code: def lnlstm(
      input_tensor,
      mask_tensor,
      cell_state,
      scope,
      n_hidden,
      init_scale=1.0,
  ):
      """
      Creates a LSTM with Layer Normalization (lnlstm) cell for TensorFlow
  
      :param input_tensor: (TensorFlow Tensor) The input tensor for the LSTM cell
      :param mask_tensor: (TensorFlow Tensor) The mask tensor for the LSTM cell
      :param cell_state: (TensorFlow Tensor) The state tensor for the LSTM cell
      :param scope: (str) The TensorFlow variable scope
      :param n_hidden: (int) The number of hidden neurons
      :param init_scale: (int) The initialization scale
      :return: (TensorFlow Tensor) lnlstm cell
      """
      return lstm(
          input_tensor,
          mask_tensor,
          cell_state,
          scope,
          n_hidden,
          init_scale,
          layer_norm=True,
      )
  
file_path: stable-baselines/stable_baselines/common/tf_layers.py
imports: import numpy
  import tensorflow
label_desc: Use image node_id 7 for calling a global function with example usage: lnlstm(input_tensor, mask_tensor, cell_state, scope, n_hidden, init_scale) and returns: lstm