code: def call(
      self,
      inp,
      sent_ids,
      tar,
      training,
      enc_padding_mask,
      look_ahead_mask,
      dec_padding_mask,
  ):
      enc_output = self.encoder(
          inp, sent_ids, training, enc_padding_mask
      )
      dec_output, attention_weights = self.decoder(
          tar, enc_output, training, look_ahead_mask, dec_padding_mask
      )
      return dec_output, attention_weights
  
file_path: headliner/headliner/model/bert_model.py
imports: from typing import Tuple
  from transformers import TFBertModel
  from headliner.model.transformer_util import *
label_desc: Use image node_id 2 for calling the Transformer obj's underlying member method code with example usage: obj.call(inp, sent_ids, tar, training, enc_padding_mask, look_ahead_mask, dec_padding_mask) and returns: dec_output,  attention_weights