code: def testCacheWithRNG(self):
      with api._dtensor_device()._default_layout(
          Layout.replicated(self.mesh, rank=1)
      ):
          v0 = gen_stateless_random_ops.stateless_random_normal(
              shape=[1], seed=[1, 2]
          )
  
      with api._dtensor_device()._default_layout(
          Layout.replicated(self.mesh, rank=1)
      ):
          v1 = gen_stateless_random_ops.stateless_random_normal(
              shape=[1], seed=[1, 2]
          )
          v2 = gen_stateless_random_ops.stateless_random_normal(
              shape=[2], seed=[1, 2]
          )
          v3 = gen_stateless_random_ops.stateless_random_normal(
              shape=[1], seed=[3, 4]
          )
  
      # v0 and v1 have same layouts.
      self.assertAllEqual(v0, v1)
      api.check_layout(v0, Layout.replicated(self.mesh, rank=1))
      api.check_layout(v1, Layout.replicated(self.mesh, rank=1))
      # v1 and v2 have different shapes.
      self.assertNotEqual(v1.shape, v2.shape)
      # v1 and v3 have different seeds.
      self.assertNotEqual(v1.numpy(), v3.numpy())
  
imports: import gc
  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.tests import test_util
  from tensorflow.python.eager.polymorphic_function import polymorphic_function
  from tensorflow.python.framework import combinations
  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_stateless_random_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the DTensorDeviceCacheTest obj's underlying member method code with example usage: obj.testCacheWithRNG() without return types