code: def qa(answer, example=None, is_target=False):
      """Returns answer, or all answers if the full example is provided."""
      if is_target:
          return [tf.compat.as_text(a) for a in example["answers"]]
      return answer
  
file_path: text-to-text-transfer-transformer/t5/data/postprocessors.py
imports: import tensorflow.compat.v2
label_desc: Use image node_id 6 for calling a global function with example usage: qa(answer, example, is_target) and returns: answer, unknown