Need to check the first instruction instead of first scalar for
subvectors, when trying to find full matched vectorized node in the
graph.
Fixes#126909.
When building the reorder for non-single use reuse mask, need to check
if the size of the mask is multiple of the number of unique scalars.
Otherwise, the compiler may crash when trying to reorder nodes.
Fixes#126304
If the calls won't be vectorized, but will be scalarized after
vectorization, they should be build as buildvector nodes, not vector
nodes. Vectorization of such calls leads to incorrect cost estimation,
does not allow to calculate correctly spills costs.
Reviewers: lukel97, preames
Reviewed By: preames
Pull Request: https://github.com/llvm/llvm-project/pull/125070
Better to use TTI::getScalarizationOverhead instead of
TTI::getVectorInstrCost to correctly calculate the costs of
buildvectors/extracts.
Reviewers: RKSimon
Reviewed By: RKSimon
Pull Request: https://github.com/llvm/llvm-project/pull/125725
We were only constructing the IntrinsicCostAttributes with the arg type info, and not the args themselves, preventing more detailed cost analysis (constant / uniform args etc.)
Just pass the whole IntrinsicInst to the constructor and let it resolve everything it can.
Noticed while having yet another attempt at #63980
Reapplied cleanup now that #125223 and #124984 have landed.
Patch tries to remove wide alternate operations.
Currently SLP vectorizer emits something like this:
```
%0 = add i32
%1 = sub i32
%2 = add i32
%3 = sub i32
%4 = add i32
%5 = sub i32
%6 = add i32
%7 = sub i32
transformes to
%v1 = add <8 x i32>
%v2 = sub <8 x i32>
%res = shuffle %v1, %v2, <0, 9, 2, 11, 4, 13, 6, 15>
```
i.e. half of the results are just unused. This leads to increased
register pressure and potentially doubles number of operations.
Patch introduces SplitVectorize mode, where it splits the operations by
opcodes and produces instead something like this:
```
%v1 = add <4 x i32>
%v2 = sub <4 x i32>
%res = shuffle %v1, %v2, <0, 4, 1, 5, 2, 6, 3, 7>
```
It allows to improve the performance by reducing number of ops. Also, it
turns on some other improvements, like improved graph reordering.
-O3+LTO, AVX512
Metric: size..text
Program size..text
results results0 diff
test-suite :: MultiSource/Benchmarks/Prolangs-C/TimberWolfMC/timberwolfmc.test 277800.00 280536.00 1.0%
test-suite :: MultiSource/Benchmarks/FreeBench/pifft/pifft.test 81802.00 82426.00 0.8%
test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test 790552.00 790952.00 0.1%
test-suite :: MultiSource/Applications/JM/ldecod/ldecod.test 383795.00 383987.00 0.1%
test-suite :: External/SPEC/CINT2017speed/600.perlbench_s/600.perlbench_s.test 2075541.00 2076501.00 0.0%
test-suite :: External/SPEC/CINT2017rate/500.perlbench_r/500.perlbench_r.test 2075541.00 2076501.00 0.0%
test-suite :: MultiSource/Benchmarks/Bullet/bullet.test 312702.00 312766.00 0.0%
test-suite :: External/SPEC/CFP2017rate/526.blender_r/526.blender_r.test 12569783.00 12569751.00 -0.0%
test-suite :: External/SPEC/CFP2017rate/510.parest_r/510.parest_r.test 2049374.00 2049358.00 -0.0%
test-suite :: External/SPEC/CINT2006/400.perlbench/400.perlbench.test 1091836.00 1091772.00 -0.0%
test-suite :: MultiSource/Applications/JM/lencod/lencod.test 852339.00 852211.00 -0.0%
test-suite :: MultiSource/Applications/oggenc/oggenc.test 190651.00 190523.00 -0.1%
test-suite :: MultiSource/Benchmarks/DOE-ProxyApps-C/miniGMG/miniGMG.test 44203.00 44155.00 -0.1%
test-suite :: SingleSource/UnitTests/Vector/AVX512BWVL/Vector-AVX512BWVL-mask_set_bw.test 12997.00 12981.00 -0.1%
test-suite :: External/SPEC/CINT2017speed/625.x264_s/625.x264_s.test 668971.00 658427.00 -1.6%
test-suite :: External/SPEC/CINT2017rate/525.x264_r/525.x264_r.test 668971.00 658427.00 -1.6%
Prolangs-C/TimberWolfMC/timberwolfmc - small variations, some code not
inlined
FreeBench/pifft - extra stores <8 x double> vectorized, some other extra
vectorizations
CINT2006/464.h264ref - some smaller code + changes similar to x264
JM/ldecod - changes similar x264
CINT2017speed/600.perlbench_s
CINT2017rate/500.perlbench_r - significantly compact vector code
Benchmarks/Bullet - small variations
CFP2017rate/526.blender_r - small variations
CFP2017rate/510.parest_r - small variations
CINT2006/400.perlbench - extra vector code
JM/lencod - extra store <16 x i32> and other changes similar x264
Applications/oggenc - extra store <16 x i8>, small variations
DOE-ProxyApps-C/miniGMG - small variations
Vector/AVX512BWVL/Vector-AVX512BWVL-mask_set_bw - better vector code
CINT2017speed/625.x264_s
CINT2017rate/525.x264_r - the number of instructions increased, but
looks like they are more performant. E.g., for function
x264_pixel_satd_8x8, llvm-mca reports better throughput - 84 for the
current version and 59 for the new version.
-O3+LTO, march=rva32u64
CINT2017rate/525.x264_r - similar to x86, extra code in pixel_hadamard_ac
function vectorized, idct4x4dc stopped being vectorized (looks like
issue with shuffles cost)
CINT2006/400.perlbench - better vector code
CINT2006/445.gobmk - some variations in vector code
CINT2006/464.h264ref - extra code vectorized
CINT2017rate/500.perlbench_r - small variations
-O3+LTO, mcpu=sifive-p470
Metric: size..text
Program size..text
results results0 diff
test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test 587336.00 587668.00 0.1%
test-suite :: MultiSource/Applications/JM/lencod/lencod.test 643308.00 643614.00 0.0%
test-suite :: MultiSource/Applications/d/make_dparser.test 79678.00 79710.00 0.0%
test-suite :: MultiSource/Benchmarks/Bullet/bullet.test 277322.00 277420.00 0.0%
test-suite :: External/SPEC/CINT2006/400.perlbench/400.perlbench.test 933660.00 933682.00 0.0%
test-suite :: External/SPEC/CFP2017rate/526.blender_r/526.blender_r.test 9497722.00 9497682.00 -0.0%
test-suite :: External/SPEC/CINT2017rate/500.perlbench_r/500.perlbench_r.test 1767806.00 1767772.00 -0.0%
test-suite :: External/SPEC/CINT2017speed/600.perlbench_s/600.perlbench_s.test 1767806.00 1767772.00 -0.0%
test-suite :: MultiSource/Benchmarks/MiBench/consumer-lame/consumer-lame.test 148038.00 148024.00 -0.0%
test-suite :: MultiSource/Applications/JM/ldecod/ldecod.test 283036.00 283008.00 -0.0%
test-suite :: MultiSource/Benchmarks/mediabench/g721/g721encode/encode.test 4776.00 4772.00 -0.1%
test-suite :: External/SPEC/CINT2017rate/525.x264_r/525.x264_r.test 540582.00 511772.00 -5.3%
test-suite :: External/SPEC/CINT2017speed/625.x264_s/625.x264_s.test 540582.00 511772.00 -5.3%
CINT2006/464.h264ref - extra vector code in find_sad_16x16
JM/lencod - extra vector code in find_sad_16x16
d/make_dparser - smaller vector code
Benchmarks/Bullet - small variations
CINT2006/400.perlbench - smaller vector code
CFP2017rate/526.blender_r - small variations, extra store <8 x float> in
the loop, extra store <8 x i8> in loop
CINT2017rate/500.perlbench_r
CINT2017speed/600.perlbench_s - small variations
MiBench/consumer-lame - small variations
JM/ldecod - extra vector code
mediabench/g721/g721encode - small variations
CINT2017rate/525.x264_r
CINT2017speed/625.x264_s - reduced number of wide operations and
shuffles, saving the registers, similar to X86, extra code in
pixel_hadamard_ac vectorized, idct4x4dc not vectorized (issue with some
TTI costs)
Reviewers: RKSimon, hiraditya
Reviewed By: RKSimon
Pull Request: https://github.com/llvm/llvm-project/pull/123360
Need to use the size of the gathered scalars, not the original size of
the buildvector scalars, since gathered scalar size might be changed
during building the buildvector shuffles.
Fixes#125259
Note that PointerUnion::dyn_cast has been soft deprecated in
PointerUnion.h:
// FIXME: Replace the uses of is(), get() and dyn_cast() with
// isa<T>, cast<T> and the llvm::dyn_cast<T>
Literal migration would result in dyn_cast_if_present (see the
definition of PointerUnion::dyn_cast), but this patch uses dyn_cast
because we expect InVectors.front() and P to be nonnull.
Patch tries to remove wide alternate operations.
Currently SLP vectorizer emits something like this:
```
%0 = add i32
%1 = sub i32
%2 = add i32
%3 = sub i32
%4 = add i32
%5 = sub i32
%6 = add i32
%7 = sub i32
transformes to
%v1 = add <8 x i32>
%v2 = sub <8 x i32>
%res = shuffle %v1, %v2, <0, 9, 2, 11, 4, 13, 6, 15>
```
i.e. half of the results are just unused. This leads to increased
register pressure and potentially doubles number of operations.
Patch introduces SplitVectorize mode, where it splits the operations by
opcodes and produces instead something like this:
```
%v1 = add <4 x i32>
%v2 = sub <4 x i32>
%res = shuffle %v1, %v2, <0, 4, 1, 5, 2, 6, 3, 7>
```
It allows to improve the performance by reducing number of ops. Also, it
turns on some other improvements, like improved graph reordering.
-O3+LTO, AVX512
Metric: size..text
Program size..text
results results0 diff
test-suite :: MultiSource/Benchmarks/Prolangs-C/TimberWolfMC/timberwolfmc.test 277800.00 280536.00 1.0%
test-suite :: MultiSource/Benchmarks/FreeBench/pifft/pifft.test 81802.00 82426.00 0.8%
test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test 790552.00 790952.00 0.1%
test-suite :: MultiSource/Applications/JM/ldecod/ldecod.test 383795.00 383987.00 0.1%
test-suite :: External/SPEC/CINT2017speed/600.perlbench_s/600.perlbench_s.test 2075541.00 2076501.00 0.0%
test-suite :: External/SPEC/CINT2017rate/500.perlbench_r/500.perlbench_r.test 2075541.00 2076501.00 0.0%
test-suite :: MultiSource/Benchmarks/Bullet/bullet.test 312702.00 312766.00 0.0%
test-suite :: External/SPEC/CFP2017rate/526.blender_r/526.blender_r.test 12569783.00 12569751.00 -0.0%
test-suite :: External/SPEC/CFP2017rate/510.parest_r/510.parest_r.test 2049374.00 2049358.00 -0.0%
test-suite :: External/SPEC/CINT2006/400.perlbench/400.perlbench.test 1091836.00 1091772.00 -0.0%
test-suite :: MultiSource/Applications/JM/lencod/lencod.test 852339.00 852211.00 -0.0%
test-suite :: MultiSource/Applications/oggenc/oggenc.test 190651.00 190523.00 -0.1%
test-suite :: MultiSource/Benchmarks/DOE-ProxyApps-C/miniGMG/miniGMG.test 44203.00 44155.00 -0.1%
test-suite :: SingleSource/UnitTests/Vector/AVX512BWVL/Vector-AVX512BWVL-mask_set_bw.test 12997.00 12981.00 -0.1%
test-suite :: External/SPEC/CINT2017speed/625.x264_s/625.x264_s.test 668971.00 658427.00 -1.6%
test-suite :: External/SPEC/CINT2017rate/525.x264_r/525.x264_r.test 668971.00 658427.00 -1.6%
Prolangs-C/TimberWolfMC/timberwolfmc - small variations, some code not
inlined
FreeBench/pifft - extra stores <8 x double> vectorized, some other extra
vectorizations
CINT2006/464.h264ref - some smaller code + changes similar to x264
JM/ldecod - changes similar x264
CINT2017speed/600.perlbench_s
CINT2017rate/500.perlbench_r - significantly compact vector code
Benchmarks/Bullet - small variations
CFP2017rate/526.blender_r - small variations
CFP2017rate/510.parest_r - small variations
CINT2006/400.perlbench - extra vector code
JM/lencod - extra store <16 x i32> and other changes similar x264
Applications/oggenc - extra store <16 x i8>, small variations
DOE-ProxyApps-C/miniGMG - small variations
Vector/AVX512BWVL/Vector-AVX512BWVL-mask_set_bw - better vector code
CINT2017speed/625.x264_s
CINT2017rate/525.x264_r - the number of instructions increased, but
looks like they are more performant. E.g., for function
x264_pixel_satd_8x8, llvm-mca reports better throughput - 84 for the
current version and 59 for the new version.
-O3+LTO, march=rva32u64
CINT2017rate/525.x264_r - similar to x86, extra code in pixel_hadamard_ac
function vectorized, idct4x4dc stopped being vectorized (looks like
issue with shuffles cost)
CINT2006/400.perlbench - better vector code
CINT2006/445.gobmk - some variations in vector code
CINT2006/464.h264ref - extra code vectorized
CINT2017rate/500.perlbench_r - small variations
-O3+LTO, mcpu=sifive-p470
Metric: size..text
Program size..text
results results0 diff
test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test 587336.00 587668.00 0.1%
test-suite :: MultiSource/Applications/JM/lencod/lencod.test 643308.00 643614.00 0.0%
test-suite :: MultiSource/Applications/d/make_dparser.test 79678.00 79710.00 0.0%
test-suite :: MultiSource/Benchmarks/Bullet/bullet.test 277322.00 277420.00 0.0%
test-suite :: External/SPEC/CINT2006/400.perlbench/400.perlbench.test 933660.00 933682.00 0.0%
test-suite :: External/SPEC/CFP2017rate/526.blender_r/526.blender_r.test 9497722.00 9497682.00 -0.0%
test-suite :: External/SPEC/CINT2017rate/500.perlbench_r/500.perlbench_r.test 1767806.00 1767772.00 -0.0%
test-suite :: External/SPEC/CINT2017speed/600.perlbench_s/600.perlbench_s.test 1767806.00 1767772.00 -0.0%
test-suite :: MultiSource/Benchmarks/MiBench/consumer-lame/consumer-lame.test 148038.00 148024.00 -0.0%
test-suite :: MultiSource/Applications/JM/ldecod/ldecod.test 283036.00 283008.00 -0.0%
test-suite :: MultiSource/Benchmarks/mediabench/g721/g721encode/encode.test 4776.00 4772.00 -0.1%
test-suite :: External/SPEC/CINT2017rate/525.x264_r/525.x264_r.test 540582.00 511772.00 -5.3%
test-suite :: External/SPEC/CINT2017speed/625.x264_s/625.x264_s.test 540582.00 511772.00 -5.3%
CINT2006/464.h264ref - extra vector code in find_sad_16x16
JM/lencod - extra vector code in find_sad_16x16
d/make_dparser - smaller vector code
Benchmarks/Bullet - small variations
CINT2006/400.perlbench - smaller vector code
CFP2017rate/526.blender_r - small variations, extra store <8 x float> in
the loop, extra store <8 x i8> in loop
CINT2017rate/500.perlbench_r
CINT2017speed/600.perlbench_s - small variations
MiBench/consumer-lame - small variations
JM/ldecod - extra vector code
mediabench/g721/g721encode - small variations
CINT2017rate/525.x264_r
CINT2017speed/625.x264_s - reduced number of wide operations and
shuffles, saving the registers, similar to X86, extra code in
pixel_hadamard_ac vectorized, idct4x4dc not vectorized (issue with some
TTI costs)
Reviewers: RKSimon, hiraditya
Reviewed By: RKSimon
Pull Request: https://github.com/llvm/llvm-project/pull/123360
getSpill cost relies on def-use order when performs the analysis for the
vectorized instructions live-over-calls spills.
Patch fixes it to check the dependencies based on TreeEntries and
performs actual vectorized type analysis.
Reviewers: RKSimon, preames
Reviewed By: preames
Pull Request: https://github.com/llvm/llvm-project/pull/124984
Reverts llvm/llvm-project#124129 as its currently causing a regression at #124499 - avoids the regression until a proper fix can be added to getSpillCost
Currently, SLP has 2 distinct storages to manage mapping between
vectorized instructions and their corresponding vectorized TreeEntry
nodes. It leads to inefficient lookup for the matching TreeEntries and
makes it harder to correctly track instructions, associated with
multiple nodes.
There is a plan to extend this support for instructions, that require
scheduling, to allow support for copyable elements. Merging
ScalarToTreeEntry and MultiNodeScalars will allow reduce maintenance of
the feature
Reviewers: RKSimon
Reviewed By: RKSimon
Pull Request: https://github.com/llvm/llvm-project/pull/124914
Adds getNumberOfParts and uses it instead of similar code across code
base, fixes analysis of non-vectorizable types in
computeMinimumValueSizes.
Reviewers: RKSimon
Reviewed By: RKSimon
Pull Request: https://github.com/llvm/llvm-project/pull/124774
Need to include MainOp into the analysis of the instructions in
getSameOpcode to be sure that it is checked for the requirements to
prevent crashes during further analysis.
We have two types of mask in SLP: a scalar mask and a vector mask.
When vectorizing four i32 additions into <4 x i32>, SLP creates a mask
of length 4.
When vectorizing four <2 x i32> additions into <8 x i32>, SLP also
creates a mask of length 4.
We refer to the first case as a scalar mask (because the mask element
represents a scalar, i32), and the second case as a vector mask (because
the mask element represents a vector, <4 x i32>).
At some point, we must convert the scalar mask into a vector mask
(otherwise, calling TTI cost functions or IRBuilderBase functions may
yield incorrect results).
Since both ShuffleCostEstimator and ShuffleInstructionBuilder can modify
the CommonMask, we have decided to perform the mask transformation only
within createShuffle. However, we do not store the transformed result,
as createShuffle may be called multiple times.
getVectorCallCosts determines the cost of a vector intrinsic, based off
an existing scalar intrinsic call - but we were including the scalar
argument data to the IntrinsicCostAttributes, which meant that not only
was the cost calculation not type-only based, it was making incorrect
assumptions about constant values etc.
This also exposed an issue that x86 relied on fallback calculations for
funnel shift costs - this is great when we have the argument data as
that improves the accuracy of uniform shift amounts etc., but meant that
type-only costs would default to Cost=2 for all custom lowered funnel
shifts, which was far too cheap.
This is the reverse of #124129 where we weren't including argument data
when we could.
Fixes#63980
As part of the "RemoveDIs" project, BasicBlock::iterator now carries a
debug-info bit that's needed when getFirstNonPHI and similar feed into
instruction insertion positions. Call-sites where that's necessary were
updated a year ago; but to ensure some type safety however, we'd like to
have all calls to moveBefore use iterators.
This patch adds a (guaranteed dereferenceable) iterator-taking
moveBefore, and changes a bunch of call-sites where it's obviously safe
to change to use it by just calling getIterator() on an instruction
pointer. A follow-up patch will contain less-obviously-safe changes.
We'll eventually deprecate and remove the instruction-pointer
insertBefore, but not before adding concise documentation of what
considerations are needed (very few).
We were only constructing the IntrinsicCostAttributes with the arg type info, and not the args themselves, preventing more detailed cost analysis (constant / uniform args etc.)
Just pass the whole IntrinsicInst to the constructor and let it resolve everything it can.
Noticed while having yet another attempt at #63980
Added non-power-of-2 (but still whole registers) vectorization support
for nodes other than stores and reductions.
Reviewers: preames, RKSimon, hiraditya
Reviewed By: RKSimon
Pull Request: https://github.com/llvm/llvm-project/pull/113356
When adding a node vector, when it is used already in the shuffle for
buildvector, need to calculate vector factor from all vector, not only
this single vector, to avoid incorrect result. Also, need to increase
stability of the reused entries detection to avoid mismatch in cost
estimation/codegen.
Fixes#123639
Add TreeEntry::hasState.
Add assert for getTreeEntry.
Remove the OpValue parameter from the canReuseExtract function.
Remove the Opcode parameter from the ComputeMaxBitWidth lambda function.
Added assert to check for underflow of ReduxWidth
modified: llvm/lib/Transforms/Vectorize/SLPVectorizer.cpp
Source code analysis flagged the operation (ReduxWwidth - 1) as
potential underflow, since ReduxWidth is unsigned.
Realize that this should never happen if everything is working right,
but added an assert to check for it just in case.
Follow up on 4a0d53a (PatternMatch: migrate to CmpPredicate) to get rid
of the FIXME it introduced in SLPVectorizer: the FIXME is bad, and we'd
get no testable impact by using CmpPredicate::getMatching here.
When extracts are vectorized and it has some poison values instead of
instructions, need to correctly set the vectorized operand not as
poison, but as a main vector operand of the main extract instruction.
Fixes#122583
If the buildvector node fully matched another node, need to exclude
subvectors, when building final shuffle, just a shuffle of the original
node must be emitted.
Fixes#122584
This patch simplifies select-based integer min/max reductions by
utilizing `llvm::getMinMaxReductionPredicate`, and generates
intrinsic-based min/max reductions by utilizing
`llvm::getMinMaxReductionIntrinsicOp`.
When estimating the cost of entries shuffles for buildvectors, need to
rebuild original mask, not a generated submask, used for subregisters
analysis.
Fixes#122430
Older version of msvc do not have great lambda support and are not able
to handle uses of class data or lambdas with implicit return types in
some cases. These minor changes improve the sources compatibility with
older msvc and don't hurt readability either.
