code: def __init__(self, config: DPRConfig, *args, **kwargs):
      super().__init__(config, *args, **kwargs)
      self.span_predictor = TFDPRSpanPredictorLayer(
          config, name="span_predictor"
      )
  
imports: from __future__ import annotations
  from dataclasses import dataclass
  from typing import Tuple, Union
  import tensorflow
  from ...modeling_tf_outputs import TFBaseModelOutputWithPooling
  from ...modeling_tf_utils import TFModelInputType, 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 1 to create a new TFDPRReader object from inherited base classes: TFDPRPretrainedReader with example: obj = TFDPRReader(config)