code: def _layerNormalization(self, x):
      mean = x.mean(1, keepdim=True).expand_as(x)
      std = x.std(1, keepdim=True).expand_as(x)
      return (x - mean) / (std + self.epsilon)
  
file_path: translate/pytorch_translate/rnn_cell.py
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the LayerNormLSTMCellBackend obj's underlying member method code with example usage: obj._layerNormalization(x) and returns: unknown