/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. 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 #include #include #include #include #include #include #include #include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/operators/detail/sendrecvop_utils.h" #include "paddle/fluid/operators/detail/simple_block_queue.h" namespace paddle { namespace operators { namespace detail { struct VarHandle { std::string ep; const platform::DeviceContext* ctx; const framework::Scope* scope; std::string name; std::string String() const { std::ostringstream s; s << "name:[" << name << "] ep:[" << ep << "]"; return s.str(); } }; void ProcGetResponse(const VarHandle& var_h, const sendrecv::VariableMessage& msg); class ClientBase { public: explicit ClientBase(std::shared_ptr ch) { stub_ = sendrecv::SendRecvService::NewStub(ch); context_ = NULL; } virtual ~ClientBase() {} virtual void Prepare(const VarHandle& var_info, int64_t time_out) { context_.reset(new grpc::ClientContext()); var_h_ = var_info; std::chrono::system_clock::time_point deadline = std::chrono::system_clock::now() + std::chrono::milliseconds(time_out); context_->set_deadline(deadline); } virtual void Prepare(int64_t time_out) { context_.reset(new grpc::ClientContext()); std::chrono::system_clock::time_point deadline = std::chrono::system_clock::now() + std::chrono::milliseconds(time_out); context_->set_deadline(deadline); } virtual void Process() = 0; std::unique_ptr stub_; std::unique_ptr context_; grpc::Status status_; VarHandle var_h_; }; typedef std::function RequestSendCallBack; class SendProcessor : public ClientBase { public: explicit SendProcessor(std::shared_ptr ch) : ClientBase(ch) {} virtual ~SendProcessor() {} virtual void Process() { if (response_call_back_) { response_call_back_(var_h_, reply_); } } sendrecv::VoidMessage reply_; RequestSendCallBack response_call_back_ = NULL; }; typedef std::function RequestGetCallBack; class GetProcessor : public ClientBase { public: explicit GetProcessor(std::shared_ptr ch) : ClientBase(ch) {} virtual ~GetProcessor() {} virtual void Process() { if (response_call_back_) { response_call_back_(var_h_, reply_); } } sendrecv::VariableMessage reply_; RequestGetCallBack response_call_back_ = ProcGetResponse; }; class BatchBarrierProcessor : public ClientBase { public: explicit BatchBarrierProcessor(std::shared_ptr ch) : ClientBase(ch) {} virtual ~BatchBarrierProcessor() {} virtual void Process() {} sendrecv::VoidMessage reply_; }; class RPCClient { public: bool AsyncSendVariable(const std::string& ep, const platform::DeviceContext& ctx, const framework::Scope& scope, const std::string& var_name, int64_t time_out = 600 * 1000); bool AsyncGetVariable(const std::string& ep, const platform::DeviceContext& ctx, const framework::Scope& scope, const std::string& var_name, int64_t time_out = 600 * 1000); bool AsyncSendBatchBarrier(const std::string& ep, int64_t time_out = 600 * 1000); bool Wait(); private: bool Proceed(); std::shared_ptr GetChannel(const std::string& ep); private: grpc::CompletionQueue cq_; std::map> channels_; int64_t req_count_ = 0; }; } // namespace detail } // namespace operators } // namespace paddle