code: def xla_device():
      devices = device_lib.list_local_devices()
  
      def find_type(device_type):
          for d in devices:
              if d.device_type == device_type:
                  return d
          return None
  
      d = (
          find_type("TPU")
          or find_type("XLA_GPU")
          or find_type("XLA_CPU")
      )
      if d is None:
          raise ValueError(
              "Can't find any XLA device. Available devices:\n%s"
              % devices
          )
      return d
  
imports: import itertools
  import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.client import device_lib
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.random import util
  from tensorflow.python.ops import gen_stateful_random_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import stateful_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import flags
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling a global function with example usage: xla_device() and returns: d, None, d