// Copyright (c) 2020 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 "paddle/fluid/platform/place.h" namespace paddle { namespace platform { class DeviceContext; } // namespace platform namespace framework { class Variable; } // namespace framework } // namespace paddle namespace paddle { namespace imperative { struct ParallelStrategy { int nranks_{1}; int local_rank_{0}; std::vector trainer_endpoints_{}; std::string current_endpoint_{""}; int nrings_{1}; }; class ParallelContext { public: explicit ParallelContext(const ParallelStrategy& strategy, const platform::Place& place) : strategy_(strategy), place_(place) {} virtual ~ParallelContext() = default; virtual void Init() = 0; virtual void AllReduceByStream(const framework::Variable& src, framework::Variable* dst, int ring_id, bool use_calc_stream) = 0; virtual paddle::platform::DeviceContext* GetDeviceContext(int ring_id) = 0; // comm_stream[ring_id] wait compute_stream. // if CPU, should do nothing. virtual void WaitCompute(int ring_id) = 0; // compute_stream wait comm_stream[ring_id] // if CPU, should do nothing. virtual void WaitComm(int ring_id) = 0; inline int GetNRings() const { return strategy_.nrings_; } inline int64_t GetNRanks() const { return strategy_.nranks_; } protected: ParallelStrategy strategy_; platform::Place place_; }; } // namespace imperative } // namespace paddle