// 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 "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/framework/var_type.h" #include "google/protobuf/io/coded_stream.h" #include "google/protobuf/io/zero_copy_stream.h" #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/operators/distributed/distributed_pb.h" DECLARE_string(rpc_server_profile_path); namespace paddle { namespace operators { namespace distributed { // Source provides a way for a particular RPC implementation to provide // received data to ParseFrom. class Source { public: virtual ~Source() {} // Return the stream that contains the data to be parsed. // Note that this method might be invoked more than once if // ParseFrom needs to fall back to a more expensive parsing method. // Every call must return a stream pointing at the beginning of // the serialized RecvTensorResponse. // // Note that a subsequent call to contents() invalidates previous // results of contents(). // // Ownership of the returned stream is retained by the Source and // should not be deleted by the caller. virtual ::google::protobuf::io::ZeroCopyInputStream* contents() = 0; }; class VariableResponse { public: VariableResponse(const framework::Scope* scope, const platform::DeviceContext* dev_ctx, bool create_scope = false) : scope_(scope), dev_ctx_(dev_ctx), create_scope_(create_scope) { if (create_scope) { local_scope_ = scope->NewTmpScope(); } } virtual ~VariableResponse() { if (local_scope_) { delete local_scope_; local_scope_ = nullptr; } } int Parse(Source* source, const sendrecv::VariableMessage& meta) { meta_ = meta; return Parse(source); } // return: // 0:ok. // -1: unkown error. // other: number of error field. virtual int Parse(Source* source) = 0; inline const framework::Scope& GetLocalScope() const { return *local_scope_; } inline framework::Scope* GetMutableLocalScope() const { return local_scope_; } inline std::string Varname() const { return meta_.varname(); } inline std::string OutVarname() const { return meta_.out_varname(); } inline std::string TableName() const { return meta_.table_name(); } // should call parse first. framework::Variable* GetVar() { if (create_scope_) { return local_scope_->Var(meta_.varname()); } return scope_->FindVar(meta_.varname()); } int GetTrainerId() { return static_cast(meta_.trainer_id()); } protected: bool ReadRaw(::google::protobuf::io::CodedInputStream* input, const platform::DeviceContext& dev_ctx, platform::Place place, void* dest, int64_t size); bool CopySelectRowsTensorData(::google::protobuf::io::CodedInputStream* input, const platform::DeviceContext& ctx, const framework::DDim& dims, int length); bool CopySelectRowsData(::google::protobuf::io::CodedInputStream* input, const platform::DeviceContext& ctx, int length); bool CopyLodTensorData(::google::protobuf::io::CodedInputStream* input, const platform::DeviceContext& ctx, const framework::DDim& dims, int length); bool ProcSerializedField(int tag, ::google::protobuf::io::CodedInputStream* input, int64_t num_bytes); protected: const framework::Scope* scope_; const platform::DeviceContext* dev_ctx_; bool create_scope_ = false; framework::Scope* local_scope_ = nullptr; sendrecv::VariableMessage meta_; }; }; // namespace distributed }; // namespace operators }; // namespace paddle