code: def collect_feats(self, **batch: torch.Tensor):
      return {}
  
imports: from collections import defaultdict
  import numpy
  import pytest
  import torch
  from espnet2.asr.decoder.rnn_decoder import RNNDecoder
  from espnet2.main_funcs.calculate_all_attentions import calculate_all_attentions
  from espnet2.train.abs_espnet_model import AbsESPnetModel
  from espnet.nets.pytorch_backend.rnn.attentions import AttAdd
  from espnet.nets.pytorch_backend.transformer.attention import MultiHeadedAttention
label_desc: Use image node_id 3 for calling the Dummy obj's underlying member method code with example usage: obj.collect_feats() and returns: dict