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[LoopVectorizer] Change types of lists from pointers to references. NFC

getReductionVars, getInductionVars and getFirstOrderRecurrences were all
being returned from LoopVectorizationLegality as pointers to lists. This
just changes them to be references, cleaning up the interface slightly.

Differential Revision: https://reviews.llvm.org/D75448
This commit is contained in:
David Green 2020-03-02 14:26:32 +00:00
parent 7044c8086f
commit 6e60c4c134
6 changed files with 29 additions and 30 deletions

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@ -235,13 +235,13 @@ public:
PHINode *getPrimaryInduction() { return PrimaryInduction; }
/// Returns the reduction variables found in the loop.
ReductionList *getReductionVars() { return &Reductions; }
ReductionList &getReductionVars() { return Reductions; }
/// Returns the induction variables found in the loop.
InductionList *getInductionVars() { return &Inductions; }
InductionList &getInductionVars() { return Inductions; }
/// Return the first-order recurrences found in the loop.
RecurrenceSet *getFirstOrderRecurrences() { return &FirstOrderRecurrences; }
RecurrenceSet &getFirstOrderRecurrences() { return FirstOrderRecurrences; }
/// Return the set of instructions to sink to handle first-order recurrences.
DenseMap<Instruction *, Instruction *> &getSinkAfter() { return SinkAfter; }

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@ -1244,7 +1244,7 @@ bool LoopVectorizationLegality::prepareToFoldTailByMasking() {
SmallPtrSet<const Value *, 8> ReductionLiveOuts;
for (auto &Reduction : *getReductionVars())
for (auto &Reduction : getReductionVars())
ReductionLiveOuts.insert(Reduction.second.getLoopExitInstr());
// TODO: handle non-reduction outside users when tail is folded by masking.

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@ -1799,8 +1799,8 @@ void InnerLoopVectorizer::widenIntOrFpInduction(PHINode *IV, TruncInst *Trunc) {
assert((IV->getType()->isIntegerTy() || IV != OldInduction) &&
"Primary induction variable must have an integer type");
auto II = Legal->getInductionVars()->find(IV);
assert(II != Legal->getInductionVars()->end() && "IV is not an induction");
auto II = Legal->getInductionVars().find(IV);
assert(II != Legal->getInductionVars().end() && "IV is not an induction");
auto ID = II->second;
assert(IV->getType() == ID.getStartValue()->getType() && "Types must match");
@ -3026,8 +3026,7 @@ BasicBlock *InnerLoopVectorizer::createVectorizedLoopSkeleton() {
// This variable saves the new starting index for the scalar loop. It is used
// to test if there are any tail iterations left once the vector loop has
// completed.
LoopVectorizationLegality::InductionList *List = Legal->getInductionVars();
for (auto &InductionEntry : *List) {
for (auto &InductionEntry : Legal->getInductionVars()) {
PHINode *OrigPhi = InductionEntry.first;
InductionDescriptor II = InductionEntry.second;
@ -3465,7 +3464,7 @@ void InnerLoopVectorizer::fixVectorizedLoop() {
PSE.getSE()->forgetLoop(OrigLoop);
// Fix-up external users of the induction variables.
for (auto &Entry : *Legal->getInductionVars())
for (auto &Entry : Legal->getInductionVars())
fixupIVUsers(Entry.first, Entry.second,
getOrCreateVectorTripCount(LI->getLoopFor(LoopVectorBody)),
IVEndValues[Entry.first], LoopMiddleBlock);
@ -3691,7 +3690,7 @@ void InnerLoopVectorizer::fixReduction(PHINode *Phi) {
// Get it's reduction variable descriptor.
assert(Legal->isReductionVariable(Phi) &&
"Unable to find the reduction variable");
RecurrenceDescriptor RdxDesc = (*Legal->getReductionVars())[Phi];
RecurrenceDescriptor RdxDesc = Legal->getReductionVars()[Phi];
RecurrenceDescriptor::RecurrenceKind RK = RdxDesc.getRecurrenceKind();
TrackingVH<Value> ReductionStartValue = RdxDesc.getRecurrenceStartValue();
@ -4152,9 +4151,9 @@ void InnerLoopVectorizer::widenPHIInstruction(Instruction *PN, unsigned UF,
// This PHINode must be an induction variable.
// Make sure that we know about it.
assert(Legal->getInductionVars()->count(P) && "Not an induction variable");
assert(Legal->getInductionVars().count(P) && "Not an induction variable");
InductionDescriptor II = Legal->getInductionVars()->lookup(P);
InductionDescriptor II = Legal->getInductionVars().lookup(P);
const DataLayout &DL = OrigLoop->getHeader()->getModule()->getDataLayout();
// FIXME: The newly created binary instructions should contain nsw/nuw flags,
@ -4518,7 +4517,7 @@ void LoopVectorizationCostModel::collectLoopScalars(unsigned VF) {
// TODO: Once we are able to vectorize pointer induction variables we should
// no longer insert them into the worklist here.
auto *Latch = TheLoop->getLoopLatch();
for (auto &Induction : *Legal->getInductionVars()) {
for (auto &Induction : Legal->getInductionVars()) {
auto *Ind = Induction.first;
auto *IndUpdate = cast<Instruction>(Ind->getIncomingValueForBlock(Latch));
if (Induction.second.getKind() != InductionDescriptor::IK_PtrInduction)
@ -4561,7 +4560,7 @@ void LoopVectorizationCostModel::collectLoopScalars(unsigned VF) {
// An induction variable will remain scalar if all users of the induction
// variable and induction variable update remain scalar.
for (auto &Induction : *Legal->getInductionVars()) {
for (auto &Induction : Legal->getInductionVars()) {
auto *Ind = Induction.first;
auto *IndUpdate = cast<Instruction>(Ind->getIncomingValueForBlock(Latch));
@ -4852,7 +4851,7 @@ void LoopVectorizationCostModel::collectLoopUniforms(unsigned VF) {
// nodes separately. An induction variable will remain uniform if all users
// of the induction variable and induction variable update remain uniform.
// The code below handles both pointer and non-pointer induction variables.
for (auto &Induction : *Legal->getInductionVars()) {
for (auto &Induction : Legal->getInductionVars()) {
auto *Ind = Induction.first;
auto *IndUpdate = cast<Instruction>(Ind->getIncomingValueForBlock(Latch));
@ -5157,7 +5156,7 @@ LoopVectorizationCostModel::getSmallestAndWidestTypes() {
if (auto *PN = dyn_cast<PHINode>(&I)) {
if (!Legal->isReductionVariable(PN))
continue;
RecurrenceDescriptor RdxDesc = (*Legal->getReductionVars())[PN];
RecurrenceDescriptor RdxDesc = Legal->getReductionVars()[PN];
T = RdxDesc.getRecurrenceType();
}
@ -5299,7 +5298,7 @@ unsigned LoopVectorizationCostModel::selectInterleaveCount(unsigned VF,
// Interleave if we vectorized this loop and there is a reduction that could
// benefit from interleaving.
if (VF > 1 && !Legal->getReductionVars()->empty()) {
if (VF > 1 && !Legal->getReductionVars().empty()) {
LLVM_DEBUG(dbgs() << "LV: Interleaving because of reductions.\n");
return IC;
}
@ -5330,7 +5329,7 @@ unsigned LoopVectorizationCostModel::selectInterleaveCount(unsigned VF,
// by this point), we can increase the critical path length if the loop
// we're interleaving is inside another loop. Limit, by default to 2, so the
// critical path only gets increased by one reduction operation.
if (!Legal->getReductionVars()->empty() && TheLoop->getLoopDepth() > 1) {
if (!Legal->getReductionVars().empty() && TheLoop->getLoopDepth() > 1) {
unsigned F = static_cast<unsigned>(MaxNestedScalarReductionIC);
SmallIC = std::min(SmallIC, F);
StoresIC = std::min(StoresIC, F);
@ -5350,7 +5349,7 @@ unsigned LoopVectorizationCostModel::selectInterleaveCount(unsigned VF,
// Interleave if this is a large loop (small loops are already dealt with by
// this point) that could benefit from interleaving.
bool HasReductions = !Legal->getReductionVars()->empty();
bool HasReductions = !Legal->getReductionVars().empty();
if (TTI.enableAggressiveInterleaving(HasReductions)) {
LLVM_DEBUG(dbgs() << "LV: Interleaving to expose ILP.\n");
return IC;
@ -6430,14 +6429,14 @@ void LoopVectorizationCostModel::collectValuesToIgnore() {
// Ignore type-promoting instructions we identified during reduction
// detection.
for (auto &Reduction : *Legal->getReductionVars()) {
for (auto &Reduction : Legal->getReductionVars()) {
RecurrenceDescriptor &RedDes = Reduction.second;
SmallPtrSetImpl<Instruction *> &Casts = RedDes.getCastInsts();
VecValuesToIgnore.insert(Casts.begin(), Casts.end());
}
// Ignore type-casting instructions we identified during induction
// detection.
for (auto &Induction : *Legal->getInductionVars()) {
for (auto &Induction : Legal->getInductionVars()) {
InductionDescriptor &IndDes = Induction.second;
const SmallVectorImpl<Instruction *> &Casts = IndDes.getCastInsts();
VecValuesToIgnore.insert(Casts.begin(), Casts.end());
@ -6601,7 +6600,7 @@ void LoopVectorizationPlanner::collectTriviallyDeadInstructions(
// We create new "steps" for induction variable updates to which the original
// induction variables map. An original update instruction will be dead if
// all its users except the induction variable are dead.
for (auto &Induction : *Legal->getInductionVars()) {
for (auto &Induction : Legal->getInductionVars()) {
PHINode *Ind = Induction.first;
auto *IndUpdate = cast<Instruction>(Ind->getIncomingValueForBlock(Latch));
if (llvm::all_of(IndUpdate->users(), [&](User *U) -> bool {
@ -6815,7 +6814,7 @@ VPRecipeBuilder::tryToOptimizeInduction(Instruction *I, VFRange &Range) {
if (PHINode *Phi = dyn_cast<PHINode>(I)) {
// Check if this is an integer or fp induction. If so, build the recipe that
// produces its scalar and vector values.
InductionDescriptor II = Legal->getInductionVars()->lookup(Phi);
InductionDescriptor II = Legal->getInductionVars().lookup(Phi);
if (II.getKind() == InductionDescriptor::IK_IntInduction ||
II.getKind() == InductionDescriptor::IK_FpInduction)
return new VPWidenIntOrFpInductionRecipe(Phi);
@ -7109,7 +7108,7 @@ void LoopVectorizationPlanner::buildVPlansWithVPRecipes(unsigned MinVF,
// required in order to introduce a select between them in VPlan.
if (CM.foldTailByMasking()) {
NeedDef.insert(Legal->getPrimaryInduction());
for (auto &Reduction : *Legal->getReductionVars()) {
for (auto &Reduction : Legal->getReductionVars()) {
NeedDef.insert(Reduction.first);
NeedDef.insert(Reduction.second.getLoopExitInstr());
}
@ -7281,7 +7280,7 @@ VPlanPtr LoopVectorizationPlanner::buildVPlanWithVPRecipes(
if (CM.foldTailByMasking()) {
Builder.setInsertPoint(VPBB);
auto *Cond = RecipeBuilder.createBlockInMask(OrigLoop->getHeader(), Plan);
for (auto &Reduction : *Legal->getReductionVars()) {
for (auto &Reduction : Legal->getReductionVars()) {
VPValue *Phi = Plan->getVPValue(Reduction.first);
VPValue *Red = Plan->getVPValue(Reduction.second.getLoopExitInstr());
Builder.createNaryOp(Instruction::Select, {Cond, Red, Phi});

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@ -18,7 +18,7 @@ using namespace llvm;
void VPlanTransforms::VPInstructionsToVPRecipes(
Loop *OrigLoop, VPlanPtr &Plan,
LoopVectorizationLegality::InductionList *Inductions,
LoopVectorizationLegality::InductionList &Inductions,
SmallPtrSetImpl<Instruction *> &DeadInstructions) {
auto *TopRegion = cast<VPRegionBlock>(Plan->getEntry());
@ -60,7 +60,7 @@ void VPlanTransforms::VPInstructionsToVPRecipes(
*Inst, Plan->getOrAddVPValue(getLoadStorePointerOperand(Inst)),
nullptr /*Mask*/);
else if (PHINode *Phi = dyn_cast<PHINode>(Inst)) {
InductionDescriptor II = Inductions->lookup(Phi);
InductionDescriptor II = Inductions.lookup(Phi);
if (II.getKind() == InductionDescriptor::IK_IntInduction ||
II.getKind() == InductionDescriptor::IK_FpInduction) {
NewRecipe = new VPWidenIntOrFpInductionRecipe(Phi);

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@ -26,7 +26,7 @@ public:
/// widen recipes.
static void VPInstructionsToVPRecipes(
Loop *OrigLoop, VPlanPtr &Plan,
LoopVectorizationLegality::InductionList *Inductions,
LoopVectorizationLegality::InductionList &Inductions,
SmallPtrSetImpl<Instruction *> &DeadInstructions);
};

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@ -90,7 +90,7 @@ TEST_F(VPlanHCFGTest, testBuildHCFGInnerLoop) {
LoopVectorizationLegality::InductionList Inductions;
SmallPtrSet<Instruction *, 1> DeadInstructions;
VPlanTransforms::VPInstructionsToVPRecipes(LI->getLoopFor(LoopHeader), Plan,
&Inductions, DeadInstructions);
Inductions, DeadInstructions);
}
TEST_F(VPlanHCFGTest, testVPInstructionToVPRecipesInner) {
@ -120,7 +120,7 @@ TEST_F(VPlanHCFGTest, testVPInstructionToVPRecipesInner) {
LoopVectorizationLegality::InductionList Inductions;
SmallPtrSet<Instruction *, 1> DeadInstructions;
VPlanTransforms::VPInstructionsToVPRecipes(LI->getLoopFor(LoopHeader), Plan,
&Inductions, DeadInstructions);
Inductions, DeadInstructions);
VPBlockBase *Entry = Plan->getEntry()->getEntryBasicBlock();
EXPECT_NE(nullptr, Entry->getSingleSuccessor());