code: def testGetDeviceDictAndCoresWithCPUsAndGPUs(self):
      devices = [
          "/job:tpu_worker/task:0/device:CPU:0",
          "/job:tpu_worker/task:1/device:CPU:0",
          "/job:tpu_worker/task:2/device:CPU:0",
          "/job:tpu_worker/task:3/device:CPU:0",
          "/job:tpu_worker/task:0/device:GPU:1",
          "/job:tpu_worker/task:1/device:GPU:1",
          "/job:tpu_worker/task:2/device:GPU:1",
          "/job:tpu_worker/task:3/device:GPU:1",
      ]
      device_list = [
          session._DeviceAttributes(name, "XLA", 1024, 0)
          for name in devices
      ]
  
      (
          device_dict,
          num_cores,
      ) = resolver.TPUClusterResolver._get_device_dict_and_cores(
          device_list
      )
      self.assertEqual(num_cores, 0)
      self.assertEqual(device_dict, {})
  
imports: import os
  import six
  from six.moves.urllib.error import URLError
  from tensorflow.core.protobuf.tpu import topology_pb2
  from tensorflow.python.client import session
  from tensorflow.python.distribute.cluster_resolver.tpu import tpu_cluster_resolver
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.training import server_lib
  from tensorflow.python.util import compat
label_desc: Use image node_id 25 for calling the TPUClusterResolverTest obj's underlying member method code with example usage: obj.testGetDeviceDictAndCoresWithCPUsAndGPUs() without return types