Commit Graph

678 Commits

Author SHA1 Message Date
Adam Nemet 951c6b1955 [LV] Port the remarks in processLoop to the new streaming API
This completes LV.

llvm-svn: 282821
2016-09-30 00:29:30 +00:00
Adam Nemet 4fd9c42279 [LV] Port the last opt remark in Hints to the new streaming interface
llvm-svn: 282820
2016-09-30 00:29:25 +00:00
Adam Nemet 877ccee8cc [LAA, LV] Port to new streaming interface for opt remarks. Update LV
(Recommit after making sure IsVerbose gets properly initialized in
DiagnosticInfoOptimizationBase.  See previous commit that takes care of
this.)

OptimizationRemarkAnalysis directly takes the role of the report that is
generated by LAA.

Then we need the magic to be able to turn an LAA remark into an LV
remark.  This is done via a new OptimizationRemark ctor.

llvm-svn: 282813
2016-09-30 00:01:30 +00:00
Adam Nemet 556a06b1ee Revert "[LAA, LV] Port to new streaming interface for opt remarks. Update LV"
This reverts commit r282758.

There are some clang failures I haven't seen.

llvm-svn: 282759
2016-09-29 20:17:37 +00:00
Adam Nemet c1d21817d1 [LAA, LV] Port to new streaming interface for opt remarks. Update LV
OptimizationRemarkAnalysis directly takes the role of the report that is
generated by LAA.

Then we need the magic to be able to turn an LAA remark into an LV
remark.  This is done via a new OptimizationRemark ctor.

llvm-svn: 282758
2016-09-29 20:12:18 +00:00
Adam Nemet 3628282a77 [LV] Port OptimizationRemarkAnalysisFPCommute and
OptimizationRemarkAnalysisAliasing to new streaming API for opt remarks

llvm-svn: 282742
2016-09-29 18:04:47 +00:00
Adam Nemet 6e1edd5d1f [LV] Convert processLoop to new streaming API for opt remarks
llvm-svn: 282740
2016-09-29 17:55:13 +00:00
Adam Nemet eb0ba8d50f [LV] Move static createMissedAnalysis from anonymous to global namespace
This is an attempt to fix a windows bot.

llvm-svn: 282730
2016-09-29 17:25:00 +00:00
Adam Nemet 0bfa441701 [LV] Convert CostModel to use the new streaming opt remark API
Here we can already remove the member function emitAnalysis.

llvm-svn: 282729
2016-09-29 17:15:48 +00:00
Adam Nemet 70757dd95a [LV] Split most of createMissedAnalysis into a static function. NFC
This will be shared between Legality and CostModel.

llvm-svn: 282728
2016-09-29 17:05:35 +00:00
Adam Nemet 9988ca3db3 [LV] Convert all but one opt remark in Legality to new streaming interface
The last one remaining after which emitAnalysis can be removed is when
we convert the LAA's report to a vectorization report.  This requires
converting LAA to the new interface first.

llvm-svn: 282726
2016-09-29 16:49:42 +00:00
Adam Nemet 9a1a5ef212 [LV] Convert emitRemark to new opt remark streaming interface
Also renamed the function to emitRemarkWithHints to better reflect what
the function actually does.

llvm-svn: 282723
2016-09-29 16:23:12 +00:00
Adam Nemet 04758ba385 Shorten DiagnosticInfoOptimizationRemark* to OptimizationRemark*. NFC
With the new streaming interface, these class names need to be typed a
lot and it's way too looong.

llvm-svn: 282544
2016-09-27 22:19:23 +00:00
Matthew Simpson b764aba2ab [LV] Scalarize instructions marked scalar after vectorization
This patch ensures that we actually scalarize instructions marked scalar after
vectorization. Previously, such instructions may have been vectorized instead.

Differential Revision: https://reviews.llvm.org/D23889

llvm-svn: 282418
2016-09-26 17:08:37 +00:00
Matthew Simpson 15869f86d8 [LV] Don't emit unused scalars for uniform instructions
If we identify an instruction as uniform after vectorization, we know that we
should only use the value corresponding to the first vector lane of each unroll
iteration. However, when scalarizing such instructions, we still produce values
for the other vector lanes. This patch prevents us from generating the unused
scalars.

Differential Revision: https://reviews.llvm.org/D24275

llvm-svn: 282087
2016-09-21 16:50:24 +00:00
Matthew Simpson a95e8bb7ed [LV] Rename "Width" to "Lane" (NFC)
llvm-svn: 282083
2016-09-21 16:09:23 +00:00
Elena Demikhovsky 5f8cc0c346 [Loop Vectorizer] Consecutive memory access - fixed and simplified
Amended consecutive memory access detection in Loop Vectorizer.
Load/Store were not handled properly without preceding GEP instruction.

Differential Revision: https://reviews.llvm.org/D20789

llvm-svn: 281853
2016-09-18 13:56:08 +00:00
Elena Demikhovsky a1a0e7ddbe [Loop vectorizer] Simplified GEP cloning. NFC.
Simplified GEP cloning in vectorizeMemoryInstruction().
Added an assertion that checks consecutive GEP, which should have only one loop-variant operand.

Differential Revision: https://reviews.llvm.org/D24557

llvm-svn: 281851
2016-09-18 09:22:54 +00:00
Matthew Simpson b25e87fca5 [LV] Process pointer IVs with PHINodes in collectLoopUniforms
This patch moves the processing of pointer induction variables in
collectLoopUniforms from the consecutive pointer phase of the analysis to the
phi node phase. Previously, if a pointer induction variable was used by both a
scalarized non-memory instruction as well as a vectorized memory instruction,
we would incorrectly identify the pointer as uniform. Pointer induction
variables should be treated the same as other phi nodes. That is, they are
uniform if all users of the induction variable and induction variable update
are uniform.

Differential Revision: https://reviews.llvm.org/D24511

llvm-svn: 281485
2016-09-14 14:47:40 +00:00
Matthew Simpson 81335bec96 [LV] Clean up uniform induction variable analysis (NFC)
llvm-svn: 281368
2016-09-13 19:01:45 +00:00
Matthew Simpson bfe5e1817b [LV] Ensure proper handling of multi-use case when collecting uniforms
The test case included in r280979 wasn't checking what it was supposed to be
checking for the predicated store case. Fixing the test revealed that the
multi-use case (when a pointer is used by both vectorized and scalarized memory
accesses) wasn't being handled properly. We can't skip over
non-consecutive-like pointers since they may have looked consecutive-like with
a different memory access.

llvm-svn: 280992
2016-09-08 21:38:26 +00:00
Matthew Simpson 408a3abcfe [LV] Don't mark pointers used by scalarized memory accesses uniform
Previously, all consecutive pointers were marked uniform after vectorization.
However, if a consecutive pointer is used by a memory access that is eventually
scalarized, the pointer won't remain uniform after all. An example is
predicated stores. Even though a predicated store may be consecutive, it will
still be scalarized, making it's pointer operand non-uniform.

This patch updates the logic in collectLoopUniforms to consider the cases where
a memory access may be scalarized. If a memory access may be scalarized, its
pointer operand is not marked uniform. The determination of whether a given
memory instruction will be scalarized or not has been moved into a common
function that is used by the vectorizer, cost model, and legality analysis.

Differential Revision: https://reviews.llvm.org/D24271

llvm-svn: 280979
2016-09-08 19:11:07 +00:00
Matthew Simpson b65c230eab [LV] Ensure reverse interleaved group GEPs remain uniform
For uniform instructions, we're only required to generate a scalar value for
the first vector lane of each unroll iteration. Thus, if we have a reverse
interleaved group, computing the member index off the scalar GEP corresponding
to the last vector lane of its pointer operand technically makes the GEP
non-uniform. We should compute the member index off the first scalar GEP
instead.

I've added the updated member index computation to the existing reverse
interleaved group test.

llvm-svn: 280497
2016-09-02 16:19:22 +00:00
Matthew Simpson 9e7851ed31 [LV] Use ScalarParts for ad-hoc pointer IV scalarization (NFCI)
We can now maintain scalar values in VectorLoopValueMap. Thus, we no longer
have to create temporary vectors with insertelement instructions when handling
pointer induction variables. This case was mistakenly missed from r279649 when
refactoring the other scalarization code.

llvm-svn: 280405
2016-09-01 19:40:19 +00:00
Matthew Simpson 922af076c7 [LV] Move VectorParts allocation and mapping into PHI widening (NFC)
This patch moves the allocation of VectorParts for PHI nodes into the actual
PHI widening code. Previously, we allocated these VectorParts in
vectorizeBlockInLoop, and passed them by reference to widenPHIInstruction. Upon
returning, we would then map the VectorParts in VectorLoopValueMap. This
behavior is problematic for the cases where we only want to generate a scalar
version of a PHI node. For example, if in the future we only generate a scalar
version of an induction variable, we would end up inserting an empty vector
entry into the map once we return to vectorizeBlockInLoop. We now no longer
need to pass VectorParts to the various PHI widening functions, and we can keep
VectorParts allocation as close as possible to the point at which they are
actually mapped in VectorLoopValueMap.

llvm-svn: 280390
2016-09-01 18:14:27 +00:00