code: def test_build():
      cell = LayerNormLSTMCell(10, name="layer_norm_lstm_cell")
      cell(
          inputs=tf.ones((12, 20)),
          states=cell.get_initial_state(
              batch_size=12, dtype=tf.float32
          ),
      )
      assert len(cell.weights) == 9
      assert cell.weights[0].name == "layer_norm_lstm_cell/kernel:0"
      assert (
          cell.weights[1].name
          == "layer_norm_lstm_cell/recurrent_kernel:0"
      )
      assert cell.weights[2].name == "layer_norm_lstm_cell/bias:0"
      assert (
          cell.weights[3].name
          == "layer_norm_lstm_cell/kernel_norm/gamma:0"
      )
      assert (
          cell.weights[4].name
          == "layer_norm_lstm_cell/kernel_norm/beta:0"
      )
      assert (
          cell.weights[5].name
          == "layer_norm_lstm_cell/recurrent_norm/gamma:0"
      )
      assert (
          cell.weights[6].name
          == "layer_norm_lstm_cell/recurrent_norm/beta:0"
      )
      assert (
          cell.weights[7].name
          == "layer_norm_lstm_cell/state_norm/gamma:0"
      )
      assert (
          cell.weights[8].name
          == "layer_norm_lstm_cell/state_norm/beta:0"
      )
  
file_path: addons/tensorflow_addons/rnn/tests/layer_norm_lstm_cell_test.py
imports: import pytest
  from packaging.version import Version
  import numpy
  import tensorflow
  import tensorflow.keras
  from tensorflow_addons.rnn import LayerNormLSTMCell
label_desc: Use image node_id 4 for calling a global function with example usage: test_build() without return types