code: def embeddings_size(self) -> int:
      if self.projection_dim > 0:
          return self.projection_dim
      return self.bert_model.config.hidden_size
  
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 3 for calling the TFDPREncoderLayer obj's underlying member method code with example usage: obj.embeddings_size() and returns: self, self