code: def testCreateMultipleMeshes(self):
      a = constant_op.constant([[0, 1], [2, 3]], dtype=dtypes.int32)
      b_expected = math_ops.reduce_sum(a)
  
      mesh_1 = tpu_util.create_tpu_mesh(
          ["x", "y"], [2, 1], "mesh_1", ring_dims=1
      )
      a_1 = numpy_util.pack_numpy(a, Layout(["x", "y"], mesh_1))
      b_1 = math_ops.reduce_sum(a_1)
      self.assertDTensorEqual(
          b_expected, Layout.replicated(mesh_1, rank=0), b_1
      )
  
      mesh_2 = tpu_util.create_tpu_mesh(
          ["x", "y"], [2, 1], "mesh_2", ring_dims=-1
      )
      a_2 = numpy_util.pack_numpy(a, Layout(["x", "y"], mesh_2))
      b_2 = math_ops.reduce_sum(a_2)
      self.assertDTensorEqual(
          b_expected, Layout.replicated(mesh_2, rank=0), b_2
      )
  
imports: from tensorflow.dtensor.python import accelerator_util
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python import numpy_util
  from tensorflow.dtensor.python import tpu_util
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 23 for calling the DeviceAssignmentTest obj's underlying member method code with example usage: obj.testCreateMultipleMeshes() without return types