padding.hpp

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#ifndef MLPACK_METHODS_ANN_LAYER_PADDING_HPP
#define MLPACK_METHODS_ANN_LAYER_PADDING_HPP

#include <mlpack/prereqs.hpp>
#include <mlpack/methods/ann/layer/layer_traits.hpp>

namespace mlpack {
namespace ann  {

template <
    typename InputDataType = arma::mat,
    typename OutputDataType = arma::mat
>
class Padding
{
 public:
  Padding(const size_t padWLeft = 0,
          const size_t padWRight = 0,
          const size_t padHTop = 0,
          const size_t padHBottom = 0);

  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);

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

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

  size_t PadWLeft() const { return padWLeft; }
  size_t& PadWLeft() { return padWLeft; }

  size_t PadWRight() const { return padWRight; }
  size_t& PadWRight() { return padWRight; }

  size_t PadHTop() const { return padHTop; }
  size_t& PadHTop() { return padHTop; }

  size_t PadHBottom() const { return padHBottom; }
  size_t& PadHBottom() { return padHBottom; }

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

 private:
  size_t padWLeft;

  size_t padWRight;

  size_t padHTop;

  size_t padHBottom;

  size_t nRows, nCols;

  OutputDataType delta;

  OutputDataType outputParameter;
}; // class Padding

} // namespace ann
} // namespace mlpack

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

#endif