code: def __init__(self, input_dim, hidden_dim, bias=True, epsilon=0.00001):
      super(LayerNormLSTMCellBackend, self).__init__(
          input_dim, hidden_dim, bias
      )
      self.epsilon = 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 1 to create a new LayerNormLSTMCellBackend object from inherited base classes: nn with example: obj = LayerNormLSTMCellBackend(input_dim, hidden_dim, bias, epsilon)