code: def testNoOpAllToAll(self):
      self.skipForDeviceType(
          ["TPU"],
          "This test only needs to run on 2 cores.",
          unless_device_count_equals_to=2,
      )
  
      a = constant_op.constant(
          np.array([[1.0, 2.0, 3.0, 4.0], [5.0, 6.0, 7.0, 8.0]]),
          dtype=dtypes.float32,
      )
      expected_result = a
  
      sharded_a = api.relayout(
          a, self.first_dimension_sharded_layout_2d
      )
      dtensor_result = api.relayout(
          sharded_a, self.fully_replicated_layout_2d
      )
  
      self.assertDTensorEqual(
          expected_result,
          self.fully_replicated_layout_2d,
          dtensor_result,
      )
  
imports: import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import config
  from tensorflow.dtensor.python import d_variable
  from tensorflow.dtensor.python import dtensor_device
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python.tests import test_backend_util
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.eager.polymorphic_function import polymorphic_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the CollectiveTest obj's underlying member method code with example usage: obj.testNoOpAllToAll() without return types