code: def __init__(
      self,
      clusters_centroids,
      cluster_gradient_aggregation=GradientAggregation.SUM,
  ):
      self.cluster_centroids = clusters_centroids
      self.cluster_gradient_aggregation = cluster_gradient_aggregation
  
file_path: model-optimization/tensorflow_model_optimization/python/core/common/keras/compression/algorithms/weight_clustering.py
imports: from typing import List
  import tensorflow
  from tensorflow_model_optimization.python.core.clustering.keras import clustering_centroids
  from tensorflow_model_optimization.python.core.clustering.keras import clustering_registry
  from tensorflow_model_optimization.python.core.clustering.keras.cluster_config import GradientAggregation
  from tensorflow_model_optimization.python.core.common.keras.compression import algorithm
label_desc: Use image node_id 1 to create a new ConvolutionalWeightsCA object from inherited base classes: clustering_registry with example: obj = ConvolutionalWeightsCA(clusters_centroids, cluster_gradient_aggregation)