dropout.hpp

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#ifndef MLPACK_METHODS_ANN_LAYER_DROPOUT_HPP
#define MLPACK_METHODS_ANN_LAYER_DROPOUT_HPP

#include <mlpack/prereqs.hpp>

namespace mlpack {
namespace ann  {

template <
    typename InputDataType = arma::mat,
    typename OutputDataType = arma::mat
>
class Dropout
{
 public:
  Dropout(const double ratio = 0.5, const bool rescale = true);

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

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

  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; }

  bool Deterministic() const { return deterministic; }
  bool& Deterministic() { return deterministic; }

  double Ratio() const { return ratio; }

  void Ratio(const double r)
  {
    ratio = r;
    scale = 1.0 / (1.0 - ratio);
  }

  bool Rescale() const {return rescale; }
  bool& Rescale() {return rescale; }

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

 private:
  OutputDataType delta;

  InputDataType inputParameter;

  OutputDataType outputParameter;

  OutputDataType mask;

  double ratio;

  double scale;

  bool deterministic;

  bool rescale;
}; // class Dropout

} // namespace ann
} // namespace mlpack

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

#endif