To generate cast instructions, the result type is needed. To allow
creating widened casts without underlying instruction, introduce a new
VPWidenCastRecipe that also holds the result type.
This functionality will be used in a follow-up patch to
implement truncateToMinimalBitwidths as VPlan-to-VPlan transform.
Reviewed By: Ayal
Differential Revision: https://reviews.llvm.org/D149081
This patch adds a new preheader block the VPlan to place SCEV expansions
expansions like the trip count. This preheader block is disconnected
at the moment, as the bypass blocks of the skeleton are not yet modeled
in VPlan.
The preheader block is executed before skeleton creation, so the SCEV
expansion results can be used during skeleton creation. At the moment,
the trip count expression and induction steps are expanded in the new
preheader. The remainder of SCEV expansions will be moved gradually in
the future.
D147965 will update skeleton creation to use the steps expanded in the
pre-header to fix#58811.
Reviewed By: Ayal
Differential Revision: https://reviews.llvm.org/D147964
This patch reverts rGae739aefd7473517d3f08b5c8d08a66c7f469198 to address performance regressions reported by our [CI](https://github.com/dtcxzyw/llvm-ci/issues/137) after rG2ec1d0f427c7822540352c0c14d057e7bfe4f77b.
For example:
```
define ptr @const_gep_chain(ptr %p, i64 %a) {
%p1 = getelementptr inbounds i8, ptr %p, i64 %a
%p2 = getelementptr inbounds i8, ptr %p1, i64 1
%p3 = getelementptr inbounds i8, ptr %p2, i64 2
%p4 = getelementptr inbounds i8, ptr %p3, i64 3
ret ptr %p4
}
```
The last three GEPs will not be folded since rG2ec1d0f427c7822540352c0c14d057e7bfe4f77b.
I think it is appropriate to remove this code because there is no compile-time regression reported in our benchmarks.
Reviewed By: nikic
Differential Revision: https://reviews.llvm.org/D149240
With this patch an undefined mask in a shufflevector will be printed as poison.
This change is done to support the new shufflevector semantics
for undefined mask elements.
Differential Revision: https://reviews.llvm.org/D149210
Now that we store the ScalarCost in the VectorizationFactor it is possible to
use it to get a slightly more accurate cost in isMoreProfitable between two
vector factors. This extends the logic added in D101726 to non-tail-folded
cases, using the costs of `VecCost * (TripCount / VF) + ScalarCost * (TripCount % VF)`
to compare VFs where the TripCount is known and we are not folding the tail.
This shouldn't alter very much as small trip counts are usually not vectorized,
but does seem to help in the testcase where 4 * VF4 is chosen as profitable
compared to 2 * VF8 + 4 * scalar.
Differential Revision: https://reviews.llvm.org/D147720
In LoopVectorizationCostModel::isEpilogueVectorizationProfitable we
check to see if the chosen main vector loop VF >= 16. If so, we
decide to create a vector epilogue loop. However, this doesn't
take VScaleForTuning into account because we could be targeting a
CPU where vscale > 1, and hence the runtime VF would be a multiple
of the known minimum value.
This patch multiplies scalable VFs by VScaleForTuning and several
tests have been updated that now produce vector epilogues.
Differential Revision: https://reviews.llvm.org/D147522
Based off D148215, when expanding a min/max reduction we should be creating min/max intrinsics directly instead of relying on instcombine to fold them back together.
This patch handles integer min/max cases. Hopefully we can add floating point support soon (at least for fastmath/nnan cases) - but we're missing some of the plumbing to pass the correct FMF to the intrinsic at the moment.
Differential Revision: https://reviews.llvm.org/D148221
Move the code to collect live-out earlier and only generate extracts for
exit values if there are any live-outs that use them.
Depends on D147472.
Reviewed By: Ayal
Differential Revision: https://reviews.llvm.org/D147567
In getInstructionCost if we know a zext/sext is going to be shrunk
we should only be changing the destination type, and leave the
source type unchanged. For example, we may change a zext from
zext <16 x i8> %a to <16 x i32>
to
zext <16 x i8> %a to <16 x i16>
However, we were previously calculating the cost for doing
zext <16 x i16> %a to <16 x i16>
which is incorrect.
Differential Revision: https://reviews.llvm.org/D147152
LLVM has the ability to vectorize using function variants that require
a mask by creating an all-true mask, and to vectorize a conditional
call via scalarization, now we want to join the two parts together
and use a masked variant when a mask is required.
Reviewed By: david-arm
Differential Revision: https://reviews.llvm.org/D136251
This commit extends D134719 "[AArch64] Enable libm vectorized
functions via SLEEF" with the mappings for the scalable functions.
It also introduces all the necessary changes needed to support masked
interfaces.
Reviewed By: danielkiss, sdesmalen
Differential Revision: https://reviews.llvm.org/D146839
This commit extends D134719 "[AArch64] Enable libm vectorized
functions via SLEEF" with the mappings for the scalable functions.
It also introduces all the necessary changes needed to support masked
interfaces.
Signed-off-by: Paul Osmialowski <pawel.osmialowski@arm.com>
If we use tail-folding for reverse loops that contain loads
and stores then we will need to reverse the loop predicate.
This patch adds a new 'reverse' sve-tail-folding option and
ensures they are not considered 'simple'.
I did this by adding a function called
containsDecreasingPointers to AArch64TargetTransformInfo.cpp
that searches all instructions in the loop for loads or
stores with negative strides.
Differential Revision: https://reviews.llvm.org/D146128
Currently in LoopVectorize we avoid tail-folding if we can
prove the trip count is always a multiple of the maximum
fixed-width VF. This works because we know the vectoriser
only ever chooses a VF that is a power of 2. However, if
we are also considering scalable VFs then we conservatively
bail out of the optimisation because we don't know the value
of vscale, which could be an odd or prime number, etc.
This patch tries to enable the same optimisation for scalable
VFs by asking if vscale is known to be a power of 2. If so,
we can then query the maximum value of vscale and use the same
logic as we do for fixed-width VFs. I've also added a new TTI
hook called isVScaleKnownToBeAPowerOfTwo that does the same
thing as the existing TargetLowering hook.
Differential Revision: https://reviews.llvm.org/D146199
Quite a few vectoriser tests were using a trip count of 1024,
which meant:
1. For fixed-length VFs we would never actually tail-fold, e.g.
see Transforms/LoopVectorize/RISCV/uniform-load-store.ll. This
is because we can prove at compile-time there will never be a
scalar tail.
2. As of D146199 the same optimisation mentioned above will also
apply to scalable VFs too.
I've changed all such trip counts to be 1025 instead.
Differential Revision: https://reviews.llvm.org/D146219
The TripCount liveins would currently be printed as badref in the vplan as they
are not allocated slots in the VPSlotTracker. This patch allocates them a slot
and adds them to the printed Live-Ins. It also makes a minor adjustment to
printing of Live-ins to reduce the empty lines when multiple Live-ins are
present.
Differential Revision: https://reviews.llvm.org/D145507
DFAJumpThreading
JumpThreading
LibCallsShrink
LoopVectorize
SLPVectorizer
DeadStoreElimination
AggressiveDCE
CorrelatedValuePropagation
IndVarSimplify
These are part of the optimization pipeline, of which the legacy version is deprecated and being removed.
Since AArch64 has sqrt instructions, we want to use those instead of
calls to vector math routines for llvm sqrt intrinsics (since those
don't imply some of the constraints that libm calls might have) so
we just remove the mappings.
Code originally written by mgabka
Reviewed By: danielkiss, paulwalker-arm
Differential Revision: https://reviews.llvm.org/D145392
This patch adds support for scalarizing calls to a function when
there is a vector variant that cannot be used, either because there
isn't a masked variant or because the cost model indicated a VF
without a masked variant was better.
Reviewed By: paulwalker-arm
Differential Revision: https://reviews.llvm.org/D134422
This work follows on from D142109 and addresses a possible regression
when we know the loop iteration counter cannot overflow.
When we know the overflow-check always evaluates to false, it's better to
use the other style of tail folding where it assumes a runtime check was
added, because that avoids having to calculate a modified trip-count.
Reviewed By: paulwalker-arm
Differential Revision: https://reviews.llvm.org/D142894
When using tail-folding and using the predicate for both data and control-flow
(the next vector iteration's predicate is generated with the llvm.active.lane.mask
intrinsic and then tested for the backedge), the LoopVectorizer still inserts a
runtime check to see if the 'i + VF' may at any point overflow for the given
trip-count. When it does, it falls back to a scalar epilogue loop.
We can get rid of that runtime check in the pre-header and therefore also
remove the scalar epilogue loop. This reduces code-size and avoids a runtime
check.
Consider the following loop:
void foo(char * __restrict__ dst, char *src, unsigned long N) {
for (unsigned long i=0; i<N; ++i)
dst[i] = src[i] + 42;
}
If 'N' is e.g. ULONG_MAX, and the VF > 1, then the loop iteration counter
will overflow when calculating the predicate for the next vector iteration
at some point, because LLVM does:
vector.ph:
%active.lane.mask.entry = tail call <vscale x 16 x i1> @llvm.get.active.lane.mask.nxv16i1.i64(i64 0, i64 %N)
vector.body:
%index = phi i64 [ 0, %vector.ph ], [ %index.next, %vector.body ]
%active.lane.mask = phi <vscale x 16 x i1> [ %active.lane.mask.entry, %vector.ph ], [ %active.lane.mask.next, %vector.body ]
...
%index.next = add i64 %index, 16
; The add above may overflow, which would affect the lane mask and control flow. Hence a runtime check is needed.
%active.lane.mask.next = tail call <vscale x 16 x i1> @llvm.get.active.lane.mask.nxv16i1.i64(i64 %index.next, i64 %N)
%8 = extractelement <vscale x 16 x i1> %active.lane.mask.next, i64 0
br i1 %8, label %vector.body, label %for.cond.cleanup, !llvm.loop !7
The solution:
What we can do instead is calculate the predicate before incrementing
the loop iteration counter, such that the llvm.active.lane.mask is
calculated from 'i' to 'tripcount > VF ? tripcount - VF : 0', i.e.
vector.ph:
%active.lane.mask.entry = tail call <vscale x 16 x i1> @llvm.get.active.lane.mask.nxv16i1.i64(i64 0, i64 %N)
%N_minus_VF = select %N > 16 ? %N - 16 : 0
vector.body:
%index = phi i64 [ 0, %vector.ph ], [ %index.next, %vector.body ]
%active.lane.mask = phi <vscale x 16 x i1> [ %active.lane.mask.entry, %vector.ph ], [ %active.lane.mask.next, %vector.body ]
...
%active.lane.mask.next = tail call <vscale x 16 x i1> @llvm.get.active.lane.mask.nxv16i1.i64(i64 %index, i64 %N_minus_VF)
%index.next = add i64 %index, %4
; The add above may still overflow, but this time the active.lane.mask is not affected
%8 = extractelement <vscale x 16 x i1> %active.lane.mask.next, i64 0
br i1 %8, label %vector.body, label %for.cond.cleanup, !llvm.loop !7
For N = 20, we'd then get:
vector.ph:
%active.lane.mask.entry = tail call <vscale x 16 x i1> @llvm.get.active.lane.mask.nxv16i1.i64(i64 0, i64 %N)
; %active.lane.mask.entry = <1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1>
%N_minus_VF = select 20 > 16 ? 20 - 16 : 0
; %N_minus_VF = 4
vector.body: (1st iteration)
... ; using <1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1> as predicate in the loop
...
%active.lane.mask.next = tail call <vscale x 16 x i1> @llvm.get.active.lane.mask.nxv16i1.i64(i64 0, i64 4)
; %active.lane.mask.next = <1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>
%index.next = add i64 0, 16
; %index.next = 16
%8 = extractelement <vscale x 16 x i1> %active.lane.mask.next, i64 0
; %8 = 1
br i1 %8, label %vector.body, label %for.cond.cleanup, !llvm.loop !7
; branch to %vector.body
vector.body: (2nd iteration)
... ; using <1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0> as predicate in the loop
...
%active.lane.mask.next = tail call <vscale x 16 x i1> @llvm.get.active.lane.mask.nxv16i1.i64(i64 16, i64 4)
; %active.lane.mask.next = <0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>
%index.next = add i64 16, 16
; %index.next = 32
%8 = extractelement <vscale x 16 x i1> %active.lane.mask.next, i64 0
; %8 = 0
br i1 %8, label %vector.body, label %for.cond.cleanup, !llvm.loop !7
; branch to %for.cond.cleanup
Reviewed By: fhahn, david-arm
Differential Revision: https://reviews.llvm.org/D142109
Previously, while calculating register usage due to invariants, it was assumed that invariant would always be part of widening
instructions. This resulted in calculating vector register types for vectors which cant be legalized(check the newly added test for more details).
An invariant might not always need a vector register. For e.g., invariant might just be used for iteration check.
This patch checks if the invariant is part of any widening instruction and considers register usage accordingly. Fixes issue 60493
Differential Revision: https://reviews.llvm.org/D143422
Previously, while calculating register usage due to invariants, it was assumed that invariant would always be part of widening
instructions. This resulted in calculating vector register types for vectors which cant be legalized(check the newly added test for more details).
An invariant might not always need a vector register. For e.g., invariant might just be used for iteration check.
This patch checks if the invariant is part of any widening instruction and considers register usage accordingly. Fixes issue 60493
Differential Revision: https://reviews.llvm.org/D143422
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
