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122 lines
4.2 KiB
122 lines
4.2 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include <stdint.h>
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#include <sys/stat.h>
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#include <ostream>
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#include <thread>
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#include <unistd.h>
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#include "paddle/framework/data_type.h"
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#include "paddle/framework/executor.h"
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#include "paddle/framework/framework.pb.h"
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#include "paddle/framework/lod_tensor.h"
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#include "paddle/framework/op_registry.h"
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#include "paddle/operators/detail/send_recv_impl.h"
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#include "paddle/operators/detail/simple_block_queue.h"
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namespace paddle {
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namespace operators {
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void RunServer(Server **rpc_server,
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std::shared_ptr<detail::SendRecvServerImpl> service,
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const std::string &server_address) {
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ServerBuilder builder;
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builder.AddListeningPort(server_address, grpc::InsecureServerCredentials());
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builder.RegisterService(service.get());
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std::unique_ptr<Server> server(builder.BuildAndStart());
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*rpc_server = server.get();
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LOG(INFO) << "Server listening on " << server_address << std::endl;
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server->Wait();
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}
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class RecvOp : public framework::OperatorBase {
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public:
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RecvOp(const std::string &type, const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: OperatorBase(type, inputs, outputs, attrs) {
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if (!rpc_service_) {
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rpc_service_.reset(new detail::SendRecvServerImpl());
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std::string endpoint = Attr<std::string>("endpoint");
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server_thread_.reset(
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new std::thread(RunServer, &rpc_server_, rpc_service_, endpoint));
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}
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}
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virtual ~RecvOp() {
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rpc_server_->Shutdown();
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server_thread_->join();
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}
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void Run(const framework::Scope &scope,
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const platform::DeviceContext &dev_ctx) const override {
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// blocking get one var from client.
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const framework::LoDTensor &t = rpc_service_->Get();
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framework::Scope &recv_scope = scope.NewScope();
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// set graph input var
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auto *var = recv_scope.Var(Input("RX"));
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auto *tensor = var->GetMutable<framework::LoDTensor>();
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// FIXME(typhoonzero): do not copy
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framework::CopyFrom(t, dev_ctx.GetPlace(), dev_ctx, tensor);
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auto *block = Attr<framework::BlockDescBind *>("OptimizeBlock");
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auto *program = block->Program();
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framework::Executor executor(dev_ctx);
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// Run sub graph to get optimized tensor
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executor.Run(*program, &recv_scope, block->ID(),
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false /*create_local_scope*/);
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auto *out_var = recv_scope.FindVar("Out");
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// push back
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rpc_service_->Push(out_var->Get<framework::LoDTensor>());
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}
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protected:
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// grpc server instance to track status and gracefully shutdown.
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// borrow an pointer from server thread.
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Server *rpc_server_{nullptr};
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// grpc send/recv service implement to register.
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std::shared_ptr<detail::SendRecvServerImpl> rpc_service_;
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std::shared_ptr<std::thread> server_thread_;
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};
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class RecvOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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RecvOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("RX", "(Tensor) Input tensor to be saved");
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AddComment(R"DOC(
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Recv operator
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This operator will recv tensor from send_op
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)DOC");
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AddAttr<std::string>("endpoint",
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"(string, default 127.0.0.1:6164)"
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"IP address to listen on.")
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.SetDefault("127.0.0.1:6164")
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.AddCustomChecker([](const std::string &ip) { return !ip.empty(); });
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AddAttr<framework::BlockDescBind *>("OptimizeBlock", "type BlockDescBind*",
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"optimize network run in server");
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(recv, ops::RecvOp, ops::RecvOpMaker);
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