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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def frozen_default_graph_def(input_node_names, output_node_names):
 """Return frozen and simplified graph_def of default graph."""


  sess = tf.get_default_session()
  input_graph_def = tf.get_default_graph().as_graph_def()

  pruned_graph = tf.graph_util.remove_training_nodes(
      input_graph_def, protected_nodes=(output_node_names + input_node_names)
  )
  pruned_graph = tf.graph_util.extract_sub_graph(pruned_graph, output_node_names)

  # remove explicit device assignments
  for node in pruned_graph.node:
      node.device = ""

  all_variable_names = [v.op.name for v in tf.global_variables()]
  output_graph_def = tf.graph_util.convert_variables_to_constants(
      sess=sess,
      input_graph_def=pruned_graph,
      output_node_names=output_node_names,
      variable_names_whitelist=all_variable_names,
  )

  return output_graph_def