code: def get_attention_weights(self):
      return_batch, uttid_list = self.transform(
          self.data, return_uttid=True
      )
      batch = self.converter([return_batch], self.device)
      if isinstance(batch, tuple):
          att_ws = self.att_vis_fn(*batch)
      elif isinstance(batch, dict):
          att_ws = self.att_vis_fn(**batch)
      return att_ws, uttid_list
  
file_path: espnet/espnet/nets/pytorch_backend/transformer/plot.py
imports: import logging
  import os
  import numpy
  from espnet.asr import asr_utils
label_desc: Use image node_id 3 for calling the PlotAttentionReport obj's underlying member method code with example usage: obj.get_attention_weights() and returns: att_ws,  uttid_list