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131 lines
3.6 KiB
131 lines
3.6 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include <forward_list>
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#include <list>
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#include <string>
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#include <vector>
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#include "paddle/fluid/platform/device_context.h"
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namespace paddle {
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namespace platform {
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enum EventType { kMark, kPushRange, kPopRange };
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class Event {
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public:
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// The DeviceContext is used to get the cuda stream.
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// If CPU profiling mode, can pass nullptr.
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Event(EventType type, std::string name, uint32_t thread_id,
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const DeviceContext* dev_ctx);
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const EventType& type() const;
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std::string name() const { return name_; }
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uint32_t thread_id() const { return thread_id_; }
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bool has_cuda() const { return has_cuda_; }
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#ifdef PADDLE_WITH_CUDA
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cudaEvent_t event() const { return event_; }
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int device() const { return device_; }
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#endif
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double CpuElapsedMs(const Event& e) const;
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double CudaElapsedMs(const Event& e) const;
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private:
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EventType type_;
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std::string name_;
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uint32_t thread_id_;
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int64_t cpu_ns_;
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bool has_cuda_;
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#ifdef PADDLE_WITH_CUDA
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cudaEvent_t event_ = nullptr;
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int device_ = -1;
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#endif
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};
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enum ProfilerState {
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kDisabled, // disabled state
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kCPU, // CPU profiling state
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kCUDA, // GPU profiling state
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kAll, // Profile both CPU and GPU. (Currently experimental).
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};
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void Mark(const std::string& name, const DeviceContext* dev_ctx);
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void PushEvent(const std::string& name, const DeviceContext* dev_ctx);
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void PopEvent(const std::string& name, const DeviceContext* dev_ctx);
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struct RecordEvent {
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RecordEvent(const std::string& name, const DeviceContext* dev_ctx);
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~RecordEvent();
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bool is_enabled_;
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uint64_t start_ns_;
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// The device context is used by Event to get the current cuda stream.
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const DeviceContext* dev_ctx_;
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// Event name
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std::string name_;
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// Need to distinguish name by op type, block_id, program_id and perhaps
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// different kernel invocations within an op.
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std::string full_name_;
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};
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struct RecordBlock {
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explicit RecordBlock(int block_id);
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~RecordBlock();
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private:
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bool is_enabled_;
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std::string name_;
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uint64_t start_ns_;
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};
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struct RecordThread {
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explicit RecordThread(int thread_id);
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~RecordThread();
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};
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// Return the event list of all threads. Assumed the returned value calls
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// event_lists, event_lists[i][j] represents the j-th Event of i-th thread.
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std::vector<std::vector<Event>> GetAllEvents();
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// Candidate keys to sort the profiling report
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enum EventSortingKey { kDefault, kCalls, kTotal, kMin, kMax, kAve };
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// Enable the profiling function.
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void EnableProfiler(ProfilerState state);
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// Clear the g_all_event_lists, which is total event lists of all threads.
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void ResetProfiler();
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void DisableProfiler(EventSortingKey sorted_key,
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const std::string& profile_path);
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const int kEnableProfiler = 1;
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const int kDisableProfiler = 2;
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// Test if the profiler is currently enabled.
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bool IsProfileEnabled();
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// Whether the trainer should send profiling state to PS.
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bool ShouldSendProfileState();
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// Mark current process as PS by assigning a lister id.
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void SetProfileListener();
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int64_t ListenerId();
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} // namespace platform
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} // namespace paddle
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