code: def jit_iter(tensor):
      """
      Iterate over a tensor, ignoring jit warnings.
      """
      # The "Iterating over a tensor" warning is erroneously a RuntimeWarning
      # so we use a custom filter here.
      with warnings.catch_warnings():
          warnings.filterwarnings("ignore", "Iterating over a tensor")
          warnings.filterwarnings(
              "ignore", category=torch.jit.TracerWarning
          )
          return list(tensor)
  
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 16 for calling a global function with example usage: jit_iter(tensor) and returns: list