message: updated docs to address review comments
diff: @@ -2737,15 +2737,16 @@ def sparse_transpose(sp_input, perm=None, name=None):
  @tf_export("sparse.map_values", v1=[])
  @dispatch.add_dispatch_support
  def map_values(op, *args, **kwargs):
  - """Applies `op` to the values of one or more `SparseTensor`s.
  + """Applies `op` to the `.values` tensor of one or more `SparseTensor`s.
  Replaces any `SparseTensor` in `args` or `kwargs` with its `values`
  - tensor, and then calls `op`. Returns a `SparseTensor` that is constructed
  - from the input `SparseTensor`s' `indices` and the value returned by
  - the `op`.
  + tensor (which contains the non-default values for the SparseTensor),
  + and then calls `op`. Returns a `SparseTensor` that is constructed
  + from the input `SparseTensor`s' `indices`, `dense_shape`, and the
  + value returned by the `op`.
  If the input arguments contain multiple `SparseTensor`s, then they must have
  - identical `indices`.
  + equal `indices` and dense shapes.
  Examples:
  @@ -2769,11 +2770,11 @@ def map_values(op, *args, **kwargs):
  **kwargs: Keyword arguments for `op`.
  Returns:
  - A `SparseTensor` whose `indices` matches the `indices` of all
  - input `SparseTensor`s.
  + A `SparseTensor` whose `indices` and `dense_shape` matches the `indices`
  + and `dense_shape` of all input `SparseTensor`s.
  Raises:
  ValueError: If args contains no `SparseTensor`, or if the `indices`
  - of the input `SparseTensor`s are not identical.
  + or `dense_shape`s of the input `SparseTensor`s are not equal.
  """
  sparse_list = []
  inner_args = _replace_sparse_with_values(args, sparse_list)
  @@ -2790,7 +2791,7 @@ def map_values(op, *args, **kwargs):
  def _assert_sparse_compatible(sparse_tensors):
  - """Check that all of `sparse_tensors` have same `indices` and `dense_shape`
  + """Check that all of `sparse_tensors` have same `indices` and `dense_shape`.
  Returns: An op to be used as a control dependency.
  """
  