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102 lines
2.6 KiB
102 lines
2.6 KiB
/* Copyright (c) 2019 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 <string>
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#ifdef PADDLE_WITH_CUDA
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#include <cuda_runtime.h>
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#endif
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#include "paddle/fluid/platform/place.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 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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#ifdef PADDLE_WITH_CUDA
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#ifndef PADDLE_WITH_CUPTI
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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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#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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#ifdef PADDLE_WITH_CUDA
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#ifdef PADDLE_WITH_CUPTI
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int64_t gpu_ns_ = 0;
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public:
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void AddCudaElapsedTime(int64_t start_ns, int64_t end_ns) {
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gpu_ns_ += end_ns - start_ns;
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}
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private:
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#else
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cudaEvent_t event_ = nullptr;
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int device_ = -1;
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#endif
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#endif
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};
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class MemEvent {
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public:
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MemEvent(EventType type, uint64_t start_ns, uint64_t end_ns, size_t bytes,
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Place place, int64_t thread_id, const std::string& annotation)
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: type_(type),
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start_ns_(start_ns),
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end_ns_(end_ns),
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bytes_(bytes),
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place_(place),
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thread_id_(thread_id),
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annotation_(annotation) {}
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const EventType& type() const { return type_; }
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uint64_t start_ns() const { return start_ns_; }
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uint64_t end_ns() const { return end_ns_; }
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size_t bytes() const { return bytes_; }
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Place place() const { return place_; }
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int64_t thread_id() const { return thread_id_; }
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const std::string& annotation() const { return annotation_; }
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private:
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EventType type_;
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uint64_t start_ns_ = 0;
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uint64_t end_ns_ = 0;
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size_t bytes_;
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Place place_;
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int64_t thread_id_;
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std::string annotation_;
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};
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} // namespace platform
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} // namespace paddle
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