docstr: Demonstrates set_global_generator does not affect compiled tf.function.
code: def testSetGlobalGeneratorBadWithDefun(self):
      """Demonstrates set_global_generator does not affect compiled tf.function."""
      shape = (3,)
  
      @def_function.function
      def f():
          return random.get_global_generator().normal(shape)
  
      random.set_global_generator(random.Generator.from_seed(50))
      samples = f()
      # Resetting global generator has no effect to the compiled tf.function.
      random.set_global_generator(random.Generator.from_seed(50))
      # New samples are returned.
      self.assertNotAllEqual(samples, f())
  
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 33 for calling the StatefulRandomOpsTest obj's underlying member method code with example usage: obj.testSetGlobalGeneratorBadWithDefun() and returns: random