Conv1DLayer.hpp

/*
 * Conv1DLayer.hpp
 * 
 * Copyright 2018 Fernando Pujaico Rivera <fernando.pujaico.rivera@gmail.com>
 * 
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 2 of the License, or
 * (at your option) any later version.
 * 
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 * 
 * You should have received a copy of the GNU General Public License
 * along with this program; if not, write to the Free Software
 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
 * MA 02110-1301, USA.
 * 
 */
 
#ifndef __PDS_CONV1DLAYER_HPP__
#define __PDS_CONV1DLAYER_HPP__
 
#include <string>
#include <vector>
#include <Pds/Ra>
#include <Pds/AbstractLayer>
 
namespace Pds{
 
 
class Conv1DLayer: public AbstractLayer
{
 
private:
    // Número de canales de entrada, W[n].size().
    unsigned int Nin;
    
    // Número de capas de salida, W.size().
    unsigned int Nout;
    
    // Matriz de pesos
    std::vector<std::vector<Pds::Vector>> W;
    
    // Vector de bias
    std::vector<double> Bias;
    
    // Matriz de bias
    bool HasBias;
    
    // Funcion de activacion
    double (*ActFunc)(double);
    // Derivada de la funcion de activación
    double (*DActFunc)(double);
    
    // Paso entre convoluciones
    unsigned int Stride; 
    
    // Padding de la convolucion, puede ser Pds::Ra::Valid, Pds::Ra::Full o Pds::Ra::Same.
    Pds::Ra::Padding Padding;
    
public:
 
    Conv1DLayer(void);
    
    Conv1DLayer(unsigned int Nin,
                unsigned int Nout,
                unsigned int Sz, 
                double(*func)(double)=Pds::ReLU, 
                double(*dfunc)(double)=Pds::DReLU,
                unsigned int Stride=1, 
                Pds::Ra::Padding Padding=Pds::Ra::Valid );    
        
    Conv1DLayer(const std::vector<std::vector<Pds::Vector>> &W, 
                double(*func)(double)=Pds::ReLU, 
                double(*dfunc)(double)=Pds::DReLU,
                unsigned int Stride=1, 
                Pds::Ra::Padding Padding=Pds::Ra::Valid);
    
 
    Conv1DLayer(const Pds::Conv1DLayer &B);
 
    
    ~Conv1DLayer(); 
    
public:
    bool Rand(double minval,double maxval);
    
    
    bool SetActFunc(double (*func)(double),double (*dfunc)(double));
    
public:
    bool IsEmpty(void) const;
    
    unsigned int Noutputs(void) const;
    
    unsigned int Ninputs(void) const;
    
    unsigned int KernelSize(void) const;
    
    Pds::Shape GetInputShape(void) const;
    
    
    Pds::Shape GetOutputShape(const Pds::Shape &In) const;
    
public:
    bool ExportXmlToStream(std::ofstream &myfile) const;
    
    std::string ExportXmlToString(void) const;
    
    bool ImportXmlFromString(const std::string &str);
    
    bool SaveInStream(std::ofstream &myfile) const;
    
 
        
    bool LoadFromStream(std::ifstream &ifs);
public:
    Pds::TensorBlock PredictTensor(const Pds::TensorBlock &In) const;
 
    std::vector<Pds::Vector> Predict(const std::vector<Pds::Vector> &Input) const;
    
    
public:
    void Print(std::string str="") const;
 
    void PrintStylized(std::string str="") const;
    
    void MakeEmpty(void);
    
    Pds::AbstractLayer* Clone(void)
    {
      return new Pds::Conv1DLayer(*this);
    }
}; // Class Conv1DLayer
 
} // namespace Pds
 
 
#endif