docstr: Return an output dictionary for every example in the batch
  :param args:
  :param kwargs:
  :return:
docstr_tok: ["Return","an","output","dictionary","for","every","example","in","the","batch",":","param","args",":",":","param","kwargs",":",":","return",":"]
code: def decode(self, *args, **kwargs) -> List[Dict]:
      """
      Return an output dictionary for every example in the batch
      :param args:
      :param kwargs:
      :return:
      """
      raise NotImplementedError
  
file_path: transfer-nlp/transfer_nlp/plugins/predictors.py
imports: import inspect
  import logging
  from itertools import zip_longest
  from typing import Dict, List, Any
  import torch
  from ignite.utils import convert_tensor
  from transfer_nlp.loaders.vectorizers import Vectorizer
label_desc: Use image node_id 5 for calling the PredictorABC obj's underlying member method code with example usage: obj.decode() without return types