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Paddle/paddle/platform/profiler.cc

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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/platform/profiler.h"
#include <iomanip>
#include <map>
#include "glog/logging.h"
namespace paddle {
namespace platform {
// The profiler state, the initial value is ProfilerState::kDisabled
static ProfilerState g_state = ProfilerState::kDisabled;
// To record which timer the profiler used, CUDA or CPU.
static std::string g_profiler_place = "";
// The thread local event list only can be accessed by the specific thread
// The thread index of each thread
static thread_local int32_t g_thread_id;
// The g_next_thread_id is a global counter for threads, by the g_thread_id and
// g_next_thread_id, we can know how many threads have created EventList.
static uint32_t g_next_thread_id = 0;
// The global mutex
static std::mutex g_all_event_lists_mutex;
// The total event lists of all threads
static std::list<std::shared_ptr<EventList>> g_all_event_lists;
// The thread local event list only can be accessed by the specific thread
static thread_local std::shared_ptr<EventList> g_event_list;
inline uint64_t GetTimeInNsec() {
using clock = std::conditional<std::chrono::high_resolution_clock::is_steady,
std::chrono::high_resolution_clock,
std::chrono::steady_clock>::type;
return std::chrono::duration_cast<std::chrono::nanoseconds>(
clock::now().time_since_epoch())
.count();
}
Event::Event(EventKind kind, std::string name, uint32_t thread_id,
const DeviceContext* dev_ctx)
: kind_(kind), name_(name), thread_id_(thread_id), has_cuda_(false) {
#ifdef PADDLE_WITH_CUDA
has_cuda_ = dev_ctx ? platform::is_gpu_place(dev_ctx->GetPlace()) : false;
if (has_cuda_) {
auto* cuda_dev_ctx = static_cast<const CUDADeviceContext*>(dev_ctx);
PADDLE_ENFORCE(cudaGetDevice(&device_));
PADDLE_ENFORCE(cudaEventCreate(&event_));
auto stream = cuda_dev_ctx->stream();
PADDLE_ENFORCE(cudaEventRecord(event_, stream));
}
#endif
cpu_ns_ = GetTimeInNsec();
}
std::string Event::kind() const {
switch (kind_) {
case EventKind::kMark:
return "mark";
case EventKind::kPushRange:
return "push";
case EventKind::kPopRange:
return "pop";
}
PADDLE_THROW("Unknown EventKind.");
}
double Event::CpuElapsedMs(const Event& e) const {
return (e.cpu_ns_ - cpu_ns_) / (1000000.0);
}
double Event::CudaElapsedMs(const Event& e) const {
#ifdef PADDLE_WITH_CUDA
PADDLE_ENFORCE(e.has_cuda() && has_cuda());
PADDLE_ENFORCE(e.device() == device());
PADDLE_ENFORCE(cudaEventSynchronize(event_));
PADDLE_ENFORCE(cudaEventSynchronize(e.event()));
float ms;
PADDLE_ENFORCE(cudaEventElapsedTime(&ms, event_, e.event()));
return ms;
#else
PADDLE_THROW("CUDA is not enabled");
#endif
}
#ifdef PADDLE_WITH_CUDA
static void ForEachDevice(std::function<void(int)> func) {
auto original_device = GetCurrentDeviceId();
int count = GetCUDADeviceCount();
for (int i = 0; i < count; i++) {
SetDeviceId(i);
func(i);
}
SetDeviceId(original_device);
}
#endif
inline EventList& GetEventList() {
if (!g_event_list) {
std::lock_guard<std::mutex> guard(g_all_event_lists_mutex);
g_event_list = std::make_shared<EventList>();
g_thread_id = g_next_thread_id++;
g_all_event_lists.emplace_front(g_event_list);
}
return *g_event_list;
}
void Mark(const std::string& name, const DeviceContext* dev_ctx) {
GetEventList().Record(EventKind::kMark, name, g_thread_id, dev_ctx);
}
void PushEvent(const std::string& name, const DeviceContext* dev_ctx) {
GetEventList().Record(EventKind::kPushRange, name, g_thread_id, dev_ctx);
}
void PopEvent(const std::string& name, const DeviceContext* dev_ctx) {
GetEventList().Record(EventKind::kPopRange, name, g_thread_id, dev_ctx);
}
RecordEvent::RecordEvent(const std::string& name,
const DeviceContext* dev_ctx) {
if (g_state == ProfilerState::kDisabled) return;
dev_ctx_ = dev_ctx;
name_ = name;
PushEvent(name_, dev_ctx_);
}
RecordEvent::~RecordEvent() {
if (g_state == ProfilerState::kDisabled) return;
PopEvent(name_, dev_ctx_);
}
void EnableProfiler(ProfilerState state) {
PADDLE_ENFORCE(state != ProfilerState::kDisabled,
"Can't enbale profling, since the input state is ",
"ProfilerState::kDisabled");
PADDLE_ENFORCE(g_state == ProfilerState::kDisabled,
"The profiling state should be disabled when calling ",
"EnableProfiler.");
g_state = state;
g_profiler_place = (g_state == ProfilerState::kCUDA) ? "CUDA" : "CPU";
#ifdef PADDLE_WITH_CUDA
if (g_state == ProfilerState::kCUDA) {
// Generate some dummy evenets first to reduce the startup overhead.
for (int i = 0; i < 5; i++) {
ForEachDevice([](int d) {
DeviceContext* dev_ctx = new CUDADeviceContext(CUDAPlace(d));
Mark("_cuda_startup_", dev_ctx);
dev_ctx->Wait();
delete dev_ctx;
});
}
}
#endif
// Mark the profiling start.
Mark("_start_profiler_", nullptr);
}
void ResetProfiler() {
std::lock_guard<std::mutex> guard(g_all_event_lists_mutex);
for (auto it = g_all_event_lists.begin(); it != g_all_event_lists.end();
++it) {
(*it)->Clear();
}
}
std::vector<std::vector<Event>> GetAllEvents() {
std::lock_guard<std::mutex> guard(g_all_event_lists_mutex);
std::vector<std::vector<Event>> result;
for (auto it = g_all_event_lists.begin(); it != g_all_event_lists.end();
++it) {
result.emplace_back((*it)->Reduce());
}
return result;
}
void DisableProfiler(EventSortingKey sorted_key) {
PADDLE_ENFORCE(g_state != ProfilerState::kDisabled,
"Can't disable profiling, since it's not starting.");
// Mark the profiling stop.
Mark("_stop_profiler_", nullptr);
g_state = ProfilerState::kDisabled;
std::vector<std::vector<Event>> all_events = GetAllEvents();
ParseEvents(all_events, sorted_key);
ResetProfiler();
}
void ParseEvents(std::vector<std::vector<Event>>& events,
EventSortingKey sorted_by) {
if (g_profiler_place == "") return;
std::string sorted_domain;
std::function<bool(const EventItem&, const EventItem&)> sorted_func;
switch (sorted_by) {
case EventSortingKey::kCalls:
sorted_domain = "number of calls";
sorted_func = [](const EventItem& a, const EventItem& b) {
return a.calls > b.calls;
};
break;
case EventSortingKey::kTotal:
sorted_domain = "total time";
sorted_func = [](const EventItem& a, const EventItem& b) {
return a.total_time > b.total_time;
};
break;
case EventSortingKey::kMin:
sorted_domain = "minimum time";
sorted_func = [](const EventItem& a, const EventItem& b) {
return a.min_time > b.min_time;
};
break;
case EventSortingKey::kMax:
sorted_domain = "maximum time";
sorted_func = [](const EventItem& a, const EventItem& b) {
return a.max_time > b.max_time;
};
break;
case EventSortingKey::kAve:
sorted_domain = "average time";
sorted_func = [](const EventItem& a, const EventItem& b) {
return a.ave_time > b.ave_time;
};
break;
default:
sorted_domain = "event end time";
}
std::vector<std::vector<EventItem>> events_table;
size_t max_name_width = 0;
for (size_t i = 0; i < events.size(); i++) {
std::list<Event> pushed_events;
std::vector<EventItem> event_items;
std::unordered_map<std::string, int> event_idx;
for (size_t j = 0; j < events[i].size(); j++) {
if (events[i][j].kind() == "push") {
pushed_events.push_back(events[i][j]);
} else if (events[i][j].kind() == "pop") {
std::list<Event>::reverse_iterator rit = pushed_events.rbegin();
while (rit != pushed_events.rend() &&
rit->name() != events[i][j].name()) {
++rit;
}
if (rit != pushed_events.rend()) {
double event_time = (g_profiler_place == "CUDA")
? rit->CudaElapsedMs(events[i][j])
: rit->CpuElapsedMs(events[i][j]);
std::string event_name =
"thread" + std::to_string(rit->thread_id()) + "::" + rit->name();
max_name_width = std::max(max_name_width, event_name.size());
if (event_idx.find(event_name) == event_idx.end()) {
event_idx[event_name] = event_items.size();
EventItem event_item = {event_name, 1, event_time,
event_time, event_time, event_time};
event_items.push_back(event_item);
} else {
int index = event_idx[event_name];
event_items[index].calls += 1;
// total time
event_items[index].total_time += event_time;
// min time
event_items[index].min_time =
std::min(event_time, event_items[index].min_time);
// max time
event_items[index].max_time =
std::max(event_time, event_items[index].max_time);
}
// remove the push marker from the list
pushed_events.erase((++rit).base());
} else {
LOG(WARNING) << "Cannot find the push marker of event \'"
<< events[i][j].name()
<< "\', which will be ignored in profiling report.";
}
}
}
// average time
for (auto& item : event_items) {
item.ave_time = item.total_time / item.calls;
}
// sort
if (sorted_by != EventSortingKey::kDefault) {
std::sort(event_items.begin(), event_items.end(), sorted_func);
}
events_table.push_back(event_items);
// log warning if there are events with `push` but without `pop`
std::list<Event>::reverse_iterator rit = pushed_events.rbegin();
while (rit != pushed_events.rend()) {
LOG(WARNING) << "Cannot find the pop marker of event \'" << rit->name()
<< "\', which will be ignored in profiling report.";
++rit;
}
}
// Print report
PrintProfiler(events_table, sorted_domain, max_name_width + 4, 12);
}
void PrintProfiler(std::vector<std::vector<EventItem>>& events_table,
std::string& sorted_domain, const size_t name_width,
const size_t data_width) {
// Output header information
std::cout << "\n------------------------->"
<< " Profiling Report "
<< "<-------------------------\n\n";
std::cout << "Place: " << g_profiler_place << std::endl;
std::cout << "Time unit: ms" << std::endl;
std::cout << "Sorted by " << sorted_domain
<< " in descending order in the same thread\n\n";
// Output events table
std::cout.setf(std::ios::left);
std::cout << std::setw(name_width) << "Event" << std::setw(data_width)
<< "Calls" << std::setw(data_width) << "Total"
<< std::setw(data_width) << "Min." << std::setw(data_width)
<< "Max." << std::setw(data_width) << "Ave." << std::endl;
for (size_t i = 0; i < events_table.size(); ++i) {
for (size_t j = 0; j < events_table[i].size(); ++j) {
EventItem& event_item = events_table[i][j];
std::cout << std::setw(name_width) << event_item.name
<< std::setw(data_width) << event_item.calls
<< std::setw(data_width) << event_item.total_time
<< std::setw(data_width) << event_item.min_time
<< std::setw(data_width) << event_item.max_time
<< std::setw(data_width) << event_item.ave_time << std::endl;
}
}
std::cout << std::endl;
}
} // namespace platform
} // namespace paddle