code: def testNoCSE(self):
      shape = [2, 3, 4]
      for dtype in dtypes.float16, dtypes.float32, dtypes.int32:
          with self.session():
              rnd1 = random_ops.random_uniform(
                  shape, 0, 17, dtype=dtype
              )
              rnd2 = random_ops.random_uniform(
                  shape, 0, 17, dtype=dtype
              )
              diff = (rnd2 - rnd1).eval()
              self.assertTrue(np.linalg.norm(diff) > 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 9 for calling the RandomUniformTest obj's underlying member method code with example usage: obj.testNoCSE() without return types