mae/mse loss

enhancer/utils/loss.py

@@ -0,0 +1,28 @@
+import torch
+import torch.nn as nn
+
+
+class mean_squared_error(nn.Module):
+
+    def __init__(self,reduction="mean"):
+        super().__init__()
+
+        self.loss_fun = nn.MSELoss(reduction=reduction)
+
+    def forward(self,prediction:torch.Tensor, target: torch.Tensor):
+
+        return self.loss_fun(prediction, target)
+
+class mean_absolute_error(nn.Module):
+
+    def __init__(self,reduction="mean"):
+
+        self.loss_fun = nn.L1Loss(reduction=reduction)
+
+    def forward(self, prediction:torch.Tensor, target: torch.Tensor):
+
+        return self.loss_fun(prediction, target)
+        
+LOSS_MAP = {"mea":mean_absolute_error, "mse": mean_squared_error}
+
+