From: David Sherwood Date: Wed, 15 Mar 2023 14:25:21 +0000 (+0000) Subject: [LoopVectorize] Don't tail-fold for scalable VFs when there is no scalar tail X-Git-Tag: upstream/17.0.6~13613 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=1c4fedfa35aeb8b456e2d8f4f826c0e026b9d863;p=platform%2Fupstream%2Fllvm.git [LoopVectorize] Don't tail-fold for scalable VFs when there is no scalar tail Currently in LoopVectorize we avoid tail-folding if we can prove the trip count is always a multiple of the maximum fixed-width VF. This works because we know the vectoriser only ever chooses a VF that is a power of 2. However, if we are also considering scalable VFs then we conservatively bail out of the optimisation because we don't know the value of vscale, which could be an odd or prime number, etc. This patch tries to enable the same optimisation for scalable VFs by asking if vscale is known to be a power of 2. If so, we can then query the maximum value of vscale and use the same logic as we do for fixed-width VFs. I've also added a new TTI hook called isVScaleKnownToBeAPowerOfTwo that does the same thing as the existing TargetLowering hook. Differential Revision: https://reviews.llvm.org/D146199 --- diff --git a/llvm/include/llvm/Analysis/TargetTransformInfo.h b/llvm/include/llvm/Analysis/TargetTransformInfo.h index ba89776..3ce5f5c 100644 --- a/llvm/include/llvm/Analysis/TargetTransformInfo.h +++ b/llvm/include/llvm/Analysis/TargetTransformInfo.h @@ -1055,6 +1055,9 @@ public: /// \return the value of vscale to tune the cost model for. std::optional getVScaleForTuning() const; + /// \return true if vscale is known to be a power of 2 + bool isVScaleKnownToBeAPowerOfTwo() const; + /// \return True if the vectorization factor should be chosen to /// make the vector of the smallest element type match the size of a /// vector register. For wider element types, this could result in @@ -1815,6 +1818,7 @@ public: virtual unsigned getMinVectorRegisterBitWidth() const = 0; virtual std::optional getMaxVScale() const = 0; virtual std::optional getVScaleForTuning() const = 0; + virtual bool isVScaleKnownToBeAPowerOfTwo() const = 0; virtual bool shouldMaximizeVectorBandwidth(TargetTransformInfo::RegisterKind K) const = 0; virtual ElementCount getMinimumVF(unsigned ElemWidth, @@ -2360,6 +2364,9 @@ public: std::optional getVScaleForTuning() const override { return Impl.getVScaleForTuning(); } + bool isVScaleKnownToBeAPowerOfTwo() const override { + return Impl.isVScaleKnownToBeAPowerOfTwo(); + } bool shouldMaximizeVectorBandwidth( TargetTransformInfo::RegisterKind K) const override { return Impl.shouldMaximizeVectorBandwidth(K); diff --git a/llvm/include/llvm/Analysis/TargetTransformInfoImpl.h b/llvm/include/llvm/Analysis/TargetTransformInfoImpl.h index 18b3139..dd2de49 100644 --- a/llvm/include/llvm/Analysis/TargetTransformInfoImpl.h +++ b/llvm/include/llvm/Analysis/TargetTransformInfoImpl.h @@ -439,6 +439,7 @@ public: std::optional getMaxVScale() const { return std::nullopt; } std::optional getVScaleForTuning() const { return std::nullopt; } + bool isVScaleKnownToBeAPowerOfTwo() const { return false; } bool shouldMaximizeVectorBandwidth(TargetTransformInfo::RegisterKind K) const { diff --git a/llvm/include/llvm/CodeGen/BasicTTIImpl.h b/llvm/include/llvm/CodeGen/BasicTTIImpl.h index 81c0074..5517ad7 100644 --- a/llvm/include/llvm/CodeGen/BasicTTIImpl.h +++ b/llvm/include/llvm/CodeGen/BasicTTIImpl.h @@ -714,6 +714,7 @@ public: std::optional getMaxVScale() const { return std::nullopt; } std::optional getVScaleForTuning() const { return std::nullopt; } + bool isVScaleKnownToBeAPowerOfTwo() const { return false; } /// Estimate the overhead of scalarizing an instruction. Insert and Extract /// are set if the demanded result elements need to be inserted and/or diff --git a/llvm/lib/Analysis/TargetTransformInfo.cpp b/llvm/lib/Analysis/TargetTransformInfo.cpp index f444b39..b536577 100644 --- a/llvm/lib/Analysis/TargetTransformInfo.cpp +++ b/llvm/lib/Analysis/TargetTransformInfo.cpp @@ -680,6 +680,10 @@ std::optional TargetTransformInfo::getVScaleForTuning() const { return TTIImpl->getVScaleForTuning(); } +bool TargetTransformInfo::isVScaleKnownToBeAPowerOfTwo() const { + return TTIImpl->isVScaleKnownToBeAPowerOfTwo(); +} + bool TargetTransformInfo::shouldMaximizeVectorBandwidth( TargetTransformInfo::RegisterKind K) const { return TTIImpl->shouldMaximizeVectorBandwidth(K); diff --git a/llvm/lib/Target/AArch64/AArch64ISelLowering.cpp b/llvm/lib/Target/AArch64/AArch64ISelLowering.cpp index 521caad..95e0bb8 100644 --- a/llvm/lib/Target/AArch64/AArch64ISelLowering.cpp +++ b/llvm/lib/Target/AArch64/AArch64ISelLowering.cpp @@ -6030,10 +6030,6 @@ bool AArch64TargetLowering::mergeStoresAfterLegalization(EVT VT) const { return !Subtarget->useSVEForFixedLengthVectors(); } -bool AArch64TargetLowering::isVScaleKnownToBeAPowerOfTwo() const { - return true; -} - bool AArch64TargetLowering::useSVEForFixedLengthVectorVT( EVT VT, bool OverrideNEON) const { if (!VT.isFixedLengthVector() || !VT.isSimple()) diff --git a/llvm/lib/Target/AArch64/AArch64ISelLowering.h b/llvm/lib/Target/AArch64/AArch64ISelLowering.h index c1b2127..55a8397 100644 --- a/llvm/lib/Target/AArch64/AArch64ISelLowering.h +++ b/llvm/lib/Target/AArch64/AArch64ISelLowering.h @@ -917,7 +917,7 @@ public: SDValue Chain, SDValue InFlag, SDValue PStateSM, bool Entry) const; - bool isVScaleKnownToBeAPowerOfTwo() const override; + bool isVScaleKnownToBeAPowerOfTwo() const override { return true; } // Normally SVE is only used for byte size vectors that do not fit within a // NEON vector. This changes when OverrideNEON is true, allowing SVE to be diff --git a/llvm/lib/Target/AArch64/AArch64TargetTransformInfo.h b/llvm/lib/Target/AArch64/AArch64TargetTransformInfo.h index 870a031..287c582 100644 --- a/llvm/lib/Target/AArch64/AArch64TargetTransformInfo.h +++ b/llvm/lib/Target/AArch64/AArch64TargetTransformInfo.h @@ -131,6 +131,8 @@ public: return ST->getVScaleForTuning(); } + bool isVScaleKnownToBeAPowerOfTwo() const { return true; } + bool shouldMaximizeVectorBandwidth(TargetTransformInfo::RegisterKind K) const; /// Try to return an estimate cost factor that can be used as a multiplier diff --git a/llvm/lib/Target/RISCV/RISCVTargetTransformInfo.h b/llvm/lib/Target/RISCV/RISCVTargetTransformInfo.h index 2067140..b713b06 100644 --- a/llvm/lib/Target/RISCV/RISCVTargetTransformInfo.h +++ b/llvm/lib/Target/RISCV/RISCVTargetTransformInfo.h @@ -232,6 +232,10 @@ public: return ST->is64Bit() && !ST->hasVInstructionsI64(); } + bool isVScaleKnownToBeAPowerOfTwo() const { + return TLI->isVScaleKnownToBeAPowerOfTwo(); + } + /// \returns How the target needs this vector-predicated operation to be /// transformed. TargetTransformInfo::VPLegalization diff --git a/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp b/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp index 58a80aa..c391882 100644 --- a/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp +++ b/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp @@ -5155,16 +5155,26 @@ LoopVectorizationCostModel::computeMaxVF(ElementCount UserVF, unsigned UserIC) { } FixedScalableVFPair MaxFactors = computeFeasibleMaxVF(TC, UserVF, true); + // Avoid tail folding if the trip count is known to be a multiple of any VF - // we chose. - // FIXME: The condition below pessimises the case for fixed-width vectors, - // when scalable VFs are also candidates for vectorization. - if (MaxFactors.FixedVF.isVector() && !MaxFactors.ScalableVF) { - ElementCount MaxFixedVF = MaxFactors.FixedVF; - assert((UserVF.isNonZero() || isPowerOf2_32(MaxFixedVF.getFixedValue())) && + // we choose. + std::optional MaxPowerOf2RuntimeVF = + MaxFactors.FixedVF.getFixedValue(); + if (MaxFactors.ScalableVF) { + std::optional MaxVScale = getMaxVScale(*TheFunction, TTI); + if (MaxVScale && TTI.isVScaleKnownToBeAPowerOfTwo()) { + MaxPowerOf2RuntimeVF = std::max( + *MaxPowerOf2RuntimeVF, + *MaxVScale * MaxFactors.ScalableVF.getKnownMinValue()); + } else + MaxPowerOf2RuntimeVF = std::nullopt; // Stick with tail-folding for now. + } + + if (MaxPowerOf2RuntimeVF) { + assert((UserVF.isNonZero() || isPowerOf2_32(*MaxPowerOf2RuntimeVF)) && "MaxFixedVF must be a power of 2"); - unsigned MaxVFtimesIC = UserIC ? MaxFixedVF.getFixedValue() * UserIC - : MaxFixedVF.getFixedValue(); + unsigned MaxVFtimesIC = + UserIC ? *MaxPowerOf2RuntimeVF * UserIC : *MaxPowerOf2RuntimeVF; ScalarEvolution *SE = PSE.getSE(); const SCEV *BackedgeTakenCount = PSE.getBackedgeTakenCount(); const SCEV *ExitCount = SE->getAddExpr( diff --git a/llvm/test/Transforms/LoopVectorize/AArch64/eliminate-tail-predication.ll b/llvm/test/Transforms/LoopVectorize/AArch64/eliminate-tail-predication.ll index c0b2073..6b5d69d 100644 --- a/llvm/test/Transforms/LoopVectorize/AArch64/eliminate-tail-predication.ll +++ b/llvm/test/Transforms/LoopVectorize/AArch64/eliminate-tail-predication.ll @@ -1,20 +1,51 @@ +; NOTE: Assertions have been autogenerated by utils/update_test_checks.py UTC_ARGS: --version 2 ; RUN: opt -passes=loop-vectorize -force-target-instruction-cost=1 -prefer-predicate-over-epilogue=predicate-dont-vectorize -S < %s 2>&1 | FileCheck %s -; This test currently fails when the LV calculates a maximums safe -; distance for scalable vectors, because the code to eliminate the tail is -; pessimistic when scalable vectors are considered. This will be addressed -; in a future patch, at which point we should be able to un-XFAIL the -; test. The expected output is to vectorize this loop without predication -; (and thus have unpredicated vector store). -; XFAIL: * - -; CHECK: store <4 x i32> - target triple = "aarch64" target datalayout = "e-m:o-i64:64-i128:128-n32:64-S128" define void @f1(ptr %A) #0 { +; CHECK-LABEL: define void @f1 +; CHECK-SAME: (ptr [[A:%.*]]) #[[ATTR0:[0-9]+]] { +; CHECK-NEXT: entry: +; CHECK-NEXT: [[TMP0:%.*]] = call i64 @llvm.vscale.i64() +; CHECK-NEXT: [[TMP1:%.*]] = mul i64 [[TMP0]], 4 +; CHECK-NEXT: [[MIN_ITERS_CHECK:%.*]] = icmp ult i64 1024, [[TMP1]] +; CHECK-NEXT: br i1 [[MIN_ITERS_CHECK]], label [[SCALAR_PH:%.*]], label [[VECTOR_PH:%.*]] +; CHECK: vector.ph: +; CHECK-NEXT: [[TMP2:%.*]] = call i64 @llvm.vscale.i64() +; CHECK-NEXT: [[TMP3:%.*]] = mul i64 [[TMP2]], 4 +; CHECK-NEXT: [[N_MOD_VF:%.*]] = urem i64 1024, [[TMP3]] +; CHECK-NEXT: [[N_VEC:%.*]] = sub i64 1024, [[N_MOD_VF]] +; CHECK-NEXT: br label [[VECTOR_BODY:%.*]] +; CHECK: vector.body: +; CHECK-NEXT: [[INDEX:%.*]] = phi i64 [ 0, [[VECTOR_PH]] ], [ [[INDEX_NEXT:%.*]], [[VECTOR_BODY]] ] +; CHECK-NEXT: [[TMP4:%.*]] = add i64 [[INDEX]], 0 +; CHECK-NEXT: [[TMP5:%.*]] = getelementptr inbounds i32, ptr [[A]], i64 [[TMP4]] +; CHECK-NEXT: [[TMP6:%.*]] = getelementptr inbounds i32, ptr [[TMP5]], i32 0 +; CHECK-NEXT: store shufflevector ( insertelement ( poison, i32 1, i64 0), poison, zeroinitializer), ptr [[TMP6]], align 4 +; CHECK-NEXT: [[TMP7:%.*]] = call i64 @llvm.vscale.i64() +; CHECK-NEXT: [[TMP8:%.*]] = mul i64 [[TMP7]], 4 +; CHECK-NEXT: [[INDEX_NEXT]] = add nuw i64 [[INDEX]], [[TMP8]] +; CHECK-NEXT: [[TMP9:%.*]] = icmp eq i64 [[INDEX_NEXT]], [[N_VEC]] +; CHECK-NEXT: br i1 [[TMP9]], label [[MIDDLE_BLOCK:%.*]], label [[VECTOR_BODY]], !llvm.loop [[LOOP0:![0-9]+]] +; CHECK: middle.block: +; CHECK-NEXT: [[CMP_N:%.*]] = icmp eq i64 1024, [[N_VEC]] +; CHECK-NEXT: br i1 [[CMP_N]], label [[EXIT:%.*]], label [[SCALAR_PH]] +; CHECK: scalar.ph: +; CHECK-NEXT: [[BC_RESUME_VAL:%.*]] = phi i64 [ [[N_VEC]], [[MIDDLE_BLOCK]] ], [ 0, [[ENTRY:%.*]] ] +; CHECK-NEXT: br label [[FOR_BODY:%.*]] +; CHECK: for.body: +; CHECK-NEXT: [[IV:%.*]] = phi i64 [ [[BC_RESUME_VAL]], [[SCALAR_PH]] ], [ [[IV_NEXT:%.*]], [[FOR_BODY]] ] +; CHECK-NEXT: [[ARRAYIDX:%.*]] = getelementptr inbounds i32, ptr [[A]], i64 [[IV]] +; CHECK-NEXT: store i32 1, ptr [[ARRAYIDX]], align 4 +; CHECK-NEXT: [[IV_NEXT]] = add nuw nsw i64 [[IV]], 1 +; CHECK-NEXT: [[EXITCOND:%.*]] = icmp ne i64 [[IV_NEXT]], 1024 +; CHECK-NEXT: br i1 [[EXITCOND]], label [[FOR_BODY]], label [[EXIT]], !llvm.loop [[LOOP3:![0-9]+]] +; CHECK: exit: +; CHECK-NEXT: ret void +; entry: br label %for.body @@ -30,4 +61,4 @@ exit: ret void } -attributes #0 = { "target-features"="+sve" } +attributes #0 = { "target-features"="+sve" vscale_range(1,16) } diff --git a/llvm/test/Transforms/LoopVectorize/AArch64/sve-tail-folding.ll b/llvm/test/Transforms/LoopVectorize/AArch64/sve-tail-folding.ll index 157e763..f302ff2 100644 --- a/llvm/test/Transforms/LoopVectorize/AArch64/sve-tail-folding.ll +++ b/llvm/test/Transforms/LoopVectorize/AArch64/sve-tail-folding.ll @@ -777,41 +777,32 @@ while.end.loopexit: ; preds = %while.body define void @simple_memset_trip1024(i32 %val, ptr %ptr, i64 %n) #0 { ; CHECK-LABEL: @simple_memset_trip1024( ; CHECK-NEXT: entry: -; CHECK-NEXT: br i1 false, label [[SCALAR_PH:%.*]], label [[VECTOR_PH:%.*]] -; CHECK: vector.ph: ; CHECK-NEXT: [[TMP0:%.*]] = call i64 @llvm.vscale.i64() ; CHECK-NEXT: [[TMP1:%.*]] = mul i64 [[TMP0]], 4 +; CHECK-NEXT: [[MIN_ITERS_CHECK:%.*]] = icmp ult i64 1024, [[TMP1]] +; CHECK-NEXT: br i1 [[MIN_ITERS_CHECK]], label [[SCALAR_PH:%.*]], label [[VECTOR_PH:%.*]] +; CHECK: vector.ph: ; CHECK-NEXT: [[TMP2:%.*]] = call i64 @llvm.vscale.i64() ; CHECK-NEXT: [[TMP3:%.*]] = mul i64 [[TMP2]], 4 -; CHECK-NEXT: [[TMP4:%.*]] = sub i64 [[TMP3]], 1 -; CHECK-NEXT: [[N_RND_UP:%.*]] = add i64 1024, [[TMP4]] -; CHECK-NEXT: [[N_MOD_VF:%.*]] = urem i64 [[N_RND_UP]], [[TMP1]] -; CHECK-NEXT: [[N_VEC:%.*]] = sub i64 [[N_RND_UP]], [[N_MOD_VF]] -; CHECK-NEXT: [[TMP5:%.*]] = call i64 @llvm.vscale.i64() -; CHECK-NEXT: [[TMP6:%.*]] = mul i64 [[TMP5]], 4 -; CHECK-NEXT: [[TMP7:%.*]] = sub i64 1024, [[TMP6]] -; CHECK-NEXT: [[TMP8:%.*]] = icmp ugt i64 1024, [[TMP6]] -; CHECK-NEXT: [[TMP9:%.*]] = select i1 [[TMP8]], i64 [[TMP7]], i64 0 -; CHECK-NEXT: [[ACTIVE_LANE_MASK_ENTRY:%.*]] = call @llvm.get.active.lane.mask.nxv4i1.i64(i64 0, i64 1024) +; CHECK-NEXT: [[N_MOD_VF:%.*]] = urem i64 1024, [[TMP3]] +; CHECK-NEXT: [[N_VEC:%.*]] = sub i64 1024, [[N_MOD_VF]] ; CHECK-NEXT: [[BROADCAST_SPLATINSERT:%.*]] = insertelement poison, i32 [[VAL:%.*]], i64 0 ; CHECK-NEXT: [[BROADCAST_SPLAT:%.*]] = shufflevector [[BROADCAST_SPLATINSERT]], poison, zeroinitializer ; CHECK-NEXT: br label [[VECTOR_BODY:%.*]] ; CHECK: vector.body: ; CHECK-NEXT: [[INDEX1:%.*]] = phi i64 [ 0, [[VECTOR_PH]] ], [ [[INDEX_NEXT2:%.*]], [[VECTOR_BODY]] ] -; CHECK-NEXT: [[ACTIVE_LANE_MASK:%.*]] = phi [ [[ACTIVE_LANE_MASK_ENTRY]], [[VECTOR_PH]] ], [ [[ACTIVE_LANE_MASK_NEXT:%.*]], [[VECTOR_BODY]] ] -; CHECK-NEXT: [[TMP10:%.*]] = add i64 [[INDEX1]], 0 -; CHECK-NEXT: [[TMP11:%.*]] = getelementptr i32, ptr [[PTR:%.*]], i64 [[TMP10]] -; CHECK-NEXT: [[TMP12:%.*]] = getelementptr i32, ptr [[TMP11]], i32 0 -; CHECK-NEXT: call void @llvm.masked.store.nxv4i32.p0( [[BROADCAST_SPLAT]], ptr [[TMP12]], i32 4, [[ACTIVE_LANE_MASK]]) -; CHECK-NEXT: [[ACTIVE_LANE_MASK_NEXT]] = call @llvm.get.active.lane.mask.nxv4i1.i64(i64 [[INDEX1]], i64 [[TMP9]]) -; CHECK-NEXT: [[TMP13:%.*]] = call i64 @llvm.vscale.i64() -; CHECK-NEXT: [[TMP14:%.*]] = mul i64 [[TMP13]], 4 -; CHECK-NEXT: [[INDEX_NEXT2]] = add i64 [[INDEX1]], [[TMP14]] -; CHECK-NEXT: [[TMP15:%.*]] = xor [[ACTIVE_LANE_MASK_NEXT]], shufflevector ( insertelement ( poison, i1 true, i64 0), poison, zeroinitializer) -; CHECK-NEXT: [[TMP16:%.*]] = extractelement [[TMP15]], i32 0 -; CHECK-NEXT: br i1 [[TMP16]], label [[MIDDLE_BLOCK:%.*]], label [[VECTOR_BODY]], !llvm.loop [[LOOP22:![0-9]+]] +; CHECK-NEXT: [[TMP4:%.*]] = add i64 [[INDEX1]], 0 +; CHECK-NEXT: [[TMP5:%.*]] = getelementptr i32, ptr [[PTR:%.*]], i64 [[TMP4]] +; CHECK-NEXT: [[TMP6:%.*]] = getelementptr i32, ptr [[TMP5]], i32 0 +; CHECK-NEXT: store [[BROADCAST_SPLAT]], ptr [[TMP6]], align 4 +; CHECK-NEXT: [[TMP7:%.*]] = call i64 @llvm.vscale.i64() +; CHECK-NEXT: [[TMP8:%.*]] = mul i64 [[TMP7]], 4 +; CHECK-NEXT: [[INDEX_NEXT2]] = add nuw i64 [[INDEX1]], [[TMP8]] +; CHECK-NEXT: [[TMP9:%.*]] = icmp eq i64 [[INDEX_NEXT2]], [[N_VEC]] +; CHECK-NEXT: br i1 [[TMP9]], label [[MIDDLE_BLOCK:%.*]], label [[VECTOR_BODY]], !llvm.loop [[LOOP22:![0-9]+]] ; CHECK: middle.block: -; CHECK-NEXT: br i1 true, label [[WHILE_END_LOOPEXIT:%.*]], label [[SCALAR_PH]] +; CHECK-NEXT: [[CMP_N:%.*]] = icmp eq i64 1024, [[N_VEC]] +; CHECK-NEXT: br i1 [[CMP_N]], label [[WHILE_END_LOOPEXIT:%.*]], label [[SCALAR_PH]] ; CHECK: scalar.ph: ; CHECK-NEXT: [[BC_RESUME_VAL:%.*]] = phi i64 [ [[N_VEC]], [[MIDDLE_BLOCK]] ], [ 0, [[ENTRY:%.*]] ] ; CHECK-NEXT: br label [[WHILE_BODY:%.*]] @@ -846,4 +837,4 @@ while.end.loopexit: ; preds = %while.body !3 = distinct !{!3, !4} !4 = !{!"llvm.loop.vectorize.width", i32 4} -attributes #0 = { "target-features"="+sve" } +attributes #0 = { "target-features"="+sve" vscale_range(1,16) }