concatenate.hpp

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#ifndef MLPACK_METHODS_ANN_LAYER_CONCATENATE_HPP
#define MLPACK_METHODS_ANN_LAYER_CONCATENATE_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 Concatenate
{
 public:
  Concatenate();

  Concatenate(const Concatenate& layer);

  Concatenate(Concatenate&& layer);

  Concatenate& operator=(const Concatenate& layer);

  Concatenate& operator=(Concatenate&& layer);

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

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

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

  OutputDataType const& Concat() const { return concat; }
  OutputDataType& Concat() { return concat; }

  template<typename Archive>
  void serialize(Archive& /* ar */, const uint32_t /* version */)
  {
    // Nothing to do here.
  }

 private:
  size_t inRows;

  OutputDataType weights;

  OutputDataType delta;

  OutputDataType outputParameter;

  OutputDataType concat;
}; // class Concatenate

} // namespace ann
} // namespace mlpack

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

#endif