code: def set_rng_state(state):
      torch.set_rng_state(state["torch_rng_state"])
      if torch.cuda.is_available():
          torch.cuda.set_rng_state(state["cuda_rng_state"])
  
imports: import collections
  import collections.abc
  import logging
  import os
  import random
  import sys
  import tempfile
  import time
  from functools import partial, wraps
  from typing import Tuple
  import numpy
  import pkg_resources
  import torch
  import torch.multiprocessing
  from iopath.common.file_io import g_pathmgr
  from scipy.sparse import csr_matrix
  from vissl.utils.extract_features_utils import ExtractedFeaturesLoader
label_desc: Use image node_id 17 for calling a global function with example usage: set_rng_state(state) without return types