code: def test_layout_prop_v2_if_with_different_layouts_for_branches(self):
      unsharded_unsharded = layout.Layout.replicated(self.mesh, rank=2)
      unsharded_y = layout.Layout.inner_sharded(
          self.mesh, _MESH_DIM_Y, rank=2
      )
      x_unsharded = layout.Layout.batch_sharded(
          self.mesh, _MESH_DIM_X, rank=2
      )
      a = np.random.uniform(size=16).reshape([4, 4])
      a = numpy_util.pack_numpy(a, unsharded_unsharded)
  
      @polymorphic_function.function
      def function_with_if(t):
          if math_ops.equal(math_ops.reduce_sum(t), 0):
              t = math_ops.sqrt(t)
              return api.relayout(t, unsharded_y)
          else:
              t = array_ops.zeros_like_v2(a)
              return api.relayout(t, x_unsharded)
  
      dtensor_result = function_with_if(a)
  
      x_y_sharded = layout.Layout([_MESH_DIM_X, _MESH_DIM_Y], self.mesh)
      api.check_layout(dtensor_result, x_y_sharded)
  
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 8 for calling the LayoutPropagationV2Test obj's underlying member method code with example usage: obj.test_layout_prop_v2_if_with_different_layouts_for_branches() and returns: api, api