Apparently, update_analyze_test_checks.sh does *not* warn on conflicting CHECKs, it just silently drops those lines from the generated test. That is.. less than helpful.
This prevents them from being assumed legal by the cost model.
This matches what is done for AArch64 SVE.
Reviewed By: reames
Differential Revision: https://reviews.llvm.org/D123799
The MVE shuffle costing for VREV instructions was making incorrect
assumptions as to legalized vector types remaining as vectors. Add a
quick check to ensure they are indeed vectors before attempting to get
the number of elements.
We were using the default getScalarizationOverhead expansion for extraction costs, which adds up all the individual element extraction costs.
This is fine for 128-bit vectors, but for 256/512-bit vectors each element extraction also has to account for extracting the upper 128-bit subvector extraction before it can handle the element. For scalarization costs we only need to extract each demanded subvector once.
Differential Revision: https://reviews.llvm.org/D125527
Building on top of D125665, this adds MVE costs for fptosi.sat and
fptoui.sat, providing MVE is available and the types are legal.
Differential Revision: https://reviews.llvm.org/D125666
Similar to D124357, this adds some cost modelling for fptoi_sat for Arm
targets. Where VFP2 is available (and FP64/FP16 for the relevant types),
the operations are legal as the Arm instructions naturally saturate.
Otherwise they will need an extra smin/smax clamp, similar to AArch64.
Differential Revision: https://reviews.llvm.org/D125665
Similar to D123386, this adds D-Movs to the AArch64 perfect shuffle
tables, slightly lowering the costs a little more. This is a rough
improvement in general, especially if you ignore mov v0.16b, v2.16b type
moves that are often artefacts of the calling convention.
The D register movs are encoded as (0x4 | LaneIdx), and to generate a D
register move we are required to bitcast into a higher type, but it is
otherwise very similar to the S-lane mov's already supported.
Differential Revision: https://reviews.llvm.org/D125477
Even if the minimum number of elements is 1 and the length doesn't change,
we don't know what vscale is so we can't classify it as identity mask. Instead it
is a zero element splat.
For reverse, we shouldn't classify it as a reverse unless there are at least 2 elements
in the mask. This applies to both fixed and scalable vectors. For fixed vectors, a single
element would be an identity shuffle. For scalable vector it's a zero elt splat.
Reviewed By: sdesmalen, liaolucy
Differential Revision: https://reviews.llvm.org/D124655
This adds some extra costs for reverse shuffles under AArch64, filling
in the i16/f16/i8 gaps in the cost model.
Differential Revision: https://reviews.llvm.org/D124786
Based off the script from D103695, on AVX1, Jaguar/Bulldozer both have low throughput for ymm select patterns (BLENDV + OR(AND,ANDN))), and even on AVX2 Haswell still struggles with BLENDV ops
The new flag -aarch64-insert-extract-base-cost can be used to
set the value of AArch64Subtarget::getVectorInsertExtractBaseCost(),
for the purposes of experimentation.
Differential Revision: https://reviews.llvm.org/D124835
This builds on top of the target-independent cost model added in D124269
to add aarch64 specific costs for fptoui_sat and fptosi_sat intrinsics.
For many common types they will be legal instructions as the AArch64
instructions will saturate naturally. For unsupported pairs of integer
and floating point types, an additional min/max clamp is needed.
Differential Revision: https://reviews.llvm.org/D124357
We can quickly extract multiple elements of a bool vector using MOVMSK ops - since we don't know what generated the vXi1, I've been optimistic and assumed we can use PMOVMSKB to extract the maximum number of bools with a single op.
The MOVMSK pattern isn't great for extract+insert round trips as vXi1 type legalization can interfere with this a lot - so this relies on us remaining good at using getScalarizationOverhead properly (and tagging both Insert and Extract modes) for those round trip cases.
The AVX512 KMOV codegen for bool extraction is a bit of a mess so for now I've not included that - the per-element cost is a lot more accurate for current codegen.
If the legalized src/dst types are the same, assume the "truncation" is free.
This fixes some edge cases such as mul lo/hi ops and bool vectors which will get legalized back to legal vector widths
Based off the script from D103695, we were exaggerating the cost of the OR(AND(X,M),AND(Y,~M)) expansion using instruction count instead of effective throughput
Need to normalizize the mask to avoid possible crashes during attempts
to estimate cost of the very long shuffles with non-power-2 number of
elements in masks.
Add cost model for broadcast shuffle in RISCVTTIImpl::getShuffleCost
with scalable vector. The cost model might not the best.
For scalable vector, BasicTTIImpl::getShuffleCost return invalid cost,
so this patch relies on the existing cost model in BasicTTIImpl.
Reviewed By: craig.topper
Differential Revision: https://reviews.llvm.org/D124101
Introduced masks where they are not added and improved target dependent
cost models to avoid returning of the incorrect cost results after
adding masks.
Differential Revision: https://reviews.llvm.org/D100486
Introduced masks where they are not added and improved target dependent
cost models to avoid returning of the incorrect cost results after
adding masks.
Differential Revision: https://reviews.llvm.org/D100486
Renamed test/Analysis/CostModel/X86/splat-load.ll to shuffle-load.ll
to align it with AArch64's similar test.
Also added a complete list of checks for all vector combinations up to 512-bits.
Differential Revision: https://reviews.llvm.org/D124528
Given a larger-than-legal shuffle mask, the final codegen will split
into multiple sub-vectors. This attempts to model that in
AArch64TTIImpl::getShuffleCost, splitting masks up according to the size
of the legalized vectors. If the sub-masks have at most 2 input sources
we can call getShuffleCost on them and sum the costs, to get a more
accurate final cost for the entire shuffle. The call to
improveShuffleKindFromMask helps to improve the shuffle kind for the
sub-mask cost call.
Differential Revision: https://reviews.llvm.org/D123414
Given a shuffle with 4 elements size 16 or 32, we can use the costs
directly from the PerfectShuffle tables to get a slightly more accurate
cost for the resulting shuffle.
Differential Revision: https://reviews.llvm.org/D123409
This adds some basic fptosi_sat and fptoui_sat target independent cost
modelling. The fptosi_sat is modelled as a fmin/fmax to saturate the
value, followed by a fp convert. The signed values then have an
additional fcmp+select for handling Nan correctly.
The AArch64/Arm costs may be more incorrect, as the instruction exist
natively. This can be fixed with target specific cost updates.
Differential Revision: https://reviews.llvm.org/D124269
Before this patch `Args` was used to pass a broadcat's arguments by SLP.
This patch changes this. `Args` is now used for passing the operands of
the shuffle.
Differential Revision: https://reviews.llvm.org/D124202
This test is no longer necessary as it is a subset of:
llvm/test/Analysis/CostModel/AArch64/shuffle-load.ll
Differential Revision: https://reviews.llvm.org/D124456
Scalable vectors llvm.experimental.stepvector intrinsic
will crash due to an invalid cost when run the code through the loopunroll.
Reviewed By: kito-cheng
Differential Revision: https://reviews.llvm.org/D122782
An insert subvector under aarch64 can often be done as a single lane mov
operation. For example a v4i8 inserted into a v16i8 is a s-reg mov, so
long as the index is a multiple of 4. This teaches the cost model that,
using code copied over from the X86 backend.
Some of the costs (v16i16_4_0) are still high because they get matched
as a SK_Select, not an SK_InsertSubvector. D120879 has some codegen
tests for inserting subvectors, which I were added as
llvm/test/CodeGen/AArch64/insert-subvector.ll.
Differential Revision: https://reviews.llvm.org/D120880
The cost of a v2i64 multiply was special cased in D92208 as scalarized
into 4*extract + 2*insert + 2*mul. Scalarizing to/from gpr registers are
expensive though, and the cost wasn't high enough to prevent vectorizing
in places where it can be detrimental for performance. This increases it
so that the costs of copying to/from GPRs is increased to 2 each, with
the total cost increasing to 14. So long as umull/smull are handled
correctly (as in D123006) this seems to lead to better vectorization
factors and better performance.
Differential Revision: https://reviews.llvm.org/D123007
A vector mul(sext, sext) or mul(zext, zext) will be code generated as a
single smull or umull instruction. This most notably effects v2i64
multiplies, which are otherwise not legal and need to be expanded.
The oneuse check has also been slightly changed, as it is already
checked from the use of isWideningInstruction in getCastInstrCost.
Differential Revision: https://reviews.llvm.org/D123006
Based off the script from D103695, we were exaggerating the cost of the v2i64 comparison expansion using instruction count instead of effective throughput
To perform the cost model of vector casting, the patch consider most vector
casts as their scalar form and consider those vector form of free scalr castings
as 1.
Reviewed By: craig.topper
Differential Revision: https://reviews.llvm.org/D121771
Currently we allow half types in vectors if the scalar Zfh extension
is enabled. This behavior is not inline with the vector spec. For f32
and f64 types, the Zve32f, Zve64f, Zve64d, and V explicitly control
the availablity of floating point types in vectors.
In order to make our compiler compliant, we either need to remove all support
for half in vectors or we need an extension to control it.
Draft spec here https://github.com/riscv/riscv-v-spec/pull/780
Reviewed By: kito-cheng
Differential Revision: https://reviews.llvm.org/D121345
The vectoriser sometimes generates predicated vector loops using
the llvm.get.active.lane.mask intrinsic so it's important that we
are able to calculate a valid cost for the call instruction. When
SVE is enabled we are able to use a single whilelo instruction
for some vector types - in such cases I've marked the cost as 1.
For all other cases I've set the cost according to how the intrinsic
will be expanded.
Tests added here:
Analysis/CostModel/AArch64/sve-intrinsics.ll
Analysis/CostModel/ARM/active_lane_mask.ll
Analysis/CostModel/RISCV/active_lane_mask.ll
Differential Revision: https://reviews.llvm.org/D121109
Currently the cost model under-estimates the cost of certain
FP16 conversions.
This patch updates getCastInstrCost to return more accurate costs for
the cases improved in c2ed9fd054.
Reviewed By: dmgreen
Differential Revision: https://reviews.llvm.org/D113700
The analysis passes output function name encapsulated in `'` braces,
but LV uses `"`. Harmonizing this may help in creating an update script
for the LV costmodel test checks.
Reviewed By: fhahn
Differential Revision: https://reviews.llvm.org/D121105
The patch adds very basic cost model for masked memory op on scalable vector.
Reviewed By: frasercrmck
Differential Revision: https://reviews.llvm.org/D117884
The costs of vector shifts was 2 as opposed to 1, as the nodes are
marked custom. Fix this like the others and mark the nodes as cheap.
Differential Revision: https://reviews.llvm.org/D120773
The patch adds very basic cost model for masked memory op on scalable vector.
Reviewed By: frasercrmck
Differential Revision: https://reviews.llvm.org/D117884
This reverts commit 77a0da926c as we've
received multiple reports of this significantly impacting performance,
in ways that don't seem to just be target specific cost models going
wrong. I would offer some reproducers, but the test changes here seem to
be full of them!
Reverting for now and hopefully we can remove the "hack" more carefully
as we go.
While testing scalable vectors I found that if we generate a
vector splice intrinsic and run the code through the loop unroller,
we'll crash due to an invalid cost.
This adds a basic cost based on the 2 slide instructions used by the
lowering in D119303.
We probably need to factor LMUL into this, but that's true for
arithmetic instructions too. So I've ignored for the moment.
Reviewed By: ABataev
Differential Revision: https://reviews.llvm.org/D119316
D43208 extracted `useEmulatedMaskMemRefHack()` from legality into cost model.
What it essentially does is prevents scalarized vectorization of masked memory operations:
```
// TODO: Cost model for emulated masked load/store is completely
// broken. This hack guides the cost model to use an artificially
// high enough value to practically disable vectorization with such
// operations, except where previously deployed legality hack allowed
// using very low cost values. This is to avoid regressions coming simply
// from moving "masked load/store" check from legality to cost model.
// Masked Load/Gather emulation was previously never allowed.
// Limited number of Masked Store/Scatter emulation was allowed.
```
While i don't really understand about what specifically `is completely broken`
was talking about, i believe that at least on X86 with AVX2-or-later,
this is no longer true. (or at least, i would like to know what is still broken).
So i would like to follow suit after D111460, and like wise disable that hack for AVX2+.
But since this was added for X86 specifically, let's just instead completely remove this hack.
Reviewed By: RKSimon
Differential Revision: https://reviews.llvm.org/D114779
The current cost-model overestimates the cost of vector compares &
selects for ordered floating point compares. This patch fixes that by
extending the existing logic for integer predicates.
Reviewed By: dmgreen
Differential Revision: https://reviews.llvm.org/D118256
We have some bitcasts which we know will be simplified,
so their cost is zero.
Reviewed By: david-arm, sdesmalen
Differential Revision: https://reviews.llvm.org/D118019
If we are inserting into or extracting from a scalable vector we do
not know the number of elements at runtime, so we can only let the
index wrap for fixed-length vectors.
Tests added here:
Analysis/CostModel/AArch64/sve-insert-extract.ll
Differential Revision: https://reviews.llvm.org/D117099
The code size cost model for most targets uses the legalization cost for the type of the pointer of a load. If this load is followed directly by a trunc instruction, and is the only use of the result of the load, only one instruction is generated in the target assembly language. This adds a check for this case, and uses the target type of the trunc instruction if so.
This did not show any changes in CTMark code size benchmarks.
Reviewers: paquette, samparker, dmgreen
Differential Revision: https://reviews.llvm.org/D109388
Similar to D116732, this adds basic scalar sadd_with_overflow,
uadd_with_overflow, ssub_with_overflow and usub_with_overflow costs for
aarch64, which are usually quite efficiently lowered.
Differential Revision: https://reviews.llvm.org/D116734
This adds some AArch64 specific smul_with_overflow and umul_with_overflow
costs, overriding the default costs. The code generation for these mul
with overflow intrinsics is usually better than the default expansion on
AArch64. The costs come from https://godbolt.org/z/zEzYhMWqo with various
types, or llvm/test/CodeGen/AArch64/arm64-xaluo.ll.
Differential Revision: https://reviews.llvm.org/D116732
This reverts commit 640beb38e7.
That commit caused performance degradtion in Quicksilver test QS:sGPU and a functional test failure in (rocPRIM rocprim.device_segmented_radix_sort).
Reverting until we have a better solution to s_cselect_b64 codegen cleanup
Change-Id: Ibf8e397df94001f248fba609f072088a46abae08
Reviewed By: kzhuravl
Differential Revision: https://reviews.llvm.org/D115960
Change-Id: Id169459ce4dfffa857d5645a0af50b0063ce1105
Philip Reames