In VPlanPatternMatch.h I have changed the int_pred_ty code to look
through broadcasts in order to catch more cases, i.e. multiplying by a
splat of one, etc.
The original patch, landed as a2db31b0 ([VPlan] Simplify pow-of-2
(mul|udiv) -> (shl|lshr), #172477) had a critical commutative matcher
bug, which has now been fixed. An assert has also been strengthened,
following a post-commit review.
In preparation to strip VPUnrollPartAccessor and unroll recipes
directly, strip unnecessary complication in getGEPIndexTy, as the unroll
part will no longer be available in follow-ups (see #168886 for
instance). The patch also helps by doing a mass test update up-front.
Narrowing the GEP index type conditionally does not yield any benefit,
and the change is non-functional in terms of emitted assembly. While at
it, avoid hard-coding address-space 0, and use the pointer operand's
address space to get the GEP index type.
This is a small code size optimization that lets us avoid both shifting
and comparing to a constant if we need the shifted value anyway. On most
architectures the zero comparison is cheaper than a constant comparison
(or free if the shift sets flags).
Although this change appears to remove the optimization entirely, we
continue to do this transform if there is one use because of the code
below the removed code that transforms the shift into an and, followed
by the PR10267 case in InstCombinerImpl::foldICmpAndConstConst that
transforms the and into a ult/ugt. Added a test case to verify this
explicitly.
Per [1] reduces clang .text size by 0.09% and dynamic instruction count
by 0.01%.
[1] https://llvm-compile-time-tracker.com/compare.php?from=1f38d49ebe96417e368a567efa4d650b8a9ac30f&to=0873787a12b8f2eab019d8211ace4bccc1807343&stat=size-text
Reviewers: nikic, dtcxzyw
Reviewed By: dtcxzyw
Pull Request: https://github.com/llvm/llvm-project/pull/168007
Changes: The previous patch had to be reverted to a mismatching-OpType
assert in cse. The reduced-test has now been added corresponding to a
RVV pointer-induction, and the pointer-induction case has been updated
to use createOverflowingBinaryOp.
While at it, record VPIRFlags in VPWidenInductionRecipe.
Generalize VPWidenSelectRecipe codegen to consider single-scalar
conditions instead of just loop-invariant ones.
If the condition is a single-scalar, we can simply use a scalar
condition.
PR: https://github.com/llvm/llvm-project/pull/165506
This enables additional DCE/CSE opportunities and ensures that we don't
end up with multiple redundant users of a VPInstruction using EVL. It
fixes a verifier error in the added test_3_inductions test.
After https://github.com/llvm/llvm-project/pull/153643, there may be a
BranchOnCond with constant condition in the entry block.
Simplify those in removeBranchOnConst. This removes a number of
redundant conditional branch from entry blocks.
In some cases, it may also make the original scalar loop unreachable,
because we know it will never execute. In that case, we need to remove
the loop from LoopInfo, because all unreachable blocks may dominate each
other, making LoopInfo invalid. In those cases, we can also completely
remove the loop, for which I'll share a follow-up patch.
Depends on https://github.com/llvm/llvm-project/pull/153643.
PR: https://github.com/llvm/llvm-project/pull/154510
Split GEPs that have more than one non-zero offset into two GEPs. This
is in preparation for the ptradd migration, which can only represent
such GEPs.
This also enables CSE and LICM of the common base.
Currently we only allow folding not (cmp eq) -> icmp ne if the not is
the only user of the compare.
However a common scenario is that some select might also use the
compare. We can still fold the not if we also swizzle the arms of the
selects.
This helps avoid regressions in #150368
Dissolving the hierarchical VPlan CFG and converting abstract to
concrete recipes can expose additional simplification opportunities.
Do a final run of simplifyRecipes before executing the VPlan.
VPVectorPointer for part 0 is just the pointer operand. Simplify it
after unrolling. This removes a large number of redundant GEPs with
index 0.
PR: https://github.com/llvm/llvm-project/pull/149735
Materialize constant vector trip counts before ::execute, if the trip
count can be computed as Original (TC / (VF * UF)) * (VF * UF). For now
this excludes when the tail is folded or scalar epilogues are required.
This enables removing a number of redundant branches from the middle
block.
For now this is also only done when not vectorizing the epilogue, as the
simplification complicates stitching the 2 plans together.
PR: https://github.com/llvm/llvm-project/pull/142309
Add a new VPInstruction::ReductionStartVector opcode to create the start
values for wide reductions. This more accurately models the start value
creation in VPlan and simplifies VPReductionPHIRecipe::execute. Down the
line it also allows removing VPReductionPHIRecipe::RdxDesc.
PR: https://github.com/llvm/llvm-project/pull/142290
Extend sinking logic to duplicate scalar steps recipe if it enables
sinking, that is if all users in a destination block require all lanes.
This should be the last step before removing legacy sinkScalarOperands.
PR: https://github.com/llvm/llvm-project/pull/136021
Considering that "or disjoint" is the canonical for certain add
operations, then I think we want to support such "add like" operations
when doing ADD+GEP->GEP+GEP rewrites to make things more consistent.
Problem was found when improving ValueTracking, which turned an ADD into
OR, and then suddenly optimizations got worse due to these rewrites no
longer triggering.
Follow-up to dfca6c0d3bf9d1a056 to extend isUnrolled handle any unrolled
VPlan, which means there's a single UF, but it will be > 1 if unrolling
took place.
After unrolling, there may be additional simplifications that can be
applied. One example is removing SCALAR-STEPS for the first part where
only the first lane is demanded.
This removes redundant adds of 0 from a large number of tests (~200),
many which I am still working on updating.
In preparation for removing redundant WideIV steps added in
https://github.com/llvm/llvm-project/pull/119284.
PR: https://github.com/llvm/llvm-project/pull/123655
Update and generalize materializeBroadcasts to also introduce explicit
broadcasts for VPValues defined in the Plans Entry block.
This fixes a crash when trying to insert the broadcasts generated by
VPTransformState::get after the generating instruction, which isn't
possible after invoke instructions.
Fixes https://github.com/llvm/llvm-project/issues/128838.
Add a new VPInstruction::Broadcast opcode and use it to materialize
explicit broadcasts of live-ins. The initial patch only materlizes the
broadcasts if the vector preheader dominates all uses that need it.
Later patches will pick the best valid insert point, thus retiring
implicit hoisting of broadcasts from VPTransformsState::get().
PR: https://github.com/llvm/llvm-project/pull/124644
Follow-up as discussed when using VPInstruction::ResumePhi for all resume
values (#112147). This patch explicitly adds incoming values for each
predecessor in VPlan. This simplifies codegen and allows transformations
adjusting the predecessors of blocks with
NFC modulo incoming block order in phis.
Currently we fail to detect the case where BTC + 1 wraps, i.e. the
vector trip count is 0, In those cases, the minimum iteration count
check will fail, and the vector code will never be executed.
Explicitly check for this condition in computeMaxVF and avoid trying to
vectorize alltogether.
Note that a number of tests needed to be updated, because the vector
loop would never be executed given the input IR.
Fixes https://github.com/llvm/llvm-project/issues/122558.
This just copies the same conservative definition from mayWriteToMemory,
and enables more VPInstructions to be hoisted out in LICM.
I think this should give more accurate costs, and I was able to build
llvm-test-suite without the legacy-vplan cost model assertion going off.
This was originally done to reduce the diff for the change. Remove it
and update the remaining tests. NFC modulo reordering of incoming
values.
Clean up after https://github.com/llvm/llvm-project/pull/114292.
This reverts commit f09b16e2671cbcdf7cb7dc7ed705db092a9deda1.
The crash when building llvm-test-suite with stage2 should have been
fixed by 1091fad31a83d5ab87eb6fa11fe3bdb3f0d152ea.
This reverts commit 0678e2058364ec10b94560d27ec7138dfa003287.
This reverts commit 1091fad31a83d5ab87eb6fa11fe3bdb3f0d152ea.
Causes crashes in llvm-test-suite when using stage 2 clang.
Updated ILV.createInductionResumeValues (now createInductionResumeVPValue)
to directly update the VPIRInstructions wrapping the original phis with the
created resume values.
This is the first step towards modeling them completely in VPlan.
Subsequent patches will move creation of the resume values completely
into VPlan.
Depends on https://github.com/llvm/llvm-project/pull/109975.
PR: https://github.com/llvm/llvm-project/pull/110577
Update VPlan to include the scalar loop header. This allows retiring
VPLiveOut, as the remaining live-outs can now be handled by adding
operands to the wrapped phis in the scalar loop header.
Note that the current version only includes the scalar loop header, no
other loop blocks and also does not wrap it in a region block.
PR: https://github.com/llvm/llvm-project/pull/109975
When expanding SCEV adds to geps, transfer the nuw flag to the resulting
gep. (Note that this doesn't apply to IV increment GEPs, which go
through a different code path.)
This patch implements explicit unrolling by UF as VPlan transform. In
follow up patches this will allow simplifying VPTransform state (no need
to store unrolled parts) as well as recipe execution (no need to
generate code for multiple parts in an each recipe). It also allows for
more general optimziations (e.g. avoid generating code for recipes that
are uniform-across parts).
It also unifies the logic dealing with unrolled parts in a single place,
rather than spreading it out across multiple places (e.g. VPlan post
processing for header-phi recipes previously.)
In the initial implementation, a number of recipes still take the
unrolled part as additional, optional argument, if their execution
depends on the unrolled part.
The computation for start/step values for scalable inductions changed
slightly. Previously the step would be computed as scalar and then
splatted, now vscale gets splatted and multiplied by the step in a
vector mul.
This has been split off https://github.com/llvm/llvm-project/pull/94339
which also includes changes to simplify VPTransfomState and recipes'
::execute.
The current version mostly leaves existing ::execute untouched and
instead sets VPTransfomState::UF to 1.
A follow-up patch will clean up all references to VPTransformState::UF.
Another follow-up patch will simplify VPTransformState to only store a
single vector value per VPValue.
PR: https://github.com/llvm/llvm-project/pull/95842
This is a follow up to 924907bc6, and is mostly motivated by consistency
but does include one additional optimization. In general, we prefer 0.0
over -0.0 as the identity value for an fadd. We use that value in
several places, but don't in others. So, let's be consistent and use the
same identity (when nsz allows) everywhere.
This creates a bunch of test churn, but due to 924907bc6, most of that
churn doesn't actually indicate a change in codegen. The exception is
that this change enables the use of 0.0 for nsz, but *not* reasoc, fadd
reductions. Or said differently, it allows the neutral value of an
ordered fadd reduction to be 0.0.
The op of phi transform wants to prevent moving an operation across a
backedge, as this may lead to an infinite combine loop.
Currently, this is done using isPotentiallyReachable(). The problem with
that is that all blocks inside a loop are reachable from each other.
This means that the op of phi transform is effectively completely
disabled for code inside loops, even when it's not actually operating on
a loop phi (just a phi that happens to be in a loop).
Fix this by explicitly computing the backedges inside the function
instead. Do this via RPOT, which is a bit more efficient than using
FindFunctionBackedges() (which does it without any pre-computed
analyses).
For irreducible cycles, there may be multiple possible choices of
backedge, and this just picks one of them. This is still sufficient to
prevent combine loops.
This also removes the last use of LoopInfo in InstCombine -- I'll drop
the analysis in a followup.
The idea behind this canonicalization is that it allows us to handle less
patterns, because we know that some will be canonicalized away. This is
indeed very useful to e.g. know that constants are always on the right.
However, this is only useful if the canonicalization is actually
reliable. This is the case for constants, but not for arguments: Moving
these to the right makes it look like the "more complex" expression is
guaranteed to be on the left, but this is not actually the case in
practice. It fails as soon as you replace the argument with another
instruction.
The end result is that it looks like things correctly work in tests,
while they actually don't. We use the "thwart complexity-based
canonicalization" trick to handle this in tests, but it's often a
challenge for new contributors to get this right, and based on the
regressions this PR originally exposed, we clearly don't get this right
in many cases.
For this reason, I think that it's better to remove this complexity
canonicalization. It will make it much easier to write tests for
commuted cases and make sure that they are handled.
This patch introduces a new ResumePhi VPInstruction which creates a phi
in a leaf block of a VPlan. The first use is to create the phi node for
fixed-order recurrence resume values in the scalar preheader.
The VPInstruction takes 2 operands: 1) the incoming value from the
middle-block and a default value to be used for all other incoming
blocks.
In follow-up changes, it will also be used to create phis for reduction
and induction resume values.
Depends on https://github.com/llvm/llvm-project/pull/92651
PR: https://github.com/llvm/llvm-project/pull/94760
This patch moves branch condition creation to enter the scalar epilogue
loop to VPlan. Modeling the branch in the middle block also requires
modeling the successor blocks. This is done using the recently
introduced VPIRBasicBlock.
Note that the middle.block is still created as part of the skeleton and
then patched in during VPlan execution. Unfortunately the skeleton needs
to create the middle.block early on, as it is also used for induction
resume value creation and is also needed to properly update the
dominator tree during skeleton creation.
After this patch lands, I plan to move induction resume value and phi
node creation in the scalar preheader to VPlan. Once that is done, we
should be able to create the middle.block in VPlan directly.
This is a re-worked version based on the earlier
https://reviews.llvm.org/D150398 and the main change is the use of
VPIRBasicBlock.
Depends on https://github.com/llvm/llvm-project/pull/92525
PR: https://github.com/llvm/llvm-project/pull/92651
