class_docstr: Unit tests for the ClusteringRegistry class.
class_docstr_tok: ["Unit","tests","for","the","ClusteringRegistry","class","."]
docstr: ClusterRegistry should support a built-in non-clusterable layer.
docstr_tok: ["ClusterRegistry","should","support","a","built-in","non-clusterable","layer","."]
code: def testSupportsKerasNonClusterableLayer(self):
      """ClusterRegistry should support a built-in non-clusterable layer."""
      # Dropout is a layer known to not be clusterable.
      self.assertTrue(ClusterRegistry.supports(layers.Dropout(0.5)))
  
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 3 for calling the ClusterRegistryTest obj's underlying member method code with example usage: obj.testSupportsKerasNonClusterableLayer() without return types