All losses are reduced to sum instead of mean (to give consistent values regardless of batch size)

torch_modules/src/LossFunction.cpp

@@ -6,9 +6,9 @@ void LossFunction::init(std::string name)
   this->name = name;
 
   if (util::lower(name) == "crossentropy")
-    fct = torch::nn::CrossEntropyLoss(torch::nn::CrossEntropyLossOptions().reduction(torch::kMean));
+    fct = torch::nn::CrossEntropyLoss(torch::nn::CrossEntropyLossOptions().reduction(torch::kSum));
   else if (util::lower(name) == "bce")
-    fct = torch::nn::BCELoss(torch::nn::BCELossOptions().reduction(torch::kMean));
+    fct = torch::nn::BCELoss(torch::nn::BCELossOptions().reduction(torch::kSum));
   else if (util::lower(name) == "mse")
     fct = torch::nn::MSELoss(torch::nn::MSELossOptions().reduction(torch::kSum));
   else if (util::lower(name) == "l1")