code: def __init__(self, sigma=0.1, is_relative_detach=False):
      super().__init__()
      self.sigma = sigma
      self.is_relative_detach = is_relative_detach
      self.noise = torch.tensor(0, dtype=torch.float)
  
imports: from collections import OrderedDict
  import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new GaussianNoise object from inherited base classes: nn with example: obj = GaussianNoise(sigma, is_relative_detach)