code: def _prepare_args(x):
      """Converts `x` to a batched dimension if necessary."""
      if len(x.shape) == 1:
          return tf.expand_dims(x, axis=0), False
  
      return x, True
  
imports: import tensorflow.compat.v2
label_desc: Use image node_id 3 for calling a global function with example usage: _prepare_args(x) and returns: x,  True, tf,  False