[PATCH] D73186: [AST] Add fixed-point multiplication constant evaluation.

John McCall via Phabricator via cfe-commits cfe-commits at lists.llvm.org
Thu Jan 23 09:11:07 PST 2020


rjmccall added inline comments.


================
Comment at: clang/lib/Basic/FixedPoint.cpp:242
+  } else
+    Overflowed = Result < Min || Result > Max;
+
----------------
ebevhan wrote:
> ebevhan wrote:
> > rjmccall wrote:
> > > If the maximum expressible value is *k*, and the fully-precise multiplication yields *k+e* for some epsilon *e* that isn't representable in the result semantics, is that considered an overflow?  If so, I think you need to do the shift after these bound checks, since the shift destroys the difference between *k* and *k+e*.  That is, unless there's a compelling mathematical argument that it's not possible to overflow only in the fully-precision multiplication — but while I think that's possibly true of `_Fract` (since *k^2 < k*), it seems unlikely to be true of `_Accum`, although I haven't looked for a counter-example.  And if there is a compelling argument, it should probably be at least alluded to in a comment.
> > > 
> > > Would this algorithm be simpler if you took advantage of the fact that `APFixedPointSemantics` doesn't have to correspond to a real type?  You could probably just convert to a double-width common semantics, right?
> > > If the maximum expressible value is *k*, and the fully-precise multiplication yields *k+e* for some epsilon *e* that isn't representable in the result semantics, is that considered an overflow? If so, I think you need to do the shift after these bound checks, since the shift destroys the difference between *k* and *k+e*.
> > 
> > I don't think I would consider that to be overflow; that's precision loss. E-C considers these to be different:
> > 
> > > If the source value cannot be represented exactly by the fixed-point type, the source value is rounded to either the closest fixed-point value greater than the source value (rounded up) or to the closest fixed-point value less than the source value (rounded down).
> > >
> > > When the source value does not fit within the range of the fixed-point type, the conversion overflows. [...]
> > >
> > > [...]
> > >
> > > If the result type of an arithmetic operation is a fixed-point type, [...] the calculated result is the mathematically exact result with overflow handling and rounding performed to the full precision of the result type as explained in 4.1.3. 
> > 
> > There is also no value of `e` that would affect saturation. Any full precision calculation that gives `k+e` must be `k` after downscaling, since the bits that represent `e` must come from the extra precision range. Even though `k+e` is technically larger than `k`, saturation would still just give us `k` after truncating out `e`, so the end result is the same.
> > 
> > > Would this algorithm be simpler if you took advantage of the fact that APFixedPointSemantics doesn't have to correspond to a real type? You could probably just convert to a double-width common semantics, right?
> > 
> > It's likely possible to use APFixedPoint in the calculations here, but I used APInt to make the behavior explicit and not accidentally be dependent on the behavior of APFixedPoint's conversions or operations.
> Although.,. I guess I see your point in that an intermediate result of k+e technically "does not fit within the range of the fixed-point type"... but I wonder if treating such cases as overflow is particularly meaningful. I don't find there to be much of a distinction between such a case and the case where the exact result lands inbetween two representable values. We just end up with a less precise result.
Right, I was wondering if there was an accepted answer here.  For saturating arithmetic, it's equivalent to truncate this extra precision down to *k* or to saturate to the maximum representable value, since by assumption that was just *k*; but for non-saturating arithmetic, it affects whether the operation has UB.  All else being the same, it's better to have fewer corner-case sources of UB.

My read is that Embedded C is saying there's a sequence here: compute the exact mathematical result; round that to the precision of the result type; the operation overflows if the rounded result is not representable in the result type.  Is the rounding direction completely unspecified, down to being potentially operand-specific?  If so, we could just say that we always  round to avoid overflow if possible.  The main consideration here is that we need to give the operation the same semantics statically and dynamically, and I don't know if there's any situation where those semantics would affect the performance of the operation when done dynamically.


Repository:
  rG LLVM Github Monorepo

CHANGES SINCE LAST ACTION
  https://reviews.llvm.org/D73186/new/

https://reviews.llvm.org/D73186





More information about the cfe-commits mailing list