message: Update docstring of tf.split to clarify num_or_size_splits
diff: @@ -1919,9 +1919,9 @@ def split(value, num_or_size_splits, axis=0, num=None, name="split"):
  See also `tf.unstack`.
  - If `num_or_size_splits` is an integer, then `value` is split along the
  - dimension `axis` into `num_split` smaller tensors. This requires that
  - `value.shape[axis]` is divisible by `num_split`.
  + If `num_or_size_splits` is an integer, we call it num_split and
  + `value` is split along the dimension `axis` into `num_split` smaller
  + tensors. This requires that `value.shape[axis]` is divisible by `num_split`.
  If `num_or_size_splits` is a 1-D Tensor (or list), we call it `size_splits`
  and `value` is split into `len(size_splits)` elements. The shape of the `i`-th
  