class_docstr: Tests for mesh_util that do not require accelerator initialization.
class_docstr_tok: ["Tests","for","mesh_util","that","do","not","require","accelerator","initialization","."]
code: def test_tpu_2d_mesh_creation_with_device_specs(self):
      self.skipForDeviceType(
          ["CPU", "GPU"], reason="Test is intended for TPUs."
      )
      self.skipForDeviceType(
          ["TPU"],
          reason="Test requires at least 2 cores",
          unless_device_count_equals_to=2,
      )
      devices = test_util.list_local_logical_devices("TPU")
      self.assertLen(devices, 2)
      mesh = mesh_util.create_mesh(
          [("x", 2), ("y", 1)],
          devices=[
              tf_device.DeviceSpec.from_string("/tpu:0"),
              tf_device.DeviceSpec.from_string("/tpu:1"),
          ],
      )
      self.assertEqual(mesh.num_local_devices(), 2)
      self.assertEqual(mesh.size, 2)
      self.assertAllEqual(mesh.dim_names, ["x", "y"])
  
imports: import os
  from unittest import mock
  from absl.testing import parameterized
  from tensorflow.dtensor.python import accelerator_util
  from tensorflow.dtensor.python import config
  from tensorflow.dtensor.python import mesh_util
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import device
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the MeshUtilTest obj's underlying member method code with example usage: obj.test_tpu_2d_mesh_creation_with_device_specs() without return types