1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
|
// Copyright 2015 Citra Emulator Project
// Licensed under GPLv2 or any later version
// Refer to the license.txt file included.
#include <algorithm>
#include <cstddef>
#include <vector>
#include "common/assert.h"
#include "common/profiler.h"
#include "common/profiler_reporting.h"
#include "common/synchronized_wrapper.h"
#if defined(_MSC_VER) && _MSC_VER <= 1800 // MSVC 2013.
#define WIN32_LEAN_AND_MEAN
#include <Windows.h> // For QueryPerformanceCounter/Frequency
#endif
namespace Common {
namespace Profiling {
#if ENABLE_PROFILING
thread_local Timer* Timer::current_timer = nullptr;
#endif
#if defined(_MSC_VER) && _MSC_VER <= 1800 // MSVC 2013
QPCClock::time_point QPCClock::now() {
static LARGE_INTEGER freq;
// Use this dummy local static to ensure this gets initialized once.
static BOOL dummy = QueryPerformanceFrequency(&freq);
LARGE_INTEGER ticks;
QueryPerformanceCounter(&ticks);
// This is prone to overflow when multiplying, which is why I'm using micro instead of nano. The
// correct way to approach this would be to just return ticks as a time_point and then subtract
// and do this conversion when creating a duration from two time_points, however, as far as I
// could tell the C++ requirements for these types are incompatible with this approach.
return time_point(duration(ticks.QuadPart * std::micro::den / freq.QuadPart));
}
#endif
TimingCategory::TimingCategory(const char* name, TimingCategory* parent)
: accumulated_duration(0) {
ProfilingManager& manager = GetProfilingManager();
category_id = manager.RegisterTimingCategory(this, name);
if (parent != nullptr)
manager.SetTimingCategoryParent(category_id, parent->category_id);
}
ProfilingManager::ProfilingManager()
: last_frame_end(Clock::now()), this_frame_start(Clock::now()) {
}
unsigned int ProfilingManager::RegisterTimingCategory(TimingCategory* category, const char* name) {
TimingCategoryInfo info;
info.category = category;
info.name = name;
info.parent = TimingCategoryInfo::NO_PARENT;
unsigned int id = (unsigned int)timing_categories.size();
timing_categories.push_back(std::move(info));
return id;
}
void ProfilingManager::SetTimingCategoryParent(unsigned int category, unsigned int parent) {
ASSERT(category < timing_categories.size());
ASSERT(parent < timing_categories.size());
timing_categories[category].parent = parent;
}
void ProfilingManager::BeginFrame() {
this_frame_start = Clock::now();
}
void ProfilingManager::FinishFrame() {
Clock::time_point now = Clock::now();
results.interframe_time = now - last_frame_end;
results.frame_time = now - this_frame_start;
results.time_per_category.resize(timing_categories.size());
for (size_t i = 0; i < timing_categories.size(); ++i) {
results.time_per_category[i] = timing_categories[i].category->GetAccumulatedTime();
}
last_frame_end = now;
}
TimingResultsAggregator::TimingResultsAggregator(size_t window_size)
: max_window_size(window_size), window_size(0) {
interframe_times.resize(window_size, Duration::zero());
frame_times.resize(window_size, Duration::zero());
}
void TimingResultsAggregator::Clear() {
window_size = cursor = 0;
}
void TimingResultsAggregator::SetNumberOfCategories(size_t n) {
size_t old_size = times_per_category.size();
if (n == old_size)
return;
times_per_category.resize(n);
for (size_t i = old_size; i < n; ++i) {
times_per_category[i].resize(max_window_size, Duration::zero());
}
}
void TimingResultsAggregator::AddFrame(const ProfilingFrameResult& frame_result) {
SetNumberOfCategories(frame_result.time_per_category.size());
interframe_times[cursor] = frame_result.interframe_time;
frame_times[cursor] = frame_result.frame_time;
for (size_t i = 0; i < frame_result.time_per_category.size(); ++i) {
times_per_category[i][cursor] = frame_result.time_per_category[i];
}
++cursor;
if (cursor == max_window_size)
cursor = 0;
if (window_size < max_window_size)
++window_size;
}
static AggregatedDuration AggregateField(const std::vector<Duration>& v, size_t len) {
AggregatedDuration result;
result.avg = Duration::zero();
result.min = result.max = (len == 0 ? Duration::zero() : v[0]);
for (size_t i = 0; i < len; ++i) {
Duration value = v[i];
result.avg += value;
result.min = std::min(result.min, value);
result.max = std::max(result.max, value);
}
if (len != 0)
result.avg /= len;
return result;
}
static float tof(Common::Profiling::Duration dur) {
using FloatMs = std::chrono::duration<float, std::chrono::milliseconds::period>;
return std::chrono::duration_cast<FloatMs>(dur).count();
}
AggregatedFrameResult TimingResultsAggregator::GetAggregatedResults() const {
AggregatedFrameResult result;
result.interframe_time = AggregateField(interframe_times, window_size);
result.frame_time = AggregateField(frame_times, window_size);
if (result.interframe_time.avg != Duration::zero()) {
result.fps = 1000.0f / tof(result.interframe_time.avg);
} else {
result.fps = 0.0f;
}
result.time_per_category.resize(times_per_category.size());
for (size_t i = 0; i < times_per_category.size(); ++i) {
result.time_per_category[i] = AggregateField(times_per_category[i], window_size);
}
return result;
}
ProfilingManager& GetProfilingManager() {
// Takes advantage of "magic" static initialization for race-free initialization.
static ProfilingManager manager;
return manager;
}
SynchronizedRef<TimingResultsAggregator> GetTimingResultsAggregator() {
static SynchronizedWrapper<TimingResultsAggregator> aggregator(30);
return SynchronizedRef<TimingResultsAggregator>(aggregator);
}
} // namespace Profiling
} // namespace Common
|
