code: def testCreateGeneratorFromSymbolic(self):
      g = [None, None, None]  # using list as mutable cells
  
      @def_function.function
      def f(scalar, vector2, vector3):
          if g[0] is None:  # avoid creating variable in 2nd trace
              g[0] = random.Generator.from_seed(scalar)
              g[0].reset_from_seed(scalar)  # also test reset
              g[1] = random.Generator.from_state(
                  vector3, random.RNG_ALG_PHILOX
              )
              g[1].reset(vector3)
              g[2] = random.Generator.from_key_counter(
                  scalar, vector2, random.RNG_ALG_PHILOX
              )
              g[2].reset_from_key_counter(scalar, vector2)
          return [g[i].normal([]) for i in range(3)]
  
      args = (1, [2, 2], [3, 3, 3])
      args = [constant_op.constant(v) for v in args]
      f(*args)
  
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 12 for calling the StatefulRandomOpsTest obj's underlying member method code with example usage: obj.testCreateGeneratorFromSymbolic() and returns: unknown