class_docstr: Keras custom layer.
  
  Custom layer derived from ClusterableLayer provides implementation
  of the clustering algorithm.
class_docstr_tok: ["Keras","custom","layer",".","Custom","layer","derived","from","ClusterableLayer","provides","implementation","of","the","clustering","algorithm","."]
code: def get_clusterable_weights(self):
      return [("w", self.w)]
  
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 KerasCustomLayerClusterableInvalid obj's underlying member method code with example usage: obj.get_clusterable_weights() and returns: list