code: def test_configs_layernorm():
      config = {"layernorm_epsilon": 1e-6}
      cell1 = LayerNormSimpleRNNCell(units=8, **config)
      config1 = cell1.get_config()
      cell2 = LayerNormSimpleRNNCell(**config1)
      config2 = cell2.get_config()
      assert config1 == config2
  
imports: import numpy
  import tensorflow.keras
  from tensorflow_addons.rnn import LayerNormSimpleRNNCell
label_desc: Use image node_id 4 for calling a global function with example usage: test_configs_layernorm() without return types