code: def get_clusterable_weights(self):
      # Cluster kernel and bias.
      return [("kernel", self.kernel), ("bias", self.bias)]
  
imports: import tensorflow
  from tensorflow_model_optimization.python.core.clustering.keras import cluster
  from tensorflow_model_optimization.python.core.clustering.keras import cluster_config
  from tensorflow_model_optimization.python.core.clustering.keras import clusterable_layer
  from tensorflow_model_optimization.python.core.clustering.keras import clustering_algorithm
label_desc: Use image node_id 1 for calling the MyDenseLayer obj's underlying member method code with example usage: obj.get_clusterable_weights() and returns: list