code: def testNoCSE(self):
      for use_gpu in [False, True]:
          with self.session(use_gpu=use_gpu):
              shape = [2, 3, 4]
              rnd1 = random_ops.random_normal(
                  shape, 0.0, 1.0, dtypes.float32
              )
              rnd2 = random_ops.random_normal(
                  shape, 0.0, 1.0, dtypes.float32
              )
              diff = rnd2 - rnd1
              self.assertTrue(np.linalg.norm(diff.eval()) > 0.1)
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the RandomNormalTest obj's underlying member method code with example usage: obj.testNoCSE() without return types