code: def get_running_threads():
      """Returns a set of all running thread names."""
      running_threads = set()
      for thread in threading.enumerate():
          if thread.name is not None:
              running_threads.add(thread.name)
      return running_threads
  
imports: import collections
  import dataclasses
  import functools
  import io
  import itertools
  import threading
  from absl import app
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.distribute import collective_all_reduce_strategy
  from tensorflow.python.distribute import multi_process_runner
  from tensorflow.python.distribute import multi_worker_test_base
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute import values
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.util import nest
label_desc: Use image node_id 11 for calling a global function with example usage: get_running_threads() and returns: running_threads