dolphin/Source/Core/VideoCommon/PerformanceTracker.cpp
Martino Fontana a14c88ba67 Remove unused imports
Yellow squiggly lines begone!
Done automatically on .cpp files through `run-clang-tidy`, with manual corrections to the mistakes.
If an import is directly used, but is technically unnecessary since it's recursively imported by something else, it is *not* removed.
The tool doesn't touch .h files, so I did some of them by hand while fixing errors due to old recursive imports.
Not everything is removed, but the cleanup should be substantial enough.
Because this done on Linux, code that isn't used on it is mostly untouched.
(Hopefully no open PR is depending on these imports...)
2026-01-25 16:12:15 +01:00

199 lines
4.6 KiB
C++

// Copyright 2022 Dolphin Emulator Project
// SPDX-License-Identifier: GPL-2.0-or-later
#include "VideoCommon/PerformanceTracker.h"
#include <algorithm>
#include <cmath>
#include <iomanip>
#include <implot.h>
#include "Common/CommonTypes.h"
#include "Common/FileUtil.h"
#include "Common/MathUtil.h"
#include "VideoCommon/VideoConfig.h"
static constexpr double SAMPLE_RC_RATIO = 0.25;
static constexpr u64 MAX_DT_QUEUE_SIZE = 1UL << 12;
static constexpr u64 MAX_QUALITY_GRAPH_SIZE = 1UL << 8;
PerformanceTracker::PerformanceTracker(const std::optional<std::string> log_name,
const std::optional<DT> sample_window_duration)
: m_log_name{log_name}, m_sample_window_duration{sample_window_duration}
{
Reset();
}
void PerformanceTracker::Reset()
{
m_raw_dts.Clear();
m_dt_queue.clear();
m_dt_total = DT::zero();
m_last_raw_dt = DT::zero();
m_last_time = Clock::now();
m_hz_avg = 0.0;
m_dt_avg = DT::zero();
m_dt_std = DT::zero();
m_is_last_time_sane = false;
}
void PerformanceTracker::Count()
{
const TimePoint current_time{Clock::now()};
const DT diff{current_time - m_last_time};
m_last_time = current_time;
if (!m_is_last_time_sane)
{
m_is_last_time_sane = true;
return;
}
m_last_raw_dt = diff;
m_raw_dts.Push(diff);
}
void PerformanceTracker::UpdateStats()
{
DT diff{};
while (m_raw_dts.Pop(diff))
HandleRawDt(diff);
// Update Std Dev
MathUtil::RunningVariance<double> variance;
for (auto dt : m_dt_queue)
variance.Push(DT_s(dt).count());
m_dt_std = std::chrono::duration_cast<DT>(DT_s(variance.PopulationStandardDeviation()));
}
void PerformanceTracker::HandleRawDt(DT diff)
{
if (m_dt_queue.size() == MAX_DT_QUEUE_SIZE)
PopBack();
PushFront(diff);
const DT window{GetSampleWindow()};
while (m_dt_total - m_dt_queue.back() >= window)
PopBack();
// Simple Moving Average Throughout the Window
const DT dt_avg = m_dt_total / m_dt_queue.size();
const double hz = DT_s(1.0) / dt_avg;
m_dt_avg = dt_avg;
// Exponential Moving Average
const DT_s rc = SAMPLE_RC_RATIO * std::min(window, m_dt_total);
const double a = 1.0 - std::exp(-(DT_s(diff) / rc));
// Sometimes euler averages can break when the average is inf/nan
const auto hz_avg = m_hz_avg.load();
if (std::isfinite(hz_avg))
m_hz_avg = hz_avg + a * (hz - hz_avg);
else
m_hz_avg = hz;
LogRenderTimeToFile(diff);
}
DT PerformanceTracker::GetSampleWindow() const
{
return m_sample_window_duration.value_or(
duration_cast<DT>(DT_us{std::max(1, g_ActiveConfig.iPerfSampleUSec)}));
}
double PerformanceTracker::GetHzAvg() const
{
return m_hz_avg;
}
DT PerformanceTracker::GetDtAvg() const
{
return m_dt_avg;
}
DT PerformanceTracker::GetDtStd() const
{
return m_dt_std;
}
DT PerformanceTracker::GetLastRawDt() const
{
return m_last_raw_dt;
}
void PerformanceTracker::InvalidateLastTime()
{
m_is_last_time_sane = false;
}
void PerformanceTracker::ImPlotPlotLines(const char* label) const
{
// "quality" graph uses twice as many points.
static_assert(MAX_QUALITY_GRAPH_SIZE * 2 <= MAX_DT_QUEUE_SIZE);
static std::array<float, MAX_DT_QUEUE_SIZE + 1> x, y;
if (m_dt_queue.empty())
return;
// Decides if there are too many points to plot using rectangles
const bool quality = m_dt_queue.size() < MAX_QUALITY_GRAPH_SIZE;
std::size_t point_index = 0;
const auto add_point = [&](DT dt, DT shift_x, float prev_ms) {
const float ms = DT_ms{dt}.count();
if (quality)
{
x[point_index] = prev_ms;
y[point_index] = ms;
++point_index;
}
x[point_index] = prev_ms + DT_ms{shift_x}.count();
y[point_index] = ms;
++point_index;
};
// Rightmost point.
const auto update_time = Clock::now() - m_last_time;
const auto predicted_frame_time = std::max(update_time, m_dt_queue.front());
add_point(predicted_frame_time, DT{}, 0);
// Other points, right to left.
for (auto dt : m_dt_queue)
add_point(dt, dt, x[point_index - 1]);
ImPlot::PlotLine(label, x.data(), y.data(), static_cast<int>(point_index));
}
void PerformanceTracker::PushFront(DT value)
{
m_dt_queue.push_front(value);
m_dt_total += value;
}
void PerformanceTracker::PopBack()
{
m_dt_total -= m_dt_queue.back();
m_dt_queue.pop_back();
}
void PerformanceTracker::LogRenderTimeToFile(DT val)
{
if (!m_log_name || !g_ActiveConfig.bLogRenderTimeToFile)
return;
if (!m_bench_file.is_open())
{
File::OpenFStream(m_bench_file, File::GetUserPath(D_LOGS_IDX) + *m_log_name,
std::ios_base::out);
}
m_bench_file << std::fixed << std::setprecision(8) << DT_ms(val).count() << std::endl;
}