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Flux/include/modules/neural_networks/loss/Loss.h
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#pragma once
#include "./core/omp_config.h"
#include "./utils/vector.h"
#include "./utils/matrix.h"
#include "./numerics/vecmean.h"
namespace neural_networks{
template <typename Td, typename Ti>
struct Loss{
utils::Vector<Td> sample_losses;
utils::Matrix<Td> dinputs;
Td data_loss;
virtual utils::Vector<Td> forward(const utils::Matrix<Td>& output, const utils::Matrix<Ti>& y) = 0;
virtual void backward(const utils::Matrix<Td>& dvalues, const utils::Matrix<Ti>& y) = 0;
Td calculate(const utils::Matrix<Td>& output, const utils::Matrix<Ti>& y){
// Calculate sample losses
sample_losses = forward(output, y);
// Calculate mean loss
data_loss = numerics::vecmean(sample_losses);
return data_loss;
}
};
} // end namespace neural_networks