class_docstr: this base class is used to save predictions to disk
  (and being called by a evaluator later).
  Predictor has minimum support of single gpu prediction.
class_docstr_tok: ["this","base","class","is","used","to","save","predictions","to","disk","(","and","being","called","by","a","evaluator","later",")",".","Predictor","has","minimum","support","of","single","gpu","prediction","."]
docstr: extract the prediction and save it.
docstr_tok: ["extract","the","prediction","and","save","it","."]
code: def __call__(self, outputs):
      """extract the prediction and save it."""
      raise NotImplementedError
  
imports: import os
  import random
  import json
  import numpy
  import torch
  import pickle
  import math
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling the Predictor obj's underlying member method code with example usage: obj.__call__(outputs) without return types