code: def _deepcopy_model(model):
      model_copy = keras.models.clone_model(model)
      model_copy.set_weights(model.get_weights())
      return model_copy
  
file_path: model-optimization/tensorflow_model_optimization/python/core/clustering/keras/mnist_clustering_test.py
imports: 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
label_desc: Use image node_id 6 for calling a global function with example usage: _deepcopy_model(model) and returns: model_copy