code: def experimental_run_functions_eagerly(run_eagerly):
      """Enables / disables eager execution of `tf.function`s.
  
      Calling `tf.config.experimental_run_functions_eagerly(True)` will make all
      invocations of `tf.function` run eagerly instead of running as a traced graph
      function.
  
      See `tf.config.run_functions_eagerly` for an example.
  
      Note: This flag has no effect on functions passed into tf.data transformations
      as arguments. tf.data functions are never executed eagerly and are always
      executed as a compiled Tensorflow Graph.
  
      Args:
        run_eagerly: Boolean. Whether to run functions eagerly.
  
      Returns:
        None
      """
      return run_functions_eagerly(run_eagerly)
  
imports: from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 3 for calling a global function with example usage: experimental_run_functions_eagerly(run_eagerly) and returns: run_functions_eagerly