hard_tanh.hpp

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#ifndef MLPACK_METHODS_ANN_LAYER_HARD_TANH_HPP
#define MLPACK_METHODS_ANN_LAYER_HARD_TANH_HPP

#include <mlpack/prereqs.hpp>

namespace mlpack {
namespace ann  {

template <
    typename InputDataType = arma::mat,
    typename OutputDataType = arma::mat
>
class HardTanH
{
 public:
  HardTanH(const double maxValue = 1, const double minValue = -1);

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

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

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

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

  double const& MaxValue() const { return maxValue; }
  double& MaxValue() { return maxValue; }

  double const& MinValue() const { return minValue; }
  double& MinValue() { return minValue; }

  template<typename Archive>
  void serialize(Archive& ar, const uint32_t /* version */);

 private:
  OutputDataType delta;

  OutputDataType outputParameter;

  double maxValue;

  double minValue;
}; // class HardTanH

} // namespace ann
} // namespace mlpack

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

#endif