class_docstr: A custom layer that is clusterable.
code: def get_clusterable_weights(self):
      pass
  
imports: import itertools
  import os
  import tempfile
  from absl.testing import parameterized
  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 cluster_wrapper
  from tensorflow_model_optimization.python.core.clustering.keras import clusterable_layer
label_desc: Use image node_id 1 for calling the AlreadyClusterableLayer obj's underlying member method code with example usage: obj.get_clusterable_weights() without return types