code: def test_regularizers_layernorm_rnn():
      embedding_dim = 4
      layer = keras.layers.RNN(
          LayerNormSimpleRNNCell(
              units=5,
              kernel_regularizer=keras.regularizers.l1(0.01),
              recurrent_regularizer=keras.regularizers.l1(0.01),
              bias_regularizer="l2",
              gamma_regularizer="l2",
          ),
          input_shape=(None, embedding_dim),
          return_sequences=False,
      )
      layer.build((None, None, 2))
      assert len(layer.losses) == 4
  
imports: import numpy
  import tensorflow.keras
  from tensorflow_addons.rnn import LayerNormSimpleRNNCell
label_desc: Use image node_id 3 for calling a global function with example usage: test_regularizers_layernorm_rnn() without return types