code: def testNoCSE(self):
      with self.session():
          shape = [2, 3, 4]
          rnd1 = random_ops.truncated_normal(
              shape, 0.0, 1.0, dtypes.float32
          )
          rnd2 = random_ops.truncated_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 8 for calling the TruncatedNormalTest obj's underlying member method code with example usage: obj.testNoCSE() without return types