concat_performance.hpp

Go to the documentation of this file.

#ifndef MLPACK_METHODS_ANN_LAYER_CONCAT_PERFORMANCE_HPP
#define MLPACK_METHODS_ANN_LAYER_CONCAT_PERFORMANCE_HPP

#include <mlpack/prereqs.hpp>

#include "layer_types.hpp"

namespace mlpack {
namespace ann  {

template <
    typename OutputLayerType = NegativeLogLikelihood<>,
    typename InputType = arma::mat,
    typename OutputType = arma::mat
>
class ConcatPerformance : public Layer<InputType, OutputType>
{
 public:
  ConcatPerformance(OutputLayerType&& outputLayer = OutputLayerType());

  /*
   * Computes the Negative log likelihood.
   *
   * @param input Input data used for evaluating the specified function.
   * @param output Resulting output activation.
   */
  void Forward(const InputType& input, OutputType& target);

  void Backward(const InputType& input,
                const OutputType& target,
                OutputType& output);

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

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

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

 private:
  OutputLayerType outputLayer;
}; // class ConcatPerformance

} // namespace ann
} // namespace mlpack

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

#endif