class_docstr: Unit tests for the ClusteringRegistry class.
class_docstr_tok: ["Unit","tests","for","the","ClusteringRegistry","class","."]
docstr: ClusterRegistry should support the expected built-in RNN layers.
docstr_tok: ["ClusterRegistry","should","support","the","expected","built-in","RNN","layers","."]
code: def testSupportsKerasRNNLayers(self):
      """ClusterRegistry should support the expected built-in RNN layers."""
      self.assertTrue(ClusterRegistry.supports(layers.LSTM(10)))
      self.assertTrue(ClusterRegistry.supports(layers.GRU(10)))
      self.assertTrue(ClusterRegistry.supports(layers.SimpleRNN(10)))
  
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 5 for calling the ClusterRegistryTest obj's underlying member method code with example usage: obj.testSupportsKerasRNNLayers() without return types