message: Remove underscore prefix from gen_array_ops._unique_with_counts_v2
diff: @@ -137,10 +137,10 @@ class UniqueWithCountsTest(test.TestCase):
  for dtype in [np.int32, np.int64]:
  x = np.array([[1, 0, 0], [1, 0, 0], [2, 0, 0]])
  with self.test_session() as sess:
  - y0, idx0, count0 = gen_array_ops._unique_with_counts_v2(
  + y0, idx0, count0 = gen_array_ops.unique_with_counts_v2(
  x, axis=np.array([0], dtype))
  tf_y0, tf_idx0, tf_count0 = sess.run([y0, idx0, count0])
  - y1, idx1, count1 = gen_array_ops._unique_with_counts_v2(
  + y1, idx1, count1 = gen_array_ops.unique_with_counts_v2(
  x, axis=np.array([1], dtype))
  tf_y1, tf_idx1, tf_count1 = sess.run([y1, idx1, count1])
  self.assertAllEqual(tf_y0, np.array([[1, 0, 0], [2, 0, 0]]))
  @@ -155,7 +155,7 @@ class UniqueWithCountsTest(test.TestCase):
  # by default, the axis will be wrapped to allow `axis=None`.
  x = np.random.randint(2, high=10, size=7000)
  with self.test_session() as sess:
  - y, idx, count = gen_array_ops._unique_with_counts_v2(
  + y, idx, count = gen_array_ops.unique_with_counts_v2(
  x, axis=np.array([], np.int32))
  tf_y, tf_idx, tf_count = sess.run([y, idx, count])
  