[LV] Strip wrap flags from vectorized reductions

[dantrushin]

Summary

Wrap flags set on scalar reductions may become invalid after vectorization
After vectorization with interleaving, vectorized reduction might look
like this:

%vec.phi  = phi <4 x i32> [ <i32 -104, i32 0, i32 0, i32 0>, %vector.ph ], [ %2, %vector.body ]
%vec.phi2 = phi <4 x i32> [ zeroinitializer, %vector.ph ], [ %3, %vector.body ]
%2 = sub nuw nsw <4 x i32> %vec.phi, %broadcast.splat
%3 = sub nuw nsw <4 x i32> %vec.phi2, %broadcast.splat

Note that nowrap flags are invalid (0 - x wraps) and must be reset even
though they were correct in scalar case. Otherwise, InstSimplify will
throw (0-X)<nsw> out as a no-op

Fixes PR43828

[lebedev.ri]

I remember seeing similar patch for SLPVectorizer(?).
There the consensus was that the flags that are present on all instructions, can be preserved.
This isn't applicable here?

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

3740–3741

if(auto* I = dyn_cast<Instruction>(LoopVal))
  I->dropPoisonGeneratingFlags();

Shouldn't this be done outside of this loop though?

[dantrushin]

In D69563#1725269, @lebedev.ri wrote:

I remember seeing similar patch for SLPVectorizer(?).
There the consensus was that the flags that are present on all instructions, can be preserved.
This isn't applicable here?

Reductions are special case, IMHO. As you can see, interleaving creates new vector IV {0,-,X}, which obviously wraps,
even though original scalar {-104,-,x} did not

So I believe we have bug here.
I need a fix for it so I had to create this review to get wheels rolling, because other means (asking on llvm-dev and filing PR) did not work ;-P

[dantrushin]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

3740–3741

No, I think I want them cleared from every interleaved part

[lebedev.ri]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

3740–3741

1. Still,

if(StripWrapFlags)
  cast<Instruction>(Val)->dropPoisonGeneratingFlags();

2. Isn't the actual bug is in getOrCreateVectorValue()? why it returns such errneous instructions?

[dantrushin]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

3740–3741

1. But these flags are valid for Val -- it is (original) scalar instruction, which still present in original scalar loop, which serves as reminder loop after vectorization. I want to preserve flags whereever they are valid, otherwise I just would not preserve them in InnerLoopVectorizer::widenInstruction:

4202       Value *V = Builder.CreateNAryOp(I.getOpcode(), Ops);
4203      
4204       if (auto *VecOp = dyn_cast<Instruction>(V))
4205         VecOp->copyIRFlags(&I);

2. getOrCreateVectorValue() simply returns cached vector value from VectorLoopValueMap. And this instruction was created by InnerLoopVectorized::widenInstruction(), which lacks necessary context. So we basically back to the original question - if we do not want to preserve valid flags at all, we can simply not copy them in widenInstruction() (VectorOp->copyIRFlags(&I, false) ). But if we do want to preserve flags where they're valid, we need a context and clear them only for reductions.

[hsaito]

Are we essentially saying that any reassociation can't preserve NSW/NUW flags?

Say, X = MAX_INT, Y = -1, and Z = 1. "t1 = X + Y; t2 = t1 + Z" does not cause signed wrap. "t1 = X + Z; t2 = t1 + Y" does, right?

If we agree on that, since vector reduction is a form of reassociation transformation. we need to drop NSW/NUW flags. We need to look at all other reassociation as well. Are we heading to that direction?

[lebedev.ri]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

3740–3741

But these flags are valid for Val -- it is (original) scalar instruction, which still present in original scalar loop, which serves as reminder loop after vectorization. I want to preserve flags whereever they are valid, otherwise I just would not preserve them in InnerLoopVectorizer::widenInstruction:

I do not understand.
How is the code in the current diff

if (StripWrapFlags) {
  cast<Instruction>(Val)->setHasNoUnsignedWrap(false);
  cast<Instruction>(Val)->setHasNoSignedWrap(false);
}

different from what i suggest:

if(StripWrapFlags)
  cast<Instruction>(Val)->dropPoisonGeneratingFlags();

?
Both drop NSW/NUW from Val.

[dantrushin]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

3740–3741

Sorry, I misunderstood your comment. I had an impression you still want me to hoist it out of loop.
I updated diff

[dantrushin]

In D69563#1739287, @hsaito wrote:

Are we essentially saying that any reassociation can't preserve NSW/NUW flags?

Say, X = MAX_INT, Y = -1, and Z = 1. "t1 = X + Y; t2 = t1 + Z" does not cause signed wrap. "t1 = X + Z; t2 = t1 + Y" does, right?

If we agree on that, since vector reduction is a form of reassociation transformation. we need to drop NSW/NUW flags. We need to look at all other reassociation as well. Are we heading to that direction?

I'm not familiar with LLVM enough to answer your question. I hoped you'll tell me.
But I would expect NSW/NUW flags to be correct, since LLVM performs transformation based on them (e.g., throws some subexpressions out)
I also think that (speaking of vectorization) vector reduction is somewhat special/simpler case of reassociation and in my example, not clearing wrap flags leads to incorrect result even in case where
there cannot be any overflow issues in scalar case.
For other compiler, I would simply clear NSW/NUW flags in InnerLoopVectorizer::widenInstruction() and recompute them afresh after vectorization,
but my understanding is that LLVM tries to preserve as much analysis as possible during transformations
I need that bug fixed and I'll be grateful for any suggestions how to fix it properly.

[dantrushin]

Ping.
@lebedev.ri : did I addressed your comments?

@hsaito: What do you think?

[hsaito]

In D69563#1748967, @dantrushin wrote:

@hsaito: What do you think?

Checked with a few of my colleagues. They say

1. SCEV drops a lot of no-wrap flags because of inherent reassociation issue in design
2. InstCombine and scalar reassociate passes propagate the wrap[ flags if they can prove the flags are still valid.

So, dropping is the right thing to do. Thanks for raising the issue and fixing it.

[hsaito]

This patch looks good to me. I agree it's nicer if we could fix it during widenInstruction, but let's leave that fix to the VPlan centric code generation, where we expect to (eventually) have the necessary context.

[lebedev.ri]

In D69563#1748967, @dantrushin wrote:

Ping.
@lebedev.ri : did I addressed your comments?

Yes. Though it still looks wrong to me that getOrCreateVectorValue() seems to return a value that has incorrect no-wrap flags that we need to later drop.

@hsaito: What do you think?

[dantrushin]

Thanks.
If we're done, could you approve it and commit it for me? I have no commit access yet :-/

[Ayal]

Good catch, binary operations that perform reduction must indeed be vectorized w/o wrap flags.

But this should apply to all such operations that participate in the vectorized part of the loop. Note that (1) there may be several such add/sub instructions, as in llvm/test/Transforms/LoopVectorize/reduction.ll tests, and (2) the last instruction in the loop along a reduction chain may not be one of these binary wrapping ops, but may instead be e.g. a select or phi as in llvm/test/Transforms/LoopVectorize/if-reduction.ll tests. All these instructions should be identified either late as done here in fixReduction(), or early e.g. when they receive a (new) VPWidenRecipe with a additional indicator that they must not wrap.

Patch should be accompanied by test(s), e.g., derived from pr43828, and the fixing of existing tests.

Folding the partial sums in the middle block is already done w/o wrap flags, and the scalar loop used for leftover iterations and/or runtime guard default can continue to retain wrap flags.

[dantrushin]

In D69563#1763159, @Ayal wrote:

Good catch, binary operations that perform reduction must indeed be vectorized w/o wrap flags.

But this should apply to all such operations that participate in the vectorized part of the loop. Note that
(1) there may be several such add/sub instructions, as in llvm/test/Transforms/LoopVectorize/reduction.ll tests, and

Is there some existing API to find them all? Or I need to invite my own?
Would not it be easier just to not copy wrap flags in widenInstruction() for all instructions [which I was shy to do initially :) ] or it is too aggressive?

(2) the last instruction in the loop along a reduction chain may not be one of these binary wrapping ops, but may instead be e.g. a select or phi as in llvm/test/Transforms/LoopVectorize/if-reduction.ll tests.

But as far as I understand, neither select nor phi carry no wrap flags? Or you're saying I need to look through them?

All these instructions should be identified either late as done here in fixReduction(), or early e.g. when they receive a (new) VPWidenRecipe with a additional indicator that they must not wrap.

Doing this early would make me build reduction's instruction list in buildVPlanWithVPRecipies and for each instruction in list pass new flag to VPWidenRecipe and then (during execute()) to widenInstruction()
Again, adding this new flag to it.
Is it correct?

Patch should be accompanied by test(s), e.g., derived from pr43828, and the fixing of existing tests.

Oops, I had them initially, but lost during review update. I'll add them back.

[Ayal]

In D69563#1763331, @dantrushin wrote:

In D69563#1763159, @Ayal wrote:

Good catch, binary operations that perform reduction must indeed be vectorized w/o wrap flags.

But this should apply to all such operations that participate in the vectorized part of the loop. Note that
(1) there may be several such add/sub instructions, as in llvm/test/Transforms/LoopVectorize/reduction.ll tests, and

Is there some existing API to find them all? Or I need to invite my own?

AFAIK such an API does not currently exist.

Would not it be easier just to not copy wrap flags in widenInstruction() for all instructions [which I was shy to do initially :) ] or it is too aggressive?

Loosing all wrap flags would be too aggressive.

(2) the last instruction in the loop along a reduction chain may not be one of these binary wrapping ops, but may instead be e.g. a select or phi as in llvm/test/Transforms/LoopVectorize/if-reduction.ll tests.

But as far as I understand, neither select nor phi carry no wrap flags? Or you're saying I need to look through them?

Right, need to look through select and phi nodes, and possibly other (trunc/sext) instructions.

All these instructions should be identified either late as done here in fixReduction(), or early e.g. when they receive a (new) VPWidenRecipe with a additional indicator that they must not wrap.

Doing this early would make me build reduction's instruction list in buildVPlanWithVPRecipies and for each instruction in list pass new flag to VPWidenRecipe and then (during execute()) to widenInstruction()
Again, adding this new flag to it.
Is it correct?

Yes, that may be an alternative implementation.

Patch should be accompanied by test(s), e.g., derived from pr43828, and the fixing of existing tests.

Oops, I had them initially, but lost during review update. I'll add them back.

[dantrushin]

Update according to @Ayal's comments.

Collect all instructions comprising reduction and clear their
flags if appropriate.
Add lost test/test updates

[fhahn]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

383

formatting seems off. Could you run clang-format on the diff?

[dantrushin]

Removed debug leftovers...

[dantrushin]

Fixed bad formatting

[dantrushin]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

383

Thanks for catching this. Fixed

[Ayal]

Add test(s) having multiple wrapping reduction instructions.

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

382

End sentence with period.

383

collectReduInstructions >> collectReductionInstructions

394

Phi was initially inserted into Result, so the check if UI==Phi is covered by the check if Result.insert(UI).second. Can fold into

if (L->contains(UI->getParent()) && Result.insert(UI).second)
  Worklist.push_back(UI);

3727

ReduList >> ReductionInstructions

3730

might become >> are in general
Start sentence with capital (Wrap) and end with period.

3732

Better interchange to loop over all Parts inside.
Can then potentially do "if (!isa<OverflowingBinaryOperator>(I)) continue;" if preferred.

llvm/test/Transforms/LoopVectorize/nuw.ll

3

Mention PR43828, possibly in file or test name.

As interleaving is set to 2, check both sub's.

5

Tests that use x86 targets should be placed under LoopVectorize/X86 directory.

[dantrushin]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

3732

I had to fuse loops before interchanging.

[dantrushin]

Addressed @Ayal's comments

[a.elovikov]

Probably not too much important because should be handled by the vector predicated instructions/intrinsics, but still

In D69563#1764483, @Ayal wrote:

In D69563#1763331, @dantrushin wrote:

In D69563#1763159, @Ayal wrote:

Good catch, binary operations that perform reduction must indeed be vectorized w/o wrap flags.

But this should apply to all such operations that participate in the vectorized part of the loop. Note that
(1) there may be several such add/sub instructions, as in llvm/test/Transforms/LoopVectorize/reduction.ll tests, and

Is there some existing API to find them all? Or I need to invite my own?

AFAIK such an API does not currently exist.

Would not it be easier just to not copy wrap flags in widenInstruction() for all instructions [which I was shy to do initially :) ] or it is too aggressive?

Loosing all wrap flags would be too aggressive.

Why is it ok not to drop nuw here:

define i8 @function0(i8 %a) {
entry:
  br label %for.body

for.body:
  %indvars.iv = phi i32 [ 0, %entry ], [ %indvars.iv.next, %if.end ]
  %cmp5 = icmp ult i8 %a, 127
  br i1 %cmp5, label %if.then, label %if.end

if.then:
  %mul = mul nuw i8 %a, 2
  br label %if.end

if.end:
  %k = phi i8 [ %mul, %if.then ], [ %a, %for.body ]
  %indvars.iv.next = add i32 %indvars.iv, 1
  %cmp = icmp slt i32 %indvars.iv.next, 42
  br i1 %cmp, label %for.body, label %for.end

for.end:
  ret i8 undef
}

Vector code generated is

vector.ph:                                        ; preds = %entry
  %broadcast.splatinsert1 = insertelement <4 x i8> undef, i8 %a, i32 0
  %broadcast.splat2 = shufflevector <4 x i8> %broadcast.splatinsert1, <4 x i8> undef, <4 x i32> zeroinitializer
  br label %vector.body

vector.body:                                      ; preds = %vector.body, %vector.ph
  %index = phi i32 [ 0, %vector.ph ], [ %index.next, %vector.body ]
  %broadcast.splatinsert = insertelement <4 x i32> undef, i32 %index, i32 0
  %broadcast.splat = shufflevector <4 x i32> %broadcast.splatinsert, <4 x i32> undef, <4 x i32> zeroinitializer
  %induction = add <4 x i32> %broadcast.splat, <i32 0, i32 1, i32 2, i32 3>
  %0 = add i32 %index, 0
  %1 = icmp ult <4 x i8> %broadcast.splat2, <i8 -128, i8 -128, i8 -128, i8 -128>
  %2 = mul nuw <4 x i8> %broadcast.splat2, <i8 2, i8 2, i8 2, i8 2>                                  ; if %a == 200, this is poison...
  %3 = xor <4 x i1> %1, <i1 true, i1 true, i1 true, i1 true>
  %predphi = select <4 x i1> %3, <4 x i8> %broadcast.splat2, <4 x i8> %2                     ; ... even though the %predphi == %a broadcasted, it's still poison as it depends on %2 (according to https://llvm.org/docs/LangRef.html#poisonvalues)
  %index.next = add i32 %index, 4
  %4 = icmp eq i32 %index.next, 40
  br i1 %4, label %middle.block, label %vector.body, !llvm.loop !0

Do I miss anything important here that allows us not to drop "nuw" flags?

[dantrushin]

Ping

[Ayal]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

394

This is indeed a general way to record all transitively dependent instructions inside a loop. In our case, though, there's a single known LoopExitInst with a single (loop-closed phi) user outside the loop. More efficient to record that user and check if (UI != OutsideUser && Result.insert(UI).second) than to repeatedly check if parent block belongs to L. Agreed?

3723

Worth restricting this wrap-dropping treatment to RecurrenceKind's that may wrap, namely RK_IntegerAdd and RK_IntegerMult.

3724

RedictionInstructions >> ReductionInstructions

[dantrushin]

Addressed comments.

[dantrushin]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

394

IMHO this makes code uglier. See below

[Ayal]

In D69563#1776137, @a.elovikov wrote:

Probably not too much important because should be handled by the vector predicated instructions/intrinsics, but still

In D69563#1764483, @Ayal wrote:

In D69563#1763331, @dantrushin wrote:

In D69563#1763159, @Ayal wrote:

Good catch, binary operations that perform reduction must indeed be vectorized w/o wrap flags.

But this should apply to all such operations that participate in the vectorized part of the loop. Note that
(1) there may be several such add/sub instructions, as in llvm/test/Transforms/LoopVectorize/reduction.ll tests, and

Is there some existing API to find them all? Or I need to invite my own?

AFAIK such an API does not currently exist.

Would not it be easier just to not copy wrap flags in widenInstruction() for all instructions [which I was shy to do initially :) ] or it is too aggressive?

Loosing all wrap flags would be too aggressive.

Why is it ok not to drop nuw here:

define i8 @function0(i8 %a) {
entry:
  br label %for.body

for.body:
  %indvars.iv = phi i32 [ 0, %entry ], [ %indvars.iv.next, %if.end ]
  %cmp5 = icmp ult i8 %a, 127
  br i1 %cmp5, label %if.then, label %if.end

if.then:
  %mul = mul nuw i8 %a, 2
  br label %if.end

if.end:
  %k = phi i8 [ %mul, %if.then ], [ %a, %for.body ]
  %indvars.iv.next = add i32 %indvars.iv, 1
  %cmp = icmp slt i32 %indvars.iv.next, 42
  br i1 %cmp, label %for.body, label %for.end

for.end:
  ret i8 undef
}

Vector code generated is

vector.ph:                                        ; preds = %entry
  %broadcast.splatinsert1 = insertelement <4 x i8> undef, i8 %a, i32 0
  %broadcast.splat2 = shufflevector <4 x i8> %broadcast.splatinsert1, <4 x i8> undef, <4 x i32> zeroinitializer
  br label %vector.body

vector.body:                                      ; preds = %vector.body, %vector.ph
  %index = phi i32 [ 0, %vector.ph ], [ %index.next, %vector.body ]
  %broadcast.splatinsert = insertelement <4 x i32> undef, i32 %index, i32 0
  %broadcast.splat = shufflevector <4 x i32> %broadcast.splatinsert, <4 x i32> undef, <4 x i32> zeroinitializer
  %induction = add <4 x i32> %broadcast.splat, <i32 0, i32 1, i32 2, i32 3>
  %0 = add i32 %index, 0
  %1 = icmp ult <4 x i8> %broadcast.splat2, <i8 -128, i8 -128, i8 -128, i8 -128>
  %2 = mul nuw <4 x i8> %broadcast.splat2, <i8 2, i8 2, i8 2, i8 2>                                  ; if %a == 200, this is poison...
  %3 = xor <4 x i1> %1, <i1 true, i1 true, i1 true, i1 true>
  %predphi = select <4 x i1> %3, <4 x i8> %broadcast.splat2, <4 x i8> %2                     ; ... even though the %predphi == %a broadcasted, it's still poison as it depends on %2 (according to https://llvm.org/docs/LangRef.html#poisonvalues)
  %index.next = add i32 %index, 4
  %4 = icmp eq i32 %index.next, 40
  br i1 %4, label %middle.block, label %vector.body, !llvm.loop !0

Do I miss anything important here that allows us not to drop "nuw" flags?

You are right, I stand corrected, conditional instructions that are executed speculatively need to drop their wrap flags as well. Good catch!
This is reminiscent of conditional instructions that are "assume", which need to be dropped altogether, D68814.

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

394

Perhaps offloading the code that searches for OutsideUser over to collectReductionInstructions() may look better, emphasizing that it's an implementation optimization internal to the collection process. That would require passing the loop again and also LoopExitInst.

Another, orthogonal option may be to fuse the loop collecting reduction instructions with the one dropping the wraps, eliminating the need for a ReductionInstructions set.

These options are more a matter of style, as you prefer. The current version and also the previous general one look good to me; we're not expecting too many UI instructions.

3721

The above comment belongs with the code below that fixes the vector-loop phi.
Instead, a comment about fixing/dropping wraps can be made here; e.g., can move the "Wrap flags are in general..." comment here.

3733

Would be good to assert here that OuterUser is not nullptr, or even better that its a (loop closed) phi.

[dantrushin]

Moved all reduction flag stuff into single procedure (I had to make
it member of InnerLoopVectorizer).

Reverted back to Loop->contains() as it seems cleanest to me and
reductions do not contain more than handful instructions usually.

[dantrushin]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

394

Indeed, doing this in a single loop is a good idea. But it needs to be a member method of InnerLoopVectorizer then.

[Ayal]

No need for collectReductionInstructions() any more.

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

3885

There's no need to deal with LoopExitInstr in this implementation; it's probably clearer to start from the Phi as in the original version.

llvm/test/Transforms/LoopVectorize/nuw.ll

15

Note that vector.body's are usually CHECK'd instead of CHECK-LABEL'd, just for consistency with other tests.

Consider running update_test_checks.py to auto-generate the CHECKs.

42

ditto.

[dantrushin]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

3885

I'm passing RecurrenceDescriptor to this function
(so I can easily check reduction type here).
I only can get loop exit instruction from it, not Phi.
Here I need *any* reduction instruction to start with, and I don't see much difference between Phi and LoopExitInstr.

Do you want me to pass in Phi instead and check reduction type at call site?

[Ayal]

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

3885

OK, right. Can pass both RdxDesc and Phi, but using LoopExitInstr is also fine.

It is tempting though to then try and save redundant Loop->contains() calls, perhaps by restricting them only to users of LoopExitInstr, as in:

if ((Cur != LoopExitInstr || OrigLoop->contains(UI->getParent())) && Visited.insert(UI).second)

?

[dantrushin]

Addressed comments:

• removed unsused function
• updated tests
• added short circuit compare to LoopExitInstr

[Ayal]

This looks good to me, with couple of final nits; thanks!

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

552

nit: end above sentence with period.

3885

nit: can shorten to assert(LoopExitInstr && "null loop exit instruction");

[dantrushin]

Fixed final nits

[dantrushin]

@Ayal : Thanks! Could you commit it for me, as I have no commit access yet?

[Ayal]

In D69563#1791132, @dantrushin wrote:

@Ayal : Thanks! Could you commit it for me, as I have no commit access yet?

Done. There were a couple of missing fixes to AArch64/arbitrary-induction-step.ll that were added.

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

static Optional<unsigned> getSmallBestKnownTC(ScalarEvolution &SE, Loop *L) {
 
   // Check if upper bound estimate is known.
   if (unsigned ExpectedTC = SE.getSmallConstantMaxTripCount(L))
     return ExpectedTC;
 
   return None;
 }
 
+/// Return set of instructions comprising reduction defined by \p Phi
+static void collectReduInstructions(PHINode *Phi, Loop *L,
+                                    SmallPtrSetImpl<Instruction*> &Result) {
+  SmallVector<Instruction *, 8> Worklist;
+  Worklist.push_back(Phi);
+  Result.insert(Phi);
+
+  LLVM_DEBUG(dbgs() << " --- collectReduInstructions " << *Phi << "\n");
+  while (!Worklist.empty()) {
+    Instruction *Cur = Worklist.back();
+    Worklist.pop_back();
+    for (User *U : Cur->users()) {
+      Instruction *UI = cast<Instruction>(U);
+      if (UI== Phi || !L->contains(UI->getParent()))
+  continue;
+      if (Result.insert(UI).second) {
+  LLVM_DEBUG(dbgs() << "    --- add " << *UI << "\n");
+  Worklist.push_back(UI);
+      }
+    }
+  }
+}
+
 namespace llvm {
 
 /// InnerLoopVectorizer vectorizes loops which contain only one basic
 /// block to a specified vectorization factor (VF).
 /// This class performs the widening of scalars into vectors, or multiple
 /// scalars. This class also implements the following features:
 /// * It inserts an epilogue loop for handling loops that don't have iteration
 ///   counts that are known to be a multiple of the vectorization factor.
protected:
   /// Fix a first-order recurrence. This is the second phase of vectorizing
   /// this phi node.
   void fixFirstOrderRecurrence(PHINode *Phi);
 
   /// Fix a reduction cross-iteration phi. This is the second phase of
   /// vectorizing this phi node.
   void fixReduction(PHINode *Phi);
 
   /// The Loop exit block may have single value PHI nodes with some
   /// incoming value. While vectorizing we only handled real values
   /// that were defined inside the loop and we should have one value for
   /// each predecessor of its parent basic block. See PR14725.
   void fixLCSSAPHIs();
 
   /// Iteratively sink the scalarized operands of a predicated instruction into
   /// the block that was created for it.
   void sinkScalarOperands(Instruction *PredInst);
void InnerLoopVectorizer::fixFirstOrderRecurrence(PHINode *Phi) {
   for (PHINode &LCSSAPhi : LoopExitBlock->phis()) {
     if (LCSSAPhi.getIncomingValue(0) == Phi) {
       LCSSAPhi.addIncoming(ExtractForPhiUsedOutsideLoop, LoopMiddleBlock);
     }
   }
 }
 
 void InnerLoopVectorizer::fixReduction(PHINode *Phi) {
+    LLVM_DEBUG(dbgs() << " --- fixReduction: " << *Phi << "\n");
   Constant *Zero = Builder.getInt32(0);
 
   // Get it's reduction variable descriptor.
   assert(Legal->isReductionVariable(Phi) &&
          "Unable to find the reduction variable");
   RecurrenceDescriptor RdxDesc = (*Legal->getReductionVars())[Phi];
 
   RecurrenceDescriptor::RecurrenceKind RK = RdxDesc.getRecurrenceKind();
if (VF == 1) {
 
       // This vector is the Identity vector where the first element is the
       // incoming scalar reduction.
       VectorStart =
         Builder.CreateInsertElement(Identity, ReductionStartValue, Zero);
     }
   }
 
   // Fix the vector-loop phi.
 
   // Reductions do not have to start at zero. They can start with
   // any loop invariant values.
   BasicBlock *Latch = OrigLoop->getLoopLatch();
   Value *LoopVal = Phi->getIncomingValueForBlock(Latch);
+  SmallPtrSet<Instruction*, 4> ReduList;
+  collectReduInstructions(Phi, OrigLoop, ReduList);
   for (unsigned Part = 0; Part < UF; ++Part) {
+    // wrap flags might become invalid after vectorization, clear them
+    for (Instruction *I : ReduList)
+      if (isa<OverflowingBinaryOperator>(I)) {
+    Value *V = getOrCreateVectorValue(I, Part);
+    cast<Instruction>(V)->dropPoisonGeneratingFlags();
+    LLVM_DEBUG(dbgs() << "--- Clearing flags from redu instr " << *V << "\n");
+      }
+
     Value *VecRdxPhi = getOrCreateVectorValue(Phi, Part);
     Value *Val = getOrCreateVectorValue(LoopVal, Part);
-    // Make sure to add the reduction stat value only to the
+    // Make sure to add the reduction start value only to the
     // first unroll part.
     Value *StartVal = (Part == 0) ? VectorStart : Identity;
     cast<PHINode>(VecRdxPhi)->addIncoming(StartVal, LoopVectorPreHeader);
     cast<PHINode>(VecRdxPhi)
       ->addIncoming(Val, LI->getLoopFor(LoopVectorBody)->getLoopLatch());
   }
 
   // Before each round, move the insertion point right between
   // the PHIs and the values we are going to write.

 void InnerLoopVectorizer::fixLCSSAPHIs() {
   for (PHINode &LCSSAPhi : LoopExitBlock->phis()) {
     if (LCSSAPhi.getNumIncomingValues() == 1) {
       auto *IncomingValue = LCSSAPhi.getIncomingValue(0);
       // Non-instruction incoming values will have only one value.
       unsigned LastLane = 0;
       if (isa<Instruction>(IncomingValue)) 
           LastLane = Cost->isUniformAfterVectorization(
                          cast<Instruction>(IncomingValue), VF)
                          ? 0
                          : VF - 1;
       // Can be a loop invariant incoming value or the last scalar value to be
       // extracted from the vectorized loop.
       Builder.SetInsertPoint(LoopMiddleBlock->getTerminator());
       Value *lastIncomingValue =
           getOrCreateScalarValue(IncomingValue, { UF - 1, LastLane });
       LCSSAPhi.addIncoming(lastIncomingValue, LoopMiddleBlock);

llvm/test/Transforms/LoopVectorize/X86/tail_loop_folding.ll

 ; CHECK-LABEL: @reduction_i32(
 ; CHECK:       vector.body:
 ; CHECK-NEXT:    [[INDEX:%.*]] = phi i64 [ 0, %vector.ph ], [ [[INDEX_NEXT:%.*]], %vector.body ]
 ; CHECK-NEXT:    [[ACCUM_PHI:%.*]] = phi <8 x i32> [ zeroinitializer, %vector.ph ], [ [[ACCUM:%.*]], %vector.body ]
 ; CHECK:         [[ICMPULE:%.*]] = icmp ule <8 x i64>
 ; CHECK:         [[LOAD1:%.*]] = call <8 x i32> @llvm.masked.load.v8i32.p0v8i32(<8 x i32>* {{.*}}, i32 4, <8 x i1> [[ICMPULE]], <8 x i32> undef)
 ; CHECK:         [[LOAD2:%.*]] = call <8 x i32> @llvm.masked.load.v8i32.p0v8i32(<8 x i32>* {{.*}}, i32 4, <8 x i1> [[ICMPULE]], <8 x i32> undef)
 ; CHECK-NEXT:    [[ADD:%.*]] = add nsw <8 x i32> [[LOAD2]], [[LOAD1]]
-; CHECK-NEXT:    [[ACCUM]] = add nuw nsw <8 x i32> [[ADD]], [[ACCUM_PHI]]
+; CHECK-NEXT:    [[ACCUM]] = add <8 x i32> [[ADD]], [[ACCUM_PHI]]
 ; CHECK:         [[LIVEOUT:%.*]] = select <8 x i1> [[ICMPULE]], <8 x i32> [[ACCUM]], <8 x i32> [[ACCUM_PHI]]
 ; CHECK-NEXT:    [[INDEX_NEXT]] = add i64 [[INDEX]], 8
 ; CHECK:       middle.block:
 ; CHECK-NEXT:    [[RDX_SHUF:%.*]] = shufflevector <8 x i32> [[LIVEOUT]], <8 x i32> undef, <8 x i32> <i32 4, i32 5, i32 6, i32 7, i32 undef, i32 undef, i32 undef, i32 undef>
 ; CHECK-NEXT:    [[BIN_RDX:%.*]] = add <8 x i32> [[LIVEOUT]], [[RDX_SHUF]]
 ; CHECK-NEXT:    [[RDX_SHUF4:%.*]] = shufflevector <8 x i32> [[BIN_RDX]], <8 x i32> undef, <8 x i32> <i32 2, i32 3, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef>
 ; CHECK-NEXT:    [[BIN_RDX5:%.*]] = add <8 x i32> [[BIN_RDX]], [[RDX_SHUF4]]
 ; CHECK-NEXT:    [[RDX_SHUF6:%.*]] = shufflevector <8 x i32> [[BIN_RDX5]], <8 x i32> undef, <8 x i32> <i32 1, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef>

llvm/test/Transforms/LoopVectorize/if-pred-stores.ll

 ; UNROLL-NOSIMPLIFY-NEXT:    store i32 2, i32* [[TMP0]], align 4
 ; UNROLL-NOSIMPLIFY-NEXT:    br label [[PRED_STORE_CONTINUE]]
 ; UNROLL-NOSIMPLIFY:       pred.store.continue:
 ; UNROLL-NOSIMPLIFY-NEXT:    br i1 undef, label [[PRED_STORE_IF3:%.*]], label [[PRED_STORE_CONTINUE4]]
 ; UNROLL-NOSIMPLIFY:       pred.store.if3:
 ; UNROLL-NOSIMPLIFY-NEXT:    store i32 2, i32* [[TMP1]], align 4
 ; UNROLL-NOSIMPLIFY-NEXT:    br label [[PRED_STORE_CONTINUE4]]
 ; UNROLL-NOSIMPLIFY:       pred.store.continue4:
-; UNROLL-NOSIMPLIFY-NEXT:    [[TMP4:%.*]] = add nsw i32 [[VEC_PHI]], 1
-; UNROLL-NOSIMPLIFY-NEXT:    [[TMP5:%.*]] = add nsw i32 [[VEC_PHI2]], 1
+; UNROLL-NOSIMPLIFY-NEXT:    [[TMP4:%.*]] = add i32 [[VEC_PHI]], 1
+; UNROLL-NOSIMPLIFY-NEXT:    [[TMP5:%.*]] = add i32 [[VEC_PHI2]], 1
 ; UNROLL-NOSIMPLIFY-NEXT:    [[PREDPHI]] = select i1 undef, i32 [[VEC_PHI]], i32 [[TMP4]]
 ; UNROLL-NOSIMPLIFY-NEXT:    [[PREDPHI5]] = select i1 undef, i32 [[VEC_PHI2]], i32 [[TMP5]]
 ; UNROLL-NOSIMPLIFY-NEXT:    [[OFFSET_IDX6:%.*]] = add i64 undef, [[INDEX]]
 ; UNROLL-NOSIMPLIFY-NEXT:    [[TMP6:%.*]] = trunc i64 [[OFFSET_IDX6]] to i32
 ; UNROLL-NOSIMPLIFY-NEXT:    [[INDUCTION7:%.*]] = add i32 [[TMP6]], 0
 ; UNROLL-NOSIMPLIFY-NEXT:    [[INDUCTION8:%.*]] = add i32 [[TMP6]], 1
 ; UNROLL-NOSIMPLIFY-NEXT:    [[INDEX_NEXT]] = add i64 [[INDEX]], 2
 ; UNROLL-NOSIMPLIFY-NEXT:    [[TMP7:%.*]] = icmp eq i64 [[INDEX_NEXT]], 0

llvm/test/Transforms/LoopVectorize/interleaved-accesses.ll

 ; }
 
 ; CHECK-LABEL: @test_struct_load4(
 ; CHECK: %wide.vec = load <16 x i32>, <16 x i32>* {{.*}}, align 4
 ; CHECK: shufflevector <16 x i32> %wide.vec, <16 x i32> undef, <4 x i32> <i32 0, i32 4, i32 8, i32 12>
 ; CHECK: shufflevector <16 x i32> %wide.vec, <16 x i32> undef, <4 x i32> <i32 1, i32 5, i32 9, i32 13>
 ; CHECK: shufflevector <16 x i32> %wide.vec, <16 x i32> undef, <4 x i32> <i32 2, i32 6, i32 10, i32 14>
 ; CHECK: shufflevector <16 x i32> %wide.vec, <16 x i32> undef, <4 x i32> <i32 3, i32 7, i32 11, i32 15>
-; CHECK: add nsw <4 x i32>
+; CHECK: add <4 x i32>
 ; CHECK: sub <4 x i32>
-; CHECK: add nsw <4 x i32>
+; CHECK: add <4 x i32>
 ; CHECK: sub <4 x i32>
 
 %struct.ST4 = type { i32, i32, i32, i32 }
 
 define i32 @test_struct_load4(%struct.ST4* nocapture readonly %S) {
 entry:
   br label %for.body
 

 ;   SB = SumB;
 ; }
 
 ; CHECK-LABEL: @int_float_struct(
 ; CHECK: %wide.vec = load <8 x i32>, <8 x i32>* %{{.*}}, align 4
 ; CHECK: %[[V0:.*]] = shufflevector <8 x i32> %wide.vec, <8 x i32> undef, <4 x i32> <i32 0, i32 2, i32 4, i32 6>
 ; CHECK: %[[V1:.*]] = shufflevector <8 x i32> %wide.vec, <8 x i32> undef, <4 x i32> <i32 1, i32 3, i32 5, i32 7>
 ; CHECK: bitcast <4 x i32> %[[V1]] to <4 x float>
-; CHECK: add nsw <4 x i32>
+; CHECK: add <4 x i32>
 ; CHECK: fadd fast <4 x float>
 
 %struct.IntFloat = type { i32, float }
 
 @SA = common global i32 0, align 4
 @SB = common global float 0.000000e+00, align 4
 
 define void @int_float_struct(%struct.IntFloat* nocapture readonly %A) #0 {

 ; CHECK:   %[[X2:.+]] = extractelement <8 x i32> %[[L1:.+]], i32 2
 ; CHECK:   store i32 %[[X2:.+]], {{.*}}
 ; CHECK:   %[[X3:.+]] = extractelement <8 x i32> %[[L1:.+]], i32 4
 ; CHECK:   store i32 %[[X3:.+]], {{.*}}
 ; CHECK:   %[[X4:.+]] = extractelement <8 x i32> %[[L1:.+]], i32 6
 ; CHECK:   store i32 %[[X4:.+]], {{.*}}
 ; CHECK:   %[[L2:.+]] = load <8 x i32>, <8 x i32>* {{.*}}
 ; CHECK:   %[[S1:.+]] = shufflevector <8 x i32> %[[L2]], <8 x i32> undef, <4 x i32> <i32 0, i32 2, i32 4, i32 6>
-; CHECK:   add nsw <4 x i32> %[[S1]], %[[Phi]]
+; CHECK:   add <4 x i32> %[[S1]], %[[Phi]]
 
 define i32 @PR27626_1(%pair.i32 *%p, i64 %n) {
 entry:
   br label %for.body
 
 for.body:
   %i = phi i64 [ %i.next, %for.body ], [ 0, %entry ]
   %s = phi i32 [ %2, %for.body ], [ 0, %entry ]

 ; CHECK:   %[[X2:.+]] = extractelement <8 x i32> %[[L1:.+]], i32 2
 ; CHECK:   store i32 %[[X2:.+]], {{.*}}
 ; CHECK:   %[[X3:.+]] = extractelement <8 x i32> %[[L1:.+]], i32 4
 ; CHECK:   store i32 %[[X3:.+]], {{.*}}
 ; CHECK:   %[[X4:.+]] = extractelement <8 x i32> %[[L1:.+]], i32 6
 ; CHECK:   store i32 %[[X4:.+]], {{.*}}
 ; CHECK:   %[[L2:.+]] = load <8 x i32>, <8 x i32>* {{.*}}
 ; CHECK:   %[[S1:.+]] = shufflevector <8 x i32> %[[L2]], <8 x i32> undef, <4 x i32> <i32 0, i32 2, i32 4, i32 6>
-; CHECK:   add nsw <4 x i32> %[[S1]], %[[Phi]]
+; CHECK:   add <4 x i32> %[[S1]], %[[Phi]]
 
 define i32 @PR27626_3(%pair.i32 *%p, i64 %n, i32 %z) {
 entry:
   br label %for.body
 
 for.body:
   %i = phi i64 [ %i.next, %for.body ], [ 0, %entry ]
   %s = phi i32 [ %2, %for.body ], [ 0, %entry ]

llvm/test/Transforms/LoopVectorize/no_int_induction.ll

 ; RUN: opt < %s  -loop-vectorize -force-vector-interleave=1 -force-vector-width=4 -dce -instcombine -S | FileCheck %s
 
 ; int __attribute__((noinline)) sum_array(int *A, int n) {
 ;  return std::accumulate(A, A + n, 0);
 ; }
 
 target datalayout = "e-p:64:64:64-p1:16:16:16-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-v64:64:64-v128:128:128-a0:0:64-s0:64:64-n8:16:32:64-S128"
 
 ;CHECK-LABEL: @sum_array(
 ;CHECK: phi i64
 ;CHECK: phi <4 x i32>
 ;CHECK: load <4 x i32>
-;CHECK: add nsw <4 x i32>
+;CHECK: add <4 x i32>
 ;CHECK: ret i32
 define i32 @sum_array(i32* %A, i32 %n) nounwind uwtable readonly noinline ssp {
   %1 = sext i32 %n to i64
   %2 = getelementptr inbounds i32, i32* %A, i64 %1
   %3 = icmp eq i32 %n, 0
   br i1 %3, label %_ZSt10accumulateIPiiET0_T_S2_S1_.exit, label %.lr.ph.i
 
 .lr.ph.i:                                         ; preds = %0, %.lr.ph.i
_ZSt10accumulateIPiiET0_T_S2_S1_.exit:            ; preds = %.lr.ph.i, %0
   ret i32 %.01.lcssa.i
 }
 
 ; Same, but use a pointer with a different size.
 ;CHECK-LABEL: @sum_array_as1(
 ;CHECK: phi i16
 ;CHECK: phi <4 x i32>
 ;CHECK: load <4 x i32>
-;CHECK: add nsw <4 x i32>
+;CHECK: add <4 x i32>
 ;CHECK: ret i32
 define i32 @sum_array_as1(i32 addrspace(1)* %A, i32 %n) nounwind uwtable readonly noinline ssp {
   %1 = sext i32 %n to i64
   %2 = getelementptr inbounds i32, i32 addrspace(1)* %A, i64 %1
   %3 = icmp eq i32 %n, 0
   br i1 %3, label %_ZSt10accumulateIPiiET0_T_S2_S1_.exit, label %.lr.ph.i
 
 .lr.ph.i:                                         ; preds = %0, %.lr.ph.i

llvm/test/Transforms/LoopVectorize/nuw.ll

+; RUN: opt %s -loop-vectorize -force-vector-interleave=2 -force-vector-width=4 -S | FileCheck %s
+; ModuleID = 'vec.ll'
+target datalayout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128-ni:1"
+target triple = "x86_64-unknown-linux-gnu"
+
+define void @test(i32* %B) {
+entry:
+  br label %outer_loop
+
+outer_loop:
+  %local_4 = phi i32 [ 2, %entry ], [ %4, %outer_tail]
+  br label %inner_loop
+
+; CHECK: vector.body:
+; CHECK-NOT:   sub nuw nsw <4 x i32>
+inner_loop:
+  %local_2 = phi i32 [ 0, %outer_loop ], [ %1, %inner_loop ]
+  %local_3 = phi i32 [ -104, %outer_loop ], [ %0, %inner_loop ]
+  %0 = sub nuw nsw i32 %local_3, %local_4
+  %1 = add nuw nsw i32 %local_2, 1
+  %2 = icmp ugt i32 %local_2, 126
+  br i1 %2, label %outer_tail, label %inner_loop
+
+outer_tail:
+  %3 = phi i32 [ %0, %inner_loop ]
+  store atomic i32 %3, i32 * %B unordered, align 8
+  %4 = add i32 %local_4, 1
+  %5 = icmp slt i32 %4, 6
+  br i1 %5, label %outer_loop, label %exit
+
+exit:
+  ret void
+}

llvm/test/Transforms/LoopVectorize/reduction-small-size.ll

 ; RUN: opt < %s -force-vector-width=4 -force-vector-interleave=1 -loop-vectorize -S | FileCheck %s
 
 target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
 
 ; CHECK-LABEL: @PR34687(
 ; CHECK:       vector.body:
 ; CHECK-NEXT:    [[INDEX:%.*]] = phi i32 [ 0, %vector.ph ], [ [[INDEX_NEXT:%.*]], %[[LATCH:.*]] ]
 ; CHECK-NEXT:    [[VEC_PHI:%.*]] = phi <4 x i32> [ zeroinitializer, %vector.ph ], [ [[TMP17:%.*]], %[[LATCH]] ]
 ; CHECK:       [[LATCH]]:
 ; CHECK:         [[TMP13:%.*]] = and <4 x i32> [[VEC_PHI]], <i32 255, i32 255, i32 255, i32 255>
-; CHECK-NEXT:    [[TMP14:%.*]] = add nuw nsw <4 x i32> [[TMP13]], {{.*}}
+; CHECK-NEXT:    [[TMP14:%.*]] = add <4 x i32> [[TMP13]], {{.*}}
 ; CHECK-NEXT:    [[INDEX_NEXT]] = add i32 [[INDEX]], 4
 ; CHECK:         [[TMP16:%.*]] = trunc <4 x i32> [[TMP14]] to <4 x i8>
 ; CHECK-NEXT:    [[TMP17]] = zext <4 x i8> [[TMP16]] to <4 x i32>
 ; CHECK-NEXT:    br i1 {{.*}}, label %middle.block, label %vector.body
 ;
 define i8 @PR34687(i1 %c, i32 %x, i32 %n) {
 entry:
   br label %for.body

llvm/test/Transforms/LoopVectorize/reduction.ll

for.end:                                          ; preds = %for.body, %entry
   %x.0.lcssa = phi i32 [ 0, %entry ], [ %sub, %for.body ]
   ret i32 %x.0.lcssa
 }
 
 
 ; In this test the reduction variable is on the LHS and we can vectorize it.
 ;CHECK-LABEL: @reduction_sub_lhs(
 ;CHECK: phi <4 x i32>
-;CHECK: sub nsw <4 x i32>
+;CHECK: sub <4 x i32>
 ;CHECK: ret i32
 define i32 @reduction_sub_lhs(i32 %n, i32* noalias nocapture %A) nounwind uwtable readonly {
 entry:
   %cmp4 = icmp sgt i32 %n, 0
   br i1 %cmp4, label %for.body, label %for.end
 
 for.body:                                         ; preds = %entry, %for.body
   %indvars.iv = phi i64 [ %indvars.iv.next, %for.body ], [ 0, %entry ]