message: More changes to UT.
diff: @@ -29,12 +29,9 @@ from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  -from tensorflow.python.ops import init_ops
  -from tensorflow.python.ops import variables
  +from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
  -import tensorflow as tf
  -
  class SliceTest(test.TestCase):
  def testEmpty(self):
  @@ -51,20 +48,16 @@ class SliceTest(test.TestCase):
  shape = [64, 28, 28, 32]
  dtype = dtypes.float32
  gain = 3.14
  - kernel_size = [1, 1]
  + filter_size = [1, 1, 32, 32]
  - convolution = tf.layers.Conv2D
  + convolution = nn_ops.conv2d
  inputs = random_ops.random_normal(shape, dtype=dtype)
  + filters = random_ops.random_normal(filter_size, dtype=dtype)
  middle = convolution(
  - padding="valid", filters=cout,
  - kernel_size=kernel_size, use_bias=False,
  - kernel_initializer=init_ops.convolutional_orthogonal_2d(gain=gain)
  - ).apply(inputs)
  + inputs, padding="VALID", strides=[1, 1, 1, 1], filter=filters)
  outputs = array_ops.slice(middle, [8, 8, 8, 8], [16, 16, 16, 16])
  - my_ops = variables.global_variables_initializer()
  with self.session(use_gpu=True) as sess:
  - sess.run(my_ops)
  t = outputs.eval()
  def testInt32(self):
  