src/transformers/models/longformer/modeling_tf_longformer.py/TFLongformerForQuestionAnswering/serving_output
class TFLongformerForQuestionAnswering:    def serving_output(self, output):
        hs = tf.convert_to_tensor(output.hidden_states) if self.config.output_hidden_states else None
        attns = tf.convert_to_tensor(output.attentions) if self.config.output_attentions else None
        g_attns = tf.convert_to_tensor(output.global_attentions) if self.config.output_attentions else None

        return TFLongformerQuestionAnsweringModelOutput(
            start_logits=output.start_logits,
            end_logits=output.end_logits,
            hidden_states=hs,
            attentions=attns,
            global_attentions=g_attns,
        )