message: Corrected the errors in the Documentation corresponding to UniqueWithCountsV2
  Fixes in TF Core
diff: @@ -48,33 +48,33 @@ In other words, for an `1-D` tensor `x` with `axis = None:
  For example:
  ```
  -# tensor 'x' is [1, 1, 2, 4, 4, 4, 7, 8, 8]
  -y, idx, count = unique_with_counts(x)
  +x = tf.constant([1, 1, 2, 4, 4, 4, 7, 8, 8])
  +y, idx, count = UniqueWithCountsV2(x, axis = [0])
  y ==> [1, 2, 4, 7, 8]
  idx ==> [0, 0, 1, 2, 2, 2, 3, 4, 4]
  count ==> [2, 1, 3, 1, 2]
  ```
  -For an `2-D` tensor `x` with `axis = 0`:
  +For a `2-D` tensor `x` with `axis = 0`:
  ```
  -# tensor 'x' is [[1, 0, 0],
  -# [1, 0, 0],
  -# [2, 0, 0]]
  -y, idx, count = unique_with_counts(x, axis=0)
  +x = tf.constant([[1, 0, 0],
  + [1, 0, 0],
  + [2, 0, 0]])
  +y, idx, count = UniqueWithCountsV2(x, axis=[0])
  y ==> [[1, 0, 0],
  [2, 0, 0]]
  idx ==> [0, 0, 1]
  count ==> [2, 1]
  ```
  -For an `2-D` tensor `x` with `axis = 1`:
  +For a `2-D` tensor `x` with `axis = 1`:
  ```
  -# tensor 'x' is [[1, 0, 0],
  -# [1, 0, 0],
  -# [2, 0, 0]]
  -y, idx, count = unique_with_counts(x, axis=1)
  +x = tf.constant([[1, 0, 0],
  + [1, 0, 0],
  + [2, 0, 0]])
  +y, idx, count = UniqueWithCountsV2(x, axis=[1])
  y ==> [[1, 0],
  [1, 0],
  [2, 0]]
  