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122 lines
3.9 KiB
122 lines
3.9 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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#pragma once
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#include <functional>
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#include <thread>
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#include "OptimizerConfig.pb.h"
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#include "ParameterUpdater.h"
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#include "libpaddle_pserver_cclient.h"
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#include "paddle/pserver/ParameterClient2.h"
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#include "paddle/utils/Queue.h"
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#include "paddle/utils/Util.h"
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namespace paddle {
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/**
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* New remote parameter updater for dense parameters that use cclient of go.
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*/
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class NewRemoteParameterUpdater : public ParameterUpdater {
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public:
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NewRemoteParameterUpdater(const OptimizationConfig& config,
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const std::string pserverSpec);
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NewRemoteParameterUpdater(const OptimizationConfig& config,
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const std::string pserverSpec,
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const bool useEtcd);
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~NewRemoteParameterUpdater() {
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releaseNewParameter(newParameters_);
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releaseNewParameter(newGradients_);
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if (parameterClient_ >= 0) paddle_pserver_client_release(parameterClient_);
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}
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/**
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* initialize the internal parameter client and itself.
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*/
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virtual void init(const std::vector<ParameterPtr>& parameters);
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/**
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* @brief start batch
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*
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* @note one batch training exhibits stateful feature to help
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* to do performance tuning, sgd optimization if necessary.
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*/
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virtual PassType startBatch(int64_t batchSize) { return PASS_TRAIN; }
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/**
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* send parameters to pservers and get returned parameters
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* from all pservers if necessary.
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*/
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virtual void finishBatch(real cost);
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virtual void startPass();
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virtual bool finishPass();
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protected:
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/**
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* work need to do after finishBatch
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*/
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virtual void updateImpl(Parameter* para);
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private:
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int parameterSize() { return (int)parameters_.size(); }
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/**
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* init parameter of go paddle pserver cclient.
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* @param new_params
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* @param type
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*/
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paddle_parameter** initNewParameter(ParameterType type) {
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paddle_parameter** new_params =
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(paddle_parameter**)malloc(sizeof(paddle_parameter*) * parameterSize());
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for (int i = 0; i < parameterSize(); ++i) {
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new_params[i] = (paddle_parameter*)malloc(sizeof(paddle_parameter));
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memset(new_params[i], 0, sizeof(paddle_parameter));
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}
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for (int i = 0; i < parameterSize(); ++i) {
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ParameterPtr param = parameters_[i];
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new_params[i]->element_type = PADDLE_ELEMENT_TYPE_FLOAT32;
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new_params[i]->name = (char*)param->getName().c_str();
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new_params[i]->content =
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(unsigned char*)(param->getBuf(type).get()->getData());
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new_params[i]->content_len =
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(int)param->getBuf(type).get()->getSize() * sizeof(real);
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}
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return new_params;
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}
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void releaseNewParameter(paddle_parameter** newParams) {
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if (newParams != nullptr) {
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for (int i = 0; i < parameterSize(); ++i) {
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free(newParams[i]);
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}
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free(newParams);
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}
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}
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protected:
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const OptimizationConfig& trainerConfig_;
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/// internal parameter client object for exchanging data with pserver
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paddle_pserver_client parameterClient_;
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/// the parameters for new pserver client
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paddle_parameter** newParameters_;
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/// the gradinets for new pserver client
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paddle_parameter** newGradients_;
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/// the specification of parameter server "host1:port,host1:port"
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std::string pserverSpec_;
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/// true if pserverSpec_ is etcd endpoint, else pserverSpec_ is pserver addr
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bool useEtcd_;
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};
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} // namespace paddle
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