code: def test_layout_like(self):
      a = constant_op.constant([1, 2, 3, 4], dtype=dtypes.float32)
      a = numpy_util.pack_numpy(a, self.unsharded_layout)
  
      b = constant_op.constant([0, 1, 2, 3], dtype=dtypes.int64)
      b = numpy_util.pack_numpy(b, self.x_layout)
  
      @polymorphic_function.function
      def layout_like_function(i, t):
          i = math_ops.sqrt(i)
          return api.relayout_like(i, t)
  
      # Triggers relayout_like with different dtype.
      dtensor_result = layout_like_function(a, b)
      api.check_layout(dtensor_result, self.x_layout)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import d_variable
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python import numpy_util
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.eager import backprop
  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_nn_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the LayoutPropagationV2Test obj's underlying member method code with example usage: obj.test_layout_like() and returns: api