//===-- UnrollLoop.cpp - Loop unrolling utilities -------------------------===// // // The LLVM Compiler Infrastructure // // This file is distributed under the University of Illinois Open Source // License. See LICENSE.TXT for details. // //===----------------------------------------------------------------------===// // // This file implements some loop unrolling utilities. It does not define any // actual pass or policy, but provides a single function to perform loop // unrolling. // // The process of unrolling can produce extraneous basic blocks linked with // unconditional branches. This will be corrected in the future. // //===----------------------------------------------------------------------===// #include "llvm/Transforms/Utils/UnrollLoop.h" #include "llvm/ADT/SmallPtrSet.h" #include "llvm/ADT/Statistic.h" #include "llvm/Analysis/AssumptionCache.h" #include "llvm/Analysis/InstructionSimplify.h" #include "llvm/Analysis/LoopIterator.h" #include "llvm/Analysis/LoopPass.h" #include "llvm/Analysis/OptimizationDiagnosticInfo.h" #include "llvm/Analysis/ScalarEvolution.h" #include "llvm/IR/BasicBlock.h" #include "llvm/IR/DataLayout.h" #include "llvm/IR/DebugInfoMetadata.h" #include "llvm/IR/Dominators.h" #include "llvm/IR/IntrinsicInst.h" #include "llvm/IR/LLVMContext.h" #include "llvm/Support/Debug.h" #include "llvm/Support/raw_ostream.h" #include "llvm/Transforms/Utils/BasicBlockUtils.h" #include "llvm/Transforms/Utils/Cloning.h" #include "llvm/Transforms/Utils/Local.h" #include "llvm/Transforms/Utils/LoopSimplify.h" #include "llvm/Transforms/Utils/LoopUtils.h" #include "llvm/Transforms/Utils/SimplifyIndVar.h" using namespace llvm; #define DEBUG_TYPE "loop-unroll" // TODO: Should these be here or in LoopUnroll? STATISTIC(NumCompletelyUnrolled, "Number of loops completely unrolled"); STATISTIC(NumUnrolled, "Number of loops unrolled (completely or otherwise)"); static cl::opt UnrollRuntimeEpilog("unroll-runtime-epilog", cl::init(false), cl::Hidden, cl::desc("Allow runtime unrolled loops to be unrolled " "with epilog instead of prolog.")); static cl::opt UnrollVerifyDomtree("unroll-verify-domtree", cl::Hidden, cl::desc("Verify domtree after unrolling"), #ifdef NDEBUG cl::init(false) #else cl::init(true) #endif ); /// Convert the instruction operands from referencing the current values into /// those specified by VMap. static inline void remapInstruction(Instruction *I, ValueToValueMapTy &VMap) { for (unsigned op = 0, E = I->getNumOperands(); op != E; ++op) { Value *Op = I->getOperand(op); ValueToValueMapTy::iterator It = VMap.find(Op); if (It != VMap.end()) I->setOperand(op, It->second); } if (PHINode *PN = dyn_cast(I)) { for (unsigned i = 0, e = PN->getNumIncomingValues(); i != e; ++i) { ValueToValueMapTy::iterator It = VMap.find(PN->getIncomingBlock(i)); if (It != VMap.end()) PN->setIncomingBlock(i, cast(It->second)); } } } /// Folds a basic block into its predecessor if it only has one predecessor, and /// that predecessor only has one successor. /// The LoopInfo Analysis that is passed will be kept consistent. If folding is /// successful references to the containing loop must be removed from /// ScalarEvolution by calling ScalarEvolution::forgetLoop because SE may have /// references to the eliminated BB. The argument ForgottenLoops contains a set /// of loops that have already been forgotten to prevent redundant, expensive /// calls to ScalarEvolution::forgetLoop. Returns the new combined block. static BasicBlock * foldBlockIntoPredecessor(BasicBlock *BB, LoopInfo *LI, ScalarEvolution *SE, SmallPtrSetImpl &ForgottenLoops, DominatorTree *DT) { // Merge basic blocks into their predecessor if there is only one distinct // pred, and if there is only one distinct successor of the predecessor, and // if there are no PHI nodes. BasicBlock *OnlyPred = BB->getSinglePredecessor(); if (!OnlyPred) return nullptr; if (OnlyPred->getTerminator()->getNumSuccessors() != 1) return nullptr; DEBUG(dbgs() << "Merging: " << *BB << "into: " << *OnlyPred); // Resolve any PHI nodes at the start of the block. They are all // guaranteed to have exactly one entry if they exist, unless there are // multiple duplicate (but guaranteed to be equal) entries for the // incoming edges. This occurs when there are multiple edges from // OnlyPred to OnlySucc. FoldSingleEntryPHINodes(BB); // Delete the unconditional branch from the predecessor... OnlyPred->getInstList().pop_back(); // Make all PHI nodes that referred to BB now refer to Pred as their // source... BB->replaceAllUsesWith(OnlyPred); // Move all definitions in the successor to the predecessor... OnlyPred->getInstList().splice(OnlyPred->end(), BB->getInstList()); // OldName will be valid until erased. StringRef OldName = BB->getName(); // Erase the old block and update dominator info. if (DT) if (DomTreeNode *DTN = DT->getNode(BB)) { DomTreeNode *PredDTN = DT->getNode(OnlyPred); SmallVector Children(DTN->begin(), DTN->end()); for (auto *DI : Children) DT->changeImmediateDominator(DI, PredDTN); DT->eraseNode(BB); } // ScalarEvolution holds references to loop exit blocks. if (SE) { if (Loop *L = LI->getLoopFor(BB)) { if (ForgottenLoops.insert(L).second) SE->forgetLoop(L); } } LI->removeBlock(BB); // Inherit predecessor's name if it exists... if (!OldName.empty() && !OnlyPred->hasName()) OnlyPred->setName(OldName); BB->eraseFromParent(); return OnlyPred; } /// Check if unrolling created a situation where we need to insert phi nodes to /// preserve LCSSA form. /// \param Blocks is a vector of basic blocks representing unrolled loop. /// \param L is the outer loop. /// It's possible that some of the blocks are in L, and some are not. In this /// case, if there is a use is outside L, and definition is inside L, we need to /// insert a phi-node, otherwise LCSSA will be broken. /// The function is just a helper function for llvm::UnrollLoop that returns /// true if this situation occurs, indicating that LCSSA needs to be fixed. static bool needToInsertPhisForLCSSA(Loop *L, std::vector Blocks, LoopInfo *LI) { for (BasicBlock *BB : Blocks) { if (LI->getLoopFor(BB) == L) continue; for (Instruction &I : *BB) { for (Use &U : I.operands()) { if (auto Def = dyn_cast(U)) { Loop *DefLoop = LI->getLoopFor(Def->getParent()); if (!DefLoop) continue; if (DefLoop->contains(L)) return true; } } } } return false; } /// Adds ClonedBB to LoopInfo, creates a new loop for ClonedBB if necessary /// and adds a mapping from the original loop to the new loop to NewLoops. /// Returns nullptr if no new loop was created and a pointer to the /// original loop OriginalBB was part of otherwise. const Loop* llvm::addClonedBlockToLoopInfo(BasicBlock *OriginalBB, BasicBlock *ClonedBB, LoopInfo *LI, NewLoopsMap &NewLoops) { // Figure out which loop New is in. const Loop *OldLoop = LI->getLoopFor(OriginalBB); assert(OldLoop && "Should (at least) be in the loop being unrolled!"); Loop *&NewLoop = NewLoops[OldLoop]; if (!NewLoop) { // Found a new sub-loop. assert(OriginalBB == OldLoop->getHeader() && "Header should be first in RPO"); NewLoop = new Loop(); Loop *NewLoopParent = NewLoops.lookup(OldLoop->getParentLoop()); if (NewLoopParent) NewLoopParent->addChildLoop(NewLoop); else LI->addTopLevelLoop(NewLoop); NewLoop->addBasicBlockToLoop(ClonedBB, *LI); return OldLoop; } else { NewLoop->addBasicBlockToLoop(ClonedBB, *LI); return nullptr; } } /// The function chooses which type of unroll (epilog or prolog) is more /// profitabale. /// Epilog unroll is more profitable when there is PHI that starts from /// constant. In this case epilog will leave PHI start from constant, /// but prolog will convert it to non-constant. /// /// loop: /// PN = PHI [I, Latch], [CI, PreHeader] /// I = foo(PN) /// ... /// /// Epilog unroll case. /// loop: /// PN = PHI [I2, Latch], [CI, PreHeader] /// I1 = foo(PN) /// I2 = foo(I1) /// ... /// Prolog unroll case. /// NewPN = PHI [PrologI, Prolog], [CI, PreHeader] /// loop: /// PN = PHI [I2, Latch], [NewPN, PreHeader] /// I1 = foo(PN) /// I2 = foo(I1) /// ... /// static bool isEpilogProfitable(Loop *L) { BasicBlock *PreHeader = L->getLoopPreheader(); BasicBlock *Header = L->getHeader(); assert(PreHeader && Header); for (Instruction &BBI : *Header) { PHINode *PN = dyn_cast(&BBI); if (!PN) break; if (isa(PN->getIncomingValueForBlock(PreHeader))) return true; } return false; } /// Unroll the given loop by Count. The loop must be in LCSSA form. Returns true /// if unrolling was successful, or false if the loop was unmodified. Unrolling /// can only fail when the loop's latch block is not terminated by a conditional /// branch instruction. However, if the trip count (and multiple) are not known, /// loop unrolling will mostly produce more code that is no faster. /// /// TripCount is the upper bound of the iteration on which control exits /// LatchBlock. Control may exit the loop prior to TripCount iterations either /// via an early branch in other loop block or via LatchBlock terminator. This /// is relaxed from the general definition of trip count which is the number of /// times the loop header executes. Note that UnrollLoop assumes that the loop /// counter test is in LatchBlock in order to remove unnecesssary instances of /// the test. If control can exit the loop from the LatchBlock's terminator /// prior to TripCount iterations, flag PreserveCondBr needs to be set. /// /// PreserveCondBr indicates whether the conditional branch of the LatchBlock /// needs to be preserved. It is needed when we use trip count upper bound to /// fully unroll the loop. If PreserveOnlyFirst is also set then only the first /// conditional branch needs to be preserved. /// /// Similarly, TripMultiple divides the number of times that the LatchBlock may /// execute without exiting the loop. /// /// If AllowRuntime is true then UnrollLoop will consider unrolling loops that /// have a runtime (i.e. not compile time constant) trip count. Unrolling these /// loops require a unroll "prologue" that runs "RuntimeTripCount % Count" /// iterations before branching into the unrolled loop. UnrollLoop will not /// runtime-unroll the loop if computing RuntimeTripCount will be expensive and /// AllowExpensiveTripCount is false. /// /// If we want to perform PGO-based loop peeling, PeelCount is set to the /// number of iterations we want to peel off. /// /// The LoopInfo Analysis that is passed will be kept consistent. /// /// This utility preserves LoopInfo. It will also preserve ScalarEvolution and /// DominatorTree if they are non-null. bool llvm::UnrollLoop(Loop *L, unsigned Count, unsigned TripCount, bool Force, bool AllowRuntime, bool AllowExpensiveTripCount, bool PreserveCondBr, bool PreserveOnlyFirst, unsigned TripMultiple, unsigned PeelCount, LoopInfo *LI, ScalarEvolution *SE, DominatorTree *DT, AssumptionCache *AC, OptimizationRemarkEmitter *ORE, bool PreserveLCSSA) { BasicBlock *Preheader = L->getLoopPreheader(); if (!Preheader) { DEBUG(dbgs() << " Can't unroll; loop preheader-insertion failed.\n"); return false; } BasicBlock *LatchBlock = L->getLoopLatch(); if (!LatchBlock) { DEBUG(dbgs() << " Can't unroll; loop exit-block-insertion failed.\n"); return false; } // Loops with indirectbr cannot be cloned. if (!L->isSafeToClone()) { DEBUG(dbgs() << " Can't unroll; Loop body cannot be cloned.\n"); return false; } // The current loop unroll pass can only unroll loops with a single latch // that's a conditional branch exiting the loop. // FIXME: The implementation can be extended to work with more complicated // cases, e.g. loops with multiple latches. BasicBlock *Header = L->getHeader(); BranchInst *BI = dyn_cast(LatchBlock->getTerminator()); if (!BI || BI->isUnconditional()) { // The loop-rotate pass can be helpful to avoid this in many cases. DEBUG(dbgs() << " Can't unroll; loop not terminated by a conditional branch.\n"); return false; } auto CheckSuccessors = [&](unsigned S1, unsigned S2) { return BI->getSuccessor(S1) == Header && !L->contains(BI->getSuccessor(S2)); }; if (!CheckSuccessors(0, 1) && !CheckSuccessors(1, 0)) { DEBUG(dbgs() << "Can't unroll; only loops with one conditional latch" " exiting the loop can be unrolled\n"); return false; } if (Header->hasAddressTaken()) { // The loop-rotate pass can be helpful to avoid this in many cases. DEBUG(dbgs() << " Won't unroll loop: address of header block is taken.\n"); return false; } if (TripCount != 0) DEBUG(dbgs() << " Trip Count = " << TripCount << "\n"); if (TripMultiple != 1) DEBUG(dbgs() << " Trip Multiple = " << TripMultiple << "\n"); // Effectively "DCE" unrolled iterations that are beyond the tripcount // and will never be executed. if (TripCount != 0 && Count > TripCount) Count = TripCount; // Don't enter the unroll code if there is nothing to do. if (TripCount == 0 && Count < 2 && PeelCount == 0) { DEBUG(dbgs() << "Won't unroll; almost nothing to do\n"); return false; } assert(Count > 0); assert(TripMultiple > 0); assert(TripCount == 0 || TripCount % TripMultiple == 0); // Are we eliminating the loop control altogether? bool CompletelyUnroll = Count == TripCount; SmallVector ExitBlocks; L->getExitBlocks(ExitBlocks); std::vector OriginalLoopBlocks = L->getBlocks(); // Go through all exits of L and see if there are any phi-nodes there. We just // conservatively assume that they're inserted to preserve LCSSA form, which // means that complete unrolling might break this form. We need to either fix // it in-place after the transformation, or entirely rebuild LCSSA. TODO: For // now we just recompute LCSSA for the outer loop, but it should be possible // to fix it in-place. bool NeedToFixLCSSA = PreserveLCSSA && CompletelyUnroll && any_of(ExitBlocks, [](const BasicBlock *BB) { return isa(BB->begin()); }); // We assume a run-time trip count if the compiler cannot // figure out the loop trip count and the unroll-runtime // flag is specified. bool RuntimeTripCount = (TripCount == 0 && Count > 0 && AllowRuntime); assert((!RuntimeTripCount || !PeelCount) && "Did not expect runtime trip-count unrolling " "and peeling for the same loop"); if (PeelCount) peelLoop(L, PeelCount, LI, SE, DT, AC, PreserveLCSSA); // Loops containing convergent instructions must have a count that divides // their TripMultiple. DEBUG( { bool HasConvergent = false; for (auto &BB : L->blocks()) for (auto &I : *BB) if (auto CS = CallSite(&I)) HasConvergent |= CS.isConvergent(); assert((!HasConvergent || TripMultiple % Count == 0) && "Unroll count must divide trip multiple if loop contains a " "convergent operation."); }); bool EpilogProfitability = UnrollRuntimeEpilog.getNumOccurrences() ? UnrollRuntimeEpilog : isEpilogProfitable(L); if (RuntimeTripCount && TripMultiple % Count != 0 && !UnrollRuntimeLoopRemainder(L, Count, AllowExpensiveTripCount, EpilogProfitability, LI, SE, DT, PreserveLCSSA)) { if (Force) RuntimeTripCount = false; else { DEBUG( dbgs() << "Wont unroll; remainder loop could not be generated" "when assuming runtime trip count\n"); return false; } } // Notify ScalarEvolution that the loop will be substantially changed, // if not outright eliminated. if (SE) SE->forgetLoop(L); // If we know the trip count, we know the multiple... unsigned BreakoutTrip = 0; if (TripCount != 0) { BreakoutTrip = TripCount % Count; TripMultiple = 0; } else { // Figure out what multiple to use. BreakoutTrip = TripMultiple = (unsigned)GreatestCommonDivisor64(Count, TripMultiple); } using namespace ore; // Report the unrolling decision. if (CompletelyUnroll) { DEBUG(dbgs() << "COMPLETELY UNROLLING loop %" << Header->getName() << " with trip count " << TripCount << "!\n"); ORE->emit(OptimizationRemark(DEBUG_TYPE, "FullyUnrolled", L->getStartLoc(), L->getHeader()) << "completely unrolled loop with " << NV("UnrollCount", TripCount) << " iterations"); } else if (PeelCount) { DEBUG(dbgs() << "PEELING loop %" << Header->getName() << " with iteration count " << PeelCount << "!\n"); ORE->emit(OptimizationRemark(DEBUG_TYPE, "Peeled", L->getStartLoc(), L->getHeader()) << " peeled loop by " << NV("PeelCount", PeelCount) << " iterations"); } else { OptimizationRemark Diag(DEBUG_TYPE, "PartialUnrolled", L->getStartLoc(), L->getHeader()); Diag << "unrolled loop by a factor of " << NV("UnrollCount", Count); DEBUG(dbgs() << "UNROLLING loop %" << Header->getName() << " by " << Count); if (TripMultiple == 0 || BreakoutTrip != TripMultiple) { DEBUG(dbgs() << " with a breakout at trip " << BreakoutTrip); ORE->emit(Diag << " with a breakout at trip " << NV("BreakoutTrip", BreakoutTrip)); } else if (TripMultiple != 1) { DEBUG(dbgs() << " with " << TripMultiple << " trips per branch"); ORE->emit(Diag << " with " << NV("TripMultiple", TripMultiple) << " trips per branch"); } else if (RuntimeTripCount) { DEBUG(dbgs() << " with run-time trip count"); ORE->emit(Diag << " with run-time trip count"); } DEBUG(dbgs() << "!\n"); } bool ContinueOnTrue = L->contains(BI->getSuccessor(0)); BasicBlock *LoopExit = BI->getSuccessor(ContinueOnTrue); // For the first iteration of the loop, we should use the precloned values for // PHI nodes. Insert associations now. ValueToValueMapTy LastValueMap; std::vector OrigPHINode; for (BasicBlock::iterator I = Header->begin(); isa(I); ++I) { OrigPHINode.push_back(cast(I)); } std::vector Headers; std::vector Latches; Headers.push_back(Header); Latches.push_back(LatchBlock); // The current on-the-fly SSA update requires blocks to be processed in // reverse postorder so that LastValueMap contains the correct value at each // exit. LoopBlocksDFS DFS(L); DFS.perform(LI); // Stash the DFS iterators before adding blocks to the loop. LoopBlocksDFS::RPOIterator BlockBegin = DFS.beginRPO(); LoopBlocksDFS::RPOIterator BlockEnd = DFS.endRPO(); std::vector UnrolledLoopBlocks = L->getBlocks(); // Loop Unrolling might create new loops. While we do preserve LoopInfo, we // might break loop-simplified form for these loops (as they, e.g., would // share the same exit blocks). We'll keep track of loops for which we can // break this so that later we can re-simplify them. SmallSetVector LoopsToSimplify; for (Loop *SubLoop : *L) LoopsToSimplify.insert(SubLoop); if (Header->getParent()->isDebugInfoForProfiling()) for (BasicBlock *BB : L->getBlocks()) for (Instruction &I : *BB) if (const DILocation *DIL = I.getDebugLoc()) I.setDebugLoc(DIL->cloneWithDuplicationFactor(Count)); for (unsigned It = 1; It != Count; ++It) { std::vector NewBlocks; SmallDenseMap NewLoops; NewLoops[L] = L; for (LoopBlocksDFS::RPOIterator BB = BlockBegin; BB != BlockEnd; ++BB) { ValueToValueMapTy VMap; BasicBlock *New = CloneBasicBlock(*BB, VMap, "." + Twine(It)); Header->getParent()->getBasicBlockList().push_back(New); assert((*BB != Header || LI->getLoopFor(*BB) == L) && "Header should not be in a sub-loop"); // Tell LI about New. const Loop *OldLoop = addClonedBlockToLoopInfo(*BB, New, LI, NewLoops); if (OldLoop) { LoopsToSimplify.insert(NewLoops[OldLoop]); // Forget the old loop, since its inputs may have changed. if (SE) SE->forgetLoop(OldLoop); } if (*BB == Header) // Loop over all of the PHI nodes in the block, changing them to use // the incoming values from the previous block. for (PHINode *OrigPHI : OrigPHINode) { PHINode *NewPHI = cast(VMap[OrigPHI]); Value *InVal = NewPHI->getIncomingValueForBlock(LatchBlock); if (Instruction *InValI = dyn_cast(InVal)) if (It > 1 && L->contains(InValI)) InVal = LastValueMap[InValI]; VMap[OrigPHI] = InVal; New->getInstList().erase(NewPHI); } // Update our running map of newest clones LastValueMap[*BB] = New; for (ValueToValueMapTy::iterator VI = VMap.begin(), VE = VMap.end(); VI != VE; ++VI) LastValueMap[VI->first] = VI->second; // Add phi entries for newly created values to all exit blocks. for (BasicBlock *Succ : successors(*BB)) { if (L->contains(Succ)) continue; for (BasicBlock::iterator BBI = Succ->begin(); PHINode *phi = dyn_cast(BBI); ++BBI) { Value *Incoming = phi->getIncomingValueForBlock(*BB); ValueToValueMapTy::iterator It = LastValueMap.find(Incoming); if (It != LastValueMap.end()) Incoming = It->second; phi->addIncoming(Incoming, New); } } // Keep track of new headers and latches as we create them, so that // we can insert the proper branches later. if (*BB == Header) Headers.push_back(New); if (*BB == LatchBlock) Latches.push_back(New); NewBlocks.push_back(New); UnrolledLoopBlocks.push_back(New); // Update DomTree: since we just copy the loop body, and each copy has a // dedicated entry block (copy of the header block), this header's copy // dominates all copied blocks. That means, dominance relations in the // copied body are the same as in the original body. if (DT) { if (*BB == Header) DT->addNewBlock(New, Latches[It - 1]); else { auto BBDomNode = DT->getNode(*BB); auto BBIDom = BBDomNode->getIDom(); BasicBlock *OriginalBBIDom = BBIDom->getBlock(); DT->addNewBlock( New, cast(LastValueMap[cast(OriginalBBIDom)])); } } } // Remap all instructions in the most recent iteration for (BasicBlock *NewBlock : NewBlocks) { for (Instruction &I : *NewBlock) { ::remapInstruction(&I, LastValueMap); if (auto *II = dyn_cast(&I)) if (II->getIntrinsicID() == Intrinsic::assume) AC->registerAssumption(II); } } } // Loop over the PHI nodes in the original block, setting incoming values. for (PHINode *PN : OrigPHINode) { if (CompletelyUnroll) { PN->replaceAllUsesWith(PN->getIncomingValueForBlock(Preheader)); Header->getInstList().erase(PN); } else if (Count > 1) { Value *InVal = PN->removeIncomingValue(LatchBlock, false); // If this value was defined in the loop, take the value defined by the // last iteration of the loop. if (Instruction *InValI = dyn_cast(InVal)) { if (L->contains(InValI)) InVal = LastValueMap[InVal]; } assert(Latches.back() == LastValueMap[LatchBlock] && "bad last latch"); PN->addIncoming(InVal, Latches.back()); } } // Now that all the basic blocks for the unrolled iterations are in place, // set up the branches to connect them. for (unsigned i = 0, e = Latches.size(); i != e; ++i) { // The original branch was replicated in each unrolled iteration. BranchInst *Term = cast(Latches[i]->getTerminator()); // The branch destination. unsigned j = (i + 1) % e; BasicBlock *Dest = Headers[j]; bool NeedConditional = true; if (RuntimeTripCount && j != 0) { NeedConditional = false; } // For a complete unroll, make the last iteration end with a branch // to the exit block. if (CompletelyUnroll) { if (j == 0) Dest = LoopExit; // If using trip count upper bound to completely unroll, we need to keep // the conditional branch except the last one because the loop may exit // after any iteration. assert(NeedConditional && "NeedCondition cannot be modified by both complete " "unrolling and runtime unrolling"); NeedConditional = (PreserveCondBr && j && !(PreserveOnlyFirst && i != 0)); } else if (j != BreakoutTrip && (TripMultiple == 0 || j % TripMultiple != 0)) { // If we know the trip count or a multiple of it, we can safely use an // unconditional branch for some iterations. NeedConditional = false; } if (NeedConditional) { // Update the conditional branch's successor for the following // iteration. Term->setSuccessor(!ContinueOnTrue, Dest); } else { // Remove phi operands at this loop exit if (Dest != LoopExit) { BasicBlock *BB = Latches[i]; for (BasicBlock *Succ: successors(BB)) { if (Succ == Headers[i]) continue; for (BasicBlock::iterator BBI = Succ->begin(); PHINode *Phi = dyn_cast(BBI); ++BBI) { Phi->removeIncomingValue(BB, false); } } } // Replace the conditional branch with an unconditional one. BranchInst::Create(Dest, Term); Term->eraseFromParent(); } } // Update dominators of blocks we might reach through exits. // Immediate dominator of such block might change, because we add more // routes which can lead to the exit: we can now reach it from the copied // iterations too. if (DT && Count > 1) { for (auto *BB : OriginalLoopBlocks) { auto *BBDomNode = DT->getNode(BB); SmallVector ChildrenToUpdate; for (auto *ChildDomNode : BBDomNode->getChildren()) { auto *ChildBB = ChildDomNode->getBlock(); if (!L->contains(ChildBB)) ChildrenToUpdate.push_back(ChildBB); } BasicBlock *NewIDom; if (BB == LatchBlock) { // The latch is special because we emit unconditional branches in // some cases where the original loop contained a conditional branch. // Since the latch is always at the bottom of the loop, if the latch // dominated an exit before unrolling, the new dominator of that exit // must also be a latch. Specifically, the dominator is the first // latch which ends in a conditional branch, or the last latch if // there is no such latch. NewIDom = Latches.back(); for (BasicBlock *IterLatch : Latches) { TerminatorInst *Term = IterLatch->getTerminator(); if (isa(Term) && cast(Term)->isConditional()) { NewIDom = IterLatch; break; } } } else { // The new idom of the block will be the nearest common dominator // of all copies of the previous idom. This is equivalent to the // nearest common dominator of the previous idom and the first latch, // which dominates all copies of the previous idom. NewIDom = DT->findNearestCommonDominator(BB, LatchBlock); } for (auto *ChildBB : ChildrenToUpdate) DT->changeImmediateDominator(ChildBB, NewIDom); } } if (DT && UnrollVerifyDomtree) DT->verifyDomTree(); // Merge adjacent basic blocks, if possible. SmallPtrSet ForgottenLoops; for (BasicBlock *Latch : Latches) { BranchInst *Term = cast(Latch->getTerminator()); if (Term->isUnconditional()) { BasicBlock *Dest = Term->getSuccessor(0); if (BasicBlock *Fold = foldBlockIntoPredecessor(Dest, LI, SE, ForgottenLoops, DT)) { // Dest has been folded into Fold. Update our worklists accordingly. std::replace(Latches.begin(), Latches.end(), Dest, Fold); UnrolledLoopBlocks.erase(std::remove(UnrolledLoopBlocks.begin(), UnrolledLoopBlocks.end(), Dest), UnrolledLoopBlocks.end()); } } } // Simplify any new induction variables in the partially unrolled loop. if (SE && !CompletelyUnroll && Count > 1) { SmallVector DeadInsts; simplifyLoopIVs(L, SE, DT, LI, DeadInsts); // Aggressively clean up dead instructions that simplifyLoopIVs already // identified. Any remaining should be cleaned up below. while (!DeadInsts.empty()) if (Instruction *Inst = dyn_cast_or_null(&*DeadInsts.pop_back_val())) RecursivelyDeleteTriviallyDeadInstructions(Inst); } // At this point, the code is well formed. We now do a quick sweep over the // inserted code, doing constant propagation and dead code elimination as we // go. const DataLayout &DL = Header->getModule()->getDataLayout(); const std::vector &NewLoopBlocks = L->getBlocks(); for (BasicBlock *BB : NewLoopBlocks) { for (BasicBlock::iterator I = BB->begin(), E = BB->end(); I != E; ) { Instruction *Inst = &*I++; if (Value *V = SimplifyInstruction(Inst, DL)) if (LI->replacementPreservesLCSSAForm(Inst, V)) Inst->replaceAllUsesWith(V); if (isInstructionTriviallyDead(Inst)) BB->getInstList().erase(Inst); } } // TODO: after peeling or unrolling, previously loop variant conditions are // likely to fold to constants, eagerly propagating those here will require // fewer cleanup passes to be run. Alternatively, a LoopEarlyCSE might be // appropriate. NumCompletelyUnrolled += CompletelyUnroll; ++NumUnrolled; Loop *OuterL = L->getParentLoop(); // Update LoopInfo if the loop is completely removed. if (CompletelyUnroll) LI->markAsRemoved(L); // After complete unrolling most of the blocks should be contained in OuterL. // However, some of them might happen to be out of OuterL (e.g. if they // precede a loop exit). In this case we might need to insert PHI nodes in // order to preserve LCSSA form. // We don't need to check this if we already know that we need to fix LCSSA // form. // TODO: For now we just recompute LCSSA for the outer loop in this case, but // it should be possible to fix it in-place. if (PreserveLCSSA && OuterL && CompletelyUnroll && !NeedToFixLCSSA) NeedToFixLCSSA |= ::needToInsertPhisForLCSSA(OuterL, UnrolledLoopBlocks, LI); // If we have a pass and a DominatorTree we should re-simplify impacted loops // to ensure subsequent analyses can rely on this form. We want to simplify // at least one layer outside of the loop that was unrolled so that any // changes to the parent loop exposed by the unrolling are considered. if (DT) { if (OuterL) { // OuterL includes all loops for which we can break loop-simplify, so // it's sufficient to simplify only it (it'll recursively simplify inner // loops too). if (NeedToFixLCSSA) { // LCSSA must be performed on the outermost affected loop. The unrolled // loop's last loop latch is guaranteed to be in the outermost loop // after LoopInfo's been updated by markAsRemoved. Loop *LatchLoop = LI->getLoopFor(Latches.back()); Loop *FixLCSSALoop = OuterL; if (!FixLCSSALoop->contains(LatchLoop)) while (FixLCSSALoop->getParentLoop() != LatchLoop) FixLCSSALoop = FixLCSSALoop->getParentLoop(); formLCSSARecursively(*FixLCSSALoop, *DT, LI, SE); } else if (PreserveLCSSA) { assert(OuterL->isLCSSAForm(*DT) && "Loops should be in LCSSA form after loop-unroll."); } // TODO: That potentially might be compile-time expensive. We should try // to fix the loop-simplified form incrementally. simplifyLoop(OuterL, DT, LI, SE, AC, PreserveLCSSA); } else { // Simplify loops for which we might've broken loop-simplify form. for (Loop *SubLoop : LoopsToSimplify) simplifyLoop(SubLoop, DT, LI, SE, AC, PreserveLCSSA); } } return true; } /// Given an llvm.loop loop id metadata node, returns the loop hint metadata /// node with the given name (for example, "llvm.loop.unroll.count"). If no /// such metadata node exists, then nullptr is returned. MDNode *llvm::GetUnrollMetadata(MDNode *LoopID, StringRef Name) { // First operand should refer to the loop id itself. assert(LoopID->getNumOperands() > 0 && "requires at least one operand"); assert(LoopID->getOperand(0) == LoopID && "invalid loop id"); for (unsigned i = 1, e = LoopID->getNumOperands(); i < e; ++i) { MDNode *MD = dyn_cast(LoopID->getOperand(i)); if (!MD) continue; MDString *S = dyn_cast(MD->getOperand(0)); if (!S) continue; if (Name.equals(S->getString())) return MD; } return nullptr; }