refactor: Remove dead compute_channel method from DiceHelper

No longer called after vectorization of __call__().

Signed-off-by: Soumya Snigdha Kundu <soumya_snigdha.kundu@kcl.ac.uk>

Author: aymuos15

monai/metrics/meandice.py

@@ -278,25 +278,6 @@ def __init__(
         self.ignore_empty = ignore_empty
         self.num_classes = num_classes
 
-    def compute_channel(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
-        """
-        Compute the dice metric for binary inputs which have only spatial dimensions. This method is called separately
-        for each batch item and for each channel of those items.
-
-        Args:
-            y_pred: input predictions with shape HW[D].
-            y: ground truth with shape HW[D].
-        """
-        y_o = torch.sum(y)
-        if y_o > 0:
-            return (2.0 * torch.sum(torch.masked_select(y, y_pred))) / (y_o + torch.sum(y_pred))
-        if self.ignore_empty:
-            return torch.tensor(float("nan"), device=y_o.device)
-        denorm = y_o + torch.sum(y_pred)
-        if denorm <= 0:
-            return torch.tensor(1.0, device=y_o.device)
-        return torch.tensor(0.0, device=y_o.device)
-
     def __call__(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor | tuple[torch.Tensor, torch.Tensor]:
         """
         Compute the metric for the given prediction and ground truth.