//===-- VPlanTransforms.cpp - Utility VPlan to VPlan transforms -----------===// // // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // //===----------------------------------------------------------------------===// /// /// \file /// This file implements a set of utility VPlan to VPlan transformations. /// //===----------------------------------------------------------------------===// #include "VPlanTransforms.h" #include "VPRecipeBuilder.h" #include "VPlan.h" #include "VPlanAnalysis.h" #include "VPlanCFG.h" #include "VPlanDominatorTree.h" #include "VPlanHelpers.h" #include "VPlanPatternMatch.h" #include "VPlanUtils.h" #include "VPlanVerifier.h" #include "llvm/ADT/APInt.h" #include "llvm/ADT/PostOrderIterator.h" #include "llvm/ADT/STLExtras.h" #include "llvm/ADT/SetOperations.h" #include "llvm/ADT/SetVector.h" #include "llvm/ADT/SmallPtrSet.h" #include "llvm/ADT/TypeSwitch.h" #include "llvm/Analysis/IVDescriptors.h" #include "llvm/Analysis/InstSimplifyFolder.h" #include "llvm/Analysis/LoopInfo.h" #include "llvm/Analysis/MemoryLocation.h" #include "llvm/Analysis/ScalarEvolutionPatternMatch.h" #include "llvm/Analysis/ScopedNoAliasAA.h" #include "llvm/Analysis/VectorUtils.h" #include "llvm/IR/Intrinsics.h" #include "llvm/IR/MDBuilder.h" #include "llvm/IR/Metadata.h" #include "llvm/Support/Casting.h" #include "llvm/Support/TypeSize.h" #include "llvm/Transforms/Utils/LoopUtils.h" #include "llvm/Transforms/Utils/ScalarEvolutionExpander.h" using namespace llvm; using namespace VPlanPatternMatch; using namespace SCEVPatternMatch; bool VPlanTransforms::tryToConvertVPInstructionsToVPRecipes( VPlan &Plan, const TargetLibraryInfo &TLI) { ReversePostOrderTraversal> RPOT( Plan.getVectorLoopRegion()); for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly(RPOT)) { // Skip blocks outside region if (!VPBB->getParent()) break; VPRecipeBase *Term = VPBB->getTerminator(); auto EndIter = Term ? Term->getIterator() : VPBB->end(); // Introduce each ingredient into VPlan. for (VPRecipeBase &Ingredient : make_early_inc_range(make_range(VPBB->begin(), EndIter))) { VPValue *VPV = Ingredient.getVPSingleValue(); if (!VPV->getUnderlyingValue()) continue; Instruction *Inst = cast(VPV->getUnderlyingValue()); VPRecipeBase *NewRecipe = nullptr; if (auto *PhiR = dyn_cast(&Ingredient)) { auto *Phi = cast(PhiR->getUnderlyingValue()); NewRecipe = new VPWidenPHIRecipe(PhiR->operands(), PhiR->getDebugLoc(), Phi->getName()); } else if (auto *VPI = dyn_cast(&Ingredient)) { assert(!isa(Inst) && "phis should be handled above"); // Create VPWidenMemoryRecipe for loads and stores. if (LoadInst *Load = dyn_cast(Inst)) { NewRecipe = new VPWidenLoadRecipe( *Load, Ingredient.getOperand(0), nullptr /*Mask*/, false /*Consecutive*/, *VPI, Ingredient.getDebugLoc()); } else if (StoreInst *Store = dyn_cast(Inst)) { NewRecipe = new VPWidenStoreRecipe( *Store, Ingredient.getOperand(1), Ingredient.getOperand(0), nullptr /*Mask*/, false /*Consecutive*/, *VPI, Ingredient.getDebugLoc()); } else if (GetElementPtrInst *GEP = dyn_cast(Inst)) { NewRecipe = new VPWidenGEPRecipe(GEP, Ingredient.operands(), *VPI, Ingredient.getDebugLoc()); } else if (CallInst *CI = dyn_cast(Inst)) { Intrinsic::ID VectorID = getVectorIntrinsicIDForCall(CI, &TLI); if (VectorID == Intrinsic::not_intrinsic) return false; // The noalias.scope.decl intrinsic declares a noalias scope that // is valid for a single iteration. Emitting it as a single-scalar // replicate would incorrectly extend the scope across multiple // original iterations packed into one vector iteration. // FIXME: If we want to vectorize this loop, then we have to drop // all the associated !alias.scope and !noalias. if (VectorID == Intrinsic::experimental_noalias_scope_decl) return false; // These intrinsics are recognized by getVectorIntrinsicIDForCall // but are not widenable. Emit them as replicate instead of widening. if (VectorID == Intrinsic::assume || VectorID == Intrinsic::lifetime_end || VectorID == Intrinsic::lifetime_start || VectorID == Intrinsic::sideeffect || VectorID == Intrinsic::pseudoprobe) { // If the operand of llvm.assume holds before vectorization, it will // also hold per lane. // llvm.pseudoprobe requires to be duplicated per lane for accurate // sample count. const bool IsSingleScalar = VectorID != Intrinsic::assume && VectorID != Intrinsic::pseudoprobe; NewRecipe = new VPReplicateRecipe(CI, Ingredient.operands(), /*IsSingleScalar=*/IsSingleScalar, /*Mask=*/nullptr, *VPI, *VPI, Ingredient.getDebugLoc()); } else { NewRecipe = new VPWidenIntrinsicRecipe( *CI, VectorID, drop_end(Ingredient.operands()), CI->getType(), VPIRFlags(*CI), *VPI, CI->getDebugLoc()); } } else if (auto *CI = dyn_cast(Inst)) { NewRecipe = new VPWidenCastRecipe( CI->getOpcode(), Ingredient.getOperand(0), CI->getType(), CI, VPIRFlags(*CI), VPIRMetadata(*CI)); } else { NewRecipe = new VPWidenRecipe(*Inst, Ingredient.operands(), *VPI, *VPI, Ingredient.getDebugLoc()); } } else { assert(isa(&Ingredient) && "inductions must be created earlier"); continue; } NewRecipe->insertBefore(&Ingredient); if (NewRecipe->getNumDefinedValues() == 1) VPV->replaceAllUsesWith(NewRecipe->getVPSingleValue()); else assert(NewRecipe->getNumDefinedValues() == 0 && "Only recpies with zero or one defined values expected"); Ingredient.eraseFromParent(); } } return true; } /// Helper for extra no-alias checks via known-safe recipe and SCEV. class SinkStoreInfo { const SmallPtrSetImpl &ExcludeRecipes; VPReplicateRecipe &GroupLeader; PredicatedScalarEvolution &PSE; const Loop &L; VPTypeAnalysis &TypeInfo; // Return true if \p A and \p B are known to not alias for all VFs in the // plan, checked via the distance between the accesses bool isNoAliasViaDistance(VPReplicateRecipe *A, VPReplicateRecipe *B) const { if (A->getOpcode() != Instruction::Store || B->getOpcode() != Instruction::Store) return false; VPValue *AddrA = A->getOperand(1); const SCEV *SCEVA = vputils::getSCEVExprForVPValue(AddrA, PSE, &L); VPValue *AddrB = B->getOperand(1); const SCEV *SCEVB = vputils::getSCEVExprForVPValue(AddrB, PSE, &L); if (isa(SCEVA) || isa(SCEVB)) return false; const APInt *Distance; ScalarEvolution &SE = *PSE.getSE(); if (!match(SE.getMinusSCEV(SCEVA, SCEVB), m_scev_APInt(Distance))) return false; const DataLayout &DL = SE.getDataLayout(); Type *TyA = TypeInfo.inferScalarType(A->getOperand(0)); uint64_t SizeA = DL.getTypeStoreSize(TyA); Type *TyB = TypeInfo.inferScalarType(B->getOperand(0)); uint64_t SizeB = DL.getTypeStoreSize(TyB); // Use the maximum store size to ensure no overlap from either direction. // Currently only handles fixed sizes, as it is only used for // replicating VPReplicateRecipes. uint64_t MaxStoreSize = std::max(SizeA, SizeB); auto VFs = B->getParent()->getPlan()->vectorFactors(); ElementCount MaxVF = *max_element(VFs, ElementCount::isKnownLT); if (MaxVF.isScalable()) return false; return Distance->abs().uge( MaxVF.multiplyCoefficientBy(MaxStoreSize).getFixedValue()); } public: SinkStoreInfo(const SmallPtrSetImpl &ExcludeRecipes, VPReplicateRecipe &GroupLeader, PredicatedScalarEvolution &PSE, const Loop &L, VPTypeAnalysis &TypeInfo) : ExcludeRecipes(ExcludeRecipes), GroupLeader(GroupLeader), PSE(PSE), L(L), TypeInfo(TypeInfo) {} /// Return true if \p R should be skipped during alias checking, either /// because it's in the exclude set or because no-alias can be proven via /// SCEV. bool shouldSkip(VPRecipeBase &R) const { auto *Store = dyn_cast(&R); return ExcludeRecipes.contains(&R) || (Store && isNoAliasViaDistance(Store, &GroupLeader)); } }; /// Check if a memory operation doesn't alias with memory operations using /// scoped noalias metadata, in blocks in the single-successor chain between \p /// FirstBB and \p LastBB. If \p SinkInfo is std::nullopt, only recipes that may /// write to memory are checked (for load hoisting). Otherwise recipes that both /// read and write memory are checked, and SCEV is used to prove no-alias /// between the group leader and other replicate recipes (for store sinking). static bool canHoistOrSinkWithNoAliasCheck(const MemoryLocation &MemLoc, VPBasicBlock *FirstBB, VPBasicBlock *LastBB, std::optional SinkInfo = {}) { bool CheckReads = SinkInfo.has_value(); if (!MemLoc.AATags.Scope) return false; for (VPBasicBlock *VPBB : VPBlockUtils::blocksInSingleSuccessorChainBetween(FirstBB, LastBB)) { for (VPRecipeBase &R : *VPBB) { if (SinkInfo && SinkInfo->shouldSkip(R)) continue; // Skip recipes that don't need checking. if (!R.mayWriteToMemory() && !(CheckReads && R.mayReadFromMemory())) continue; auto Loc = vputils::getMemoryLocation(R); if (!Loc) // Conservatively assume aliasing for memory operations without // location. return false; if (ScopedNoAliasAAResult::alias(*Loc, MemLoc) != AliasResult::NoAlias) return false; } } return true; } /// Collect either replicated Loads or Stores grouped by their address SCEV, in /// a deep-traversal of the vector loop region in \p Plan. template static SmallVector> collectGroupedReplicateMemOps( VPlan &Plan, PredicatedScalarEvolution &PSE, const Loop *L, function_ref FilterFn) { static_assert(Opcode == Instruction::Load || Opcode == Instruction::Store, "Only Load and Store opcodes supported"); constexpr bool IsLoad = (Opcode == Instruction::Load); SmallDenseMap> RecipesByAddress; for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_deep(Plan.getVectorLoopRegion()->getEntry()))) { for (VPRecipeBase &R : *VPBB) { auto *RepR = dyn_cast(&R); if (!RepR || RepR->getOpcode() != Opcode || !FilterFn(RepR)) continue; // For loads, operand 0 is address; for stores, operand 1 is address. VPValue *Addr = RepR->getOperand(IsLoad ? 0 : 1); const SCEV *AddrSCEV = vputils::getSCEVExprForVPValue(Addr, PSE, L); if (!isa(AddrSCEV)) RecipesByAddress[AddrSCEV].push_back(RepR); } } auto Groups = to_vector(RecipesByAddress.values()); VPDominatorTree VPDT(Plan); for (auto &Group : Groups) { // Sort mem ops by dominance order, with earliest (most dominating) first. stable_sort(Group, [&VPDT](VPReplicateRecipe *A, VPReplicateRecipe *B) { return VPDT.properlyDominates(A, B); }); } return Groups; } static bool sinkScalarOperands(VPlan &Plan) { auto Iter = vp_depth_first_deep(Plan.getEntry()); bool ScalarVFOnly = Plan.hasScalarVFOnly(); bool Changed = false; SetVector> WorkList; auto InsertIfValidSinkCandidate = [ScalarVFOnly, &WorkList]( VPBasicBlock *SinkTo, VPValue *Op) { auto *Candidate = dyn_cast_or_null(Op->getDefiningRecipe()); if (!Candidate) return; // We only know how to sink VPReplicateRecipes and VPScalarIVStepsRecipes // for now. if (!isa(Candidate)) return; if (Candidate->getParent() == SinkTo || vputils::cannotHoistOrSinkRecipe(*Candidate, /*Sinking=*/true)) return; if (auto *RepR = dyn_cast(Candidate)) if (!ScalarVFOnly && RepR->isSingleScalar()) return; WorkList.insert({SinkTo, Candidate}); }; // First, collect the operands of all recipes in replicate blocks as seeds for // sinking. for (VPRegionBlock *VPR : VPBlockUtils::blocksOnly(Iter)) { VPBasicBlock *EntryVPBB = VPR->getEntryBasicBlock(); if (!VPR->isReplicator() || EntryVPBB->getSuccessors().size() != 2) continue; VPBasicBlock *VPBB = cast(EntryVPBB->getSuccessors().front()); if (VPBB->getSingleSuccessor() != VPR->getExitingBasicBlock()) continue; for (auto &Recipe : *VPBB) for (VPValue *Op : Recipe.operands()) InsertIfValidSinkCandidate(VPBB, Op); } // Try to sink each replicate or scalar IV steps recipe in the worklist. for (unsigned I = 0; I != WorkList.size(); ++I) { VPBasicBlock *SinkTo; VPSingleDefRecipe *SinkCandidate; std::tie(SinkTo, SinkCandidate) = WorkList[I]; // All recipe users of SinkCandidate must be in the same block SinkTo or all // users outside of SinkTo must only use the first lane of SinkCandidate. In // the latter case, we need to duplicate SinkCandidate. auto UsersOutsideSinkTo = make_filter_range(SinkCandidate->users(), [SinkTo](VPUser *U) { return cast(U)->getParent() != SinkTo; }); if (any_of(UsersOutsideSinkTo, [SinkCandidate](VPUser *U) { return !U->usesFirstLaneOnly(SinkCandidate); })) continue; bool NeedsDuplicating = !UsersOutsideSinkTo.empty(); if (NeedsDuplicating) { if (ScalarVFOnly) continue; VPSingleDefRecipe *Clone; if (auto *SinkCandidateRepR = dyn_cast(SinkCandidate)) { // TODO: Handle converting to uniform recipes as separate transform, // then cloning should be sufficient here. Instruction *I = SinkCandidate->getUnderlyingInstr(); Clone = new VPReplicateRecipe(I, SinkCandidate->operands(), true, nullptr /*Mask*/, *SinkCandidateRepR, *SinkCandidateRepR); // TODO: add ".cloned" suffix to name of Clone's VPValue. } else { Clone = SinkCandidate->clone(); } Clone->insertBefore(SinkCandidate); SinkCandidate->replaceUsesWithIf(Clone, [SinkTo](VPUser &U, unsigned) { return cast(&U)->getParent() != SinkTo; }); } SinkCandidate->moveBefore(*SinkTo, SinkTo->getFirstNonPhi()); for (VPValue *Op : SinkCandidate->operands()) InsertIfValidSinkCandidate(SinkTo, Op); Changed = true; } return Changed; } /// If \p R is a region with a VPBranchOnMaskRecipe in the entry block, return /// the mask. static VPValue *getPredicatedMask(VPRegionBlock *R) { auto *EntryBB = dyn_cast(R->getEntry()); if (!EntryBB || EntryBB->size() != 1 || !isa(EntryBB->begin())) return nullptr; return cast(&*EntryBB->begin())->getOperand(0); } /// If \p R is a triangle region, return the 'then' block of the triangle. static VPBasicBlock *getPredicatedThenBlock(VPRegionBlock *R) { auto *EntryBB = cast(R->getEntry()); if (EntryBB->getNumSuccessors() != 2) return nullptr; auto *Succ0 = dyn_cast(EntryBB->getSuccessors()[0]); auto *Succ1 = dyn_cast(EntryBB->getSuccessors()[1]); if (!Succ0 || !Succ1) return nullptr; if (Succ0->getNumSuccessors() + Succ1->getNumSuccessors() != 1) return nullptr; if (Succ0->getSingleSuccessor() == Succ1) return Succ0; if (Succ1->getSingleSuccessor() == Succ0) return Succ1; return nullptr; } // Merge replicate regions in their successor region, if a replicate region // is connected to a successor replicate region with the same predicate by a // single, empty VPBasicBlock. static bool mergeReplicateRegionsIntoSuccessors(VPlan &Plan) { SmallPtrSet TransformedRegions; // Collect replicate regions followed by an empty block, followed by another // replicate region with matching masks to process front. This is to avoid // iterator invalidation issues while merging regions. SmallVector WorkList; for (VPRegionBlock *Region1 : VPBlockUtils::blocksOnly( vp_depth_first_deep(Plan.getEntry()))) { if (!Region1->isReplicator()) continue; auto *MiddleBasicBlock = dyn_cast_or_null(Region1->getSingleSuccessor()); if (!MiddleBasicBlock || !MiddleBasicBlock->empty()) continue; auto *Region2 = dyn_cast_or_null(MiddleBasicBlock->getSingleSuccessor()); if (!Region2 || !Region2->isReplicator()) continue; VPValue *Mask1 = getPredicatedMask(Region1); VPValue *Mask2 = getPredicatedMask(Region2); if (!Mask1 || Mask1 != Mask2) continue; assert(Mask1 && Mask2 && "both region must have conditions"); WorkList.push_back(Region1); } // Move recipes from Region1 to its successor region, if both are triangles. for (VPRegionBlock *Region1 : WorkList) { if (TransformedRegions.contains(Region1)) continue; auto *MiddleBasicBlock = cast(Region1->getSingleSuccessor()); auto *Region2 = cast(MiddleBasicBlock->getSingleSuccessor()); VPBasicBlock *Then1 = getPredicatedThenBlock(Region1); VPBasicBlock *Then2 = getPredicatedThenBlock(Region2); if (!Then1 || !Then2) continue; // Note: No fusion-preventing memory dependencies are expected in either // region. Such dependencies should be rejected during earlier dependence // checks, which guarantee accesses can be re-ordered for vectorization. // // Move recipes to the successor region. for (VPRecipeBase &ToMove : make_early_inc_range(reverse(*Then1))) ToMove.moveBefore(*Then2, Then2->getFirstNonPhi()); auto *Merge1 = cast(Then1->getSingleSuccessor()); auto *Merge2 = cast(Then2->getSingleSuccessor()); // Move VPPredInstPHIRecipes from the merge block to the successor region's // merge block. Update all users inside the successor region to use the // original values. for (VPRecipeBase &Phi1ToMove : make_early_inc_range(reverse(*Merge1))) { VPValue *PredInst1 = cast(&Phi1ToMove)->getOperand(0); VPValue *Phi1ToMoveV = Phi1ToMove.getVPSingleValue(); Phi1ToMoveV->replaceUsesWithIf(PredInst1, [Then2](VPUser &U, unsigned) { return cast(&U)->getParent() == Then2; }); // Remove phi recipes that are unused after merging the regions. if (Phi1ToMove.getVPSingleValue()->getNumUsers() == 0) { Phi1ToMove.eraseFromParent(); continue; } Phi1ToMove.moveBefore(*Merge2, Merge2->begin()); } // Remove the dead recipes in Region1's entry block. for (VPRecipeBase &R : make_early_inc_range(reverse(*Region1->getEntryBasicBlock()))) R.eraseFromParent(); // Finally, remove the first region. for (VPBlockBase *Pred : make_early_inc_range(Region1->getPredecessors())) { VPBlockUtils::disconnectBlocks(Pred, Region1); VPBlockUtils::connectBlocks(Pred, MiddleBasicBlock); } VPBlockUtils::disconnectBlocks(Region1, MiddleBasicBlock); TransformedRegions.insert(Region1); } return !TransformedRegions.empty(); } static VPRegionBlock *createReplicateRegion(VPReplicateRecipe *PredRecipe, VPRegionBlock *ParentRegion, VPlan &Plan) { Instruction *Instr = PredRecipe->getUnderlyingInstr(); // Build the triangular if-then region. std::string RegionName = (Twine("pred.") + Instr->getOpcodeName()).str(); assert(Instr->getParent() && "Predicated instruction not in any basic block"); auto *BlockInMask = PredRecipe->getMask(); auto *MaskDef = BlockInMask->getDefiningRecipe(); auto *BOMRecipe = new VPBranchOnMaskRecipe( BlockInMask, MaskDef ? MaskDef->getDebugLoc() : DebugLoc::getUnknown()); auto *Entry = Plan.createVPBasicBlock(Twine(RegionName) + ".entry", BOMRecipe); // Replace predicated replicate recipe with a replicate recipe without a // mask but in the replicate region. auto *RecipeWithoutMask = new VPReplicateRecipe( PredRecipe->getUnderlyingInstr(), drop_end(PredRecipe->operands()), PredRecipe->isSingleScalar(), nullptr /*Mask*/, *PredRecipe, *PredRecipe, PredRecipe->getDebugLoc()); auto *Pred = Plan.createVPBasicBlock(Twine(RegionName) + ".if", RecipeWithoutMask); auto *Exiting = Plan.createVPBasicBlock(Twine(RegionName) + ".continue"); VPRegionBlock *Region = Plan.createReplicateRegion(Entry, Exiting, RegionName); // Note: first set Entry as region entry and then connect successors starting // from it in order, to propagate the "parent" of each VPBasicBlock. Region->setParent(ParentRegion); VPBlockUtils::insertTwoBlocksAfter(Pred, Exiting, Entry); VPBlockUtils::connectBlocks(Pred, Exiting); if (PredRecipe->getNumUsers() != 0) { auto *PHIRecipe = new VPPredInstPHIRecipe(RecipeWithoutMask, RecipeWithoutMask->getDebugLoc()); Exiting->appendRecipe(PHIRecipe); PredRecipe->replaceAllUsesWith(PHIRecipe); } PredRecipe->eraseFromParent(); return Region; } static void addReplicateRegions(VPlan &Plan) { SmallVector WorkList; for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_deep(Plan.getEntry()))) { for (VPRecipeBase &R : *VPBB) if (auto *RepR = dyn_cast(&R)) { if (RepR->isPredicated()) WorkList.push_back(RepR); } } unsigned BBNum = 0; for (VPReplicateRecipe *RepR : WorkList) { VPBasicBlock *CurrentBlock = RepR->getParent(); VPBasicBlock *SplitBlock = CurrentBlock->splitAt(RepR->getIterator()); BasicBlock *OrigBB = RepR->getUnderlyingInstr()->getParent(); SplitBlock->setName( OrigBB->hasName() ? OrigBB->getName() + "." + Twine(BBNum++) : ""); // Record predicated instructions for above packing optimizations. VPRegionBlock *Region = createReplicateRegion(RepR, CurrentBlock->getParent(), Plan); VPBlockUtils::insertOnEdge(CurrentBlock, SplitBlock, Region); VPRegionBlock *ParentRegion = Region->getParent(); if (ParentRegion && ParentRegion->getExiting() == CurrentBlock) ParentRegion->setExiting(SplitBlock); } } bool VPlanTransforms::mergeBlocksIntoPredecessors(VPlan &Plan) { SmallVector WorkList; for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_deep(Plan.getEntry()))) { // Don't fold the blocks in the skeleton of the Plan into their single // predecessors for now. // TODO: Remove restriction once more of the skeleton is modeled in VPlan. if (!VPBB->getParent()) continue; auto *PredVPBB = dyn_cast_or_null(VPBB->getSinglePredecessor()); if (!PredVPBB || PredVPBB->getNumSuccessors() != 1 || isa(PredVPBB)) continue; WorkList.push_back(VPBB); } for (VPBasicBlock *VPBB : WorkList) { VPBasicBlock *PredVPBB = cast(VPBB->getSinglePredecessor()); for (VPRecipeBase &R : make_early_inc_range(*VPBB)) R.moveBefore(*PredVPBB, PredVPBB->end()); VPBlockUtils::disconnectBlocks(PredVPBB, VPBB); auto *ParentRegion = VPBB->getParent(); if (ParentRegion && ParentRegion->getExiting() == VPBB) ParentRegion->setExiting(PredVPBB); VPBlockUtils::transferSuccessors(VPBB, PredVPBB); // VPBB is now dead and will be cleaned up when the plan gets destroyed. } return !WorkList.empty(); } void VPlanTransforms::createAndOptimizeReplicateRegions(VPlan &Plan) { // Convert masked VPReplicateRecipes to if-then region blocks. addReplicateRegions(Plan); bool ShouldSimplify = true; while (ShouldSimplify) { ShouldSimplify = sinkScalarOperands(Plan); ShouldSimplify |= mergeReplicateRegionsIntoSuccessors(Plan); ShouldSimplify |= mergeBlocksIntoPredecessors(Plan); } } /// Remove redundant casts of inductions. /// /// Such redundant casts are casts of induction variables that can be ignored, /// because we already proved that the casted phi is equal to the uncasted phi /// in the vectorized loop. There is no need to vectorize the cast - the same /// value can be used for both the phi and casts in the vector loop. static void removeRedundantInductionCasts(VPlan &Plan) { for (auto &Phi : Plan.getVectorLoopRegion()->getEntryBasicBlock()->phis()) { auto *IV = dyn_cast(&Phi); if (!IV || IV->getTruncInst()) continue; // A sequence of IR Casts has potentially been recorded for IV, which // *must be bypassed* when the IV is vectorized, because the vectorized IV // will produce the desired casted value. This sequence forms a def-use // chain and is provided in reverse order, ending with the cast that uses // the IV phi. Search for the recipe of the last cast in the chain and // replace it with the original IV. Note that only the final cast is // expected to have users outside the cast-chain and the dead casts left // over will be cleaned up later. ArrayRef Casts = IV->getInductionDescriptor().getCastInsts(); VPValue *FindMyCast = IV; for (Instruction *IRCast : reverse(Casts)) { VPSingleDefRecipe *FoundUserCast = nullptr; for (auto *U : FindMyCast->users()) { auto *UserCast = dyn_cast(U); if (UserCast && UserCast->getUnderlyingValue() == IRCast) { FoundUserCast = UserCast; break; } } FindMyCast = FoundUserCast; } FindMyCast->replaceAllUsesWith(IV); } } static VPScalarIVStepsRecipe * createScalarIVSteps(VPlan &Plan, InductionDescriptor::InductionKind Kind, Instruction::BinaryOps InductionOpcode, FPMathOperator *FPBinOp, Instruction *TruncI, VPIRValue *StartV, VPValue *Step, DebugLoc DL, VPBuilder &Builder) { VPRegionBlock *LoopRegion = Plan.getVectorLoopRegion(); VPBasicBlock *HeaderVPBB = LoopRegion->getEntryBasicBlock(); VPValue *CanonicalIV = LoopRegion->getCanonicalIV(); VPSingleDefRecipe *BaseIV = Builder.createDerivedIV(Kind, FPBinOp, StartV, CanonicalIV, Step); // Truncate base induction if needed. VPTypeAnalysis TypeInfo(Plan); Type *ResultTy = TypeInfo.inferScalarType(BaseIV); if (TruncI) { Type *TruncTy = TruncI->getType(); assert(ResultTy->getScalarSizeInBits() > TruncTy->getScalarSizeInBits() && "Not truncating."); assert(ResultTy->isIntegerTy() && "Truncation requires an integer type"); BaseIV = Builder.createScalarCast(Instruction::Trunc, BaseIV, TruncTy, DL); ResultTy = TruncTy; } // Truncate step if needed. Type *StepTy = TypeInfo.inferScalarType(Step); if (ResultTy != StepTy) { assert(StepTy->getScalarSizeInBits() > ResultTy->getScalarSizeInBits() && "Not truncating."); assert(StepTy->isIntegerTy() && "Truncation requires an integer type"); auto *VecPreheader = cast(HeaderVPBB->getSingleHierarchicalPredecessor()); VPBuilder::InsertPointGuard Guard(Builder); Builder.setInsertPoint(VecPreheader); Step = Builder.createScalarCast(Instruction::Trunc, Step, ResultTy, DL); } return Builder.createScalarIVSteps(InductionOpcode, FPBinOp, BaseIV, Step, &Plan.getVF(), DL); } /// Try to replace VPWidenCanonicalIVRecipes with a widened canonical IV /// recipe, if it exists. static void removeRedundantCanonicalIVs(VPlan &Plan) { VPRegionBlock *LoopRegion = Plan.getVectorLoopRegion(); VPRegionValue *CanonicalIV = LoopRegion->getCanonicalIV(); auto *WidenNewIV = vputils::findUserOf(CanonicalIV); if (!WidenNewIV) return; VPBasicBlock *HeaderVPBB = LoopRegion->getEntryBasicBlock(); for (VPRecipeBase &Phi : HeaderVPBB->phis()) { auto *WidenOriginalIV = dyn_cast(&Phi); if (!WidenOriginalIV || !WidenOriginalIV->isCanonical()) continue; // Replace WidenNewIV with WidenOriginalIV if WidenOriginalIV provides // everything WidenNewIV's users need. That is, WidenOriginalIV will // generate a vector phi or all users of WidenNewIV demand the first lane // only. if (Plan.hasScalarVFOnly() || !vputils::onlyScalarValuesUsed(WidenOriginalIV) || vputils::onlyFirstLaneUsed(WidenNewIV)) { // We are replacing a wide canonical iv with a suitable wide induction. // This is used to compute header mask, hence all lanes will be used and // we need to drop wrap flags only applying to lanes guranteed to execute // in the original scalar loop. WidenOriginalIV->dropPoisonGeneratingFlags(); WidenNewIV->replaceAllUsesWith(WidenOriginalIV); WidenNewIV->eraseFromParent(); return; } } if (!vputils::onlyFirstLaneUsed(WidenNewIV) && !Plan.hasScalarVFOnly()) { assert(!vputils::onlyScalarValuesUsed(WidenNewIV) && "Lanes other than first lane being used should imply that not just " "scalars are used"); return; } // Replace the wide canonical IV with a scalar-iv-steps over the canonical // IV. Type *CanonicalIVTy = LoopRegion->getCanonicalIVType(); VPBuilder Builder(WidenNewIV); WidenNewIV->replaceAllUsesWith(createScalarIVSteps( Plan, InductionDescriptor::IK_IntInduction, Instruction::Add, nullptr, nullptr, Plan.getZero(CanonicalIVTy), Plan.getConstantInt(CanonicalIVTy, 1), CanonicalIV->getDebugLoc(), Builder)); WidenNewIV->eraseFromParent(); } void VPlanTransforms::replaceWideCanonicalIVWithWideIV( VPlan &Plan, ScalarEvolution &SE, const TargetTransformInfo &TTI, TargetTransformInfo::TargetCostKind CostKind, ElementCount VF, unsigned UF, const SmallPtrSetImpl &ValuesToIgnore) { VPRegionBlock *LoopRegion = Plan.getVectorLoopRegion(); if (!LoopRegion || Plan.hasScalarVFOnly()) return; VPValue *CanonicalIV = LoopRegion->getCanonicalIV(); auto *WideCanIV = vputils::findUserOf(CanonicalIV); if (!WideCanIV || vputils::onlyScalarValuesUsed(WideCanIV)) return; // Introduce a new VPWidenIntOrFpInductionRecipe if profitable. Type *CanIVTy = LoopRegion->getCanonicalIVType(); auto *VecTy = VectorType::get(CanIVTy, VF); InstructionCost BroadcastCost = TTI.getShuffleCost( TargetTransformInfo::SK_Broadcast, VecTy, VecTy, {}, CostKind); InstructionCost PHICost = TTI.getCFInstrCost(Instruction::PHI, CostKind); if (PHICost > BroadcastCost) return; // Bail out if the additional wide induction phi increase the expected spill // cost. VPRegisterUsage UnrolledBase = calculateRegisterUsageForPlan(Plan, VF, TTI, ValuesToIgnore)[0]; for (unsigned &NumUsers : make_second_range(UnrolledBase.MaxLocalUsers)) NumUsers *= UF; unsigned RegClass = TTI.getRegisterClassForType(/*Vector=*/true, VecTy); VPRegisterUsage Projected = UnrolledBase; Projected.MaxLocalUsers[RegClass] += TTI.getRegUsageForType(VecTy); if (Projected.spillCost(TTI, CostKind) > UnrolledBase.spillCost(TTI, CostKind)) return; InductionDescriptor ID = InductionDescriptor::getCanonicalIntInduction(CanIVTy, SE); VPValue *StepV = Plan.getConstantInt(CanIVTy, 1); auto *NewWideIV = new VPWidenIntOrFpInductionRecipe( /*IV=*/nullptr, Plan.getZero(CanIVTy), StepV, &Plan.getVF(), ID, VPIRFlags::WrapFlagsTy(/*HasNUW=*/LoopRegion->hasCanonicalIVNUW(), /*HasNSW=*/false), WideCanIV->getDebugLoc()); VPBasicBlock *Header = LoopRegion->getEntryBasicBlock(); NewWideIV->insertBefore(&*Header->getFirstNonPhi()); WideCanIV->replaceAllUsesWith(NewWideIV); WideCanIV->eraseFromParent(); } /// Returns true if \p R is dead and can be removed. static bool isDeadRecipe(VPRecipeBase &R) { // Do remove conditional assume instructions as their conditions may be // flattened. auto *RepR = dyn_cast(&R); bool IsConditionalAssume = RepR && RepR->isPredicated() && match(RepR, m_Intrinsic()); if (IsConditionalAssume) return true; if (R.mayHaveSideEffects()) return false; // Recipe is dead if no user keeps the recipe alive. return all_of(R.definedValues(), [](VPValue *V) { return V->getNumUsers() == 0; }); } void VPlanTransforms::removeDeadRecipes(VPlan &Plan) { PostOrderTraversal> POT( Plan.getEntry()); for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly(POT)) { // The recipes in the block are processed in reverse order, to catch chains // of dead recipes. for (VPRecipeBase &R : make_early_inc_range(reverse(*VPBB))) { if (isDeadRecipe(R)) { R.eraseFromParent(); continue; } // Check if R is a dead VPPhi <-> update cycle and remove it. VPValue *Start, *Incoming; if (!match(&R, m_VPPhi(m_VPValue(Start), m_VPValue(Incoming)))) continue; auto *PhiR = cast(&R); VPUser *PhiUser = PhiR->getSingleUser(); if (!PhiUser) continue; if (PhiUser != Incoming->getDefiningRecipe() || Incoming->getNumUsers() != 1) continue; PhiR->replaceAllUsesWith(Start); PhiR->eraseFromParent(); Incoming->getDefiningRecipe()->eraseFromParent(); } } } static SmallVector collectUsersRecursively(VPValue *V) { SetVector Users(llvm::from_range, V->users()); for (unsigned I = 0; I != Users.size(); ++I) { VPRecipeBase *Cur = cast(Users[I]); for (VPValue *V : Cur->definedValues()) Users.insert_range(V->users()); } return Users.takeVector(); } /// Scalarize a VPWidenPointerInductionRecipe by replacing it with a PtrAdd /// (IndStart, ScalarIVSteps (0, Step)). This is used when the recipe only /// generates scalar values. static VPValue * scalarizeVPWidenPointerInduction(VPWidenPointerInductionRecipe *PtrIV, VPlan &Plan, VPBuilder &Builder) { const InductionDescriptor &ID = PtrIV->getInductionDescriptor(); VPIRValue *StartV = Plan.getZero(ID.getStep()->getType()); VPValue *StepV = PtrIV->getOperand(1); VPScalarIVStepsRecipe *Steps = createScalarIVSteps( Plan, InductionDescriptor::IK_IntInduction, Instruction::Add, nullptr, nullptr, StartV, StepV, PtrIV->getDebugLoc(), Builder); return Builder.createPtrAdd(PtrIV->getStartValue(), Steps, PtrIV->getDebugLoc(), "next.gep"); } /// Legalize VPWidenPointerInductionRecipe, by replacing it with a PtrAdd /// (IndStart, ScalarIVSteps (0, Step)) if only its scalar values are used, as /// VPWidenPointerInductionRecipe will generate vectors only. If some users /// require vectors while other require scalars, the scalar uses need to extract /// the scalars from the generated vectors (Note that this is different to how /// int/fp inductions are handled). Legalize extract-from-ends using uniform /// VPReplicateRecipe of wide inductions to use regular VPReplicateRecipe, so /// the correct end value is available. Also optimize /// VPWidenIntOrFpInductionRecipe, if any of its users needs scalar values, by /// providing them scalar steps built on the canonical scalar IV and update the /// original IV's users. This is an optional optimization to reduce the needs of /// vector extracts. static void legalizeAndOptimizeInductions(VPlan &Plan) { VPBasicBlock *HeaderVPBB = Plan.getVectorLoopRegion()->getEntryBasicBlock(); bool HasOnlyVectorVFs = !Plan.hasScalarVFOnly(); VPBuilder Builder(HeaderVPBB, HeaderVPBB->getFirstNonPhi()); for (VPRecipeBase &Phi : HeaderVPBB->phis()) { auto *PhiR = dyn_cast(&Phi); if (!PhiR) continue; // Try to narrow wide and replicating recipes to uniform recipes, based on // VPlan analysis. // TODO: Apply to all recipes in the future, to replace legacy uniformity // analysis. auto Users = collectUsersRecursively(PhiR); for (VPUser *U : reverse(Users)) { auto *Def = dyn_cast(U); auto *RepR = dyn_cast(U); // Skip recipes that shouldn't be narrowed. if (!Def || !isa(Def) || Def->getNumUsers() == 0 || !Def->getUnderlyingValue() || (RepR && (RepR->isSingleScalar() || RepR->isPredicated()))) continue; // Skip recipes that may have other lanes than their first used. if (!vputils::isSingleScalar(Def) && !vputils::onlyFirstLaneUsed(Def)) continue; // TODO: Support scalarizing ExtractValue. if (match(Def, m_Binary(m_VPValue(), m_VPValue()))) continue; auto *Clone = new VPReplicateRecipe(Def->getUnderlyingInstr(), Def->operands(), /*IsUniform*/ true, /*Mask*/ nullptr, /*Flags*/ *Def); Clone->insertAfter(Def); Def->replaceAllUsesWith(Clone); } // Replace wide pointer inductions which have only their scalars used by // PtrAdd(IndStart, ScalarIVSteps (0, Step)). if (auto *PtrIV = dyn_cast(&Phi)) { if (!Plan.hasScalarVFOnly() && !PtrIV->onlyScalarsGenerated(Plan.hasScalableVF())) continue; VPValue *PtrAdd = scalarizeVPWidenPointerInduction(PtrIV, Plan, Builder); PtrIV->replaceAllUsesWith(PtrAdd); continue; } // Replace widened induction with scalar steps for users that only use // scalars. auto *WideIV = cast(&Phi); if (HasOnlyVectorVFs && none_of(WideIV->users(), [WideIV](VPUser *U) { return U->usesScalars(WideIV); })) continue; const InductionDescriptor &ID = WideIV->getInductionDescriptor(); VPScalarIVStepsRecipe *Steps = createScalarIVSteps( Plan, ID.getKind(), ID.getInductionOpcode(), dyn_cast_or_null(ID.getInductionBinOp()), WideIV->getTruncInst(), WideIV->getStartValue(), WideIV->getStepValue(), WideIV->getDebugLoc(), Builder); // Update scalar users of IV to use Step instead. if (!HasOnlyVectorVFs) { assert(!Plan.hasScalableVF() && "plans containing a scalar VF cannot also include scalable VFs"); WideIV->replaceAllUsesWith(Steps); } else { bool HasScalableVF = Plan.hasScalableVF(); WideIV->replaceUsesWithIf(Steps, [WideIV, HasScalableVF](VPUser &U, unsigned) { if (HasScalableVF) return U.usesFirstLaneOnly(WideIV); return U.usesScalars(WideIV); }); } } } /// Check if \p VPV is an untruncated wide induction, either before or after the /// increment. If so return the header IV (before the increment), otherwise /// return null. static VPWidenInductionRecipe * getOptimizableIVOf(VPValue *VPV, PredicatedScalarEvolution &PSE) { auto *WideIV = dyn_cast(VPV); if (WideIV) { // VPV itself is a wide induction, separately compute the end value for exit // users if it is not a truncated IV. auto *IntOrFpIV = dyn_cast(WideIV); return (IntOrFpIV && IntOrFpIV->getTruncInst()) ? nullptr : WideIV; } // Check if VPV is an optimizable induction increment. VPRecipeBase *Def = VPV->getDefiningRecipe(); if (!Def || Def->getNumOperands() != 2) return nullptr; WideIV = dyn_cast(Def->getOperand(0)); if (!WideIV) WideIV = dyn_cast(Def->getOperand(1)); if (!WideIV) return nullptr; auto IsWideIVInc = [&]() { auto &ID = WideIV->getInductionDescriptor(); // Check if VPV increments the induction by the induction step. VPValue *IVStep = WideIV->getStepValue(); switch (ID.getInductionOpcode()) { case Instruction::Add: return match(VPV, m_c_Add(m_Specific(WideIV), m_Specific(IVStep))); case Instruction::FAdd: return match(VPV, m_c_FAdd(m_Specific(WideIV), m_Specific(IVStep))); case Instruction::FSub: return match(VPV, m_Binary(m_Specific(WideIV), m_Specific(IVStep))); case Instruction::Sub: { // IVStep will be the negated step of the subtraction. Check if Step == -1 // * IVStep. VPValue *Step; if (!match(VPV, m_Sub(m_VPValue(), m_VPValue(Step)))) return false; const SCEV *IVStepSCEV = vputils::getSCEVExprForVPValue(IVStep, PSE); const SCEV *StepSCEV = vputils::getSCEVExprForVPValue(Step, PSE); ScalarEvolution &SE = *PSE.getSE(); return !isa(IVStepSCEV) && !isa(StepSCEV) && IVStepSCEV == SE.getNegativeSCEV(StepSCEV); } default: return ID.getKind() == InductionDescriptor::IK_PtrInduction && match(VPV, m_GetElementPtr(m_Specific(WideIV), m_Specific(WideIV->getStepValue()))); } llvm_unreachable("should have been covered by switch above"); }; return IsWideIVInc() ? WideIV : nullptr; } /// Attempts to optimize the induction variable exit values for users in the /// early exit block. static VPValue *optimizeEarlyExitInductionUser(VPlan &Plan, VPTypeAnalysis &TypeInfo, VPBlockBase *PredVPBB, VPValue *Op, PredicatedScalarEvolution &PSE) { VPValue *Incoming, *Mask; if (!match(Op, m_ExtractLane(m_FirstActiveLane(m_VPValue(Mask)), m_VPValue(Incoming)))) return nullptr; auto *WideIV = getOptimizableIVOf(Incoming, PSE); if (!WideIV) return nullptr; auto *WideIntOrFp = dyn_cast(WideIV); if (WideIntOrFp && WideIntOrFp->getTruncInst()) return nullptr; // Calculate the final index. VPRegionBlock *LoopRegion = Plan.getVectorLoopRegion(); auto *CanonicalIV = LoopRegion->getCanonicalIV(); Type *CanonicalIVType = LoopRegion->getCanonicalIVType(); VPBuilder B(cast(PredVPBB)); DebugLoc DL = cast(Op)->getDebugLoc(); VPValue *FirstActiveLane = B.createNaryOp(VPInstruction::FirstActiveLane, Mask, DL); Type *FirstActiveLaneType = TypeInfo.inferScalarType(FirstActiveLane); FirstActiveLane = B.createScalarZExtOrTrunc(FirstActiveLane, CanonicalIVType, FirstActiveLaneType, DL); VPValue *EndValue = B.createAdd(CanonicalIV, FirstActiveLane, DL); // `getOptimizableIVOf()` always returns the pre-incremented IV, so if it // changed it means the exit is using the incremented value, so we need to // add the step. if (Incoming != WideIV) { VPValue *One = Plan.getConstantInt(CanonicalIVType, 1); EndValue = B.createAdd(EndValue, One, DL); } if (!WideIntOrFp || !WideIntOrFp->isCanonical()) { const InductionDescriptor &ID = WideIV->getInductionDescriptor(); VPIRValue *Start = WideIV->getStartValue(); VPValue *Step = WideIV->getStepValue(); EndValue = B.createDerivedIV( ID.getKind(), dyn_cast_or_null(ID.getInductionBinOp()), Start, EndValue, Step); } return EndValue; } /// Compute the end value for \p WideIV, unless it is truncated. Creates a /// VPDerivedIVRecipe for non-canonical inductions. static VPValue *tryToComputeEndValueForInduction(VPWidenInductionRecipe *WideIV, VPBuilder &VectorPHBuilder, VPTypeAnalysis &TypeInfo, VPValue *VectorTC) { auto *WideIntOrFp = dyn_cast(WideIV); // Truncated wide inductions resume from the last lane of their vector value // in the last vector iteration which is handled elsewhere. if (WideIntOrFp && WideIntOrFp->getTruncInst()) return nullptr; VPIRValue *Start = WideIV->getStartValue(); VPValue *Step = WideIV->getStepValue(); const InductionDescriptor &ID = WideIV->getInductionDescriptor(); VPValue *EndValue = VectorTC; if (!WideIntOrFp || !WideIntOrFp->isCanonical()) { EndValue = VectorPHBuilder.createDerivedIV( ID.getKind(), dyn_cast_or_null(ID.getInductionBinOp()), Start, VectorTC, Step); } // EndValue is derived from the vector trip count (which has the same type as // the widest induction) and thus may be wider than the induction here. Type *ScalarTypeOfWideIV = TypeInfo.inferScalarType(WideIV); if (ScalarTypeOfWideIV != TypeInfo.inferScalarType(EndValue)) { EndValue = VectorPHBuilder.createScalarCast(Instruction::Trunc, EndValue, ScalarTypeOfWideIV, WideIV->getDebugLoc()); } return EndValue; } /// Attempts to optimize the induction variable exit values for users in the /// exit block coming from the latch in the original scalar loop. static VPValue *optimizeLatchExitInductionUser( VPlan &Plan, VPTypeAnalysis &TypeInfo, VPBlockBase *PredVPBB, VPValue *Op, DenseMap &EndValues, PredicatedScalarEvolution &PSE) { VPValue *Incoming; VPWidenInductionRecipe *WideIV = nullptr; if (match(Op, m_ExtractLastLaneOfLastPart(m_VPValue(Incoming)))) WideIV = getOptimizableIVOf(Incoming, PSE); if (!WideIV) return nullptr; VPValue *EndValue = EndValues.lookup(WideIV); assert(EndValue && "Must have computed the end value up front"); // `getOptimizableIVOf()` always returns the pre-incremented IV, so if it // changed it means the exit is using the incremented value, so we don't // need to subtract the step. if (Incoming != WideIV) return EndValue; // Otherwise, subtract the step from the EndValue. VPBuilder B(cast(PredVPBB)->getTerminator()); VPValue *Step = WideIV->getStepValue(); Type *ScalarTy = TypeInfo.inferScalarType(WideIV); if (ScalarTy->isIntegerTy()) return B.createSub(EndValue, Step, DebugLoc::getUnknown(), "ind.escape"); if (ScalarTy->isPointerTy()) { Type *StepTy = TypeInfo.inferScalarType(Step); auto *Zero = Plan.getZero(StepTy); return B.createPtrAdd(EndValue, B.createSub(Zero, Step), DebugLoc::getUnknown(), "ind.escape"); } if (ScalarTy->isFloatingPointTy()) { const auto &ID = WideIV->getInductionDescriptor(); return B.createNaryOp( ID.getInductionBinOp()->getOpcode() == Instruction::FAdd ? Instruction::FSub : Instruction::FAdd, {EndValue, Step}, {ID.getInductionBinOp()->getFastMathFlags()}); } llvm_unreachable("all possible induction types must be handled"); return nullptr; } void VPlanTransforms::optimizeInductionLiveOutUsers( VPlan &Plan, PredicatedScalarEvolution &PSE, bool FoldTail) { // Compute end values for all inductions. VPTypeAnalysis TypeInfo(Plan); VPRegionBlock *VectorRegion = Plan.getVectorLoopRegion(); auto *VectorPH = cast(VectorRegion->getSinglePredecessor()); VPBuilder VectorPHBuilder(VectorPH, VectorPH->begin()); DenseMap EndValues; VPValue *ResumeTC = FoldTail ? Plan.getTripCount() : &Plan.getVectorTripCount(); for (auto &Phi : VectorRegion->getEntryBasicBlock()->phis()) { auto *WideIV = dyn_cast(&Phi); if (!WideIV) continue; if (VPValue *EndValue = tryToComputeEndValueForInduction( WideIV, VectorPHBuilder, TypeInfo, ResumeTC)) EndValues[WideIV] = EndValue; } VPBasicBlock *MiddleVPBB = Plan.getMiddleBlock(); for (VPRecipeBase &R : make_early_inc_range(*MiddleVPBB)) { VPValue *Op; if (!match(&R, m_ExitingIVValue(m_VPValue(Op)))) continue; auto *WideIV = cast(Op); if (VPValue *EndValue = EndValues.lookup(WideIV)) { R.getVPSingleValue()->replaceAllUsesWith(EndValue); R.eraseFromParent(); } } // Then, optimize exit block users. for (VPIRBasicBlock *ExitVPBB : Plan.getExitBlocks()) { for (VPRecipeBase &R : ExitVPBB->phis()) { auto *ExitIRI = cast(&R); for (auto [Idx, PredVPBB] : enumerate(ExitVPBB->getPredecessors())) { VPValue *Escape = nullptr; if (PredVPBB == MiddleVPBB) Escape = optimizeLatchExitInductionUser(Plan, TypeInfo, PredVPBB, ExitIRI->getOperand(Idx), EndValues, PSE); else Escape = optimizeEarlyExitInductionUser( Plan, TypeInfo, PredVPBB, ExitIRI->getOperand(Idx), PSE); if (Escape) ExitIRI->setOperand(Idx, Escape); } } } } /// Remove redundant EpxandSCEVRecipes in \p Plan's entry block by replacing /// them with already existing recipes expanding the same SCEV expression. static void removeRedundantExpandSCEVRecipes(VPlan &Plan) { DenseMap SCEV2VPV; for (VPRecipeBase &R : make_early_inc_range(*Plan.getEntry()->getEntryBasicBlock())) { auto *ExpR = dyn_cast(&R); if (!ExpR) continue; const auto &[V, Inserted] = SCEV2VPV.try_emplace(ExpR->getSCEV(), ExpR); if (Inserted) continue; ExpR->replaceAllUsesWith(V->second); ExpR->eraseFromParent(); } } static void recursivelyDeleteDeadRecipes(VPValue *V) { SmallVector WorkList; SmallPtrSet Seen; WorkList.push_back(V); while (!WorkList.empty()) { VPValue *Cur = WorkList.pop_back_val(); if (!Seen.insert(Cur).second) continue; VPRecipeBase *R = Cur->getDefiningRecipe(); if (!R) continue; if (!isDeadRecipe(*R)) continue; append_range(WorkList, R->operands()); R->eraseFromParent(); } } /// Get any instruction opcode or intrinsic ID data embedded in recipe \p R. /// Returns an optional pair, where the first element indicates whether it is /// an intrinsic ID. static std::optional> getOpcodeOrIntrinsicID(const VPSingleDefRecipe *R) { return TypeSwitch>>(R) .Case( [](auto *I) { return std::make_pair(false, I->getOpcode()); }) .Case([](const VPWidenIntrinsicRecipe *I) { return std::make_pair(true, I->getVectorIntrinsicID()); }) .Case( [](auto *I) { // For recipes that do not directly map to LLVM IR instructions, // assign opcodes after the last VPInstruction opcode (which is also // after the last IR Instruction opcode), based on the VPRecipeID. return std::make_pair(false, VPInstruction::OpsEnd + 1 + I->getVPRecipeID()); }) .Default([](auto *) { return std::nullopt; }); } /// Try to fold \p R using InstSimplifyFolder. Will succeed and return a /// non-nullptr VPValue for a handled opcode or intrinsic ID if corresponding \p /// Operands are foldable live-ins. static VPIRValue *tryToFoldLiveIns(VPSingleDefRecipe &R, ArrayRef Operands, const DataLayout &DL, VPTypeAnalysis &TypeInfo) { auto OpcodeOrIID = getOpcodeOrIntrinsicID(&R); if (!OpcodeOrIID) return nullptr; SmallVector Ops; for (VPValue *Op : Operands) { if (!match(Op, m_LiveIn())) return nullptr; Value *V = Op->getUnderlyingValue(); if (!V) return nullptr; Ops.push_back(V); } auto FoldToIRValue = [&]() -> Value * { InstSimplifyFolder Folder(DL); if (OpcodeOrIID->first) { if (R.getNumOperands() != 2) return nullptr; unsigned ID = OpcodeOrIID->second; return Folder.FoldBinaryIntrinsic(ID, Ops[0], Ops[1], TypeInfo.inferScalarType(&R)); } unsigned Opcode = OpcodeOrIID->second; if (Instruction::isBinaryOp(Opcode)) return Folder.FoldBinOp(static_cast(Opcode), Ops[0], Ops[1]); if (Instruction::isCast(Opcode)) return Folder.FoldCast(static_cast(Opcode), Ops[0], TypeInfo.inferScalarType(R.getVPSingleValue())); switch (Opcode) { case VPInstruction::LogicalAnd: return Folder.FoldSelect(Ops[0], Ops[1], ConstantInt::getNullValue(Ops[1]->getType())); case VPInstruction::Not: return Folder.FoldBinOp(Instruction::BinaryOps::Xor, Ops[0], Constant::getAllOnesValue(Ops[0]->getType())); case Instruction::Select: return Folder.FoldSelect(Ops[0], Ops[1], Ops[2]); case Instruction::ICmp: case Instruction::FCmp: return Folder.FoldCmp(cast(R).getPredicate(), Ops[0], Ops[1]); case Instruction::GetElementPtr: { auto &RFlags = cast(R); auto *GEP = cast(RFlags.getUnderlyingInstr()); return Folder.FoldGEP(GEP->getSourceElementType(), Ops[0], drop_begin(Ops), RFlags.getGEPNoWrapFlags()); } case VPInstruction::PtrAdd: case VPInstruction::WidePtrAdd: return Folder.FoldGEP(IntegerType::getInt8Ty(TypeInfo.getContext()), Ops[0], Ops[1], cast(R).getGEPNoWrapFlags()); // An extract of a live-in is an extract of a broadcast, so return the // broadcasted element. case Instruction::ExtractElement: assert(!Ops[0]->getType()->isVectorTy() && "Live-ins should be scalar"); return Ops[0]; } return nullptr; }; if (Value *V = FoldToIRValue()) return R.getParent()->getPlan()->getOrAddLiveIn(V); return nullptr; } /// Try to simplify VPSingleDefRecipe \p Def. static void simplifyRecipe(VPSingleDefRecipe *Def, VPTypeAnalysis &TypeInfo) { VPlan *Plan = Def->getParent()->getPlan(); // Simplification of live-in IR values for SingleDef recipes using // InstSimplifyFolder. const DataLayout &DL = Plan->getDataLayout(); if (VPValue *V = tryToFoldLiveIns(*Def, Def->operands(), DL, TypeInfo)) return Def->replaceAllUsesWith(V); // Fold PredPHI LiveIn -> LiveIn. if (auto *PredPHI = dyn_cast(Def)) { VPValue *Op = PredPHI->getOperand(0); if (isa(Op)) PredPHI->replaceAllUsesWith(Op); } VPBuilder Builder(Def); // Avoid replacing VPInstructions with underlying values with new // VPInstructions, as we would fail to create widen/replicate recpes from the // new VPInstructions without an underlying value, and miss out on some // transformations that only apply to widened/replicated recipes later, by // doing so. // TODO: We should also not replace non-VPInstructions like VPWidenRecipe with // VPInstructions without underlying values, as those will get skipped during // cost computation. bool CanCreateNewRecipe = !isa(Def) || !Def->getUnderlyingValue(); VPValue *A; if (match(Def, m_Trunc(m_ZExtOrSExt(m_VPValue(A))))) { Type *TruncTy = TypeInfo.inferScalarType(Def); Type *ATy = TypeInfo.inferScalarType(A); if (TruncTy == ATy) { Def->replaceAllUsesWith(A); } else { // Don't replace a non-widened cast recipe with a widened cast. if (!isa(Def)) return; if (ATy->getScalarSizeInBits() < TruncTy->getScalarSizeInBits()) { unsigned ExtOpcode = match(Def->getOperand(0), m_SExt(m_VPValue())) ? Instruction::SExt : Instruction::ZExt; auto *Ext = Builder.createWidenCast(Instruction::CastOps(ExtOpcode), A, TruncTy); if (auto *UnderlyingExt = Def->getOperand(0)->getUnderlyingValue()) { // UnderlyingExt has distinct return type, used to retain legacy cost. Ext->setUnderlyingValue(UnderlyingExt); } Def->replaceAllUsesWith(Ext); } else if (ATy->getScalarSizeInBits() > TruncTy->getScalarSizeInBits()) { auto *Trunc = Builder.createWidenCast(Instruction::Trunc, A, TruncTy); Def->replaceAllUsesWith(Trunc); } } #ifndef NDEBUG // Verify that the cached type info is for both A and its users is still // accurate by comparing it to freshly computed types. VPTypeAnalysis TypeInfo2(*Plan); assert(TypeInfo.inferScalarType(A) == TypeInfo2.inferScalarType(A)); for (VPUser *U : A->users()) { auto *R = cast(U); for (VPValue *VPV : R->definedValues()) assert(TypeInfo.inferScalarType(VPV) == TypeInfo2.inferScalarType(VPV)); } #endif } // Simplify (X && Y) | (X && !Y) -> X. // TODO: Split up into simpler, modular combines: (X && Y) | (X && Z) into X // && (Y | Z) and (X | !X) into true. This requires queuing newly created // recipes to be visited during simplification. VPValue *X, *Y, *Z; if (match(Def, m_c_BinaryOr(m_LogicalAnd(m_VPValue(X), m_VPValue(Y)), m_LogicalAnd(m_Deferred(X), m_Not(m_Deferred(Y)))))) { Def->replaceAllUsesWith(X); Def->eraseFromParent(); return; } // x | AllOnes -> AllOnes if (match(Def, m_c_BinaryOr(m_VPValue(X), m_AllOnes()))) return Def->replaceAllUsesWith( Plan->getAllOnesValue(TypeInfo.inferScalarType(Def))); // x | 0 -> x if (match(Def, m_c_BinaryOr(m_VPValue(X), m_ZeroInt()))) return Def->replaceAllUsesWith(X); // x | !x -> AllOnes if (match(Def, m_c_BinaryOr(m_VPValue(X), m_Not(m_Deferred(X))))) return Def->replaceAllUsesWith( Plan->getAllOnesValue(TypeInfo.inferScalarType(Def))); // x & 0 -> 0 if (match(Def, m_c_BinaryAnd(m_VPValue(X), m_ZeroInt()))) return Def->replaceAllUsesWith( Plan->getZero(TypeInfo.inferScalarType(Def))); // x & AllOnes -> x if (match(Def, m_c_BinaryAnd(m_VPValue(X), m_AllOnes()))) return Def->replaceAllUsesWith(X); // x && false -> false if (match(Def, m_c_LogicalAnd(m_VPValue(X), m_False()))) return Def->replaceAllUsesWith(Plan->getFalse()); // x && true -> x if (match(Def, m_c_LogicalAnd(m_VPValue(X), m_True()))) return Def->replaceAllUsesWith(X); // (x && y) | (x && z) -> x && (y | z) if (CanCreateNewRecipe && match(Def, m_c_BinaryOr(m_LogicalAnd(m_VPValue(X), m_VPValue(Y)), m_LogicalAnd(m_Deferred(X), m_VPValue(Z)))) && // Simplify only if one of the operands has one use to avoid creating an // extra recipe. (!Def->getOperand(0)->hasMoreThanOneUniqueUser() || !Def->getOperand(1)->hasMoreThanOneUniqueUser())) return Def->replaceAllUsesWith( Builder.createLogicalAnd(X, Builder.createOr(Y, Z))); // x && (x && y) -> x && y if (match(Def, m_LogicalAnd(m_VPValue(X), m_LogicalAnd(m_Deferred(X), m_VPValue())))) return Def->replaceAllUsesWith(Def->getOperand(1)); // x && (y && x) -> x && y if (match(Def, m_LogicalAnd(m_VPValue(X), m_LogicalAnd(m_VPValue(Y), m_Deferred(X))))) return Def->replaceAllUsesWith(Builder.createLogicalAnd(X, Y)); // x && !x -> 0 if (match(Def, m_LogicalAnd(m_VPValue(X), m_Not(m_Deferred(X))))) return Def->replaceAllUsesWith(Plan->getFalse()); if (match(Def, m_Select(m_VPValue(), m_VPValue(X), m_Deferred(X)))) return Def->replaceAllUsesWith(X); // select c, false, true -> not c VPValue *C; if (CanCreateNewRecipe && match(Def, m_Select(m_VPValue(C), m_False(), m_True()))) return Def->replaceAllUsesWith(Builder.createNot(C)); // select !c, x, y -> select c, y, x if (match(Def, m_Select(m_Not(m_VPValue(C)), m_VPValue(X), m_VPValue(Y)))) { Def->setOperand(0, C); Def->setOperand(1, Y); Def->setOperand(2, X); return; } if (match(Def, m_c_Add(m_VPValue(A), m_ZeroInt()))) return Def->replaceAllUsesWith(A); if (match(Def, m_c_Mul(m_VPValue(A), m_One()))) return Def->replaceAllUsesWith(A); if (match(Def, m_c_Mul(m_VPValue(A), m_ZeroInt()))) return Def->replaceAllUsesWith( Plan->getZero(TypeInfo.inferScalarType(Def))); if (CanCreateNewRecipe && match(Def, m_c_Mul(m_VPValue(A), m_AllOnes()))) { // Preserve nsw from the Mul on the new Sub. VPIRFlags::WrapFlagsTy NW = { false, cast(Def)->hasNoSignedWrap()}; return Def->replaceAllUsesWith( Builder.createSub(Plan->getZero(TypeInfo.inferScalarType(A)), A, Def->getDebugLoc(), "", NW)); } if (CanCreateNewRecipe && match(Def, m_c_Add(m_VPValue(X), m_Sub(m_ZeroInt(), m_VPValue(Y))))) { // Preserve nsw from the Add and the Sub, if it's present on both, on the // new Sub. VPIRFlags::WrapFlagsTy NW = { false, cast(Def)->hasNoSignedWrap() && cast(Def->getOperand(Def->getOperand(0) == X)) ->hasNoSignedWrap()}; return Def->replaceAllUsesWith( Builder.createSub(X, Y, Def->getDebugLoc(), "", NW)); } const APInt *APC; if (CanCreateNewRecipe && match(Def, m_c_Mul(m_VPValue(A), m_APInt(APC))) && APC->isPowerOf2()) return Def->replaceAllUsesWith(Builder.createNaryOp( Instruction::Shl, {A, Plan->getConstantInt(APC->getBitWidth(), APC->exactLogBase2())}, *cast(Def), Def->getDebugLoc())); if (CanCreateNewRecipe && match(Def, m_UDiv(m_VPValue(A), m_APInt(APC))) && APC->isPowerOf2()) return Def->replaceAllUsesWith(Builder.createNaryOp( Instruction::LShr, {A, Plan->getConstantInt(APC->getBitWidth(), APC->exactLogBase2())}, *cast(Def), Def->getDebugLoc())); if (match(Def, m_Not(m_VPValue(A)))) { if (match(A, m_Not(m_VPValue(A)))) return Def->replaceAllUsesWith(A); // Try to fold Not into compares by adjusting the predicate in-place. CmpPredicate Pred; if (match(A, m_Cmp(Pred, m_VPValue(), m_VPValue()))) { auto *Cmp = cast(A); if (all_of(Cmp->users(), match_fn(m_CombineOr( m_Not(m_Specific(Cmp)), m_Select(m_Specific(Cmp), m_VPValue(), m_VPValue()))))) { Cmp->setPredicate(CmpInst::getInversePredicate(Pred)); for (VPUser *U : to_vector(Cmp->users())) { auto *R = cast(U); if (match(R, m_Select(m_Specific(Cmp), m_VPValue(X), m_VPValue(Y)))) { // select (cmp pred), x, y -> select (cmp inv_pred), y, x R->setOperand(1, Y); R->setOperand(2, X); } else { // not (cmp pred) -> cmp inv_pred assert(match(R, m_Not(m_Specific(Cmp))) && "Unexpected user"); R->replaceAllUsesWith(Cmp); } } // If Cmp doesn't have a debug location, use the one from the negation, // to preserve the location. if (!Cmp->getDebugLoc() && Def->getDebugLoc()) Cmp->setDebugLoc(Def->getDebugLoc()); } } } // Fold any-of (fcmp uno %A, %A), (fcmp uno %B, %B), ... -> // any-of (fcmp uno %A, %B), ... if (match(Def, m_AnyOf())) { SmallVector NewOps; VPRecipeBase *UnpairedCmp = nullptr; for (VPValue *Op : Def->operands()) { VPValue *X; if (Op->getNumUsers() > 1 || !match(Op, m_SpecificCmp(CmpInst::FCMP_UNO, m_VPValue(X), m_Deferred(X)))) { NewOps.push_back(Op); } else if (!UnpairedCmp) { UnpairedCmp = Op->getDefiningRecipe(); } else { NewOps.push_back(Builder.createFCmp(CmpInst::FCMP_UNO, UnpairedCmp->getOperand(0), X)); UnpairedCmp = nullptr; } } if (UnpairedCmp) NewOps.push_back(UnpairedCmp->getVPSingleValue()); if (NewOps.size() < Def->getNumOperands()) { VPValue *NewAnyOf = Builder.createNaryOp(VPInstruction::AnyOf, NewOps); return Def->replaceAllUsesWith(NewAnyOf); } } // Fold (fcmp uno %X, %X) or (fcmp uno %Y, %Y) -> fcmp uno %X, %Y // This is useful for fmax/fmin without fast-math flags, where we need to // check if any operand is NaN. if (CanCreateNewRecipe && match(Def, m_BinaryOr(m_SpecificCmp(CmpInst::FCMP_UNO, m_VPValue(X), m_Deferred(X)), m_SpecificCmp(CmpInst::FCMP_UNO, m_VPValue(Y), m_Deferred(Y))))) { VPValue *NewCmp = Builder.createFCmp(CmpInst::FCMP_UNO, X, Y); return Def->replaceAllUsesWith(NewCmp); } // Remove redundant DerviedIVs, that is 0 + A * 1 -> A and 0 + 0 * x -> 0. if ((match(Def, m_DerivedIV(m_ZeroInt(), m_VPValue(A), m_One())) || match(Def, m_DerivedIV(m_ZeroInt(), m_ZeroInt(), m_VPValue()))) && TypeInfo.inferScalarType(Def->getOperand(1)) == TypeInfo.inferScalarType(Def)) return Def->replaceAllUsesWith(Def->getOperand(1)); if (match(Def, m_VPInstruction(m_VPValue(X), m_One()))) { Type *WideStepTy = TypeInfo.inferScalarType(Def); if (TypeInfo.inferScalarType(X) != WideStepTy) X = Builder.createWidenCast(Instruction::Trunc, X, WideStepTy); Def->replaceAllUsesWith(X); return; } // For i1 vp.merges produced by AnyOf reductions: // vp.merge true, (or x, y), x, evl -> vp.merge y, true, x, evl if (match(Def, m_Intrinsic(m_True(), m_VPValue(A), m_VPValue(X), m_VPValue())) && match(A, m_c_BinaryOr(m_Specific(X), m_VPValue(Y))) && TypeInfo.inferScalarType(Def)->isIntegerTy(1)) { Def->setOperand(1, Def->getOperand(0)); Def->setOperand(0, Y); return; } // Simplify MaskedCond with no block mask to its single operand. if (match(Def, m_VPInstruction()) && !cast(Def)->isMasked()) return Def->replaceAllUsesWith(Def->getOperand(0)); // Look through ExtractLastLane. if (match(Def, m_ExtractLastLane(m_VPValue(A)))) { if (match(A, m_BuildVector())) { auto *BuildVector = cast(A); Def->replaceAllUsesWith( BuildVector->getOperand(BuildVector->getNumOperands() - 1)); return; } if (Plan->hasScalarVFOnly()) return Def->replaceAllUsesWith(A); } // Look through ExtractPenultimateElement (BuildVector ....). if (match(Def, m_ExtractPenultimateElement(m_BuildVector()))) { auto *BuildVector = cast(Def->getOperand(0)); Def->replaceAllUsesWith( BuildVector->getOperand(BuildVector->getNumOperands() - 2)); return; } uint64_t Idx; if (match(Def, m_ExtractElement(m_BuildVector(), m_ConstantInt(Idx)))) { auto *BuildVector = cast(Def->getOperand(0)); Def->replaceAllUsesWith(BuildVector->getOperand(Idx)); return; } if (match(Def, m_BuildVector()) && all_equal(Def->operands())) { Def->replaceAllUsesWith( Builder.createNaryOp(VPInstruction::Broadcast, Def->getOperand(0))); return; } // Look through broadcast of single-scalar when used as select conditions; in // that case the scalar condition can be used directly. if (match(Def, m_Select(m_Broadcast(m_VPValue(C)), m_VPValue(), m_VPValue()))) { assert(vputils::isSingleScalar(C) && "broadcast operand must be single-scalar"); Def->setOperand(0, C); return; } if (isa(Def)) { if (Def->getNumOperands() == 1) { Def->replaceAllUsesWith(Def->getOperand(0)); return; } if (auto *Phi = dyn_cast(Def)) { if (all_equal(Phi->incoming_values())) Phi->replaceAllUsesWith(Phi->getOperand(0)); } return; } VPIRValue *IRV; if (Def->getNumOperands() == 1 && match(Def, m_ComputeReductionResult(m_VPIRValue(IRV)))) return Def->replaceAllUsesWith(IRV); // Some simplifications can only be applied after unrolling. Perform them // below. if (!Plan->isUnrolled()) return; // After unrolling, extract-lane may be used to extract values from multiple // scalar sources. Only simplify when extracting from a single scalar source. VPValue *LaneToExtract; if (match(Def, m_ExtractLane(m_VPValue(LaneToExtract), m_VPValue(A)))) { // Simplify extract-lane(%lane_num, %scalar_val) -> %scalar_val. if (vputils::isSingleScalar(A)) return Def->replaceAllUsesWith(A); // Simplify extract-lane with single source to extract-element. Def->replaceAllUsesWith(Builder.createNaryOp( Instruction::ExtractElement, {A, LaneToExtract}, Def->getDebugLoc())); return; } // Look for cycles where Def is of the form: // X = phi(0, IVInc) ; used only by IVInc, or by IVInc and Inc = X + Y // IVInc = X + Step ; used by X and Def // Def = IVInc + Y // Fold the increment Y into the phi's start value, replace Def with IVInc, // and if Inc exists, replace it with X. if (match(Def, m_Add(m_Add(m_VPValue(X), m_VPValue()), m_VPValue(Y))) && isa(Y) && match(X, m_VPPhi(m_ZeroInt(), m_Specific(Def->getOperand(0))))) { auto *Phi = cast(X); auto *IVInc = Def->getOperand(0); if (IVInc->getNumUsers() == 2) { // If Phi has a second user (besides IVInc's defining recipe), it must // be Inc = Phi + Y for the fold to apply. auto *Inc = dyn_cast_or_null( vputils::findUserOf(Phi, m_Add(m_Specific(Phi), m_Specific(Y)))); if (Phi->getNumUsers() == 1 || (Phi->getNumUsers() == 2 && Inc)) { Def->replaceAllUsesWith(IVInc); if (Inc) Inc->replaceAllUsesWith(Phi); Phi->setOperand(0, Y); return; } } } // Simplify unrolled VectorPointer without offset, or with zero offset, to // just the pointer operand. if (auto *VPR = dyn_cast(Def)) if (!VPR->getOffset() || match(VPR->getOffset(), m_ZeroInt())) return VPR->replaceAllUsesWith(VPR->getOperand(0)); // VPScalarIVSteps after unrolling can be replaced by their start value, if // the start index is zero and only the first lane 0 is demanded. if (auto *Steps = dyn_cast(Def)) { if (!Steps->getStartIndex() && vputils::onlyFirstLaneUsed(Steps)) { Steps->replaceAllUsesWith(Steps->getOperand(0)); return; } } // Simplify redundant ReductionStartVector recipes after unrolling. VPValue *StartV; if (match(Def, m_VPInstruction( m_VPValue(StartV), m_VPValue(), m_VPValue()))) { Def->replaceUsesWithIf(StartV, [](const VPUser &U, unsigned Idx) { auto *PhiR = dyn_cast(&U); return PhiR && PhiR->isInLoop(); }); return; } if (match(Def, m_ExtractLastLane(m_Broadcast(m_VPValue(A))))) { Def->replaceAllUsesWith(A); return; } if (match(Def, m_ExtractLastLane(m_VPValue(A))) && ((isa(A) && vputils::isSingleScalar(A)) || (isa(A) && cast(A)->isSingleScalar())) && all_of(A->users(), [Def, A](VPUser *U) { return U->usesScalars(A) || Def == U; })) { return Def->replaceAllUsesWith(A); } if (Plan->getConcreteUF() == 1 && match(Def, m_ExtractLastPart(m_VPValue(A)))) return Def->replaceAllUsesWith(A); } void VPlanTransforms::simplifyRecipes(VPlan &Plan) { ReversePostOrderTraversal> RPOT( Plan.getEntry()); VPTypeAnalysis TypeInfo(Plan); for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly(RPOT)) { for (VPRecipeBase &R : make_early_inc_range(*VPBB)) if (auto *Def = dyn_cast(&R)) simplifyRecipe(Def, TypeInfo); } } /// Reassociate (headermask && x) && y -> headermask && (x && y) to allow the /// header mask to be simplified further when tail folding, e.g. in /// optimizeEVLMasks. static void reassociateHeaderMask(VPlan &Plan) { VPValue *HeaderMask = vputils::findHeaderMask(Plan); if (!HeaderMask) return; SmallVector Worklist; for (VPUser *U : HeaderMask->users()) if (match(U, m_LogicalAnd(m_Specific(HeaderMask), m_VPValue()))) append_range(Worklist, cast(U)->users()); while (!Worklist.empty()) { auto *R = dyn_cast(Worklist.pop_back_val()); VPValue *X, *Y; if (!R || !match(R, m_LogicalAnd( m_LogicalAnd(m_Specific(HeaderMask), m_VPValue(X)), m_VPValue(Y)))) continue; append_range(Worklist, R->users()); VPBuilder Builder(R); R->replaceAllUsesWith( Builder.createLogicalAnd(HeaderMask, Builder.createLogicalAnd(X, Y))); } } static void narrowToSingleScalarRecipes(VPlan &Plan) { if (Plan.hasScalarVFOnly()) return; // Try to narrow wide and replicating recipes to single scalar recipes, // based on VPlan analysis. Only process blocks in the loop region for now, // without traversing into nested regions, as recipes in replicate regions // cannot be converted yet. for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_shallow(Plan.getVectorLoopRegion()->getEntry()))) { for (VPRecipeBase &R : make_early_inc_range(reverse(*VPBB))) { if (!isa(&R)) continue; auto *RepR = dyn_cast(&R); if (RepR && (RepR->isSingleScalar() || RepR->isPredicated())) continue; auto *RepOrWidenR = cast(&R); if (RepR && RepR->getOpcode() == Instruction::Store && vputils::isSingleScalar(RepR->getOperand(1))) { auto *Clone = new VPReplicateRecipe( RepOrWidenR->getUnderlyingInstr(), RepOrWidenR->operands(), true /*IsSingleScalar*/, nullptr /*Mask*/, *RepR /*Flags*/, *RepR /*Metadata*/, RepR->getDebugLoc()); Clone->insertBefore(RepOrWidenR); VPBuilder Builder(Clone); VPValue *ExtractOp = Clone->getOperand(0); if (vputils::isUniformAcrossVFsAndUFs(RepR->getOperand(1))) ExtractOp = Builder.createNaryOp(VPInstruction::ExtractLastPart, ExtractOp); ExtractOp = Builder.createNaryOp(VPInstruction::ExtractLastLane, ExtractOp); Clone->setOperand(0, ExtractOp); RepR->eraseFromParent(); continue; } // Skip recipes that aren't single scalars. if (!vputils::isSingleScalar(RepOrWidenR)) continue; // Predicate to check if a user of Op introduces extra broadcasts. auto IntroducesBCastOf = [](const VPValue *Op) { return [Op](const VPUser *U) { if (auto *VPI = dyn_cast(U)) { if (is_contained({VPInstruction::ExtractLastLane, VPInstruction::ExtractLastPart, VPInstruction::ExtractPenultimateElement}, VPI->getOpcode())) return false; } return !U->usesScalars(Op); }; }; if (any_of(RepOrWidenR->users(), IntroducesBCastOf(RepOrWidenR)) && none_of(RepOrWidenR->operands(), [&](VPValue *Op) { if (any_of( make_filter_range(Op->users(), not_equal_to(RepOrWidenR)), IntroducesBCastOf(Op))) return false; // Non-constant live-ins require broadcasts, while constants do not // need explicit broadcasts. auto *IRV = dyn_cast(Op); bool LiveInNeedsBroadcast = IRV && !isa(IRV->getValue()); auto *OpR = dyn_cast(Op); return LiveInNeedsBroadcast || (OpR && OpR->isSingleScalar()); })) continue; auto *Clone = new VPReplicateRecipe( RepOrWidenR->getUnderlyingInstr(), RepOrWidenR->operands(), true /*IsSingleScalar*/, nullptr, *RepOrWidenR); Clone->insertBefore(RepOrWidenR); RepOrWidenR->replaceAllUsesWith(Clone); if (isDeadRecipe(*RepOrWidenR)) RepOrWidenR->eraseFromParent(); } } } /// Try to see if all of \p Blend's masks share a common value logically and'ed /// and remove it from the masks. static void removeCommonBlendMask(VPBlendRecipe *Blend) { if (Blend->isNormalized()) return; VPValue *CommonEdgeMask; if (!match(Blend->getMask(0), m_LogicalAnd(m_VPValue(CommonEdgeMask), m_VPValue()))) return; for (unsigned I = 0; I < Blend->getNumIncomingValues(); I++) if (!match(Blend->getMask(I), m_LogicalAnd(m_Specific(CommonEdgeMask), m_VPValue()))) return; for (unsigned I = 0; I < Blend->getNumIncomingValues(); I++) Blend->setMask(I, Blend->getMask(I)->getDefiningRecipe()->getOperand(1)); } /// Normalize and simplify VPBlendRecipes. Should be run after simplifyRecipes /// to make sure the masks are simplified. static void simplifyBlends(VPlan &Plan) { for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_shallow(Plan.getVectorLoopRegion()->getEntry()))) { for (VPRecipeBase &R : make_early_inc_range(*VPBB)) { auto *Blend = dyn_cast(&R); if (!Blend) continue; removeCommonBlendMask(Blend); // Try to remove redundant blend recipes. SmallPtrSet UniqueValues; if (Blend->isNormalized() || !match(Blend->getMask(0), m_False())) UniqueValues.insert(Blend->getIncomingValue(0)); for (unsigned I = 1; I != Blend->getNumIncomingValues(); ++I) if (!match(Blend->getMask(I), m_False())) UniqueValues.insert(Blend->getIncomingValue(I)); if (UniqueValues.size() == 1) { Blend->replaceAllUsesWith(*UniqueValues.begin()); Blend->eraseFromParent(); continue; } if (Blend->isNormalized()) continue; // Normalize the blend so its first incoming value is used as the initial // value with the others blended into it. unsigned StartIndex = 0; for (unsigned I = 0; I != Blend->getNumIncomingValues(); ++I) { // If a value's mask is used only by the blend then is can be deadcoded. // TODO: Find the most expensive mask that can be deadcoded, or a mask // that's used by multiple blends where it can be removed from them all. VPValue *Mask = Blend->getMask(I); if (Mask->getNumUsers() == 1 && !match(Mask, m_False())) { StartIndex = I; break; } } SmallVector OperandsWithMask; OperandsWithMask.push_back(Blend->getIncomingValue(StartIndex)); for (unsigned I = 0; I != Blend->getNumIncomingValues(); ++I) { if (I == StartIndex) continue; OperandsWithMask.push_back(Blend->getIncomingValue(I)); OperandsWithMask.push_back(Blend->getMask(I)); } auto *NewBlend = new VPBlendRecipe(cast_or_null(Blend->getUnderlyingValue()), OperandsWithMask, *Blend, Blend->getDebugLoc()); NewBlend->insertBefore(&R); VPValue *DeadMask = Blend->getMask(StartIndex); Blend->replaceAllUsesWith(NewBlend); Blend->eraseFromParent(); recursivelyDeleteDeadRecipes(DeadMask); /// Simplify BLEND %a, %b, Not(%mask) -> BLEND %b, %a, %mask. VPValue *NewMask; if (NewBlend->getNumOperands() == 3 && match(NewBlend->getMask(1), m_Not(m_VPValue(NewMask)))) { VPValue *Inc0 = NewBlend->getOperand(0); VPValue *Inc1 = NewBlend->getOperand(1); VPValue *OldMask = NewBlend->getOperand(2); NewBlend->setOperand(0, Inc1); NewBlend->setOperand(1, Inc0); NewBlend->setOperand(2, NewMask); if (OldMask->getNumUsers() == 0) cast(OldMask)->eraseFromParent(); } } } } /// Optimize the width of vector induction variables in \p Plan based on a known /// constant Trip Count, \p BestVF and \p BestUF. static bool optimizeVectorInductionWidthForTCAndVFUF(VPlan &Plan, ElementCount BestVF, unsigned BestUF) { // Only proceed if we have not completely removed the vector region. if (!Plan.getVectorLoopRegion()) return false; const APInt *TC; if (!BestVF.isFixed() || !match(Plan.getTripCount(), m_APInt(TC))) return false; // Calculate the minimum power-of-2 bit width that can fit the known TC, VF // and UF. Returns at least 8. auto ComputeBitWidth = [](APInt TC, uint64_t Align) { APInt AlignedTC = Align * APIntOps::RoundingUDiv(TC, APInt(TC.getBitWidth(), Align), APInt::Rounding::UP); APInt MaxVal = AlignedTC - 1; return std::max(PowerOf2Ceil(MaxVal.getActiveBits()), 8); }; unsigned NewBitWidth = ComputeBitWidth(*TC, BestVF.getKnownMinValue() * BestUF); LLVMContext &Ctx = Plan.getContext(); auto *NewIVTy = IntegerType::get(Ctx, NewBitWidth); bool MadeChange = false; VPBasicBlock *HeaderVPBB = Plan.getVectorLoopRegion()->getEntryBasicBlock(); for (VPRecipeBase &Phi : HeaderVPBB->phis()) { auto *WideIV = dyn_cast(&Phi); // Currently only handle canonical IVs as it is trivial to replace the start // and stop values, and we currently only perform the optimization when the // IV has a single use. if (!WideIV || !WideIV->isCanonical() || WideIV->hasMoreThanOneUniqueUser() || NewIVTy == WideIV->getScalarType()) continue; // Currently only handle cases where the single user is a header-mask // comparison with the backedge-taken-count. VPUser *SingleUser = WideIV->getSingleUser(); if (!SingleUser || !match(SingleUser, m_ICmp(m_Specific(WideIV), m_Broadcast(m_Specific(Plan.getBackedgeTakenCount()))))) continue; // Update IV operands and comparison bound to use new narrower type. auto *NewStart = Plan.getZero(NewIVTy); WideIV->setStartValue(NewStart); auto *NewStep = Plan.getConstantInt(NewIVTy, 1); WideIV->setStepValue(NewStep); auto *NewBTC = new VPWidenCastRecipe( Instruction::Trunc, Plan.getOrCreateBackedgeTakenCount(), NewIVTy, nullptr, VPIRFlags::getDefaultFlags(Instruction::Trunc)); Plan.getVectorPreheader()->appendRecipe(NewBTC); auto *Cmp = cast(WideIV->getSingleUser()); Cmp->setOperand(1, NewBTC); MadeChange = true; } return MadeChange; } /// Return true if \p Cond is known to be true for given \p BestVF and \p /// BestUF. static bool isConditionTrueViaVFAndUF(VPValue *Cond, VPlan &Plan, ElementCount BestVF, unsigned BestUF, PredicatedScalarEvolution &PSE) { if (match(Cond, m_BinaryOr(m_VPValue(), m_VPValue()))) return any_of(Cond->getDefiningRecipe()->operands(), [&Plan, BestVF, BestUF, &PSE](VPValue *C) { return isConditionTrueViaVFAndUF(C, Plan, BestVF, BestUF, PSE); }); auto *CanIV = Plan.getVectorLoopRegion()->getCanonicalIV(); if (!match(Cond, m_SpecificICmp( CmpInst::ICMP_EQ, m_c_Add(m_Specific(CanIV), m_Specific(&Plan.getVFxUF())), m_Specific(&Plan.getVectorTripCount())))) return false; // The compare checks CanIV + VFxUF == vector trip count. The vector trip // count is not conveniently available as SCEV so far, so we compare directly // against the original trip count. This is stricter than necessary, as we // will only return true if the trip count == vector trip count. const SCEV *VectorTripCount = vputils::getSCEVExprForVPValue(&Plan.getVectorTripCount(), PSE); if (isa(VectorTripCount)) VectorTripCount = vputils::getSCEVExprForVPValue(Plan.getTripCount(), PSE); assert(!isa(VectorTripCount) && "Trip count SCEV must be computable"); ScalarEvolution &SE = *PSE.getSE(); ElementCount NumElements = BestVF.multiplyCoefficientBy(BestUF); const SCEV *C = SE.getElementCount(VectorTripCount->getType(), NumElements); return SE.isKnownPredicate(CmpInst::ICMP_EQ, VectorTripCount, C); } /// Try to replace multiple active lane masks used for control flow with /// a single, wide active lane mask instruction followed by multiple /// extract subvector intrinsics. This applies to the active lane mask /// instructions both in the loop and in the preheader. /// Incoming values of all ActiveLaneMaskPHIs are updated to use the /// new extracts from the first active lane mask, which has it's last /// operand (multiplier) set to UF. static bool tryToReplaceALMWithWideALM(VPlan &Plan, ElementCount VF, unsigned UF) { if (!EnableWideActiveLaneMask || !VF.isVector() || UF == 1) return false; VPRegionBlock *VectorRegion = Plan.getVectorLoopRegion(); VPBasicBlock *ExitingVPBB = VectorRegion->getExitingBasicBlock(); auto *Term = &ExitingVPBB->back(); using namespace llvm::VPlanPatternMatch; if (!match(Term, m_BranchOnCond(m_Not(m_ActiveLaneMask( m_VPValue(), m_VPValue(), m_VPValue()))))) return false; auto *Header = cast(VectorRegion->getEntry()); LLVMContext &Ctx = Plan.getContext(); auto ExtractFromALM = [&](VPInstruction *ALM, SmallVectorImpl &Extracts) { DebugLoc DL = ALM->getDebugLoc(); for (unsigned Part = 0; Part < UF; ++Part) { SmallVector Ops; Ops.append({ALM, Plan.getConstantInt(64, VF.getKnownMinValue() * Part)}); auto *Ext = new VPWidenIntrinsicRecipe(Intrinsic::vector_extract, Ops, IntegerType::getInt1Ty(Ctx), {}, {}, DL); Extracts[Part] = Ext; Ext->insertAfter(ALM); } }; // Create a list of each active lane mask phi, ordered by unroll part. SmallVector Phis(UF, nullptr); for (VPRecipeBase &R : Header->phis()) { auto *Phi = dyn_cast(&R); if (!Phi) continue; VPValue *Index = nullptr; match(Phi->getBackedgeValue(), m_ActiveLaneMask(m_VPValue(Index), m_VPValue(), m_VPValue())); assert(Index && "Expected index from ActiveLaneMask instruction"); uint64_t Part; if (match(Index, m_VPInstruction( m_VPValue(), m_Mul(m_VPValue(), m_ConstantInt(Part))))) Phis[Part] = Phi; else { // Anything other than a CanonicalIVIncrementForPart is part 0 assert(!match( Index, m_VPInstruction())); Phis[0] = Phi; } } assert(all_of(Phis, not_equal_to(nullptr)) && "Expected one VPActiveLaneMaskPHIRecipe for each unroll part"); auto *EntryALM = cast(Phis[0]->getStartValue()); auto *LoopALM = cast(Phis[0]->getBackedgeValue()); assert((EntryALM->getOpcode() == VPInstruction::ActiveLaneMask && LoopALM->getOpcode() == VPInstruction::ActiveLaneMask) && "Expected incoming values of Phi to be ActiveLaneMasks"); // When using wide lane masks, the return type of the get.active.lane.mask // intrinsic is VF x UF (last operand). VPValue *ALMMultiplier = Plan.getConstantInt(64, UF); EntryALM->setOperand(2, ALMMultiplier); LoopALM->setOperand(2, ALMMultiplier); // Create UF x extract vectors and insert into preheader. SmallVector EntryExtracts(UF); ExtractFromALM(EntryALM, EntryExtracts); // Create UF x extract vectors and insert before the loop compare & branch, // updating the compare to use the first extract. SmallVector LoopExtracts(UF); ExtractFromALM(LoopALM, LoopExtracts); VPInstruction *Not = cast(Term->getOperand(0)); Not->setOperand(0, LoopExtracts[0]); // Update the incoming values of active lane mask phis. for (unsigned Part = 0; Part < UF; ++Part) { Phis[Part]->setStartValue(EntryExtracts[Part]); Phis[Part]->setBackedgeValue(LoopExtracts[Part]); } return true; } /// Try to simplify the branch condition of \p Plan. This may restrict the /// resulting plan to \p BestVF and \p BestUF. static bool simplifyBranchConditionForVFAndUF(VPlan &Plan, ElementCount BestVF, unsigned BestUF, PredicatedScalarEvolution &PSE) { VPRegionBlock *VectorRegion = Plan.getVectorLoopRegion(); VPBasicBlock *ExitingVPBB = VectorRegion->getExitingBasicBlock(); auto *Term = &ExitingVPBB->back(); VPValue *Cond; auto m_CanIVInc = m_Add(m_VPValue(), m_Specific(&Plan.getVFxUF())); // Check if the branch condition compares the canonical IV increment (for main // loop), or the canonical IV increment plus an offset (for epilog loop). if (match(Term, m_BranchOnCount( m_CombineOr(m_CanIVInc, m_c_Add(m_CanIVInc, m_LiveIn())), m_VPValue())) || match(Term, m_BranchOnCond(m_Not(m_ActiveLaneMask( m_VPValue(), m_VPValue(), m_VPValue()))))) { // Try to simplify the branch condition if VectorTC <= VF * UF when the // latch terminator is BranchOnCount or BranchOnCond(Not(ActiveLaneMask)). const SCEV *VectorTripCount = vputils::getSCEVExprForVPValue(&Plan.getVectorTripCount(), PSE); if (isa(VectorTripCount)) VectorTripCount = vputils::getSCEVExprForVPValue(Plan.getTripCount(), PSE); assert(!isa(VectorTripCount) && "Trip count SCEV must be computable"); ScalarEvolution &SE = *PSE.getSE(); ElementCount NumElements = BestVF.multiplyCoefficientBy(BestUF); const SCEV *C = SE.getElementCount(VectorTripCount->getType(), NumElements); if (!SE.isKnownPredicate(CmpInst::ICMP_ULE, VectorTripCount, C)) return false; } else if (match(Term, m_BranchOnCond(m_VPValue(Cond))) || match(Term, m_BranchOnTwoConds(m_VPValue(), m_VPValue(Cond)))) { // For BranchOnCond, check if we can prove the condition to be true using VF // and UF. if (!isConditionTrueViaVFAndUF(Cond, Plan, BestVF, BestUF, PSE)) return false; } else { return false; } // The vector loop region only executes once. Convert terminator of the // exiting block to exit in the first iteration. if (match(Term, m_BranchOnTwoConds())) { Term->setOperand(1, Plan.getTrue()); return true; } auto *BOC = new VPInstruction(VPInstruction::BranchOnCond, Plan.getTrue(), {}, {}, Term->getDebugLoc()); ExitingVPBB->appendRecipe(BOC); Term->eraseFromParent(); return true; } /// From the definition of llvm.experimental.get.vector.length, /// VPInstruction::ExplicitVectorLength(%AVL) = %AVL when %AVL <= VF. bool VPlanTransforms::simplifyKnownEVL(VPlan &Plan, ElementCount VF, PredicatedScalarEvolution &PSE) { for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_deep(Plan.getEntry()))) { for (VPRecipeBase &R : *VPBB) { VPValue *AVL; if (!match(&R, m_EVL(m_VPValue(AVL)))) continue; const SCEV *AVLSCEV = vputils::getSCEVExprForVPValue(AVL, PSE); if (isa(AVLSCEV)) continue; ScalarEvolution &SE = *PSE.getSE(); const SCEV *VFSCEV = SE.getElementCount(AVLSCEV->getType(), VF); if (!SE.isKnownPredicate(CmpInst::ICMP_ULE, AVLSCEV, VFSCEV)) continue; VPValue *Trunc = VPBuilder(&R).createScalarZExtOrTrunc( AVL, Type::getInt32Ty(Plan.getContext()), AVLSCEV->getType(), R.getDebugLoc()); if (Trunc != AVL) { auto *TruncR = cast(Trunc); const DataLayout &DL = Plan.getDataLayout(); VPTypeAnalysis TypeInfo(Plan); if (VPValue *Folded = tryToFoldLiveIns(*TruncR, TruncR->operands(), DL, TypeInfo)) Trunc = Folded; } R.getVPSingleValue()->replaceAllUsesWith(Trunc); return true; } } return false; } void VPlanTransforms::optimizeForVFAndUF(VPlan &Plan, ElementCount BestVF, unsigned BestUF, PredicatedScalarEvolution &PSE) { assert(Plan.hasVF(BestVF) && "BestVF is not available in Plan"); assert(Plan.hasUF(BestUF) && "BestUF is not available in Plan"); bool MadeChange = tryToReplaceALMWithWideALM(Plan, BestVF, BestUF); MadeChange |= simplifyBranchConditionForVFAndUF(Plan, BestVF, BestUF, PSE); MadeChange |= optimizeVectorInductionWidthForTCAndVFUF(Plan, BestVF, BestUF); if (MadeChange) { Plan.setVF(BestVF); assert(Plan.getConcreteUF() == BestUF && "BestUF must match the Plan's UF"); } } void VPlanTransforms::clearReductionWrapFlags(VPlan &Plan) { for (VPRecipeBase &R : Plan.getVectorLoopRegion()->getEntryBasicBlock()->phis()) { auto *PhiR = dyn_cast(&R); if (!PhiR) continue; RecurKind RK = PhiR->getRecurrenceKind(); if (RK != RecurKind::Add && RK != RecurKind::Mul && RK != RecurKind::Sub && RK != RecurKind::AddChainWithSubs) continue; for (VPUser *U : collectUsersRecursively(PhiR)) if (auto *RecWithFlags = dyn_cast(U)) { RecWithFlags->dropPoisonGeneratingFlags(); } } } namespace { struct VPCSEDenseMapInfo : public DenseMapInfo { static bool isSentinel(const VPSingleDefRecipe *Def) { return Def == getEmptyKey() || Def == getTombstoneKey(); } /// If recipe \p R will lower to a GEP with a non-i8 source element type, /// return that source element type. static Type *getGEPSourceElementType(const VPSingleDefRecipe *R) { // All VPInstructions that lower to GEPs must have the i8 source element // type (as they are PtrAdds), so we omit it. return TypeSwitch(R) .Case([](const VPReplicateRecipe *I) -> Type * { if (auto *GEP = dyn_cast(I->getUnderlyingValue())) return GEP->getSourceElementType(); return nullptr; }) .Case( [](auto *I) { return I->getSourceElementType(); }) .Default([](auto *) { return nullptr; }); } /// Returns true if recipe \p Def can be safely handed for CSE. static bool canHandle(const VPSingleDefRecipe *Def) { // We can extend the list of handled recipes in the future, // provided we account for the data embedded in them while checking for // equality or hashing. auto C = getOpcodeOrIntrinsicID(Def); // The issue with (Insert|Extract)Value is that the index of the // insert/extract is not a proper operand in LLVM IR, and hence also not in // VPlan. if (!C || (!C->first && (C->second == Instruction::InsertValue || C->second == Instruction::ExtractValue))) return false; // During CSE, we can only handle recipes that don't read from memory: if // they read from memory, there could be an intervening write to memory // before the next instance is CSE'd, leading to an incorrect result. return !Def->mayReadFromMemory(); } /// Hash the underlying data of \p Def. static unsigned getHashValue(const VPSingleDefRecipe *Def) { const VPlan *Plan = Def->getParent()->getPlan(); VPTypeAnalysis TypeInfo(*Plan); hash_code Result = hash_combine( Def->getVPRecipeID(), getOpcodeOrIntrinsicID(Def), getGEPSourceElementType(Def), TypeInfo.inferScalarType(Def), vputils::isSingleScalar(Def), hash_combine_range(Def->operands())); if (auto *RFlags = dyn_cast(Def)) if (RFlags->hasPredicate()) return hash_combine(Result, RFlags->getPredicate()); if (auto *SIVSteps = dyn_cast(Def)) return hash_combine(Result, SIVSteps->getInductionOpcode()); return Result; } /// Check equality of underlying data of \p L and \p R. static bool isEqual(const VPSingleDefRecipe *L, const VPSingleDefRecipe *R) { if (isSentinel(L) || isSentinel(R)) return L == R; if (L->getVPRecipeID() != R->getVPRecipeID() || getOpcodeOrIntrinsicID(L) != getOpcodeOrIntrinsicID(R) || getGEPSourceElementType(L) != getGEPSourceElementType(R) || vputils::isSingleScalar(L) != vputils::isSingleScalar(R) || !equal(L->operands(), R->operands())) return false; assert(getOpcodeOrIntrinsicID(L) && getOpcodeOrIntrinsicID(R) && "must have valid opcode info for both recipes"); if (auto *LFlags = dyn_cast(L)) if (LFlags->hasPredicate() && LFlags->getPredicate() != cast(R)->getPredicate()) return false; if (auto *LSIV = dyn_cast(L)) if (LSIV->getInductionOpcode() != cast(R)->getInductionOpcode()) return false; // Recipes in replicate regions implicitly depend on predicate. If either // recipe is in a replicate region, only consider them equal if both have // the same parent. const VPRegionBlock *RegionL = L->getRegion(); const VPRegionBlock *RegionR = R->getRegion(); if (((RegionL && RegionL->isReplicator()) || (RegionR && RegionR->isReplicator())) && L->getParent() != R->getParent()) return false; const VPlan *Plan = L->getParent()->getPlan(); VPTypeAnalysis TypeInfo(*Plan); return TypeInfo.inferScalarType(L) == TypeInfo.inferScalarType(R); } }; } // end anonymous namespace /// Perform a common-subexpression-elimination of VPSingleDefRecipes on the \p /// Plan. void VPlanTransforms::cse(VPlan &Plan) { VPDominatorTree VPDT(Plan); DenseMap CSEMap; ReversePostOrderTraversal> RPOT( Plan.getEntry()); for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly(RPOT)) { for (VPRecipeBase &R : *VPBB) { auto *Def = dyn_cast(&R); if (!Def || !VPCSEDenseMapInfo::canHandle(Def)) continue; if (VPSingleDefRecipe *V = CSEMap.lookup(Def)) { // V must dominate Def for a valid replacement. if (!VPDT.dominates(V->getParent(), VPBB)) continue; // Only keep flags present on both V and Def. if (auto *RFlags = dyn_cast(V)) RFlags->intersectFlags(*cast(Def)); Def->replaceAllUsesWith(V); continue; } CSEMap[Def] = Def; } } } /// Move loop-invariant recipes out of the vector loop region in \p Plan. static void licm(VPlan &Plan) { VPBasicBlock *Preheader = Plan.getVectorPreheader(); // Hoist any loop invariant recipes from the vector loop region to the // preheader. Preform a shallow traversal of the vector loop region, to // exclude recipes in replicate regions. Since the top-level blocks in the // vector loop region are guaranteed to execute if the vector pre-header is, // we don't need to check speculation safety. VPRegionBlock *LoopRegion = Plan.getVectorLoopRegion(); assert(Preheader->getSingleSuccessor() == LoopRegion && "Expected vector prehader's successor to be the vector loop region"); for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_shallow(LoopRegion->getEntry()))) { for (VPRecipeBase &R : make_early_inc_range(*VPBB)) { if (vputils::cannotHoistOrSinkRecipe(R)) continue; if (any_of(R.operands(), [](VPValue *Op) { return !Op->isDefinedOutsideLoopRegions(); })) continue; R.moveBefore(*Preheader, Preheader->end()); } } #ifndef NDEBUG VPDominatorTree VPDT(Plan); #endif // Sink recipes with no users inside the vector loop region if all users are // in the same exit block of the region. // TODO: Extend to sink recipes from inner loops. PostOrderTraversal> POT( LoopRegion->getEntry()); for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly(POT)) { for (VPRecipeBase &R : make_early_inc_range(reverse(*VPBB))) { if (vputils::cannotHoistOrSinkRecipe(R, /*Sinking=*/true)) continue; if (auto *RepR = dyn_cast(&R)) { assert(!RepR->isPredicated() && "Expected prior transformation of predicated replicates to " "replicate regions"); // narrowToSingleScalarRecipes should have already maximally narrowed // replicates to single-scalar replicates. // TODO: When unrolling, replicateByVF doesn't handle sunk // non-single-scalar replicates correctly. if (!RepR->isSingleScalar()) continue; } // TODO: Use R.definedValues() instead of casting to VPSingleDefRecipe to // support recipes with multiple defined values (e.g., interleaved loads). auto *Def = cast(&R); // Cannot sink the recipe if the user is defined in a loop region or a // non-successor of the vector loop region. Cannot sink if user is a phi // either. VPBasicBlock *SinkBB = nullptr; if (any_of(Def->users(), [&SinkBB, &LoopRegion](VPUser *U) { auto *UserR = cast(U); VPBasicBlock *Parent = UserR->getParent(); // TODO: Support sinking when users are in multiple blocks. if (SinkBB && SinkBB != Parent) return true; SinkBB = Parent; // TODO: If the user is a PHI node, we should check the block of // incoming value. Support PHI node users if needed. return UserR->isPhi() || Parent->getEnclosingLoopRegion() || Parent->getSinglePredecessor() != LoopRegion; })) continue; if (!SinkBB) SinkBB = cast(LoopRegion->getSingleSuccessor()); // TODO: This will need to be a check instead of a assert after // conditional branches in vectorized loops are supported. assert(VPDT.properlyDominates(VPBB, SinkBB) && "Defining block must dominate sink block"); // TODO: Clone the recipe if users are on multiple exit paths, instead of // just moving. Def->moveBefore(*SinkBB, SinkBB->getFirstNonPhi()); } } } void VPlanTransforms::truncateToMinimalBitwidths( VPlan &Plan, const MapVector &MinBWs) { if (Plan.hasScalarVFOnly()) return; // Keep track of created truncates, so they can be re-used. Note that we // cannot use RAUW after creating a new truncate, as this would could make // other uses have different types for their operands, making them invalidly // typed. DenseMap ProcessedTruncs; VPTypeAnalysis TypeInfo(Plan); VPBasicBlock *PH = Plan.getVectorPreheader(); for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_deep(Plan.getVectorLoopRegion()))) { for (VPRecipeBase &R : make_early_inc_range(*VPBB)) { if (!isa(&R)) continue; VPValue *ResultVPV = R.getVPSingleValue(); auto *UI = cast_or_null(ResultVPV->getUnderlyingValue()); unsigned NewResSizeInBits = MinBWs.lookup(UI); if (!NewResSizeInBits) continue; // If the value wasn't vectorized, we must maintain the original scalar // type. Skip those here, after incrementing NumProcessedRecipes. Also // skip casts which do not need to be handled explicitly here, as // redundant casts will be removed during recipe simplification. if (isa(&R)) continue; Type *OldResTy = TypeInfo.inferScalarType(ResultVPV); unsigned OldResSizeInBits = OldResTy->getScalarSizeInBits(); assert(OldResTy->isIntegerTy() && "only integer types supported"); (void)OldResSizeInBits; auto *NewResTy = IntegerType::get(Plan.getContext(), NewResSizeInBits); // Any wrapping introduced by shrinking this operation shouldn't be // considered undefined behavior. So, we can't unconditionally copy // arithmetic wrapping flags to VPW. if (auto *VPW = dyn_cast(&R)) VPW->dropPoisonGeneratingFlags(); if (OldResSizeInBits != NewResSizeInBits && !match(&R, m_ICmp(m_VPValue(), m_VPValue()))) { // Extend result to original width. auto *Ext = new VPWidenCastRecipe( Instruction::ZExt, ResultVPV, OldResTy, nullptr, VPIRFlags::getDefaultFlags(Instruction::ZExt)); Ext->insertAfter(&R); ResultVPV->replaceAllUsesWith(Ext); Ext->setOperand(0, ResultVPV); assert(OldResSizeInBits > NewResSizeInBits && "Nothing to shrink?"); } else { assert(match(&R, m_ICmp(m_VPValue(), m_VPValue())) && "Only ICmps should not need extending the result."); } assert(!isa(&R) && "stores cannot be narrowed"); if (isa(&R)) continue; // Shrink operands by introducing truncates as needed. unsigned StartIdx = match(&R, m_Select(m_VPValue(), m_VPValue(), m_VPValue())) ? 1 : 0; for (unsigned Idx = StartIdx; Idx != R.getNumOperands(); ++Idx) { auto *Op = R.getOperand(Idx); unsigned OpSizeInBits = TypeInfo.inferScalarType(Op)->getScalarSizeInBits(); if (OpSizeInBits == NewResSizeInBits) continue; assert(OpSizeInBits > NewResSizeInBits && "nothing to truncate"); auto [ProcessedIter, IterIsEmpty] = ProcessedTruncs.try_emplace(Op); if (!IterIsEmpty) { R.setOperand(Idx, ProcessedIter->second); continue; } VPBuilder Builder; if (isa(Op)) Builder.setInsertPoint(PH); else Builder.setInsertPoint(&R); VPWidenCastRecipe *NewOp = Builder.createWidenCast(Instruction::Trunc, Op, NewResTy); ProcessedIter->second = NewOp; R.setOperand(Idx, NewOp); } } } } void VPlanTransforms::removeBranchOnConst(VPlan &Plan, bool OnlyLatches) { std::optional VPDT; if (OnlyLatches) VPDT.emplace(Plan); // Collect all blocks before modifying the CFG so we can identify unreachable // ones after constant branch removal. SmallVector AllBlocks(vp_depth_first_shallow(Plan.getEntry())); for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly(AllBlocks)) { VPValue *Cond; // Skip blocks that are not terminated by BranchOnCond. if (VPBB->empty() || !match(&VPBB->back(), m_BranchOnCond(m_VPValue(Cond)))) continue; if (OnlyLatches && !VPBlockUtils::isLatch(VPBB, *VPDT)) continue; assert(VPBB->getNumSuccessors() == 2 && "Two successors expected for BranchOnCond"); unsigned RemovedIdx; if (match(Cond, m_True())) RemovedIdx = 1; else if (match(Cond, m_False())) RemovedIdx = 0; else continue; VPBasicBlock *RemovedSucc = cast(VPBB->getSuccessors()[RemovedIdx]); assert(count(RemovedSucc->getPredecessors(), VPBB) == 1 && "There must be a single edge between VPBB and its successor"); // Values coming from VPBB into phi recipes of RemovedSucc are removed from // these recipes. for (VPRecipeBase &R : RemovedSucc->phis()) cast(&R)->removeIncomingValueFor(VPBB); // Disconnect blocks and remove the terminator. VPBlockUtils::disconnectBlocks(VPBB, RemovedSucc); VPBB->back().eraseFromParent(); } // Compute which blocks are still reachable from the entry after constant // branch removal. SmallPtrSet Reachable( llvm::from_range, vp_depth_first_shallow(Plan.getEntry())); // Detach all unreachable blocks from their successors, removing their recipes // and incoming values from phi recipes. VPSymbolicValue Tmp; for (VPBlockBase *B : AllBlocks) { if (Reachable.contains(B)) continue; for (VPBlockBase *Succ : to_vector(B->successors())) { if (auto *SuccBB = dyn_cast(Succ)) for (VPRecipeBase &R : SuccBB->phis()) cast(&R)->removeIncomingValueFor(B); VPBlockUtils::disconnectBlocks(B, Succ); } for (VPBasicBlock *DeadBB : VPBlockUtils::blocksOnly(vp_depth_first_deep(B))) { for (VPRecipeBase &R : make_early_inc_range(*DeadBB)) { for (VPValue *Def : R.definedValues()) Def->replaceAllUsesWith(&Tmp); R.eraseFromParent(); } } } } void VPlanTransforms::optimize(VPlan &Plan) { RUN_VPLAN_PASS(removeRedundantCanonicalIVs, Plan); RUN_VPLAN_PASS(removeRedundantInductionCasts, Plan); RUN_VPLAN_PASS(reassociateHeaderMask, Plan); RUN_VPLAN_PASS(simplifyRecipes, Plan); RUN_VPLAN_PASS(removeDeadRecipes, Plan); RUN_VPLAN_PASS(simplifyBlends, Plan); RUN_VPLAN_PASS(legalizeAndOptimizeInductions, Plan); RUN_VPLAN_PASS(narrowToSingleScalarRecipes, Plan); RUN_VPLAN_PASS(removeRedundantExpandSCEVRecipes, Plan); RUN_VPLAN_PASS(reassociateHeaderMask, Plan); RUN_VPLAN_PASS(simplifyRecipes, Plan); RUN_VPLAN_PASS(removeBranchOnConst, Plan, /*OnlyLatches=*/false); RUN_VPLAN_PASS(removeDeadRecipes, Plan); RUN_VPLAN_PASS(createAndOptimizeReplicateRegions, Plan); RUN_VPLAN_PASS(hoistInvariantLoads, Plan); RUN_VPLAN_PASS(mergeBlocksIntoPredecessors, Plan); RUN_VPLAN_PASS(licm, Plan); } // Add a VPActiveLaneMaskPHIRecipe and related recipes to \p Plan and replace // the loop terminator with a branch-on-cond recipe with the negated // active-lane-mask as operand. Note that this turns the loop into an // uncountable one. Only the existing terminator is replaced, all other existing // recipes/users remain unchanged, except for poison-generating flags being // dropped from the canonical IV increment. Return the created // VPActiveLaneMaskPHIRecipe. // // The function adds the following recipes: // // vector.ph: // %EntryInc = canonical-iv-increment-for-part CanonicalIVStart // %EntryALM = active-lane-mask %EntryInc, TC // // vector.body: // ... // %P = active-lane-mask-phi [ %EntryALM, %vector.ph ], [ %ALM, %vector.body ] // ... // %InLoopInc = canonical-iv-increment-for-part CanonicalIVIncrement // %ALM = active-lane-mask %InLoopInc, TC // %Negated = Not %ALM // branch-on-cond %Negated // static VPActiveLaneMaskPHIRecipe * addVPLaneMaskPhiAndUpdateExitBranch(VPlan &Plan) { VPRegionBlock *TopRegion = Plan.getVectorLoopRegion(); VPBasicBlock *EB = TopRegion->getExitingBasicBlock(); VPValue *StartV = Plan.getZero(TopRegion->getCanonicalIVType()); auto *CanonicalIVIncrement = TopRegion->getOrCreateCanonicalIVIncrement(); // TODO: Check if dropping the flags is needed. TopRegion->clearCanonicalIVNUW(CanonicalIVIncrement); DebugLoc DL = CanonicalIVIncrement->getDebugLoc(); // We can't use StartV directly in the ActiveLaneMask VPInstruction, since // we have to take unrolling into account. Each part needs to start at // Part * VF auto *VecPreheader = Plan.getVectorPreheader(); VPBuilder Builder(VecPreheader); // Create the ActiveLaneMask instruction using the correct start values. VPValue *TC = Plan.getTripCount(); VPValue *VF = &Plan.getVF(); auto *EntryIncrement = Builder.createOverflowingOp( VPInstruction::CanonicalIVIncrementForPart, {StartV, VF}, {false, false}, DL, "index.part.next"); // Create the active lane mask instruction in the VPlan preheader. VPValue *ALMMultiplier = Plan.getConstantInt(TopRegion->getCanonicalIVType(), 1); auto *EntryALM = Builder.createNaryOp(VPInstruction::ActiveLaneMask, {EntryIncrement, TC, ALMMultiplier}, DL, "active.lane.mask.entry"); // Now create the ActiveLaneMaskPhi recipe in the main loop using the // preheader ActiveLaneMask instruction. auto *LaneMaskPhi = new VPActiveLaneMaskPHIRecipe(EntryALM, DebugLoc::getUnknown()); auto *HeaderVPBB = TopRegion->getEntryBasicBlock(); LaneMaskPhi->insertBefore(*HeaderVPBB, HeaderVPBB->begin()); // Create the active lane mask for the next iteration of the loop before the // original terminator. VPRecipeBase *OriginalTerminator = EB->getTerminator(); Builder.setInsertPoint(OriginalTerminator); auto *InLoopIncrement = Builder.createOverflowingOp( VPInstruction::CanonicalIVIncrementForPart, {CanonicalIVIncrement, &Plan.getVF()}, {false, false}, DL); auto *ALM = Builder.createNaryOp(VPInstruction::ActiveLaneMask, {InLoopIncrement, TC, ALMMultiplier}, DL, "active.lane.mask.next"); LaneMaskPhi->addOperand(ALM); // Replace the original terminator with BranchOnCond. We have to invert the // mask here because a true condition means jumping to the exit block. auto *NotMask = Builder.createNot(ALM, DL); Builder.createNaryOp(VPInstruction::BranchOnCond, {NotMask}, DL); OriginalTerminator->eraseFromParent(); return LaneMaskPhi; } void VPlanTransforms::addActiveLaneMask(VPlan &Plan, bool UseActiveLaneMaskForControlFlow) { VPRegionBlock *LoopRegion = Plan.getVectorLoopRegion(); auto *WideCanonicalIV = vputils::findUserOf( LoopRegion->getCanonicalIV()); assert(WideCanonicalIV && "Must have widened canonical IV when tail folding!"); VPSingleDefRecipe *HeaderMask = vputils::findHeaderMask(Plan); VPSingleDefRecipe *LaneMask; if (UseActiveLaneMaskForControlFlow) { LaneMask = addVPLaneMaskPhiAndUpdateExitBranch(Plan); } else { VPBuilder B = VPBuilder::getToInsertAfter(WideCanonicalIV); VPValue *ALMMultiplier = Plan.getConstantInt(LoopRegion->getCanonicalIVType(), 1); LaneMask = B.createNaryOp(VPInstruction::ActiveLaneMask, {WideCanonicalIV, Plan.getTripCount(), ALMMultiplier}, nullptr, "active.lane.mask"); } // Walk users of WideCanonicalIV and replace the header mask of the form // (ICMP_ULE, WideCanonicalIV, backedge-taken-count) with an active-lane-mask, // removing the old one to ensure there is always only a single header mask. HeaderMask->replaceAllUsesWith(LaneMask); HeaderMask->eraseFromParent(); } template struct RemoveMask_match { Op0_t In; Op1_t &Out; RemoveMask_match(const Op0_t &In, Op1_t &Out) : In(In), Out(Out) {} template bool match(OpTy *V) const { if (m_Specific(In).match(V)) { Out = nullptr; return true; } return m_LogicalAnd(m_Specific(In), m_VPValue(Out)).match(V); } }; /// Match a specific mask \p In, or a combination of it (logical-and In, Out). /// Returns the remaining part \p Out if so, or nullptr otherwise. template static inline RemoveMask_match m_RemoveMask(const Op0_t &In, Op1_t &Out) { return RemoveMask_match(In, Out); } /// Try to optimize a \p CurRecipe masked by \p HeaderMask to a corresponding /// EVL-based recipe without the header mask. Returns nullptr if no EVL-based /// recipe could be created. /// \p HeaderMask Header Mask. /// \p CurRecipe Recipe to be transform. /// \p TypeInfo VPlan-based type analysis. /// \p EVL The explicit vector length parameter of vector-predication /// intrinsics. static VPRecipeBase *optimizeMaskToEVL(VPValue *HeaderMask, VPRecipeBase &CurRecipe, VPTypeAnalysis &TypeInfo, VPValue &EVL) { VPlan *Plan = CurRecipe.getParent()->getPlan(); DebugLoc DL = CurRecipe.getDebugLoc(); VPValue *Addr, *Mask, *EndPtr; /// Adjust any end pointers so that they point to the end of EVL lanes not VF. auto AdjustEndPtr = [&CurRecipe, &EVL](VPValue *EndPtr) { auto *EVLEndPtr = cast(EndPtr)->clone(); EVLEndPtr->insertBefore(&CurRecipe); EVLEndPtr->setOperand(1, &EVL); return EVLEndPtr; }; auto GetVPReverse = [&CurRecipe, &EVL, &TypeInfo, Plan, DL](VPValue *V) -> VPWidenIntrinsicRecipe * { if (!V) return nullptr; auto *Reverse = new VPWidenIntrinsicRecipe( Intrinsic::experimental_vp_reverse, {V, Plan->getTrue(), &EVL}, TypeInfo.inferScalarType(V), {}, {}, DL); Reverse->insertBefore(&CurRecipe); return Reverse; }; if (match(&CurRecipe, m_MaskedLoad(m_VPValue(Addr), m_RemoveMask(HeaderMask, Mask)))) return new VPWidenLoadEVLRecipe(cast(CurRecipe), Addr, EVL, Mask); VPValue *ReversedVal; if (match(&CurRecipe, m_Reverse(m_VPValue(ReversedVal))) && match(ReversedVal, m_MaskedLoad(m_VPValue(EndPtr), m_Reverse(m_RemoveMask(HeaderMask, Mask)))) && match(EndPtr, m_VecEndPtr(m_VPValue(), m_Specific(&Plan->getVF())))) { Mask = GetVPReverse(Mask); Addr = AdjustEndPtr(EndPtr); auto *LoadR = new VPWidenLoadEVLRecipe( *cast(ReversedVal), Addr, EVL, Mask); LoadR->insertBefore(&CurRecipe); return new VPWidenIntrinsicRecipe( Intrinsic::experimental_vp_reverse, {LoadR, Plan->getTrue(), &EVL}, TypeInfo.inferScalarType(LoadR), {}, {}, DL); } VPValue *StoredVal; if (match(&CurRecipe, m_MaskedStore(m_VPValue(Addr), m_VPValue(StoredVal), m_RemoveMask(HeaderMask, Mask)))) return new VPWidenStoreEVLRecipe(cast(CurRecipe), Addr, StoredVal, EVL, Mask); if (match(&CurRecipe, m_MaskedStore(m_VPValue(EndPtr), m_Reverse(m_VPValue(ReversedVal)), m_Reverse(m_RemoveMask(HeaderMask, Mask)))) && match(EndPtr, m_VecEndPtr(m_VPValue(), m_Specific(&Plan->getVF())))) { Mask = GetVPReverse(Mask); Addr = AdjustEndPtr(EndPtr); StoredVal = GetVPReverse(ReversedVal); return new VPWidenStoreEVLRecipe(cast(CurRecipe), Addr, StoredVal, EVL, Mask); } if (auto *Rdx = dyn_cast(&CurRecipe)) if (Rdx->isConditional() && match(Rdx->getCondOp(), m_RemoveMask(HeaderMask, Mask))) return new VPReductionEVLRecipe(*Rdx, EVL, Mask); if (auto *Interleave = dyn_cast(&CurRecipe)) if (Interleave->getMask() && match(Interleave->getMask(), m_RemoveMask(HeaderMask, Mask))) return new VPInterleaveEVLRecipe(*Interleave, EVL, Mask); VPValue *LHS, *RHS; if (match(&CurRecipe, m_Select(m_Specific(HeaderMask), m_VPValue(LHS), m_VPValue(RHS)))) return new VPWidenIntrinsicRecipe( Intrinsic::vp_merge, {Plan->getTrue(), LHS, RHS, &EVL}, TypeInfo.inferScalarType(LHS), {}, {}, DL); if (match(&CurRecipe, m_Select(m_RemoveMask(HeaderMask, Mask), m_VPValue(LHS), m_VPValue(RHS)))) return new VPWidenIntrinsicRecipe( Intrinsic::vp_merge, {Mask, LHS, RHS, &EVL}, TypeInfo.inferScalarType(LHS), {}, {}, DL); if (match(&CurRecipe, m_LastActiveLane(m_Specific(HeaderMask)))) { Type *Ty = TypeInfo.inferScalarType(CurRecipe.getVPSingleValue()); VPValue *ZExt = VPBuilder(&CurRecipe) .createScalarZExtOrTrunc( &EVL, Ty, TypeInfo.inferScalarType(&EVL), DL); return new VPInstruction( Instruction::Sub, {ZExt, Plan->getConstantInt(Ty, 1)}, VPIRFlags::getDefaultFlags(Instruction::Sub), {}, DL); } // lhs | (headermask && rhs) -> vp.merge rhs, true, lhs, evl if (match(&CurRecipe, m_c_BinaryOr(m_VPValue(LHS), m_LogicalAnd(m_Specific(HeaderMask), m_VPValue(RHS))))) return new VPWidenIntrinsicRecipe( Intrinsic::vp_merge, {RHS, Plan->getTrue(), LHS, &EVL}, TypeInfo.inferScalarType(LHS), {}, {}, DL); return nullptr; } /// Optimize away any EVL-based header masks to VP intrinsic based recipes. /// The transforms here need to preserve the original semantics. void VPlanTransforms::optimizeEVLMasks(VPlan &Plan) { // Find the EVL-based header mask if it exists: icmp ult step-vector, EVL VPValue *HeaderMask = nullptr, *EVL = nullptr; for (VPRecipeBase &R : *Plan.getVectorLoopRegion()->getEntryBasicBlock()) { if (match(&R, m_SpecificICmp(CmpInst::ICMP_ULT, m_StepVector(), m_VPValue(EVL))) && match(EVL, m_EVL(m_VPValue()))) { HeaderMask = R.getVPSingleValue(); break; } } if (!HeaderMask) return; VPTypeAnalysis TypeInfo(Plan); SmallVector OldRecipes; for (VPUser *U : collectUsersRecursively(HeaderMask)) { VPRecipeBase *R = cast(U); if (auto *NewR = optimizeMaskToEVL(HeaderMask, *R, TypeInfo, *EVL)) { NewR->insertBefore(R); for (auto [Old, New] : zip_equal(R->definedValues(), NewR->definedValues())) Old->replaceAllUsesWith(New); OldRecipes.push_back(R); } } // Replace remaining (HeaderMask && Mask) with vp.merge (True, Mask, // False, EVL) for (VPUser *U : collectUsersRecursively(HeaderMask)) { VPValue *Mask; if (match(U, m_LogicalAnd(m_Specific(HeaderMask), m_VPValue(Mask)))) { auto *LogicalAnd = cast(U); auto *Merge = new VPWidenIntrinsicRecipe( Intrinsic::vp_merge, {Plan.getTrue(), Mask, Plan.getFalse(), EVL}, TypeInfo.inferScalarType(Mask), {}, {}, LogicalAnd->getDebugLoc()); Merge->insertBefore(LogicalAnd); LogicalAnd->replaceAllUsesWith(Merge); OldRecipes.push_back(LogicalAnd); } } // Erase old recipes at the end so we don't invalidate TypeInfo. for (VPRecipeBase *R : reverse(OldRecipes)) { SmallVector PossiblyDead(R->operands()); R->eraseFromParent(); for (VPValue *Op : PossiblyDead) recursivelyDeleteDeadRecipes(Op); } } /// After replacing the canonical IV with a EVL-based IV, fixup recipes that use /// VF to use the EVL instead to avoid incorrect updates on the penultimate /// iteration. static void fixupVFUsersForEVL(VPlan &Plan, VPValue &EVL) { VPTypeAnalysis TypeInfo(Plan); VPRegionBlock *LoopRegion = Plan.getVectorLoopRegion(); VPBasicBlock *Header = LoopRegion->getEntryBasicBlock(); assert(all_of(Plan.getVF().users(), IsaPred) && "User of VF that we can't transform to EVL."); Plan.getVF().replaceUsesWithIf(&EVL, [](VPUser &U, unsigned Idx) { return isa(U); }); assert(all_of(Plan.getVFxUF().users(), match_fn(m_CombineOr( m_c_Add(m_Specific(LoopRegion->getCanonicalIV()), m_Specific(&Plan.getVFxUF())), m_Isa()))) && "Only users of VFxUF should be VPWidenPointerInductionRecipe and the " "increment of the canonical induction."); Plan.getVFxUF().replaceUsesWithIf(&EVL, [](VPUser &U, unsigned Idx) { // Only replace uses in VPWidenPointerInductionRecipe; The increment of the // canonical induction must not be updated. return isa(U); }); // Create a scalar phi to track the previous EVL if fixed-order recurrence is // contained. bool ContainsFORs = any_of(Header->phis(), IsaPred); if (ContainsFORs) { // TODO: Use VPInstruction::ExplicitVectorLength to get maximum EVL. VPValue *MaxEVL = &Plan.getVF(); // Emit VPScalarCastRecipe in preheader if VF is not a 32 bits integer. VPBuilder Builder(LoopRegion->getPreheaderVPBB()); MaxEVL = Builder.createScalarZExtOrTrunc( MaxEVL, Type::getInt32Ty(Plan.getContext()), TypeInfo.inferScalarType(MaxEVL), DebugLoc::getUnknown()); Builder.setInsertPoint(Header, Header->getFirstNonPhi()); VPValue *PrevEVL = Builder.createScalarPhi( {MaxEVL, &EVL}, DebugLoc::getUnknown(), "prev.evl"); for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_deep(Plan.getVectorLoopRegion()->getEntry()))) { for (VPRecipeBase &R : *VPBB) { VPValue *V1, *V2; if (!match(&R, m_VPInstruction( m_VPValue(V1), m_VPValue(V2)))) continue; VPValue *Imm = Plan.getOrAddLiveIn( ConstantInt::getSigned(Type::getInt32Ty(Plan.getContext()), -1)); VPWidenIntrinsicRecipe *VPSplice = new VPWidenIntrinsicRecipe( Intrinsic::experimental_vp_splice, {V1, V2, Imm, Plan.getTrue(), PrevEVL, &EVL}, TypeInfo.inferScalarType(R.getVPSingleValue()), {}, {}, R.getDebugLoc()); VPSplice->insertBefore(&R); R.getVPSingleValue()->replaceAllUsesWith(VPSplice); } } } VPValue *HeaderMask = vputils::findHeaderMask(Plan); if (!HeaderMask) return; // Ensure that any reduction that uses a select to mask off tail lanes does so // in the vector loop, not the middle block, since EVL tail folding can have // tail elements in the penultimate iteration. assert(all_of(*Plan.getMiddleBlock(), [&Plan, HeaderMask](VPRecipeBase &R) { if (match(&R, m_ComputeReductionResult(m_Select(m_Specific(HeaderMask), m_VPValue(), m_VPValue())))) return R.getOperand(0)->getDefiningRecipe()->getRegion() == Plan.getVectorLoopRegion(); return true; })); // Replace header masks with a mask equivalent to predicating by EVL: // // icmp ule widen-canonical-iv backedge-taken-count // -> // icmp ult step-vector, EVL VPRecipeBase *EVLR = EVL.getDefiningRecipe(); VPBuilder Builder(EVLR->getParent(), std::next(EVLR->getIterator())); Type *EVLType = TypeInfo.inferScalarType(&EVL); VPValue *EVLMask = Builder.createICmp( CmpInst::ICMP_ULT, Builder.createNaryOp(VPInstruction::StepVector, {}, EVLType), &EVL); HeaderMask->replaceAllUsesWith(EVLMask); } /// Converts a tail folded vector loop region to step by /// VPInstruction::ExplicitVectorLength elements instead of VF elements each /// iteration. /// /// - Add a VPCurrentIterationPHIRecipe and related recipes to \p Plan and /// replaces all uses of the canonical IV except for the canonical IV /// increment with a VPCurrentIterationPHIRecipe. The canonical IV is used /// only for loop iterations counting after this transformation. /// /// - The header mask is replaced with a header mask based on the EVL. /// /// - Plans with FORs have a new phi added to keep track of the EVL of the /// previous iteration, and VPFirstOrderRecurrencePHIRecipes are replaced with /// @llvm.vp.splice. /// /// The function uses the following definitions: /// %StartV is the canonical induction start value. /// /// The function adds the following recipes: /// /// vector.ph: /// ... /// /// vector.body: /// ... /// %CurrentIter = CURRENT-ITERATION-PHI [ %StartV, %vector.ph ], /// [ %NextIter, %vector.body ] /// %AVL = phi [ trip-count, %vector.ph ], [ %NextAVL, %vector.body ] /// %VPEVL = EXPLICIT-VECTOR-LENGTH %AVL /// ... /// %OpEVL = cast i32 %VPEVL to IVSize /// %NextIter = add IVSize %OpEVL, %CurrentIter /// %NextAVL = sub IVSize nuw %AVL, %OpEVL /// ... /// /// If MaxSafeElements is provided, the function adds the following recipes: /// vector.ph: /// ... /// /// vector.body: /// ... /// %CurrentIter = CURRENT-ITERATION-PHI [ %StartV, %vector.ph ], /// [ %NextIter, %vector.body ] /// %AVL = phi [ trip-count, %vector.ph ], [ %NextAVL, %vector.body ] /// %cmp = cmp ult %AVL, MaxSafeElements /// %SAFE_AVL = select %cmp, %AVL, MaxSafeElements /// %VPEVL = EXPLICIT-VECTOR-LENGTH %SAFE_AVL /// ... /// %OpEVL = cast i32 %VPEVL to IVSize /// %NextIter = add IVSize %OpEVL, %CurrentIter /// %NextAVL = sub IVSize nuw %AVL, %OpEVL /// ... /// void VPlanTransforms::addExplicitVectorLength( VPlan &Plan, const std::optional &MaxSafeElements) { if (Plan.hasScalarVFOnly()) return; VPRegionBlock *LoopRegion = Plan.getVectorLoopRegion(); VPBasicBlock *Header = LoopRegion->getEntryBasicBlock(); auto *CanonicalIV = LoopRegion->getCanonicalIV(); auto *CanIVTy = LoopRegion->getCanonicalIVType(); VPValue *StartV = Plan.getZero(CanIVTy); auto *CanonicalIVIncrement = LoopRegion->getOrCreateCanonicalIVIncrement(); // Create the CurrentIteration recipe in the vector loop. auto *CurrentIteration = new VPCurrentIterationPHIRecipe(StartV, DebugLoc::getUnknown()); CurrentIteration->insertBefore(*Header, Header->begin()); VPBuilder Builder(Header, Header->getFirstNonPhi()); // Create the AVL (application vector length), starting from TC -> 0 in steps // of EVL. VPPhi *AVLPhi = Builder.createScalarPhi( {Plan.getTripCount()}, DebugLoc::getCompilerGenerated(), "avl"); VPValue *AVL = AVLPhi; if (MaxSafeElements) { // Support for MaxSafeDist for correct loop emission. VPValue *AVLSafe = Plan.getConstantInt(CanIVTy, *MaxSafeElements); VPValue *Cmp = Builder.createICmp(ICmpInst::ICMP_ULT, AVL, AVLSafe); AVL = Builder.createSelect(Cmp, AVL, AVLSafe, DebugLoc::getUnknown(), "safe_avl"); } auto *VPEVL = Builder.createNaryOp(VPInstruction::ExplicitVectorLength, AVL, DebugLoc::getUnknown(), "evl"); Builder.setInsertPoint(CanonicalIVIncrement); VPValue *OpVPEVL = VPEVL; auto *I32Ty = Type::getInt32Ty(Plan.getContext()); OpVPEVL = Builder.createScalarZExtOrTrunc( OpVPEVL, CanIVTy, I32Ty, CanonicalIVIncrement->getDebugLoc()); auto *NextIter = Builder.createAdd( OpVPEVL, CurrentIteration, CanonicalIVIncrement->getDebugLoc(), "current.iteration.next", CanonicalIVIncrement->getNoWrapFlags()); CurrentIteration->addOperand(NextIter); VPValue *NextAVL = Builder.createSub(AVLPhi, OpVPEVL, DebugLoc::getCompilerGenerated(), "avl.next", {/*NUW=*/true, /*NSW=*/false}); AVLPhi->addOperand(NextAVL); fixupVFUsersForEVL(Plan, *VPEVL); removeDeadRecipes(Plan); // Replace all uses of the canonical IV with VPCurrentIterationPHIRecipe // except for the canonical IV increment. CanonicalIV->replaceAllUsesWith(CurrentIteration); CanonicalIVIncrement->setOperand(0, CanonicalIV); // TODO: support unroll factor > 1. Plan.setUF(1); } void VPlanTransforms::convertToVariableLengthStep(VPlan &Plan) { // Find the vector loop entry by locating VPCurrentIterationPHIRecipe. // There should be only one VPCurrentIteration in the entire plan. VPCurrentIterationPHIRecipe *CurrentIteration = nullptr; for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_shallow(Plan.getEntry()))) for (VPRecipeBase &R : VPBB->phis()) if (auto *PhiR = dyn_cast(&R)) { assert(!CurrentIteration && "Found multiple CurrentIteration. Only one expected"); CurrentIteration = PhiR; } // Early return if it is not variable-length stepping. if (!CurrentIteration) return; VPBasicBlock *HeaderVPBB = CurrentIteration->getParent(); VPValue *CurrentIterationIncr = CurrentIteration->getBackedgeValue(); // Convert CurrentIteration to concrete recipe. auto *ScalarR = VPBuilder(CurrentIteration) .createScalarPhi( {CurrentIteration->getStartValue(), CurrentIterationIncr}, CurrentIteration->getDebugLoc(), "current.iteration.iv"); CurrentIteration->replaceAllUsesWith(ScalarR); CurrentIteration->eraseFromParent(); // Replace CanonicalIVInc with CurrentIteration increment if it exists. auto *CanonicalIV = cast(&*HeaderVPBB->begin()); if (auto *CanIVInc = vputils::findUserOf( CanonicalIV, m_c_Add(m_VPValue(), m_Specific(&Plan.getVFxUF())))) { cast(CanIVInc)->replaceAllUsesWith(CurrentIterationIncr); CanIVInc->eraseFromParent(); } } void VPlanTransforms::convertEVLExitCond(VPlan &Plan) { VPRegionBlock *LoopRegion = Plan.getVectorLoopRegion(); if (!LoopRegion) return; VPBasicBlock *Header = LoopRegion->getEntryBasicBlock(); if (Header->empty()) return; // The EVL IV is always at the beginning. auto *EVLPhi = dyn_cast(&Header->front()); if (!EVLPhi) return; // Bail if not an EVL tail folded loop. VPValue *AVL; if (!match(EVLPhi->getBackedgeValue(), m_c_Add(m_ZExtOrSelf(m_EVL(m_VPValue(AVL))), m_Specific(EVLPhi)))) return; // The AVL may be capped to a safe distance. VPValue *SafeAVL, *UnsafeAVL; if (match(AVL, m_Select(m_SpecificICmp(CmpInst::ICMP_ULT, m_VPValue(UnsafeAVL), m_VPValue(SafeAVL)), m_Deferred(UnsafeAVL), m_Deferred(SafeAVL)))) AVL = UnsafeAVL; VPValue *AVLNext; [[maybe_unused]] bool FoundAVLNext = match(AVL, m_VPInstruction( m_Specific(Plan.getTripCount()), m_VPValue(AVLNext))); assert(FoundAVLNext && "Didn't find AVL backedge?"); VPBasicBlock *Latch = LoopRegion->getExitingBasicBlock(); auto *LatchBr = cast(Latch->getTerminator()); if (match(LatchBr, m_BranchOnCond(m_True()))) return; VPValue *CanIVInc; [[maybe_unused]] bool FoundIncrement = match( LatchBr, m_BranchOnCond(m_SpecificCmp(CmpInst::ICMP_EQ, m_VPValue(CanIVInc), m_Specific(&Plan.getVectorTripCount())))); assert(FoundIncrement && match(CanIVInc, m_Add(m_Specific(LoopRegion->getCanonicalIV()), m_Specific(&Plan.getVFxUF()))) && "Expected BranchOnCond with ICmp comparing CanIV + VFxUF with vector " "trip count"); Type *AVLTy = VPTypeAnalysis(Plan).inferScalarType(AVLNext); VPBuilder Builder(LatchBr); LatchBr->setOperand( 0, Builder.createICmp(CmpInst::ICMP_EQ, AVLNext, Plan.getZero(AVLTy))); } void VPlanTransforms::replaceSymbolicStrides( VPlan &Plan, PredicatedScalarEvolution &PSE, const DenseMap &StridesMap) { // Replace VPValues for known constant strides guaranteed by predicate scalar // evolution. auto CanUseVersionedStride = [&Plan](VPUser &U, unsigned) { auto *R = cast(&U); return R->getRegion() || R->getParent() == Plan.getVectorLoopRegion()->getSinglePredecessor(); }; ValueToSCEVMapTy RewriteMap; for (const SCEV *Stride : StridesMap.values()) { using namespace SCEVPatternMatch; auto *StrideV = cast(Stride)->getValue(); const APInt *StrideConst; if (!match(PSE.getSCEV(StrideV), m_scev_APInt(StrideConst))) // Only handle constant strides for now. continue; auto *CI = Plan.getConstantInt(*StrideConst); if (VPValue *StrideVPV = Plan.getLiveIn(StrideV)) StrideVPV->replaceUsesWithIf(CI, CanUseVersionedStride); // The versioned value may not be used in the loop directly but through a // sext/zext. Add new live-ins in those cases. for (Value *U : StrideV->users()) { if (!isa(U)) continue; VPValue *StrideVPV = Plan.getLiveIn(U); if (!StrideVPV) continue; unsigned BW = U->getType()->getScalarSizeInBits(); APInt C = isa(U) ? StrideConst->sext(BW) : StrideConst->zext(BW); VPValue *CI = Plan.getConstantInt(C); StrideVPV->replaceUsesWithIf(CI, CanUseVersionedStride); } RewriteMap[StrideV] = PSE.getSCEV(StrideV); } for (VPRecipeBase &R : *Plan.getEntry()) { auto *ExpSCEV = dyn_cast(&R); if (!ExpSCEV) continue; const SCEV *ScevExpr = ExpSCEV->getSCEV(); auto *NewSCEV = SCEVParameterRewriter::rewrite(ScevExpr, *PSE.getSE(), RewriteMap); if (NewSCEV != ScevExpr) { VPValue *NewExp = vputils::getOrCreateVPValueForSCEVExpr(Plan, NewSCEV); ExpSCEV->replaceAllUsesWith(NewExp); if (Plan.getTripCount() == ExpSCEV) Plan.resetTripCount(NewExp); } } } void VPlanTransforms::dropPoisonGeneratingRecipes( VPlan &Plan, const std::function &BlockNeedsPredication) { // Collect recipes in the backward slice of `Root` that may generate a poison // value that is used after vectorization. SmallPtrSet Visited; auto CollectPoisonGeneratingInstrsInBackwardSlice([&](VPRecipeBase *Root) { SmallVector Worklist; Worklist.push_back(Root); // Traverse the backward slice of Root through its use-def chain. while (!Worklist.empty()) { VPRecipeBase *CurRec = Worklist.pop_back_val(); if (!Visited.insert(CurRec).second) continue; // Prune search if we find another recipe generating a widen memory // instruction. Widen memory instructions involved in address computation // will lead to gather/scatter instructions, which don't need to be // handled. if (isa(CurRec)) continue; // This recipe contributes to the address computation of a widen // load/store. If the underlying instruction has poison-generating flags, // drop them directly. if (auto *RecWithFlags = dyn_cast(CurRec)) { VPValue *A, *B; // Dropping disjoint from an OR may yield incorrect results, as some // analysis may have converted it to an Add implicitly (e.g. SCEV used // for dependence analysis). Instead, replace it with an equivalent Add. // This is possible as all users of the disjoint OR only access lanes // where the operands are disjoint or poison otherwise. if (match(RecWithFlags, m_BinaryOr(m_VPValue(A), m_VPValue(B))) && RecWithFlags->isDisjoint()) { VPBuilder Builder(RecWithFlags); VPInstruction *New = Builder.createAdd(A, B, RecWithFlags->getDebugLoc()); New->setUnderlyingValue(RecWithFlags->getUnderlyingValue()); RecWithFlags->replaceAllUsesWith(New); RecWithFlags->eraseFromParent(); CurRec = New; } else RecWithFlags->dropPoisonGeneratingFlags(); } else { Instruction *Instr = dyn_cast_or_null( CurRec->getVPSingleValue()->getUnderlyingValue()); (void)Instr; assert((!Instr || !Instr->hasPoisonGeneratingFlags()) && "found instruction with poison generating flags not covered by " "VPRecipeWithIRFlags"); } // Add new definitions to the worklist. for (VPValue *Operand : CurRec->operands()) if (VPRecipeBase *OpDef = Operand->getDefiningRecipe()) Worklist.push_back(OpDef); } }); // Traverse all the recipes in the VPlan and collect the poison-generating // recipes in the backward slice starting at the address of a VPWidenRecipe or // VPInterleaveRecipe. auto Iter = vp_depth_first_shallow(Plan.getVectorLoopRegion()->getEntryBasicBlock()); for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly(Iter)) { for (VPRecipeBase &Recipe : *VPBB) { if (auto *WidenRec = dyn_cast(&Recipe)) { Instruction &UnderlyingInstr = WidenRec->getIngredient(); VPRecipeBase *AddrDef = WidenRec->getAddr()->getDefiningRecipe(); if (AddrDef && WidenRec->isConsecutive() && BlockNeedsPredication(UnderlyingInstr.getParent())) CollectPoisonGeneratingInstrsInBackwardSlice(AddrDef); } else if (auto *InterleaveRec = dyn_cast(&Recipe)) { VPRecipeBase *AddrDef = InterleaveRec->getAddr()->getDefiningRecipe(); if (AddrDef) { // Check if any member of the interleave group needs predication. const InterleaveGroup *InterGroup = InterleaveRec->getInterleaveGroup(); bool NeedPredication = false; for (Instruction *Member : InterGroup->members()) NeedPredication |= BlockNeedsPredication(Member->getParent()); if (NeedPredication) CollectPoisonGeneratingInstrsInBackwardSlice(AddrDef); } } } } } void VPlanTransforms::createInterleaveGroups( VPlan &Plan, const SmallPtrSetImpl *> &InterleaveGroups, VPRecipeBuilder &RecipeBuilder, const bool &EpilogueAllowed) { if (InterleaveGroups.empty()) return; // Interleave memory: for each Interleave Group we marked earlier as relevant // for this VPlan, replace the Recipes widening its memory instructions with a // single VPInterleaveRecipe at its insertion point. VPDominatorTree VPDT(Plan); for (const auto *IG : InterleaveGroups) { auto *Start = cast(RecipeBuilder.getRecipe(IG->getMember(0))); VPIRMetadata InterleaveMD(*Start); SmallVector StoredValues; if (auto *StoreR = dyn_cast(Start)) StoredValues.push_back(StoreR->getStoredValue()); for (unsigned I = 1; I < IG->getFactor(); ++I) { Instruction *MemberI = IG->getMember(I); if (!MemberI) continue; VPWidenMemoryRecipe *MemoryR = cast(RecipeBuilder.getRecipe(MemberI)); if (auto *StoreR = dyn_cast(MemoryR)) StoredValues.push_back(StoreR->getStoredValue()); InterleaveMD.intersect(*MemoryR); } bool NeedsMaskForGaps = (IG->requiresScalarEpilogue() && !EpilogueAllowed) || (!StoredValues.empty() && !IG->isFull()); Instruction *IRInsertPos = IG->getInsertPos(); auto *InsertPos = cast(RecipeBuilder.getRecipe(IRInsertPos)); GEPNoWrapFlags NW = GEPNoWrapFlags::none(); if (auto *Gep = dyn_cast( getLoadStorePointerOperand(IRInsertPos)->stripPointerCasts())) NW = Gep->getNoWrapFlags().withoutNoUnsignedWrap(); // Get or create the start address for the interleave group. VPValue *Addr = Start->getAddr(); VPRecipeBase *AddrDef = Addr->getDefiningRecipe(); if (AddrDef && !VPDT.properlyDominates(AddrDef, InsertPos)) { // We cannot re-use the address of member zero because it does not // dominate the insert position. Instead, use the address of the insert // position and create a PtrAdd adjusting it to the address of member // zero. // TODO: Hoist Addr's defining recipe (and any operands as needed) to // InsertPos or sink loads above zero members to join it. assert(IG->getIndex(IRInsertPos) != 0 && "index of insert position shouldn't be zero"); auto &DL = IRInsertPos->getDataLayout(); APInt Offset(32, DL.getTypeAllocSize(getLoadStoreType(IRInsertPos)) * IG->getIndex(IRInsertPos), /*IsSigned=*/true); VPValue *OffsetVPV = Plan.getConstantInt(-Offset); VPBuilder B(InsertPos); Addr = B.createNoWrapPtrAdd(InsertPos->getAddr(), OffsetVPV, NW); } // If the group is reverse, adjust the index to refer to the last vector // lane instead of the first. We adjust the index from the first vector // lane, rather than directly getting the pointer for lane VF - 1, because // the pointer operand of the interleaved access is supposed to be uniform. if (IG->isReverse()) { auto *ReversePtr = new VPVectorEndPointerRecipe( Addr, &Plan.getVF(), getLoadStoreType(IRInsertPos), -(int64_t)IG->getFactor(), NW, InsertPos->getDebugLoc()); ReversePtr->insertBefore(InsertPos); Addr = ReversePtr; } auto *VPIG = new VPInterleaveRecipe(IG, Addr, StoredValues, InsertPos->getMask(), NeedsMaskForGaps, InterleaveMD, InsertPos->getDebugLoc()); VPIG->insertBefore(InsertPos); unsigned J = 0; for (unsigned i = 0; i < IG->getFactor(); ++i) if (Instruction *Member = IG->getMember(i)) { VPRecipeBase *MemberR = RecipeBuilder.getRecipe(Member); if (!Member->getType()->isVoidTy()) { VPValue *OriginalV = MemberR->getVPSingleValue(); OriginalV->replaceAllUsesWith(VPIG->getVPValue(J)); J++; } MemberR->eraseFromParent(); } } } /// Expand a VPWidenIntOrFpInduction into executable recipes, for the initial /// value, phi and backedge value. In the following example: /// /// vector.ph: /// Successor(s): vector loop /// /// vector loop: { /// vector.body: /// WIDEN-INDUCTION %i = phi %start, %step, %vf /// ... /// EMIT branch-on-count ... /// No successors /// } /// /// WIDEN-INDUCTION will get expanded to: /// /// vector.ph: /// ... /// vp<%induction.start> = ... /// vp<%induction.increment> = ... /// /// Successor(s): vector loop /// /// vector loop: { /// vector.body: /// ir<%i> = WIDEN-PHI vp<%induction.start>, vp<%vec.ind.next> /// ... /// vp<%vec.ind.next> = add ir<%i>, vp<%induction.increment> /// EMIT branch-on-count ... /// No successors /// } static void expandVPWidenIntOrFpInduction(VPWidenIntOrFpInductionRecipe *WidenIVR, VPTypeAnalysis &TypeInfo) { VPlan *Plan = WidenIVR->getParent()->getPlan(); VPValue *Start = WidenIVR->getStartValue(); VPValue *Step = WidenIVR->getStepValue(); VPValue *VF = WidenIVR->getVFValue(); DebugLoc DL = WidenIVR->getDebugLoc(); // The value from the original loop to which we are mapping the new induction // variable. Type *Ty = TypeInfo.inferScalarType(WidenIVR); const InductionDescriptor &ID = WidenIVR->getInductionDescriptor(); Instruction::BinaryOps AddOp; Instruction::BinaryOps MulOp; VPIRFlags Flags = *WidenIVR; if (ID.getKind() == InductionDescriptor::IK_IntInduction) { AddOp = Instruction::Add; MulOp = Instruction::Mul; } else { AddOp = ID.getInductionOpcode(); MulOp = Instruction::FMul; } // If the phi is truncated, truncate the start and step values. VPBuilder Builder(Plan->getVectorPreheader()); Type *StepTy = TypeInfo.inferScalarType(Step); if (Ty->getScalarSizeInBits() < StepTy->getScalarSizeInBits()) { assert(StepTy->isIntegerTy() && "Truncation requires an integer type"); Step = Builder.createScalarCast(Instruction::Trunc, Step, Ty, DL); Start = Builder.createScalarCast(Instruction::Trunc, Start, Ty, DL); StepTy = Ty; } // Construct the initial value of the vector IV in the vector loop preheader. Type *IVIntTy = IntegerType::get(Plan->getContext(), StepTy->getScalarSizeInBits()); VPValue *Init = Builder.createNaryOp(VPInstruction::StepVector, {}, IVIntTy); if (StepTy->isFloatingPointTy()) Init = Builder.createWidenCast(Instruction::UIToFP, Init, StepTy); VPValue *SplatStart = Builder.createNaryOp(VPInstruction::Broadcast, Start); VPValue *SplatStep = Builder.createNaryOp(VPInstruction::Broadcast, Step); Init = Builder.createNaryOp(MulOp, {Init, SplatStep}, Flags); Init = Builder.createNaryOp(AddOp, {SplatStart, Init}, Flags, DebugLoc::getUnknown(), "induction"); // Create the widened phi of the vector IV. auto *WidePHI = VPBuilder(WidenIVR).createWidenPhi( Init, WidenIVR->getDebugLoc(), "vec.ind"); // Create the backedge value for the vector IV. VPValue *Inc; VPValue *Prev; // If unrolled, use the increment and prev value from the operands. if (auto *SplatVF = WidenIVR->getSplatVFValue()) { Inc = SplatVF; Prev = WidenIVR->getLastUnrolledPartOperand(); } else { if (VPRecipeBase *R = VF->getDefiningRecipe()) Builder.setInsertPoint(R->getParent(), std::next(R->getIterator())); // Multiply the vectorization factor by the step using integer or // floating-point arithmetic as appropriate. if (StepTy->isFloatingPointTy()) VF = Builder.createScalarCast(Instruction::CastOps::UIToFP, VF, StepTy, DL); else VF = Builder.createScalarZExtOrTrunc(VF, StepTy, TypeInfo.inferScalarType(VF), DL); Inc = Builder.createNaryOp(MulOp, {Step, VF}, Flags); Inc = Builder.createNaryOp(VPInstruction::Broadcast, Inc); Prev = WidePHI; } VPBasicBlock *ExitingBB = Plan->getVectorLoopRegion()->getExitingBasicBlock(); Builder.setInsertPoint(ExitingBB, ExitingBB->getTerminator()->getIterator()); auto *Next = Builder.createNaryOp(AddOp, {Prev, Inc}, Flags, WidenIVR->getDebugLoc(), "vec.ind.next"); WidePHI->addOperand(Next); WidenIVR->replaceAllUsesWith(WidePHI); } /// Expand a VPWidenPointerInductionRecipe into executable recipes, for the /// initial value, phi and backedge value. In the following example: /// /// vector loop: { /// vector.body: /// EMIT ir<%ptr.iv> = WIDEN-POINTER-INDUCTION %start, %step, %vf /// ... /// EMIT branch-on-count ... /// } /// /// WIDEN-POINTER-INDUCTION will get expanded to: /// /// vector loop: { /// vector.body: /// EMIT-SCALAR %pointer.phi = phi %start, %ptr.ind /// EMIT %mul = mul %stepvector, %step /// EMIT %vector.gep = wide-ptradd %pointer.phi, %mul /// ... /// EMIT %ptr.ind = ptradd %pointer.phi, %vf /// EMIT branch-on-count ... /// } static void expandVPWidenPointerInduction(VPWidenPointerInductionRecipe *R, VPTypeAnalysis &TypeInfo) { VPlan *Plan = R->getParent()->getPlan(); VPValue *Start = R->getStartValue(); VPValue *Step = R->getStepValue(); VPValue *VF = R->getVFValue(); assert(R->getInductionDescriptor().getKind() == InductionDescriptor::IK_PtrInduction && "Not a pointer induction according to InductionDescriptor!"); assert(TypeInfo.inferScalarType(R)->isPointerTy() && "Unexpected type."); assert(!R->onlyScalarsGenerated(Plan->hasScalableVF()) && "Recipe should have been replaced"); VPBuilder Builder(R); DebugLoc DL = R->getDebugLoc(); // Build a scalar pointer phi. VPPhi *ScalarPtrPhi = Builder.createScalarPhi(Start, DL, "pointer.phi"); // Create actual address geps that use the pointer phi as base and a // vectorized version of the step value () as offset. Builder.setInsertPoint(R->getParent(), R->getParent()->getFirstNonPhi()); Type *StepTy = TypeInfo.inferScalarType(Step); VPValue *Offset = Builder.createNaryOp(VPInstruction::StepVector, {}, StepTy); Offset = Builder.createOverflowingOp(Instruction::Mul, {Offset, Step}); VPValue *PtrAdd = Builder.createWidePtrAdd(ScalarPtrPhi, Offset, DL, "vector.gep"); R->replaceAllUsesWith(PtrAdd); // Create the backedge value for the scalar pointer phi. VPBasicBlock *ExitingBB = Plan->getVectorLoopRegion()->getExitingBasicBlock(); Builder.setInsertPoint(ExitingBB, ExitingBB->getTerminator()->getIterator()); VF = Builder.createScalarZExtOrTrunc(VF, StepTy, TypeInfo.inferScalarType(VF), DL); VPValue *Inc = Builder.createOverflowingOp(Instruction::Mul, {Step, VF}); VPValue *InductionGEP = Builder.createPtrAdd(ScalarPtrPhi, Inc, DL, "ptr.ind"); ScalarPtrPhi->addOperand(InductionGEP); } /// Expand a VPDerivedIVRecipe into executable recipes. static void expandVPDerivedIV(VPDerivedIVRecipe *R, VPTypeAnalysis &TypeInfo) { VPBuilder Builder(R); VPIRValue *Start = R->getStartValue(); VPValue *Step = R->getStepValue(); VPValue *Index = R->getIndex(); Type *StepTy = TypeInfo.inferScalarType(Step); Type *IndexTy = TypeInfo.inferScalarType(Index); Index = StepTy->isIntegerTy() ? Builder.createScalarSExtOrTrunc( Index, StepTy, IndexTy, DebugLoc::getCompilerGenerated()) : Builder.createScalarCast(Instruction::SIToFP, Index, StepTy, DebugLoc::getCompilerGenerated()); switch (R->getInductionKind()) { case InductionDescriptor::IK_IntInduction: { assert(TypeInfo.inferScalarType(Index) == TypeInfo.inferScalarType(Start) && "Index type does not match StartValue type"); return R->replaceAllUsesWith(Builder.createAdd( Start, Builder.createOverflowingOp(Instruction::Mul, {Index, Step}))); } case InductionDescriptor::IK_PtrInduction: return R->replaceAllUsesWith(Builder.createPtrAdd( Start, Builder.createOverflowingOp(Instruction::Mul, {Index, Step}))); case InductionDescriptor::IK_FpInduction: { assert(StepTy->isFloatingPointTy() && "Expected FP Step value"); const FPMathOperator *FPBinOp = R->getFPBinOp(); assert(FPBinOp && (FPBinOp->getOpcode() == Instruction::FAdd || FPBinOp->getOpcode() == Instruction::FSub) && "Original BinOp should be defined for FP induction"); FastMathFlags FMF = FPBinOp->getFastMathFlags(); VPValue *FMul = Builder.createNaryOp(Instruction::FMul, {Step, Index}, FMF); return R->replaceAllUsesWith( Builder.createNaryOp(FPBinOp->getOpcode(), {Start, FMul}, FMF)); } case InductionDescriptor::IK_NoInduction: return; } llvm_unreachable("Unhandled induction kind"); } void VPlanTransforms::dissolveLoopRegions(VPlan &Plan) { // Replace loop regions with explicity CFG. SmallVector LoopRegions; for (VPRegionBlock *R : VPBlockUtils::blocksOnly( vp_depth_first_deep(Plan.getEntry()))) { if (!R->isReplicator()) LoopRegions.push_back(R); } for (VPRegionBlock *R : LoopRegions) R->dissolveToCFGLoop(); } void VPlanTransforms::expandBranchOnTwoConds(VPlan &Plan) { SmallVector WorkList; // The transform runs after dissolving loop regions, so all VPBasicBlocks // terminated with BranchOnTwoConds are reached via a shallow traversal. for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_shallow(Plan.getEntry()))) { if (!VPBB->empty() && match(&VPBB->back(), m_BranchOnTwoConds())) WorkList.push_back(cast(&VPBB->back())); } // Expand BranchOnTwoConds instructions into explicit CFG with two new // single-condition branches: // 1. A branch that replaces BranchOnTwoConds, jumps to the first successor if // the first condition is true, and otherwise jumps to a new interim block. // 2. A branch that ends the interim block, jumps to the second successor if // the second condition is true, and otherwise jumps to the third // successor. for (VPInstruction *Br : WorkList) { assert(Br->getNumOperands() == 2 && "BranchOnTwoConds must have exactly 2 conditions"); DebugLoc DL = Br->getDebugLoc(); VPBasicBlock *BrOnTwoCondsBB = Br->getParent(); const auto Successors = to_vector(BrOnTwoCondsBB->getSuccessors()); assert(Successors.size() == 3 && "BranchOnTwoConds must have exactly 3 successors"); for (VPBlockBase *Succ : Successors) VPBlockUtils::disconnectBlocks(BrOnTwoCondsBB, Succ); VPValue *Cond0 = Br->getOperand(0); VPValue *Cond1 = Br->getOperand(1); VPBlockBase *Succ0 = Successors[0]; VPBlockBase *Succ1 = Successors[1]; VPBlockBase *Succ2 = Successors[2]; assert(!Succ0->getParent() && !Succ1->getParent() && !Succ2->getParent() && !BrOnTwoCondsBB->getParent() && "regions must already be dissolved"); VPBasicBlock *InterimBB = Plan.createVPBasicBlock(BrOnTwoCondsBB->getName() + ".interim"); VPBuilder(BrOnTwoCondsBB) .createNaryOp(VPInstruction::BranchOnCond, {Cond0}, DL); VPBlockUtils::connectBlocks(BrOnTwoCondsBB, Succ0); VPBlockUtils::connectBlocks(BrOnTwoCondsBB, InterimBB); VPBuilder(InterimBB).createNaryOp(VPInstruction::BranchOnCond, {Cond1}, DL); VPBlockUtils::connectBlocks(InterimBB, Succ1); VPBlockUtils::connectBlocks(InterimBB, Succ2); Br->eraseFromParent(); } } void VPlanTransforms::convertToConcreteRecipes(VPlan &Plan) { VPTypeAnalysis TypeInfo(Plan); SmallVector ToRemove; for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_deep(Plan.getEntry()))) { for (VPRecipeBase &R : make_early_inc_range(*VPBB)) { if (auto *WidenIVR = dyn_cast(&R)) { expandVPWidenIntOrFpInduction(WidenIVR, TypeInfo); ToRemove.push_back(WidenIVR); continue; } if (auto *WidenIVR = dyn_cast(&R)) { // If the recipe only generates scalars, scalarize it instead of // expanding it. if (WidenIVR->onlyScalarsGenerated(Plan.hasScalableVF())) { VPBuilder Builder(WidenIVR); VPValue *PtrAdd = scalarizeVPWidenPointerInduction(WidenIVR, Plan, Builder); WidenIVR->replaceAllUsesWith(PtrAdd); ToRemove.push_back(WidenIVR); continue; } expandVPWidenPointerInduction(WidenIVR, TypeInfo); ToRemove.push_back(WidenIVR); continue; } if (auto *DerivedIVR = dyn_cast(&R)) { expandVPDerivedIV(DerivedIVR, TypeInfo); ToRemove.push_back(DerivedIVR); continue; } // Expand VPBlendRecipe into VPInstruction::Select. VPBuilder Builder(&R); if (auto *Blend = dyn_cast(&R)) { VPValue *Select = Blend->getIncomingValue(0); for (unsigned I = 1; I != Blend->getNumIncomingValues(); ++I) Select = Builder.createSelect(Blend->getMask(I), Blend->getIncomingValue(I), Select, R.getDebugLoc(), "predphi", *Blend); Blend->replaceAllUsesWith(Select); ToRemove.push_back(Blend); } if (auto *VEPR = dyn_cast(&R)) { if (!VEPR->getOffset()) { assert(Plan.getConcreteUF() == 1 && "Expected unroller to have materialized offset for UF != 1"); VEPR->materializeOffset(); } } if (auto *Expr = dyn_cast(&R)) { Expr->decompose(); ToRemove.push_back(Expr); } // Expand LastActiveLane into Not + FirstActiveLane + Sub. auto *LastActiveL = dyn_cast(&R); if (LastActiveL && LastActiveL->getOpcode() == VPInstruction::LastActiveLane) { // Create Not(Mask) for all operands. SmallVector NotMasks; for (VPValue *Op : LastActiveL->operands()) { VPValue *NotMask = Builder.createNot(Op, LastActiveL->getDebugLoc()); NotMasks.push_back(NotMask); } // Create FirstActiveLane on the inverted masks. VPValue *FirstInactiveLane = Builder.createNaryOp( VPInstruction::FirstActiveLane, NotMasks, LastActiveL->getDebugLoc(), "first.inactive.lane"); // Subtract 1 to get the last active lane. VPValue *One = Plan.getConstantInt(TypeInfo.inferScalarType(FirstInactiveLane), 1); VPValue *LastLane = Builder.createSub(FirstInactiveLane, One, LastActiveL->getDebugLoc(), "last.active.lane"); LastActiveL->replaceAllUsesWith(LastLane); ToRemove.push_back(LastActiveL); continue; } // Lower MaskedCond with block mask to LogicalAnd. if (match(&R, m_VPInstruction())) { auto *VPI = cast(&R); assert(VPI->isMasked() && "Unmasked MaskedCond should be simplified earlier"); VPI->replaceAllUsesWith(Builder.createNaryOp( VPInstruction::LogicalAnd, {VPI->getMask(), VPI->getOperand(0)})); ToRemove.push_back(VPI); continue; } // Lower CanonicalIVIncrementForPart to plain Add. if (match( &R, m_VPInstruction())) { auto *VPI = cast(&R); VPValue *Add = Builder.createOverflowingOp( Instruction::Add, VPI->operands(), VPI->getNoWrapFlags(), VPI->getDebugLoc()); VPI->replaceAllUsesWith(Add); ToRemove.push_back(VPI); continue; } // Lower BranchOnCount to ICmp + BranchOnCond. VPValue *IV, *TC; if (match(&R, m_BranchOnCount(m_VPValue(IV), m_VPValue(TC)))) { auto *BranchOnCountInst = cast(&R); DebugLoc DL = BranchOnCountInst->getDebugLoc(); VPValue *Cond = Builder.createICmp(CmpInst::ICMP_EQ, IV, TC, DL); Builder.createNaryOp(VPInstruction::BranchOnCond, Cond, DL); ToRemove.push_back(BranchOnCountInst); continue; } VPValue *VectorStep; VPValue *ScalarStep; if (!match(&R, m_VPInstruction( m_VPValue(VectorStep), m_VPValue(ScalarStep)))) continue; // Expand WideIVStep. auto *VPI = cast(&R); Type *IVTy = TypeInfo.inferScalarType(VPI); if (TypeInfo.inferScalarType(VectorStep) != IVTy) { Instruction::CastOps CastOp = IVTy->isFloatingPointTy() ? Instruction::UIToFP : Instruction::Trunc; VectorStep = Builder.createWidenCast(CastOp, VectorStep, IVTy); } assert(!match(ScalarStep, m_One()) && "Expected non-unit scalar-step"); if (TypeInfo.inferScalarType(ScalarStep) != IVTy) { ScalarStep = Builder.createWidenCast(Instruction::Trunc, ScalarStep, IVTy); } VPIRFlags Flags; unsigned MulOpc; if (IVTy->isFloatingPointTy()) { MulOpc = Instruction::FMul; Flags = VPI->getFastMathFlags(); } else { MulOpc = Instruction::Mul; Flags = VPIRFlags::getDefaultFlags(MulOpc); } VPInstruction *Mul = Builder.createNaryOp( MulOpc, {VectorStep, ScalarStep}, Flags, R.getDebugLoc()); VectorStep = Mul; VPI->replaceAllUsesWith(VectorStep); ToRemove.push_back(VPI); } } for (VPRecipeBase *R : ToRemove) R->eraseFromParent(); } void VPlanTransforms::handleUncountableEarlyExits(VPlan &Plan, VPBasicBlock *HeaderVPBB, VPBasicBlock *LatchVPBB, VPBasicBlock *MiddleVPBB, UncountableExitStyle Style) { struct EarlyExitInfo { VPBasicBlock *EarlyExitingVPBB; VPIRBasicBlock *EarlyExitVPBB; VPValue *CondToExit; }; VPDominatorTree VPDT(Plan); VPBuilder Builder(LatchVPBB->getTerminator()); SmallVector Exits; for (VPIRBasicBlock *ExitBlock : Plan.getExitBlocks()) { for (VPBlockBase *Pred : to_vector(ExitBlock->getPredecessors())) { if (Pred == MiddleVPBB) continue; // Collect condition for this early exit. auto *EarlyExitingVPBB = cast(Pred); VPBlockBase *TrueSucc = EarlyExitingVPBB->getSuccessors()[0]; VPValue *CondOfEarlyExitingVPBB; [[maybe_unused]] bool Matched = match(EarlyExitingVPBB->getTerminator(), m_BranchOnCond(m_VPValue(CondOfEarlyExitingVPBB))); assert(Matched && "Terminator must be BranchOnCond"); // Insert the MaskedCond in the EarlyExitingVPBB so the predicator adds // the correct block mask. VPBuilder EarlyExitingBuilder(EarlyExitingVPBB->getTerminator()); auto *CondToEarlyExit = EarlyExitingBuilder.createNaryOp( VPInstruction::MaskedCond, TrueSucc == ExitBlock ? CondOfEarlyExitingVPBB : EarlyExitingBuilder.createNot(CondOfEarlyExitingVPBB)); assert((isa(CondOfEarlyExitingVPBB) || !VPDT.properlyDominates(EarlyExitingVPBB, LatchVPBB) || VPDT.properlyDominates( CondOfEarlyExitingVPBB->getDefiningRecipe()->getParent(), LatchVPBB)) && "exit condition must dominate the latch"); Exits.push_back({ EarlyExitingVPBB, ExitBlock, CondToEarlyExit, }); } } assert(!Exits.empty() && "must have at least one early exit"); // Sort exits by RPO order to get correct program order. RPO gives a // topological ordering of the CFG, ensuring upstream exits are checked // before downstream exits in the dispatch chain. ReversePostOrderTraversal> RPOT( HeaderVPBB); DenseMap RPOIdx; for (const auto &[Num, VPB] : enumerate(RPOT)) RPOIdx[VPB] = Num; llvm::sort(Exits, [&RPOIdx](const EarlyExitInfo &A, const EarlyExitInfo &B) { return RPOIdx[A.EarlyExitingVPBB] < RPOIdx[B.EarlyExitingVPBB]; }); #ifndef NDEBUG // After RPO sorting, verify that for any pair where one exit dominates // another, the dominating exit comes first. This is guaranteed by RPO // (topological order) and is required for the dispatch chain correctness. for (unsigned I = 0; I + 1 < Exits.size(); ++I) for (unsigned J = I + 1; J < Exits.size(); ++J) assert(!VPDT.properlyDominates(Exits[J].EarlyExitingVPBB, Exits[I].EarlyExitingVPBB) && "RPO sort must place dominating exits before dominated ones"); #endif // Build the AnyOf condition for the latch terminator using logical OR // to avoid poison propagation from later exit conditions when an earlier // exit is taken. VPValue *Combined = Exits[0].CondToExit; for (const EarlyExitInfo &Info : drop_begin(Exits)) Combined = Builder.createLogicalOr(Combined, Info.CondToExit); VPValue *IsAnyExitTaken = Builder.createNaryOp(VPInstruction::AnyOf, {Combined}); assert(Style == UncountableExitStyle::ReadOnly && "Early exit store masking not implemented"); // Create the vector.early.exit blocks. SmallVector VectorEarlyExitVPBBs(Exits.size()); for (unsigned Idx = 0; Idx != Exits.size(); ++Idx) { Twine BlockSuffix = Exits.size() == 1 ? "" : Twine(".") + Twine(Idx); VPBasicBlock *VectorEarlyExitVPBB = Plan.createVPBasicBlock("vector.early.exit" + BlockSuffix); VectorEarlyExitVPBBs[Idx] = VectorEarlyExitVPBB; } // Create the dispatch block (or reuse the single exit block if only one // exit). The dispatch block computes the first active lane of the combined // condition and, for multiple exits, chains through conditions to determine // which exit to take. VPBasicBlock *DispatchVPBB = Exits.size() == 1 ? VectorEarlyExitVPBBs[0] : Plan.createVPBasicBlock("vector.early.exit.check"); VPBuilder DispatchBuilder(DispatchVPBB, DispatchVPBB->begin()); VPValue *FirstActiveLane = DispatchBuilder.createNaryOp(VPInstruction::FirstActiveLane, {Combined}, DebugLoc::getUnknown(), "first.active.lane"); // For each early exit, disconnect the original exiting block // (early.exiting.I) from the exit block (ir-bb) and route through a // new vector.early.exit block. Update ir-bb's phis to extract their // values at the first active lane: // // Input: // early.exiting.I: // ... // EMIT branch-on-cond vp<%cond.I> // Successor(s): in.loop.succ, ir-bb // // ir-bb: // IR %phi = phi [ vp<%incoming.I>, early.exiting.I ], ... // // Output: // early.exiting.I: // ... // Successor(s): in.loop.succ // // vector.early.exit.I: // EMIT vp<%exit.val> = extract-lane vp<%first.lane>, vp<%incoming.I> // Successor(s): ir-bb // // ir-bb: // IR %phi = phi ... (extra operand: vp<%exit.val> from // vector.early.exit.I) // for (auto [Exit, VectorEarlyExitVPBB] : zip_equal(Exits, VectorEarlyExitVPBBs)) { auto &[EarlyExitingVPBB, EarlyExitVPBB, _] = Exit; // Adjust the phi nodes in EarlyExitVPBB. // 1. remove incoming values from EarlyExitingVPBB, // 2. extract the incoming value at FirstActiveLane // 3. add back the extracts as last operands for the phis // Then adjust the CFG, removing the edge between EarlyExitingVPBB and // EarlyExitVPBB and adding a new edge between VectorEarlyExitVPBB and // EarlyExitVPBB. The extracts at FirstActiveLane are now the incoming // values from VectorEarlyExitVPBB. for (VPRecipeBase &R : EarlyExitVPBB->phis()) { auto *ExitIRI = cast(&R); VPValue *IncomingVal = ExitIRI->getIncomingValueForBlock(EarlyExitingVPBB); VPValue *NewIncoming = IncomingVal; if (!isa(IncomingVal)) { VPBuilder EarlyExitBuilder(VectorEarlyExitVPBB); NewIncoming = EarlyExitBuilder.createNaryOp( VPInstruction::ExtractLane, {FirstActiveLane, IncomingVal}, DebugLoc::getUnknown(), "early.exit.value"); } ExitIRI->removeIncomingValueFor(EarlyExitingVPBB); ExitIRI->addOperand(NewIncoming); } EarlyExitingVPBB->getTerminator()->eraseFromParent(); VPBlockUtils::disconnectBlocks(EarlyExitingVPBB, EarlyExitVPBB); VPBlockUtils::connectBlocks(VectorEarlyExitVPBB, EarlyExitVPBB); } // Chain through exits: for each exit, check if its condition is true at // the first active lane. If so, take that exit; otherwise, try the next. // The last exit needs no check since it must be taken if all others fail. // // For 3 exits (cond.0, cond.1, cond.2), this creates: // // latch: // ... // EMIT vp<%combined> = logical-or vp<%cond.0>, vp<%cond.1>, vp<%cond.2> // ... // // vector.early.exit.check: // EMIT vp<%first.lane> = first-active-lane vp<%combined> // EMIT vp<%at.cond.0> = extract-lane vp<%first.lane>, vp<%cond.0> // EMIT branch-on-cond vp<%at.cond.0> // Successor(s): vector.early.exit.0, vector.early.exit.check.0 // // vector.early.exit.check.0: // EMIT vp<%at.cond.1> = extract-lane vp<%first.lane>, vp<%cond.1> // EMIT branch-on-cond vp<%at.cond.1> // Successor(s): vector.early.exit.1, vector.early.exit.2 VPBasicBlock *CurrentBB = DispatchVPBB; for (auto [I, Exit] : enumerate(ArrayRef(Exits).drop_back())) { VPValue *LaneVal = DispatchBuilder.createNaryOp( VPInstruction::ExtractLane, {FirstActiveLane, Exit.CondToExit}, DebugLoc::getUnknown(), "exit.cond.at.lane"); // For the last dispatch, branch directly to the last exit on false; // otherwise, create a new check block. bool IsLastDispatch = (I + 2 == Exits.size()); VPBasicBlock *FalseBB = IsLastDispatch ? VectorEarlyExitVPBBs.back() : Plan.createVPBasicBlock( Twine("vector.early.exit.check.") + Twine(I)); DispatchBuilder.createNaryOp(VPInstruction::BranchOnCond, {LaneVal}); CurrentBB->setSuccessors({VectorEarlyExitVPBBs[I], FalseBB}); VectorEarlyExitVPBBs[I]->setPredecessors({CurrentBB}); FalseBB->setPredecessors({CurrentBB}); CurrentBB = FalseBB; DispatchBuilder.setInsertPoint(CurrentBB); } // Replace the latch terminator with the new branching logic. auto *LatchExitingBranch = cast(LatchVPBB->getTerminator()); assert(LatchExitingBranch->getOpcode() == VPInstruction::BranchOnCount && "Unexpected terminator"); auto *IsLatchExitTaken = Builder.createICmp(CmpInst::ICMP_EQ, LatchExitingBranch->getOperand(0), LatchExitingBranch->getOperand(1)); DebugLoc LatchDL = LatchExitingBranch->getDebugLoc(); LatchExitingBranch->eraseFromParent(); Builder.setInsertPoint(LatchVPBB); Builder.createNaryOp(VPInstruction::BranchOnTwoConds, {IsAnyExitTaken, IsLatchExitTaken}, LatchDL); LatchVPBB->clearSuccessors(); LatchVPBB->setSuccessors({DispatchVPBB, MiddleVPBB, HeaderVPBB}); DispatchVPBB->setPredecessors({LatchVPBB}); } /// This function tries convert extended in-loop reductions to /// VPExpressionRecipe and clamp the \p Range if it is beneficial and /// valid. The created recipe must be decomposed to its constituent /// recipes before execution. static VPExpressionRecipe * tryToMatchAndCreateExtendedReduction(VPReductionRecipe *Red, VPCostContext &Ctx, VFRange &Range) { Type *RedTy = Ctx.Types.inferScalarType(Red); VPValue *VecOp = Red->getVecOp(); assert(!Red->isPartialReduction() && "This path does not support partial reductions"); // Clamp the range if using extended-reduction is profitable. auto IsExtendedRedValidAndClampRange = [&](unsigned Opcode, Instruction::CastOps ExtOpc, Type *SrcTy) -> bool { return LoopVectorizationPlanner::getDecisionAndClampRange( [&](ElementCount VF) { auto *SrcVecTy = cast(toVectorTy(SrcTy, VF)); TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput; InstructionCost ExtRedCost = InstructionCost::getInvalid(); InstructionCost ExtCost = cast(VecOp)->computeCost(VF, Ctx); InstructionCost RedCost = Red->computeCost(VF, Ctx); assert(!RedTy->isFloatingPointTy() && "getExtendedReductionCost only supports integer types"); ExtRedCost = Ctx.TTI.getExtendedReductionCost( Opcode, ExtOpc == Instruction::CastOps::ZExt, RedTy, SrcVecTy, Red->getFastMathFlags(), CostKind); return ExtRedCost.isValid() && ExtRedCost < ExtCost + RedCost; }, Range); }; VPValue *A; // Match reduce(ext)). if (match(VecOp, m_Isa(m_ZExtOrSExt(m_VPValue(A)))) && IsExtendedRedValidAndClampRange( RecurrenceDescriptor::getOpcode(Red->getRecurrenceKind()), cast(VecOp)->getOpcode(), Ctx.Types.inferScalarType(A))) return new VPExpressionRecipe(cast(VecOp), Red); return nullptr; } /// This function tries convert extended in-loop reductions to /// VPExpressionRecipe and clamp the \p Range if it is beneficial /// and valid. The created VPExpressionRecipe must be decomposed to its /// constituent recipes before execution. Patterns of the /// VPExpressionRecipe: /// reduce.add(mul(...)), /// reduce.add(mul(ext(A), ext(B))), /// reduce.add(ext(mul(ext(A), ext(B)))). /// reduce.fadd(fmul(ext(A), ext(B))) static VPExpressionRecipe * tryToMatchAndCreateMulAccumulateReduction(VPReductionRecipe *Red, VPCostContext &Ctx, VFRange &Range) { unsigned Opcode = RecurrenceDescriptor::getOpcode(Red->getRecurrenceKind()); if (Opcode != Instruction::Add && Opcode != Instruction::Sub && Opcode != Instruction::FAdd) return nullptr; assert(!Red->isPartialReduction() && "This path does not support partial reductions"); Type *RedTy = Ctx.Types.inferScalarType(Red); // Clamp the range if using multiply-accumulate-reduction is profitable. auto IsMulAccValidAndClampRange = [&](VPWidenRecipe *Mul, VPWidenCastRecipe *Ext0, VPWidenCastRecipe *Ext1, VPWidenCastRecipe *OuterExt) -> bool { return LoopVectorizationPlanner::getDecisionAndClampRange( [&](ElementCount VF) { TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput; Type *SrcTy = Ext0 ? Ctx.Types.inferScalarType(Ext0->getOperand(0)) : RedTy; InstructionCost MulAccCost; // getMulAccReductionCost for in-loop reductions does not support // mixed or floating-point extends. if (Ext0 && Ext1 && (Ext0->getOpcode() != Ext1->getOpcode() || Ext0->getOpcode() == Instruction::CastOps::FPExt)) return false; bool IsZExt = !Ext0 || Ext0->getOpcode() == Instruction::CastOps::ZExt; auto *SrcVecTy = cast(toVectorTy(SrcTy, VF)); MulAccCost = Ctx.TTI.getMulAccReductionCost(IsZExt, Opcode, RedTy, SrcVecTy, CostKind); InstructionCost MulCost = Mul->computeCost(VF, Ctx); InstructionCost RedCost = Red->computeCost(VF, Ctx); InstructionCost ExtCost = 0; if (Ext0) ExtCost += Ext0->computeCost(VF, Ctx); if (Ext1) ExtCost += Ext1->computeCost(VF, Ctx); if (OuterExt) ExtCost += OuterExt->computeCost(VF, Ctx); return MulAccCost.isValid() && MulAccCost < ExtCost + MulCost + RedCost; }, Range); }; VPValue *VecOp = Red->getVecOp(); VPRecipeBase *Sub = nullptr; VPValue *A, *B; VPValue *Tmp = nullptr; if (RedTy->isFloatingPointTy()) return nullptr; // Sub reductions could have a sub between the add reduction and vec op. if (match(VecOp, m_Sub(m_ZeroInt(), m_VPValue(Tmp)))) { Sub = VecOp->getDefiningRecipe(); VecOp = Tmp; } // If ValB is a constant and can be safely extended, truncate it to the same // type as ExtA's operand, then extend it to the same type as ExtA. This // creates two uniform extends that can more easily be matched by the rest of // the bundling code. The ExtB reference, ValB and operand 1 of Mul are all // replaced with the new extend of the constant. auto ExtendAndReplaceConstantOp = [&Ctx](VPWidenCastRecipe *ExtA, VPWidenCastRecipe *&ExtB, VPValue *&ValB, VPWidenRecipe *Mul) { if (!ExtA || ExtB || !isa(ValB)) return; Type *NarrowTy = Ctx.Types.inferScalarType(ExtA->getOperand(0)); Instruction::CastOps ExtOpc = ExtA->getOpcode(); const APInt *Const; if (!match(ValB, m_APInt(Const)) || !llvm::canConstantBeExtended( Const, NarrowTy, TTI::getPartialReductionExtendKind(ExtOpc))) return; // The truncate ensures that the type of each extended operand is the // same, and it's been proven that the constant can be extended from // NarrowTy safely. Necessary since ExtA's extended operand would be // e.g. an i8, while the const will likely be an i32. This will be // elided by later optimisations. VPBuilder Builder(Mul); auto *Trunc = Builder.createWidenCast(Instruction::CastOps::Trunc, ValB, NarrowTy); Type *WideTy = Ctx.Types.inferScalarType(ExtA); ValB = ExtB = Builder.createWidenCast(ExtOpc, Trunc, WideTy); Mul->setOperand(1, ExtB); }; // Try to match reduce.add(mul(...)). if (match(VecOp, m_Mul(m_VPValue(A), m_VPValue(B)))) { auto *RecipeA = dyn_cast(A); auto *RecipeB = dyn_cast(B); auto *Mul = cast(VecOp); // Convert reduce.add(mul(ext, const)) to reduce.add(mul(ext, ext(const))) ExtendAndReplaceConstantOp(RecipeA, RecipeB, B, Mul); // Match reduce.add/sub(mul(ext, ext)). if (RecipeA && RecipeB && match(RecipeA, m_ZExtOrSExt(m_VPValue())) && match(RecipeB, m_ZExtOrSExt(m_VPValue())) && IsMulAccValidAndClampRange(Mul, RecipeA, RecipeB, nullptr)) { if (Sub) return new VPExpressionRecipe(RecipeA, RecipeB, Mul, cast(Sub), Red); return new VPExpressionRecipe(RecipeA, RecipeB, Mul, Red); } // TODO: Add an expression type for this variant with a negated mul if (!Sub && IsMulAccValidAndClampRange(Mul, nullptr, nullptr, nullptr)) return new VPExpressionRecipe(Mul, Red); } // TODO: Add an expression type for negated versions of other expression // variants. if (Sub) return nullptr; // Match reduce.add(ext(mul(A, B))). if (match(VecOp, m_ZExtOrSExt(m_Mul(m_VPValue(A), m_VPValue(B))))) { auto *Ext = cast(VecOp); auto *Mul = cast(Ext->getOperand(0)); auto *Ext0 = dyn_cast(A); auto *Ext1 = dyn_cast(B); // reduce.add(ext(mul(ext, const))) // -> reduce.add(ext(mul(ext, ext(const)))) ExtendAndReplaceConstantOp(Ext0, Ext1, B, Mul); // reduce.add(ext(mul(ext(A), ext(B)))) // -> reduce.add(mul(wider_ext(A), wider_ext(B))) // The inner extends must either have the same opcode as the outer extend or // be the same, in which case the multiply can never result in a negative // value and the outer extend can be folded away by doing wider // extends for the operands of the mul. if (Ext0 && Ext1 && (Ext->getOpcode() == Ext0->getOpcode() || Ext0 == Ext1) && Ext0->getOpcode() == Ext1->getOpcode() && IsMulAccValidAndClampRange(Mul, Ext0, Ext1, Ext) && Mul->hasOneUse()) { auto *NewExt0 = new VPWidenCastRecipe( Ext0->getOpcode(), Ext0->getOperand(0), Ext->getResultType(), nullptr, *Ext0, *Ext0, Ext0->getDebugLoc()); NewExt0->insertBefore(Ext0); VPWidenCastRecipe *NewExt1 = NewExt0; if (Ext0 != Ext1) { NewExt1 = new VPWidenCastRecipe(Ext1->getOpcode(), Ext1->getOperand(0), Ext->getResultType(), nullptr, *Ext1, *Ext1, Ext1->getDebugLoc()); NewExt1->insertBefore(Ext1); } Mul->setOperand(0, NewExt0); Mul->setOperand(1, NewExt1); Red->setOperand(1, Mul); return new VPExpressionRecipe(NewExt0, NewExt1, Mul, Red); } } return nullptr; } /// This function tries to create abstract recipes from the reduction recipe for /// following optimizations and cost estimation. static void tryToCreateAbstractReductionRecipe(VPReductionRecipe *Red, VPCostContext &Ctx, VFRange &Range) { // Creation of VPExpressions for partial reductions is entirely handled in // transformToPartialReduction. assert(!Red->isPartialReduction() && "This path does not support partial reductions"); VPExpressionRecipe *AbstractR = nullptr; auto IP = std::next(Red->getIterator()); auto *VPBB = Red->getParent(); if (auto *MulAcc = tryToMatchAndCreateMulAccumulateReduction(Red, Ctx, Range)) AbstractR = MulAcc; else if (auto *ExtRed = tryToMatchAndCreateExtendedReduction(Red, Ctx, Range)) AbstractR = ExtRed; // Cannot create abstract inloop reduction recipes. if (!AbstractR) return; AbstractR->insertBefore(*VPBB, IP); Red->replaceAllUsesWith(AbstractR); } void VPlanTransforms::convertToAbstractRecipes(VPlan &Plan, VPCostContext &Ctx, VFRange &Range) { for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_deep(Plan.getVectorLoopRegion()))) { for (VPRecipeBase &R : make_early_inc_range(*VPBB)) { if (auto *Red = dyn_cast(&R)) tryToCreateAbstractReductionRecipe(Red, Ctx, Range); } } } void VPlanTransforms::materializeBroadcasts(VPlan &Plan) { if (Plan.hasScalarVFOnly()) return; #ifndef NDEBUG VPDominatorTree VPDT(Plan); #endif SmallVector VPValues; if (VPValue *BTC = Plan.getBackedgeTakenCount()) VPValues.push_back(BTC); append_range(VPValues, Plan.getLiveIns()); for (VPRecipeBase &R : *Plan.getEntry()) append_range(VPValues, R.definedValues()); auto *VectorPreheader = Plan.getVectorPreheader(); for (VPValue *VPV : VPValues) { if (vputils::onlyScalarValuesUsed(VPV) || (isa(VPV) && isa(VPV->getLiveInIRValue()))) continue; // Add explicit broadcast at the insert point that dominates all users. VPBasicBlock *HoistBlock = VectorPreheader; VPBasicBlock::iterator HoistPoint = VectorPreheader->end(); for (VPUser *User : VPV->users()) { if (User->usesScalars(VPV)) continue; if (cast(User)->getParent() == VectorPreheader) HoistPoint = HoistBlock->begin(); else assert(VPDT.dominates(VectorPreheader, cast(User)->getParent()) && "All users must be in the vector preheader or dominated by it"); } VPBuilder Builder(cast(HoistBlock), HoistPoint); auto *Broadcast = Builder.createNaryOp(VPInstruction::Broadcast, {VPV}); VPV->replaceUsesWithIf(Broadcast, [VPV, Broadcast](VPUser &U, unsigned Idx) { return Broadcast != &U && !U.usesScalars(VPV); }); } } void VPlanTransforms::hoistInvariantLoads(VPlan &Plan) { VPRegionBlock *LoopRegion = Plan.getVectorLoopRegion(); // Collect candidate loads with invariant addresses and noalias scopes // metadata and memory-writing recipes with noalias metadata. SmallVector> CandidateLoads; SmallVector Stores; for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly( vp_depth_first_shallow(LoopRegion->getEntry()))) { for (VPRecipeBase &R : *VPBB) { // Only handle single-scalar replicated loads with invariant addresses. if (auto *RepR = dyn_cast(&R)) { if (RepR->isPredicated() || !RepR->isSingleScalar() || RepR->getOpcode() != Instruction::Load) continue; VPValue *Addr = RepR->getOperand(0); if (Addr->isDefinedOutsideLoopRegions()) { MemoryLocation Loc = *vputils::getMemoryLocation(*RepR); if (!Loc.AATags.Scope) continue; CandidateLoads.push_back({RepR, Loc}); } } if (R.mayWriteToMemory()) { auto Loc = vputils::getMemoryLocation(R); if (!Loc || !Loc->AATags.Scope || !Loc->AATags.NoAlias) return; Stores.push_back(*Loc); } } } VPBasicBlock *Preheader = Plan.getVectorPreheader(); for (auto &[LoadRecipe, LoadLoc] : CandidateLoads) { // Hoist the load to the preheader if it doesn't alias with any stores // according to the noalias metadata. Other loads should have been hoisted // by other passes const AAMDNodes &LoadAA = LoadLoc.AATags; if (all_of(Stores, [&](const MemoryLocation &StoreLoc) { return !ScopedNoAliasAAResult::mayAliasInScopes( LoadAA.Scope, StoreLoc.AATags.NoAlias); })) { LoadRecipe->moveBefore(*Preheader, Preheader->getFirstNonPhi()); } } } // Collect common metadata from a group of replicate recipes by intersecting // metadata from all recipes in the group. static VPIRMetadata getCommonMetadata(ArrayRef Recipes) { VPIRMetadata CommonMetadata = *Recipes.front(); for (VPReplicateRecipe *Recipe : drop_begin(Recipes)) CommonMetadata.intersect(*Recipe); return CommonMetadata; } template static SmallVector> collectComplementaryPredicatedMemOps(VPlan &Plan, PredicatedScalarEvolution &PSE, const Loop *L) { static_assert(Opcode == Instruction::Load || Opcode == Instruction::Store, "Only Load and Store opcodes supported"); constexpr bool IsLoad = (Opcode == Instruction::Load); VPTypeAnalysis TypeInfo(Plan); // For each address, collect operations with the same or complementary masks. SmallVector> AllGroups; auto GetLoadStoreValueType = [&](VPReplicateRecipe *Recipe) { return TypeInfo.inferScalarType(IsLoad ? Recipe : Recipe->getOperand(0)); }; auto Groups = collectGroupedReplicateMemOps( Plan, PSE, L, [](VPReplicateRecipe *RepR) { return RepR->isPredicated(); }); for (auto Recipes : Groups) { if (Recipes.size() < 2) continue; // Collect groups with the same or complementary masks. for (VPReplicateRecipe *&RecipeI : Recipes) { if (!RecipeI) continue; VPValue *MaskI = RecipeI->getMask(); Type *TypeI = GetLoadStoreValueType(RecipeI); SmallVector Group; Group.push_back(RecipeI); RecipeI = nullptr; // Find all operations with the same or complementary masks. bool HasComplementaryMask = false; for (VPReplicateRecipe *&RecipeJ : Recipes) { if (!RecipeJ) continue; VPValue *MaskJ = RecipeJ->getMask(); Type *TypeJ = GetLoadStoreValueType(RecipeJ); if (TypeI == TypeJ) { // Check if any operation in the group has a complementary mask with // another, that is M1 == NOT(M2) or M2 == NOT(M1). HasComplementaryMask |= match(MaskI, m_Not(m_Specific(MaskJ))) || match(MaskJ, m_Not(m_Specific(MaskI))); Group.push_back(RecipeJ); RecipeJ = nullptr; } } if (HasComplementaryMask) { assert(Group.size() >= 2 && "must have at least 2 entries"); AllGroups.push_back(std::move(Group)); } } } return AllGroups; } // Find the recipe with minimum alignment in the group. template static VPReplicateRecipe * findRecipeWithMinAlign(ArrayRef Group) { return *min_element(Group, [](VPReplicateRecipe *A, VPReplicateRecipe *B) { return cast(A->getUnderlyingInstr())->getAlign() < cast(B->getUnderlyingInstr())->getAlign(); }); } void VPlanTransforms::hoistPredicatedLoads(VPlan &Plan, PredicatedScalarEvolution &PSE, const Loop *L) { auto Groups = collectComplementaryPredicatedMemOps(Plan, PSE, L); if (Groups.empty()) return; // Process each group of loads. for (auto &Group : Groups) { // Try to use the earliest (most dominating) load to replace all others. VPReplicateRecipe *EarliestLoad = Group[0]; VPBasicBlock *FirstBB = EarliestLoad->getParent(); VPBasicBlock *LastBB = Group.back()->getParent(); // Check that the load doesn't alias with stores between first and last. auto LoadLoc = vputils::getMemoryLocation(*EarliestLoad); if (!LoadLoc || !canHoistOrSinkWithNoAliasCheck(*LoadLoc, FirstBB, LastBB)) continue; // Collect common metadata from all loads in the group. VPIRMetadata CommonMetadata = getCommonMetadata(Group); // Find the load with minimum alignment to use. auto *LoadWithMinAlign = findRecipeWithMinAlign(Group); bool IsSingleScalar = EarliestLoad->isSingleScalar(); assert(all_of(Group, [IsSingleScalar](VPReplicateRecipe *R) { return R->isSingleScalar() == IsSingleScalar; }) && "all members in group must agree on IsSingleScalar"); // Create an unpredicated version of the earliest load with common // metadata. auto *UnpredicatedLoad = new VPReplicateRecipe( LoadWithMinAlign->getUnderlyingInstr(), {EarliestLoad->getOperand(0)}, IsSingleScalar, /*Mask=*/nullptr, *EarliestLoad, CommonMetadata); UnpredicatedLoad->insertBefore(EarliestLoad); // Replace all loads in the group with the unpredicated load. for (VPReplicateRecipe *Load : Group) { Load->replaceAllUsesWith(UnpredicatedLoad); Load->eraseFromParent(); } } } static bool canSinkStoreWithNoAliasCheck(ArrayRef StoresToSink, PredicatedScalarEvolution &PSE, const Loop &L, VPTypeAnalysis &TypeInfo) { auto StoreLoc = vputils::getMemoryLocation(*StoresToSink.front()); if (!StoreLoc || !StoreLoc->AATags.Scope) return false; // When sinking a group of stores, all members of the group alias each other. // Skip them during the alias checks. SmallPtrSet StoresToSinkSet(StoresToSink.begin(), StoresToSink.end()); VPBasicBlock *FirstBB = StoresToSink.front()->getParent(); VPBasicBlock *LastBB = StoresToSink.back()->getParent(); SinkStoreInfo SinkInfo(StoresToSinkSet, *StoresToSink[0], PSE, L, TypeInfo); return canHoistOrSinkWithNoAliasCheck(*StoreLoc, FirstBB, LastBB, SinkInfo); } void VPlanTransforms::sinkPredicatedStores(VPlan &Plan, PredicatedScalarEvolution &PSE, const Loop *L) { auto Groups = collectComplementaryPredicatedMemOps(Plan, PSE, L); if (Groups.empty()) return; VPTypeAnalysis TypeInfo(Plan); for (auto &Group : Groups) { if (!canSinkStoreWithNoAliasCheck(Group, PSE, *L, TypeInfo)) continue; // Use the last (most dominated) store's location for the unconditional // store. VPReplicateRecipe *LastStore = Group.back(); VPBasicBlock *InsertBB = LastStore->getParent(); // Collect common alias metadata from all stores in the group. VPIRMetadata CommonMetadata = getCommonMetadata(Group); // Build select chain for stored values. VPValue *SelectedValue = Group[0]->getOperand(0); VPBuilder Builder(InsertBB, LastStore->getIterator()); bool IsSingleScalar = Group[0]->isSingleScalar(); for (unsigned I = 1; I < Group.size(); ++I) { assert(IsSingleScalar == Group[I]->isSingleScalar() && "all members in group must agree on IsSingleScalar"); VPValue *Mask = Group[I]->getMask(); VPValue *Value = Group[I]->getOperand(0); SelectedValue = Builder.createSelect(Mask, Value, SelectedValue, Group[I]->getDebugLoc()); } // Find the store with minimum alignment to use. auto *StoreWithMinAlign = findRecipeWithMinAlign(Group); // Create unconditional store with selected value and common metadata. auto *UnpredicatedStore = new VPReplicateRecipe( StoreWithMinAlign->getUnderlyingInstr(), {SelectedValue, LastStore->getOperand(1)}, IsSingleScalar, /*Mask=*/nullptr, *LastStore, CommonMetadata); UnpredicatedStore->insertBefore(*InsertBB, LastStore->getIterator()); // Remove all predicated stores from the group. for (VPReplicateRecipe *Store : Group) Store->eraseFromParent(); } } void VPlanTransforms::materializeConstantVectorTripCount( VPlan &Plan, ElementCount BestVF, unsigned BestUF, PredicatedScalarEvolution &PSE) { assert(Plan.hasVF(BestVF) && "BestVF is not available in Plan"); assert(Plan.hasUF(BestUF) && "BestUF is not available in Plan"); VPValue *TC = Plan.getTripCount(); if (TC->getNumUsers() == 0) return; // Skip cases for which the trip count may be non-trivial to materialize. // I.e., when a scalar tail is absent - due to tail folding, or when a scalar // tail is required. if (!Plan.hasScalarTail() || Plan.getMiddleBlock()->getSingleSuccessor() == Plan.getScalarPreheader() || !isa(TC)) return; // Materialize vector trip counts for constants early if it can simply // be computed as (Original TC / VF * UF) * VF * UF. // TODO: Compute vector trip counts for loops requiring a scalar epilogue and // tail-folded loops. ScalarEvolution &SE = *PSE.getSE(); auto *TCScev = SE.getSCEV(TC->getLiveInIRValue()); if (!isa(TCScev)) return; const SCEV *VFxUF = SE.getElementCount(TCScev->getType(), BestVF * BestUF); auto VecTCScev = SE.getMulExpr(SE.getUDivExpr(TCScev, VFxUF), VFxUF); if (auto *ConstVecTC = dyn_cast(VecTCScev)) Plan.getVectorTripCount().setUnderlyingValue(ConstVecTC->getValue()); } void VPlanTransforms::materializeBackedgeTakenCount(VPlan &Plan, VPBasicBlock *VectorPH) { VPValue *BTC = Plan.getOrCreateBackedgeTakenCount(); if (BTC->getNumUsers() == 0) return; VPBuilder Builder(VectorPH, VectorPH->begin()); auto *TCTy = VPTypeAnalysis(Plan).inferScalarType(Plan.getTripCount()); auto *TCMO = Builder.createSub(Plan.getTripCount(), Plan.getConstantInt(TCTy, 1), DebugLoc::getCompilerGenerated(), "trip.count.minus.1"); BTC->replaceAllUsesWith(TCMO); } void VPlanTransforms::materializePacksAndUnpacks(VPlan &Plan) { if (Plan.hasScalarVFOnly()) return; VPTypeAnalysis TypeInfo(Plan); VPRegionBlock *LoopRegion = Plan.getVectorLoopRegion(); auto VPBBsOutsideLoopRegion = VPBlockUtils::blocksOnly( vp_depth_first_shallow(Plan.getEntry())); auto VPBBsInsideLoopRegion = VPBlockUtils::blocksOnly( vp_depth_first_shallow(LoopRegion->getEntry())); // Materialize Build(Struct)Vector for all replicating VPReplicateRecipes, // VPScalarIVStepsRecipe and VPInstructions, excluding ones in replicate // regions. Those are not materialized explicitly yet. Those vector users are // still handled in VPReplicateRegion::execute(), via shouldPack(). // TODO: materialize build vectors for replicating recipes in replicating // regions. for (VPBasicBlock *VPBB : concat(VPBBsOutsideLoopRegion, VPBBsInsideLoopRegion)) { for (VPRecipeBase &R : make_early_inc_range(*VPBB)) { if (!isa(&R)) continue; auto *DefR = cast(&R); auto UsesVectorOrInsideReplicateRegion = [DefR, LoopRegion](VPUser *U) { VPRegionBlock *ParentRegion = cast(U)->getRegion(); return !U->usesScalars(DefR) || ParentRegion != LoopRegion; }; if ((isa(DefR) && cast(DefR)->isSingleScalar()) || (isa(DefR) && (vputils::onlyFirstLaneUsed(DefR) || !cast(DefR)->doesGeneratePerAllLanes())) || none_of(DefR->users(), UsesVectorOrInsideReplicateRegion)) continue; Type *ScalarTy = TypeInfo.inferScalarType(DefR); unsigned Opcode = ScalarTy->isStructTy() ? VPInstruction::BuildStructVector : VPInstruction::BuildVector; auto *BuildVector = new VPInstruction(Opcode, {DefR}); BuildVector->insertAfter(DefR); DefR->replaceUsesWithIf( BuildVector, [BuildVector, &UsesVectorOrInsideReplicateRegion]( VPUser &U, unsigned) { return &U != BuildVector && UsesVectorOrInsideReplicateRegion(&U); }); } } // Create explicit VPInstructions to convert vectors to scalars. The current // implementation is conservative - it may miss some cases that may or may not // be vector values. TODO: introduce Unpacks speculatively - remove them later // if they are known to operate on scalar values. for (VPBasicBlock *VPBB : VPBBsInsideLoopRegion) { for (VPRecipeBase &R : make_early_inc_range(*VPBB)) { if (isa(&R)) continue; for (VPValue *Def : R.definedValues()) { // Skip recipes that are single-scalar or only have their first lane // used. // TODO: The Defs skipped here may or may not be vector values. // Introduce Unpacks, and remove them later, if they are guaranteed to // produce scalar values. if (vputils::isSingleScalar(Def) || vputils::onlyFirstLaneUsed(Def)) continue; // At the moment, we create unpacks only for scalar users outside // replicate regions. Recipes inside replicate regions still extract the // required lanes implicitly. // TODO: Remove once replicate regions are unrolled completely. auto IsCandidateUnpackUser = [Def](VPUser *U) { VPRegionBlock *ParentRegion = cast(U)->getRegion(); return U->usesScalars(Def) && (!ParentRegion || !ParentRegion->isReplicator()); }; if (none_of(Def->users(), IsCandidateUnpackUser)) continue; auto *Unpack = new VPInstruction(VPInstruction::Unpack, {Def}); if (R.isPhi()) Unpack->insertBefore(*VPBB, VPBB->getFirstNonPhi()); else Unpack->insertAfter(&R); Def->replaceUsesWithIf(Unpack, [&IsCandidateUnpackUser](VPUser &U, unsigned) { return IsCandidateUnpackUser(&U); }); } } } } void VPlanTransforms::materializeVectorTripCount( VPlan &Plan, VPBasicBlock *VectorPHVPBB, bool TailByMasking, bool RequiresScalarEpilogue, VPValue *Step, std::optional MaxRuntimeStep) { VPSymbolicValue &VectorTC = Plan.getVectorTripCount(); // There's nothing to do if there are no users of the vector trip count or its // IR value has already been set. if (VectorTC.getNumUsers() == 0 || VectorTC.getUnderlyingValue()) return; VPValue *TC = Plan.getTripCount(); Type *TCTy = VPTypeAnalysis(Plan).inferScalarType(TC); VPBasicBlock::iterator InsertPt = VectorPHVPBB->begin(); if (auto *StepR = Step->getDefiningRecipe()) { assert(StepR->getParent() == VectorPHVPBB && "Step must be defined in VectorPHVPBB"); // Insert after Step's definition to maintain valid def-use ordering. InsertPt = std::next(StepR->getIterator()); } VPBuilder Builder(VectorPHVPBB, InsertPt); // For scalable steps, if TC is a constant and is divisible by the maximum // possible runtime step, then TC % Step == 0 for all valid vscale values // and the vector trip count equals TC directly. const APInt *TCVal; if (!RequiresScalarEpilogue && match(TC, m_APInt(TCVal)) && MaxRuntimeStep && TCVal->getZExtValue() % *MaxRuntimeStep == 0) { VectorTC.replaceAllUsesWith(TC); return; } // If the tail is to be folded by masking, round the number of iterations N // up to a multiple of Step instead of rounding down. This is done by first // adding Step-1 and then rounding down. Note that it's ok if this addition // overflows: the vector induction variable will eventually wrap to zero given // that it starts at zero and its Step is a power of two; the loop will then // exit, with the last early-exit vector comparison also producing all-true. if (TailByMasking) { TC = Builder.createAdd( TC, Builder.createSub(Step, Plan.getConstantInt(TCTy, 1)), DebugLoc::getCompilerGenerated(), "n.rnd.up"); } // Now we need to generate the expression for the part of the loop that the // vectorized body will execute. This is equal to N - (N % Step) if scalar // iterations are not required for correctness, or N - Step, otherwise. Step // is equal to the vectorization factor (number of SIMD elements) times the // unroll factor (number of SIMD instructions). VPValue *R = Builder.createNaryOp(Instruction::URem, {TC, Step}, DebugLoc::getCompilerGenerated(), "n.mod.vf"); // There are cases where we *must* run at least one iteration in the remainder // loop. See the cost model for when this can happen. If the step evenly // divides the trip count, we set the remainder to be equal to the step. If // the step does not evenly divide the trip count, no adjustment is necessary // since there will already be scalar iterations. Note that the minimum // iterations check ensures that N >= Step. if (RequiresScalarEpilogue) { assert(!TailByMasking && "requiring scalar epilogue is not supported with fail folding"); VPValue *IsZero = Builder.createICmp(CmpInst::ICMP_EQ, R, Plan.getZero(TCTy)); R = Builder.createSelect(IsZero, Step, R); } VPValue *Res = Builder.createSub(TC, R, DebugLoc::getCompilerGenerated(), "n.vec"); VectorTC.replaceAllUsesWith(Res); } void VPlanTransforms::materializeFactors(VPlan &Plan, VPBasicBlock *VectorPH, ElementCount VFEC) { // If VF and VFxUF have already been materialized (no remaining users), // there's nothing more to do. if (Plan.getVF().isMaterialized()) { assert(Plan.getVFxUF().isMaterialized() && "VF and VFxUF must be materialized together"); return; } VPBuilder Builder(VectorPH, VectorPH->begin()); Type *TCTy = VPTypeAnalysis(Plan).inferScalarType(Plan.getTripCount()); VPValue &VF = Plan.getVF(); VPValue &VFxUF = Plan.getVFxUF(); // If there are no users of the runtime VF, compute VFxUF by constant folding // the multiplication of VF and UF. if (VF.getNumUsers() == 0) { VPValue *RuntimeVFxUF = Builder.createElementCount(TCTy, VFEC * Plan.getConcreteUF()); VFxUF.replaceAllUsesWith(RuntimeVFxUF); return; } // For users of the runtime VF, compute it as VF * vscale, and VFxUF as (VF * // vscale) * UF. VPValue *RuntimeVF = Builder.createElementCount(TCTy, VFEC); if (!vputils::onlyScalarValuesUsed(&VF)) { VPValue *BC = Builder.createNaryOp(VPInstruction::Broadcast, RuntimeVF); VF.replaceUsesWithIf( BC, [&VF](VPUser &U, unsigned) { return !U.usesScalars(&VF); }); } VF.replaceAllUsesWith(RuntimeVF); VPValue *MulByUF = Builder.createOverflowingOp( Instruction::Mul, {RuntimeVF, Plan.getConstantInt(TCTy, Plan.getConcreteUF())}, {true, false}); VFxUF.replaceAllUsesWith(MulByUF); } DenseMap VPlanTransforms::expandSCEVs(VPlan &Plan, ScalarEvolution &SE) { SCEVExpander Expander(SE, "induction", /*PreserveLCSSA=*/false); auto *Entry = cast(Plan.getEntry()); BasicBlock *EntryBB = Entry->getIRBasicBlock(); DenseMap ExpandedSCEVs; for (VPRecipeBase &R : make_early_inc_range(*Entry)) { if (isa(&R)) continue; auto *ExpSCEV = dyn_cast(&R); if (!ExpSCEV) break; const SCEV *Expr = ExpSCEV->getSCEV(); Value *Res = Expander.expandCodeFor(Expr, Expr->getType(), EntryBB->getTerminator()); ExpandedSCEVs[ExpSCEV->getSCEV()] = Res; VPValue *Exp = Plan.getOrAddLiveIn(Res); ExpSCEV->replaceAllUsesWith(Exp); if (Plan.getTripCount() == ExpSCEV) Plan.resetTripCount(Exp); ExpSCEV->eraseFromParent(); } assert(none_of(*Entry, IsaPred) && "VPExpandSCEVRecipes must be at the beginning of the entry block, " "before any VPIRInstructions"); // Add IR instructions in the entry basic block but not in the VPIRBasicBlock // to the VPIRBasicBlock. auto EI = Entry->begin(); for (Instruction &I : drop_end(*EntryBB)) { if (EI != Entry->end() && isa(*EI) && &cast(&*EI)->getInstruction() == &I) { EI++; continue; } VPIRInstruction::create(I)->insertBefore(*Entry, EI); } return ExpandedSCEVs; } /// Returns true if \p V is VPWidenLoadRecipe or VPInterleaveRecipe that can be /// converted to a narrower recipe. \p V is used by a wide recipe that feeds a /// store interleave group at index \p Idx, \p WideMember0 is the recipe feeding /// the same interleave group at index 0. A VPWidenLoadRecipe can be narrowed to /// an index-independent load if it feeds all wide ops at all indices (\p OpV /// must be the operand at index \p OpIdx for both the recipe at lane 0, \p /// WideMember0). A VPInterleaveRecipe can be narrowed to a wide load, if \p V /// is defined at \p Idx of a load interleave group. static bool canNarrowLoad(VPSingleDefRecipe *WideMember0, unsigned OpIdx, VPValue *OpV, unsigned Idx, bool IsScalable) { VPValue *Member0Op = WideMember0->getOperand(OpIdx); VPRecipeBase *Member0OpR = Member0Op->getDefiningRecipe(); if (!Member0OpR) return Member0Op == OpV; if (auto *W = dyn_cast(Member0OpR)) // For scalable VFs, the narrowed plan processes vscale iterations at once, // so a shared wide load cannot be narrowed to a uniform scalar; bail out. return !IsScalable && !W->getMask() && W->isConsecutive() && Member0Op == OpV; if (auto *IR = dyn_cast(Member0OpR)) return IR->getInterleaveGroup()->isFull() && IR->getVPValue(Idx) == OpV; return false; } static bool canNarrowOps(ArrayRef Ops, bool IsScalable) { SmallVector Ops0; auto *WideMember0 = dyn_cast(Ops[0]); if (!WideMember0) return false; for (VPValue *V : Ops) { if (!isa(V)) return false; auto *R = cast(V); if (getOpcodeOrIntrinsicID(R) != getOpcodeOrIntrinsicID(WideMember0)) return false; } for (unsigned Idx = 0; Idx != WideMember0->getNumOperands(); ++Idx) { SmallVector OpsI; for (VPValue *Op : Ops) OpsI.push_back(Op->getDefiningRecipe()->getOperand(Idx)); if (canNarrowOps(OpsI, IsScalable)) continue; if (any_of(enumerate(OpsI), [WideMember0, Idx, IsScalable](const auto &P) { const auto &[OpIdx, OpV] = P; return !canNarrowLoad(WideMember0, Idx, OpV, OpIdx, IsScalable); })) return false; } return true; } /// Returns VF from \p VFs if \p IR is a full interleave group with factor and /// number of members both equal to VF. The interleave group must also access /// the full vector width. static std::optional isConsecutiveInterleaveGroup( VPInterleaveRecipe *InterleaveR, ArrayRef VFs, VPTypeAnalysis &TypeInfo, const TargetTransformInfo &TTI) { if (!InterleaveR || InterleaveR->getMask()) return std::nullopt; Type *GroupElementTy = nullptr; if (InterleaveR->getStoredValues().empty()) { GroupElementTy = TypeInfo.inferScalarType(InterleaveR->getVPValue(0)); if (!all_of(InterleaveR->definedValues(), [&TypeInfo, GroupElementTy](VPValue *Op) { return TypeInfo.inferScalarType(Op) == GroupElementTy; })) return std::nullopt; } else { GroupElementTy = TypeInfo.inferScalarType(InterleaveR->getStoredValues()[0]); if (!all_of(InterleaveR->getStoredValues(), [&TypeInfo, GroupElementTy](VPValue *Op) { return TypeInfo.inferScalarType(Op) == GroupElementTy; })) return std::nullopt; } auto IG = InterleaveR->getInterleaveGroup(); if (IG->getFactor() != IG->getNumMembers()) return std::nullopt; auto GetVectorBitWidthForVF = [&TTI](ElementCount VF) { TypeSize Size = TTI.getRegisterBitWidth( VF.isFixed() ? TargetTransformInfo::RGK_FixedWidthVector : TargetTransformInfo::RGK_ScalableVector); assert(Size.isScalable() == VF.isScalable() && "if Size is scalable, VF must be scalable and vice versa"); return Size.getKnownMinValue(); }; for (ElementCount VF : VFs) { unsigned MinVal = VF.getKnownMinValue(); unsigned GroupSize = GroupElementTy->getScalarSizeInBits() * MinVal; if (IG->getFactor() == MinVal && GroupSize == GetVectorBitWidthForVF(VF)) return {VF}; } return std::nullopt; } /// Returns true if \p VPValue is a narrow VPValue. static bool isAlreadyNarrow(VPValue *VPV) { if (isa(VPV)) return true; auto *RepR = dyn_cast(VPV); return RepR && RepR->isSingleScalar(); } // Convert a wide recipe defining a VPValue \p V feeding an interleave group to // a narrow variant. static VPValue * narrowInterleaveGroupOp(VPValue *V, SmallPtrSetImpl &NarrowedOps) { auto *R = V->getDefiningRecipe(); if (!R || NarrowedOps.contains(V)) return V; if (isAlreadyNarrow(V)) return V; if (isa(R)) { auto *WideMember0 = cast(R); for (unsigned Idx = 0, E = WideMember0->getNumOperands(); Idx != E; ++Idx) WideMember0->setOperand( Idx, narrowInterleaveGroupOp(WideMember0->getOperand(Idx), NarrowedOps)); return V; } if (auto *LoadGroup = dyn_cast(R)) { // Narrow interleave group to wide load, as transformed VPlan will only // process one original iteration. auto *LI = cast(LoadGroup->getInterleaveGroup()->getInsertPos()); auto *L = new VPWidenLoadRecipe(*LI, LoadGroup->getAddr(), LoadGroup->getMask(), /*Consecutive=*/true, {}, LoadGroup->getDebugLoc()); L->insertBefore(LoadGroup); NarrowedOps.insert(L); return L; } if (auto *RepR = dyn_cast(R)) { assert(RepR->isSingleScalar() && RepR->getOpcode() == Instruction::Load && "must be a single scalar load"); NarrowedOps.insert(RepR); return RepR; } auto *WideLoad = cast(R); VPValue *PtrOp = WideLoad->getAddr(); if (auto *VecPtr = dyn_cast(PtrOp)) PtrOp = VecPtr->getOperand(0); // Narrow wide load to uniform scalar load, as transformed VPlan will only // process one original iteration. auto *N = new VPReplicateRecipe(&WideLoad->getIngredient(), {PtrOp}, /*IsUniform*/ true, /*Mask*/ nullptr, {}, *WideLoad); N->insertBefore(WideLoad); NarrowedOps.insert(N); return N; } std::unique_ptr VPlanTransforms::narrowInterleaveGroups(VPlan &Plan, const TargetTransformInfo &TTI) { VPRegionBlock *VectorLoop = Plan.getVectorLoopRegion(); if (!VectorLoop) return nullptr; // Only handle single-block loops for now. if (VectorLoop->getEntryBasicBlock() != VectorLoop->getExitingBasicBlock()) return nullptr; // Skip plans when we may not be able to properly narrow. VPBasicBlock *Exiting = VectorLoop->getExitingBasicBlock(); if (!match(&Exiting->back(), m_BranchOnCount())) return nullptr; assert(match(&Exiting->back(), m_BranchOnCount(m_Add(m_VPValue(), m_Specific(&Plan.getVFxUF())), m_Specific(&Plan.getVectorTripCount()))) && "unexpected branch-on-count"); VPTypeAnalysis TypeInfo(Plan); SmallVector StoreGroups; std::optional VFToOptimize; for (auto &R : *VectorLoop->getEntryBasicBlock()) { if (isa(&R) && vputils::onlyFirstLaneUsed(cast(&R))) continue; // Bail out on recipes not supported at the moment: // * phi recipes other than the canonical induction // * recipes writing to memory except interleave groups // Only support plans with a canonical induction phi. if (R.isPhi()) return nullptr; auto *InterleaveR = dyn_cast(&R); if (R.mayWriteToMemory() && !InterleaveR) return nullptr; // All other ops are allowed, but we reject uses that cannot be converted // when checking all allowed consumers (store interleave groups) below. if (!InterleaveR) continue; // Try to find a single VF, where all interleave groups are consecutive and // saturate the full vector width. If we already have a candidate VF, check // if it is applicable for the current InterleaveR, otherwise look for a // suitable VF across the Plan's VFs. SmallVector VFs = VFToOptimize ? SmallVector({*VFToOptimize}) : to_vector(Plan.vectorFactors()); std::optional NarrowedVF = isConsecutiveInterleaveGroup(InterleaveR, VFs, TypeInfo, TTI); if (!NarrowedVF || (VFToOptimize && NarrowedVF != VFToOptimize)) return nullptr; VFToOptimize = NarrowedVF; // Skip read interleave groups. if (InterleaveR->getStoredValues().empty()) continue; // Narrow interleave groups, if all operands are already matching narrow // ops. auto *Member0 = InterleaveR->getStoredValues()[0]; if (isAlreadyNarrow(Member0) && all_of(InterleaveR->getStoredValues(), equal_to(Member0))) { StoreGroups.push_back(InterleaveR); continue; } // For now, we only support full interleave groups storing load interleave // groups. if (all_of(enumerate(InterleaveR->getStoredValues()), [](auto Op) { VPRecipeBase *DefR = Op.value()->getDefiningRecipe(); if (!DefR) return false; auto *IR = dyn_cast(DefR); return IR && IR->getInterleaveGroup()->isFull() && IR->getVPValue(Op.index()) == Op.value(); })) { StoreGroups.push_back(InterleaveR); continue; } // Check if all values feeding InterleaveR are matching wide recipes, which // operands that can be narrowed. if (!canNarrowOps(InterleaveR->getStoredValues(), VFToOptimize->isScalable())) return nullptr; StoreGroups.push_back(InterleaveR); } if (StoreGroups.empty()) return nullptr; VPBasicBlock *MiddleVPBB = Plan.getMiddleBlock(); bool RequiresScalarEpilogue = MiddleVPBB->getNumSuccessors() == 1 && MiddleVPBB->getSingleSuccessor() == Plan.getScalarPreheader(); // Bail out for tail-folding (middle block with a single successor to exit). if (MiddleVPBB->getNumSuccessors() != 2 && !RequiresScalarEpilogue) return nullptr; // All interleave groups in Plan can be narrowed for VFToOptimize. Split the // original Plan into 2: a) a new clone which contains all VFs of Plan, except // VFToOptimize, and b) the original Plan with VFToOptimize as single VF. // TODO: Handle cases where only some interleave groups can be narrowed. std::unique_ptr NewPlan; if (size(Plan.vectorFactors()) != 1) { NewPlan = std::unique_ptr(Plan.duplicate()); Plan.setVF(*VFToOptimize); NewPlan->removeVF(*VFToOptimize); } // Convert InterleaveGroup \p R to a single VPWidenLoadRecipe. SmallPtrSet NarrowedOps; // Narrow operation tree rooted at store groups. for (auto *StoreGroup : StoreGroups) { VPValue *Res = narrowInterleaveGroupOp(StoreGroup->getStoredValues()[0], NarrowedOps); auto *SI = cast(StoreGroup->getInterleaveGroup()->getInsertPos()); auto *S = new VPWidenStoreRecipe(*SI, StoreGroup->getAddr(), Res, nullptr, /*Consecutive=*/true, {}, StoreGroup->getDebugLoc()); S->insertBefore(StoreGroup); StoreGroup->eraseFromParent(); } // Adjust induction to reflect that the transformed plan only processes one // original iteration. VPInstruction *CanIVInc = vputils::findCanonicalIVIncrement(Plan); Type *CanIVTy = VectorLoop->getCanonicalIVType(); VPBasicBlock *VectorPH = Plan.getVectorPreheader(); VPBuilder PHBuilder(VectorPH, VectorPH->begin()); VPValue *UF = &Plan.getUF(); VPValue *Step; if (VFToOptimize->isScalable()) { VPValue *VScale = PHBuilder.createElementCount(CanIVTy, ElementCount::getScalable(1)); Step = PHBuilder.createOverflowingOp(Instruction::Mul, {VScale, UF}, {true, false}); Plan.getVF().replaceAllUsesWith(VScale); } else { Step = UF; Plan.getVF().replaceAllUsesWith(Plan.getConstantInt(CanIVTy, 1)); } // Materialize vector trip count with the narrowed step. materializeVectorTripCount(Plan, VectorPH, /*TailByMasking=*/false, RequiresScalarEpilogue, Step); CanIVInc->setOperand(1, Step); Plan.getVFxUF().replaceAllUsesWith(Step); removeDeadRecipes(Plan); assert(none_of(*VectorLoop->getEntryBasicBlock(), IsaPred) && "All VPVectorPointerRecipes should have been removed"); return NewPlan; } /// Add branch weight metadata, if the \p Plan's middle block is terminated by a /// BranchOnCond recipe. void VPlanTransforms::addBranchWeightToMiddleTerminator( VPlan &Plan, ElementCount VF, std::optional VScaleForTuning) { VPBasicBlock *MiddleVPBB = Plan.getMiddleBlock(); auto *MiddleTerm = dyn_cast_or_null(MiddleVPBB->getTerminator()); // Only add branch metadata if there is a (conditional) terminator. if (!MiddleTerm) return; assert(MiddleTerm->getOpcode() == VPInstruction::BranchOnCond && "must have a BranchOnCond"); // Assume that `TripCount % VectorStep ` is equally distributed. unsigned VectorStep = Plan.getConcreteUF() * VF.getKnownMinValue(); if (VF.isScalable() && VScaleForTuning.has_value()) VectorStep *= *VScaleForTuning; assert(VectorStep > 0 && "trip count should not be zero"); MDBuilder MDB(Plan.getContext()); MDNode *BranchWeights = MDB.createBranchWeights({1, VectorStep - 1}, /*IsExpected=*/false); MiddleTerm->setMetadata(LLVMContext::MD_prof, BranchWeights); } void VPlanTransforms::adjustFirstOrderRecurrenceMiddleUsers(VPlan &Plan, VFRange &Range) { VPRegionBlock *VectorRegion = Plan.getVectorLoopRegion(); auto *MiddleVPBB = Plan.getMiddleBlock(); VPBuilder MiddleBuilder(MiddleVPBB, MiddleVPBB->getFirstNonPhi()); VPTypeAnalysis TypeInfo(Plan); auto IsScalableOne = [](ElementCount VF) -> bool { return VF == ElementCount::getScalable(1); }; for (auto &HeaderPhi : VectorRegion->getEntryBasicBlock()->phis()) { auto *FOR = dyn_cast(&HeaderPhi); if (!FOR) continue; assert(VectorRegion->getSingleSuccessor() == Plan.getMiddleBlock() && "Cannot handle loops with uncountable early exits"); // Find the existing splice for this FOR, created in // createHeaderPhiRecipes. All uses of FOR have already been replaced with // RecurSplice there; only RecurSplice itself still references FOR. auto *RecurSplice = vputils::findUserOf(FOR); assert(RecurSplice && "expected FirstOrderRecurrenceSplice"); // For VF vscale x 1, if vscale = 1, we are unable to extract the // penultimate value of the recurrence. Instead we rely on the existing // extract of the last element from the result of // VPInstruction::FirstOrderRecurrenceSplice. // TODO: Consider vscale_range info and UF. if (any_of(RecurSplice->users(), [](VPUser *U) { return !cast(U)->getRegion(); }) && LoopVectorizationPlanner::getDecisionAndClampRange(IsScalableOne, Range)) return; // This is the second phase of vectorizing first-order recurrences, creating // extracts for users outside the loop. An overview of the transformation is // described below. Suppose we have the following loop with some use after // the loop of the last a[i-1], // // for (int i = 0; i < n; ++i) { // t = a[i - 1]; // b[i] = a[i] - t; // } // use t; // // There is a first-order recurrence on "a". For this loop, the shorthand // scalar IR looks like: // // scalar.ph: // s.init = a[-1] // br scalar.body // // scalar.body: // i = phi [0, scalar.ph], [i+1, scalar.body] // s1 = phi [s.init, scalar.ph], [s2, scalar.body] // s2 = a[i] // b[i] = s2 - s1 // br cond, scalar.body, exit.block // // exit.block: // use = lcssa.phi [s1, scalar.body] // // In this example, s1 is a recurrence because it's value depends on the // previous iteration. In the first phase of vectorization, we created a // VPFirstOrderRecurrencePHIRecipe v1 for s1. Now we create the extracts // for users in the scalar preheader and exit block. // // vector.ph: // v_init = vector(..., ..., ..., a[-1]) // br vector.body // // vector.body // i = phi [0, vector.ph], [i+4, vector.body] // v1 = phi [v_init, vector.ph], [v2, vector.body] // v2 = a[i, i+1, i+2, i+3] // v1' = splice(v1(3), v2(0, 1, 2)) // b[i, i+1, i+2, i+3] = v2 - v1' // br cond, vector.body, middle.block // // middle.block: // vector.recur.extract.for.phi = v2(2) // vector.recur.extract = v2(3) // br cond, scalar.ph, exit.block // // scalar.ph: // scalar.recur.init = phi [vector.recur.extract, middle.block], // [s.init, otherwise] // br scalar.body // // scalar.body: // i = phi [0, scalar.ph], [i+1, scalar.body] // s1 = phi [scalar.recur.init, scalar.ph], [s2, scalar.body] // s2 = a[i] // b[i] = s2 - s1 // br cond, scalar.body, exit.block // // exit.block: // lo = lcssa.phi [s1, scalar.body], // [vector.recur.extract.for.phi, middle.block] // // Update extracts of the splice in the middle block: they extract the // penultimate element of the recurrence. for (VPRecipeBase &R : make_early_inc_range( make_range(MiddleVPBB->getFirstNonPhi(), MiddleVPBB->end()))) { if (!match(&R, m_ExtractLastLaneOfLastPart(m_Specific(RecurSplice)))) continue; auto *ExtractR = cast(&R); VPValue *PenultimateElement = MiddleBuilder.createNaryOp( VPInstruction::ExtractPenultimateElement, RecurSplice->getOperand(1), {}, "vector.recur.extract.for.phi"); for (VPUser *ExitU : to_vector(ExtractR->users())) { if (auto *ExitPhi = dyn_cast(ExitU)) ExitPhi->replaceUsesOfWith(ExtractR, PenultimateElement); } } } } /// Check if \p V is a binary expression of a widened IV and a loop-invariant /// value. Returns the widened IV if found, nullptr otherwise. static VPWidenIntOrFpInductionRecipe *getExpressionIV(VPValue *V) { auto *BinOp = dyn_cast(V); if (!BinOp || !Instruction::isBinaryOp(BinOp->getOpcode()) || Instruction::isIntDivRem(BinOp->getOpcode())) return nullptr; VPValue *WidenIVCandidate = BinOp->getOperand(0); VPValue *InvariantCandidate = BinOp->getOperand(1); if (!isa(WidenIVCandidate)) std::swap(WidenIVCandidate, InvariantCandidate); if (!InvariantCandidate->isDefinedOutsideLoopRegions()) return nullptr; return dyn_cast(WidenIVCandidate); } /// Create a scalar version of \p BinOp, with its \p WidenIV operand replaced /// by \p ScalarIV, and place it after \p ScalarIV's defining recipe. static VPValue *cloneBinOpForScalarIV(VPWidenRecipe *BinOp, VPValue *ScalarIV, VPWidenIntOrFpInductionRecipe *WidenIV) { assert(Instruction::isBinaryOp(BinOp->getOpcode()) && BinOp->getNumOperands() == 2 && "BinOp must have 2 operands"); auto *ClonedOp = BinOp->clone(); if (ClonedOp->getOperand(0) == WidenIV) { ClonedOp->setOperand(0, ScalarIV); } else { assert(ClonedOp->getOperand(1) == WidenIV && "one operand must be WideIV"); ClonedOp->setOperand(1, ScalarIV); } ClonedOp->insertAfter(ScalarIV->getDefiningRecipe()); return ClonedOp; } void VPlanTransforms::optimizeFindIVReductions(VPlan &Plan, PredicatedScalarEvolution &PSE, Loop &L) { ScalarEvolution &SE = *PSE.getSE(); VPRegionBlock *VectorLoopRegion = Plan.getVectorLoopRegion(); // Helper lambda to check if the IV range excludes the sentinel value. Try // signed first, then unsigned. Return an excluded sentinel if found, // otherwise return std::nullopt. auto CheckSentinel = [&SE](const SCEV *IVSCEV, bool UseMax) -> std::optional { unsigned BW = IVSCEV->getType()->getScalarSizeInBits(); for (bool Signed : {true, false}) { APSInt Sentinel = UseMax ? APSInt::getMinValue(BW, /*Unsigned=*/!Signed) : APSInt::getMaxValue(BW, /*Unsigned=*/!Signed); ConstantRange IVRange = Signed ? SE.getSignedRange(IVSCEV) : SE.getUnsignedRange(IVSCEV); if (!IVRange.contains(Sentinel)) return Sentinel; } return std::nullopt; }; VPValue *HeaderMask = vputils::findHeaderMask(Plan); for (VPRecipeBase &Phi : make_early_inc_range(VectorLoopRegion->getEntryBasicBlock()->phis())) { auto *PhiR = dyn_cast(&Phi); if (!PhiR || !RecurrenceDescriptor::isFindLastRecurrenceKind( PhiR->getRecurrenceKind())) continue; Type *PhiTy = VPTypeAnalysis(Plan).inferScalarType(PhiR); if (PhiTy->isPointerTy() || PhiTy->isFloatingPointTy()) continue; // If there's a header mask, the backedge select will not be the find-last // select. VPValue *BackedgeVal = PhiR->getBackedgeValue(); auto *FindLastSelect = cast(BackedgeVal); if (HeaderMask && !match(BackedgeVal, m_Select(m_Specific(HeaderMask), m_VPSingleDefRecipe(FindLastSelect), m_Specific(PhiR)))) llvm_unreachable("expected header mask select"); // Get the find-last expression from the find-last select of the reduction // phi. The find-last select should be a select between the phi and the // find-last expression. VPValue *Cond, *FindLastExpression; if (!match(FindLastSelect, m_Select(m_VPValue(Cond), m_Specific(PhiR), m_VPValue(FindLastExpression))) && !match(FindLastSelect, m_Select(m_VPValue(Cond), m_VPValue(FindLastExpression), m_Specific(PhiR)))) continue; // Check if FindLastExpression is a simple expression of a widened IV. If // so, we can track the underlying IV instead and sink the expression. auto *IVOfExpressionToSink = getExpressionIV(FindLastExpression); const SCEV *IVSCEV = vputils::getSCEVExprForVPValue( IVOfExpressionToSink ? IVOfExpressionToSink : FindLastExpression, PSE, &L); const SCEV *Step; if (!match(IVSCEV, m_scev_AffineAddRec(m_SCEV(), m_SCEV(Step)))) { assert(!match(vputils::getSCEVExprForVPValue(FindLastExpression, PSE, &L), m_scev_AffineAddRec(m_SCEV(), m_SCEV())) && "IVOfExpressionToSink not being an AddRec must imply " "FindLastExpression not being an AddRec."); continue; } // Determine direction from SCEV step. if (!SE.isKnownNonZero(Step)) continue; // Positive step means we need UMax/SMax to find the last IV value, and // UMin/SMin otherwise. bool UseMax = SE.isKnownPositive(Step); std::optional SentinelVal = CheckSentinel(IVSCEV, UseMax); bool UseSigned = SentinelVal && SentinelVal->isSigned(); // Sinking an expression will disable epilogue vectorization. Only use it, // if FindLastExpression cannot be vectorized via a sentinel. Sinking may // also prevent vectorizing using a sentinel (e.g., if the expression is a // multiply or divide by large constant, respectively), which also makes // sinking undesirable. if (IVOfExpressionToSink) { const SCEV *FindLastExpressionSCEV = vputils::getSCEVExprForVPValue(FindLastExpression, PSE, &L); if (match(FindLastExpressionSCEV, m_scev_AffineAddRec(m_SCEV(), m_SCEV(Step)))) { bool NewUseMax = SE.isKnownPositive(Step); if (auto NewSentinel = CheckSentinel(FindLastExpressionSCEV, NewUseMax)) { // The original expression already has a sentinel, so prefer not // sinking to keep epilogue vectorization possible. SentinelVal = *NewSentinel; UseSigned = NewSentinel->isSigned(); UseMax = NewUseMax; IVSCEV = FindLastExpressionSCEV; IVOfExpressionToSink = nullptr; } } } // If no sentinel was found, fall back to a boolean AnyOf reduction to track // if the condition was ever true. Requires the IV to not wrap, otherwise we // cannot use min/max. if (!SentinelVal) { auto *AR = cast(IVSCEV); if (AR->hasNoSignedWrap()) UseSigned = true; else if (AR->hasNoUnsignedWrap()) UseSigned = false; else continue; } VPInstruction *RdxResult = cast(vputils::findRecipe( BackedgeVal, match_fn(m_VPInstruction()))); VPValue *NewFindLastSelect = BackedgeVal; VPValue *SelectCond = Cond; if (!SentinelVal || IVOfExpressionToSink) { // When we need to create a new select, normalize the condition so that // PhiR is the last operand and include the header mask if needed. DebugLoc DL = FindLastSelect->getDefiningRecipe()->getDebugLoc(); VPBuilder LoopBuilder(FindLastSelect->getDefiningRecipe()); if (FindLastSelect->getDefiningRecipe()->getOperand(1) == PhiR) SelectCond = LoopBuilder.createNot(SelectCond); // When tail folding, mask the condition with the header mask to prevent // propagating poison from inactive lanes in the last vector iteration. if (HeaderMask) SelectCond = LoopBuilder.createLogicalAnd(HeaderMask, SelectCond); if (SelectCond != Cond || IVOfExpressionToSink) { NewFindLastSelect = LoopBuilder.createSelect( SelectCond, IVOfExpressionToSink ? IVOfExpressionToSink : FindLastExpression, PhiR, DL); } } // Create the reduction result in the middle block using sentinel directly. RecurKind MinMaxKind = UseMax ? (UseSigned ? RecurKind::SMax : RecurKind::UMax) : (UseSigned ? RecurKind::SMin : RecurKind::UMin); VPIRFlags Flags(MinMaxKind, /*IsOrdered=*/false, /*IsInLoop=*/false, FastMathFlags()); DebugLoc ExitDL = RdxResult->getDebugLoc(); VPBuilder MiddleBuilder(RdxResult); VPValue *ReducedIV = MiddleBuilder.createNaryOp(VPInstruction::ComputeReductionResult, NewFindLastSelect, Flags, ExitDL); // If IVOfExpressionToSink is an expression to sink, sink it now. VPValue *VectorRegionExitingVal = ReducedIV; if (IVOfExpressionToSink) VectorRegionExitingVal = cloneBinOpForScalarIV(cast(FindLastExpression), ReducedIV, IVOfExpressionToSink); VPValue *NewRdxResult; VPValue *StartVPV = PhiR->getStartValue(); if (SentinelVal) { // Sentinel-based approach: reduce IVs with min/max, compare against // sentinel to detect if condition was ever true, select accordingly. VPValue *Sentinel = Plan.getConstantInt(*SentinelVal); auto *Cmp = MiddleBuilder.createICmp(CmpInst::ICMP_NE, ReducedIV, Sentinel, ExitDL); NewRdxResult = MiddleBuilder.createSelect(Cmp, VectorRegionExitingVal, StartVPV, ExitDL); StartVPV = Sentinel; } else { // Introduce a boolean AnyOf reduction to track if the condition was ever // true in the loop. Use it to select the initial start value, if it was // never true. auto *AnyOfPhi = new VPReductionPHIRecipe( /*Phi=*/nullptr, RecurKind::Or, *Plan.getFalse(), *Plan.getFalse(), RdxUnordered{1}, {}, /*HasUsesOutsideReductionChain=*/false); AnyOfPhi->insertAfter(PhiR); VPBuilder LoopBuilder(BackedgeVal->getDefiningRecipe()); VPValue *OrVal = LoopBuilder.createOr(AnyOfPhi, SelectCond); AnyOfPhi->setOperand(1, OrVal); NewRdxResult = MiddleBuilder.createAnyOfReduction( OrVal, VectorRegionExitingVal, StartVPV, ExitDL); // Initialize the IV reduction phi with the neutral element, not the // original start value, to ensure correct min/max reduction results. StartVPV = Plan.getOrAddLiveIn( getRecurrenceIdentity(MinMaxKind, IVSCEV->getType(), {})); } RdxResult->replaceAllUsesWith(NewRdxResult); RdxResult->eraseFromParent(); auto *NewPhiR = new VPReductionPHIRecipe( cast(PhiR->getUnderlyingInstr()), RecurKind::FindIV, *StartVPV, *NewFindLastSelect, RdxUnordered{1}, {}, PhiR->hasUsesOutsideReductionChain()); NewPhiR->insertBefore(PhiR); PhiR->replaceAllUsesWith(NewPhiR); PhiR->eraseFromParent(); } } namespace { using ExtendKind = TTI::PartialReductionExtendKind; struct ReductionExtend { Type *SrcType = nullptr; ExtendKind Kind = ExtendKind::PR_None; }; /// Describes the extends used to compute the extended reduction operand. /// ExtendB is optional. If ExtendB is present, ExtendsUser is a binary /// operation. struct ExtendedReductionOperand { /// The recipe that consumes the extends. VPWidenRecipe *ExtendsUser = nullptr; /// Extend descriptions (inputs to getPartialReductionCost). ReductionExtend ExtendA, ExtendB; }; /// A chain of recipes that form a partial reduction. Matches either /// reduction_bin_op (extended op, accumulator), or /// reduction_bin_op (accumulator, extended op). /// The possible forms of the "extended op" are listed in /// matchExtendedReductionOperand. struct VPPartialReductionChain { /// The top-level binary operation that forms the reduction to a scalar /// after the loop body. VPWidenRecipe *ReductionBinOp = nullptr; /// The user of the extends that is then reduced. ExtendedReductionOperand ExtendedOp; /// The recurrence kind for the entire partial reduction chain. /// This allows distinguishing between Sub and AddWithSub recurrences, /// when the ReductionBinOp is a Instruction::Sub. RecurKind RK; /// The index of the accumulator operand of ReductionBinOp. The extended op /// is `1 - AccumulatorOpIdx`. unsigned AccumulatorOpIdx; unsigned ScaleFactor; }; static VPSingleDefRecipe * optimizeExtendsForPartialReduction(VPSingleDefRecipe *Op, VPTypeAnalysis &TypeInfo) { // reduce.add(mul(ext(A), C)) // -> reduce.add(mul(ext(A), ext(trunc(C)))) const APInt *Const; if (match(Op, m_Mul(m_ZExtOrSExt(m_VPValue()), m_APInt(Const)))) { auto *ExtA = cast(Op->getOperand(0)); Instruction::CastOps ExtOpc = ExtA->getOpcode(); Type *NarrowTy = TypeInfo.inferScalarType(ExtA->getOperand(0)); if (!Op->hasOneUse() || !llvm::canConstantBeExtended( Const, NarrowTy, TTI::getPartialReductionExtendKind(ExtOpc))) return Op; VPBuilder Builder(Op); auto *Trunc = Builder.createWidenCast(Instruction::CastOps::Trunc, Op->getOperand(1), NarrowTy); Type *WideTy = TypeInfo.inferScalarType(ExtA); Op->setOperand(1, Builder.createWidenCast(ExtOpc, Trunc, WideTy)); return Op; } // reduce.add(abs(sub(ext(A), ext(B)))) // -> reduce.add(ext(absolute-difference(A, B))) VPValue *X, *Y; if (match(Op, m_WidenIntrinsic(m_Sub( m_ZExtOrSExt(m_VPValue(X)), m_ZExtOrSExt(m_VPValue(Y)))))) { auto *Sub = Op->getOperand(0)->getDefiningRecipe(); auto *Ext = cast(Sub->getOperand(0)); assert(Ext->getOpcode() == cast(Sub->getOperand(1))->getOpcode() && "Expected both the LHS and RHS extends to be the same"); bool IsSigned = Ext->getOpcode() == Instruction::SExt; VPBuilder Builder(Op); Type *SrcTy = TypeInfo.inferScalarType(X); auto *FreezeX = Builder.insert(new VPWidenRecipe(Instruction::Freeze, {X})); auto *FreezeY = Builder.insert(new VPWidenRecipe(Instruction::Freeze, {Y})); auto *Max = Builder.insert( new VPWidenIntrinsicRecipe(IsSigned ? Intrinsic::smax : Intrinsic::umax, {FreezeX, FreezeY}, SrcTy)); auto *Min = Builder.insert( new VPWidenIntrinsicRecipe(IsSigned ? Intrinsic::smin : Intrinsic::umin, {FreezeX, FreezeY}, SrcTy)); auto *AbsDiff = Builder.insert(new VPWidenRecipe(Instruction::Sub, {Max, Min})); return Builder.createWidenCast(Instruction::CastOps::ZExt, AbsDiff, TypeInfo.inferScalarType(Op)); } // reduce.add(ext(mul(ext(A), ext(B)))) // -> reduce.add(mul(wider_ext(A), wider_ext(B))) // TODO: Support this optimization for float types. if (match(Op, m_ZExtOrSExt(m_Mul(m_ZExtOrSExt(m_VPValue()), m_ZExtOrSExt(m_VPValue()))))) { auto *Ext = cast(Op); auto *Mul = cast(Ext->getOperand(0)); auto *MulLHS = cast(Mul->getOperand(0)); auto *MulRHS = cast(Mul->getOperand(1)); if (!Mul->hasOneUse() || (Ext->getOpcode() != MulLHS->getOpcode() && MulLHS != MulRHS) || MulLHS->getOpcode() != MulRHS->getOpcode()) return Op; VPBuilder Builder(Mul); Mul->setOperand(0, Builder.createWidenCast(MulLHS->getOpcode(), MulLHS->getOperand(0), Ext->getResultType())); Mul->setOperand(1, MulLHS == MulRHS ? Mul->getOperand(0) : Builder.createWidenCast(MulRHS->getOpcode(), MulRHS->getOperand(0), Ext->getResultType())); return Mul; } return Op; } static VPExpressionRecipe * createPartialReductionExpression(VPReductionRecipe *Red) { VPValue *VecOp = Red->getVecOp(); // reduce.[f]add(ext(op)) // -> VPExpressionRecipe(op, red) if (match(VecOp, m_WidenAnyExtend(m_VPValue()))) return new VPExpressionRecipe(cast(VecOp), Red); // reduce.[f]add([f]mul(ext(a), ext(b))) // -> VPExpressionRecipe(a, b, mul, red) if (match(VecOp, m_FMul(m_FPExt(m_VPValue()), m_FPExt(m_VPValue()))) || match(VecOp, m_Mul(m_ZExtOrSExt(m_VPValue()), m_ZExtOrSExt(m_VPValue())))) { auto *Mul = cast(VecOp); auto *ExtA = cast(Mul->getOperand(0)); auto *ExtB = cast(Mul->getOperand(1)); return new VPExpressionRecipe(ExtA, ExtB, Mul, Red); } // reduce.add(neg(mul(ext(a), ext(b)))) // -> VPExpressionRecipe(a, b, mul, sub, red) if (match(VecOp, m_Sub(m_ZeroInt(), m_Mul(m_ZExtOrSExt(m_VPValue()), m_ZExtOrSExt(m_VPValue()))))) { auto *Sub = cast(VecOp); auto *Mul = cast(Sub->getOperand(1)); auto *ExtA = cast(Mul->getOperand(0)); auto *ExtB = cast(Mul->getOperand(1)); return new VPExpressionRecipe(ExtA, ExtB, Mul, Sub, Red); } llvm_unreachable("Unsupported expression"); } // Helper to transform a partial reduction chain into a partial reduction // recipe. Assumes profitability has been checked. static void transformToPartialReduction(const VPPartialReductionChain &Chain, VPTypeAnalysis &TypeInfo, VPlan &Plan, VPReductionPHIRecipe *RdxPhi) { VPWidenRecipe *WidenRecipe = Chain.ReductionBinOp; assert(WidenRecipe->getNumOperands() == 2 && "Expected binary operation"); VPValue *Accumulator = WidenRecipe->getOperand(Chain.AccumulatorOpIdx); auto *ExtendedOp = cast( WidenRecipe->getOperand(1 - Chain.AccumulatorOpIdx)); // Sub-reductions can be implemented in two ways: // (1) negate the operand in the vector loop (the default way). // (2) subtract the reduced value from the init value in the middle block. // Both ways keep the reduction itself as an 'add' reduction. // // The ISD nodes for partial reductions don't support folding the // sub/negation into its operands because the following is not a valid // transformation: // sub(0, mul(ext(a), ext(b))) // -> mul(ext(a), ext(sub(0, b))) // // It's therefore better to choose option (2) such that the partial // reduction is always positive (starting at '0') and to do a final // subtract in the middle block. if (WidenRecipe->getOpcode() == Instruction::Sub && Chain.RK != RecurKind::Sub) { VPBuilder Builder(WidenRecipe); Type *ElemTy = TypeInfo.inferScalarType(ExtendedOp); auto *Zero = Plan.getZero(ElemTy); auto *NegRecipe = new VPWidenRecipe(Instruction::Sub, {Zero, ExtendedOp}, VPIRFlags(), VPIRMetadata(), DebugLoc::getUnknown()); Builder.insert(NegRecipe); ExtendedOp = NegRecipe; } // FIXME: Do these transforms before invoking the cost-model. ExtendedOp = optimizeExtendsForPartialReduction(ExtendedOp, TypeInfo); // Check if WidenRecipe is the final result of the reduction. If so look // through selects for predicated reductions. VPValue *Cond = nullptr; VPValue *ExitValue = cast_or_null(vputils::findUserOf( WidenRecipe, m_Select(m_VPValue(Cond), m_Specific(WidenRecipe), m_Specific(RdxPhi)))); bool IsLastInChain = RdxPhi->getBackedgeValue() == WidenRecipe || RdxPhi->getBackedgeValue() == ExitValue; assert((!ExitValue || IsLastInChain) && "if we found ExitValue, it must match RdxPhi's backedge value"); Type *PhiType = TypeInfo.inferScalarType(RdxPhi); RecurKind RdxKind = PhiType->isFloatingPointTy() ? RecurKind::FAdd : RecurKind::Add; auto *PartialRed = new VPReductionRecipe( RdxKind, RdxKind == RecurKind::FAdd ? WidenRecipe->getFastMathFlags() : FastMathFlags(), WidenRecipe->getUnderlyingInstr(), Accumulator, ExtendedOp, Cond, RdxUnordered{/*VFScaleFactor=*/Chain.ScaleFactor}); PartialRed->insertBefore(WidenRecipe); if (Cond) ExitValue->replaceAllUsesWith(PartialRed); WidenRecipe->replaceAllUsesWith(PartialRed); // For cost-model purposes, fold this into a VPExpression. VPExpressionRecipe *E = createPartialReductionExpression(PartialRed); E->insertBefore(WidenRecipe); PartialRed->replaceAllUsesWith(E); // We only need to update the PHI node once, which is when we find the // last reduction in the chain. if (!IsLastInChain) return; // Scale the PHI and ReductionStartVector by the VFScaleFactor assert(RdxPhi->getVFScaleFactor() == 1 && "scale factor must not be set"); RdxPhi->setVFScaleFactor(Chain.ScaleFactor); auto *StartInst = cast(RdxPhi->getStartValue()); assert(StartInst->getOpcode() == VPInstruction::ReductionStartVector); auto *NewScaleFactor = Plan.getConstantInt(32, Chain.ScaleFactor); StartInst->setOperand(2, NewScaleFactor); // If this is the last value in a sub-reduction chain, then update the PHI // node to start at `0` and update the reduction-result to subtract from // the PHI's start value. if (Chain.RK != RecurKind::Sub) return; VPValue *OldStartValue = StartInst->getOperand(0); StartInst->setOperand(0, StartInst->getOperand(1)); // Replace reduction_result by 'sub (startval, reductionresult)'. VPInstruction *RdxResult = vputils::findComputeReductionResult(RdxPhi); assert(RdxResult && "Could not find reduction result"); VPBuilder Builder = VPBuilder::getToInsertAfter(RdxResult); constexpr unsigned SubOpc = Instruction::BinaryOps::Sub; VPInstruction *NewResult = Builder.createNaryOp( SubOpc, {OldStartValue, RdxResult}, VPIRFlags::getDefaultFlags(SubOpc), RdxPhi->getDebugLoc()); RdxResult->replaceUsesWithIf( NewResult, [&NewResult](VPUser &U, unsigned Idx) { return &U != NewResult; }); } /// Returns the cost of a link in a partial-reduction chain for a given VF. static InstructionCost getPartialReductionLinkCost(VPCostContext &CostCtx, const VPPartialReductionChain &Link, ElementCount VF) { Type *RdxType = CostCtx.Types.inferScalarType(Link.ReductionBinOp); const ExtendedReductionOperand &ExtendedOp = Link.ExtendedOp; std::optional BinOpc = std::nullopt; // If ExtendB is not none, then the "ExtendsUser" is the binary operation. if (ExtendedOp.ExtendB.Kind != ExtendKind::PR_None) BinOpc = ExtendedOp.ExtendsUser->getOpcode(); std::optional Flags; if (RdxType->isFloatingPointTy()) Flags = Link.ReductionBinOp->getFastMathFlags(); unsigned Opcode = Link.RK == RecurKind::Sub ? (unsigned)Instruction::Add : Link.ReductionBinOp->getOpcode(); return CostCtx.TTI.getPartialReductionCost( Opcode, ExtendedOp.ExtendA.SrcType, ExtendedOp.ExtendB.SrcType, RdxType, VF, ExtendedOp.ExtendA.Kind, ExtendedOp.ExtendB.Kind, BinOpc, CostCtx.CostKind, Flags); } static ExtendKind getPartialReductionExtendKind(VPWidenCastRecipe *Cast) { return TTI::getPartialReductionExtendKind(Cast->getOpcode()); } /// Checks if \p Op (which is an operand of \p UpdateR) is an extended reduction /// operand. This is an operand where the source of the value (e.g. a load) has /// been extended (sext, zext, or fpext) before it is used in the reduction. /// /// Possible forms matched by this function: /// - UpdateR(PrevValue, ext(...)) /// - UpdateR(PrevValue, mul(ext(...), ext(...))) /// - UpdateR(PrevValue, mul(ext(...), Constant)) /// - UpdateR(PrevValue, neg(mul(ext(...), ext(...)))) /// - UpdateR(PrevValue, neg(mul(ext(...), Constant))) /// - UpdateR(PrevValue, ext(mul(ext(...), ext(...)))) /// - UpdateR(PrevValue, ext(mul(ext(...), Constant))) /// - UpdateR(PrevValue, abs(sub(ext(...), ext(...))) /// /// Note: The second operand of UpdateR corresponds to \p Op in the examples. static std::optional matchExtendedReductionOperand(VPWidenRecipe *UpdateR, VPValue *Op, VPTypeAnalysis &TypeInfo) { assert(is_contained(UpdateR->operands(), Op) && "Op should be operand of UpdateR"); // Try matching an absolute difference operand of the form // `abs(sub(ext(A), ext(B)))`. This will be later transformed into // `ext(absolute-difference(A, B))`. This allows us to perform the absolute // difference on a wider type and get the extend for "free" from the partial // reduction. VPValue *X, *Y; if (Op->hasOneUse() && match(Op, m_WidenIntrinsic( m_OneUse(m_Sub(m_WidenAnyExtend(m_VPValue(X)), m_WidenAnyExtend(m_VPValue(Y))))))) { auto *Abs = cast(Op); auto *Sub = cast(Abs->getOperand(0)); auto *LHSExt = cast(Sub->getOperand(0)); auto *RHSExt = cast(Sub->getOperand(1)); Type *LHSInputType = TypeInfo.inferScalarType(X); Type *RHSInputType = TypeInfo.inferScalarType(Y); if (LHSInputType != RHSInputType || LHSExt->getOpcode() != RHSExt->getOpcode()) return std::nullopt; // Note: This is essentially the same as matching ext(...) as we will // rewrite this operand to ext(absolute-difference(A, B)). return ExtendedReductionOperand{ Sub, /*ExtendA=*/{LHSInputType, getPartialReductionExtendKind(LHSExt)}, /*ExtendB=*/{}}; } std::optional OuterExtKind; if (match(Op, m_WidenAnyExtend(m_VPValue()))) { auto *CastRecipe = cast(Op); VPValue *CastSource = CastRecipe->getOperand(0); OuterExtKind = getPartialReductionExtendKind(CastRecipe); if (match(CastSource, m_Mul(m_VPValue(), m_VPValue())) || match(CastSource, m_FMul(m_VPValue(), m_VPValue()))) { // Match: ext(mul(...)) // Record the outer extend kind and set `Op` to the mul. We can then match // this as a binary operation. Note: We can optimize out the outer extend // by widening the inner extends to match it. See // optimizeExtendsForPartialReduction. Op = CastSource; // FIXME: createPartialReductionExpression can't handle sub(ext(mul(...))) if (UpdateR->getOpcode() == Instruction::Sub) return std::nullopt; } else if (UpdateR->getOpcode() == Instruction::Add || UpdateR->getOpcode() == Instruction::FAdd) { // Match: UpdateR(PrevValue, ext(...)) // TODO: Remove the add/fadd restriction (we should be able to handle this // case for sub reductions too). return ExtendedReductionOperand{ UpdateR, /*ExtendA=*/{TypeInfo.inferScalarType(CastSource), *OuterExtKind}, /*ExtendB=*/{}}; } } if (!Op->hasOneUse()) return std::nullopt; VPWidenRecipe *MulOp = dyn_cast(Op); if (!MulOp || !is_contained({Instruction::Mul, Instruction::FMul}, MulOp->getOpcode())) return std::nullopt; // The rest of the matching assumes `Op` is a (possibly extended/negated) // binary operation. VPValue *LHS = MulOp->getOperand(0); VPValue *RHS = MulOp->getOperand(1); // The LHS of the operation must always be an extend. if (!match(LHS, m_WidenAnyExtend(m_VPValue()))) return std::nullopt; auto *LHSCast = cast(LHS); Type *LHSInputType = TypeInfo.inferScalarType(LHSCast->getOperand(0)); ExtendKind LHSExtendKind = getPartialReductionExtendKind(LHSCast); // The RHS of the operation can be an extend or a constant integer. const APInt *RHSConst = nullptr; VPWidenCastRecipe *RHSCast = nullptr; if (match(RHS, m_WidenAnyExtend(m_VPValue()))) RHSCast = cast(RHS); else if (!match(RHS, m_APInt(RHSConst)) || !canConstantBeExtended(RHSConst, LHSInputType, LHSExtendKind)) return std::nullopt; // The outer extend kind must match the inner extends for folding. for (VPWidenCastRecipe *Cast : {LHSCast, RHSCast}) if (Cast && OuterExtKind && getPartialReductionExtendKind(Cast) != OuterExtKind) return std::nullopt; Type *RHSInputType = LHSInputType; ExtendKind RHSExtendKind = LHSExtendKind; if (RHSCast) { RHSInputType = TypeInfo.inferScalarType(RHSCast->getOperand(0)); RHSExtendKind = getPartialReductionExtendKind(RHSCast); } return ExtendedReductionOperand{ MulOp, {LHSInputType, LHSExtendKind}, {RHSInputType, RHSExtendKind}}; } /// Examines each operation in the reduction chain corresponding to \p RedPhiR, /// and determines if the target can use a cheaper operation with a wider /// per-iteration input VF and narrower PHI VF. If successful, returns the chain /// of operations in the reduction. static std::optional> getScaledReductions(VPReductionPHIRecipe *RedPhiR, VPCostContext &CostCtx, VFRange &Range) { // Get the backedge value from the reduction PHI and find the // ComputeReductionResult that uses it (directly or through a select for // predicated reductions). auto *RdxResult = vputils::findComputeReductionResult(RedPhiR); if (!RdxResult) return std::nullopt; VPValue *ExitValue = RdxResult->getOperand(0); match(ExitValue, m_Select(m_VPValue(), m_VPValue(ExitValue), m_VPValue())); VPTypeAnalysis &TypeInfo = CostCtx.Types; SmallVector Chain; RecurKind RK = RedPhiR->getRecurrenceKind(); Type *PhiType = TypeInfo.inferScalarType(RedPhiR); TypeSize PHISize = PhiType->getPrimitiveSizeInBits(); // Work backwards from the ExitValue examining each reduction operation. VPValue *CurrentValue = ExitValue; while (CurrentValue != RedPhiR) { auto *UpdateR = dyn_cast(CurrentValue); if (!UpdateR || !Instruction::isBinaryOp(UpdateR->getOpcode())) return std::nullopt; VPValue *Op = UpdateR->getOperand(1); VPValue *PrevValue = UpdateR->getOperand(0); // Find the extended operand. The other operand (PrevValue) is the next link // in the reduction chain. std::optional ExtendedOp = matchExtendedReductionOperand(UpdateR, Op, TypeInfo); if (!ExtendedOp) { ExtendedOp = matchExtendedReductionOperand(UpdateR, PrevValue, TypeInfo); if (!ExtendedOp) return std::nullopt; std::swap(Op, PrevValue); } Type *ExtSrcType = ExtendedOp->ExtendA.SrcType; TypeSize ExtSrcSize = ExtSrcType->getPrimitiveSizeInBits(); if (!PHISize.hasKnownScalarFactor(ExtSrcSize)) return std::nullopt; // Check if a partial reduction chain is supported by the target (i.e. does // not have an invalid cost) for the given VF range. Clamps the range and // returns true if feasible for any VF. VPPartialReductionChain Link( {UpdateR, *ExtendedOp, RK, PrevValue == UpdateR->getOperand(0) ? 0U : 1U, static_cast(PHISize.getKnownScalarFactor(ExtSrcSize))}); Chain.push_back(Link); CurrentValue = PrevValue; } // The chain links were collected by traversing backwards from the exit value. // Reverse the chains so they are in program order. std::reverse(Chain.begin(), Chain.end()); return Chain; } } // namespace void VPlanTransforms::createPartialReductions(VPlan &Plan, VPCostContext &CostCtx, VFRange &Range) { // Find all possible valid partial reductions, grouping chains by their PHI. // This grouping allows invalidating the whole chain, if any link is not a // valid partial reduction. MapVector> ChainsByPhi; VPBasicBlock *HeaderVPBB = Plan.getVectorLoopRegion()->getEntryBasicBlock(); for (VPRecipeBase &R : HeaderVPBB->phis()) { auto *RedPhiR = dyn_cast(&R); if (!RedPhiR) continue; if (auto Chains = getScaledReductions(RedPhiR, CostCtx, Range)) ChainsByPhi.try_emplace(RedPhiR, std::move(*Chains)); } if (ChainsByPhi.empty()) return; // Build set of partial reduction operations for extend user validation and // a map of reduction bin ops to their scale factors for scale validation. SmallPtrSet PartialReductionOps; DenseMap ScaledReductionMap; for (const auto &[_, Chains] : ChainsByPhi) for (const VPPartialReductionChain &Chain : Chains) { PartialReductionOps.insert(Chain.ExtendedOp.ExtendsUser); ScaledReductionMap[Chain.ReductionBinOp] = Chain.ScaleFactor; } // A partial reduction is invalid if any of its extends are used by // something that isn't another partial reduction. This is because the // extends are intended to be lowered along with the reduction itself. auto ExtendUsersValid = [&](VPValue *Ext) { return !isa(Ext) || all_of(Ext->users(), [&](VPUser *U) { return PartialReductionOps.contains(cast(U)); }); }; auto IsProfitablePartialReductionChainForVF = [&](ArrayRef Chain, ElementCount VF) -> bool { InstructionCost PartialCost = 0, RegularCost = 0; // The chain is a profitable partial reduction chain if the cost of handling // the entire chain is cheaper when using partial reductions than when // handling the entire chain using regular reductions. for (const VPPartialReductionChain &Link : Chain) { const ExtendedReductionOperand &ExtendedOp = Link.ExtendedOp; InstructionCost LinkCost = getPartialReductionLinkCost(CostCtx, Link, VF); if (!LinkCost.isValid()) return false; PartialCost += LinkCost; RegularCost += Link.ReductionBinOp->computeCost(VF, CostCtx); // If ExtendB is not none, then the "ExtendsUser" is the binary operation. if (ExtendedOp.ExtendB.Kind != ExtendKind::PR_None) RegularCost += ExtendedOp.ExtendsUser->computeCost(VF, CostCtx); for (VPValue *Op : ExtendedOp.ExtendsUser->operands()) if (auto *Extend = dyn_cast(Op)) RegularCost += Extend->computeCost(VF, CostCtx); } return PartialCost.isValid() && PartialCost < RegularCost; }; // Validate chains: check that extends are only used by partial reductions, // and that reduction bin ops are only used by other partial reductions with // matching scale factors, are outside the loop region or the select // introduced by tail-folding. Otherwise we would create users of scaled // reductions where the types of the other operands don't match. for (auto &[RedPhiR, Chains] : ChainsByPhi) { for (const VPPartialReductionChain &Chain : Chains) { if (!all_of(Chain.ExtendedOp.ExtendsUser->operands(), ExtendUsersValid)) { Chains.clear(); break; } auto UseIsValid = [&, RedPhiR = RedPhiR](VPUser *U) { if (auto *PhiR = dyn_cast(U)) return PhiR == RedPhiR; auto *R = cast(U); return Chain.ScaleFactor == ScaledReductionMap.lookup_or(R, 0) || match(R, m_ComputeReductionResult( m_Specific(Chain.ReductionBinOp))) || match(R, m_Select(m_VPValue(), m_Specific(Chain.ReductionBinOp), m_Specific(RedPhiR))); }; if (!all_of(Chain.ReductionBinOp->users(), UseIsValid)) { Chains.clear(); break; } // Check if the compute-reduction-result is used by a sunk store. // TODO: Also form partial reductions in those cases. if (auto *RdxResult = vputils::findComputeReductionResult(RedPhiR)) { if (any_of(RdxResult->users(), [](VPUser *U) { auto *RepR = dyn_cast(U); return RepR && RepR->getOpcode() == Instruction::Store; })) { Chains.clear(); break; } } } // Clear the chain if it is not profitable. if (!LoopVectorizationPlanner::getDecisionAndClampRange( [&, &Chains = Chains](ElementCount VF) { return IsProfitablePartialReductionChainForVF(Chains, VF); }, Range)) Chains.clear(); } for (auto &[Phi, Chains] : ChainsByPhi) for (const VPPartialReductionChain &Chain : Chains) transformToPartialReduction(Chain, CostCtx.Types, Plan, Phi); } void VPlanTransforms::makeMemOpWideningDecisions( VPlan &Plan, VFRange &Range, VPRecipeBuilder &RecipeBuilder) { // Collect all loads/stores first. We will start with ones having simpler // decisions followed by more complex ones that are potentially // guided/dependent on the simpler ones. SmallVector MemOps; for (VPBasicBlock *VPBB : VPBlockUtils::blocksOnly(vp_depth_first_shallow( Plan.getVectorLoopRegion()->getEntryBasicBlock()))) { for (VPRecipeBase &R : *VPBB) { auto *VPI = dyn_cast(&R); if (VPI && VPI->getUnderlyingValue() && is_contained({Instruction::Load, Instruction::Store}, VPI->getOpcode())) MemOps.push_back(VPI); } } VPBasicBlock *MiddleVPBB = Plan.getMiddleBlock(); VPBuilder FinalRedStoresBuilder(MiddleVPBB, MiddleVPBB->getFirstNonPhi()); for (VPInstruction *VPI : MemOps) { auto ReplaceWith = [&](VPRecipeBase *New) { RecipeBuilder.setRecipe(cast(VPI->getUnderlyingValue()), New); New->insertBefore(VPI); if (VPI->getOpcode() == Instruction::Load) VPI->replaceAllUsesWith(New->getVPSingleValue()); VPI->eraseFromParent(); }; // Note: we must do that for scalar VPlan as well. if (RecipeBuilder.replaceWithFinalIfReductionStore(VPI, FinalRedStoresBuilder)) continue; // Filter out scalar VPlan for the remaining memory operations. if (LoopVectorizationPlanner::getDecisionAndClampRange( [](ElementCount VF) { return VF.isScalar(); }, Range)) continue; if (VPHistogramRecipe *Histogram = RecipeBuilder.widenIfHistogram(VPI)) { ReplaceWith(Histogram); continue; } VPRecipeBase *Recipe = RecipeBuilder.tryToWidenMemory(VPI, Range); if (!Recipe) Recipe = RecipeBuilder.handleReplication(VPI, Range); ReplaceWith(Recipe); } }