code: def maybe_merge_call(fn, strategy, *args, **kwargs):
      """Maybe invoke `fn` via `merge_call` which may or may not be fulfilled.
  
      The caller of this utility function requests to invoke `fn` via `merge_call`
      at `tf.distribute.Strategy`'s best efforts. It is `tf.distribute`'s internal
      whether the request is honored, depending on the `Strategy`. See
      `tf.distribute.ReplicaContext.merge_call()` for more information.
  
      This is an interim API which is subject to removal and does not guarantee
      backward-compatibility.
  
      Args:
        fn: the function to be invoked.
        strategy: the `tf.distribute.Strategy` to call `fn` with.
        *args: the positional arguments to be passed in to `fn`.
        **kwargs: the keyword arguments to be passed in to `fn`.
  
      Returns:
        The return value of the `fn` call.
      """
      if strategy_supports_no_merge_call():
          return fn(strategy, *args, **kwargs)
      else:
          return distribute_lib.get_replica_context().merge_call(
              fn, args=args, kwargs=kwargs
          )
  
imports: from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 2 for calling a global function with example usage: maybe_merge_call(fn, strategy) and returns: fn, distribute_lib