I've only fixed up the tests where I was able to use a simple sed script
to replace the text. Even after this patch lands, there are still over
50 tests that need updating in X86/CostModel!
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.
When we have a gep inbounds from the base of an object (e.g. alloca or
global), we know that the index cannot be negative, as this would go out
of bounds. As such, we can infer nuw as well.
The implementation is a bit stricter than necessary, we could also
accept one unknown index followed by known-non-negative indices.
Proof: https://alive2.llvm.org/ce/z/Hp7-6w (Note that alive2 currently
incorrectly doesn't require the inbounds for the alloca case, see
https://github.com/AliveToolkit/alive2/issues/1138).
Update the code to create induction resume PHIs to also create a resume
phi for the canonical induction during epilogue vectorization. This
unifies the code for handling induction resume values and removes the
need to explicitly create manually resume PHI and return it during
epilogue creation.
Overall it helps to move the code for updating the canonical induction
resume value to the place where all other header phi resume values are
updated.
This is NFC, modulo order of the created phis.
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
If IVUpdateMayOverflow is false, we proved that the induction increment
cannot overflow in the vector loop. This allows setting NUW in some
cases when folding the tail.
PR: https://github.com/llvm/llvm-project/pull/111758
Currently it's very difficult to improve the cost model for tail-folded
loops because as soon as you add a VPInstruction::computeCost function
that adds the costs of instructions such as
VPInstruction::ActiveLaneMask
and VPInstruction::ExplicitVectorLength the assert in
LoopVectorizationPlanner::computeBestVF fails for some tests. This is
because the VF chosen by the legacy cost model doesn't match the vplan
cost model. See PR #90191. This assert is currently making it difficult
to improve the cost model.
Hopefully we will be in a position to remove the assert soon, however
in order to do that we have to fix up a whole bunch of tests that rely
upon the legacy cost model output. I've tried my best to update
these tests to use vplan output instead.
There is still work needed for the VF=1 case because the vplan cost
model is not printed out in this case. I've not attempted to fix those
in this patch.
- Consider MainLoopVF * IC when determining whether Epilogue
Vectorization is profitable
- Allow the same VF for the Epilogue as for the main loop
- Use an upper bound for the trip count of the Epilogue when choosing
the Epilogue VF
PR: https://github.com/llvm/llvm-project/pull/108190
---------
Co-authored-by: Florian Hahn <flo@fhahn.com>
If we have a pointer AddRec, the maximum increment is
2^(pointer-index-wdith - 1) - 1. This means that if incrementing the
AddRec wraps, the distance between the previously accessed location and
the wrapped location is > 2^(pointer-index-wdith - 1), i.e. if the GEP
for the AddRec is inbounds, this would be poison due to the object being
larger than half the pointer index type space. The poison would be
immediate UB when the memory access gets executed..
Similar reasoning can be applied for decrements.
PR: https://github.com/llvm/llvm-project/pull/113126
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
Many tests that were in test/Analysis/CostModel were actually
loop vectoriser tests. I've moved them as follows:
Analysis/CostModel/X86 -> Transforms/LoopVectorize/X86/CostModel
Analysis/CostModel/AArch64/arith-fp-frem.ll ->
Transforms/LoopVectorize/AArch64/arith-fp-frem-costs.ll
AMD has it's own implementation of vector calls.
New vector calls are introduced in the library for exp10, log10, sincos and finite asin/acos
Please refer [https://github.com/amd/aocl-libm-ose]
---------
Co-authored-by: Rohit Aggarwal <Rohit.Aggarwal@amd.com>
In some cases, VPWidenCastRecipes are created but not considered in the
legacy cost model, including truncates/extends when evaluating a reduction
in a smaller type. Return 0 for such casts for now, to avoid divergences
between VPlan and legacy cost models.
Fixes https://github.com/llvm/llvm-project/issues/113526.
In some cases, Previous (and its operands) can be hoisted. This allows
supporting additional cases where sinking of all users of to FOR fails,
e.g. due having to sink recipes with side-effects.
This fixes a crash where we fail to create a scalar VPlan for a
first-order recurrence, but can create a vector VPlan, because the trunc
instruction of an IV which generates the previous value of the
recurrence has been optimized to a truncated induction recipe, thus
hoisting it to the beginning.
Fixes https://github.com/llvm/llvm-project/issues/106523.
PR: https://github.com/llvm/llvm-project/pull/108945
Previously the legacy cost model would pick the type for the cost
computation depending on the order of the members in the input IR.
This is incompatible with the VPlan-based cost model (independent of
original IR order) and also doesn't match code-gen, which uses the type
of the insert position.
Update the legacy cost model to use the type (and address space) from
the Group's insert position.
This brings the legacy cost model in line with the legacy cost model and
fixes a divergence between both models.
Note that the X86 cost model seems to assign different costs to groups
with i64 and double types. Added a TODO to check.
Fixes https://github.com/llvm/llvm-project/issues/112922.
Update fixupIVUsers to compute the value for escaped inductions using
the already computed end value of the induction (EndValue), but
subtracting the step.
This results in slightly simpler codegen, as we avoid computing the full
transformed index at VectorTripCount - 1.
PR: https://github.com/llvm/llvm-project/pull/110576
After 7f74651, the pointer operand may be replicated of a PtrAdd. Instead
of requesting a single scalar, request lane 0, which correctly handles the
case when there is a scalar-per-lane.
Fixes https://github.com/llvm/llvm-project/issues/111606.
Implement VPBlendRecipe::computeCost. VPBlendRecipe is currently is also
used if only the first lane is used.
This also requires pre-computing costs for forced scalars and
instructions considered profitable to scalarize. For those, the cost
will be computed separately in the legacy cost model. This will also be
needed when implementing VPReplicateRecipe::computeCost.
Update VPInterleaveRecipe to always use the pointer to member 0 as
pointer argument. This in many cases helps to remove unneeded index
adjustments and simplifies VPInterleaveRecipe::execute.
In some rare cases, the address of member 0 does not dominate the insert
position of the interleave group. In those cases a PtrAdd VPInstruction
is emitted to compute the address of member 0 based on the address of
the insert position. Alternatively we could hoist the recipe computing
the address of member 0.
The legacy cost model always computes the cost for uniforms as cost of
VF = 1, but VPWidenCallRecipes would be created, as
setVectorizedCallDecisions would not consider uniform calls.
Fix setVectorizedCallDecision to set to Scalarize, if the call is
uniform-after-vectorization.
This fixes a bug in VPlan construction uncovered by the VPlan-based
cost model.
Fixes https://github.com/llvm/llvm-project/issues/111040.
This fixes another case where the VPlan-based and legacy cost models
disagree. If any of the operands is predicated, it can't be trivially
hoisted and we should consider the cost for evaluating it each loop
iteration.
Fixes https://github.com/llvm/llvm-project/issues/108697.
Predicated instructions cannot hoisted trivially, so don't treat them as
uniform value in the cost model.
This fixes a difference between legacy and VPlan-based cost model.
Fixes https://github.com/llvm/llvm-project/issues/110295.
Unify logic for mayWriteToMemory and mayHaveSideEffects for
VPInstruction, with the later relying on the former. Also extend to
handle binary operators.
Split off from https://github.com/llvm/llvm-project/pull/106441
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 patch is split off from PR #88385 and concerns only the code
related to the legality of vectorising early exit loops. It is the first
step in adding support for vectorisation of a simple class of loops that
typically involves searching for something, i.e.
for (int i = 0; i < n; i++) {
if (p[i] == val)
return i;
}
return n;
or
for (int i = 0; i < n; i++) {
if (p1[i] != p2[i])
return i;
}
return n;
In this initial commit LoopVectorizationLegality will only consider
early exit loops legal for vectorising if they follow these criteria:
1. There are no stores in the loop.
2. The loop must have only one early exit like those shown in the above
example. I have referred to such exits as speculative early exits, to
distinguish from existing support for early exits where the
exit-not-taken count is known exactly at compile time.
3. The early exit block dominates the latch block.
4. The latch block must have an exact exit count.
5. There are no loads after the early exit block.
6. The loop must not contain reductions or recurrences. I don't see
anything fundamental blocking vectorisation of such loops, but I just
haven't done the work to support them yet.
7. We must be able to prove at compile-time that loops will not contain
faulting loads.
Tests have been added here:
Transforms/LoopVectorize/AArch64/simple_early_exit.ll
Update target-specific test to not force VF/UF, but instead use the
cost-model. There are similar tests arleady outside X86 and those force
VF & UF.
With this change, the target specific test checks the cost model.
Changes in picked VF/UF are limited to test_pr62954_scalar_epilogue_required,
and should preserve the original spirit of the test.
