code: def test_symbolic_tensor_shape():
      valid_input = tf.keras.layers.Input((None, None, 1))
      updates, indices = tf.nn.max_pool_with_argmax(
          valid_input, ksize=[2, 2], strides=[2, 2], padding="SAME"
      )
      with pytest.raises(ValueError):
          MaxUnpooling2DV2(valid_input.shape)(updates, indices)
  
file_path: addons/tensorflow_addons/layers/tests/max_unpooling_2d_v2_test.py
imports: import numpy
  import pytest
  import tensorflow
  from tensorflow_addons.layers.max_unpooling_2d_v2 import MaxUnpooling2DV2
label_desc: Use image node_id 6 for calling a global function with example usage: test_symbolic_tensor_shape() without return types