class_docstr: generated `pooled_video` and `pooled_text`.
class_docstr_tok: ["generated","`","pooled_video","`","and","`","pooled_text","`","."]
code: def _get_pooled_outputs(self, outputs):
      if "pooled_video" in outputs:
          return outputs["pooled_video"], outputs["pooled_text"]
      else:
          raise ValueError("unknown format of outputs.")
  
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 5 for calling the RetrievalPredictor obj's underlying member method code with example usage: obj._get_pooled_outputs(outputs) and returns: outputs,  outputs