This just copies the same conservative definition from mayWriteToMemory,
and enables more VPInstructions to be hoisted out in LICM.
I think this should give more accurate costs, and I was able to build
llvm-test-suite without the legacy-vplan cost model assertion going off.
Update optimizeForVFAndUF to completely remove the vector loop region
when possible. At the moment, we cannot remove the region if it contains
* widened IVs: the recipe is needed to generate the step vector
* reductions: ComputeReductionResults requires the reduction phi recipe
for codegen.
Both cases can be addressed by more explicit modeling.
The patch also includes a number of updates to allow executing VPlans
without a vector loop region.
Depends on https://github.com/llvm/llvm-project/pull/110004
This fixes a crash when building SPEC CPU 2017 with EVL tail folding
when widening @llvm.log10 intrinsics.
@llvm.log10 and some other intrinsics don't have a corresponding VP
intrinsic, so this fixes the crash by removing the assert and bailing
instead.
Currently available intrinsics are only ld2/st2, which don't support interleaving factor > 2.
This patch teaches the LV to use ld2/st2 recursively to support high
interleaving factors.
When building SPEC CPU 2017 with RISC-V and EVL tail folding, this
assertion in VPTypeAnalysis would trigger during the transformation to
EVL recipes:
d8a0709b10/llvm/lib/Transforms/Vectorize/VPlanAnalysis.cpp (L135-L142)
It was caused by this recipe:
```
WIDEN ir<%shr> = vp.or ir<%add33>, ir<0>, vp<%6>
```
Having its type inferred as i16, when ir<%add33> and ir<0> had inferred
types of i32 somehow.
The cause of this turned out to be because the VPTypeAnalysis cache was
getting clobbered: In this transform we were erasing recipes but keeping
around the same mapping from VPValue* to Type*. In the meantime, new
recipes would be created which would have the same address as the old
value. They would then incorrectly get the old erased VPValue*'s cached
type:
```
--- before ---
0x600001ec5030: WIDEN ir<%mul21.neg> = vp.mul vp<%11>, ir<0>, vp<%6>
0x600001ec5450: <badref> <- some value that was erased
--- after ---
0x600001ec5030: WIDEN ir<%mul21.neg> = vp.mul vp<%11>, ir<0>, vp<%6>
0x600001ec5450: WIDEN ir<%shr> = vp.or ir<%add33>, ir<0>, vp<%6> <- a new value that happens to have the same address
```
This fixes this by deferring the erasing of recipes till after the
transformation.
The test case might be a bit flakey since it just happens to have the
right conditions to recreate this. I tried to add an assert in
inferScalarType that every VPValue in the cache was valid, but couldn't
find a way of telling if a VPValue had been erased.
---------
Co-authored-by: Florian Hahn <flo@fhahn.com>
This fixes a crash that shows up when building SPEC CPU 2017 with EVL
tail folding on RISC-V.
A VPWidenCastRecipe doesn't always have an underlying value, and in the
case of this crash this happens whenever a widened cast is created via
truncateToMinimalBitwidths.
Fix this by just using the opcode stored in the recipe itself.
I think a similar issue exists with VPWidenIntrinsicRecipe and how it's
widened, but I haven't run into any crashes with it just yet.
This was originally done to reduce the diff for the change. Remove it
and update the remaining tests. NFC modulo reordering of incoming
values.
Clean up after https://github.com/llvm/llvm-project/pull/114292.
I'm not sure if getStepVector was used for other things in the past
where StartIdx was non-zero, but nowadays VPWidenIntOrFpInductionRecipe
is the only user of it, and just passes zero to it. I presume
InstCombine was already catching this so hopefully removing this won't
affect codegen.
As a first step to move towards modeling the full skeleton in VPlan,
start by wrapping IR blocks created during legacy skeleton creation in
VPIRBasicBlocks and hook them into the VPlan. This means the skeleton
CFG is represented in VPlan, just before execute. This allows moving
parts of skeleton creation into recipes in the VPBBs gradually.
Note that this allows retiring some manual DT updates, as this will be
handled automatically during VPlan execution.
PR: https://github.com/llvm/llvm-project/pull/114292
This moves printing of the final VPlan to ::execute. This ensures the
final VPlan is printed, including recipes that get introduced by late,
lowering transforms and skeleton construction.
Split off from https://github.com/llvm/llvm-project/pull/114292, to
simplify the diff.
This reverts commit f09b16e2671cbcdf7cb7dc7ed705db092a9deda1.
The crash when building llvm-test-suite with stage2 should have been
fixed by 1091fad31a83d5ab87eb6fa11fe3bdb3f0d152ea.
This reverts commit 0678e2058364ec10b94560d27ec7138dfa003287.
This reverts commit 1091fad31a83d5ab87eb6fa11fe3bdb3f0d152ea.
Causes crashes in llvm-test-suite when using stage 2 clang.
Updated ILV.createInductionResumeValues (now createInductionResumeVPValue)
to directly update the VPIRInstructions wrapping the original phis with the
created resume values.
This is the first step towards modeling them completely in VPlan.
Subsequent patches will move creation of the resume values completely
into VPlan.
Depends on https://github.com/llvm/llvm-project/pull/109975.
PR: https://github.com/llvm/llvm-project/pull/110577
If IVUpdateMayOverflow is false, we proved that the induction increment
cannot overflow in the vector loop. This allows setting NUW in some
cases when folding the tail.
PR: https://github.com/llvm/llvm-project/pull/111758
SLEEF math vector library now supports RISC-V target.
Commit: https://github.com/shibatch/sleef/pull/477
This patch enables the use of auto-vectorization with
subsequent replacement by the corresponding SLEEF function.
VPReverseVectorPointer relies on the runtime VF, but in DataWithEVL
tail-folding, EVL (which can be less than VF at runtime) should be used
instead.
This patch updates the logic to check the users of VF and replaces the
second operand if the user is VPReverseVectorPointer.
Currently it's very difficult to improve the cost model for tail-folded
loops because as soon as you add a VPInstruction::computeCost function
that adds the costs of instructions such as
VPInstruction::ActiveLaneMask
and VPInstruction::ExplicitVectorLength the assert in
LoopVectorizationPlanner::computeBestVF fails for some tests. This is
because the VF chosen by the legacy cost model doesn't match the vplan
cost model. See PR #90191. This assert is currently making it difficult
to improve the cost model.
Hopefully we will be in a position to remove the assert soon, however
in order to do that we have to fix up a whole bunch of tests that rely
upon the legacy cost model output. I've tried my best to update
these tests to use vplan output instead.
There is still work needed for the VF=1 case because the vplan cost
model is not printed out in this case. I've not attempted to fix those
in this patch.
In #111310 an assert was added that for the IV overflow check used with
tail folding, the overflow check is never known.
However when applying the loop guards, it looks like it's possible that
we might actually know the IV won't overflow: this occurs in
500.perlbench_r from SPEC CPU 2017 and triggers the assertion:
Assertion failed: (!isIndvarOverflowCheckKnownFalse(Cost, VF * UF) &&
!SE.isKnownPredicate(CmpInst::getInversePredicate(ICmpInst::ICMP_ULT),
TC2OverflowSCEV, SE.getSCEV(Step)) && "unexpectedly proved overflow
check to be known"), function emitIterationCountCheck, file
LoopVectorize.cpp, line 2501.
There is a discrepancy between `isIndvarOverflowCheckKnownFalse` and the
ICMP_ULT check, because the former uses `getSmallConstantMaxTripCount`
which only takes into trip counts that fit into 32 bits. There doesn't
seem to be an easy way to make the assertion aware of this, so this PR
just removes it for now.
There are two potential follow up things from this PR:
1. We miss calculating the max trip count in `@trip_count_max_1024`, it
looks like we might need to apply loop guards somewhere in
`ScalarEvolution::computeExitLimitFromICmp`
2. In `@overflow_at_0`, if `%tc == 0` then we the overflow check will
always return false, even though it will overflow
Fixes https://github.com/llvm/llvm-project/issues/115755
In #101641, support for out of loop reductions with EVL tail folding was
added by transforming selects to vp_merges in
transformRecipestoEVLRecipes.
Whilst the select was previously free, the vp_merge wasn't and incurs a
cost on RISC-V with the VPlan cost model. But this diverged from the
legacy cost model and caused the "VPlan cost model and legacy cost model
disagreed" assertion to trigger when building 502.gcc_r from SPEC CPU
2017.
Neither the select nor vp_merge recipes from the VPlan exist in the
underlying instructions, so I thought it would make the most sense to
fix this by adding the cost to the underlying phi instruction in
getInstructionCost.
It's worth noting that on RISC-V this vp_merge won't actually generate
any instructions because the mask is all true, and will be folded away.
So we should update the cost model at some point to reflect that.
This PR enables scalable loop vectorization for f16 with zvfhmin and
bf16 with zvfbfmin.
Enabling this was dependent on filling out the gaps for scalable
zvfhmin/zvfbfmin codegen, but everything that the loop vectorizer might
emit should now be handled.
It does this by marking f16 and bf16 as legal in
`isLegalElementTypeForRVV`. There are a few users of
`isLegalElementTypeForRVV` that have already been enabled in other PRs:
- `isLegalStridedLoadStore` #115264
- `isLegalInterleavedAccessType` #115257
- `isLegalMaskedLoadStore` #115145
- `isLegalMaskedGatherScatter` #114945
The remaining user is `isLegalToVectorizeReduction`. We can't promote
f16/bf16 reductions to f32 so we need to disable them for scalable
vectors. The cost model actually marks these as invalid, but for
out-of-tree reductions `ComputeReductionResult` doesn't get costed and
it will end up emitting a reduction intrinsic regardless, so we still
need to mark them as illegal. We might be able to remove this
restriction later for fmax and fmin reductions.
The plan for the VF chosen by the legacy cost model could also contain
additional simplifications that cause cost differences. Also check if it
contains simplifications.
Fixes https://github.com/llvm/llvm-project/issues/114860.
Following #90184, this patch emits vp.merge intrinsic, which is used to
set the inactive lanes in a select operation to the RHS instead of
undef. Currently, it is applied to out-loop reduction for EVL
vectorization.
This patch performs transformation to convert
select(header_mask, LHS, RHS)
into
vp.merge(all-true, LHS, RHS, EVL)
And always use the predicated reduction select to set the incoming value
of the reduction phi to support out-loop reduction when using tail
folding with EVL.
TODO: Postpone the adjustment of the predicated reduction select to
VPlanTransform. The current adjustment might be too early, which could
lead to a situation where the predicated reduction select is adjusted,
but the EVL recipes cannot be successfully generated during
VPlanTransform.
This is a follow up to #111511, where after benchmarking we learnt that
the Banana Pi F3 has fast segmented loads for not just NF=2, but also
NF=3 and NF=4:
https://github.com/preames/bp3-microarch#vlseg_lmul_x_sew_throughput
This adds tuning features to allow these segment loads and stores to be
costed cheaper and enables it for the spacemit-x60.
It also enables +optimized-nf2-segment-load-store by default in the
generic tuning to maintain the previous behaviour when compiled without
-mcpu or -mtune.
Update VPlan to include the scalar loop header. This allows retiring
VPLiveOut, as the remaining live-outs can now be handled by adding
operands to the wrapped phis in the scalar loop header.
Note that the current version only includes the scalar loop header, no
other loop blocks and also does not wrap it in a region block.
PR: https://github.com/llvm/llvm-project/pull/109975
Currently we cost an interleaved memory op as if it were a load/store of
the widened vector type, but this was undercosting in all cases when
compared to the measured performance of todays hardware.
On the x280 at NF=2 and spacemit-x60 at NF=2,3 and 4, a segmented load
is carried out as a wide load and NF LMUL shuffle ops:
https://github.com/preames/bp3-microarch#vlseg_lmul_x_sew_throughput
All other NFs go through a slow path. On the spacemit-x60 this is
proportional to VLMAX * NF, and on the x280 proportional to the number
of segments.
This patch increases the cost by implementing a wide load + NF LMUL
shuffle op cost for the lowest common denominator NF=2, and then a
slower cost proportional to VL for the other NFs.
In a follow up patch we can add a tuning flag to use the faster cost
model for NF=3 and 4 on the spacemit-x60.
Note that the FIXME about illegal vectors seems to have been fixed in
#100436
Use VPInstruction::ResumePhi to create phi nodes for reduction resume
values in the scalar preheader, similar to how ResumePhis are used for
first-order recurrence resume values after 9a5a8731e77.
This allows simplifying createAndCollectMergePhiForReduction to only
collect reduction resume phis when vectorizing epilogue loops and adding
extra incoming edges from the main vector loop. Updating phis for the
epilogue vector loops requires special attention, because additional
incoming values from the bypass blocks need to be added.
PR: https://github.com/llvm/llvm-project/pull/110004
Refactors VPVectorPointerRecipe to use the VF VPValue to obtain the
runtime VF, similar to #95305.
Since only reverse vector pointers require the runtime VF, the patch
sets VPUnrollPart::PartOpIndex to 1 for vector pointers and 2 for
reverse vector pointers. As a result, the generation of reverse vector
pointers is moved into a separate recipe.
isNoWrap has exactly one caller which handles Assume = true separately,
but too conservatively. Instead, pass Assume to isNoWrap, so it is
threaded into getPtrStride, which has the correct handling for the
Assume flag. Also note that the Stride == 1 check in isNoWrap is
incorrect: getPtrStride returns Strides == 1 or -1, except when
isNoWrapAddRec or Assume are true, assuming ShouldCheckWrap is true; we
can include the case of -1 Stride, and when isNoWrapAddRec is true. With
this change, passing Assume = true to getPtrStride could return a
non-unit stride, and we correctly handle that case as well.
Enabled initial support for max safe distance in DataWithEVL mode. If
max safe distance is required, need to emit special code:
CMP = icmp ult AVL, MAX_SAFE_DISTANCE
SAFE_AVL = select CMP, AVL, MAX_SAFE_DISTANCE
EVL = call i32 @llvm.experimental.get.vector.length(i64 SAFE_AVL)
while vectorize the loop in DataWithEVL tail folding mode.
Reviewers: fhahn
Reviewed By: fhahn
Pull Request: https://github.com/llvm/llvm-project/pull/102897
Use VPWidenIntrinsicRecipe
(https://github.com/llvm/llvm-project/pull/110486)
to create vp.select intrinsics. This potentially offers an alternative
to duplicating EVL recipes for all existing recipes.
There are some recipes that will need duplicates (at least at the
moment), due to extra code-gen needs (e.g. widening loads and stores).
But in cases the intrinsic can directly be used, creating the widened
intrinsic directly would reduce the need to duplicate some recipes.
PR: https://github.com/llvm/llvm-project/pull/110489
Any-of reductions are narrowed to i1. Update the legacy cost model to
use the correct type when computing the cost of a phi that gets lowered
to selects (BLEND).
This fixes a divergence between legacy and VPlan-based cost models after
36fc291b6ec6d.
Fixes https://github.com/llvm/llvm-project/issues/111874.
There are a number of places where we call getSmallConstantMaxTripCount
without passing a vector of predicates:
getSmallBestKnownTC
isIndvarOverflowCheckKnownFalse
computeMaxVF
isMoreProfitable
I've changed all of these to now pass in a predicate vector so that
we get the benefit of making better vectorisation choices when we
know the max trip count for loops that require SCEV predicate checks.
I've tried to add tests that cover all the cases affected by these
changes.
