code: def testStatelessRNGOpsWith2DShardingComparingWithNonDTensor(
      self, op, dtype, op_version
  ):
      shape = [128, 128]
      seed = [123, 321]
      layout = Layout([_MESH_DIM_Y, _MESH_DIM_X], self.mesh)
      local_shape = [128 // 4, 128 // 2]
  
      # Raw rng Ops do not have inputs, so we need to place the Op DTensor device
      # explicitly.
      with ops.device_v2(api.device_name()):
          with api._dtensor_device()._default_layout(layout):
              b = _call_dtensor_op(
                  op=op,
                  seed=seed,
                  shape=shape,
                  dtype=dtype,
                  key=self.key,
                  counter=self.counter,
                  alg=self.alg,
                  minval=self.minval,
                  maxval=self.maxval,
                  op_version=op_version,
                  mesh=self.mesh,
              )
  
      api.check_layout(b, layout)
      b = [tensor.numpy() for tensor in api.unpack(b)]
  
      def device_index_fn(x_cord, y_cord):
          # TODO(bfontain,xiejw): Currently, the device index is x+2y. But it is
          # more natual to use 4x+y for a mesh<x=2, y=4>. Consider to change this
          # once all correctness tests are done.
          return x_cord + 2 * y_cord
  
      for index, device_id in enumerate(_LOCAL_IDS):
          self.assertAllEqual(
              b[index],
              rng_op_spmd(
                  op,
                  device_id,
                  seed,
                  local_shape,
                  dtype,
                  key=self.key,
                  counter=self.counter,
                  alg=self.alg,
                  minval=self.minval,
                  maxval=self.maxval,
                  op_version=op_version,
                  device_index_fn=device_index_fn,
                  is_tpu=self.mesh.device_type().upper() == "TPU",
              ),
          )
  
imports: from absl.testing import parameterized
  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.dtensor.python.tests import test_util_ops
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute.cluster_resolver.tpu import tpu_cluster_resolver
  from tensorflow.python.eager import remote
  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.framework import ops
  from tensorflow.python.ops import gen_bitwise_ops
  from tensorflow.python.ops import gen_stateful_random_ops
  from tensorflow.python.ops import gen_stateless_random_ops_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import device_assignment
label_desc: Use image node_id 7 for calling the DTensorRNGTest obj's underlying member method code with example usage: obj.testStatelessRNGOpsWith2DShardingComparingWithNonDTensor(op, dtype, op_version) and returns: unknown