code: def test_relayout_equivalent_layouts(self, sharded_layout):
      layouts = [
          self.unsharded_unsharded_layout,
          self.x_unsharded_layout,
          self.unsharded_y_layout,
      ]
      expected_layout = layouts[sharded_layout]
      inputs = constant_op.constant(
          [[0, 1], [2, 1]], dtype=dtypes.float32
      )
      sharded_layout = layout.Layout(
          [_MESH_DIM_X, _MESH_DIM_Y], self.mesh
      )
      inputs = numpy_util.pack_numpy(inputs, sharded_layout)
      output = api.relayout(inputs, expected_layout)
      api.check_layout(output, 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 11 for calling the LayoutPropagationV2Test obj's underlying member method code with example usage: obj.test_relayout_equivalent_layouts(sharded_layout) without return types