code: def test_unary_cwise_no_grad(self):
      for op in [math_ops.ceil, math_ops.floor, math_ops.logical_not]:
          x = random_ops.random_uniform([3, 5])
          if op == math_ops.logical_not:
              x = x > 0
  
          # pylint: disable=cell-var-from-loop
          def loop_fn(i):
              return op(array_ops.gather(x, i))
  
          # pylint: enable=cell-var-from-loop
  
          self._test_loop_fn(loop_fn, 3)
  
imports: import itertools
  from absl.testing import parameterized
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops import tensor_array_grad
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.ops.parallel_for.test_util import PForTestCase
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the MathTest obj's underlying member method code with example usage: obj.test_unary_cwise_no_grad() and returns: op