code: def testRNGReadAndSkip(self):
      replicated_layout = Layout.replicated(self.mesh, 1)
      a = constant_op.constant([1, 2, 3], dtype=dtypes.int64)
      v = variables.Variable(a)
      expected = gen_stateful_random_ops.rng_read_and_skip(
          resource=v.handle,
          alg=1,
          delta=constant_op.constant(1, dtype=dtypes.uint64),
      )
  
      a = numpy_util.pack_numpy(a, replicated_layout)
      v = d_variable.DVariable(a)
      got = gen_stateful_random_ops.rng_read_and_skip(
          resource=v.handle,
          alg=1,
          delta=constant_op.constant(1, dtype=dtypes.uint64),
      )
  
      self.assertDTensorEqual(expected, replicated_layout, got)
  
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 8 for calling the DTensorRNGTest obj's underlying member method code with example usage: obj.testRNGReadAndSkip() without return types