- load / store training batch with context - on load: add context part to legacy training batches - removed Rbm::setBatch() git-svn-id: http://moon:8086/svn/software/trunk/projects/Rbm@790 b431acfa-c32f-4a4a-93f1-934dc6c82436
289 lines
5.7 KiB
C++
289 lines
5.7 KiB
C++
/*
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* To change this license header, choose License Headers in Project Properties.
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* To change this template file, choose Tools | Templates
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* and open the template in the editor.
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*/
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/*
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* File: Stack.cpp
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* Author: jens
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*
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* Created on 25. Oktober 2019, 18:26
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*/
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#include <cassert>
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#include "Stack.hpp"
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using namespace std;
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Stack::Stack(const std::string &dir, const std::string &name)
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: m_dir(dir)
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, m_name(name)
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, m_pLayers(nullptr)
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{
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}
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Stack::Stack(const Stack& orig)
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: m_dir(orig.m_dir)
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, m_name(orig.m_name)
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, m_pLayers(orig.m_pLayers)
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{
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}
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Stack::~Stack()
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{
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Layer *pLayer = m_pLayers;
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while(pLayer)
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{
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Layer *pNextLayer = pLayer->next;
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delete pLayer;
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pLayer = pNextLayer;
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}
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}
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void Stack::setName(const std::string& name)
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{
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m_name = name;
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}
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size_t Stack::numLayers()
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{
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size_t count = 0;
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Layer *pLayer = m_pLayers;
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while(pLayer)
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{
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count++;
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pLayer = pLayer->next;
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}
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return count;
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}
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void Stack::addLayer(Layer *pOtherLayer)
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{
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if (!m_pLayers)
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{
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m_pLayers = pOtherLayer;
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pOtherLayer->prev = nullptr;
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}
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else
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{
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Layer *pLayer = m_pLayers;
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while(pLayer->next)
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{
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pLayer = pLayer->next;
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}
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pLayer->next = pOtherLayer;
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pOtherLayer->prev = pLayer;
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}
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}
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void Stack::delLayer(Layer* pLayer)
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{
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assert(!"Stack::delLayer: Not implemented!");
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}
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Layer* Stack::getLayer(size_t layerId) const
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{
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Layer *pLayer = m_pLayers;
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while(pLayer)
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{
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if (pLayer->id() == layerId)
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{
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return pLayer;
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}
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pLayer = pLayer->next;
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}
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return nullptr;
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}
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bool Stack::load(LayerConstructor *pLayerConstructor)
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{
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std::cout << "Importing Project " << m_name << std::endl;
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ifstream ifs(m_dir + "/" + m_name + string(".prj"));
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Json::Reader reader;
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Json::Value project;
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reader.parse(ifs, project);
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const string &name = project["stack"]["name"].asString();
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Json::Value &layers = project["stack"]["layers"];
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for (int i=0; i < layers.size(); i++)
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{
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Json::Value &layer = layers[i];
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string layername = layer["name"].asString();
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int numVisibleX = layer["numVisibleX"].asInt();
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int numVisibleY = layer["numVisibleY"].asInt();
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int numHidden = layer["numHidden"].asInt();
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int numContext = layer["numContext"].asInt();
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Layer *pLayer = nullptr;
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if (!pLayerConstructor)
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{
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pLayer = new Layer(layername, i, numVisibleX, numVisibleY, numHidden, numContext);
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}
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else
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{
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pLayer = pLayerConstructor->onConstruct(layername, i, numVisibleX, numVisibleY, numHidden, numContext);
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}
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assert(pLayer != nullptr);
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pLayer->fromJson(layer["rbm"]);
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addLayer(pLayer);
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}
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return true;
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}
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bool Stack::save()
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{
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std::cout << "Exporting Project " << m_name << std::endl;
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ofstream ofs(m_dir + "/" + m_name + string(".prj"));
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Json::StyledWriter writer;
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Json::Value project;
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project["stack"]["name"] = m_name;
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Json::Value layers(Json::arrayValue);
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Layer *pLayer = m_pLayers;
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while(pLayer)
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{
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layers.append(pLayer->toJson());
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pLayer = pLayer->next;
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}
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project["stack"]["layers"] = layers;
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ofs << writer.write(project);
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return true;
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}
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void Stack::weightsInit(double stddev)
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{
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Layer *pLayer = m_pLayers;
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while(pLayer)
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{
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pLayer->weightsInit(stddev);
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pLayer = pLayer->next;
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}
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}
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bool Stack::loadWeights()
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{
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Layer *pLayer = m_pLayers;
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while(pLayer)
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{
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if (!pLayer->weightsLoad(m_dir, m_name))
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{
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return false;
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}
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pLayer = pLayer->next;
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}
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return true;
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}
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bool Stack::saveWeights()
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{
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Layer *pLayer = m_pLayers;
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while(pLayer)
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{
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if (!pLayer->weightsSave(m_dir, m_name))
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{
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return false;
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}
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pLayer = pLayer->next;
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}
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return true;
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}
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void Stack::train(Rbm::IListener* pListener)
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{
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Layer *pLayer = m_pLayers;
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while(pLayer)
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{
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std::cout << m_name << ": " << " Training of layer " << std::to_string(pLayer->id()) << std::endl;
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pLayer->calcContextBatch(m_trainingBatch);
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pLayer->train(m_trainingBatch, pListener);
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pLayer = pLayer->next;
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}
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}
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arma::mat& Stack::trainingBatch()
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{
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return m_trainingBatch;
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}
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arma::mat Stack::trainingBatch(Layer* pThatLayer)
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{
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arma::mat thisBatch = m_trainingBatch;
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Layer *pLayer = m_pLayers;
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while (pLayer)
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{
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if (pLayer->id() == pThatLayer->id())
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{
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break;
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}
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thisBatch = pLayer->toHiddenProbs(thisBatch);
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pLayer = pLayer->next;
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}
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return thisBatch;
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}
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size_t Stack::loadTrainingBatch(bool doNormalize)
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{
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std::string filename = m_dir + "/" + m_name + ".training.dat";
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std::string path = m_dir + "/" + m_name + ".training.dat";
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bool success = m_trainingBatch.load(filename, arma::arma_ascii);
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if (success)
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{
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if (doNormalize)
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{
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m_trainingBatch = Rbm::normalize(m_trainingBatch);
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}
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std::cout << "Loaded " << m_trainingBatch.n_rows << " training samples\n";
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}
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// Migrate context part to training data
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size_t numContext = getLayer(0)->context().n_cols;
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size_t numTraining = m_trainingBatch.n_rows;
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if (numContext > 0 and m_trainingBatch.n_cols != getLayer(0)->numVisible())
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{
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arma::mat training_with_ctx = arma::join_rows(m_trainingBatch, arma::zeros(numTraining, numContext));
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m_trainingBatch = training_with_ctx;
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}
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return m_trainingBatch.n_rows;
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}
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size_t Stack::saveTrainingBatch()
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{
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std::string filename = m_dir + "/" + m_name + ".training.dat";
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bool success = m_trainingBatch.save(filename, arma::arma_ascii);
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if (success)
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{
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std::cout << "Saved " << m_trainingBatch.n_rows << " training samples\n";
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}
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return m_trainingBatch.n_rows;
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}
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size_t Stack::numTraining()
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{
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return m_trainingBatch.n_rows;
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}
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void Stack::addTraining(const arma::mat &toAdd)
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{
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m_trainingBatch.insert_rows(m_trainingBatch.n_rows, toAdd);
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}
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void Stack::delTraining(int index)
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{
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m_trainingBatch.shed_row(index);
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}
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