When vectorizing code with function calls in it, if we encounter
a function which only has vectorized variants requiring a mask
we can synthesize an all-true mask to enable us to proceed.
Since we want the mask to be represented in vplan, the pointer
to the chosen Function is now stored as part of the
VPWidenCallRecipe, and mask arguments are added at the
appropriate index to the recipe operands.
Reviewed By: david-arm, fhahn, reames
Differential Revision: https://reviews.llvm.org/D132458
adjustFixedOrderRecurrences may insert instructions after immediately
after the PHI nodes in the block. This invalidates the phis() iterator.
To avoid crashing/accessing invalid recipes, first collect all
first-order recurrence phi recipes.
This should fix a crash reported by @dmgreen after D142589 landed.
Fixed issue where 'ConstantInt::get(IndextTy, -Part)' was executed with the wrong type for Part,
e.g. IndexTy was i64, but Part was 'unsigned', which led to things like 'mul i64 .., 4294967292',
which was obviously wrong.
Also changed sve-vector-reverse.ll to be vectorized with UF>1 to test this.
This reverts commit 1f01cdda68614dba12af3cc3aff38541d0abcc6b.
This is specifically relevant for loops that vectorize using a scalable VF,
where the code results in:
%vscale = call i32 llvm.vscale.i32()
%vf.part1 = mul i32 %vscale, 4
%gep = getelementptr ..., i32 %vf.part1
Which InstCombine then changes into:
%vscale = call i32 llvm.vscale.i32()
%vf.part1 = mul i32 %vscale, 4
%vf.part1.zext = sext i32 %vf.part1 to i64
%gep = getelementptr ..., i32 %vf.part1.zext
D143016 tried to remove these extends, but that only works when
the call to llvm.vscale.i32() has a single use. After doing any
kind of CSE on these calls the combine no longer kicks in.
It seems more sensible to ask DataLayout what type to use, rather
than relying on InstCombine to insert the extend and hoping it can
fold it away.
I've only changed this for indices that are not constant, because
I vaguely remember there was a reason for sticking with i32. It
would also mean patching up loads more tests.
Reviewed By: paulwalker-arm
Differential Revision: https://reviews.llvm.org/D143267
Update a few tests to add users to loads to avoid them being optimized
out by future changes. In cases the unused loads didn't matter for the
test, remove them.
This artifact can appear from the vectorizer. (add X, -1) is the
backedge taken count. It gets zero extended and then 1 is added to
it to get the trip count.
There is usually a dominating branch that rules out X being zero.
Alive: https://alive2.llvm.org/ce/z/NsRDwX
It enables trigonometry functions vectorization via SLEEF: http://sleef.org/.
- A new vectorization library enum is added to TargetLibraryInfo.h: SLEEF.
- A new option is added to TargetLibraryInfoImpl - ClVectorLibrary: SLEEF.
- A comprehensive test case is included in this changeset.
- A new vectorization library argument is added to -fveclib: -fveclib=SLEEF.
Trigonometry functions that are vectorized by sleef:
acos
asin
atan
atanh
cos
cosh
exp
exp2
exp10
lgamma
log10
log2
log
sin
sinh
sqrt
tan
tanh
tgamma
Co-authored-by: Stefan Teleman
Reviewed By: paulwalker-arm
Differential Revision: https://reviews.llvm.org/D134719
IR is now always parsed in opaque pointer mode, unless
-opaque-pointers=0 is explicitly given. There is no automatic
detection of typed pointers anymore.
The -opaque-pointers=0 option is added to any remaining IR tests
that haven't been migrated yet.
Differential Revision: https://reviews.llvm.org/D141912
Instcombine prefers this canonical form (see getPreferredVectorIndex),
as does IRBuilder when passing the index as an integer so we may as
well use the prefered form from creation.
NOTE: All test changes are mechanical with nothing else expected
beyond a change of index type from i32 to i64.
Differential Revision: https://reviews.llvm.org/D140983
Check lines for some of these tests were regenerated. The difference
is that with opaque pointers SCEVExpander always emits i8 GEPs,
making the address calculation explicit. This is a known problem
that will be solved long term by making all address calculations
explicit.
This mirrors a similar shufflevector transformation so the same
effect is obtained for scalable vectors. The transformation is
only performed when it can be proven the number of resulting
reversals is not increased. By bubbling the reversals from operand
to result this should typically be the case and ideally leads to
back-back shuffles that can be elimitated entirely.
Differential Revision: https://reviews.llvm.org/D139342
This mirrors a similar shufflevector transformation so the same
effect is obtained for scalable vectors. The transformation is
only performed when it can be proven the number of resulting
reversals is not increased. By bubbling the reversals from operand
to result this should typically be the case and ideally leads to
back-back shuffles that can be elimitated entirely.
Differential Revision: https://reviews.llvm.org/D139340
Code generation now uses the start VPValue of induction recipes.
This makes it possible to adjust the start value of the epilogue
vector loop to use the 'resume' value of the main vector loop.
Fixes#59459.
Reviewed By: Ayal
Differential Revision: https://reviews.llvm.org/D92132
This reverts commit bf15f1e489aa2f1ac13268c9081a992a8963eb5b.
The updated version fixes a crash by checking the induction kind instead
of the opcode; for integer inductions, the step is always added, but the
opcode might not be set.
This patch splits off the logic to transform the canonical IV to a
a value for an induction with a different start and step. This
transformation only needs to be done once (independent of VF/UF) and
enables sinking of VPScalarIVStepsRecipe as follow-up.
Reviewed By: Ayal
Differential Revision: https://reviews.llvm.org/D133758
For a min and max reduction idioms, the identity (i.e. neutral) element
should be datatype's highest and lowest possible values respectively.
Current implementation in IVDescriptors incorrectly returns -Inf for FMin
reduction and +Inf for FMax reduction. This patch fixes this bug which
was causing incorrect reduction computation results in loops vectorized
by LV.
Differential Revision: https://reviews.llvm.org/D137220
In D136659 I found a few tests that write through readonly parameters:
* Analysis/BasicAA/pr18573.ll: @foo1 writes through %arr.ptr, but declares it
readonly. I removed the readonly annotation.
* CodeGen/ARM/ParallelDSP/aliasing.ll: @restrict writes through the readonly
%arg3, @store_alias_arg3_illegal_1 writes through the readonly %arg3, and
@store_alias_arg3_illegal_2 writes through the readonly %arg3. I removed
readonly from all three. Also, I added some CHECK-LABEL directives to make it
harder for FileCheck output to be mixed up.
* Transforms/LoopVectorize/AArch64/sve-gather-scatter.ll:
@gather_nxv4i32_ind64_stride2 writes through the readonly %a. I removed the
readonly attribute.
* Transforms/LoopVectorize/interleaved-accesses.ll: @load_gap_reverse writes
through the readonly %P1 and %P2. Also, the corresponding C code in the comment
didn't match the test. I removed the readonly attribute from both parameters
and corrected the C code.
Differential Revision: https://reviews.llvm.org/D136880
Canonicalize GEP of GEP by swapping GEP with some suffix constant indices to the back (and GEP with all constant indices to the back of that), this allows more constant index GEP merging to happen. Exceptions are: If swapping violates use-def relations, or anti-optimizes LICM
For constant indexed GEP of GEP, if they cannot be merged directly, they will be casted to i8* and merged.
Reviewed By: nikic
Differential Revision: https://reviews.llvm.org/D125845
The code in buildScalarSteps already properly handles creating the
scalar induction values with VF = 1. Use it directly instead of using
extra code to handle that case.
Suggested by @Ayal in D133760.
When the SME attributes tell that a function is or may be executed in Streaming
SVE mode, we currently need to be conservative and disable _any_ vectorization
(fixed or scalable) because the code-generator does not yet support generating
streaming-compatible code.
Scalable auto-vec will be gradually enabled in the future when we have
confidence that the loop-vectorizer won't use any SVE or NEON instructions
that are illegal in Streaming SVE mode.
Reviewed By: paulwalker-arm
Differential Revision: https://reviews.llvm.org/D135950
Currently, AArch64 doesn't support vectorization for non temporal loads because `isLegalNTLoad` is not implemented for the target.
This patch applies similar functionality as `D73158` but for non temporal loads
Reviewed By: fhahn
Differential Revision: https://reviews.llvm.org/D131964
Follow up to D133580; adjust the cost model to prefer uniform store lowering for scalable stores which are unpredicated.
The impact here isn't in the uniform store lowering quality itself. InstCombine happily converts the scatter form into the single store form. The main impact is in letting the rest of the cost model make choices based on the knowledge that the vector will be scalarized on use.
Differential Revision: https://reviews.llvm.org/D134460
The dependent code has been changed quite a lot since 151c144 which
b73d2c8 effectively reverts. Now we run into a case where lowering
didn't expect/support the behavior pre 151c144 any longer.
Update the code dealing with scalable pointer inductions to also check
for uniformity in combination with isScalarAfterVectorization. This
should ensure scalable pointer inductions are handled properly during
epilogue vectorization.
Fixes#57912.
This extends the previously added uniform store case to handle stores of loop varying values to a loop invariant address. Note that the placement of this code only allows unpredicated stores; this is important for correctness. (That is "IsPredicated" is always false at this point in the function.)
This patch does not include scalable types. The diff felt "large enough" as it were; I'll handle that in a separate patch. (It requires some changes to cost modeling.)
Differential Revision: https://reviews.llvm.org/D133580
This stops Negator from transforming:
`C1 - shl X, C2 --> mul X, (1<<C2) + C1`
...in the general case. There does not seem to be any analysis
benefit to using mul in IR, and there's definitely downside in
codegen (particularly when the multiply has to be expanded).
If `C1` is 0, then there's a stronger argument that the single
mul is a better canonicalization than negate-of-shl, but we may
want to remove that too.
This was noted as a potential conflict for D133667.
Differential Revision: https://reviews.llvm.org/D134310
Epilogue vectorization uses isScalarAfterVectorization to check if
widened versions for inductions need to be generated and bails out in
those cases.
At the moment, there are scenarios where isScalarAfterVectorization
returns true but VPWidenPointerInduction::onlyScalarsGenerated would
return false, causing widening.
This can lead to widened phis with incorrect start values being created
in the epilogue vector body.
This patch addresses the issue by storing the cost-model decision in
VPWidenPointerInductionRecipe and restoring the behavior before 151c144.
This effectively reverts 151c144, but the long-term fix is to properly
support widened inductions during epilogue vectorization
Fixes#57712.
This was originally part of D133788. There are no visible
regressions. All of the diffs show a large unsigned constant
becoming a small negative constant. This should be better
for analysis (and slightly less compile-time) and codegen.
This patch moves the cost-based decision whether to use an intrinsic or
library call to the point where the recipe is created. This untangles
code-gen from the cost model and also avoids doing some extra work as
the information is already computed at construction.
Reviewed By: Ayal
Differential Revision: https://reviews.llvm.org/D132585
