code: def update(self, y_pred, y):
      y_pred = (
          y_pred
          if torch.is_tensor(y_pred)
          else torch.from_numpy(y_pred)
      )
      y = y if torch.is_tensor(y) else torch.from_numpy(y)
  
      score = (
          compute_dice(y_pred=y_pred, y=y, include_background=False)
          .mean()
          .item()
      )
      if not math.isnan(score) and score > 0:
          self.data.append(score)
  
imports: import logging
  import math
  import statistics
  from typing import TYPE_CHECKING, Any, Callable, Dict, Optional
  import numpy
  import torch
  import torch.distributed
  from monai.config import IgniteInfo
  from monai.metrics import compute_dice
  from monai.utils import min_version, optional_import
label_desc: Use image node_id 3 for calling the RegionDice obj's underlying member method code with example usage: obj.update(y_pred, y) without return types