code: def test_partial_relayout_in_function(self):
      sharded_layout = layout.Layout(
          [_MESH_DIM_X, _MESH_DIM_Y], self.mesh
      )
  
      a = np.random.uniform(size=16).reshape([4, 4])
      a = numpy_util.pack_numpy(a, sharded_layout)
      replicated_layout = layout.Layout(
          [layout.MATCH, layout.UNSHARDED], mesh=self.mesh
      )
  
      @polymorphic_function.function
      def func_with_relayout(t):
          out = math_ops.cast(t, dtypes.float32)
          out = math_ops.sqrt(out)
          return api.relayout(out, replicated_layout)
  
      out = func_with_relayout(a)
      expected_layout = layout.Layout(
          [_MESH_DIM_X, layout.UNSHARDED], self.mesh
      )
      api.check_layout(out, expected_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 9 for calling the LayoutPropagationV2Test obj's underlying member method code with example usage: obj.test_partial_relayout_in_function() and returns: api