highway.hpp

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#ifndef MLPACK_METHODS_ANN_LAYER_HIGHWAY_HPP
#define MLPACK_METHODS_ANN_LAYER_HIGHWAY_HPP

#include <mlpack/prereqs.hpp>

#include <boost/ptr_container/ptr_vector.hpp>

#include "../visitor/delete_visitor.hpp"
#include "../visitor/delta_visitor.hpp"
#include "../visitor/output_height_visitor.hpp"
#include "../visitor/output_parameter_visitor.hpp"
#include "../visitor/output_width_visitor.hpp"

#include "layer_types.hpp"
#include "add_merge.hpp"

namespace mlpack {
namespace ann  {

template <
    typename InputDataType = arma::mat,
    typename OutputDataType = arma::mat,
    typename... CustomLayers>
class Highway
{
 public:
  Highway();

  Highway(const size_t inSize, const bool model = true);

  ~Highway();

  void Reset();

  template<typename eT>
  void Forward(const arma::Mat<eT>& input, arma::Mat<eT>& output);

  template<typename eT>
  void Backward(const arma::Mat<eT>& /* input */,
                const arma::Mat<eT>& gy,
                arma::Mat<eT>& g);

  template<typename eT>
  void Gradient(const arma::Mat<eT>& input,
                const arma::Mat<eT>& error,
                arma::Mat<eT>& gradient);

  template <class LayerType, class... Args>
  void Add(Args... args)
  {
    network.push_back(new LayerType(args...));
    networkOwnerships.push_back(true);
  }

  void Add(LayerTypes<CustomLayers...> layer)
  {
    network.push_back(layer);
    networkOwnerships.push_back(false);
  }

  std::vector<LayerTypes<CustomLayers...> >& Model()
  {
    if (model)
    {
      return network;
    }

    return empty;
  }

  OutputDataType const& Parameters() const { return weights; }
  OutputDataType& Parameters() { return weights; }

  InputDataType const& InputParameter() const { return inputParameter; }
  InputDataType& InputParameter() { return inputParameter; }

  OutputDataType const& OutputParameter() const { return outputParameter; }
  OutputDataType& OutputParameter() { return outputParameter; }

  OutputDataType const& Delta() const { return delta; }
  OutputDataType& Delta() { return delta; }

  OutputDataType const& Gradient() const { return gradient; }
  OutputDataType& Gradient() { return gradient; }

  size_t InSize() const { return inSize; }

  template<typename Archive>
  void serialize(Archive& ar, const unsigned int /* version */);

 private:
  size_t inSize;

  bool model;

  bool reset;

  std::vector<LayerTypes<CustomLayers...> > network;

  std::vector<bool> networkOwnerships;

  std::vector<LayerTypes<CustomLayers...> > empty;

  OutputDataType weights;

  OutputDataType delta;

  OutputDataType gradient;

  OutputDataType transformWeight;

  OutputDataType transformBias;

  OutputDataType transformGate;

  OutputDataType transformGateActivation;

  OutputDataType transformGateError;

  InputDataType inputParameter;

  OutputDataType outputParameter;

  size_t width;

  size_t height;

  OutputDataType networkOutput;

  DeltaVisitor deltaVisitor;

  OutputParameterVisitor outputParameterVisitor;

  DeleteVisitor deleteVisitor;

  OutputWidthVisitor outputWidthVisitor;

  OutputHeightVisitor outputHeightVisitor;
}; // class Highway

} // namespace ann
} // namespace mlpack

// Include implementation.
#include "highway_impl.hpp"

#endif