class_docstr: Unit tests for the ClusteringRegistry class.
class_docstr_tok: ["Unit","tests","for","the","ClusteringRegistry","class","."]
docstr: lusterRegistry should support a built-in clusterable layer alias.
docstr_tok: ["lusterRegistry","should","support","a","built-in","clusterable","layer","alias","."]
code: def testSupportsKerasClusterableLayerAlias(self):
      """lusterRegistry should support a built-in clusterable layer alias."""
      # layers.Conv2D maps to layers.convolutional.Conv2D
      self.assertTrue(ClusterRegistry.supports(layers.Conv2D(10, 5)))
  
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 2 for calling the ClusterRegistryTest obj's underlying member method code with example usage: obj.testSupportsKerasClusterableLayerAlias() without return types