docstr: Decode the output of the forward pass
  :param batch:
  :return:
docstr_tok: ["Decode","the","output","of","the","forward","pass",":","param","batch",":",":","return",":"]
code: def predict(self, batch: Dict[str, Any]) -> List[Dict]:
      """
      Decode the output of the forward pass
      :param batch:
      :return:
      """
      forward = self.forward(batch=batch)
      return self.decode(forward)
  
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 6 for calling the PredictorABC obj's underlying member method code with example usage: obj.predict(batch) and returns: self