code: def test_attention_wrapper_with_multiple_attention_mechanisms():
      cell = tf.keras.layers.LSTMCell(5)
      mechanisms = [
          wrapper.LuongAttention(units=3),
          wrapper.LuongAttention(units=3),
      ]
      # We simply test that the wrapper creation makes no error.
      wrapper.AttentionWrapper(
          cell, mechanisms, attention_layer_size=[4, 5]
      )
      wrapper.AttentionWrapper(
          cell,
          mechanisms,
          attention_layer=[
              tf.keras.layers.Dense(4),
              tf.keras.layers.Dense(5),
          ],
      )
  
imports: import collections
  from packaging.version import Version
  import pytest
  import numpy
  import tensorflow
  from tensorflow_addons.seq2seq import attention_wrapper
  from tensorflow_addons.seq2seq import basic_decoder
  from tensorflow_addons.seq2seq import sampler
label_desc: Use image node_id 28 for calling a global function with example usage: test_attention_wrapper_with_multiple_attention_mechanisms() without return types