Added L1 loss and removed mean from regression losses

torch_modules/include/LossFunction.hpp

@@ -10,7 +10,7 @@ class LossFunction
   private :
 
   std::string name{"_undefined_loss_"};
-  std::variant<torch::nn::CrossEntropyLoss, torch::nn::BCELoss, torch::nn::MSELoss, CustomHingeLoss> fct;
+  std::variant<torch::nn::CrossEntropyLoss, torch::nn::BCELoss, torch::nn::MSELoss, CustomHingeLoss, torch::nn::L1Loss> fct;
 
   public :
 

torch_modules/src/LossFunction.cpp

@@ -10,7 +10,9 @@ void LossFunction::init(std::string name)
   else if (util::lower(name) == "bce")
     fct = torch::nn::BCELoss(torch::nn::BCELossOptions().reduction(torch::kMean));
   else if (util::lower(name) == "mse")
-    fct = torch::nn::MSELoss(torch::nn::MSELossOptions().reduction(torch::kMean));
+    fct = torch::nn::MSELoss(torch::nn::MSELossOptions().reduction(torch::kSum));
+  else if (util::lower(name) == "l1")
+    fct = torch::nn::L1Loss(torch::nn::L1LossOptions().reduction(torch::kSum));
   else if (util::lower(name) == "hinge")
     fct = CustomHingeLoss();
   else