code: def forward(self, input):
      mu, sigma = self.compute_layernorm_stats(input)
      return (input - mu) / sigma * self.weight + self.bias
  
imports: import numbers
  import warnings
  from collections import namedtuple
  from typing import List, Tuple
  import torch
  import torch.jit
  import torch.nn
  from torch import Tensor
  from torch.nn import Parameter
label_desc: Use image node_id 3 for calling the LayerNorm obj's underlying member method code with example usage: obj.forward(input) and returns: unknown