code: def main(unused_argv):
      if FLAGS.enable_eager:
          print("Running in Eager mode.")
          tf.compat.v1.enable_eager_execution()
  
      # the data, shuffled and split between train and test sets
      (x_train, y_train), (x_test, y_test) = load_mnist_dataset()
  
      print("x_train shape:", x_train.shape)
      print(x_train.shape[0], "train samples")
      print(x_test.shape[0], "test samples")
  
      # Build model
      model = build_sequential_model()
      # Train model
      model = train_model(model, x_train, y_train, x_test, y_test)
      # Cluster and fine-tune model
      clustered_model = cluster_model(
          model, x_train, y_train, x_test, y_test
      )
      # Test clustered model (serialize/deserialize, strip clustering)
      test_clustered_model(clustered_model, x_test, y_test)
  
file_path: model-optimization/tensorflow_model_optimization/python/examples/clustering/keras/mnist/mnist_cnn.py
imports: from __future__ import print_function
  import datetime
  import os
  from absl import app
  from absl import flags
  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 clustering_callbacks
label_desc: Use image node_id 6 for calling a global function with example usage: main(unused_argv) without return types