// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. // // 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. #pragma once #include #include #include #include "paddle/fluid/framework/new_executor/new_executor_defs.h" #include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/device_event.h" namespace paddle { namespace framework { class StreamAnalyzer { public: using Place = platform::Place; using DeviceContext = platform::DeviceContext; explicit StreamAnalyzer(const Place& place); ~StreamAnalyzer() {} void Schedule(const std::vector& downstream_ops, std::vector* instructions, size_t op_index); DeviceContext* ParseDeviceContext(const OpFuncNode& op_func_node); private: std::vector GetNeedEventVarIds(const Instruction& cur_instr, const Instruction& next_instr); void ConstructEventForVar(const std::vector& new_event_var_id, Instruction* next_instr, platform::DeviceType waiter_type, const Place& place); bool IsDirectRun(Instruction& cur_instr, // NOLINT const Instruction& next_instr); platform::DeviceType GetWaiterType(const Instruction& instr); const Place place_; std::shared_future> d2h_ctx_; std::shared_future> h2d_ctx_; std::map> var_id2event_; }; } // namespace framework } // namespace paddle