code: def get_rng_state():
      state = {"torch_rng_state": torch.get_rng_state()}
      if torch.cuda.is_available():
          state["cuda_rng_state"] = torch.cuda.get_rng_state()
      return 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 16 for calling a global function with example usage: get_rng_state() and returns: state