class_docstr: Calculates the mean squared error of a tensor
class_docstr_tok: ["Calculates","the","mean","squared","error","of","a","tensor"]
code: def get(self) -> Optional[Tensor]:
      if self.mse is None and self.prev_mean is not None:
          return torch.zeros_like(self.prev_mean)
      return self.mse
  
imports: from typing import Any, Callable, List, Optional, TYPE_CHECKING
  import torch
  from torch import Tensor
label_desc: Use image node_id 3 for calling the MSE obj's underlying member method code with example usage: obj.get() and returns: self, torch