/* Copyright (c) 2019 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. */ #include #include "paddle/fluid/framework/op_proto_maker.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/var_type_traits.h" #include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/place.h" #include "paddle/fluid/platform/gen_comm_id_helper.h" namespace paddle { namespace operators { #if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL) static void GenNCCLID(std::vector* nccl_ids) { for (size_t i = 0; i < nccl_ids->size(); ++i) { PADDLE_ENFORCE_CUDA_SUCCESS( platform::dynload::ncclGetUniqueId(&(*nccl_ids)[i])); } } static void CopyNCCLIDToVar(const std::vector& nccl_ids, std::function func, const framework::Scope& scope) { for (size_t i = 0; i < nccl_ids.size(); ++i) { std::string var_name = func(i); auto var = scope.FindVar(var_name); PADDLE_ENFORCE_NOT_NULL( var, platform::errors::NotFound("Variable with name %s is not found", var_name.c_str())); auto nccl_id = var->GetMutable(); memcpy(nccl_id, &nccl_ids[i], sizeof(ncclUniqueId)); } } class CGenNCCLIdOp : public framework::OperatorBase { public: CGenNCCLIdOp(const std::string& type, const framework::VariableNameMap& inputs, const framework::VariableNameMap& outputs, const framework::AttributeMap& attrs) : OperatorBase(type, inputs, outputs, attrs) {} void RunImpl(const framework::Scope& scope, const platform::Place& dev_place) const override { int rank = Attr("rank"); framework::Scope& local_scope = scope.NewScope(); std::function func = [&](size_t i) -> std::string { return Output("Out"); }; std::string endpoint = Attr("endpoint"); int server_fd = platform::SocketServer::GetInstance(endpoint).socket(); std::vector nccl_ids; nccl_ids.resize(1); if (rank == 0) { GenNCCLID(&nccl_ids); std::vector endpoint_list = Attr>("other_endpoints"); platform::SendBroadCastCommID(endpoint_list, &nccl_ids); } else { platform::RecvBroadCastCommID(server_fd, endpoint, &nccl_ids); } CopyNCCLIDToVar(nccl_ids, func, scope); scope.DeleteScope(&local_scope); } }; #else class CGenNCCLIdOp : public framework::OperatorBase { public: CGenNCCLIdOp(const std::string& type, const framework::VariableNameMap& inputs, const framework::VariableNameMap& outputs, const framework::AttributeMap& attrs) : OperatorBase(type, inputs, outputs, attrs) {} void RunImpl(const framework::Scope& scope, const platform::Place& dev_place) const override {} }; #endif class CGenNCCLIdOpMaker : public framework::OpProtoAndCheckerMaker { public: void Make() override { AddOutput("Out", "Raw variable contains a NCCL UniqueId instaces."); AddComment(R"DOC( CGenNCCLId operator For trainer 0: generate a new UniqueId and send it to all the other trainers. For trainer 1~n: start a gRPC server to get the UniqueId, once got, stop the server. )DOC"); AddAttr("endpoint", "(string), e.g. 127.0.0.1:6175 " "current listen endpoint"); AddAttr>( "other_endpoints", "['trainer1_ip:port', 'trainer2_ip:port', ...] " "list of other trainer endpoints") .SetDefault({}); AddAttr("rank", "(int default 0) " "The rank of the trainer in distributed training.") .SetDefault(0); } }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; REGISTER_OPERATOR(c_gen_nccl_id, ops::CGenNCCLIdOp, ops::CGenNCCLIdOpMaker);