//
//===----------------------------------------------------------------------===//
-#define LV_NAME "loop-vectorize"
-#define DEBUG_TYPE LV_NAME
-
#include "llvm/Transforms/Vectorize.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/EquivalenceClasses.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/SmallSet.h"
#include "llvm/ADT/SmallVector.h"
+#include "llvm/ADT/Statistic.h"
#include "llvm/ADT/StringExtras.h"
#include "llvm/Analysis/AliasAnalysis.h"
#include "llvm/Analysis/BlockFrequencyInfo.h"
#include "llvm/Analysis/ValueTracking.h"
#include "llvm/IR/Constants.h"
#include "llvm/IR/DataLayout.h"
+#include "llvm/IR/DebugInfo.h"
#include "llvm/IR/DerivedTypes.h"
#include "llvm/IR/Dominators.h"
#include "llvm/IR/Function.h"
#include "llvm/IR/IntrinsicInst.h"
#include "llvm/IR/LLVMContext.h"
#include "llvm/IR/Module.h"
+#include "llvm/IR/PatternMatch.h"
#include "llvm/IR/Type.h"
#include "llvm/IR/Value.h"
+#include "llvm/IR/ValueHandle.h"
#include "llvm/IR/Verifier.h"
#include "llvm/Pass.h"
#include "llvm/Support/BranchProbability.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/Debug.h"
-#include "llvm/Support/PatternMatch.h"
-#include "llvm/Support/ValueHandle.h"
+#include "llvm/Support/Format.h"
#include "llvm/Support/raw_ostream.h"
#include "llvm/Target/TargetLibraryInfo.h"
#include "llvm/Transforms/Scalar.h"
#include "llvm/Transforms/Utils/BasicBlockUtils.h"
#include "llvm/Transforms/Utils/Local.h"
+#include "llvm/Transforms/Utils/VectorUtils.h"
#include <algorithm>
#include <map>
using namespace llvm;
using namespace llvm::PatternMatch;
+#define LV_NAME "loop-vectorize"
+#define DEBUG_TYPE LV_NAME
+
+STATISTIC(LoopsVectorized, "Number of loops vectorized");
+STATISTIC(LoopsAnalyzed, "Number of loops analyzed for vectorization");
+
static cl::opt<unsigned>
VectorizationFactor("force-vector-width", cl::init(0), cl::Hidden,
cl::desc("Sets the SIMD width. Zero is autoselect."));
"small-loop-cost", cl::init(20), cl::Hidden,
cl::desc("The cost of a loop that is considered 'small' by the unroller."));
+static cl::opt<bool> LoopVectorizeWithBlockFrequency(
+ "loop-vectorize-with-block-frequency", cl::init(false), cl::Hidden,
+ cl::desc("Enable the use of the block frequency analysis to access PGO "
+ "heuristics minimizing code growth in cold regions and being more "
+ "aggressive in hot regions."));
+
// Runtime unroll loops for load/store throughput.
static cl::opt<bool> EnableLoadStoreRuntimeUnroll(
- "enable-loadstore-runtime-unroll", cl::init(false), cl::Hidden,
+ "enable-loadstore-runtime-unroll", cl::init(true), cl::Hidden,
cl::desc("Enable runtime unrolling until load/store ports are saturated"));
/// The number of stores in a loop that are allowed to need predication.
static cl::opt<unsigned> NumberOfStoresToPredicate(
- "vectorize-num-stores-pred", cl::init(0), cl::Hidden,
+ "vectorize-num-stores-pred", cl::init(1), cl::Hidden,
cl::desc("Max number of stores to be predicated behind an if."));
+static cl::opt<bool> EnableIndVarRegisterHeur(
+ "enable-ind-var-reg-heur", cl::init(true), cl::Hidden,
+ cl::desc("Count the induction variable only once when unrolling"));
+
static cl::opt<bool> EnableCondStoresVectorization(
"enable-cond-stores-vec", cl::init(false), cl::Hidden,
cl::desc("Enable if predication of stores during vectorization."));
class InnerLoopVectorizer {
public:
InnerLoopVectorizer(Loop *OrigLoop, ScalarEvolution *SE, LoopInfo *LI,
- DominatorTree *DT, DataLayout *DL,
+ DominatorTree *DT, const DataLayout *DL,
const TargetLibraryInfo *TLI, unsigned VecWidth,
unsigned UnrollFactor)
: OrigLoop(OrigLoop), SE(SE), LI(LI), DT(DT), DL(DL), TLI(TLI),
- VF(VecWidth), UF(UnrollFactor), Builder(SE->getContext()), Induction(0),
- OldInduction(0), WidenMap(UnrollFactor), Legal(0) {}
+ VF(VecWidth), UF(UnrollFactor), Builder(SE->getContext()),
+ Induction(nullptr), OldInduction(nullptr), WidenMap(UnrollFactor),
+ Legal(nullptr) {}
// Perform the actual loop widening (vectorization).
void vectorize(LoopVectorizationLegality *L) {
/// Dominator Tree.
DominatorTree *DT;
/// Data Layout.
- DataLayout *DL;
+ const DataLayout *DL;
/// Target Library Info.
const TargetLibraryInfo *TLI;
class InnerLoopUnroller : public InnerLoopVectorizer {
public:
InnerLoopUnroller(Loop *OrigLoop, ScalarEvolution *SE, LoopInfo *LI,
- DominatorTree *DT, DataLayout *DL,
+ DominatorTree *DT, const DataLayout *DL,
const TargetLibraryInfo *TLI, unsigned UnrollFactor) :
InnerLoopVectorizer(OrigLoop, SE, LI, DT, DL, TLI, 1, UnrollFactor) { }
private:
- virtual void scalarizeInstruction(Instruction *Instr, bool IfPredicateStore = false);
- virtual void vectorizeMemoryInstruction(Instruction *Instr);
- virtual Value *getBroadcastInstrs(Value *V);
- virtual Value *getConsecutiveVector(Value* Val, int StartIdx, bool Negate);
- virtual Value *reverseVector(Value *Vec);
+ void scalarizeInstruction(Instruction *Instr,
+ bool IfPredicateStore = false) override;
+ void vectorizeMemoryInstruction(Instruction *Instr) override;
+ Value *getBroadcastInstrs(Value *V) override;
+ Value *getConsecutiveVector(Value* Val, int StartIdx, bool Negate) override;
+ Value *reverseVector(Value *Vec) override;
};
/// \brief Look for a meaningful debug location on the instruction or it's
B.SetCurrentDebugLocation(DebugLoc());
}
+#ifndef NDEBUG
+/// \return string containing a file name and a line # for the given
+/// instruction.
+static format_object3<const char *, const char *, unsigned>
+getDebugLocString(const Instruction *I) {
+ if (!I)
+ return format<const char *, const char *, unsigned>("", "", "", 0U);
+ MDNode *N = I->getMetadata("dbg");
+ if (!N) {
+ const StringRef ModuleName =
+ I->getParent()->getParent()->getParent()->getModuleIdentifier();
+ return format<const char *, const char *, unsigned>("%s", ModuleName.data(),
+ "", 0U);
+ }
+ const DILocation Loc(N);
+ const unsigned LineNo = Loc.getLineNumber();
+ const char *DirName = Loc.getDirectory().data();
+ const char *FileName = Loc.getFilename().data();
+ return format("%s/%s:%u", DirName, FileName, LineNo);
+}
+#endif
+
/// LoopVectorizationLegality checks if it is legal to vectorize a loop, and
/// to what vectorization factor.
/// This class does not look at the profitability of vectorization, only the
unsigned NumStores;
unsigned NumPredStores;
- LoopVectorizationLegality(Loop *L, ScalarEvolution *SE, DataLayout *DL,
+ LoopVectorizationLegality(Loop *L, ScalarEvolution *SE, const DataLayout *DL,
DominatorTree *DT, TargetLibraryInfo *TLI)
: NumLoads(0), NumStores(0), NumPredStores(0), TheLoop(L), SE(SE), DL(DL),
- DT(DT), TLI(TLI), Induction(0), WidestIndTy(0), HasFunNoNaNAttr(false),
- MaxSafeDepDistBytes(-1U) {}
+ DT(DT), TLI(TLI), Induction(nullptr), WidestIndTy(nullptr),
+ HasFunNoNaNAttr(false), MaxSafeDepDistBytes(-1U) {}
/// This enum represents the kinds of reductions that we support.
enum ReductionKind {
/// This struct holds information about reduction variables.
struct ReductionDescriptor {
- ReductionDescriptor() : StartValue(0), LoopExitInstr(0),
+ ReductionDescriptor() : StartValue(nullptr), LoopExitInstr(nullptr),
Kind(RK_NoReduction), MinMaxKind(MRK_Invalid) {}
ReductionDescriptor(Value *Start, Instruction *Exit, ReductionKind K,
/// A struct for saving information about induction variables.
struct InductionInfo {
InductionInfo(Value *Start, InductionKind K) : StartValue(Start), IK(K) {}
- InductionInfo() : StartValue(0), IK(IK_NoInduction) {}
+ InductionInfo() : StartValue(nullptr), IK(IK_NoInduction) {}
/// Start value.
TrackingVH<Value> StartValue;
/// Induction kind.
/// Scev analysis.
ScalarEvolution *SE;
/// DataLayout analysis.
- DataLayout *DL;
+ const DataLayout *DL;
/// Dominators.
DominatorTree *DT;
/// Target Library Info.
LoopVectorizationCostModel(Loop *L, ScalarEvolution *SE, LoopInfo *LI,
LoopVectorizationLegality *Legal,
const TargetTransformInfo &TTI,
- DataLayout *DL, const TargetLibraryInfo *TLI)
+ const DataLayout *DL, const TargetLibraryInfo *TLI)
: TheLoop(L), SE(SE), LI(LI), Legal(Legal), TTI(TTI), DL(DL), TLI(TLI) {}
/// Information about vectorization costs
/// Vector target information.
const TargetTransformInfo &TTI;
/// Target data layout information.
- DataLayout *DL;
+ const DataLayout *DL;
/// Target Library Info.
const TargetLibraryInfo *TLI;
};
assert(LoopID->getOperand(0) == LoopID && "invalid loop id");
for (unsigned i = 1, ie = LoopID->getNumOperands(); i < ie; ++i) {
- const MDString *S = 0;
+ const MDString *S = nullptr;
SmallVector<Value*, 4> Args;
// The expected hint is either a MDString or a MDNode with the first
}
};
-static void addInnerLoop(Loop *L, SmallVectorImpl<Loop *> &V) {
- if (L->empty())
- return V.push_back(L);
+static void addInnerLoop(Loop &L, SmallVectorImpl<Loop *> &V) {
+ if (L.empty())
+ return V.push_back(&L);
- for (Loop::iterator I = L->begin(), E = L->end(); I != E; ++I)
- addInnerLoop(*I, V);
+ for (Loop *InnerL : L)
+ addInnerLoop(*InnerL, V);
}
/// The LoopVectorize Pass.
}
ScalarEvolution *SE;
- DataLayout *DL;
+ const DataLayout *DL;
LoopInfo *LI;
TargetTransformInfo *TTI;
DominatorTree *DT;
BlockFrequency ColdEntryFreq;
- virtual bool runOnFunction(Function &F) {
+ bool runOnFunction(Function &F) override {
SE = &getAnalysis<ScalarEvolution>();
- DL = getAnalysisIfAvailable<DataLayout>();
+ DataLayoutPass *DLP = getAnalysisIfAvailable<DataLayoutPass>();
+ DL = DLP ? &DLP->getDataLayout() : nullptr;
LI = &getAnalysis<LoopInfo>();
TTI = &getAnalysis<TargetTransformInfo>();
DT = &getAnalysis<DominatorTreeWrapperPass>().getDomTree();
if (!TTI->getNumberOfRegisters(true))
return false;
- if (DL == NULL) {
- DEBUG(dbgs() << "LV: Not vectorizing: Missing data layout\n");
+ if (!DL) {
+ DEBUG(dbgs() << "\nLV: Not vectorizing " << F.getName()
+ << ": Missing data layout\n");
return false;
}
// and can invalidate iterators across the loops.
SmallVector<Loop *, 8> Worklist;
- for (LoopInfo::iterator I = LI->begin(), E = LI->end(); I != E; ++I)
- addInnerLoop(*I, Worklist);
+ for (Loop *L : *LI)
+ addInnerLoop(*L, Worklist);
+
+ LoopsAnalyzed += Worklist.size();
// Now walk the identified inner loops.
bool Changed = false;
}
bool processLoop(Loop *L) {
- // We only handle inner loops, so if there are children just recurse.
- if (!L->empty()) {
- bool Changed = false;
- for (Loop::iterator I = L->begin(), E = L->begin(); I != E; ++I)
- Changed |= processLoop(*I);
- return Changed;
- }
-
- DEBUG(dbgs() << "LV: Checking a loop in \"" <<
- L->getHeader()->getParent()->getName() << "\"\n");
+ assert(L->empty() && "Only process inner loops.");
+ DEBUG(dbgs() << "\nLV: Checking a loop in \""
+ << L->getHeader()->getParent()->getName() << "\" from "
+ << getDebugLocString(L->getHeader()->getFirstNonPHIOrDbg())
+ << "\n");
LoopVectorizeHints Hints(L, DisableUnrolling);
+ DEBUG(dbgs() << "LV: Loop hints:"
+ << " force=" << (Hints.Force == 0
+ ? "disabled"
+ : (Hints.Force == 1 ? "enabled" : "?"))
+ << " width=" << Hints.Width << " unroll=" << Hints.Unroll
+ << "\n");
+
if (Hints.Force == 0) {
DEBUG(dbgs() << "LV: Not vectorizing: #pragma vectorize disable.\n");
return false;
// Compute the weighted frequency of this loop being executed and see if it
// is less than 20% of the function entry baseline frequency. Note that we
// always have a canonical loop here because we think we *can* vectoriez.
- BlockFrequency LoopEntryFreq = BFI->getBlockFreq(L->getLoopPreheader());
- if (Hints.Force != 1 && LoopEntryFreq < ColdEntryFreq)
- OptForSize = true;
+ // FIXME: This is hidden behind a flag due to pervasive problems with
+ // exactly what block frequency models.
+ if (LoopVectorizeWithBlockFrequency) {
+ BlockFrequency LoopEntryFreq = BFI->getBlockFreq(L->getLoopPreheader());
+ if (Hints.Force != 1 && LoopEntryFreq < ColdEntryFreq)
+ OptForSize = true;
+ }
// Check the function attributes to see if implicit floats are allowed.a
// FIXME: This check doesn't seem possibly correct -- what if the loop is
}
// Select the optimal vectorization factor.
- LoopVectorizationCostModel::VectorizationFactor VF;
- VF = CM.selectVectorizationFactor(OptForSize, Hints.Width);
+ const LoopVectorizationCostModel::VectorizationFactor VF =
+ CM.selectVectorizationFactor(OptForSize, Hints.Width);
// Select the unroll factor.
- unsigned UF = CM.selectUnrollFactor(OptForSize, Hints.Unroll, VF.Width,
+ const unsigned UF = CM.selectUnrollFactor(OptForSize, Hints.Unroll, VF.Width,
VF.Cost);
- DEBUG(dbgs() << "LV: Found a vectorizable loop ("<< VF.Width << ") in "<<
- F->getParent()->getModuleIdentifier() << '\n');
+ DEBUG(dbgs() << "LV: Found a vectorizable loop ("
+ << VF.Width << ") in "
+ << getDebugLocString(L->getHeader()->getFirstNonPHIOrDbg())
+ << '\n');
DEBUG(dbgs() << "LV: Unroll Factor is " << UF << '\n');
if (VF.Width == 1) {
// If we decided that it is *legal* to vectorize the loop then do it.
InnerLoopVectorizer LB(L, SE, LI, DT, DL, TLI, VF.Width, UF);
LB.vectorize(&LVL);
+ ++LoopsVectorized;
}
// Mark the loop as already vectorized to avoid vectorizing again.
return true;
}
- virtual void getAnalysisUsage(AnalysisUsage &AU) const {
+ void getAnalysisUsage(AnalysisUsage &AU) const override {
AU.addRequiredID(LoopSimplifyID);
AU.addRequiredID(LCSSAID);
AU.addRequired<BlockFrequencyInfo>();
/// \p Ptr.
static const SCEV *replaceSymbolicStrideSCEV(ScalarEvolution *SE,
ValueToValueMap &PtrToStride,
- Value *Ptr, Value *OrigPtr = 0) {
+ Value *Ptr, Value *OrigPtr = nullptr) {
const SCEV *OrigSCEV = SE->getSCEV(Ptr);
/// \brief Find the operand of the GEP that should be checked for consecutive
/// stores. This ignores trailing indices that have no effect on the final
/// pointer.
-static unsigned getGEPInductionOperand(DataLayout *DL,
+static unsigned getGEPInductionOperand(const DataLayout *DL,
const GetElementPtrInst *Gep) {
unsigned LastOperand = Gep->getNumOperands() - 1;
unsigned GEPAllocSize = DL->getTypeAllocSize(
// We can emit wide load/stores only if the last non-zero index is the
// induction variable.
- const SCEV *Last = 0;
+ const SCEV *Last = nullptr;
if (!Strides.count(Gep))
Last = SE->getSCEV(Gep->getOperand(InductionOperand));
else {
// Does this instruction return a value ?
bool IsVoidRetTy = Instr->getType()->isVoidTy();
- Value *UndefVec = IsVoidRetTy ? 0 :
+ Value *UndefVec = IsVoidRetTy ? nullptr :
UndefValue::get(VectorType::get(Instr->getType(), VF));
// Create a new entry in the WidenMap and initialize it to Undef or Null.
VectorParts &VecResults = WidenMap.splat(Instr, UndefVec);
Instruction *InsertPt = Builder.GetInsertPoint();
BasicBlock *IfBlock = Builder.GetInsertBlock();
- BasicBlock *CondBlock = 0;
+ BasicBlock *CondBlock = nullptr;
VectorParts Cond;
- Loop *VectorLp = 0;
+ Loop *VectorLp = nullptr;
if (IfPredicateStore) {
assert(Instr->getParent()->getSinglePredecessor() &&
"Only support single predecessor blocks");
for (unsigned Width = 0; Width < VF; ++Width) {
// Start if-block.
- Value *Cmp = 0;
+ Value *Cmp = nullptr;
if (IfPredicateStore) {
Cmp = Builder.CreateExtractElement(Cond[Part], Builder.getInt32(Width));
Cmp = Builder.CreateICmp(ICmpInst::ICMP_EQ, Cmp, ConstantInt::get(Cmp->getType(), 1));
CondBlock = IfBlock->splitBasicBlock(InsertPt, "cond.store");
+ LoopVectorBody.push_back(CondBlock);
VectorLp->addBasicBlockToLoop(CondBlock, LI->getBase());
// Update Builder with newly created basic block.
Builder.SetInsertPoint(InsertPt);
// End if-block.
if (IfPredicateStore) {
BasicBlock *NewIfBlock = CondBlock->splitBasicBlock(InsertPt, "else");
+ LoopVectorBody.push_back(NewIfBlock);
VectorLp->addBasicBlockToLoop(NewIfBlock, LI->getBase());
Builder.SetInsertPoint(InsertPt);
Instruction *OldBr = IfBlock->getTerminator();
if (FirstInst)
return FirstInst;
if (Instruction *I = dyn_cast<Instruction>(V))
- return I->getParent() == Loc->getParent() ? I : 0;
- return 0;
+ return I->getParent() == Loc->getParent() ? I : nullptr;
+ return nullptr;
}
std::pair<Instruction *, Instruction *>
InnerLoopVectorizer::addStrideCheck(Instruction *Loc) {
- Instruction *tnullptr = 0;
+ Instruction *tnullptr = nullptr;
if (!Legal->mustCheckStrides())
return std::pair<Instruction *, Instruction *>(tnullptr, tnullptr);
IRBuilder<> ChkBuilder(Loc);
// Emit checks.
- Value *Check = 0;
- Instruction *FirstInst = 0;
+ Value *Check = nullptr;
+ Instruction *FirstInst = nullptr;
for (SmallPtrSet<Value *, 8>::iterator SI = Legal->strides_begin(),
SE = Legal->strides_end();
SI != SE; ++SI) {
LoopVectorizationLegality::RuntimePointerCheck *PtrRtCheck =
Legal->getRuntimePointerCheck();
- Instruction *tnullptr = 0;
+ Instruction *tnullptr = nullptr;
if (!PtrRtCheck->Need)
return std::pair<Instruction *, Instruction *>(tnullptr, tnullptr);
LLVMContext &Ctx = Loc->getContext();
SCEVExpander Exp(*SE, "induction");
- Instruction *FirstInst = 0;
+ Instruction *FirstInst = nullptr;
for (unsigned i = 0; i < NumPointers; ++i) {
Value *Ptr = PtrRtCheck->Pointers[i];
IRBuilder<> ChkBuilder(Loc);
// Our instructions might fold to a constant.
- Value *MemoryRuntimeCheck = 0;
+ Value *MemoryRuntimeCheck = nullptr;
for (unsigned i = 0; i < NumPointers; ++i) {
for (unsigned j = i+1; j < NumPointers; ++j) {
// No need to check if two readonly pointers intersect.
// sequence of instructions that form a check.
Instruction *StrideCheck;
Instruction *FirstCheckInst;
- tie(FirstCheckInst, StrideCheck) =
+ std::tie(FirstCheckInst, StrideCheck) =
addStrideCheck(BypassBlock->getTerminator());
if (StrideCheck) {
// Create a new block containing the stride check.
// checks into a separate block to make the more common case of few elements
// faster.
Instruction *MemRuntimeCheck;
- tie(FirstCheckInst, MemRuntimeCheck) =
+ std::tie(FirstCheckInst, MemRuntimeCheck) =
addRuntimeCheck(LastBypassBlock->getTerminator());
if (MemRuntimeCheck) {
// Create a new block containing the memory check.
// start value.
// This variable saves the new starting index for the scalar loop.
- PHINode *ResumeIndex = 0;
+ PHINode *ResumeIndex = nullptr;
LoopVectorizationLegality::InductionList::iterator I, E;
LoopVectorizationLegality::InductionList *List = Legal->getInductionVars();
// Set builder to point to last bypass block.
// truncated version for the scalar loop.
PHINode *TruncResumeVal = (OrigPhi == OldInduction) ?
PHINode::Create(OrigPhi->getType(), 2, "trunc.resume.val",
- MiddleBlock->getTerminator()) : 0;
+ MiddleBlock->getTerminator()) : nullptr;
- Value *EndValue = 0;
+ Value *EndValue = nullptr;
switch (II.IK) {
case LoopVectorizationLegality::IK_NoInduction:
llvm_unreachable("Unknown induction");
getIntrinsicIDForCall(CallInst *CI, const TargetLibraryInfo *TLI) {
// If we have an intrinsic call, check if it is trivially vectorizable.
if (IntrinsicInst *II = dyn_cast<IntrinsicInst>(CI)) {
- switch (II->getIntrinsicID()) {
- case Intrinsic::sqrt:
- case Intrinsic::sin:
- case Intrinsic::cos:
- case Intrinsic::exp:
- case Intrinsic::exp2:
- case Intrinsic::log:
- case Intrinsic::log10:
- case Intrinsic::log2:
- case Intrinsic::fabs:
- case Intrinsic::copysign:
- case Intrinsic::floor:
- case Intrinsic::ceil:
- case Intrinsic::trunc:
- case Intrinsic::rint:
- case Intrinsic::nearbyint:
- case Intrinsic::round:
- case Intrinsic::pow:
- case Intrinsic::fma:
- case Intrinsic::fmuladd:
- case Intrinsic::lifetime_start:
- case Intrinsic::lifetime_end:
- return II->getIntrinsicID();
- default:
+ Intrinsic::ID ID = II->getIntrinsicID();
+ if (isTriviallyVectorizable(ID) || ID == Intrinsic::lifetime_start ||
+ ID == Intrinsic::lifetime_end)
+ return ID;
+ else
return Intrinsic::not_intrinsic;
- }
}
if (!TLI)
}
}
+/// \brief Adds a 'fast' flag to floating point operations.
+static Value *addFastMathFlag(Value *V) {
+ if (isa<FPMathOperator>(V)){
+ FastMathFlags Flags;
+ Flags.setUnsafeAlgebra();
+ cast<Instruction>(V)->setFastMathFlags(Flags);
+ }
+ return V;
+}
+
void InnerLoopVectorizer::vectorizeLoop() {
//===------------------------------------------------===//
//
setDebugLocFromInst(Builder, ReducedPartRdx);
for (unsigned part = 1; part < UF; ++part) {
if (Op != Instruction::ICmp && Op != Instruction::FCmp)
- ReducedPartRdx = Builder.CreateBinOp((Instruction::BinaryOps)Op,
- RdxParts[part], ReducedPartRdx,
- "bin.rdx");
+ // Floating point operations had to be 'fast' to enable the reduction.
+ ReducedPartRdx = addFastMathFlag(
+ Builder.CreateBinOp((Instruction::BinaryOps)Op, RdxParts[part],
+ ReducedPartRdx, "bin.rdx"));
else
ReducedPartRdx = createMinMaxOp(Builder, RdxDesc.MinMaxKind,
ReducedPartRdx, RdxParts[part]);
assert(isPowerOf2_32(VF) &&
"Reduction emission only supported for pow2 vectors!");
Value *TmpVec = ReducedPartRdx;
- SmallVector<Constant*, 32> ShuffleMask(VF, 0);
+ SmallVector<Constant*, 32> ShuffleMask(VF, nullptr);
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)
"rdx.shuf");
if (Op != Instruction::ICmp && Op != Instruction::FCmp)
- TmpVec = Builder.CreateBinOp((Instruction::BinaryOps)Op, TmpVec, Shuf,
- "bin.rdx");
+ // Floating point operations had to be 'fast' to enable the reduction.
+ TmpVec = addFastMathFlag(Builder.CreateBinOp(
+ (Instruction::BinaryOps)Op, TmpVec, Shuf, "bin.rdx"));
else
TmpVec = createMinMaxOp(Builder, RdxDesc.MinMaxKind, TmpVec, Shuf);
}
if (VecOp && isa<PossiblyExactOperator>(VecOp))
VecOp->setIsExact(BinOp->isExact());
+ // Copy the fast-math flags.
+ if (VecOp && isa<FPMathOperator>(V))
+ VecOp->setFastMathFlags(it->getFastMathFlags());
+
Entry[Part] = V;
}
break;
VectorParts &A = getVectorValue(it->getOperand(0));
VectorParts &B = getVectorValue(it->getOperand(1));
for (unsigned Part = 0; Part < UF; ++Part) {
- Value *C = 0;
+ Value *C = nullptr;
if (FCmp)
C = Builder.CreateFCmp(Cmp->getPredicate(), A[Part], B[Part]);
else
return true;
}
-static Type *convertPointerToIntegerType(DataLayout &DL, Type *Ty) {
+static Type *convertPointerToIntegerType(const DataLayout &DL, Type *Ty) {
if (Ty->isPointerTy())
return DL.getIntPtrType(Ty);
return Ty;
}
-static Type* getWiderType(DataLayout &DL, Type *Ty0, Type *Ty1) {
+static Type* getWiderType(const DataLayout &DL, Type *Ty0, Type *Ty1) {
Ty0 = convertPointerToIntegerType(DL, Ty0);
Ty1 = convertPointerToIntegerType(DL, Ty1);
if (Ty0->getScalarSizeInBits() > Ty1->getScalarSizeInBits())
// instructions must not have external users.
if (!Reductions.count(Inst))
//Check that all of the users of the loop are inside the BB.
- for (Value::use_iterator I = Inst->use_begin(), E = Inst->use_end();
- I != E; ++I) {
- Instruction *U = cast<Instruction>(*I);
+ for (User *U : Inst->users()) {
+ Instruction *UI = cast<Instruction>(U);
// This user may be a reduction exit value.
- if (!TheLoop->contains(U)) {
- DEBUG(dbgs() << "LV: Found an outside user for : " << *U << '\n');
+ if (!TheLoop->contains(UI)) {
+ DEBUG(dbgs() << "LV: Found an outside user for : " << *UI << '\n');
return true;
}
}
///\brief Remove GEPs whose indices but the last one are loop invariant and
/// return the induction operand of the gep pointer.
static Value *stripGetElementPtr(Value *Ptr, ScalarEvolution *SE,
- DataLayout *DL, Loop *Lp) {
+ const DataLayout *DL, Loop *Lp) {
GetElementPtrInst *GEP = dyn_cast<GetElementPtrInst>(Ptr);
if (!GEP)
return Ptr;
///\brief Look for a cast use of the passed value.
static Value *getUniqueCastUse(Value *Ptr, Loop *Lp, Type *Ty) {
- Value *UniqueCast = 0;
- for (Value::use_iterator UI = Ptr->use_begin(), UE = Ptr->use_end(); UI != UE;
- ++UI) {
- CastInst *CI = dyn_cast<CastInst>(*UI);
+ Value *UniqueCast = nullptr;
+ for (User *U : Ptr->users()) {
+ CastInst *CI = dyn_cast<CastInst>(U);
if (CI && CI->getType() == Ty) {
if (!UniqueCast)
UniqueCast = CI;
else
- return 0;
+ return nullptr;
}
}
return UniqueCast;
/// Looks for symbolic strides "a[i*stride]". Returns the symbolic stride as a
/// pointer to the Value, or null otherwise.
static Value *getStrideFromPointer(Value *Ptr, ScalarEvolution *SE,
- DataLayout *DL, Loop *Lp) {
+ const DataLayout *DL, Loop *Lp) {
const PointerType *PtrTy = dyn_cast<PointerType>(Ptr->getType());
if (!PtrTy || PtrTy->isAggregateType())
- return 0;
+ return nullptr;
// Try to remove a gep instruction to make the pointer (actually index at this
// point) easier analyzable. If OrigPtr is equal to Ptr we are analzying the
const SCEVAddRecExpr *S = dyn_cast<SCEVAddRecExpr>(V);
if (!S)
- return 0;
+ return nullptr;
V = S->getStepRecurrence(*SE);
if (!V)
- return 0;
+ return nullptr;
// Strip off the size of access multiplication if we are still analyzing the
// pointer.
DL->getTypeAllocSize(PtrTy->getElementType());
if (const SCEVMulExpr *M = dyn_cast<SCEVMulExpr>(V)) {
if (M->getOperand(0)->getSCEVType() != scConstant)
- return 0;
+ return nullptr;
const APInt &APStepVal =
cast<SCEVConstant>(M->getOperand(0))->getValue()->getValue();
// Huge step value - give up.
if (APStepVal.getBitWidth() > 64)
- return 0;
+ return nullptr;
int64_t StepVal = APStepVal.getSExtValue();
if (PtrAccessSize != StepVal)
- return 0;
+ return nullptr;
V = M->getOperand(1);
}
}
// Strip off casts.
- Type *StripedOffRecurrenceCast = 0;
+ Type *StripedOffRecurrenceCast = nullptr;
if (const SCEVCastExpr *C = dyn_cast<SCEVCastExpr>(V)) {
StripedOffRecurrenceCast = C->getType();
V = C->getOperand();
// Look for the loop invariant symbolic value.
const SCEVUnknown *U = dyn_cast<SCEVUnknown>(V);
if (!U)
- return 0;
+ return nullptr;
Value *Stride = U->getValue();
if (!Lp->isLoopInvariant(Stride))
- return 0;
+ return nullptr;
// If we have stripped off the recurrence cast we have to make sure that we
// return the value that is used in this loop so that we can replace it later.
}
void LoopVectorizationLegality::collectStridedAcccess(Value *MemAccess) {
- Value *Ptr = 0;
+ Value *Ptr = nullptr;
if (LoadInst *LI = dyn_cast<LoadInst>(MemAccess))
Ptr = LI->getPointerOperand();
else if (StoreInst *SI = dyn_cast<StoreInst>(MemAccess))
// Start with the conditional branch and walk up the block.
Worklist.push_back(Latch->getTerminator()->getOperand(0));
+ // Also add all consecutive pointer values; these values will be uniform
+ // after vectorization (and subsequent cleanup) and, until revectorization is
+ // supported, all dependencies must also be uniform.
+ for (Loop::block_iterator B = TheLoop->block_begin(),
+ BE = TheLoop->block_end(); B != BE; ++B)
+ for (BasicBlock::iterator I = (*B)->begin(), IE = (*B)->end();
+ I != IE; ++I)
+ if (I->getType()->isPointerTy() && isConsecutivePtr(I))
+ Worklist.insert(Worklist.end(), I->op_begin(), I->op_end());
+
while (Worklist.size()) {
Instruction *I = dyn_cast<Instruction>(Worklist.back());
Worklist.pop_back();
/// \brief Set of potential dependent memory accesses.
typedef EquivalenceClasses<MemAccessInfo> DepCandidates;
- AccessAnalysis(DataLayout *Dl, DepCandidates &DA) :
+ AccessAnalysis(const DataLayout *Dl, DepCandidates &DA) :
DL(Dl), DepCands(DA), AreAllWritesIdentified(true),
AreAllReadsIdentified(true), IsRTCheckNeeded(false) {}
/// Set of underlying objects already written to.
SmallPtrSet<Value*, 16> WriteObjects;
- DataLayout *DL;
+ const DataLayout *DL;
/// Sets of potentially dependent accesses - members of one set share an
/// underlying pointer. The set "CheckDeps" identfies which sets really need a
/// \brief Check the stride of the pointer and ensure that it does not wrap in
/// the address space.
-static int isStridedPtr(ScalarEvolution *SE, DataLayout *DL, Value *Ptr,
+static int isStridedPtr(ScalarEvolution *SE, const DataLayout *DL, Value *Ptr,
const Loop *Lp, ValueToValueMap &StridesMap);
bool AccessAnalysis::canCheckPtrAtRT(
typedef PointerIntPair<Value *, 1, bool> MemAccessInfo;
typedef SmallPtrSet<MemAccessInfo, 8> MemAccessInfoSet;
- MemoryDepChecker(ScalarEvolution *Se, DataLayout *Dl, const Loop *L)
+ MemoryDepChecker(ScalarEvolution *Se, const DataLayout *Dl, const Loop *L)
: SE(Se), DL(Dl), InnermostLoop(L), AccessIdx(0),
ShouldRetryWithRuntimeCheck(false) {}
private:
ScalarEvolution *SE;
- DataLayout *DL;
+ const DataLayout *DL;
const Loop *InnermostLoop;
/// \brief Maps access locations (ptr, read/write) to program order.
}
/// \brief Check whether the access through \p Ptr has a constant stride.
-static int isStridedPtr(ScalarEvolution *SE, DataLayout *DL, Value *Ptr,
+static int isStridedPtr(ScalarEvolution *SE, const DataLayout *DL, Value *Ptr,
const Loop *Lp, ValueToValueMap &StridesMap) {
const Type *Ty = Ptr->getType();
assert(Ty->isPointerTy() && "Unexpected non-ptr");
// Check every access pair.
while (AI != AE) {
CheckDeps.erase(*AI);
- EquivalenceClasses<MemAccessInfo>::member_iterator OI = llvm::next(AI);
+ EquivalenceClasses<MemAccessInfo>::member_iterator OI = std::next(AI);
while (OI != AE) {
// Check every accessing instruction pair in program order.
for (std::vector<unsigned>::iterator I1 = Accesses[*AI].begin(),
// We only allow for a single reduction value to be used outside the loop.
// This includes users of the reduction, variables (which form a cycle
// which ends in the phi node).
- Instruction *ExitInstruction = 0;
+ Instruction *ExitInstruction = nullptr;
// Indicates that we found a reduction operation in our scan.
bool FoundReduxOp = false;
// the number of instruction we saw from the recognized min/max pattern,
// to make sure we only see exactly the two instructions.
unsigned NumCmpSelectPatternInst = 0;
- ReductionInstDesc ReduxDesc(false, 0);
+ ReductionInstDesc ReduxDesc(false, nullptr);
SmallPtrSet<Instruction *, 8> VisitedInsts;
SmallVector<Instruction *, 8> Worklist;
// nodes once we get to them.
SmallVector<Instruction *, 8> NonPHIs;
SmallVector<Instruction *, 8> PHIs;
- for (Value::use_iterator UI = Cur->use_begin(), E = Cur->use_end(); UI != E;
- ++UI) {
- Instruction *Usr = cast<Instruction>(*UI);
+ for (User *U : Cur->users()) {
+ Instruction *UI = cast<Instruction>(U);
// Check if we found the exit user.
- BasicBlock *Parent = Usr->getParent();
+ BasicBlock *Parent = UI->getParent();
if (!TheLoop->contains(Parent)) {
// Exit if you find multiple outside users or if the header phi node is
// being used. In this case the user uses the value of the previous
// iteration, in which case we would loose "VF-1" iterations of the
// reduction operation if we vectorize.
- if (ExitInstruction != 0 || Cur == Phi)
+ if (ExitInstruction != nullptr || Cur == Phi)
return false;
// The instruction used by an outside user must be the last instruction
// Process instructions only once (termination). Each reduction cycle
// value must only be used once, except by phi nodes and min/max
// reductions which are represented as a cmp followed by a select.
- ReductionInstDesc IgnoredVal(false, 0);
- if (VisitedInsts.insert(Usr)) {
- if (isa<PHINode>(Usr))
- PHIs.push_back(Usr);
+ ReductionInstDesc IgnoredVal(false, nullptr);
+ if (VisitedInsts.insert(UI)) {
+ if (isa<PHINode>(UI))
+ PHIs.push_back(UI);
else
- NonPHIs.push_back(Usr);
- } else if (!isa<PHINode>(Usr) &&
- ((!isa<FCmpInst>(Usr) &&
- !isa<ICmpInst>(Usr) &&
- !isa<SelectInst>(Usr)) ||
- !isMinMaxSelectCmpPattern(Usr, IgnoredVal).IsReduction))
+ NonPHIs.push_back(UI);
+ } else if (!isa<PHINode>(UI) &&
+ ((!isa<FCmpInst>(UI) &&
+ !isa<ICmpInst>(UI) &&
+ !isa<SelectInst>(UI)) ||
+ !isMinMaxSelectCmpPattern(UI, IgnoredVal).IsReduction))
return false;
// Remember that we completed the cycle.
- if (Usr == Phi)
+ if (UI == Phi)
FoundStartPHI = true;
}
Worklist.append(PHIs.begin(), PHIs.end());
assert((isa<ICmpInst>(I) || isa<FCmpInst>(I) || isa<SelectInst>(I)) &&
"Expect a select instruction");
- Instruction *Cmp = 0;
- SelectInst *Select = 0;
+ Instruction *Cmp = nullptr;
+ SelectInst *Select = nullptr;
// We must handle the select(cmp()) as a single instruction. Advance to the
// select.
if ((Cmp = dyn_cast<ICmpInst>(I)) || (Cmp = dyn_cast<FCmpInst>(I))) {
- if (!Cmp->hasOneUse() || !(Select = dyn_cast<SelectInst>(*I->use_begin())))
+ if (!Cmp->hasOneUse() || !(Select = dyn_cast<SelectInst>(*I->user_begin())))
return ReductionInstDesc(false, I);
return ReductionInstDesc(Select, Prev.MinMaxKind);
}
}
}
- DEBUG(dbgs() << "LV: Selecting VF = : "<< Width << ".\n");
+ DEBUG(dbgs() << "LV: Selecting VF: "<< Width << ".\n");
Factor.Width = Width;
Factor.Cost = Width * Cost;
return Factor;
unsigned UF = PowerOf2Floor((TargetNumRegisters - R.LoopInvariantRegs) /
R.MaxLocalUsers);
+ // Don't count the induction variable as unrolled.
+ if (EnableIndVarRegisterHeur)
+ UF = PowerOf2Floor((TargetNumRegisters - R.LoopInvariantRegs - 1) /
+ std::max(1U, (R.MaxLocalUsers - 1)));
+
// Clamp the unroll factor ranges to reasonable factors.
unsigned MaxUnrollSize = TTI.getMaximumUnrollFactor();
return UF;
}
- if (EnableLoadStoreRuntimeUnroll &&
- !Legal->getRuntimePointerCheck()->Need &&
+ // Note that if we've already vectorized the loop we will have done the
+ // runtime check and so unrolling won't require further checks.
+ bool UnrollingRequiresRuntimePointerCheck =
+ (VF == 1 && Legal->getRuntimePointerCheck()->Need);
+
+ // We want to unroll small loops in order to reduce the loop overhead and
+ // potentially expose ILP opportunities.
+ DEBUG(dbgs() << "LV: Loop cost is " << LoopCost << '\n');
+ if (!UnrollingRequiresRuntimePointerCheck &&
LoopCost < SmallLoopCost) {
+ // We assume that the cost overhead is 1 and we use the cost model
+ // to estimate the cost of the loop and unroll until the cost of the
+ // loop overhead is about 5% of the cost of the loop.
+ unsigned SmallUF = std::min(UF, (unsigned)PowerOf2Floor(SmallLoopCost / LoopCost));
+
// Unroll until store/load ports (estimated by max unroll factor) are
// saturated.
- unsigned UnrollStores = UF / (Legal->NumStores ? Legal->NumStores : 1);
- unsigned UnrollLoads = UF / (Legal->NumLoads ? Legal->NumLoads : 1);
- UF = std::max(std::min(UnrollStores, UnrollLoads), 1u);
- return UF;
- }
+ unsigned StoresUF = UF / (Legal->NumStores ? Legal->NumStores : 1);
+ unsigned LoadsUF = UF / (Legal->NumLoads ? Legal->NumLoads : 1);
+
+ if (EnableLoadStoreRuntimeUnroll && std::max(StoresUF, LoadsUF) > SmallUF) {
+ DEBUG(dbgs() << "LV: Unrolling to saturate store or load ports.\n");
+ return std::max(StoresUF, LoadsUF);
+ }
- // We want to unroll tiny loops in order to reduce the loop overhead.
- // We assume that the cost overhead is 1 and we use the cost model
- // to estimate the cost of the loop and unroll until the cost of the
- // loop overhead is about 5% of the cost of the loop.
- DEBUG(dbgs() << "LV: Loop cost is " << LoopCost << '\n');
- if (LoopCost < SmallLoopCost) {
DEBUG(dbgs() << "LV: Unrolling to reduce branch cost.\n");
- unsigned NewUF = PowerOf2Floor(SmallLoopCost / LoopCost);
- return std::min(NewUF, UF);
+ return SmallUF;
}
DEBUG(dbgs() << "LV: Not Unrolling.\n");
TargetTransformInfo::OK_AnyValue;
TargetTransformInfo::OperandValueKind Op2VK =
TargetTransformInfo::OK_AnyValue;
+ Value *Op2 = I->getOperand(1);
- if (isa<ConstantInt>(I->getOperand(1)))
+ // Check for a splat of a constant or for a non uniform vector of constants.
+ if (isa<ConstantInt>(Op2))
Op2VK = TargetTransformInfo::OK_UniformConstantValue;
+ else if (isa<ConstantVector>(Op2) || isa<ConstantDataVector>(Op2)) {
+ Op2VK = TargetTransformInfo::OK_NonUniformConstantValue;
+ if (cast<Constant>(Op2)->getSplatValue() != nullptr)
+ Op2VK = TargetTransformInfo::OK_UniformConstantValue;
+ }
return TTI.getArithmeticInstrCost(I->getOpcode(), VectorTy, Op1VK, Op2VK);
}
// Does this instruction return a value ?
bool IsVoidRetTy = Instr->getType()->isVoidTy();
- Value *UndefVec = IsVoidRetTy ? 0 :
+ Value *UndefVec = IsVoidRetTy ? nullptr :
UndefValue::get(Instr->getType());
// Create a new entry in the WidenMap and initialize it to Undef or Null.
VectorParts &VecResults = WidenMap.splat(Instr, UndefVec);
Instruction *InsertPt = Builder.GetInsertPoint();
BasicBlock *IfBlock = Builder.GetInsertBlock();
- BasicBlock *CondBlock = 0;
+ BasicBlock *CondBlock = nullptr;
VectorParts Cond;
- Loop *VectorLp = 0;
+ Loop *VectorLp = nullptr;
if (IfPredicateStore) {
assert(Instr->getParent()->getSinglePredecessor() &&
"Only support single predecessor blocks");
// For each scalar that we create:
// Start an "if (pred) a[i] = ..." block.
- Value *Cmp = 0;
+ Value *Cmp = nullptr;
if (IfPredicateStore) {
if (Cond[Part]->getType()->isVectorTy())
Cond[Part] =
Cmp = Builder.CreateICmp(ICmpInst::ICMP_EQ, Cond[Part],
ConstantInt::get(Cond[Part]->getType(), 1));
CondBlock = IfBlock->splitBasicBlock(InsertPt, "cond.store");
+ LoopVectorBody.push_back(CondBlock);
VectorLp->addBasicBlockToLoop(CondBlock, LI->getBase());
// Update Builder with newly created basic block.
Builder.SetInsertPoint(InsertPt);
// End if-block.
if (IfPredicateStore) {
BasicBlock *NewIfBlock = CondBlock->splitBasicBlock(InsertPt, "else");
+ LoopVectorBody.push_back(NewIfBlock);
VectorLp->addBasicBlockToLoop(NewIfBlock, LI->getBase());
Builder.SetInsertPoint(InsertPt);
Instruction *OldBr = IfBlock->getTerminator();
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