This patch is separated from D154953 to see what tests are affected by this
change alone according comment.
Depend on the related updating of LangRef on D155193.
Reviewed By: paulwalker-arm, nikic, david-arm
Differential Revision: https://reviews.llvm.org/D155350
Arm Performance Libraries contain math library which provides
vectorized versions of common math functions.
This patch allows to use it with clang and llvm via -fveclib=ArmPL or
-vector-library=ArmPL, so loops with such calls can be vectorized.
The executable needs to be linked with the amath library.
Arm Performance Libraries are available at:
https://developer.arm.com/Tools%20and%20Software/Arm%20Performance%20Libraries
Reviewed by: paulwalker-arm
Differential Revision: https://reviews.llvm.org/D154508
This patch extends LoopVectorize to handle the vectorization of interleaved
memory accesses with scalable vectors when mask is required or/and predicated
tail folding is enabled.
Differential Revision: https://reviews.llvm.org/D152258
Also replace aarch64_be-*-eabi with aarch64_be
Using "eabi" for aarch64 targets is a common mistake and warned by Clang Driver.
We want to avoid it elsewhere as well. Just use the common "aarch64" without
other triple components.
Reviewed By: MaskRay
Differential Revision: https://reviews.llvm.org/D153943
This patch uses the (de)interleaving intrinsics introduced in
D141924 to handle vectorization of interleaving groups with a
factor of 2 for scalable vectors.
Reviewed By: fhahn, reames
Differential Revision: https://reviews.llvm.org/D145163
For Neon, the default nonconst stride cost is conservative,
and it is a local variable, which is not convenience to
to tune the loop vectorize.
So I try to use a option, which is similar to SVEGatherOverhead brought in D115143.
Fix https://github.com/llvm/llvm-project/issues/63082.
Reviewed By: dmgreen, fhahn
Differential Revision: https://reviews.llvm.org/D152253
Update collectLoopUniforms to identify uniform pointers using
Legal::isUniform. This is more powerful and brings pointer
classification here in sync with setCostBasedWideningDecision
which uses isUniformMemOp. The existing mis-match in reasoning
can causes crashes due to D134460, which is fixed by this patch.
Fixes https://github.com/llvm/llvm-project/issues/60831.
Reviewed By: Ayal
Differential Revision: https://reviews.llvm.org/D150991
Implement precise nuw/nsw support in the KnownBits implementation,
replacing the rather crude handling in ValueTracking.
Differential Revision: https://reviews.llvm.org/D151208
Now that IR flags are modeled as part of VPRecipeWithIRFlags, include
the flags when printing recipes.
Depends on D150027.
Reviewed By: Ayal
Differential Revision: https://reviews.llvm.org/D150029
We noticed some runtime performance improvements by disabling maximising
bandwidth for streaming compatible sve.
Differential Revision: https://reviews.llvm.org/D150336
This patch enables the tail-folding of simple loops by default
when targeting the neoverse-v1 CPU. Simple loops exclude those
with recurrences or reductions or loops that are reversed.
New tests have been added here:
Transforms/LoopVectorize/AArch64/sve-tail-folding-option.ll
In terms of SPEC2017 only one benchmark is really affected when
building with "-Ofast -mcpu=neoverse-v1 -flto", which is
(+ faster, - slower):
525.x264: +7.0%
Differential Revision: https://reviews.llvm.org/D130618
This is a follow-up to b71edfaa4ec3c998aadb35255ce2f60bba2940b0
since I forgot the lit.local.cfg files in that one.
Reformatting is done with `black`.
If you end up having problems merging this commit because you
have made changes to a python file, the best way to handle that
is to run git checkout --ours <yourfile> and then reformat it
with black.
If you run into any problems, post to discourse about it and
we will try to help.
RFC Thread below:
https://discourse.llvm.org/t/rfc-document-and-standardize-python-code-style
Reviewed By: barannikov88, kwk
Differential Revision: https://reviews.llvm.org/D150762
This patch does simple refactoring of the tail-folding
option in preparation for enabling tail-folding by
default for neoverse-v1. It adds a default tail-folding
option field to the AArch64Subtarget class that can
be set on a per-CPU.
Differential Revision: https://reviews.llvm.org/D149659
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
