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133 lines
4.4 KiB
133 lines
4.4 KiB
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#pragma once
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#include <string>
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/scope.h"
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#include "paddle/fluid/framework/selected_rows.h"
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#include "paddle/fluid/framework/var_type.h"
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#include "google/protobuf/io/coded_stream.h"
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#include "google/protobuf/io/zero_copy_stream.h"
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#include "paddle/fluid/framework/tensor.h"
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#include "paddle/fluid/operators/distributed/distributed_pb.h"
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DECLARE_string(rpc_server_profile_path);
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namespace paddle {
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namespace operators {
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namespace distributed {
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// Source provides a way for a particular RPC implementation to provide
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// received data to ParseFrom.
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class Source {
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public:
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virtual ~Source() {}
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// Return the stream that contains the data to be parsed.
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// Note that this method might be invoked more than once if
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// ParseFrom needs to fall back to a more expensive parsing method.
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// Every call must return a stream pointing at the beginning of
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// the serialized RecvTensorResponse.
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//
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// Note that a subsequent call to contents() invalidates previous
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// results of contents().
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//
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// Ownership of the returned stream is retained by the Source and
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// should not be deleted by the caller.
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virtual ::google::protobuf::io::ZeroCopyInputStream* contents() = 0;
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};
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class VariableResponse {
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public:
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VariableResponse(const framework::Scope* scope,
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const platform::DeviceContext* dev_ctx,
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bool create_scope = false)
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: scope_(scope), dev_ctx_(dev_ctx), create_scope_(create_scope) {
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if (create_scope) {
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local_scope_ = scope->NewTmpScope().release();
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}
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}
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virtual ~VariableResponse() {
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if (local_scope_) {
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delete local_scope_;
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local_scope_ = nullptr;
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}
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}
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int Parse(Source* source, const sendrecv::VariableMessage& meta) {
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meta_ = meta;
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return Parse(source);
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}
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// return:
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// 0:ok.
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// -1: unkown error.
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// other: number of error field.
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virtual int Parse(Source* source) = 0;
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inline const framework::Scope& GetLocalScope() const { return *local_scope_; }
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inline framework::Scope* GetMutableLocalScope() const { return local_scope_; }
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inline std::string Varname() const { return meta_.varname(); }
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inline std::string OutVarname() const { return meta_.out_varname(); }
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inline std::string TableName() const { return meta_.table_name(); }
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// should call parse first.
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framework::Variable* GetVar() {
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if (create_scope_) {
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return local_scope_->Var(meta_.varname());
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}
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return scope_->FindVar(meta_.varname());
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}
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int GetTrainerId() { return static_cast<int>(meta_.trainer_id()); }
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protected:
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bool ReadRaw(::google::protobuf::io::CodedInputStream* input,
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const platform::DeviceContext& dev_ctx, platform::Place place,
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void* dest, int64_t size);
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bool CopySelectRowsTensorData(::google::protobuf::io::CodedInputStream* input,
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const platform::DeviceContext& ctx,
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const framework::DDim& dims, int length);
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bool CopySelectRowsData(::google::protobuf::io::CodedInputStream* input,
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const platform::DeviceContext& ctx, int length);
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bool CopyLodTensorData(::google::protobuf::io::CodedInputStream* input,
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const platform::DeviceContext& ctx,
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const framework::DDim& dims, int length);
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bool ProcSerializedField(int tag,
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::google::protobuf::io::CodedInputStream* input,
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int64_t num_bytes);
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protected:
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const framework::Scope* scope_;
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const platform::DeviceContext* dev_ctx_;
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bool create_scope_ = false;
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framework::Scope* local_scope_ = nullptr;
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sendrecv::VariableMessage meta_;
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};
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}; // namespace distributed
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}; // namespace operators
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}; // namespace paddle
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