code: def compute_layernorm_stats(self, input):
      mu = input.mean(-1, keepdim=True)
      sigma = input.std(-1, keepdim=True, unbiased=False)
      return mu, sigma
  
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 2 for calling the LayerNorm obj's underlying member method code with example usage: obj.compute_layernorm_stats(input) and returns: mu,  sigma