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https://github.com/PabloMK7/citra.git
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186 lines
5.8 KiB
C++
186 lines
5.8 KiB
C++
// Copyright 2015 Citra Emulator Project
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// Licensed under GPLv2 or any later version
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// Refer to the license.txt file included.
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#include <algorithm>
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#include <cstddef>
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#include <vector>
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#include "common/assert.h"
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#include "common/profiler.h"
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#include "common/profiler_reporting.h"
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#include "common/synchronized_wrapper.h"
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#if defined(_MSC_VER) && _MSC_VER <= 1800 // MSVC 2013.
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#define WIN32_LEAN_AND_MEAN
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#include <Windows.h> // For QueryPerformanceCounter/Frequency
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#endif
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namespace Common {
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namespace Profiling {
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#if ENABLE_PROFILING
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thread_local Timer* Timer::current_timer = nullptr;
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#endif
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#if defined(_MSC_VER) && _MSC_VER <= 1800 // MSVC 2013
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QPCClock::time_point QPCClock::now() {
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static LARGE_INTEGER freq;
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// Use this dummy local static to ensure this gets initialized once.
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static BOOL dummy = QueryPerformanceFrequency(&freq);
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LARGE_INTEGER ticks;
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QueryPerformanceCounter(&ticks);
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// This is prone to overflow when multiplying, which is why I'm using micro instead of nano. The
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// correct way to approach this would be to just return ticks as a time_point and then subtract
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// and do this conversion when creating a duration from two time_points, however, as far as I
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// could tell the C++ requirements for these types are incompatible with this approach.
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return time_point(duration(ticks.QuadPart * std::micro::den / freq.QuadPart));
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}
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#endif
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TimingCategory::TimingCategory(const char* name, TimingCategory* parent)
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: accumulated_duration(0) {
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ProfilingManager& manager = GetProfilingManager();
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category_id = manager.RegisterTimingCategory(this, name);
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if (parent != nullptr)
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manager.SetTimingCategoryParent(category_id, parent->category_id);
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}
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ProfilingManager::ProfilingManager()
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: last_frame_end(Clock::now()), this_frame_start(Clock::now()) {
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}
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unsigned int ProfilingManager::RegisterTimingCategory(TimingCategory* category, const char* name) {
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TimingCategoryInfo info;
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info.category = category;
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info.name = name;
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info.parent = TimingCategoryInfo::NO_PARENT;
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unsigned int id = (unsigned int)timing_categories.size();
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timing_categories.push_back(std::move(info));
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return id;
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}
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void ProfilingManager::SetTimingCategoryParent(unsigned int category, unsigned int parent) {
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ASSERT(category < timing_categories.size());
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ASSERT(parent < timing_categories.size());
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timing_categories[category].parent = parent;
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}
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void ProfilingManager::BeginFrame() {
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this_frame_start = Clock::now();
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}
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void ProfilingManager::FinishFrame() {
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Clock::time_point now = Clock::now();
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results.interframe_time = now - last_frame_end;
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results.frame_time = now - this_frame_start;
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results.time_per_category.resize(timing_categories.size());
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for (size_t i = 0; i < timing_categories.size(); ++i) {
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results.time_per_category[i] = timing_categories[i].category->GetAccumulatedTime();
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}
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last_frame_end = now;
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}
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TimingResultsAggregator::TimingResultsAggregator(size_t window_size)
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: max_window_size(window_size), window_size(0) {
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interframe_times.resize(window_size, Duration::zero());
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frame_times.resize(window_size, Duration::zero());
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}
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void TimingResultsAggregator::Clear() {
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window_size = cursor = 0;
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}
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void TimingResultsAggregator::SetNumberOfCategories(size_t n) {
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size_t old_size = times_per_category.size();
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if (n == old_size)
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return;
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times_per_category.resize(n);
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for (size_t i = old_size; i < n; ++i) {
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times_per_category[i].resize(max_window_size, Duration::zero());
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}
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}
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void TimingResultsAggregator::AddFrame(const ProfilingFrameResult& frame_result) {
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SetNumberOfCategories(frame_result.time_per_category.size());
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interframe_times[cursor] = frame_result.interframe_time;
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frame_times[cursor] = frame_result.frame_time;
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for (size_t i = 0; i < frame_result.time_per_category.size(); ++i) {
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times_per_category[i][cursor] = frame_result.time_per_category[i];
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}
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++cursor;
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if (cursor == max_window_size)
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cursor = 0;
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if (window_size < max_window_size)
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++window_size;
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}
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static AggregatedDuration AggregateField(const std::vector<Duration>& v, size_t len) {
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AggregatedDuration result;
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result.avg = Duration::zero();
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result.min = result.max = (len == 0 ? Duration::zero() : v[0]);
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for (size_t i = 0; i < len; ++i) {
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Duration value = v[i];
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result.avg += value;
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result.min = std::min(result.min, value);
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result.max = std::max(result.max, value);
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}
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if (len != 0)
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result.avg /= len;
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return result;
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}
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static float tof(Common::Profiling::Duration dur) {
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using FloatMs = std::chrono::duration<float, std::chrono::milliseconds::period>;
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return std::chrono::duration_cast<FloatMs>(dur).count();
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}
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AggregatedFrameResult TimingResultsAggregator::GetAggregatedResults() const {
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AggregatedFrameResult result;
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result.interframe_time = AggregateField(interframe_times, window_size);
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result.frame_time = AggregateField(frame_times, window_size);
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if (result.interframe_time.avg != Duration::zero()) {
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result.fps = 1000.0f / tof(result.interframe_time.avg);
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} else {
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result.fps = 0.0f;
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}
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result.time_per_category.resize(times_per_category.size());
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for (size_t i = 0; i < times_per_category.size(); ++i) {
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result.time_per_category[i] = AggregateField(times_per_category[i], window_size);
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}
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return result;
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}
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ProfilingManager& GetProfilingManager() {
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// Takes advantage of "magic" static initialization for race-free initialization.
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static ProfilingManager manager;
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return manager;
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}
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SynchronizedRef<TimingResultsAggregator> GetTimingResultsAggregator() {
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static SynchronizedWrapper<TimingResultsAggregator> aggregator(30);
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return SynchronizedRef<TimingResultsAggregator>(aggregator);
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}
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} // namespace Profiling
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} // namespace Common
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