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174 lines
5.6 KiB
174 lines
5.6 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/platform/profiler.h"
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namespace paddle {
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namespace platform {
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// The profiler state, the initial value is ProfilerState::kDisabled
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static ProfilerState g_state = ProfilerState::kDisabled;
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// The thread local event list only can be accessed by the specific thread
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// The thread index of each thread
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static thread_local int32_t g_thread_id;
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// The g_next_thread_id is a global counter for threads, by the g_thread_id and
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// g_next_thread_id, we can know how many threads have created EventList.
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static uint32_t g_next_thread_id = 0;
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// The global mutex
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static std::mutex g_all_event_lists_mutex;
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// The total event lists of all threads
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static std::list<std::shared_ptr<EventList>> g_all_event_lists;
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// The thread local event list only can be accessed by the specific thread
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static thread_local std::shared_ptr<EventList> g_event_list;
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inline uint64_t GetTimeInNsec() {
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using clock = std::conditional<std::chrono::high_resolution_clock::is_steady,
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std::chrono::high_resolution_clock,
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std::chrono::steady_clock>::type;
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return std::chrono::duration_cast<std::chrono::nanoseconds>(
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clock::now().time_since_epoch())
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.count();
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}
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Event::Event(EventKind kind, std::string name, uint32_t thread_id,
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DeviceContext* dev_ctx)
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: kind_(kind),
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name_(std::move(name)),
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thread_id_(thread_id),
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has_cuda_(false) {
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#ifdef PADDLE_WITH_CUDA
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auto* cuda_dev_ctx = static_cast<const CUDADeviceContext*>(dev_ctx);
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if (cuda_dev_ctx) {
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PADDLE_ENFORCE(cudaGetDevice(&device_));
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PADDLE_ENFORCE(cudaEventCreate(&event_));
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auto stream = cuda_dev_ctx->stream();
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PADDLE_ENFORCE(cudaEventRecord(event_, stream));
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has_cuda_ = true;
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}
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#endif
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cpu_ns_ = GetTimeInNsec();
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}
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std::string Event::kind() const {
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switch (kind_) {
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case EventKind::kMark:
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return "mark";
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case EventKind::kPushRange:
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return "push";
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case EventKind::kPopRange:
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return "pop";
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}
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PADDLE_THROW("Unknown EventKind.");
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}
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double Event::CpuElapsedUs(const Event& e) const {
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return (e.cpu_ns_ - cpu_ns_) / (1000.0);
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}
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double Event::CudaElapsedUs(const Event& e) const {
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#ifdef PADDLE_WITH_CUDA
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PADDLE_ENFORCE(e.has_cuda() && has_cuda());
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PADDLE_ENFORCE(e.device() == device());
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PADDLE_ENFORCE(cudaEventSynchronize(event_));
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PADDLE_ENFORCE(cudaEventSynchronize(e.event()));
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float ms;
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PADDLE_ENFORCE(cudaEventElapsedTime(&ms, event_, e.event()));
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return ms * 1000.0;
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#else
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PADDLE_THROW("CUDA is not enabled");
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#endif
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}
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#ifdef PADDLE_WITH_CUDA
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static void ForEachDevice(std::function<void(int)> func) {
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auto original_device = GetCurrentDeviceId();
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int count = GetCUDADeviceCount();
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for (int i = 0; i < count; i++) {
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SetDeviceId(i);
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func(i);
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}
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SetDeviceId(original_device);
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}
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#endif
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inline EventList& GetEventList() {
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if (!g_event_list) {
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std::lock_guard<std::mutex> guard(g_all_event_lists_mutex);
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g_event_list = std::make_shared<EventList>();
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g_thread_id = g_next_thread_id++;
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g_all_event_lists.emplace_front(g_event_list);
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}
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return *g_event_list;
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}
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void Mark(const std::string& name, DeviceContext* dev_ctx) {
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GetEventList().Record(EventKind::kMark, std::move(name), g_thread_id,
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dev_ctx);
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}
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RecordEvent::RecordEvent(const std::string& name, DeviceContext* dev_ctx) {
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if (g_state == ProfilerState::kDisabled) return;
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dev_ctx_ = dev_ctx;
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GetEventList().Record(EventKind::kPushRange, std::move(name), g_thread_id,
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dev_ctx_);
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}
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RecordEvent::~RecordEvent() {
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if (g_state == ProfilerState::kDisabled) return;
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GetEventList().Record(EventKind::kPopRange, std::string(), g_thread_id,
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dev_ctx_);
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}
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void EnableProfiler(ProfilerState state) {
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PADDLE_ENFORCE(state != ProfilerState::kDisabled,
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"Can't enbale profling, since the input state is ",
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"ProfilerState::kDisabled");
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PADDLE_ENFORCE(g_state == ProfilerState::kDisabled,
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"The profiling state should be disabled when calling ",
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"EnableProfiler.");
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g_state = state;
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#ifdef PADDLE_WITH_CUDA
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if (g_state == ProfilerState::kCUDA) {
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// Generate some dummy evenets first to reduce the startup overhead.
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for (int i = 0; i < 5; i++) {
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ForEachDevice([](int d) {
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DeviceContext* dev_ctx = new CUDADeviceContext(CUDAPlace(d));
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Mark("_cuda_startup_", dev_ctx);
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dev_ctx->Wait();
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});
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}
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}
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#endif
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// Mark the profiling start.
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Mark("_start_profiler_", nullptr);
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}
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std::vector<std::vector<Event>> DisableProfiler() {
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PADDLE_ENFORCE(g_state != ProfilerState::kDisabled,
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"Can't disable profiling, since it's not starting.");
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// Mark the profiling stop.
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Mark("_stop_profiler_", nullptr);
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g_state = ProfilerState::kDisabled;
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std::vector<std::vector<Event>> result;
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std::lock_guard<std::mutex> guard(g_all_event_lists_mutex);
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for (auto it = g_all_event_lists.begin(); it != g_all_event_lists.end();
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++it) {
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result.emplace_back((*it)->Reduce());
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}
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return result;
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}
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} // namespace platform
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} // namespace paddle
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