message: Define truncatemod in terms of tf.truncatediv to be explicit.
diff: @@ -692,8 +692,8 @@ REGISTER_OP("Mod")
  .SetShapeFn(shape_inference::BroadcastBinaryOpShapeFn)
  .Doc(R"doc(
  Returns element-wise remainder of division. This emulates C semantics in that
  -the result here is consistent with a truncating divide. E.g. `truncate(x / y) *
  -y + truncate_mod(x, y) = x`.
  +the result here is consistent with a truncating divide. E.g.
  +`tf.truncatediv(x, y) * y + truncate_mod(x, y) = x`.
  *NOTE*: `Mod` supports broadcasting. More about broadcasting
  [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
  