The corresponding function definition was removed by:
commit af45907653fd312264632b616eff0fad1ae1eb2e
Author: Sjoerd Meijer <sjoerd.meijer@arm.com>
Date: Mon Jun 29 15:40:03 2020 +0100
This attempts to expand the logic in the MVETailPredication pass to convert
active lane masks that the vectorizer produces to vctp instructions that the
backend can later turn into tail predicated loops. Especially for addrecs with
non-zero starts that can be created from epilog vectorization. There is some
adjustment to the logic to handle this, moving some of the code to check the
addrec earlier so that we can get the start value. This start value is then
incorporated into the logic of checkin the new vctp is valid, and there is a
newly added check that it is known to be a multiple of the VF as we expect.
Differential Revision: https://reviews.llvm.org/D146517
This adjusts all the MVE and CDE intrinsics now that v2i1 is a legal
type, to use a <2 x i1> as opposed to emulating the predicate with a
<4 x i1>. The v4i1 workarounds have been removed leaving the natural
v2i1 types, notably in vctp64 which now generates a v2i1 type.
AutoUpgrade code has been added to upgrade old IR, which needs to
convert the old v4i1 to a v2i1 be converting it back and forth to an
integer with arm.mve.v2i and arm.mve.i2v intrinsics. These should be
optimized away in the final assembly.
Differential Revision: https://reviews.llvm.org/D114455
This extends D108921 into a generic rule applied to constructing ExitLimits along all paths. The remaining paths (primarily howFarToZero) don't have the same reasoning about UB sensitivity as the howManyLessThan ones did. Instead, the remain cause for max counts being more precise than exact counts is that we apply context sensitive loop guards on the max path, and not on the exact path. That choice is mildly suspect, but out of scope of this patch.
The MVETailPredication.cpp change deserves a bit of explanation. We were previously figuring out that two SCEVs happened to be equal because the happened to be identical. When we optimized one with context sensitive information, but not the other, we lost the ability to prove them equal. So, cover this case by subtracting and then applying loop guards again. Without this, we see changes in test/CodeGen/Thumb2/mve-blockplacement.ll
Differential Revision: https://reviews.llvm.org/D109015
CGP can move instructions like a ptrtoint into a loop, but the
MVETailPredication when converting them will currently assume invariant
trip counts. This tries to ensure the operands are loop invariant, and
bails if not.
Differential Revision: https://reviews.llvm.org/D100550
Recently we improved the lowering of low overhead loops and tail
predicated loops, but concentrated first on the DLS do style loops. This
extends those improvements over to the WLS while loops, improving the
chance of lowering them successfully. To do this the lowering has to
change a little as the instructions are terminators that produce a value
- something that needs to be treated carefully.
Lowering starts at the Hardware Loop pass, inserting a new
llvm.test.start.loop.iterations that produces both an i1 to control the
loop entry and an i32 similar to the llvm.start.loop.iterations
intrinsic added for do loops. This feeds into the loop phi, properly
gluing the values together:
%wls = call { i32, i1 } @llvm.test.start.loop.iterations.i32(i32 %div)
%wls0 = extractvalue { i32, i1 } %wls, 0
%wls1 = extractvalue { i32, i1 } %wls, 1
br i1 %wls1, label %loop.ph, label %loop.exit
...
loop:
%lsr.iv = phi i32 [ %wls0, %loop.ph ], [ %iv.next, %loop ]
..
%iv.next = call i32 @llvm.loop.decrement.reg.i32(i32 %lsr.iv, i32 1)
%cmp = icmp ne i32 %iv.next, 0
br i1 %cmp, label %loop, label %loop.exit
The llvm.test.start.loop.iterations need to be lowered through ISel
lowering as a pair of WLS and WLSSETUP nodes, which each get converted
to t2WhileLoopSetup and t2WhileLoopStart Pseudos. This helps prevent
t2WhileLoopStart from being a terminator that produces a value,
something difficult to control at that stage in the pipeline. Instead
the t2WhileLoopSetup produces the value of LR (essentially acting as a
lr = subs rn, 0), t2WhileLoopStart consumes that lr value (the Bcc).
These are then converted into a single t2WhileLoopStartLR at the same
point as t2DoLoopStartTP and t2LoopEndDec. Otherwise we revert the loop
to prevent them from progressing further in the pipeline. The
t2WhileLoopStartLR is a single instruction that takes a GPR and produces
LR, similar to the WLS instruction.
%1:gprlr = t2WhileLoopStartLR %0:rgpr, %bb.3
t2B %bb.1
...
bb.2.loop:
%2:gprlr = PHI %1:gprlr, %bb.1, %3:gprlr, %bb.2
...
%3:gprlr = t2LoopEndDec %2:gprlr, %bb.2
t2B %bb.3
The t2WhileLoopStartLR can then be treated similar to the other low
overhead loop pseudos, eventually being lowered to a WLS providing the
branches are within range.
Differential Revision: https://reviews.llvm.org/D97729
The TripCount for a predicated vector loop body will be
ceil(ElementCount/Width). This alters the conversion of an
active.lane.mask to a VCPT intrinsics to match.
Differential Revision: https://reviews.llvm.org/D94608
This strips out a lot of the code that should no longer be needed from
the MVETailPredictionPass, leaving the important part - find active lane
mask instructions and convert them to VCTP operations.
Differential Revision: https://reviews.llvm.org/D91866
This changes the definition of t2DoLoopStart from
t2DoLoopStart rGPR
to
GPRlr = t2DoLoopStart rGPR
This will hopefully mean that low overhead loops are more tied together,
and we can more reliably generate loops without reverting or being at
the whims of the register allocator.
This is a fairly simple change in itself, but leads to a number of other
required alterations.
- The hardware loop pass, if UsePhi is set, now generates loops of the
form:
%start = llvm.start.loop.iterations(%N)
loop:
%p = phi [%start], [%dec]
%dec = llvm.loop.decrement.reg(%p, 1)
%c = icmp ne %dec, 0
br %c, loop, exit
- For this a new llvm.start.loop.iterations intrinsic was added, identical
to llvm.set.loop.iterations but produces a value as seen above, gluing
the loop together more through def-use chains.
- This new instrinsic conceptually produces the same output as input,
which is taught to SCEV so that the checks in MVETailPredication are not
affected.
- Some minor changes are needed to the ARMLowOverheadLoop pass, but it has
been left mostly as before. We should now more reliably be able to tell
that the t2DoLoopStart is correct without having to prove it, but
t2WhileLoopStart and tail-predicated loops will remain the same.
- And all the tests have been updated. There are a lot of them!
This patch on it's own might cause more trouble that it helps, with more
tail-predicated loops being reverted, but some additional patches can
hopefully improve upon that to get to something that is better overall.
Differential Revision: https://reviews.llvm.org/D89881
We have been running tests/benchmarks downstream with tail-predication enabled
for some time now and this behaves as expected: we are not aware of any
correctness issues, and this performs better across the board than with
tail-predication disabled. Time to flip the switch!
Differential Revision: https://reviews.llvm.org/D88093
This is a reimplementation of the overflow checks for the elementcount,
i.e. the 2nd argument of intrinsic get.active.lane.mask. The element
count is lowered in each iteration of the tail-predicated loop, and
we must prove that this expression doesn't overflow.
Many thanks to Eli Friedman and Sam Parker for all their help with
this work.
Differential Revision: https://reviews.llvm.org/D88086
This might be useful for testing. We already have an option -tail-predication
but that controls the MVETailPredication pass. This
-arm-loloops-disable-tail-pred is just for disabling it in the LowoverheadLoops
pass.
Differential Revision: https://reviews.llvm.org/D88212
Additional sanity checks were added to get.active.lane.mask's second argument,
the loop tripcount/elementcount, in rG635b87511ec3. Like the other (overflow)
checks, skip this if tail-predication is forced.
Differential Revision: https://reviews.llvm.org/D87769
This adds additional checks for the original scalar loop tripcount value, i.e.
get.active.lane.mask second argument, and perform several sanity checks to see
if it is of the form that we expect similarly like we already do for the IV
which is the first argument of get.active.lane.
Differential Revision: https://reviews.llvm.org/D86074
These arm_mve_vldr_gather_offset_predicated and
arm_mve_vstr_scatter_offset_predicated have some extra parameters
meaning the predicate is at a later operand. If a loop contains _only_
those masked instructions, we would miss transforming the active lane
mask.
Differential Revision: https://reviews.llvm.org/D86791
This adapts tail-predication to the new semantics of get.active.lane.mask as
defined in D86147. This means that:
- we can remove the BTC + 1 overflow checks because now the loop tripcount is
passed in to the intrinsic,
- we can immediately use that value to setup a counter for the number of
elements processed by the loop and don't need to materialize BTC + 1.
Differential Revision: https://reviews.llvm.org/D86303
Widen the scope of memory operations that are allowed to be tail predicated
to include gathers and scatters, such that loops that are auto-vectorized
with the option -enable-arm-maskedgatscat (and actually end up containing
an MVE gather or scatter) can be tail predicated.
Differential Revision: https://reviews.llvm.org/D85138
This pick ups the work on the overflow checks for get.active.lane.mask,
which ensure that it is safe to insert the VCTP intrinisc that enables
tail-predication. For a 2d auto-correlation kernel and its inner loop j:
M = Size - i;
for (j = 0; j < M; j++)
Sum += Input[j] * Input[j+i];
For this inner loop, the SCEV backedge taken count (BTC) expression is:
(-1 + (sext i16 %Size to i32)),+,-1}<nw><%for.body>
and LoopUtil cannotBeMaxInLoop couldn't calculate a bound on this, thus "BTC
cannot be max" could not be determined. So overflow behaviour had to be assumed
in the loop tripcount expression that uses the BTC. As a result
tail-predication had to be forced (with an option) for this case.
This change solves that by using ScalarEvolution's helper
getConstantMaxBackedgeTakenCount which is able to determine the range of BTC,
thus can determine it is safe, so that we no longer need to force tail-predication
as reflected in the changed test cases.
Differential Revision: https://reviews.llvm.org/D85737
This refactors option -disable-mve-tail-predication to take different arguments
so that we have 1 option to control tail-predication rather than several
different ones.
This is also a prep step for D82953, in which we want to reject reductions
unless that is requested with this option.
Differential Revision: https://reviews.llvm.org/D83133
After the rewrite of this pass (D79175) I missed one thing: the inserted VCTP
intrinsic can be cloned to exit blocks if there are instructions present in it
that perform the same operation, but this wasn't triggering anymore. However,
it turns out that for handling reductions, see D75533, it's actually easier not
not to have the VCTP in exit blocks, so this removes that code.
This was possible because it turned out that some other code that depended on
this, rematerialization of the trip count enabling more dead code removal
later, wasn't doing much anymore due to more aggressive dead code removal that
was added to the low-overhead loops pass.
Differential Revision: https://reviews.llvm.org/D82773
This patch stops the trunc, rint, round, floor and ceil intrinsics from blocking tail predication.
Differential Revision: https://reviews.llvm.org/D82553
To set up a tail-predicated loop, we need to to calculate the number of
elements processed by the loop. We can now use intrinsic
@llvm.get.active.lane.mask() to do this, which is emitted by the vectoriser in
D79100. This intrinsic generates a predicate for the masked loads/stores, and
consumes the Backedge Taken Count (BTC) as its second argument. We can now use
that to reconstruct the loop tripcount, instead of the IR pattern match
approach we were using before.
Many thanks to Eli Friedman and Sam Parker for all their help with this work.
This also adds overflow checks for the different, new expressions that we
create: the loop tripcount, and the sub expression that calculates the
remaining elements to be processed. For the latter, SCEV is not able to
calculate precise enough bounds, so we work around that at the moment, but is
not entirely correct yet, it's conservative. The overflow checks can be
overruled with a force flag, which is thus potentially unsafe (but not really
because the vectoriser is the only place where this intrinsic is emitted at the
moment). It's also good to mention that the tail-predication pass is not yet
enabled by default. We will follow up to see if we can implement these
overflow checks better, either by a change in SCEV or we may want revise the
definition of llvm.get.active.lane.mask.
Differential Revision: https://reviews.llvm.org/D79175
SCEVExpander modifies the underlying function so it is more suitable in
Transforms/Utils, rather than Analysis. This allows using other
transform utils in SCEVExpander.
This patch was originally committed as b8a3c34eee06, but broke the
modules build, as LoopAccessAnalysis was using the Expander.
The code-gen part of LAA was moved to lib/Transforms recently, so this
patch can be landed again.
Reviewers: sanjoy.google, efriedma, reames
Reviewed By: sanjoy.google
Differential Revision: https://reviews.llvm.org/D71537
There are some intrinsics like this that currently block tail
predication, but should be fine. This allows fma through, as the one
that I ran into. There may be others that need the same treatment but
I've only done this one here.
Differential Revision: https://reviews.llvm.org/D78385
Finding the loop tripcount is the first crucial step in preparing a loop for
tail-predication, and this adds a debug message if a tripcount cannot be found.
And while I was at it, I added some more comments here and there.
Differential Revision: https://reviews.llvm.org/D78485
Instead, represent the mask as out-of-line data in the instruction. This
should be more efficient in the places that currently use
getShuffleVector(), and paves the way for further changes to add new
shuffles for scalable vectors.
This doesn't change the syntax in textual IR. And I don't currently plan
to change the bitcode encoding in this patch, although we'll probably
need to do something once we extend shufflevector for scalable types.
I expect that once this is finished, we can then replace the raw "mask"
with something more appropriate for scalable vectors. Not sure exactly
what this looks like at the moment, but there are a few different ways
we could handle it. Maybe we could try to describe specific shuffles.
Or maybe we could define it in terms of a function to convert a fixed-length
array into an appropriate scalable vector, using a "step", or something
like that.
Differential Revision: https://reviews.llvm.org/D72467
Summary:
Future patches will make use of TTI to perform cost-model-driven `SCEVExpander::isHighCostExpansionHelper()`
This is a fully NFC patch to make things reviewable.
Reviewers: reames, mkazantsev, wmi, sanjoy
Reviewed By: mkazantsev
Subscribers: hiraditya, zzheng, javed.absar, dmgreen, llvm-commits
Tags: #llvm
Differential Revision: https://reviews.llvm.org/D73704
A small IR change in calculating the active lanes resulted in no longer
recognising tail-predication. Now recognise both an 'add' and 'or' in
the expression that calculates the active lanes.
Differential Revision: https://reviews.llvm.org/D74394
We had support for runtime trip count values, but not constants, and this adds
supports for that.
And added a minor optimisation while I was add it: don't invoke Cleanup when
there's nothing to clean up.
Differential Revision: https://reviews.llvm.org/D73198
This patch uses helper function rewriteLoopExitValues that is refactored in
D72602 to rematerialise the iteration count in exit blocks, so that we can
clean-up loop update expressions inside the hardware-loops later in
ARMLowOverheadLoops, which is necessary to get actual performance gains for
tail-predicated loops.
Differential Revision: https://reviews.llvm.org/D72714
I've added a few more debug messages to MVETailPredication because I wanted to
trace better which instructions are added/removed. And while I was at it, I
factored out one function which I thought was clearer, and have added some
comments to describe better the flow between MVETailPredication and
ARMLowOverheadLoops.
Differential Revision: https://reviews.llvm.org/D71549
SCEVExpander modifies the underlying function so it is more suitable in
Transforms/Utils, rather than Analysis. This allows using other
transform utils in SCEVExpander.
Reviewers: sanjoy.google, efriedma, reames
Reviewed By: sanjoy.google
Differential Revision: https://reviews.llvm.org/D71537
