After constructing the initial VPlan, replace VPValues for versioned
strides with their constant counterparts.
Differential Revision: https://reviews.llvm.org/D147783
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
This is a follow-up to b71edfaa4e
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 is purely so that we can expose and work through downstream codegen issues. My intention is to see if we can get this disabled by default, but that requires fixing a bunch of downstream issues first.
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
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
To calculate the trip count we need to add 1 to the backedge
taken count. If we need to widen the backedge count, it's better
to do the add before the widening if we can guarantee it won't
overflow.
The code here is based on similar code I found in
LoopIdiomRecognize.
This is the vectorizer version of this InstCombine patch D142783.
Looking at the IR diffs, this does look like it gets more cases
than the InstCombine patch.
Reviewed By: reames
Differential Revision: https://reviews.llvm.org/D147355
(JFYI - This has been heavily reframed since original attempt at landing.)
This change updates the InductionDescriptor logic to allow matching a pointer IV with a non-constant stride, but also updates the LoopVectorizer to bailout on such descriptors by default. This preserves the default vectorizer behavior.
In review, it was pointed out that there's multiple unfortunate performance implications which need to be addressed before this can be enabled. Having a flag allows us to exercise the behavior, and write test cases for logic which is otherwise unreachable (or hard to reach).
This will also enable non-constant stride pointer recurrences for other consumers. I've audited said code, and don't see any obvious issues.
Differential Revision: https://reviews.llvm.org/D147336
Generally, the cost of a memory op will scale with the number of vector registers accessed. Machines might exist which have a narrow memory access than vector register width, but machines with a wider memory access width than vector register width seem unlikely.
I noticed this because we were preferring wide loads + deinterleaves on examples where the cost of a short gather (actually a strided load) would be better. Touching 8 vector registers instead of doing a 4 element gather is not a good tradeoff.
Differential Revision: https://reviews.llvm.org/D147470
If the legalized type is a legal interleaved access type (i.e. there's a
supported vlseg/vsseg instruction for it), the interleaved access pass
will pick any interleaved memory op (wide load + shuffles) and lower it
into a vlseg/vsseg intrinsic.
Reviewed By: reames
Differential Revision: https://reviews.llvm.org/D146522
Multiple errors have being reported on
https://reviews.llvm.org/rG498aa534f472d28db893aa9a8627d0b46e17f312
Reverting until the correctness issues can be resolved.
We are also seeing a lot of performance differences from the patch. Some are
looking good, but some are looking pretty bad.
This matches the handling for integer IVs. I left the non-opaque cases alone, mostly because they're largely irrelevant today.
This doesn't actually make much difference in vectorization right now as we immediately fail on aliasing checks (which also bail on non-constant strides). Slightly suprisingly, it's the case which *do* need runtime checks which work after this patch as they don't use the same dependency analysis path.
This will also enable non-constant stride pointer recurrences for other consumers. I've auditted said code, and don't see any obvious issues.
The cost model was not accounting for the fact that we can generate vrgather + an index expression.
Two cases to call out.
1) I did not model the difference between vrgather and vrgatherei16. The result is the constant pool cost can be slightly understated on RV32. I don't think we care, but if someone disagrees, this would be easy to add.
2) Our current codegen for i8 vectors longer than 256 (which is the limit of what this costs) has some room for improvement.
Differential Revision: https://reviews.llvm.org/D147000
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
After some discussion and experimentation, we have seen that changing the default number of vector register bits to LMUL=2 strikes a sweet spot.
Whilst we could be clever here and make the vectorizer smarter about dynamically selecting an LMUL that
a) Doesn't affect register pressure
b) Suitable for the microarchitecture
we would need to teach its heuristics about RISC-V register grouping specifics.
Instead this just does the easy, pragmatic thing by changing the default to a safe value that doesn't affect register pressure signifcantly[1], but should increase throughput and unlock more interleaving.
[1] Register spilling when compiling sqlite at various levels of `-riscv-v-register-bit-width-lmul`:
LMUL=1 2573 spills
LMUL=2 2583 spills
LMUL=4 2819 spills
LMUL=8 3256 spills
Reviewed By: craig.topper
Differential Revision: https://reviews.llvm.org/D143723
The previous test case stored the result of a deinterleaved load and add
into the same source address, which resulted in some scatters which we
weren't testing for and made the tests harder to understand.
Store it at a separate address, which will make the tests easier to read
when the cost model is changed after D145085 is landed
Reviewed By: reames
Differential Revision: https://reviews.llvm.org/D146442
The loop vectorizer supports generating interleaved loads and stores via
shuffle patterns for fixed length vectors.
This enables it for RISC-V, since interleaved shuffle patterns can be
lowered to vlseg/vsseg in https://reviews.llvm.org/D145022
Reviewed By: reames
Differential Revision: https://reviews.llvm.org/D145155
The loop vectorizer supports generating interleaved loads and stores via
shuffle patterns for fixed length vectors.
This enables it for RISC-V, since interleaved shuffle patterns can be
lowered to vlseg/vsseg in https://reviews.llvm.org/D145022
Reviewed By: reames
Differential Revision: https://reviews.llvm.org/D145155
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
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
It's less clear with scalable vectors than fixed length vectors that
interleaving exposes more ILP, as scalable vectors can be thought of a
sort of hardware form of interleaving, especially with larger LMULs.
This also addresses the unexpected additional unrolling that occurs when
using larger LMULs in the loop vectorizer.
Reviewed By: craig.topper
Differential Revision: https://reviews.llvm.org/D144485
This is a test for an upcoming patch that proposes to change the default LMUL used by the loop vectorizer from 1 to 2
Reviewed By: reames
Differential Revision: https://reviews.llvm.org/D143722
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 1f01cdda68.
Fix an issue about module linking with LTO.
When compiling with PIE, the small data limitation needs to be consistent with that in PIC, otherwise there will be linking errors due to conflicting values.
bar.c
```
int bar() { return 1; }
```
foo.c
```
int foo() { return 1; }
```
```
clang --target=riscv64-unknown-linux-gnu -flto -c foo.c -o foo.o -fPIE
clang --target=riscv64-unknown-linux-gnu -flto -c bar.c -o bar.o -fPIC
clang --target=riscv64-unknown-linux-gnu -flto foo.o bar.o -flto -nostdlib -v -fuse-ld=lld
```
```
ld.lld: error: linking module flags 'SmallDataLimit': IDs have conflicting values in 'bar.o' and 'ld-temp.o'
clang-15: error: linker command failed with exit code 1 (use -v to see invocation)
```
Use Min instead of Error for conflicting SmallDataLimit.
Authored by: @joshua-arch1
Signed-off-by: xiaojing.zhang <xiaojing.zhang@xcalibyte.com>
Signed-off-by: jianxin.lai <jianxin.lai@xcalibyte.com>
Reviewed By: MaskRay
Differential Revision: https://reviews.llvm.org/D131230
The test contained a unused load that appears unrelated to the test
(store of vector of i1). Remove it to avoid test changes in follow-up
change which will lead to dead loads being removed.
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
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
This is based on @frasercrmck's D107290. At least some of the clang
portion of D107290 has already been committed.
This uses vscale_range for min/max vector width unless the command
line overrides are used.
As a follow up, I plan to add a max or exact VLEN option to clang
to control the vscale_range. This will eliminate many of the reasons
for users to use the overrides through the -mllvm interface.
Reviewed By: reames
Differential Revision: https://reviews.llvm.org/D139873
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.
The vectorizer has code to reject scalable vectorization of loops with very short trip counts, and instead use fixed length vectors. The current code doesn't account for the minimum vscale value known, and thus under estimates the number of lanes in the scalable type for RISCV's default configuration. This results in use of predication and a trivially dead loop where a single straight line piece of code would suffice.
Note that the code quality of the original scalable vectorization could (and probably should) be improved other ways as well. This patch is solely about whether the scalable vectorization was the right choice to begin with.
This bit of code - both with and without my change - does make the unchecked assumption that the target knows how to lower fixed length vectors whose length is provably less than the vector length.
Differential Revision: https://reviews.llvm.org/D137285
This reuses the routine implemented in 0e6f0b7 to implement several existing TODOs. Many of the operations scale linearly with LMUL; this change represents that in the cost model.
Differential Revision: https://reviews.llvm.org/D139039
This reverts commit bf15f1e489.
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.
