message: Fix documentation error in tf.size() - output type
diff: @@ -322,11 +322,11 @@ def size(input, name=None, out_type=dtypes.int32):
  Args:
  input: A `Tensor` or `SparseTensor`.
  name: A name for the operation (optional).
  - out_type: (Optional) The specified output type of the operation
  - (`int32` or `int64`). Defaults to tf.int32.
  + out_type: (Optional) The specified non-quantized numeric output type
  + of the operation. Defaults to `tf.int32`.
  Returns:
  - A `Tensor` of type `out_type`. Defaults to tf.int32.
  + A `Tensor` of type `out_type`. Defaults to `tf.int32`.
  @compatibility(numpy)
  Equivalent to np.size()
  @@ -343,11 +343,11 @@ def size_internal(input, name=None, optimize=True, out_type=dtypes.int32):
  input: A `Tensor` or `SparseTensor`.
  name: A name for the operation (optional).
  optimize: if true, encode the size as a constant when possible.
  - out_type: (Optional) The specified output type of the operation
  - (`int32` or `int64`). Defaults to tf.int32.
  + out_type: (Optional) The specified non-quantized numeric output type
  + of the operation. Defaults to `tf.int32`.
  Returns:
  - A `Tensor` of type `out_type`.
  + A `Tensor` of type `out_type`. Defaults to `tf.int32`.
  """
  with ops.name_scope(name, "Size", [input]) as name:
  if isinstance(input, (sparse_tensor.SparseTensor,
  