/* Copyright (c) 2022 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 #if defined(PADDLE_WITH_CNCL) #include #include #include #include #include "paddle/fluid/imperative/parallel_context.h" #include "paddle/fluid/platform/device/mlu/mlu_resource_pool.h" namespace paddle { namespace framework { class Variable; } // namespace framework } // namespace paddle namespace paddle { namespace imperative { class CNCLParallelContext : public ParallelContext { public: explicit CNCLParallelContext(const ParallelStrategy& strategy, const platform::Place& place) : ParallelContext(strategy, place) {} ~CNCLParallelContext() override = default; void BcastCNCLId(std::vector& cncl_ids, int root, // NOLINT int server_fd); void Init() override; void InitWithRingID(int ring_id) override; void AllReduceByStream(const framework::Variable& src, framework::Variable* dst, int ring_id, bool use_calc_stream) override; void Broadcast(framework::Variable* src, int ring_id) override; paddle::platform::DeviceContext* GetDeviceContext(int ring_id) override; void WaitCompute(int ring_id) override; void WaitComm(int ring_id) override; void SynchronizeCompute() override; private: // used for comm wait compute, compute_stream-->event-->comm_stream[ring_id] std::vector> compute_events_; // used for compute wait comm, comm_stream[ring_id]-->event-->compute_stream std::vector> comm_events_; }; } // namespace imperative } // namespace paddle #endif