//===-- LoopUtils.cpp - Loop Utility functions -------------------------===// // // 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 // //===----------------------------------------------------------------------===// // // This file defines common loop utility functions. // //===----------------------------------------------------------------------===// #include "llvm/Transforms/Utils/LoopUtils.h" #include "llvm/ADT/DenseSet.h" #include "llvm/ADT/Optional.h" #include "llvm/ADT/PriorityWorklist.h" #include "llvm/ADT/ScopeExit.h" #include "llvm/ADT/SetVector.h" #include "llvm/ADT/SmallPtrSet.h" #include "llvm/ADT/SmallVector.h" #include "llvm/Analysis/AliasAnalysis.h" #include "llvm/Analysis/BasicAliasAnalysis.h" #include "llvm/Analysis/DomTreeUpdater.h" #include "llvm/Analysis/GlobalsModRef.h" #include "llvm/Analysis/InstructionSimplify.h" #include "llvm/Analysis/LoopAccessAnalysis.h" #include "llvm/Analysis/LoopInfo.h" #include "llvm/Analysis/LoopPass.h" #include "llvm/Analysis/MemorySSA.h" #include "llvm/Analysis/MemorySSAUpdater.h" #include "llvm/Analysis/MustExecute.h" #include "llvm/Analysis/ScalarEvolution.h" #include "llvm/Analysis/ScalarEvolutionAliasAnalysis.h" #include "llvm/Analysis/ScalarEvolutionExpressions.h" #include "llvm/Analysis/TargetTransformInfo.h" #include "llvm/Analysis/ValueTracking.h" #include "llvm/IR/DIBuilder.h" #include "llvm/IR/Dominators.h" #include "llvm/IR/Instructions.h" #include "llvm/IR/IntrinsicInst.h" #include "llvm/IR/MDBuilder.h" #include "llvm/IR/Module.h" #include "llvm/IR/Operator.h" #include "llvm/IR/PatternMatch.h" #include "llvm/IR/ValueHandle.h" #include "llvm/InitializePasses.h" #include "llvm/Pass.h" #include "llvm/Support/Debug.h" #include "llvm/Support/KnownBits.h" #include "llvm/Transforms/Utils/BasicBlockUtils.h" #include "llvm/Transforms/Utils/Local.h" #include "llvm/Transforms/Utils/ScalarEvolutionExpander.h" using namespace llvm; using namespace llvm::PatternMatch; static cl::opt ForceReductionIntrinsic( "force-reduction-intrinsics", cl::Hidden, cl::desc("Force creating reduction intrinsics for testing."), cl::init(false)); #define DEBUG_TYPE "loop-utils" static const char *LLVMLoopDisableNonforced = "llvm.loop.disable_nonforced"; static const char *LLVMLoopDisableLICM = "llvm.licm.disable"; bool llvm::formDedicatedExitBlocks(Loop *L, DominatorTree *DT, LoopInfo *LI, MemorySSAUpdater *MSSAU, bool PreserveLCSSA) { bool Changed = false; // We re-use a vector for the in-loop predecesosrs. SmallVector InLoopPredecessors; auto RewriteExit = [&](BasicBlock *BB) { assert(InLoopPredecessors.empty() && "Must start with an empty predecessors list!"); auto Cleanup = make_scope_exit([&] { InLoopPredecessors.clear(); }); // See if there are any non-loop predecessors of this exit block and // keep track of the in-loop predecessors. bool IsDedicatedExit = true; for (auto *PredBB : predecessors(BB)) if (L->contains(PredBB)) { if (isa(PredBB->getTerminator())) // We cannot rewrite exiting edges from an indirectbr. return false; if (isa(PredBB->getTerminator())) // We cannot rewrite exiting edges from a callbr. return false; InLoopPredecessors.push_back(PredBB); } else { IsDedicatedExit = false; } assert(!InLoopPredecessors.empty() && "Must have *some* loop predecessor!"); // Nothing to do if this is already a dedicated exit. if (IsDedicatedExit) return false; auto *NewExitBB = SplitBlockPredecessors( BB, InLoopPredecessors, ".loopexit", DT, LI, MSSAU, PreserveLCSSA); if (!NewExitBB) LLVM_DEBUG( dbgs() << "WARNING: Can't create a dedicated exit block for loop: " << *L << "\n"); else LLVM_DEBUG(dbgs() << "LoopSimplify: Creating dedicated exit block " << NewExitBB->getName() << "\n"); return true; }; // Walk the exit blocks directly rather than building up a data structure for // them, but only visit each one once. SmallPtrSet Visited; for (auto *BB : L->blocks()) for (auto *SuccBB : successors(BB)) { // We're looking for exit blocks so skip in-loop successors. if (L->contains(SuccBB)) continue; // Visit each exit block exactly once. if (!Visited.insert(SuccBB).second) continue; Changed |= RewriteExit(SuccBB); } return Changed; } /// Returns the instructions that use values defined in the loop. SmallVector llvm::findDefsUsedOutsideOfLoop(Loop *L) { SmallVector UsedOutside; for (auto *Block : L->getBlocks()) // FIXME: I believe that this could use copy_if if the Inst reference could // be adapted into a pointer. for (auto &Inst : *Block) { auto Users = Inst.users(); if (any_of(Users, [&](User *U) { auto *Use = cast(U); return !L->contains(Use->getParent()); })) UsedOutside.push_back(&Inst); } return UsedOutside; } void llvm::getLoopAnalysisUsage(AnalysisUsage &AU) { // By definition, all loop passes need the LoopInfo analysis and the // Dominator tree it depends on. Because they all participate in the loop // pass manager, they must also preserve these. AU.addRequired(); AU.addPreserved(); AU.addRequired(); AU.addPreserved(); // We must also preserve LoopSimplify and LCSSA. We locally access their IDs // here because users shouldn't directly get them from this header. extern char &LoopSimplifyID; extern char &LCSSAID; AU.addRequiredID(LoopSimplifyID); AU.addPreservedID(LoopSimplifyID); AU.addRequiredID(LCSSAID); AU.addPreservedID(LCSSAID); // This is used in the LPPassManager to perform LCSSA verification on passes // which preserve lcssa form AU.addRequired(); AU.addPreserved(); // Loop passes are designed to run inside of a loop pass manager which means // that any function analyses they require must be required by the first loop // pass in the manager (so that it is computed before the loop pass manager // runs) and preserved by all loop pasess in the manager. To make this // reasonably robust, the set needed for most loop passes is maintained here. // If your loop pass requires an analysis not listed here, you will need to // carefully audit the loop pass manager nesting structure that results. AU.addRequired(); AU.addPreserved(); AU.addPreserved(); AU.addPreserved(); AU.addPreserved(); AU.addRequired(); AU.addPreserved(); // FIXME: When all loop passes preserve MemorySSA, it can be required and // preserved here instead of the individual handling in each pass. } /// Manually defined generic "LoopPass" dependency initialization. This is used /// to initialize the exact set of passes from above in \c /// getLoopAnalysisUsage. It can be used within a loop pass's initialization /// with: /// /// INITIALIZE_PASS_DEPENDENCY(LoopPass) /// /// As-if "LoopPass" were a pass. void llvm::initializeLoopPassPass(PassRegistry &Registry) { INITIALIZE_PASS_DEPENDENCY(DominatorTreeWrapperPass) INITIALIZE_PASS_DEPENDENCY(LoopInfoWrapperPass) INITIALIZE_PASS_DEPENDENCY(LoopSimplify) INITIALIZE_PASS_DEPENDENCY(LCSSAWrapperPass) INITIALIZE_PASS_DEPENDENCY(AAResultsWrapperPass) INITIALIZE_PASS_DEPENDENCY(BasicAAWrapperPass) INITIALIZE_PASS_DEPENDENCY(GlobalsAAWrapperPass) INITIALIZE_PASS_DEPENDENCY(SCEVAAWrapperPass) INITIALIZE_PASS_DEPENDENCY(ScalarEvolutionWrapperPass) INITIALIZE_PASS_DEPENDENCY(MemorySSAWrapperPass) } /// Create MDNode for input string. static MDNode *createStringMetadata(Loop *TheLoop, StringRef Name, unsigned V) { LLVMContext &Context = TheLoop->getHeader()->getContext(); Metadata *MDs[] = { MDString::get(Context, Name), ConstantAsMetadata::get(ConstantInt::get(Type::getInt32Ty(Context), V))}; return MDNode::get(Context, MDs); } /// Set input string into loop metadata by keeping other values intact. /// If the string is already in loop metadata update value if it is /// different. void llvm::addStringMetadataToLoop(Loop *TheLoop, const char *StringMD, unsigned V) { SmallVector MDs(1); // If the loop already has metadata, retain it. MDNode *LoopID = TheLoop->getLoopID(); if (LoopID) { for (unsigned i = 1, ie = LoopID->getNumOperands(); i < ie; ++i) { MDNode *Node = cast(LoopID->getOperand(i)); // If it is of form key = value, try to parse it. if (Node->getNumOperands() == 2) { MDString *S = dyn_cast(Node->getOperand(0)); if (S && S->getString().equals(StringMD)) { ConstantInt *IntMD = mdconst::extract_or_null(Node->getOperand(1)); if (IntMD && IntMD->getSExtValue() == V) // It is already in place. Do nothing. return; // We need to update the value, so just skip it here and it will // be added after copying other existed nodes. continue; } } MDs.push_back(Node); } } // Add new metadata. MDs.push_back(createStringMetadata(TheLoop, StringMD, V)); // Replace current metadata node with new one. LLVMContext &Context = TheLoop->getHeader()->getContext(); MDNode *NewLoopID = MDNode::get(Context, MDs); // Set operand 0 to refer to the loop id itself. NewLoopID->replaceOperandWith(0, NewLoopID); TheLoop->setLoopID(NewLoopID); } /// Find string metadata for loop /// /// If it has a value (e.g. {"llvm.distribute", 1} return the value as an /// operand or null otherwise. If the string metadata is not found return /// Optional's not-a-value. Optional llvm::findStringMetadataForLoop(const Loop *TheLoop, StringRef Name) { MDNode *MD = findOptionMDForLoop(TheLoop, Name); if (!MD) return None; switch (MD->getNumOperands()) { case 1: return nullptr; case 2: return &MD->getOperand(1); default: llvm_unreachable("loop metadata has 0 or 1 operand"); } } static Optional getOptionalBoolLoopAttribute(const Loop *TheLoop, StringRef Name) { MDNode *MD = findOptionMDForLoop(TheLoop, Name); if (!MD) return None; switch (MD->getNumOperands()) { case 1: // When the value is absent it is interpreted as 'attribute set'. return true; case 2: if (ConstantInt *IntMD = mdconst::extract_or_null(MD->getOperand(1).get())) return IntMD->getZExtValue(); return true; } llvm_unreachable("unexpected number of options"); } static bool getBooleanLoopAttribute(const Loop *TheLoop, StringRef Name) { return getOptionalBoolLoopAttribute(TheLoop, Name).getValueOr(false); } llvm::Optional llvm::getOptionalIntLoopAttribute(Loop *TheLoop, StringRef Name) { const MDOperand *AttrMD = findStringMetadataForLoop(TheLoop, Name).getValueOr(nullptr); if (!AttrMD) return None; ConstantInt *IntMD = mdconst::extract_or_null(AttrMD->get()); if (!IntMD) return None; return IntMD->getSExtValue(); } Optional llvm::makeFollowupLoopID( MDNode *OrigLoopID, ArrayRef FollowupOptions, const char *InheritOptionsExceptPrefix, bool AlwaysNew) { if (!OrigLoopID) { if (AlwaysNew) return nullptr; return None; } assert(OrigLoopID->getOperand(0) == OrigLoopID); bool InheritAllAttrs = !InheritOptionsExceptPrefix; bool InheritSomeAttrs = InheritOptionsExceptPrefix && InheritOptionsExceptPrefix[0] != '\0'; SmallVector MDs; MDs.push_back(nullptr); bool Changed = false; if (InheritAllAttrs || InheritSomeAttrs) { for (const MDOperand &Existing : drop_begin(OrigLoopID->operands(), 1)) { MDNode *Op = cast(Existing.get()); auto InheritThisAttribute = [InheritSomeAttrs, InheritOptionsExceptPrefix](MDNode *Op) { if (!InheritSomeAttrs) return false; // Skip malformatted attribute metadata nodes. if (Op->getNumOperands() == 0) return true; Metadata *NameMD = Op->getOperand(0).get(); if (!isa(NameMD)) return true; StringRef AttrName = cast(NameMD)->getString(); // Do not inherit excluded attributes. return !AttrName.startswith(InheritOptionsExceptPrefix); }; if (InheritThisAttribute(Op)) MDs.push_back(Op); else Changed = true; } } else { // Modified if we dropped at least one attribute. Changed = OrigLoopID->getNumOperands() > 1; } bool HasAnyFollowup = false; for (StringRef OptionName : FollowupOptions) { MDNode *FollowupNode = findOptionMDForLoopID(OrigLoopID, OptionName); if (!FollowupNode) continue; HasAnyFollowup = true; for (const MDOperand &Option : drop_begin(FollowupNode->operands(), 1)) { MDs.push_back(Option.get()); Changed = true; } } // Attributes of the followup loop not specified explicity, so signal to the // transformation pass to add suitable attributes. if (!AlwaysNew && !HasAnyFollowup) return None; // If no attributes were added or remove, the previous loop Id can be reused. if (!AlwaysNew && !Changed) return OrigLoopID; // No attributes is equivalent to having no !llvm.loop metadata at all. if (MDs.size() == 1) return nullptr; // Build the new loop ID. MDTuple *FollowupLoopID = MDNode::get(OrigLoopID->getContext(), MDs); FollowupLoopID->replaceOperandWith(0, FollowupLoopID); return FollowupLoopID; } bool llvm::hasDisableAllTransformsHint(const Loop *L) { return getBooleanLoopAttribute(L, LLVMLoopDisableNonforced); } bool llvm::hasDisableLICMTransformsHint(const Loop *L) { return getBooleanLoopAttribute(L, LLVMLoopDisableLICM); } TransformationMode llvm::hasUnrollTransformation(Loop *L) { if (getBooleanLoopAttribute(L, "llvm.loop.unroll.disable")) return TM_SuppressedByUser; Optional Count = getOptionalIntLoopAttribute(L, "llvm.loop.unroll.count"); if (Count.hasValue()) return Count.getValue() == 1 ? TM_SuppressedByUser : TM_ForcedByUser; if (getBooleanLoopAttribute(L, "llvm.loop.unroll.enable")) return TM_ForcedByUser; if (getBooleanLoopAttribute(L, "llvm.loop.unroll.full")) return TM_ForcedByUser; if (hasDisableAllTransformsHint(L)) return TM_Disable; return TM_Unspecified; } TransformationMode llvm::hasUnrollAndJamTransformation(Loop *L) { if (getBooleanLoopAttribute(L, "llvm.loop.unroll_and_jam.disable")) return TM_SuppressedByUser; Optional Count = getOptionalIntLoopAttribute(L, "llvm.loop.unroll_and_jam.count"); if (Count.hasValue()) return Count.getValue() == 1 ? TM_SuppressedByUser : TM_ForcedByUser; if (getBooleanLoopAttribute(L, "llvm.loop.unroll_and_jam.enable")) return TM_ForcedByUser; if (hasDisableAllTransformsHint(L)) return TM_Disable; return TM_Unspecified; } TransformationMode llvm::hasVectorizeTransformation(Loop *L) { Optional Enable = getOptionalBoolLoopAttribute(L, "llvm.loop.vectorize.enable"); if (Enable == false) return TM_SuppressedByUser; Optional VectorizeWidth = getOptionalIntLoopAttribute(L, "llvm.loop.vectorize.width"); Optional InterleaveCount = getOptionalIntLoopAttribute(L, "llvm.loop.interleave.count"); // 'Forcing' vector width and interleave count to one effectively disables // this tranformation. if (Enable == true && VectorizeWidth == 1 && InterleaveCount == 1) return TM_SuppressedByUser; if (getBooleanLoopAttribute(L, "llvm.loop.isvectorized")) return TM_Disable; if (Enable == true) return TM_ForcedByUser; if (VectorizeWidth == 1 && InterleaveCount == 1) return TM_Disable; if (VectorizeWidth > 1 || InterleaveCount > 1) return TM_Enable; if (hasDisableAllTransformsHint(L)) return TM_Disable; return TM_Unspecified; } TransformationMode llvm::hasDistributeTransformation(Loop *L) { if (getBooleanLoopAttribute(L, "llvm.loop.distribute.enable")) return TM_ForcedByUser; if (hasDisableAllTransformsHint(L)) return TM_Disable; return TM_Unspecified; } TransformationMode llvm::hasLICMVersioningTransformation(Loop *L) { if (getBooleanLoopAttribute(L, "llvm.loop.licm_versioning.disable")) return TM_SuppressedByUser; if (hasDisableAllTransformsHint(L)) return TM_Disable; return TM_Unspecified; } /// Does a BFS from a given node to all of its children inside a given loop. /// The returned vector of nodes includes the starting point. SmallVector llvm::collectChildrenInLoop(DomTreeNode *N, const Loop *CurLoop) { SmallVector Worklist; auto AddRegionToWorklist = [&](DomTreeNode *DTN) { // Only include subregions in the top level loop. BasicBlock *BB = DTN->getBlock(); if (CurLoop->contains(BB)) Worklist.push_back(DTN); }; AddRegionToWorklist(N); for (size_t I = 0; I < Worklist.size(); I++) { for (DomTreeNode *Child : Worklist[I]->children()) AddRegionToWorklist(Child); } return Worklist; } void llvm::deleteDeadLoop(Loop *L, DominatorTree *DT, ScalarEvolution *SE, LoopInfo *LI, MemorySSA *MSSA) { assert((!DT || L->isLCSSAForm(*DT)) && "Expected LCSSA!"); auto *Preheader = L->getLoopPreheader(); assert(Preheader && "Preheader should exist!"); std::unique_ptr MSSAU; if (MSSA) MSSAU = std::make_unique(MSSA); // Now that we know the removal is safe, remove the loop by changing the // branch from the preheader to go to the single exit block. // // Because we're deleting a large chunk of code at once, the sequence in which // we remove things is very important to avoid invalidation issues. // Tell ScalarEvolution that the loop is deleted. Do this before // deleting the loop so that ScalarEvolution can look at the loop // to determine what it needs to clean up. if (SE) SE->forgetLoop(L); auto *ExitBlock = L->getUniqueExitBlock(); assert(ExitBlock && "Should have a unique exit block!"); assert(L->hasDedicatedExits() && "Loop should have dedicated exits!"); auto *OldBr = dyn_cast(Preheader->getTerminator()); assert(OldBr && "Preheader must end with a branch"); assert(OldBr->isUnconditional() && "Preheader must have a single successor"); // Connect the preheader to the exit block. Keep the old edge to the header // around to perform the dominator tree update in two separate steps // -- #1 insertion of the edge preheader -> exit and #2 deletion of the edge // preheader -> header. // // // 0. Preheader 1. Preheader 2. Preheader // | | | | // V | V | // Header <--\ | Header <--\ | Header <--\ // | | | | | | | | | | | // | V | | | V | | | V | // | Body --/ | | Body --/ | | Body --/ // V V V V V // Exit Exit Exit // // By doing this is two separate steps we can perform the dominator tree // update without using the batch update API. // // Even when the loop is never executed, we cannot remove the edge from the // source block to the exit block. Consider the case where the unexecuted loop // branches back to an outer loop. If we deleted the loop and removed the edge // coming to this inner loop, this will break the outer loop structure (by // deleting the backedge of the outer loop). If the outer loop is indeed a // non-loop, it will be deleted in a future iteration of loop deletion pass. IRBuilder<> Builder(OldBr); Builder.CreateCondBr(Builder.getFalse(), L->getHeader(), ExitBlock); // Remove the old branch. The conditional branch becomes a new terminator. OldBr->eraseFromParent(); // Rewrite phis in the exit block to get their inputs from the Preheader // instead of the exiting block. for (PHINode &P : ExitBlock->phis()) { // Set the zero'th element of Phi to be from the preheader and remove all // other incoming values. Given the loop has dedicated exits, all other // incoming values must be from the exiting blocks. int PredIndex = 0; P.setIncomingBlock(PredIndex, Preheader); // Removes all incoming values from all other exiting blocks (including // duplicate values from an exiting block). // Nuke all entries except the zero'th entry which is the preheader entry. // NOTE! We need to remove Incoming Values in the reverse order as done // below, to keep the indices valid for deletion (removeIncomingValues // updates getNumIncomingValues and shifts all values down into the operand // being deleted). for (unsigned i = 0, e = P.getNumIncomingValues() - 1; i != e; ++i) P.removeIncomingValue(e - i, false); assert((P.getNumIncomingValues() == 1 && P.getIncomingBlock(PredIndex) == Preheader) && "Should have exactly one value and that's from the preheader!"); } DomTreeUpdater DTU(DT, DomTreeUpdater::UpdateStrategy::Eager); if (DT) { DTU.applyUpdates({{DominatorTree::Insert, Preheader, ExitBlock}}); if (MSSA) { MSSAU->applyUpdates({{DominatorTree::Insert, Preheader, ExitBlock}}, *DT); if (VerifyMemorySSA) MSSA->verifyMemorySSA(); } } // Disconnect the loop body by branching directly to its exit. Builder.SetInsertPoint(Preheader->getTerminator()); Builder.CreateBr(ExitBlock); // Remove the old branch. Preheader->getTerminator()->eraseFromParent(); if (DT) { DTU.applyUpdates({{DominatorTree::Delete, Preheader, L->getHeader()}}); if (MSSA) { MSSAU->applyUpdates({{DominatorTree::Delete, Preheader, L->getHeader()}}, *DT); SmallSetVector DeadBlockSet(L->block_begin(), L->block_end()); MSSAU->removeBlocks(DeadBlockSet); if (VerifyMemorySSA) MSSA->verifyMemorySSA(); } } // Use a map to unique and a vector to guarantee deterministic ordering. llvm::SmallDenseSet, 4> DeadDebugSet; llvm::SmallVector DeadDebugInst; // Given LCSSA form is satisfied, we should not have users of instructions // within the dead loop outside of the loop. However, LCSSA doesn't take // unreachable uses into account. We handle them here. // We could do it after drop all references (in this case all users in the // loop will be already eliminated and we have less work to do but according // to API doc of User::dropAllReferences only valid operation after dropping // references, is deletion. So let's substitute all usages of // instruction from the loop with undef value of corresponding type first. for (auto *Block : L->blocks()) for (Instruction &I : *Block) { auto *Undef = UndefValue::get(I.getType()); for (Value::use_iterator UI = I.use_begin(), E = I.use_end(); UI != E;) { Use &U = *UI; ++UI; if (auto *Usr = dyn_cast(U.getUser())) if (L->contains(Usr->getParent())) continue; // If we have a DT then we can check that uses outside a loop only in // unreachable block. if (DT) assert(!DT->isReachableFromEntry(U) && "Unexpected user in reachable block"); U.set(Undef); } auto *DVI = dyn_cast(&I); if (!DVI) continue; auto Key = DeadDebugSet.find({DVI->getVariable(), DVI->getExpression()}); if (Key != DeadDebugSet.end()) continue; DeadDebugSet.insert({DVI->getVariable(), DVI->getExpression()}); DeadDebugInst.push_back(DVI); } // After the loop has been deleted all the values defined and modified // inside the loop are going to be unavailable. // Since debug values in the loop have been deleted, inserting an undef // dbg.value truncates the range of any dbg.value before the loop where the // loop used to be. This is particularly important for constant values. DIBuilder DIB(*ExitBlock->getModule()); Instruction *InsertDbgValueBefore = ExitBlock->getFirstNonPHI(); assert(InsertDbgValueBefore && "There should be a non-PHI instruction in exit block, else these " "instructions will have no parent."); for (auto *DVI : DeadDebugInst) DIB.insertDbgValueIntrinsic(UndefValue::get(Builder.getInt32Ty()), DVI->getVariable(), DVI->getExpression(), DVI->getDebugLoc(), InsertDbgValueBefore); // Remove the block from the reference counting scheme, so that we can // delete it freely later. for (auto *Block : L->blocks()) Block->dropAllReferences(); if (MSSA && VerifyMemorySSA) MSSA->verifyMemorySSA(); if (LI) { // Erase the instructions and the blocks without having to worry // about ordering because we already dropped the references. // NOTE: This iteration is safe because erasing the block does not remove // its entry from the loop's block list. We do that in the next section. for (Loop::block_iterator LpI = L->block_begin(), LpE = L->block_end(); LpI != LpE; ++LpI) (*LpI)->eraseFromParent(); // Finally, the blocks from loopinfo. This has to happen late because // otherwise our loop iterators won't work. SmallPtrSet blocks; blocks.insert(L->block_begin(), L->block_end()); for (BasicBlock *BB : blocks) LI->removeBlock(BB); // The last step is to update LoopInfo now that we've eliminated this loop. // Note: LoopInfo::erase remove the given loop and relink its subloops with // its parent. While removeLoop/removeChildLoop remove the given loop but // not relink its subloops, which is what we want. if (Loop *ParentLoop = L->getParentLoop()) { Loop::iterator I = find(*ParentLoop, L); assert(I != ParentLoop->end() && "Couldn't find loop"); ParentLoop->removeChildLoop(I); } else { Loop::iterator I = find(*LI, L); assert(I != LI->end() && "Couldn't find loop"); LI->removeLoop(I); } LI->destroy(L); } } /// Checks if \p L has single exit through latch block except possibly /// "deoptimizing" exits. Returns branch instruction terminating the loop /// latch if above check is successful, nullptr otherwise. static BranchInst *getExpectedExitLoopLatchBranch(Loop *L) { BasicBlock *Latch = L->getLoopLatch(); if (!Latch) return nullptr; BranchInst *LatchBR = dyn_cast(Latch->getTerminator()); if (!LatchBR || LatchBR->getNumSuccessors() != 2 || !L->isLoopExiting(Latch)) return nullptr; assert((LatchBR->getSuccessor(0) == L->getHeader() || LatchBR->getSuccessor(1) == L->getHeader()) && "At least one edge out of the latch must go to the header"); SmallVector ExitBlocks; L->getUniqueNonLatchExitBlocks(ExitBlocks); if (any_of(ExitBlocks, [](const BasicBlock *EB) { return !EB->getTerminatingDeoptimizeCall(); })) return nullptr; return LatchBR; } Optional llvm::getLoopEstimatedTripCount(Loop *L, unsigned *EstimatedLoopInvocationWeight) { // Support loops with an exiting latch and other existing exists only // deoptimize. BranchInst *LatchBranch = getExpectedExitLoopLatchBranch(L); if (!LatchBranch) return None; // To estimate the number of times the loop body was executed, we want to // know the number of times the backedge was taken, vs. the number of times // we exited the loop. uint64_t BackedgeTakenWeight, LatchExitWeight; if (!LatchBranch->extractProfMetadata(BackedgeTakenWeight, LatchExitWeight)) return None; if (LatchBranch->getSuccessor(0) != L->getHeader()) std::swap(BackedgeTakenWeight, LatchExitWeight); if (!LatchExitWeight) return None; if (EstimatedLoopInvocationWeight) *EstimatedLoopInvocationWeight = LatchExitWeight; // Estimated backedge taken count is a ratio of the backedge taken weight by // the weight of the edge exiting the loop, rounded to nearest. uint64_t BackedgeTakenCount = llvm::divideNearest(BackedgeTakenWeight, LatchExitWeight); // Estimated trip count is one plus estimated backedge taken count. return BackedgeTakenCount + 1; } bool llvm::setLoopEstimatedTripCount(Loop *L, unsigned EstimatedTripCount, unsigned EstimatedloopInvocationWeight) { // Support loops with an exiting latch and other existing exists only // deoptimize. BranchInst *LatchBranch = getExpectedExitLoopLatchBranch(L); if (!LatchBranch) return false; // Calculate taken and exit weights. unsigned LatchExitWeight = 0; unsigned BackedgeTakenWeight = 0; if (EstimatedTripCount > 0) { LatchExitWeight = EstimatedloopInvocationWeight; BackedgeTakenWeight = (EstimatedTripCount - 1) * LatchExitWeight; } // Make a swap if back edge is taken when condition is "false". if (LatchBranch->getSuccessor(0) != L->getHeader()) std::swap(BackedgeTakenWeight, LatchExitWeight); MDBuilder MDB(LatchBranch->getContext()); // Set/Update profile metadata. LatchBranch->setMetadata( LLVMContext::MD_prof, MDB.createBranchWeights(BackedgeTakenWeight, LatchExitWeight)); return true; } bool llvm::hasIterationCountInvariantInParent(Loop *InnerLoop, ScalarEvolution &SE) { Loop *OuterL = InnerLoop->getParentLoop(); if (!OuterL) return true; // Get the backedge taken count for the inner loop BasicBlock *InnerLoopLatch = InnerLoop->getLoopLatch(); const SCEV *InnerLoopBECountSC = SE.getExitCount(InnerLoop, InnerLoopLatch); if (isa(InnerLoopBECountSC) || !InnerLoopBECountSC->getType()->isIntegerTy()) return false; // Get whether count is invariant to the outer loop ScalarEvolution::LoopDisposition LD = SE.getLoopDisposition(InnerLoopBECountSC, OuterL); if (LD != ScalarEvolution::LoopInvariant) return false; return true; } Value *llvm::createMinMaxOp(IRBuilderBase &Builder, RecurrenceDescriptor::MinMaxRecurrenceKind RK, Value *Left, Value *Right) { CmpInst::Predicate P = CmpInst::ICMP_NE; switch (RK) { default: llvm_unreachable("Unknown min/max recurrence kind"); case RecurrenceDescriptor::MRK_UIntMin: P = CmpInst::ICMP_ULT; break; case RecurrenceDescriptor::MRK_UIntMax: P = CmpInst::ICMP_UGT; break; case RecurrenceDescriptor::MRK_SIntMin: P = CmpInst::ICMP_SLT; break; case RecurrenceDescriptor::MRK_SIntMax: P = CmpInst::ICMP_SGT; break; case RecurrenceDescriptor::MRK_FloatMin: P = CmpInst::FCMP_OLT; break; case RecurrenceDescriptor::MRK_FloatMax: P = CmpInst::FCMP_OGT; break; } // We only match FP sequences that are 'fast', so we can unconditionally // set it on any generated instructions. IRBuilderBase::FastMathFlagGuard FMFG(Builder); FastMathFlags FMF; FMF.setFast(); Builder.setFastMathFlags(FMF); Value *Cmp = Builder.CreateCmp(P, Left, Right, "rdx.minmax.cmp"); Value *Select = Builder.CreateSelect(Cmp, Left, Right, "rdx.minmax.select"); return Select; } // Helper to generate an ordered reduction. Value * llvm::getOrderedReduction(IRBuilderBase &Builder, Value *Acc, Value *Src, unsigned Op, RecurrenceDescriptor::MinMaxRecurrenceKind MinMaxKind, ArrayRef RedOps) { unsigned VF = cast(Src->getType())->getNumElements(); // Extract and apply reduction ops in ascending order: // e.g. ((((Acc + Scl[0]) + Scl[1]) + Scl[2]) + ) ... + Scl[VF-1] Value *Result = Acc; for (unsigned ExtractIdx = 0; ExtractIdx != VF; ++ExtractIdx) { Value *Ext = Builder.CreateExtractElement(Src, Builder.getInt32(ExtractIdx)); if (Op != Instruction::ICmp && Op != Instruction::FCmp) { Result = Builder.CreateBinOp((Instruction::BinaryOps)Op, Result, Ext, "bin.rdx"); } else { assert(MinMaxKind != RecurrenceDescriptor::MRK_Invalid && "Invalid min/max"); Result = createMinMaxOp(Builder, MinMaxKind, Result, Ext); } if (!RedOps.empty()) propagateIRFlags(Result, RedOps); } return Result; } // Helper to generate a log2 shuffle reduction. Value * llvm::getShuffleReduction(IRBuilderBase &Builder, Value *Src, unsigned Op, RecurrenceDescriptor::MinMaxRecurrenceKind MinMaxKind, ArrayRef RedOps) { unsigned VF = cast(Src->getType())->getNumElements(); // VF is a power of 2 so we can emit the reduction using log2(VF) shuffles // and vector ops, reducing the set of values being computed by half each // round. assert(isPowerOf2_32(VF) && "Reduction emission only supported for pow2 vectors!"); Value *TmpVec = Src; SmallVector ShuffleMask(VF); for (unsigned i = VF; i != 1; i >>= 1) { // Move the upper half of the vector to the lower half. for (unsigned j = 0; j != i / 2; ++j) ShuffleMask[j] = i / 2 + j; // Fill the rest of the mask with undef. std::fill(&ShuffleMask[i / 2], ShuffleMask.end(), -1); Value *Shuf = Builder.CreateShuffleVector( TmpVec, UndefValue::get(TmpVec->getType()), ShuffleMask, "rdx.shuf"); if (Op != Instruction::ICmp && Op != Instruction::FCmp) { // The builder propagates its fast-math-flags setting. TmpVec = Builder.CreateBinOp((Instruction::BinaryOps)Op, TmpVec, Shuf, "bin.rdx"); } else { assert(MinMaxKind != RecurrenceDescriptor::MRK_Invalid && "Invalid min/max"); TmpVec = createMinMaxOp(Builder, MinMaxKind, TmpVec, Shuf); } if (!RedOps.empty()) propagateIRFlags(TmpVec, RedOps); // We may compute the reassociated scalar ops in a way that does not // preserve nsw/nuw etc. Conservatively, drop those flags. if (auto *ReductionInst = dyn_cast(TmpVec)) ReductionInst->dropPoisonGeneratingFlags(); } // The result is in the first element of the vector. return Builder.CreateExtractElement(TmpVec, Builder.getInt32(0)); } /// Create a simple vector reduction specified by an opcode and some /// flags (if generating min/max reductions). Value *llvm::createSimpleTargetReduction( IRBuilderBase &Builder, const TargetTransformInfo *TTI, unsigned Opcode, Value *Src, TargetTransformInfo::ReductionFlags Flags, ArrayRef RedOps) { auto *SrcVTy = cast(Src->getType()); std::function BuildFunc; using RD = RecurrenceDescriptor; RD::MinMaxRecurrenceKind MinMaxKind = RD::MRK_Invalid; switch (Opcode) { case Instruction::Add: BuildFunc = [&]() { return Builder.CreateAddReduce(Src); }; break; case Instruction::Mul: BuildFunc = [&]() { return Builder.CreateMulReduce(Src); }; break; case Instruction::And: BuildFunc = [&]() { return Builder.CreateAndReduce(Src); }; break; case Instruction::Or: BuildFunc = [&]() { return Builder.CreateOrReduce(Src); }; break; case Instruction::Xor: BuildFunc = [&]() { return Builder.CreateXorReduce(Src); }; break; case Instruction::FAdd: BuildFunc = [&]() { auto Rdx = Builder.CreateFAddReduce( Constant::getNullValue(SrcVTy->getElementType()), Src); return Rdx; }; break; case Instruction::FMul: BuildFunc = [&]() { Type *Ty = SrcVTy->getElementType(); auto Rdx = Builder.CreateFMulReduce(ConstantFP::get(Ty, 1.0), Src); return Rdx; }; break; case Instruction::ICmp: if (Flags.IsMaxOp) { MinMaxKind = Flags.IsSigned ? RD::MRK_SIntMax : RD::MRK_UIntMax; BuildFunc = [&]() { return Builder.CreateIntMaxReduce(Src, Flags.IsSigned); }; } else { MinMaxKind = Flags.IsSigned ? RD::MRK_SIntMin : RD::MRK_UIntMin; BuildFunc = [&]() { return Builder.CreateIntMinReduce(Src, Flags.IsSigned); }; } break; case Instruction::FCmp: if (Flags.IsMaxOp) { MinMaxKind = RD::MRK_FloatMax; BuildFunc = [&]() { return Builder.CreateFPMaxReduce(Src, Flags.NoNaN); }; } else { MinMaxKind = RD::MRK_FloatMin; BuildFunc = [&]() { return Builder.CreateFPMinReduce(Src, Flags.NoNaN); }; } break; default: llvm_unreachable("Unhandled opcode"); break; } if (ForceReductionIntrinsic || TTI->useReductionIntrinsic(Opcode, Src->getType(), Flags)) return BuildFunc(); return getShuffleReduction(Builder, Src, Opcode, MinMaxKind, RedOps); } /// Create a vector reduction using a given recurrence descriptor. Value *llvm::createTargetReduction(IRBuilderBase &B, const TargetTransformInfo *TTI, RecurrenceDescriptor &Desc, Value *Src, bool NoNaN) { // TODO: Support in-order reductions based on the recurrence descriptor. using RD = RecurrenceDescriptor; RD::RecurrenceKind RecKind = Desc.getRecurrenceKind(); TargetTransformInfo::ReductionFlags Flags; Flags.NoNaN = NoNaN; // All ops in the reduction inherit fast-math-flags from the recurrence // descriptor. IRBuilderBase::FastMathFlagGuard FMFGuard(B); B.setFastMathFlags(Desc.getFastMathFlags()); switch (RecKind) { case RD::RK_FloatAdd: return createSimpleTargetReduction(B, TTI, Instruction::FAdd, Src, Flags); case RD::RK_FloatMult: return createSimpleTargetReduction(B, TTI, Instruction::FMul, Src, Flags); case RD::RK_IntegerAdd: return createSimpleTargetReduction(B, TTI, Instruction::Add, Src, Flags); case RD::RK_IntegerMult: return createSimpleTargetReduction(B, TTI, Instruction::Mul, Src, Flags); case RD::RK_IntegerAnd: return createSimpleTargetReduction(B, TTI, Instruction::And, Src, Flags); case RD::RK_IntegerOr: return createSimpleTargetReduction(B, TTI, Instruction::Or, Src, Flags); case RD::RK_IntegerXor: return createSimpleTargetReduction(B, TTI, Instruction::Xor, Src, Flags); case RD::RK_IntegerMinMax: { RD::MinMaxRecurrenceKind MMKind = Desc.getMinMaxRecurrenceKind(); Flags.IsMaxOp = (MMKind == RD::MRK_SIntMax || MMKind == RD::MRK_UIntMax); Flags.IsSigned = (MMKind == RD::MRK_SIntMax || MMKind == RD::MRK_SIntMin); return createSimpleTargetReduction(B, TTI, Instruction::ICmp, Src, Flags); } case RD::RK_FloatMinMax: { Flags.IsMaxOp = Desc.getMinMaxRecurrenceKind() == RD::MRK_FloatMax; return createSimpleTargetReduction(B, TTI, Instruction::FCmp, Src, Flags); } default: llvm_unreachable("Unhandled RecKind"); } } void llvm::propagateIRFlags(Value *I, ArrayRef VL, Value *OpValue) { auto *VecOp = dyn_cast(I); if (!VecOp) return; auto *Intersection = (OpValue == nullptr) ? dyn_cast(VL[0]) : dyn_cast(OpValue); if (!Intersection) return; const unsigned Opcode = Intersection->getOpcode(); VecOp->copyIRFlags(Intersection); for (auto *V : VL) { auto *Instr = dyn_cast(V); if (!Instr) continue; if (OpValue == nullptr || Opcode == Instr->getOpcode()) VecOp->andIRFlags(V); } } bool llvm::isKnownNegativeInLoop(const SCEV *S, const Loop *L, ScalarEvolution &SE) { const SCEV *Zero = SE.getZero(S->getType()); return SE.isAvailableAtLoopEntry(S, L) && SE.isLoopEntryGuardedByCond(L, ICmpInst::ICMP_SLT, S, Zero); } bool llvm::isKnownNonNegativeInLoop(const SCEV *S, const Loop *L, ScalarEvolution &SE) { const SCEV *Zero = SE.getZero(S->getType()); return SE.isAvailableAtLoopEntry(S, L) && SE.isLoopEntryGuardedByCond(L, ICmpInst::ICMP_SGE, S, Zero); } bool llvm::cannotBeMinInLoop(const SCEV *S, const Loop *L, ScalarEvolution &SE, bool Signed) { unsigned BitWidth = cast(S->getType())->getBitWidth(); APInt Min = Signed ? APInt::getSignedMinValue(BitWidth) : APInt::getMinValue(BitWidth); auto Predicate = Signed ? ICmpInst::ICMP_SGT : ICmpInst::ICMP_UGT; return SE.isAvailableAtLoopEntry(S, L) && SE.isLoopEntryGuardedByCond(L, Predicate, S, SE.getConstant(Min)); } bool llvm::cannotBeMaxInLoop(const SCEV *S, const Loop *L, ScalarEvolution &SE, bool Signed) { unsigned BitWidth = cast(S->getType())->getBitWidth(); APInt Max = Signed ? APInt::getSignedMaxValue(BitWidth) : APInt::getMaxValue(BitWidth); auto Predicate = Signed ? ICmpInst::ICMP_SLT : ICmpInst::ICMP_ULT; return SE.isAvailableAtLoopEntry(S, L) && SE.isLoopEntryGuardedByCond(L, Predicate, S, SE.getConstant(Max)); } //===----------------------------------------------------------------------===// // rewriteLoopExitValues - Optimize IV users outside the loop. // As a side effect, reduces the amount of IV processing within the loop. //===----------------------------------------------------------------------===// // Return true if the SCEV expansion generated by the rewriter can replace the // original value. SCEV guarantees that it produces the same value, but the way // it is produced may be illegal IR. Ideally, this function will only be // called for verification. static bool isValidRewrite(ScalarEvolution *SE, Value *FromVal, Value *ToVal) { // If an SCEV expression subsumed multiple pointers, its expansion could // reassociate the GEP changing the base pointer. This is illegal because the // final address produced by a GEP chain must be inbounds relative to its // underlying object. Otherwise basic alias analysis, among other things, // could fail in a dangerous way. Ultimately, SCEV will be improved to avoid // producing an expression involving multiple pointers. Until then, we must // bail out here. // // Retrieve the pointer operand of the GEP. Don't use GetUnderlyingObject // because it understands lcssa phis while SCEV does not. Value *FromPtr = FromVal; Value *ToPtr = ToVal; if (auto *GEP = dyn_cast(FromVal)) FromPtr = GEP->getPointerOperand(); if (auto *GEP = dyn_cast(ToVal)) ToPtr = GEP->getPointerOperand(); if (FromPtr != FromVal || ToPtr != ToVal) { // Quickly check the common case if (FromPtr == ToPtr) return true; // SCEV may have rewritten an expression that produces the GEP's pointer // operand. That's ok as long as the pointer operand has the same base // pointer. Unlike GetUnderlyingObject(), getPointerBase() will find the // base of a recurrence. This handles the case in which SCEV expansion // converts a pointer type recurrence into a nonrecurrent pointer base // indexed by an integer recurrence. // If the GEP base pointer is a vector of pointers, abort. if (!FromPtr->getType()->isPointerTy() || !ToPtr->getType()->isPointerTy()) return false; const SCEV *FromBase = SE->getPointerBase(SE->getSCEV(FromPtr)); const SCEV *ToBase = SE->getPointerBase(SE->getSCEV(ToPtr)); if (FromBase == ToBase) return true; LLVM_DEBUG(dbgs() << "rewriteLoopExitValues: GEP rewrite bail out " << *FromBase << " != " << *ToBase << "\n"); return false; } return true; } static bool hasHardUserWithinLoop(const Loop *L, const Instruction *I) { SmallPtrSet Visited; SmallVector WorkList; Visited.insert(I); WorkList.push_back(I); while (!WorkList.empty()) { const Instruction *Curr = WorkList.pop_back_val(); // This use is outside the loop, nothing to do. if (!L->contains(Curr)) continue; // Do we assume it is a "hard" use which will not be eliminated easily? if (Curr->mayHaveSideEffects()) return true; // Otherwise, add all its users to worklist. for (auto U : Curr->users()) { auto *UI = cast(U); if (Visited.insert(UI).second) WorkList.push_back(UI); } } return false; } // Collect information about PHI nodes which can be transformed in // rewriteLoopExitValues. struct RewritePhi { PHINode *PN; // For which PHI node is this replacement? unsigned Ith; // For which incoming value? const SCEV *ExpansionSCEV; // The SCEV of the incoming value we are rewriting. Instruction *ExpansionPoint; // Where we'd like to expand that SCEV? bool HighCost; // Is this expansion a high-cost? Value *Expansion = nullptr; bool ValidRewrite = false; RewritePhi(PHINode *P, unsigned I, const SCEV *Val, Instruction *ExpansionPt, bool H) : PN(P), Ith(I), ExpansionSCEV(Val), ExpansionPoint(ExpansionPt), HighCost(H) {} }; // Check whether it is possible to delete the loop after rewriting exit // value. If it is possible, ignore ReplaceExitValue and do rewriting // aggressively. static bool canLoopBeDeleted(Loop *L, SmallVector &RewritePhiSet) { BasicBlock *Preheader = L->getLoopPreheader(); // If there is no preheader, the loop will not be deleted. if (!Preheader) return false; // In LoopDeletion pass Loop can be deleted when ExitingBlocks.size() > 1. // We obviate multiple ExitingBlocks case for simplicity. // TODO: If we see testcase with multiple ExitingBlocks can be deleted // after exit value rewriting, we can enhance the logic here. SmallVector ExitingBlocks; L->getExitingBlocks(ExitingBlocks); SmallVector ExitBlocks; L->getUniqueExitBlocks(ExitBlocks); if (ExitBlocks.size() != 1 || ExitingBlocks.size() != 1) return false; BasicBlock *ExitBlock = ExitBlocks[0]; BasicBlock::iterator BI = ExitBlock->begin(); while (PHINode *P = dyn_cast(BI)) { Value *Incoming = P->getIncomingValueForBlock(ExitingBlocks[0]); // If the Incoming value of P is found in RewritePhiSet, we know it // could be rewritten to use a loop invariant value in transformation // phase later. Skip it in the loop invariant check below. bool found = false; for (const RewritePhi &Phi : RewritePhiSet) { if (!Phi.ValidRewrite) continue; unsigned i = Phi.Ith; if (Phi.PN == P && (Phi.PN)->getIncomingValue(i) == Incoming) { found = true; break; } } Instruction *I; if (!found && (I = dyn_cast(Incoming))) if (!L->hasLoopInvariantOperands(I)) return false; ++BI; } for (auto *BB : L->blocks()) if (llvm::any_of(*BB, [](Instruction &I) { return I.mayHaveSideEffects(); })) return false; return true; } int llvm::rewriteLoopExitValues(Loop *L, LoopInfo *LI, TargetLibraryInfo *TLI, ScalarEvolution *SE, const TargetTransformInfo *TTI, SCEVExpander &Rewriter, DominatorTree *DT, ReplaceExitVal ReplaceExitValue, SmallVector &DeadInsts) { // Check a pre-condition. assert(L->isRecursivelyLCSSAForm(*DT, *LI) && "Indvars did not preserve LCSSA!"); SmallVector ExitBlocks; L->getUniqueExitBlocks(ExitBlocks); SmallVector RewritePhiSet; // Find all values that are computed inside the loop, but used outside of it. // Because of LCSSA, these values will only occur in LCSSA PHI Nodes. Scan // the exit blocks of the loop to find them. for (BasicBlock *ExitBB : ExitBlocks) { // If there are no PHI nodes in this exit block, then no values defined // inside the loop are used on this path, skip it. PHINode *PN = dyn_cast(ExitBB->begin()); if (!PN) continue; unsigned NumPreds = PN->getNumIncomingValues(); // Iterate over all of the PHI nodes. BasicBlock::iterator BBI = ExitBB->begin(); while ((PN = dyn_cast(BBI++))) { if (PN->use_empty()) continue; // dead use, don't replace it if (!SE->isSCEVable(PN->getType())) continue; // It's necessary to tell ScalarEvolution about this explicitly so that // it can walk the def-use list and forget all SCEVs, as it may not be // watching the PHI itself. Once the new exit value is in place, there // may not be a def-use connection between the loop and every instruction // which got a SCEVAddRecExpr for that loop. SE->forgetValue(PN); // Iterate over all of the values in all the PHI nodes. for (unsigned i = 0; i != NumPreds; ++i) { // If the value being merged in is not integer or is not defined // in the loop, skip it. Value *InVal = PN->getIncomingValue(i); if (!isa(InVal)) continue; // If this pred is for a subloop, not L itself, skip it. if (LI->getLoopFor(PN->getIncomingBlock(i)) != L) continue; // The Block is in a subloop, skip it. // Check that InVal is defined in the loop. Instruction *Inst = cast(InVal); if (!L->contains(Inst)) continue; // Okay, this instruction has a user outside of the current loop // and varies predictably *inside* the loop. Evaluate the value it // contains when the loop exits, if possible. We prefer to start with // expressions which are true for all exits (so as to maximize // expression reuse by the SCEVExpander), but resort to per-exit // evaluation if that fails. const SCEV *ExitValue = SE->getSCEVAtScope(Inst, L->getParentLoop()); if (isa(ExitValue) || !SE->isLoopInvariant(ExitValue, L) || !isSafeToExpand(ExitValue, *SE)) { // TODO: This should probably be sunk into SCEV in some way; maybe a // getSCEVForExit(SCEV*, L, ExitingBB)? It can be generalized for // most SCEV expressions and other recurrence types (e.g. shift // recurrences). Is there existing code we can reuse? const SCEV *ExitCount = SE->getExitCount(L, PN->getIncomingBlock(i)); if (isa(ExitCount)) continue; if (auto *AddRec = dyn_cast(SE->getSCEV(Inst))) if (AddRec->getLoop() == L) ExitValue = AddRec->evaluateAtIteration(ExitCount, *SE); if (isa(ExitValue) || !SE->isLoopInvariant(ExitValue, L) || !isSafeToExpand(ExitValue, *SE)) continue; } // Computing the value outside of the loop brings no benefit if it is // definitely used inside the loop in a way which can not be optimized // away. Avoid doing so unless we know we have a value which computes // the ExitValue already. TODO: This should be merged into SCEV // expander to leverage its knowledge of existing expressions. if (ReplaceExitValue != AlwaysRepl && !isa(ExitValue) && !isa(ExitValue) && hasHardUserWithinLoop(L, Inst)) continue; // Check if expansions of this SCEV would count as being high cost. bool HighCost = Rewriter.isHighCostExpansion( ExitValue, L, SCEVCheapExpansionBudget, TTI, Inst); // Note that we must not perform expansions until after // we query *all* the costs, because if we perform temporary expansion // inbetween, one that we might not intend to keep, said expansion // *may* affect cost calculation of the the next SCEV's we'll query, // and next SCEV may errneously get smaller cost. // Collect all the candidate PHINodes to be rewritten. RewritePhiSet.emplace_back(PN, i, ExitValue, Inst, HighCost); } } } // Now that we've done preliminary filtering and billed all the SCEV's, // we can perform the last sanity check - the expansion must be valid. for (RewritePhi &Phi : RewritePhiSet) { Phi.Expansion = Rewriter.expandCodeFor(Phi.ExpansionSCEV, Phi.PN->getType(), Phi.ExpansionPoint); LLVM_DEBUG(dbgs() << "rewriteLoopExitValues: AfterLoopVal = " << *(Phi.Expansion) << '\n' << " LoopVal = " << *(Phi.ExpansionPoint) << "\n"); // FIXME: isValidRewrite() is a hack. it should be an assert, eventually. Phi.ValidRewrite = isValidRewrite(SE, Phi.ExpansionPoint, Phi.Expansion); if (!Phi.ValidRewrite) { DeadInsts.push_back(Phi.Expansion); continue; } #ifndef NDEBUG // If we reuse an instruction from a loop which is neither L nor one of // its containing loops, we end up breaking LCSSA form for this loop by // creating a new use of its instruction. if (auto *ExitInsn = dyn_cast(Phi.Expansion)) if (auto *EVL = LI->getLoopFor(ExitInsn->getParent())) if (EVL != L) assert(EVL->contains(L) && "LCSSA breach detected!"); #endif } // TODO: after isValidRewrite() is an assertion, evaluate whether // it is beneficial to change how we calculate high-cost: // if we have SCEV 'A' which we know we will expand, should we calculate // the cost of other SCEV's after expanding SCEV 'A', // thus potentially giving cost bonus to those other SCEV's? bool LoopCanBeDel = canLoopBeDeleted(L, RewritePhiSet); int NumReplaced = 0; // Transformation. for (const RewritePhi &Phi : RewritePhiSet) { if (!Phi.ValidRewrite) continue; PHINode *PN = Phi.PN; Value *ExitVal = Phi.Expansion; // Only do the rewrite when the ExitValue can be expanded cheaply. // If LoopCanBeDel is true, rewrite exit value aggressively. if (ReplaceExitValue == OnlyCheapRepl && !LoopCanBeDel && Phi.HighCost) { DeadInsts.push_back(ExitVal); continue; } NumReplaced++; Instruction *Inst = cast(PN->getIncomingValue(Phi.Ith)); PN->setIncomingValue(Phi.Ith, ExitVal); // If this instruction is dead now, delete it. Don't do it now to avoid // invalidating iterators. if (isInstructionTriviallyDead(Inst, TLI)) DeadInsts.push_back(Inst); // Replace PN with ExitVal if that is legal and does not break LCSSA. if (PN->getNumIncomingValues() == 1 && LI->replacementPreservesLCSSAForm(PN, ExitVal)) { PN->replaceAllUsesWith(ExitVal); PN->eraseFromParent(); } } // The insertion point instruction may have been deleted; clear it out // so that the rewriter doesn't trip over it later. Rewriter.clearInsertPoint(); return NumReplaced; } /// Set weights for \p UnrolledLoop and \p RemainderLoop based on weights for /// \p OrigLoop. void llvm::setProfileInfoAfterUnrolling(Loop *OrigLoop, Loop *UnrolledLoop, Loop *RemainderLoop, uint64_t UF) { assert(UF > 0 && "Zero unrolled factor is not supported"); assert(UnrolledLoop != RemainderLoop && "Unrolled and Remainder loops are expected to distinct"); // Get number of iterations in the original scalar loop. unsigned OrigLoopInvocationWeight = 0; Optional OrigAverageTripCount = getLoopEstimatedTripCount(OrigLoop, &OrigLoopInvocationWeight); if (!OrigAverageTripCount) return; // Calculate number of iterations in unrolled loop. unsigned UnrolledAverageTripCount = *OrigAverageTripCount / UF; // Calculate number of iterations for remainder loop. unsigned RemainderAverageTripCount = *OrigAverageTripCount % UF; setLoopEstimatedTripCount(UnrolledLoop, UnrolledAverageTripCount, OrigLoopInvocationWeight); setLoopEstimatedTripCount(RemainderLoop, RemainderAverageTripCount, OrigLoopInvocationWeight); } /// Utility that implements appending of loops onto a worklist. /// Loops are added in preorder (analogous for reverse postorder for trees), /// and the worklist is processed LIFO. template void llvm::appendReversedLoopsToWorklist( RangeT &&Loops, SmallPriorityWorklist &Worklist) { // We use an internal worklist to build up the preorder traversal without // recursion. SmallVector PreOrderLoops, PreOrderWorklist; // We walk the initial sequence of loops in reverse because we generally want // to visit defs before uses and the worklist is LIFO. for (Loop *RootL : Loops) { assert(PreOrderLoops.empty() && "Must start with an empty preorder walk."); assert(PreOrderWorklist.empty() && "Must start with an empty preorder walk worklist."); PreOrderWorklist.push_back(RootL); do { Loop *L = PreOrderWorklist.pop_back_val(); PreOrderWorklist.append(L->begin(), L->end()); PreOrderLoops.push_back(L); } while (!PreOrderWorklist.empty()); Worklist.insert(std::move(PreOrderLoops)); PreOrderLoops.clear(); } } template void llvm::appendLoopsToWorklist(RangeT &&Loops, SmallPriorityWorklist &Worklist) { appendReversedLoopsToWorklist(reverse(Loops), Worklist); } template void llvm::appendLoopsToWorklist &>( ArrayRef &Loops, SmallPriorityWorklist &Worklist); template void llvm::appendLoopsToWorklist(Loop &L, SmallPriorityWorklist &Worklist); void llvm::appendLoopsToWorklist(LoopInfo &LI, SmallPriorityWorklist &Worklist) { appendReversedLoopsToWorklist(LI, Worklist); } Loop *llvm::cloneLoop(Loop *L, Loop *PL, ValueToValueMapTy &VM, LoopInfo *LI, LPPassManager *LPM) { Loop &New = *LI->AllocateLoop(); if (PL) PL->addChildLoop(&New); else LI->addTopLevelLoop(&New); if (LPM) LPM->addLoop(New); // Add all of the blocks in L to the new loop. for (Loop::block_iterator I = L->block_begin(), E = L->block_end(); I != E; ++I) if (LI->getLoopFor(*I) == L) New.addBasicBlockToLoop(cast(VM[*I]), *LI); // Add all of the subloops to the new loop. for (Loop *I : *L) cloneLoop(I, &New, VM, LI, LPM); return &New; } /// IR Values for the lower and upper bounds of a pointer evolution. We /// need to use value-handles because SCEV expansion can invalidate previously /// expanded values. Thus expansion of a pointer can invalidate the bounds for /// a previous one. struct PointerBounds { TrackingVH Start; TrackingVH End; }; /// Expand code for the lower and upper bound of the pointer group \p CG /// in \p TheLoop. \return the values for the bounds. static PointerBounds expandBounds(const RuntimeCheckingPtrGroup *CG, Loop *TheLoop, Instruction *Loc, SCEVExpander &Exp, ScalarEvolution *SE) { // TODO: Add helper to retrieve pointers to CG. Value *Ptr = CG->RtCheck.Pointers[CG->Members[0]].PointerValue; const SCEV *Sc = SE->getSCEV(Ptr); unsigned AS = Ptr->getType()->getPointerAddressSpace(); LLVMContext &Ctx = Loc->getContext(); // Use this type for pointer arithmetic. Type *PtrArithTy = Type::getInt8PtrTy(Ctx, AS); if (SE->isLoopInvariant(Sc, TheLoop)) { LLVM_DEBUG(dbgs() << "LAA: Adding RT check for a loop invariant ptr:" << *Ptr << "\n"); // Ptr could be in the loop body. If so, expand a new one at the correct // location. Instruction *Inst = dyn_cast(Ptr); Value *NewPtr = (Inst && TheLoop->contains(Inst)) ? Exp.expandCodeFor(Sc, PtrArithTy, Loc) : Ptr; // We must return a half-open range, which means incrementing Sc. const SCEV *ScPlusOne = SE->getAddExpr(Sc, SE->getOne(PtrArithTy)); Value *NewPtrPlusOne = Exp.expandCodeFor(ScPlusOne, PtrArithTy, Loc); return {NewPtr, NewPtrPlusOne}; } else { Value *Start = nullptr, *End = nullptr; LLVM_DEBUG(dbgs() << "LAA: Adding RT check for range:\n"); Start = Exp.expandCodeFor(CG->Low, PtrArithTy, Loc); End = Exp.expandCodeFor(CG->High, PtrArithTy, Loc); LLVM_DEBUG(dbgs() << "Start: " << *CG->Low << " End: " << *CG->High << "\n"); return {Start, End}; } } /// Turns a collection of checks into a collection of expanded upper and /// lower bounds for both pointers in the check. static SmallVector, 4> expandBounds(const SmallVectorImpl &PointerChecks, Loop *L, Instruction *Loc, ScalarEvolution *SE, SCEVExpander &Exp) { SmallVector, 4> ChecksWithBounds; // Here we're relying on the SCEV Expander's cache to only emit code for the // same bounds once. transform(PointerChecks, std::back_inserter(ChecksWithBounds), [&](const RuntimePointerCheck &Check) { PointerBounds First = expandBounds(Check.first, L, Loc, Exp, SE), Second = expandBounds(Check.second, L, Loc, Exp, SE); return std::make_pair(First, Second); }); return ChecksWithBounds; } std::pair llvm::addRuntimeChecks( Instruction *Loc, Loop *TheLoop, const SmallVectorImpl &PointerChecks, ScalarEvolution *SE) { // TODO: Move noalias annotation code from LoopVersioning here and share with LV if possible. // TODO: Pass RtPtrChecking instead of PointerChecks and SE separately, if possible const DataLayout &DL = TheLoop->getHeader()->getModule()->getDataLayout(); SCEVExpander Exp(*SE, DL, "induction"); auto ExpandedChecks = expandBounds(PointerChecks, TheLoop, Loc, SE, Exp); LLVMContext &Ctx = Loc->getContext(); Instruction *FirstInst = nullptr; IRBuilder<> ChkBuilder(Loc); // Our instructions might fold to a constant. Value *MemoryRuntimeCheck = nullptr; // FIXME: this helper is currently a duplicate of the one in // LoopVectorize.cpp. auto GetFirstInst = [](Instruction *FirstInst, Value *V, Instruction *Loc) -> Instruction * { if (FirstInst) return FirstInst; if (Instruction *I = dyn_cast(V)) return I->getParent() == Loc->getParent() ? I : nullptr; return nullptr; }; for (const auto &Check : ExpandedChecks) { const PointerBounds &A = Check.first, &B = Check.second; // Check if two pointers (A and B) conflict where conflict is computed as: // start(A) <= end(B) && start(B) <= end(A) unsigned AS0 = A.Start->getType()->getPointerAddressSpace(); unsigned AS1 = B.Start->getType()->getPointerAddressSpace(); assert((AS0 == B.End->getType()->getPointerAddressSpace()) && (AS1 == A.End->getType()->getPointerAddressSpace()) && "Trying to bounds check pointers with different address spaces"); Type *PtrArithTy0 = Type::getInt8PtrTy(Ctx, AS0); Type *PtrArithTy1 = Type::getInt8PtrTy(Ctx, AS1); Value *Start0 = ChkBuilder.CreateBitCast(A.Start, PtrArithTy0, "bc"); Value *Start1 = ChkBuilder.CreateBitCast(B.Start, PtrArithTy1, "bc"); Value *End0 = ChkBuilder.CreateBitCast(A.End, PtrArithTy1, "bc"); Value *End1 = ChkBuilder.CreateBitCast(B.End, PtrArithTy0, "bc"); // [A|B].Start points to the first accessed byte under base [A|B]. // [A|B].End points to the last accessed byte, plus one. // There is no conflict when the intervals are disjoint: // NoConflict = (B.Start >= A.End) || (A.Start >= B.End) // // bound0 = (B.Start < A.End) // bound1 = (A.Start < B.End) // IsConflict = bound0 & bound1 Value *Cmp0 = ChkBuilder.CreateICmpULT(Start0, End1, "bound0"); FirstInst = GetFirstInst(FirstInst, Cmp0, Loc); Value *Cmp1 = ChkBuilder.CreateICmpULT(Start1, End0, "bound1"); FirstInst = GetFirstInst(FirstInst, Cmp1, Loc); Value *IsConflict = ChkBuilder.CreateAnd(Cmp0, Cmp1, "found.conflict"); FirstInst = GetFirstInst(FirstInst, IsConflict, Loc); if (MemoryRuntimeCheck) { IsConflict = ChkBuilder.CreateOr(MemoryRuntimeCheck, IsConflict, "conflict.rdx"); FirstInst = GetFirstInst(FirstInst, IsConflict, Loc); } MemoryRuntimeCheck = IsConflict; } if (!MemoryRuntimeCheck) return std::make_pair(nullptr, nullptr); // We have to do this trickery because the IRBuilder might fold the check to a // constant expression in which case there is no Instruction anchored in a // the block. Instruction *Check = BinaryOperator::CreateAnd(MemoryRuntimeCheck, ConstantInt::getTrue(Ctx)); ChkBuilder.Insert(Check, "memcheck.conflict"); FirstInst = GetFirstInst(FirstInst, Check, Loc); return std::make_pair(FirstInst, Check); }