/* Copyright (c) 2016 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 #include #include #include #include "paddle/framework/data_type.h" #include "paddle/framework/executor.h" #include "paddle/framework/framework.pb.h" #include "paddle/framework/lod_tensor.h" #include "paddle/framework/op_registry.h" #include "paddle/operators/detail/send_recv_impl.h" #include "paddle/operators/detail/simple_block_queue.h" namespace paddle { namespace operators { void RunServer(Server **rpc_server, std::shared_ptr service, const std::string &server_address) { ServerBuilder builder; builder.AddListeningPort(server_address, grpc::InsecureServerCredentials()); builder.RegisterService(service.get()); std::unique_ptr server(builder.BuildAndStart()); *rpc_server = server.get(); LOG(INFO) << "Server listening on " << server_address; server->Wait(); } class RecvOp : public framework::OperatorBase { public: RecvOp(const std::string &type, const framework::VariableNameMap &inputs, const framework::VariableNameMap &outputs, const framework::AttributeMap &attrs) : OperatorBase(type, inputs, outputs, attrs) { if (!rpc_service_) { rpc_service_.reset(new detail::SendRecvServerImpl()); std::string endpoint = Attr("endpoint"); server_thread_.reset( new std::thread(RunServer, &rpc_server_, rpc_service_, endpoint)); } } virtual ~RecvOp() { rpc_server_->Shutdown(); server_thread_->join(); } void Run(const framework::Scope &scope, const platform::DeviceContext &dev_ctx) const override { // blocking get one var from client. const framework::LoDTensor &t = rpc_service_->Get(); framework::Scope &recv_scope = scope.NewScope(); // set graph input var auto *var = recv_scope.Var(Input("RX")); auto *tensor = var->GetMutable(); // FIXME(typhoonzero): do not copy framework::CopyFrom(t, dev_ctx.GetPlace(), dev_ctx, tensor); auto *block = Attr("OptimizeBlock"); auto *program = block->Program(); framework::Executor executor(dev_ctx); // Run sub graph to get optimized tensor executor.Run(*program, &recv_scope, block->ID(), false /*create_local_scope*/); auto *out_var = recv_scope.FindVar("Out"); // push back rpc_service_->Push(out_var->Get()); } protected: // grpc server instance to track status and gracefully shutdown. // borrow an pointer from server thread. Server *rpc_server_{nullptr}; // grpc send/recv service implement to register. std::shared_ptr rpc_service_; std::shared_ptr server_thread_; }; class RecvOpMaker : public framework::OpProtoAndCheckerMaker { public: RecvOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker) : OpProtoAndCheckerMaker(proto, op_checker) { AddInput("RX", "(Tensor) Input tensor to be saved"); AddComment(R"DOC( Recv operator This operator will recv tensor from send_op )DOC"); AddAttr("endpoint", "(string, default 127.0.0.1:6164)" "IP address to listen on.") .SetDefault("127.0.0.1:6164") .AddCustomChecker([](const std::string &ip) { return !ip.empty(); }); AddAttr("OptimizeBlock", "type BlockDescBind*", "optimize network run in server"); } }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; REGISTER_OPERATOR(recv, ops::RecvOp, ops::RecvOpMaker);