class_docstr: generated `pooled_video` and `pooled_text`.
class_docstr_tok: ["generated","`","pooled_video","`","and","`","pooled_text","`","."]
code: def __call__(self, sample, full_scores):
      scores = self._get_pooled_outputs(sample)
      self._append_scores(scores, full_scores)
  
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 3 for calling the RetrievalPredictor obj's underlying member method code with example usage: obj.__call__(sample, full_scores) without return types