minor fixes

Signed-off-by: ytl0623 <[email protected]>

Author: ytl0623

monai/losses/unified_focal_loss.py

@@ -79,8 +79,6 @@ def forward(self, y_pred: torch.Tensor, y_true: torch.Tensor) -> torch.Tensor:
         if y_true.shape != y_pred.shape:
             raise ValueError(f"ground truth has different shape ({y_true.shape}) from input ({y_pred.shape})")
 
-        # clip the prediction to avoid NaN
-        y_pred = torch.clamp(y_pred, self.epsilon, 1.0 - self.epsilon)
         axis = list(range(2, len(y_pred.shape)))
 
         # Calculate true positives (tp), false negatives (fn) and false positives (fp)
@@ -117,6 +115,7 @@ class AsymmetricFocalLoss(_Loss):
     Michael Yeung, Computerized Medical Imaging and Graphics
     """
 
+
     def __init__(
         self,
         to_onehot_y: bool = False,