mirror of
https://github.com/Xaymar/obs-StreamFX
synced 2024-11-30 23:33:02 +00:00
168 lines
4.7 KiB
C++
168 lines
4.7 KiB
C++
/*
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* Modern effects for a modern Streamer
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* Copyright (C) 2020 Michael Fabian Dirks
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA
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*/
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#include "util-profiler.hpp"
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#include <iterator>
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streamfx::util::profiler::profiler() {}
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streamfx::util::profiler::~profiler() {}
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std::shared_ptr<streamfx::util::profiler::instance> streamfx::util::profiler::track()
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{
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return std::make_shared<streamfx::util::profiler::instance>(shared_from_this());
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}
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void streamfx::util::profiler::track(std::chrono::nanoseconds duration)
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{
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std::unique_lock<std::mutex> ul(_timings_lock);
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auto itr = _timings.find(duration);
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if (itr == _timings.end()) {
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_timings.emplace(duration, 1u);
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} else {
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itr->second++;
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}
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}
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uint64_t streamfx::util::profiler::count()
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{
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uint64_t count = 0;
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std::map<std::chrono::nanoseconds, size_t> copy_timings;
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{
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std::unique_lock<std::mutex> ul(_timings_lock);
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copy(_timings.begin(), _timings.end(), std::inserter(copy_timings, copy_timings.end()));
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}
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for (auto kv : copy_timings) {
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count += kv.second;
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}
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return count;
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}
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std::chrono::nanoseconds streamfx::util::profiler::total_duration()
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{
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std::chrono::nanoseconds duration{0};
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std::map<std::chrono::nanoseconds, size_t> copy_timings;
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{
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std::unique_lock<std::mutex> ul(_timings_lock);
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copy(_timings.begin(), _timings.end(), std::inserter(copy_timings, copy_timings.end()));
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}
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for (auto kv : copy_timings) {
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duration += kv.first * kv.second;
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}
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return duration;
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}
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double_t streamfx::util::profiler::average_duration()
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{
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std::chrono::nanoseconds duration{0};
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uint64_t count = 0;
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std::map<std::chrono::nanoseconds, size_t> copy_timings;
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{
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std::unique_lock<std::mutex> ul(_timings_lock);
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copy(_timings.begin(), _timings.end(), std::inserter(copy_timings, copy_timings.end()));
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}
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for (auto kv : copy_timings) {
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duration += kv.first * kv.second;
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count += kv.second;
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}
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return double_t(duration.count()) / double_t(count);
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}
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template<typename T>
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inline bool is_equal(T a, T b, T c)
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{
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return (a == b) || ((a >= (b - c)) && (a <= (b + c)));
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}
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std::chrono::nanoseconds streamfx::util::profiler::percentile(double_t percentile, bool by_time)
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{
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constexpr double_t edge = 0.00005;
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uint64_t calls = count();
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std::map<std::chrono::nanoseconds, size_t> copy_timings;
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{
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std::unique_lock<std::mutex> ul(_timings_lock);
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copy(_timings.begin(), _timings.end(), inserter(copy_timings, copy_timings.end()));
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}
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if (by_time) { // Return by time percentile.
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// Find largest and smallest time.
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std::chrono::nanoseconds smallest = copy_timings.begin()->first;
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std::chrono::nanoseconds largest = copy_timings.rbegin()->first;
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std::chrono::nanoseconds variance = largest - smallest;
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for (auto kv : copy_timings) {
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double_t kv_pct = double_t((kv.first - smallest).count()) / double_t(variance.count());
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if (is_equal<double_t>(kv_pct, percentile, edge) || (kv_pct > percentile)) {
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return std::chrono::nanoseconds(kv.first);
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}
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}
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} else { // Return by call percentile.
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if (percentile == 0.0) {
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return copy_timings.begin()->first;
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}
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uint64_t accu_calls_now = 0;
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for (auto kv : copy_timings) {
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uint64_t accu_calls_last = accu_calls_now;
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accu_calls_now += kv.second;
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double_t percentile_last = double_t(accu_calls_last) / double_t(calls);
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double_t percentile_now = double_t(accu_calls_now) / double_t(calls);
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if (is_equal<double_t>(percentile, percentile_now, edge)
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|| ((percentile_last < percentile) && (percentile_now > percentile))) {
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return std::chrono::nanoseconds(kv.first);
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}
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}
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}
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return std::chrono::nanoseconds(-1);
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}
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streamfx::util::profiler::instance::instance(std::shared_ptr<streamfx::util::profiler> parent)
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: _parent(parent), _start(std::chrono::high_resolution_clock::now())
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{}
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streamfx::util::profiler::instance::~instance()
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{
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auto end = std::chrono::high_resolution_clock::now();
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auto dur = end - _start;
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if (_parent) {
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_parent->track(dur);
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}
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}
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void streamfx::util::profiler::instance::cancel()
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{
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_parent.reset();
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}
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void streamfx::util::profiler::instance::reparent(std::shared_ptr<streamfx::util::profiler> parent)
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{
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_parent = parent;
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}
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