// Copyright (c) 2018 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/framework/details/op_handle_base.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/scope.h" #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32) #include "paddle/fluid/platform/nccl_helper.h" #endif namespace paddle { namespace framework { namespace details { #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32) constexpr char g_dgc_counter_name[] = "__g_dgc_counter__"; constexpr char g_dgc_rampup_begin_step[] = "__g_rampup_begin_step__"; constexpr char g_dgc_encoded[] = "__dgc_encoded__"; constexpr char g_dgc_k[] = "__dgc_k__"; #endif struct AllReduceOpHandle : public OpHandleBase { #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32) AllReduceOpHandle(ir::Node *node, const std::vector &local_scopes, const std::vector &places, const platform::NCCLContextMap *ctxs, bool is_encoded = false, int nranks = -1); #else AllReduceOpHandle(ir::Node *node, const std::vector &local_scopes, const std::vector &places); #endif std::string Name() const override; // Delay and buffer nccl_all_reduce together can significantly increase // performance. Disable this feature by returning false. bool IsMultiDeviceTransfer() override { return true; }; protected: void RunImpl() override; private: std::vector local_scopes_; std::vector places_; #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32) void RunImplEncoded(); const platform::NCCLContextMap *nccl_ctxs_; bool is_encoded_{false}; int nranks_{-1}; int GetKValue(const std::string &grad_name); #endif void RunImplNormal(); bool IsEncoded(); }; } // namespace details } // namespace framework } // namespace paddle