concatenate_impl.hpp

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#ifndef MLPACK_METHODS_ANN_LAYER_CONCATENATE_IMPL_HPP
#define MLPACK_METHODS_ANN_LAYER_CONCATENATE_IMPL_HPP

// In case it hasn't yet been included.
#include "concatenate.hpp"

namespace mlpack {
namespace ann  {

template<typename InputDataType, typename OutputDataType>
Concatenate<InputDataType, OutputDataType>::Concatenate() :
    inRows(0)
{
  // Nothing to do here.
}

template<typename InputDataType, typename OutputDataType>
Concatenate<InputDataType, OutputDataType>::Concatenate(
    const Concatenate& layer) :
    inRows(layer.inRows),
    weights(layer.weights),
    delta(layer.delta),
    concat(layer.concat)
{
  // Nothing to to here.
}

template<typename InputDataType, typename OutputDataType>
Concatenate<InputDataType, OutputDataType>::Concatenate(Concatenate&& layer) :
    inRows(layer.inRows),
    weights(std::move(layer.weights)),
    delta(std::move(layer.delta)),
    concat(std::move(layer.concat))
{
  // Nothing to do here.
}

template<typename InputDataType, typename OutputDataType>
Concatenate<InputDataType, OutputDataType>&
Concatenate<InputDataType, OutputDataType>::
operator=(const Concatenate& layer)
{
  if (this != &layer)
  {
    inRows = layer.inRows;
    weights = layer.weights;
    delta = layer.delta;
    concat = layer.concat;
  }

  return *this;
}

template<typename InputDataType, typename OutputDataType>
Concatenate<InputDataType, OutputDataType>&
Concatenate<InputDataType, OutputDataType>::
operator=(Concatenate&& layer)
{
  if (this != &layer)
  {
    inRows = layer.inRows;
    weights = std::move(layer.weights);
    delta = std::move(layer.delta);
    concat = std::move(layer.concat);
  }
  return *this;
}

template<typename InputDataType, typename OutputDataType>
template<typename eT>
void Concatenate<InputDataType, OutputDataType>::Forward(
    const arma::Mat<eT>& input, arma::Mat<eT>& output)
{
  if (concat.is_empty())
    Log::Warn << "The concat matrix has not been provided." << std::endl;

  if (input.n_cols != concat.n_cols)
  {
    Log::Fatal << "The number of columns of the concat matrix should be equal "
        << "to the number of columns of input matrix." << std::endl;
  }

  inRows = input.n_rows;
  output = arma::join_cols(input, concat);
}

template<typename InputDataType, typename OutputDataType>
template<typename eT>
void Concatenate<InputDataType, OutputDataType>::Backward(
    const arma::Mat<eT>& /* input */,
    const arma::Mat<eT>& gy,
    arma::Mat<eT>& g)
{
  g = gy.submat(0, 0, inRows - 1, concat.n_cols - 1);
}

} // namespace ann
} // namespace mlpack

#endif