empty_loss_impl.hpp

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#ifndef MLPACK_METHODS_ANN_LOSS_FUNCTIONS_EMPTY_LOSS_IMPL_HPP
#define MLPACK_METHODS_ANN_LOSS_FUNCTIONS_EMPTY_LOSS_IMPL_HPP

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

namespace mlpack {
namespace ann  {

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

template<typename InputDataType, typename OutputDataType>
template<typename PredictionType, typename TargetType>
double EmptyLoss<InputDataType, OutputDataType>::Forward(
    const PredictionType& /* prediction */, const TargetType& /* target */)
{
  return 0;
}

template<typename InputDataType, typename OutputDataType>
template<typename PredictionType, typename TargetType, typename LossType>
void EmptyLoss<InputDataType, OutputDataType>::Backward(
    const PredictionType& /* prediction */,
    const TargetType& target,
    LossType& loss)
{
  loss = target;
}

} // namespace ann
} // namespace mlpack

#endif