class_docstr: This wrapper augments a RNN layer so that the weights can be clustered.
  
  The weight_name of a single cell in RNN layers is marked with an index in
  registry. In the wrapper layer, the index needs to be removed for matching
  the attribute of the cell layer.
code: def get_weight_name_without_index(self, weight_name):
      weight_name_with_index = weight_name.split("/")
      return weight_name_with_index[0], int(weight_name_with_index[1])
  
imports: import operator
  import tensorflow
  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_centroids
  from tensorflow_model_optimization.python.core.clustering.keras import clustering_registry
label_desc: Use image node_id 1 for calling the ClusterWeightsRNN obj's underlying member method code with example usage: obj.get_weight_name_without_index(weight_name) and returns: weight_name_with_index,  int