code: def get_rng_state():
      return {
          "torch": torch.get_rng_state(),
          "random": random.getstate(),
          "numpy": np.random.get_state(),
      }
  
imports: import functools
  import math
  import numbers
  import random
  import sys
  import timeit
  import warnings
  from collections import defaultdict
  from contextlib import contextmanager
  from itertools import zip_longest
  import numpy
  import torch
  from pyro.poutine.util import site_is_subsample
label_desc: Use image node_id 2 for calling a global function with example usage: get_rng_state() and returns: dict