docstr: Tests that the generated numbers are the same as the old random_ops.py.
  
  The GPU version.
code: def testSameAsOldRandomOpsGPU(self):
      """Tests that the generated numbers are the same as the old random_ops.py.
  
      The GPU version.
      """
      floats = [dtypes.float16, dtypes.float32, dtypes.float64]
      if test_util.is_gpu_available(
          cuda_only=True, min_cuda_compute_capability=(8, 0)
      ):
          floats += [dtypes.bfloat16]
      self._sameAsOldRandomOps(test_util.gpu_device_name(), floats)
  
imports: import os
  import re
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.random import util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import gen_stateful_random_ops
  from tensorflow.python.ops import logging_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import stateful_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 25 for calling the StatefulRandomOpsTest obj's underlying member method code with example usage: obj.testSameAsOldRandomOpsGPU() without return types