code: 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
      )
  
      return TFDPRQuestionEncoderOutput(
          pooler_output=output.pooler_output,
          hidden_states=hs,
          attentions=attns,
      )
  
imports: from dataclasses import dataclass
  from typing import Optional, Tuple, Union
  import tensorflow
  from ...modeling_tf_outputs import TFBaseModelOutputWithPooling
  from ...modeling_tf_utils import TFPreTrainedModel, get_initializer, shape_list, unpack_inputs
  from ...utils import ModelOutput, add_start_docstrings, add_start_docstrings_to_model_forward, logging, replace_return_docstrings
  from ..bert.modeling_tf_bert import TFBertMainLayer
  from .configuration_dpr import DPRConfig
label_desc: Use image node_id 4 for calling the TFDPRQuestionEncoder obj's underlying member method code with example usage: obj.serving_output(output) and returns: TFDPRQuestionEncoderOutput