code: def __init__(self, epsilon=1e-4, shape=()):
      self.mean = torch.zeros(shape, dtype=torch.float64)
      self.var = torch.ones(shape, dtype=torch.float64)
      self.count = epsilon
  
imports: import copy
  import dataclasses
  import logging
  import torch
  import moolib
label_desc: Use image node_id 1 to create a new RunningMeanStd object from inherited base classes: object with example: obj = RunningMeanStd(epsilon, shape)