code: def test_layout_prop_v2_while(self):
      a = constant_op.constant([0, 1, 2, 1], dtype=dtypes.float32)
      num_iterations = 10
  
      @polymorphic_function.function
      def function_with_while(t):
          for _ in math_ops.range(num_iterations):
              random_number = (
                  stateless_random_ops.stateless_random_normal(
                      shape=[4], seed=[1, 2], dtype=dtypes.float32
                  )
              )
              t = t + random_number
          return t
  
      golden_result = function_with_while(a)
  
      a = numpy_util.pack_numpy(a, self.unsharded_layout)
  
      dtensor_result = function_with_while(a)
  
      self.assertDTensorEqual(
          golden_result, self.unsharded_layout, dtensor_result
      )
  
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 3 for calling the LayoutPropagationV2Test obj's underlying member method code with example usage: obj.test_layout_prop_v2_while() and returns: t