#include "llvm/Transforms/Scalar.h"
#include "llvm/ADT/SetVector.h"
+#include "llvm/Analysis/GlobalsModRef.h"
#include "llvm/Analysis/AssumptionCache.h"
#include "llvm/Analysis/CodeMetrics.h"
+#include "llvm/Analysis/InstructionSimplify.h"
#include "llvm/Analysis/LoopPass.h"
#include "llvm/Analysis/ScalarEvolution.h"
#include "llvm/Analysis/ScalarEvolutionExpressions.h"
#include "llvm/IR/DataLayout.h"
#include "llvm/IR/DiagnosticInfo.h"
#include "llvm/IR/Dominators.h"
+#include "llvm/IR/InstVisitor.h"
#include "llvm/IR/IntrinsicInst.h"
#include "llvm/IR/Metadata.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/raw_ostream.h"
#include "llvm/Transforms/Utils/UnrollLoop.h"
-#include "llvm/IR/InstVisitor.h"
-#include "llvm/Analysis/InstructionSimplify.h"
#include <climits>
using namespace llvm;
#define DEBUG_TYPE "loop-unroll"
static cl::opt<unsigned>
-UnrollThreshold("unroll-threshold", cl::init(150), cl::Hidden,
- cl::desc("The cut-off point for automatic loop unrolling"));
+ UnrollThreshold("unroll-threshold", cl::init(150), cl::Hidden,
+ cl::desc("The baseline cost threshold for loop unrolling"));
+
+static cl::opt<unsigned> UnrollPercentDynamicCostSavedThreshold(
+ "unroll-percent-dynamic-cost-saved-threshold", cl::init(20), cl::Hidden,
+ cl::desc("The percentage of estimated dynamic cost which must be saved by "
+ "unrolling to allow unrolling up to the max threshold."));
+
+static cl::opt<unsigned> UnrollDynamicCostSavingsDiscount(
+ "unroll-dynamic-cost-savings-discount", cl::init(2000), cl::Hidden,
+ cl::desc("This is the amount discounted from the total unroll cost when "
+ "the unrolled form has a high dynamic cost savings (triggered by "
+ "the '-unroll-perecent-dynamic-cost-saved-threshold' flag)."));
static cl::opt<unsigned> UnrollMaxIterationsCountToAnalyze(
- "unroll-max-iteration-count-to-analyze", cl::init(1000), cl::Hidden,
+ "unroll-max-iteration-count-to-analyze", cl::init(0), cl::Hidden,
cl::desc("Don't allow loop unrolling to simulate more than this number of"
"iterations when checking full unroll profitability"));
-static cl::opt<unsigned> UnrollMinPercentOfOptimized(
- "unroll-percent-of-optimized-for-complete-unroll", cl::init(20), cl::Hidden,
- cl::desc("If complete unrolling could trigger further optimizations, and, "
- "by that, remove the given percent of instructions, perform the "
- "complete unroll even if it's beyond the threshold"));
-
-static cl::opt<unsigned> UnrollAbsoluteThreshold(
- "unroll-absolute-threshold", cl::init(2000), cl::Hidden,
- cl::desc("Don't unroll if the unrolled size is bigger than this threshold,"
- " even if we can remove big portion of instructions later."));
-
static cl::opt<unsigned>
UnrollCount("unroll-count", cl::init(0), cl::Hidden,
cl::desc("Use this unroll count for all loops including those with "
static char ID; // Pass ID, replacement for typeid
LoopUnroll(int T = -1, int C = -1, int P = -1, int R = -1) : LoopPass(ID) {
CurrentThreshold = (T == -1) ? UnrollThreshold : unsigned(T);
- CurrentAbsoluteThreshold = UnrollAbsoluteThreshold;
- CurrentMinPercentOfOptimized = UnrollMinPercentOfOptimized;
+ CurrentPercentDynamicCostSavedThreshold =
+ UnrollPercentDynamicCostSavedThreshold;
+ CurrentDynamicCostSavingsDiscount = UnrollDynamicCostSavingsDiscount;
CurrentCount = (C == -1) ? UnrollCount : unsigned(C);
CurrentAllowPartial = (P == -1) ? UnrollAllowPartial : (bool)P;
CurrentRuntime = (R == -1) ? UnrollRuntime : (bool)R;
UserThreshold = (T != -1) || (UnrollThreshold.getNumOccurrences() > 0);
- UserAbsoluteThreshold = (UnrollAbsoluteThreshold.getNumOccurrences() > 0);
- UserPercentOfOptimized =
- (UnrollMinPercentOfOptimized.getNumOccurrences() > 0);
+ UserPercentDynamicCostSavedThreshold =
+ (UnrollPercentDynamicCostSavedThreshold.getNumOccurrences() > 0);
+ UserDynamicCostSavingsDiscount =
+ (UnrollDynamicCostSavingsDiscount.getNumOccurrences() > 0);
UserAllowPartial = (P != -1) ||
(UnrollAllowPartial.getNumOccurrences() > 0);
UserRuntime = (R != -1) || (UnrollRuntime.getNumOccurrences() > 0);
unsigned CurrentCount;
unsigned CurrentThreshold;
- unsigned CurrentAbsoluteThreshold;
- unsigned CurrentMinPercentOfOptimized;
- bool CurrentAllowPartial;
- bool CurrentRuntime;
- bool UserCount; // CurrentCount is user-specified.
- bool UserThreshold; // CurrentThreshold is user-specified.
- bool UserAbsoluteThreshold; // CurrentAbsoluteThreshold is
- // user-specified.
- bool UserPercentOfOptimized; // CurrentMinPercentOfOptimized is
- // user-specified.
- bool UserAllowPartial; // CurrentAllowPartial is user-specified.
- bool UserRuntime; // CurrentRuntime is user-specified.
+ unsigned CurrentPercentDynamicCostSavedThreshold;
+ unsigned CurrentDynamicCostSavingsDiscount;
+ bool CurrentAllowPartial;
+ bool CurrentRuntime;
+
+ // Flags for whether the 'current' settings are user-specified.
+ bool UserCount;
+ bool UserThreshold;
+ bool UserPercentDynamicCostSavedThreshold;
+ bool UserDynamicCostSavingsDiscount;
+ bool UserAllowPartial;
+ bool UserRuntime;
bool runOnLoop(Loop *L, LPPassManager &LPM) override;
///
void getAnalysisUsage(AnalysisUsage &AU) const override {
AU.addRequired<AssumptionCacheTracker>();
+ AU.addRequired<DominatorTreeWrapperPass>();
AU.addRequired<LoopInfoWrapperPass>();
AU.addPreserved<LoopInfoWrapperPass>();
AU.addRequiredID(LoopSimplifyID);
AU.addPreservedID(LoopSimplifyID);
AU.addRequiredID(LCSSAID);
AU.addPreservedID(LCSSAID);
- AU.addRequired<ScalarEvolution>();
- AU.addPreserved<ScalarEvolution>();
+ AU.addRequired<ScalarEvolutionWrapperPass>();
+ AU.addPreserved<ScalarEvolutionWrapperPass>();
AU.addRequired<TargetTransformInfoWrapperPass>();
// FIXME: Loop unroll requires LCSSA. And LCSSA requires dom info.
// If loop unroll does not preserve dom info then LCSSA pass on next
// loop will receive invalid dom info.
// For now, recreate dom info, if loop is unrolled.
AU.addPreserved<DominatorTreeWrapperPass>();
+ AU.addPreserved<GlobalsAAWrapperPass>();
}
// Fill in the UnrollingPreferences parameter with values from the
void getUnrollingPreferences(Loop *L, const TargetTransformInfo &TTI,
TargetTransformInfo::UnrollingPreferences &UP) {
UP.Threshold = CurrentThreshold;
- UP.AbsoluteThreshold = CurrentAbsoluteThreshold;
- UP.MinPercentOfOptimized = CurrentMinPercentOfOptimized;
+ UP.PercentDynamicCostSavedThreshold =
+ CurrentPercentDynamicCostSavedThreshold;
+ UP.DynamicCostSavingsDiscount = CurrentDynamicCostSavingsDiscount;
UP.OptSizeThreshold = OptSizeUnrollThreshold;
UP.PartialThreshold = CurrentThreshold;
UP.PartialOptSizeThreshold = OptSizeUnrollThreshold;
UP.MaxCount = UINT_MAX;
UP.Partial = CurrentAllowPartial;
UP.Runtime = CurrentRuntime;
+ UP.AllowExpensiveTripCount = false;
TTI.getUnrollingPreferences(L, UP);
}
// total unrolled size. Parameters Threshold and PartialThreshold
// are set to the maximum unrolled size for fully and partially
// unrolled loops respectively.
- void selectThresholds(const Loop *L, bool HasPragma,
+ void selectThresholds(const Loop *L, bool UsePragmaThreshold,
const TargetTransformInfo::UnrollingPreferences &UP,
unsigned &Threshold, unsigned &PartialThreshold,
- unsigned NumberOfOptimizedInstructions) {
+ unsigned &PercentDynamicCostSavedThreshold,
+ unsigned &DynamicCostSavingsDiscount) {
// Determine the current unrolling threshold. While this is
// normally set from UnrollThreshold, it is overridden to a
// smaller value if the current function is marked as
// optimize-for-size, and the unroll threshold was not user
// specified.
Threshold = UserThreshold ? CurrentThreshold : UP.Threshold;
-
- // If we are allowed to completely unroll if we can remove M% of
- // instructions, and we know that with complete unrolling we'll be able
- // to kill N instructions, then we can afford to completely unroll loops
- // with unrolled size up to N*100/M.
- // Adjust the threshold according to that:
- unsigned PercentOfOptimizedForCompleteUnroll =
- UserPercentOfOptimized ? CurrentMinPercentOfOptimized
- : UP.MinPercentOfOptimized;
- unsigned AbsoluteThreshold = UserAbsoluteThreshold
- ? CurrentAbsoluteThreshold
- : UP.AbsoluteThreshold;
- if (PercentOfOptimizedForCompleteUnroll)
- Threshold = std::max<unsigned>(Threshold,
- NumberOfOptimizedInstructions * 100 /
- PercentOfOptimizedForCompleteUnroll);
- // But don't allow unrolling loops bigger than absolute threshold.
- Threshold = std::min<unsigned>(Threshold, AbsoluteThreshold);
-
PartialThreshold = UserThreshold ? CurrentThreshold : UP.PartialThreshold;
+ PercentDynamicCostSavedThreshold =
+ UserPercentDynamicCostSavedThreshold
+ ? CurrentPercentDynamicCostSavedThreshold
+ : UP.PercentDynamicCostSavedThreshold;
+ DynamicCostSavingsDiscount = UserDynamicCostSavingsDiscount
+ ? CurrentDynamicCostSavingsDiscount
+ : UP.DynamicCostSavingsDiscount;
+
if (!UserThreshold &&
- L->getHeader()->getParent()->getAttributes().
- hasAttribute(AttributeSet::FunctionIndex,
- Attribute::OptimizeForSize)) {
+ // FIXME: Use Function::optForSize().
+ L->getHeader()->getParent()->hasFnAttribute(
+ Attribute::OptimizeForSize)) {
Threshold = UP.OptSizeThreshold;
PartialThreshold = UP.PartialOptSizeThreshold;
}
- if (HasPragma) {
+ if (UsePragmaThreshold) {
// If the loop has an unrolling pragma, we want to be more
// aggressive with unrolling limits. Set thresholds to at
// least the PragmaTheshold value which is larger than the
std::max<unsigned>(PartialThreshold, PragmaUnrollThreshold);
}
}
+ bool canUnrollCompletely(Loop *L, unsigned Threshold,
+ unsigned PercentDynamicCostSavedThreshold,
+ unsigned DynamicCostSavingsDiscount,
+ uint64_t UnrolledCost, uint64_t RolledDynamicCost);
};
}
INITIALIZE_PASS_BEGIN(LoopUnroll, "loop-unroll", "Unroll loops", false, false)
INITIALIZE_PASS_DEPENDENCY(TargetTransformInfoWrapperPass)
INITIALIZE_PASS_DEPENDENCY(AssumptionCacheTracker)
+INITIALIZE_PASS_DEPENDENCY(DominatorTreeWrapperPass)
INITIALIZE_PASS_DEPENDENCY(LoopInfoWrapperPass)
INITIALIZE_PASS_DEPENDENCY(LoopSimplify)
INITIALIZE_PASS_DEPENDENCY(LCSSA)
-INITIALIZE_PASS_DEPENDENCY(ScalarEvolution)
+INITIALIZE_PASS_DEPENDENCY(ScalarEvolutionWrapperPass)
INITIALIZE_PASS_END(LoopUnroll, "loop-unroll", "Unroll loops", false, false)
Pass *llvm::createLoopUnrollPass(int Threshold, int Count, int AllowPartial,
return llvm::createLoopUnrollPass(-1, -1, 0, 0);
}
-static bool isLoadFromConstantInitializer(Value *V) {
- if (GlobalVariable *GV = dyn_cast<GlobalVariable>(V))
- if (GV->isConstant() && GV->hasDefinitiveInitializer())
- return GV->getInitializer();
- return false;
-}
-
-struct FindConstantPointers {
- bool LoadCanBeConstantFolded;
- bool IndexIsConstant;
- APInt Step;
- APInt StartValue;
- Value *BaseAddress;
- const Loop *L;
- ScalarEvolution &SE;
- FindConstantPointers(const Loop *loop, ScalarEvolution &SE)
- : LoadCanBeConstantFolded(true), IndexIsConstant(true), L(loop), SE(SE) {}
-
- bool follow(const SCEV *S) {
- if (const SCEVUnknown *SC = dyn_cast<SCEVUnknown>(S)) {
- // We've reached the leaf node of SCEV, it's most probably just a
- // variable. Now it's time to see if it corresponds to a global constant
- // global (in which case we can eliminate the load), or not.
- BaseAddress = SC->getValue();
- LoadCanBeConstantFolded =
- IndexIsConstant && isLoadFromConstantInitializer(BaseAddress);
- return false;
- }
- if (isa<SCEVConstant>(S))
- return true;
- if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S)) {
- // If the current SCEV expression is AddRec, and its loop isn't the loop
- // we are about to unroll, then we won't get a constant address after
- // unrolling, and thus, won't be able to eliminate the load.
- if (AR->getLoop() != L)
- return IndexIsConstant = false;
- // If the step isn't constant, we won't get constant addresses in unrolled
- // version. Bail out.
- if (const SCEVConstant *StepSE =
- dyn_cast<SCEVConstant>(AR->getStepRecurrence(SE)))
- Step = StepSE->getValue()->getValue();
- else
- return IndexIsConstant = false;
-
- return IndexIsConstant;
- }
- // If Result is true, continue traversal.
- // Otherwise, we have found something that prevents us from (possible) load
- // elimination.
- return IndexIsConstant;
- }
- bool isDone() const { return !IndexIsConstant; }
-};
-
+namespace {
// This class is used to get an estimate of the optimization effects that we
// could get from complete loop unrolling. It comes from the fact that some
// loads might be replaced with concrete constant values and that could trigger
// v = b[0]* 0 + b[1]* 1 + b[2]* 0
// And finally:
// v = b[1]
-class UnrollAnalyzer : public InstVisitor<UnrollAnalyzer, bool> {
- typedef InstVisitor<UnrollAnalyzer, bool> Base;
- friend class InstVisitor<UnrollAnalyzer, bool>;
+class UnrolledInstAnalyzer : private InstVisitor<UnrolledInstAnalyzer, bool> {
+ typedef InstVisitor<UnrolledInstAnalyzer, bool> Base;
+ friend class InstVisitor<UnrolledInstAnalyzer, bool>;
+ struct SimplifiedAddress {
+ Value *Base = nullptr;
+ ConstantInt *Offset = nullptr;
+ };
+
+public:
+ UnrolledInstAnalyzer(unsigned Iteration,
+ DenseMap<Value *, Constant *> &SimplifiedValues,
+ const Loop *L, ScalarEvolution &SE)
+ : Iteration(Iteration), SimplifiedValues(SimplifiedValues), L(L), SE(SE) {
+ IterationNumber = SE.getConstant(APInt(64, Iteration));
+ }
+
+ // Allow access to the initial visit method.
+ using Base::visit;
+
+private:
+ /// \brief A cache of pointer bases and constant-folded offsets corresponding
+ /// to GEP (or derived from GEP) instructions.
+ ///
+ /// In order to find the base pointer one needs to perform non-trivial
+ /// traversal of the corresponding SCEV expression, so it's good to have the
+ /// results saved.
+ DenseMap<Value *, SimplifiedAddress> SimplifiedAddresses;
+
+ /// \brief Number of currently simulated iteration.
+ ///
+ /// If an expression is ConstAddress+Constant, then the Constant is
+ /// Start + Iteration*Step, where Start and Step could be obtained from
+ /// SCEVGEPCache.
+ unsigned Iteration;
+
+ /// \brief SCEV expression corresponding to number of currently simulated
+ /// iteration.
+ const SCEV *IterationNumber;
+
+ /// \brief A Value->Constant map for keeping values that we managed to
+ /// constant-fold on the given iteration.
+ ///
+ /// While we walk the loop instructions, we build up and maintain a mapping
+ /// of simplified values specific to this iteration. The idea is to propagate
+ /// any special information we have about loads that can be replaced with
+ /// constants after complete unrolling, and account for likely simplifications
+ /// post-unrolling.
+ DenseMap<Value *, Constant *> &SimplifiedValues;
const Loop *L;
- unsigned TripCount;
ScalarEvolution &SE;
- const TargetTransformInfo &TTI;
- DenseMap<Value *, Constant *> SimplifiedValues;
- DenseMap<LoadInst *, Value *> LoadBaseAddresses;
- SmallPtrSet<Instruction *, 32> CountedInstructions;
-
- /// \brief Count the number of optimized instructions.
- unsigned NumberOfOptimizedInstructions;
-
- // Provide base case for our instruction visit.
- bool visitInstruction(Instruction &I) { return false; };
- // TODO: We should also visit ICmp, FCmp, GetElementPtr, Trunc, ZExt, SExt,
- // FPTrunc, FPExt, FPToUI, FPToSI, UIToFP, SIToFP, BitCast, Select,
- // ExtractElement, InsertElement, ShuffleVector, ExtractValue, InsertValue.
- //
- // Probaly it's worth to hoist the code for estimating the simplifications
- // effects to a separate class, since we have a very similar code in
- // InlineCost already.
+ /// \brief Try to simplify instruction \param I using its SCEV expression.
+ ///
+ /// The idea is that some AddRec expressions become constants, which then
+ /// could trigger folding of other instructions. However, that only happens
+ /// for expressions whose start value is also constant, which isn't always the
+ /// case. In another common and important case the start value is just some
+ /// address (i.e. SCEVUnknown) - in this case we compute the offset and save
+ /// it along with the base address instead.
+ bool simplifyInstWithSCEV(Instruction *I) {
+ if (!SE.isSCEVable(I->getType()))
+ return false;
+
+ const SCEV *S = SE.getSCEV(I);
+ if (auto *SC = dyn_cast<SCEVConstant>(S)) {
+ SimplifiedValues[I] = SC->getValue();
+ return true;
+ }
+
+ auto *AR = dyn_cast<SCEVAddRecExpr>(S);
+ if (!AR)
+ return false;
+
+ const SCEV *ValueAtIteration = AR->evaluateAtIteration(IterationNumber, SE);
+ // Check if the AddRec expression becomes a constant.
+ if (auto *SC = dyn_cast<SCEVConstant>(ValueAtIteration)) {
+ SimplifiedValues[I] = SC->getValue();
+ return true;
+ }
+
+ // Check if the offset from the base address becomes a constant.
+ auto *Base = dyn_cast<SCEVUnknown>(SE.getPointerBase(S));
+ if (!Base)
+ return false;
+ auto *Offset =
+ dyn_cast<SCEVConstant>(SE.getMinusSCEV(ValueAtIteration, Base));
+ if (!Offset)
+ return false;
+ SimplifiedAddress Address;
+ Address.Base = Base->getValue();
+ Address.Offset = Offset->getValue();
+ SimplifiedAddresses[I] = Address;
+ return true;
+ }
+
+ /// Base case for the instruction visitor.
+ bool visitInstruction(Instruction &I) {
+ return simplifyInstWithSCEV(&I);
+ }
+
+ /// Try to simplify binary operator I.
+ ///
+ /// TODO: Probably it's worth to hoist the code for estimating the
+ /// simplifications effects to a separate class, since we have a very similar
+ /// code in InlineCost already.
bool visitBinaryOperator(BinaryOperator &I) {
Value *LHS = I.getOperand(0), *RHS = I.getOperand(1);
if (!isa<Constant>(LHS))
if (!isa<Constant>(RHS))
if (Constant *SimpleRHS = SimplifiedValues.lookup(RHS))
RHS = SimpleRHS;
+
Value *SimpleV = nullptr;
+ const DataLayout &DL = I.getModule()->getDataLayout();
if (auto FI = dyn_cast<FPMathOperator>(&I))
SimpleV =
- SimplifyFPBinOp(I.getOpcode(), LHS, RHS, FI->getFastMathFlags());
+ SimplifyFPBinOp(I.getOpcode(), LHS, RHS, FI->getFastMathFlags(), DL);
else
- SimpleV = SimplifyBinOp(I.getOpcode(), LHS, RHS);
+ SimpleV = SimplifyBinOp(I.getOpcode(), LHS, RHS, DL);
- if (SimpleV && CountedInstructions.insert(&I).second)
- NumberOfOptimizedInstructions += TTI.getUserCost(&I);
-
- if (Constant *C = dyn_cast_or_null<Constant>(SimpleV)) {
+ if (Constant *C = dyn_cast_or_null<Constant>(SimpleV))
SimplifiedValues[&I] = C;
+
+ if (SimpleV)
return true;
- }
- return false;
+ return Base::visitBinaryOperator(I);
}
- Constant *computeLoadValue(LoadInst *LI, unsigned Iteration) {
- if (!LI)
- return nullptr;
- Value *BaseAddr = LoadBaseAddresses[LI];
- if (!BaseAddr)
- return nullptr;
+ /// Try to fold load I.
+ bool visitLoad(LoadInst &I) {
+ Value *AddrOp = I.getPointerOperand();
- auto GV = dyn_cast<GlobalVariable>(BaseAddr);
- if (!GV)
- return nullptr;
+ auto AddressIt = SimplifiedAddresses.find(AddrOp);
+ if (AddressIt == SimplifiedAddresses.end())
+ return false;
+ ConstantInt *SimplifiedAddrOp = AddressIt->second.Offset;
+
+ auto *GV = dyn_cast<GlobalVariable>(AddressIt->second.Base);
+ // We're only interested in loads that can be completely folded to a
+ // constant.
+ if (!GV || !GV->hasInitializer() || !GV->isConstant())
+ return false;
ConstantDataSequential *CDS =
dyn_cast<ConstantDataSequential>(GV->getInitializer());
if (!CDS)
- return nullptr;
-
- const SCEV *BaseAddrSE = SE.getSCEV(BaseAddr);
- const SCEV *S = SE.getSCEV(LI->getPointerOperand());
- const SCEV *OffSE = SE.getMinusSCEV(S, BaseAddrSE);
+ return false;
- APInt StepC, StartC;
- const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(OffSE);
- if (!AR)
- return nullptr;
+ int ElemSize = CDS->getElementType()->getPrimitiveSizeInBits() / 8U;
+ assert(SimplifiedAddrOp->getValue().getActiveBits() < 64 &&
+ "Unexpectedly large index value.");
+ int64_t Index = SimplifiedAddrOp->getSExtValue() / ElemSize;
+ if (Index >= CDS->getNumElements()) {
+ // FIXME: For now we conservatively ignore out of bound accesses, but
+ // we're allowed to perform the optimization in this case.
+ return false;
+ }
- if (const SCEVConstant *StepSE =
- dyn_cast<SCEVConstant>(AR->getStepRecurrence(SE)))
- StepC = StepSE->getValue()->getValue();
- else
- return nullptr;
+ Constant *CV = CDS->getElementAsConstant(Index);
+ assert(CV && "Constant expected.");
+ SimplifiedValues[&I] = CV;
- if (const SCEVConstant *StartSE = dyn_cast<SCEVConstant>(AR->getStart()))
- StartC = StartSE->getValue()->getValue();
- else
- return nullptr;
+ return true;
+ }
- unsigned ElemSize = CDS->getElementType()->getPrimitiveSizeInBits() / 8U;
- unsigned Start = StartC.getLimitedValue();
- unsigned Step = StepC.getLimitedValue();
+ bool visitCastInst(CastInst &I) {
+ // Propagate constants through casts.
+ Constant *COp = dyn_cast<Constant>(I.getOperand(0));
+ if (!COp)
+ COp = SimplifiedValues.lookup(I.getOperand(0));
+ if (COp)
+ if (Constant *C =
+ ConstantExpr::getCast(I.getOpcode(), COp, I.getType())) {
+ SimplifiedValues[&I] = C;
+ return true;
+ }
- unsigned Index = (Start + Step * Iteration) / ElemSize;
- if (Index >= CDS->getNumElements())
- return nullptr;
+ return Base::visitCastInst(I);
+ }
- Constant *CV = CDS->getElementAsConstant(Index);
+ bool visitCmpInst(CmpInst &I) {
+ Value *LHS = I.getOperand(0), *RHS = I.getOperand(1);
- return CV;
- }
+ // First try to handle simplified comparisons.
+ if (!isa<Constant>(LHS))
+ if (Constant *SimpleLHS = SimplifiedValues.lookup(LHS))
+ LHS = SimpleLHS;
+ if (!isa<Constant>(RHS))
+ if (Constant *SimpleRHS = SimplifiedValues.lookup(RHS))
+ RHS = SimpleRHS;
-public:
- UnrollAnalyzer(const Loop *L, unsigned TripCount, ScalarEvolution &SE,
- const TargetTransformInfo &TTI)
- : L(L), TripCount(TripCount), SE(SE), TTI(TTI),
- NumberOfOptimizedInstructions(0) {}
-
- // Visit all loads the loop L, and for those that, after complete loop
- // unrolling, would have a constant address and it will point to a known
- // constant initializer, record its base address for future use. It is used
- // when we estimate number of potentially simplified instructions.
- void findConstFoldableLoads() {
- for (auto BB : L->getBlocks()) {
- for (BasicBlock::iterator I = BB->begin(), E = BB->end(); I != E; ++I) {
- if (LoadInst *LI = dyn_cast<LoadInst>(I)) {
- if (!LI->isSimple())
- continue;
- Value *AddrOp = LI->getPointerOperand();
- const SCEV *S = SE.getSCEV(AddrOp);
- FindConstantPointers Visitor(L, SE);
- SCEVTraversal<FindConstantPointers> T(Visitor);
- T.visitAll(S);
- if (Visitor.IndexIsConstant && Visitor.LoadCanBeConstantFolded) {
- LoadBaseAddresses[LI] = Visitor.BaseAddress;
+ if (!isa<Constant>(LHS) && !isa<Constant>(RHS)) {
+ auto SimplifiedLHS = SimplifiedAddresses.find(LHS);
+ if (SimplifiedLHS != SimplifiedAddresses.end()) {
+ auto SimplifiedRHS = SimplifiedAddresses.find(RHS);
+ if (SimplifiedRHS != SimplifiedAddresses.end()) {
+ SimplifiedAddress &LHSAddr = SimplifiedLHS->second;
+ SimplifiedAddress &RHSAddr = SimplifiedRHS->second;
+ if (LHSAddr.Base == RHSAddr.Base) {
+ LHS = LHSAddr.Offset;
+ RHS = RHSAddr.Offset;
}
}
}
}
- }
- // Given a list of loads that could be constant-folded (LoadBaseAddresses),
- // estimate number of optimized instructions after substituting the concrete
- // values for the given Iteration.
- // Fill in SimplifiedValues map for future use in DCE-estimation.
- unsigned estimateNumberOfSimplifiedInstructions(unsigned Iteration) {
- SmallVector<Instruction *, 8> Worklist;
- SimplifiedValues.clear();
- CountedInstructions.clear();
- NumberOfOptimizedInstructions = 0;
-
- // We start by adding all loads to the worklist.
- for (auto &LoadDescr : LoadBaseAddresses) {
- LoadInst *LI = LoadDescr.first;
- SimplifiedValues[LI] = computeLoadValue(LI, Iteration);
- if (CountedInstructions.insert(LI).second)
- NumberOfOptimizedInstructions += TTI.getUserCost(LI);
-
- for (User *U : LI->users()) {
- Instruction *UI = dyn_cast<Instruction>(U);
- if (!UI)
- continue;
- if (!L->contains(UI))
- continue;
- Worklist.push_back(UI);
+ if (Constant *CLHS = dyn_cast<Constant>(LHS)) {
+ if (Constant *CRHS = dyn_cast<Constant>(RHS)) {
+ if (Constant *C = ConstantExpr::getCompare(I.getPredicate(), CLHS, CRHS)) {
+ SimplifiedValues[&I] = C;
+ return true;
+ }
}
}
- // And then we try to simplify every user of every instruction from the
- // worklist. If we do simplify a user, add it to the worklist to process
- // its users as well.
- while (!Worklist.empty()) {
- Instruction *I = Worklist.pop_back_val();
- if (!visit(I))
- continue;
- for (User *U : I->users()) {
- Instruction *UI = dyn_cast<Instruction>(U);
- if (!UI)
- continue;
- if (!L->contains(UI))
- continue;
- Worklist.push_back(UI);
- }
- }
- return NumberOfOptimizedInstructions;
+ return Base::visitCmpInst(I);
}
+};
+} // namespace
- // Given a list of potentially simplifed instructions, estimate number of
- // instructions that would become dead if we do perform the simplification.
- unsigned estimateNumberOfDeadInstructions() {
- NumberOfOptimizedInstructions = 0;
-
- // We keep a set vector for the worklist so that we don't wast space in the
- // worklist queuing up the same instruction repeatedly. This can happen due
- // to multiple operands being the same instruction or due to the same
- // instruction being an operand of lots of things that end up dead or
- // simplified.
- SmallSetVector<Instruction *, 8> Worklist;
-
- // The dead instructions are held in a separate set. This is used to
- // prevent us from re-examining instructions and make sure we only count
- // the benifit once. The worklist's internal set handles insertion
- // deduplication.
- SmallPtrSet<Instruction *, 16> DeadInstructions;
-
- // Lambda to enque operands onto the worklist.
- auto EnqueueOperands = [&](Instruction &I) {
- for (auto *Op : I.operand_values())
- if (auto *OpI = dyn_cast<Instruction>(Op))
- Worklist.insert(OpI);
- };
-
- // Start by initializing worklist with simplified instructions.
- for (auto &FoldedKeyValue : SimplifiedValues)
- if (auto *FoldedInst = dyn_cast<Instruction>(FoldedKeyValue.first)) {
- DeadInstructions.insert(FoldedInst);
-
- // Add each instruction operand of this dead instruction to the
- // worklist.
- EnqueueOperands(*FoldedInst);
- }
- // If a definition of an insn is only used by simplified or dead
- // instructions, it's also dead. Check defs of all instructions from the
- // worklist.
- while (!Worklist.empty()) {
- Instruction *I = Worklist.pop_back_val();
- if (!L->contains(I))
- continue;
- if (DeadInstructions.count(I))
- continue;
- if (I->getNumUses() == 0)
- continue;
- bool AllUsersFolded = true;
- for (User *U : I->users()) {
- Instruction *UI = dyn_cast<Instruction>(U);
- if (!SimplifiedValues[UI] && !DeadInstructions.count(UI)) {
- AllUsersFolded = false;
- break;
+namespace {
+struct EstimatedUnrollCost {
+ /// \brief The estimated cost after unrolling.
+ int UnrolledCost;
+
+ /// \brief The estimated dynamic cost of executing the instructions in the
+ /// rolled form.
+ int RolledDynamicCost;
+};
+}
+
+/// \brief Figure out if the loop is worth full unrolling.
+///
+/// Complete loop unrolling can make some loads constant, and we need to know
+/// if that would expose any further optimization opportunities. This routine
+/// estimates this optimization. It computes cost of unrolled loop
+/// (UnrolledCost) and dynamic cost of the original loop (RolledDynamicCost). By
+/// dynamic cost we mean that we won't count costs of blocks that are known not
+/// to be executed (i.e. if we have a branch in the loop and we know that at the
+/// given iteration its condition would be resolved to true, we won't add up the
+/// cost of the 'false'-block).
+/// \returns Optional value, holding the RolledDynamicCost and UnrolledCost. If
+/// the analysis failed (no benefits expected from the unrolling, or the loop is
+/// too big to analyze), the returned value is None.
+static Optional<EstimatedUnrollCost>
+analyzeLoopUnrollCost(const Loop *L, unsigned TripCount, DominatorTree &DT,
+ ScalarEvolution &SE, const TargetTransformInfo &TTI,
+ int MaxUnrolledLoopSize) {
+ // We want to be able to scale offsets by the trip count and add more offsets
+ // to them without checking for overflows, and we already don't want to
+ // analyze *massive* trip counts, so we force the max to be reasonably small.
+ assert(UnrollMaxIterationsCountToAnalyze < (INT_MAX / 2) &&
+ "The unroll iterations max is too large!");
+
+ // Don't simulate loops with a big or unknown tripcount
+ if (!UnrollMaxIterationsCountToAnalyze || !TripCount ||
+ TripCount > UnrollMaxIterationsCountToAnalyze)
+ return None;
+
+ SmallSetVector<BasicBlock *, 16> BBWorklist;
+ DenseMap<Value *, Constant *> SimplifiedValues;
+ SmallVector<std::pair<Value *, Constant *>, 4> SimplifiedInputValues;
+
+ // The estimated cost of the unrolled form of the loop. We try to estimate
+ // this by simplifying as much as we can while computing the estimate.
+ int UnrolledCost = 0;
+ // We also track the estimated dynamic (that is, actually executed) cost in
+ // the rolled form. This helps identify cases when the savings from unrolling
+ // aren't just exposing dead control flows, but actual reduced dynamic
+ // instructions due to the simplifications which we expect to occur after
+ // unrolling.
+ int RolledDynamicCost = 0;
+
+ // Ensure that we don't violate the loop structure invariants relied on by
+ // this analysis.
+ assert(L->isLoopSimplifyForm() && "Must put loop into normal form first.");
+ assert(L->isLCSSAForm(DT) &&
+ "Must have loops in LCSSA form to track live-out values.");
+
+ DEBUG(dbgs() << "Starting LoopUnroll profitability analysis...\n");
+
+ // Simulate execution of each iteration of the loop counting instructions,
+ // which would be simplified.
+ // Since the same load will take different values on different iterations,
+ // we literally have to go through all loop's iterations.
+ for (unsigned Iteration = 0; Iteration < TripCount; ++Iteration) {
+ DEBUG(dbgs() << " Analyzing iteration " << Iteration << "\n");
+
+ // Prepare for the iteration by collecting any simplified entry or backedge
+ // inputs.
+ for (Instruction &I : *L->getHeader()) {
+ auto *PHI = dyn_cast<PHINode>(&I);
+ if (!PHI)
+ break;
+
+ // The loop header PHI nodes must have exactly two input: one from the
+ // loop preheader and one from the loop latch.
+ assert(
+ PHI->getNumIncomingValues() == 2 &&
+ "Must have an incoming value only for the preheader and the latch.");
+
+ Value *V = PHI->getIncomingValueForBlock(
+ Iteration == 0 ? L->getLoopPreheader() : L->getLoopLatch());
+ Constant *C = dyn_cast<Constant>(V);
+ if (Iteration != 0 && !C)
+ C = SimplifiedValues.lookup(V);
+ if (C)
+ SimplifiedInputValues.push_back({PHI, C});
+ }
+
+ // Now clear and re-populate the map for the next iteration.
+ SimplifiedValues.clear();
+ while (!SimplifiedInputValues.empty())
+ SimplifiedValues.insert(SimplifiedInputValues.pop_back_val());
+
+ UnrolledInstAnalyzer Analyzer(Iteration, SimplifiedValues, L, SE);
+
+ BBWorklist.clear();
+ BBWorklist.insert(L->getHeader());
+ // Note that we *must not* cache the size, this loop grows the worklist.
+ for (unsigned Idx = 0; Idx != BBWorklist.size(); ++Idx) {
+ BasicBlock *BB = BBWorklist[Idx];
+
+ // Visit all instructions in the given basic block and try to simplify
+ // it. We don't change the actual IR, just count optimization
+ // opportunities.
+ for (Instruction &I : *BB) {
+ int InstCost = TTI.getUserCost(&I);
+
+ // Visit the instruction to analyze its loop cost after unrolling,
+ // and if the visitor returns false, include this instruction in the
+ // unrolled cost.
+ if (!Analyzer.visit(I))
+ UnrolledCost += InstCost;
+ else {
+ DEBUG(dbgs() << " " << I
+ << " would be simplified if loop is unrolled.\n");
+ (void)0;
+ }
+
+ // Also track this instructions expected cost when executing the rolled
+ // loop form.
+ RolledDynamicCost += InstCost;
+
+ // If unrolled body turns out to be too big, bail out.
+ if (UnrolledCost > MaxUnrolledLoopSize) {
+ DEBUG(dbgs() << " Exceeded threshold.. exiting.\n"
+ << " UnrolledCost: " << UnrolledCost
+ << ", MaxUnrolledLoopSize: " << MaxUnrolledLoopSize
+ << "\n");
+ return None;
}
}
- if (AllUsersFolded) {
- NumberOfOptimizedInstructions += TTI.getUserCost(I);
- DeadInstructions.insert(I);
- EnqueueOperands(*I);
+
+ TerminatorInst *TI = BB->getTerminator();
+
+ // Add in the live successors by first checking whether we have terminator
+ // that may be simplified based on the values simplified by this call.
+ if (BranchInst *BI = dyn_cast<BranchInst>(TI)) {
+ if (BI->isConditional()) {
+ if (Constant *SimpleCond =
+ SimplifiedValues.lookup(BI->getCondition())) {
+ BasicBlock *Succ = nullptr;
+ // Just take the first successor if condition is undef
+ if (isa<UndefValue>(SimpleCond))
+ Succ = BI->getSuccessor(0);
+ else
+ Succ = BI->getSuccessor(
+ cast<ConstantInt>(SimpleCond)->isZero() ? 1 : 0);
+ if (L->contains(Succ))
+ BBWorklist.insert(Succ);
+ continue;
+ }
+ }
+ } else if (SwitchInst *SI = dyn_cast<SwitchInst>(TI)) {
+ if (Constant *SimpleCond =
+ SimplifiedValues.lookup(SI->getCondition())) {
+ BasicBlock *Succ = nullptr;
+ // Just take the first successor if condition is undef
+ if (isa<UndefValue>(SimpleCond))
+ Succ = SI->getSuccessor(0);
+ else
+ Succ = SI->findCaseValue(cast<ConstantInt>(SimpleCond))
+ .getCaseSuccessor();
+ if (L->contains(Succ))
+ BBWorklist.insert(Succ);
+ continue;
+ }
}
+
+ // Add BB's successors to the worklist.
+ for (BasicBlock *Succ : successors(BB))
+ if (L->contains(Succ))
+ BBWorklist.insert(Succ);
}
- return NumberOfOptimizedInstructions;
- }
-};
-// Complete loop unrolling can make some loads constant, and we need to know if
-// that would expose any further optimization opportunities.
-// This routine estimates this optimization effect and returns the number of
-// instructions, that potentially might be optimized away.
-static unsigned
-approximateNumberOfOptimizedInstructions(const Loop *L, ScalarEvolution &SE,
- unsigned TripCount,
- const TargetTransformInfo &TTI) {
- if (!TripCount || !UnrollMaxIterationsCountToAnalyze)
- return 0;
-
- UnrollAnalyzer UA(L, TripCount, SE, TTI);
- UA.findConstFoldableLoads();
-
- // Estimate number of instructions, that could be simplified if we replace a
- // load with the corresponding constant. Since the same load will take
- // different values on different iterations, we have to go through all loop's
- // iterations here. To limit ourselves here, we check only first N
- // iterations, and then scale the found number, if necessary.
- unsigned IterationsNumberForEstimate =
- std::min<unsigned>(UnrollMaxIterationsCountToAnalyze, TripCount);
- unsigned NumberOfOptimizedInstructions = 0;
- for (unsigned i = 0; i < IterationsNumberForEstimate; ++i) {
- NumberOfOptimizedInstructions +=
- UA.estimateNumberOfSimplifiedInstructions(i);
- NumberOfOptimizedInstructions += UA.estimateNumberOfDeadInstructions();
+ // If we found no optimization opportunities on the first iteration, we
+ // won't find them on later ones too.
+ if (UnrolledCost == RolledDynamicCost) {
+ DEBUG(dbgs() << " No opportunities found.. exiting.\n"
+ << " UnrolledCost: " << UnrolledCost << "\n");
+ return None;
+ }
}
- NumberOfOptimizedInstructions *= TripCount / IterationsNumberForEstimate;
-
- return NumberOfOptimizedInstructions;
+ DEBUG(dbgs() << "Analysis finished:\n"
+ << "UnrolledCost: " << UnrolledCost << ", "
+ << "RolledDynamicCost: " << RolledDynamicCost << "\n");
+ return {{UnrolledCost, RolledDynamicCost}};
}
/// ApproximateLoopSize - Approximate the size of the loop.
return GetUnrollMetadataForLoop(L, "llvm.loop.unroll.full");
}
+// Returns true if the loop has an unroll(enable) pragma. This metadata is used
+// for both "#pragma unroll" and "#pragma clang loop unroll(enable)" directives.
+static bool HasUnrollEnablePragma(const Loop *L) {
+ return GetUnrollMetadataForLoop(L, "llvm.loop.unroll.enable");
+}
+
// Returns true if the loop has an unroll(disable) pragma.
static bool HasUnrollDisablePragma(const Loop *L) {
return GetUnrollMetadataForLoop(L, "llvm.loop.unroll.disable");
}
+// Returns true if the loop has an runtime unroll(disable) pragma.
+static bool HasRuntimeUnrollDisablePragma(const Loop *L) {
+ return GetUnrollMetadataForLoop(L, "llvm.loop.unroll.runtime.disable");
+}
+
// If loop has an unroll_count pragma return the (necessarily
// positive) value from the pragma. Otherwise return 0.
static unsigned UnrollCountPragmaValue(const Loop *L) {
L->setLoopID(NewLoopID);
}
+bool LoopUnroll::canUnrollCompletely(Loop *L, unsigned Threshold,
+ unsigned PercentDynamicCostSavedThreshold,
+ unsigned DynamicCostSavingsDiscount,
+ uint64_t UnrolledCost,
+ uint64_t RolledDynamicCost) {
+
+ if (Threshold == NoThreshold) {
+ DEBUG(dbgs() << " Can fully unroll, because no threshold is set.\n");
+ return true;
+ }
+
+ if (UnrolledCost <= Threshold) {
+ DEBUG(dbgs() << " Can fully unroll, because unrolled cost: "
+ << UnrolledCost << "<" << Threshold << "\n");
+ return true;
+ }
+
+ assert(UnrolledCost && "UnrolledCost can't be 0 at this point.");
+ assert(RolledDynamicCost >= UnrolledCost &&
+ "Cannot have a higher unrolled cost than a rolled cost!");
+
+ // Compute the percentage of the dynamic cost in the rolled form that is
+ // saved when unrolled. If unrolling dramatically reduces the estimated
+ // dynamic cost of the loop, we use a higher threshold to allow more
+ // unrolling.
+ unsigned PercentDynamicCostSaved =
+ (uint64_t)(RolledDynamicCost - UnrolledCost) * 100ull / RolledDynamicCost;
+
+ if (PercentDynamicCostSaved >= PercentDynamicCostSavedThreshold &&
+ (int64_t)UnrolledCost - (int64_t)DynamicCostSavingsDiscount <=
+ (int64_t)Threshold) {
+ DEBUG(dbgs() << " Can fully unroll, because unrolling will reduce the "
+ "expected dynamic cost by " << PercentDynamicCostSaved
+ << "% (threshold: " << PercentDynamicCostSavedThreshold
+ << "%)\n"
+ << " and the unrolled cost (" << UnrolledCost
+ << ") is less than the max threshold ("
+ << DynamicCostSavingsDiscount << ").\n");
+ return true;
+ }
+
+ DEBUG(dbgs() << " Too large to fully unroll:\n");
+ DEBUG(dbgs() << " Threshold: " << Threshold << "\n");
+ DEBUG(dbgs() << " Max threshold: " << DynamicCostSavingsDiscount << "\n");
+ DEBUG(dbgs() << " Percent cost saved threshold: "
+ << PercentDynamicCostSavedThreshold << "%\n");
+ DEBUG(dbgs() << " Unrolled cost: " << UnrolledCost << "\n");
+ DEBUG(dbgs() << " Rolled dynamic cost: " << RolledDynamicCost << "\n");
+ DEBUG(dbgs() << " Percent cost saved: " << PercentDynamicCostSaved
+ << "\n");
+ return false;
+}
+
unsigned LoopUnroll::selectUnrollCount(
const Loop *L, unsigned TripCount, bool PragmaFullUnroll,
unsigned PragmaCount, const TargetTransformInfo::UnrollingPreferences &UP,
unsigned Count = UserCount ? CurrentCount : 0;
// If there is no user-specified count, unroll pragmas have the next
- // highest precendence.
+ // highest precedence.
if (Count == 0) {
if (PragmaCount) {
Count = PragmaCount;
Function &F = *L->getHeader()->getParent();
+ auto &DT = getAnalysis<DominatorTreeWrapperPass>().getDomTree();
LoopInfo *LI = &getAnalysis<LoopInfoWrapperPass>().getLoopInfo();
- ScalarEvolution *SE = &getAnalysis<ScalarEvolution>();
+ ScalarEvolution *SE = &getAnalysis<ScalarEvolutionWrapperPass>().getSE();
const TargetTransformInfo &TTI =
getAnalysis<TargetTransformInfoWrapperPass>().getTTI(F);
auto &AC = getAnalysis<AssumptionCacheTracker>().getAssumptionCache(F);
return false;
}
bool PragmaFullUnroll = HasUnrollFullPragma(L);
+ bool PragmaEnableUnroll = HasUnrollEnablePragma(L);
unsigned PragmaCount = UnrollCountPragmaValue(L);
- bool HasPragma = PragmaFullUnroll || PragmaCount > 0;
+ bool HasPragma = PragmaFullUnroll || PragmaEnableUnroll || PragmaCount > 0;
TargetTransformInfo::UnrollingPreferences UP;
getUnrollingPreferences(L, TTI, UP);
return false;
}
- unsigned NumberOfOptimizedInstructions =
- approximateNumberOfOptimizedInstructions(L, *SE, TripCount, TTI);
- DEBUG(dbgs() << " Complete unrolling could save: "
- << NumberOfOptimizedInstructions << "\n");
-
unsigned Threshold, PartialThreshold;
- selectThresholds(L, HasPragma, UP, Threshold, PartialThreshold,
- NumberOfOptimizedInstructions);
+ unsigned PercentDynamicCostSavedThreshold;
+ unsigned DynamicCostSavingsDiscount;
+ // Only use the high pragma threshold when we have a target unroll factor such
+ // as with "#pragma unroll N" or a pragma indicating full unrolling and the
+ // trip count is known. Otherwise we rely on the standard threshold to
+ // heuristically select a reasonable unroll count.
+ bool UsePragmaThreshold =
+ PragmaCount > 0 ||
+ ((PragmaFullUnroll || PragmaEnableUnroll) && TripCount != 0);
+
+ selectThresholds(L, UsePragmaThreshold, UP, Threshold, PartialThreshold,
+ PercentDynamicCostSavedThreshold,
+ DynamicCostSavingsDiscount);
// Given Count, TripCount and thresholds determine the type of
// unrolling which is to be performed.
enum { Full = 0, Partial = 1, Runtime = 2 };
int Unrolling;
if (TripCount && Count == TripCount) {
- if (Threshold != NoThreshold && UnrolledSize > Threshold) {
- DEBUG(dbgs() << " Too large to fully unroll with count: " << Count
- << " because size: " << UnrolledSize << ">" << Threshold
- << "\n");
- Unrolling = Partial;
- } else {
+ Unrolling = Partial;
+ // If the loop is really small, we don't need to run an expensive analysis.
+ if (canUnrollCompletely(L, Threshold, 100, DynamicCostSavingsDiscount,
+ UnrolledSize, UnrolledSize)) {
Unrolling = Full;
+ } else {
+ // The loop isn't that small, but we still can fully unroll it if that
+ // helps to remove a significant number of instructions.
+ // To check that, run additional analysis on the loop.
+ if (Optional<EstimatedUnrollCost> Cost =
+ analyzeLoopUnrollCost(L, TripCount, DT, *SE, TTI,
+ Threshold + DynamicCostSavingsDiscount))
+ if (canUnrollCompletely(L, Threshold, PercentDynamicCostSavedThreshold,
+ DynamicCostSavingsDiscount, Cost->UnrolledCost,
+ Cost->RolledDynamicCost)) {
+ Unrolling = Full;
+ }
}
} else if (TripCount && Count < TripCount) {
Unrolling = Partial;
// Reduce count based on the type of unrolling and the threshold values.
unsigned OriginalCount = Count;
- bool AllowRuntime = UserRuntime ? CurrentRuntime : UP.Runtime;
+ bool AllowRuntime = PragmaEnableUnroll || (PragmaCount > 0) ||
+ (UserRuntime ? CurrentRuntime : UP.Runtime);
+ // Don't unroll a runtime trip count loop with unroll full pragma.
+ if (HasRuntimeUnrollDisablePragma(L) || PragmaFullUnroll) {
+ AllowRuntime = false;
+ }
if (Unrolling == Partial) {
- bool AllowPartial = UserAllowPartial ? CurrentAllowPartial : UP.Partial;
+ bool AllowPartial = PragmaEnableUnroll ||
+ (UserAllowPartial ? CurrentAllowPartial : UP.Partial);
if (!AllowPartial && !CountSetExplicitly) {
DEBUG(dbgs() << " will not try to unroll partially because "
<< "-unroll-allow-partial not given\n");
DebugLoc LoopLoc = L->getStartLoc();
Function *F = Header->getParent();
LLVMContext &Ctx = F->getContext();
- if (PragmaFullUnroll && PragmaCount == 0) {
- if (TripCount && Count != TripCount) {
- emitOptimizationRemarkMissed(
- Ctx, DEBUG_TYPE, *F, LoopLoc,
- "Unable to fully unroll loop as directed by unroll(full) pragma "
- "because unrolled size is too large.");
- } else if (!TripCount) {
- emitOptimizationRemarkMissed(
- Ctx, DEBUG_TYPE, *F, LoopLoc,
- "Unable to fully unroll loop as directed by unroll(full) pragma "
- "because loop has a runtime trip count.");
- }
- } else if (PragmaCount > 0 && Count != OriginalCount) {
+ if ((PragmaCount > 0) && Count != OriginalCount) {
emitOptimizationRemarkMissed(
Ctx, DEBUG_TYPE, *F, LoopLoc,
"Unable to unroll loop the number of times directed by "
"unroll_count pragma because unrolled size is too large.");
+ } else if (PragmaFullUnroll && !TripCount) {
+ emitOptimizationRemarkMissed(
+ Ctx, DEBUG_TYPE, *F, LoopLoc,
+ "Unable to fully unroll loop as directed by unroll(full) pragma "
+ "because loop has a runtime trip count.");
+ } else if (PragmaEnableUnroll && Count != TripCount && Count < 2) {
+ emitOptimizationRemarkMissed(
+ Ctx, DEBUG_TYPE, *F, LoopLoc,
+ "Unable to unroll loop as directed by unroll(enable) pragma because "
+ "unrolled size is too large.");
+ } else if ((PragmaFullUnroll || PragmaEnableUnroll) && TripCount &&
+ Count != TripCount) {
+ emitOptimizationRemarkMissed(
+ Ctx, DEBUG_TYPE, *F, LoopLoc,
+ "Unable to fully unroll loop as directed by unroll pragma because "
+ "unrolled size is too large.");
}
}
}
// Unroll the loop.
- if (!UnrollLoop(L, Count, TripCount, AllowRuntime, TripMultiple, LI, this,
- &LPM, &AC))
+ if (!UnrollLoop(L, Count, TripCount, AllowRuntime, UP.AllowExpensiveTripCount,
+ TripMultiple, LI, this, &LPM, &AC))
return false;
return true;
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