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Trying do make the backward to work

include/neural_network/activation_loss/activation_softmax_loss_categorical_crossentropy.hpp

@@ -92,7 +92,7 @@ struct activation_softmax_loss_categorical_crossentropy: loss{
      * @param y_true Vector of true label of data.
      * 
      */
-     bool forward(const panic::tensor::real_matrix& y_pred, const panic::tensor::uint_vector& y_true);
+     bool calculate(const panic::tensor::real_matrix& y_pred, const panic::tensor::uint_vector& y_true) override;
 
     /**
      * @brief forward function to calculate losses
@@ -103,7 +103,7 @@ struct activation_softmax_loss_categorical_crossentropy: loss{
      * @Note Overloaded if one-shot endcoded
      *         is used.
      */
-    bool forward(const panic::tensor::real_matrix& y_pred, const panic::tensor::real_matrix& y_true);
+    bool calculate(const panic::tensor::real_matrix& y_pred, const panic::tensor::real_matrix& y_true) override;
 
 
 

include/neural_network/loss/loss.hpp

@@ -73,6 +73,11 @@ struct loss{
      */
     panic::tensor::real_matrix dinputs;
 
+    /**
+     * @brief Matrix for output of loss function
+     */
+    panic::tensor::real_matrix outputs;
+
 
     /**
      * @brief Default de-constructor

include/neural_network/loss/loss_categorical_crossentropy.hpp

@@ -92,7 +92,7 @@ struct loss_categorical_crossentropy: loss{
      */
     bool backward(
         const panic::tensor::real_matrix& dvalues, 
-        const panic::tensor::uint_vector& y_true);
+        const panic::tensor::uint_vector& y_true) override;
 
     /**
      * @brief backward function to calculate from losses
@@ -105,7 +105,7 @@ struct loss_categorical_crossentropy: loss{
      */
     bool backward(
         const panic::tensor::real_matrix& dvalues, 
-        const panic::tensor::real_matrix& y_true);
+        const panic::tensor::real_matrix& y_true) override;
 
 
 };