class_docstr: The standard deviation, with an associated order.
class_docstr_tok: ["The","standard","deviation",",","with","an","associated","order","."]
code: def get(self) -> Optional[Tensor]:
      var = self.var.get()
      return var**0.5 if var is not None else None
  
imports: from typing import Any, Callable, List, Optional, TYPE_CHECKING
  import torch
  from torch import Tensor
label_desc: Use image node_id 4 for calling the StdDev obj's underlying member method code with example usage: obj.get() and returns: unknown