flexible_relu.hpp

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#ifndef MLPACK_METHODS_ANN_LAYER_FLEXIBLERELU_HPP
#define MLPACK_METHODS_ANN_LAYER_FLEXIBLERELU_HPP

#include <mlpack/prereqs.hpp>

namespace mlpack {
namespace ann  {

template <
    typename InputDataType = arma::mat,
    typename OutputDataType = arma::mat
>
class FlexibleReLU
{
 public:
  FlexibleReLU(const double alpha = 0);

  void Reset();

  template<typename InputType, typename OutputType>
  void Forward(const InputType&& input, OutputType&& output);

  template<typename DataType>
  void Backward(const DataType&& input, DataType&& gy, DataType&& g);

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

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

  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; }

  double const& Alpha() const { return alpha; }
  double& Alpha() { return alpha; }

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

 private:
  OutputDataType delta;

  InputDataType inputParameter;

  OutputDataType outputParameter;

  OutputDataType alpha;

  OutputDataType gradient;

  double userAlpha;
}; // class FlexibleReLU

} // namespace ann
} // namespace mlpack

// Include implementation
#include "flexible_relu_impl.hpp"

#endif