Rbm/source/AStack.hpp

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/* 
 * File:   AStack.hpp
 * Author: jens
 *
 * Created on 16. Januar 2022, 13:55
 */

#ifndef ASTACK_HPP
#define ASTACK_HPP

#include <string>
#include <vector>
#include <armadillo>
#include <jsoncpp/json/json.h>
#include "Layer.hpp"
#include <forward_list>

class AStack;
class LayerConstructor
{
public:
	LayerConstructor() {}
	virtual ~LayerConstructor() {}
	
	virtual Layer* onConstruct(AStack *pStack, const std::string &name, size_t id, size_t numVisibleX, size_t numVisibleY, size_t numHidden, size_t numContext)
	{
		return nullptr;
	}
};

class AStack
{
public:
	enum StackType
	{
		None,
		Deep,
		Rnn,
		NUM_STACKTYPES
	};

	static const char *stackTypeStrings[NUM_STACKTYPES];
	
	AStack(StackType type, const std::string &name);
	AStack(const AStack& orig) = delete;
	virtual ~AStack();
	
	StackType type();
	void setName(const std::string &name);
	size_t numLayers();
	virtual size_t numContext()
	{
		return 0;
	}
	void addLayer(Layer *pLayer);
	void delLayer(Layer *pLayer);
	
	Layer* getLayer(size_t layerId) const;

	bool save(const std::string &dir);

	void weightsInit(double stddev);
	bool loadWeights(const std::string &dir);
	bool saveWeights(const std::string &dir);

	virtual void train(const arma::mat& batch, Rbm::IListener* pListener) = 0;

	size_t numTraining();
	void addTraining(const arma::mat &toAdd);
	void delTraining(int index);
	size_t loadTrainingBatch(const std::string &dir, bool doNormalize=false);
	size_t saveTrainingBatch(const std::string &dir);
	arma::mat& trainingBatch();

protected:
	StackType m_type;
	std::string m_name;
	Layer *m_pLayers;

private:
	arma::mat m_trainingBatch;
	
};

#endif /* ASTACK_HPP */