning them up. In most cases where the unused variables were the result of a function call the call was left but the variable assignment removed, unless it was obvious that it was a simple getter with no side effects.
249 lines
9 KiB
C++
249 lines
9 KiB
C++
// Copyright (c) 2014-2020, 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) ">")
|