code: def _simple_device(var: tf.Variable) -> str:
      device = tf.DeviceSpec.from_string(var.device)
      if (
          device.job == "localhost"
          and device.replica == 0
          and device.task == 0
      ):
          if device.device_index == 0:
              return device.device_type
          else:
              return "{} {}".format(
                  device.device_type, device.device_index
              )
      return device
  
imports: import collections.abc
  import functools
  import inspect
  import re
  import threading
  from typing import Any, Callable, Dict, Generic, Optional, Sequence, Tuple, TypeVar, Union
  from absl import logging
  from sonnet.src import initializers
  import tabulate
  import tensorflow
label_desc: Use image node_id 11 for calling a global function with example usage: _simple_device(var) and returns: device, device, str