class_docstr: Unit tests for the ClusteringRegistry class.
class_docstr_tok: ["Unit","tests","for","the","ClusteringRegistry","class","."]
docstr: ClusterRegistry does not support an unknown built-in layer.
docstr_tok: ["ClusterRegistry","does","not","support","an","unknown","built-in","layer","."]
code: def testDoesNotSupportKerasUnsupportedLayer(self):
      """ClusterRegistry does not support an unknown built-in layer."""
      # ConvLSTM2D is a built-in keras layer but not supported.
      l = layers.ConvLSTM2D(2, (5, 5))
      # We need to build weights
      l.build(input_shape=(10, 10))
      self.assertFalse(ClusterRegistry.supports(l))
  
imports: from absl.testing import parameterized
  import tensorflow
  from tensorflow_model_optimization.python.core.clustering.keras import clusterable_layer
  from tensorflow_model_optimization.python.core.clustering.keras import clustering_registry
  from tensorflow_model_optimization.python.core.clustering.keras.cluster_config import GradientAggregation
label_desc: Use image node_id 4 for calling the ClusterRegistryTest obj's underlying member method code with example usage: obj.testDoesNotSupportKerasUnsupportedLayer() without return types