code: def compute_retr_vid_to_par(video_feat, cap_feat):
      """compute similarity scores video to paragraph"""
      similarity_scores = np.dot(video_feat, cap_feat.T)
      return compute_retrieval_metrics(similarity_scores)
  
imports: import ctypes
  import datetime
  import logging
  import multiprocessing
  import os
  from pathlib import Path
  import random
  import sys
  from typing import Tuple, Dict
  import numpy
  import torch
  import torch.backends.cudnn
  from torch import cuda
  import torch.nn.functional
label_desc: Use image node_id 9 for calling a global function with example usage: compute_retr_vid_to_par(video_feat, cap_feat) and returns: compute_retrieval_metrics