code: def test_unknown():
      inputs = np.random.random((5, 4, 100)).astype("float32")
      test_utils.layer_test(
          NetVLAD,
          kwargs={"num_clusters": 3},
          input_shape=(None, None, 100),
          input_data=inputs,
          expected_output_shape=(None, 3 * 100),
      )
  
imports: import pytest
  import numpy
  from tensorflow_addons.layers.netvlad import NetVLAD
  from tensorflow_addons.utils import test_utils
label_desc: Use image node_id 2 for calling a global function with example usage: test_unknown() without return types