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// This is the type that the user actually needs.
const Type *OpTy = LF.OperandValToReplace->getType();
// This will be the type that we'll initially expand to.
const Type *Ty = F.getType();
if (!Ty)
// No type known; just expand directly to the ultimate type.
Ty = OpTy;
else if (SE.getEffectiveSCEVType(Ty) == SE.getEffectiveSCEVType(OpTy))
// Expand directly to the ultimate type if it's the right size.
Ty = OpTy;
// This is the type to do integer arithmetic in.
const Type *IntTy = SE.getEffectiveSCEVType(Ty);
// Build up a list of operands to add together to form the full base.
SmallVector<const SCEV *, 8> Ops;
// Expand the BaseRegs portion.
for (SmallVectorImpl<const SCEV *>::const_iterator I = F.BaseRegs.begin(),
E = F.BaseRegs.end(); I != E; ++I) {
const SCEV *Reg = *I;
assert(!Reg->isZero() && "Zero allocated in a base register!");
// If we're expanding for a post-inc user, make the post-inc adjustment.
PostIncLoopSet &Loops = const_cast<PostIncLoopSet &>(LF.PostIncLoops);
Reg = TransformForPostIncUse(Denormalize, Reg,
LF.UserInst, LF.OperandValToReplace,
Loops, SE, DT);
Ops.push_back(SE.getUnknown(Rewriter.expandCodeFor(Reg, 0, IP)));
}
// Flush the operand list to suppress SCEVExpander hoisting.
if (!Ops.empty()) {
Value *FullV = Rewriter.expandCodeFor(SE.getAddExpr(Ops), Ty, IP);
Ops.clear();
Ops.push_back(SE.getUnknown(FullV));
}
// Expand the ScaledReg portion.
Value *ICmpScaledV = 0;
if (F.AM.Scale != 0) {
const SCEV *ScaledS = F.ScaledReg;
// If we're expanding for a post-inc user, make the post-inc adjustment.
PostIncLoopSet &Loops = const_cast<PostIncLoopSet &>(LF.PostIncLoops);
ScaledS = TransformForPostIncUse(Denormalize, ScaledS,
LF.UserInst, LF.OperandValToReplace,
Loops, SE, DT);
if (LU.Kind == LSRUse::ICmpZero) {
// An interesting way of "folding" with an icmp is to use a negated
// scale, which we'll implement by inserting it into the other operand
// of the icmp.
assert(F.AM.Scale == -1 &&
"The only scale supported by ICmpZero uses is -1!");
ICmpScaledV = Rewriter.expandCodeFor(ScaledS, 0, IP);
} else {
// Otherwise just expand the scaled register and an explicit scale,
// which is expected to be matched as part of the address.
ScaledS = SE.getUnknown(Rewriter.expandCodeFor(ScaledS, 0, IP));
ScaledS = SE.getMulExpr(ScaledS,
SE.getConstant(ScaledS->getType(), F.AM.Scale));
Ops.push_back(ScaledS);
// Flush the operand list to suppress SCEVExpander hoisting.
Value *FullV = Rewriter.expandCodeFor(SE.getAddExpr(Ops), Ty, IP);
Ops.clear();
Ops.push_back(SE.getUnknown(FullV));
}
}
// Expand the GV portion.
if (F.AM.BaseGV) {
Ops.push_back(SE.getUnknown(F.AM.BaseGV));
// Flush the operand list to suppress SCEVExpander hoisting.
Value *FullV = Rewriter.expandCodeFor(SE.getAddExpr(Ops), Ty, IP);
Ops.clear();
Ops.push_back(SE.getUnknown(FullV));
}
// Expand the immediate portion.
int64_t Offset = (uint64_t)F.AM.BaseOffs + LF.Offset;
if (Offset != 0) {
if (LU.Kind == LSRUse::ICmpZero) {
// The other interesting way of "folding" with an ICmpZero is to use a
// negated immediate.
if (!ICmpScaledV)
ICmpScaledV = ConstantInt::get(IntTy, -Offset);
else {
Ops.push_back(SE.getUnknown(ICmpScaledV));
ICmpScaledV = ConstantInt::get(IntTy, Offset);
}
} else {
// Just add the immediate values. These again are expected to be matched
// as part of the address.
Ops.push_back(SE.getUnknown(ConstantInt::getSigned(IntTy, Offset)));
}
}
// Emit instructions summing all the operands.
const SCEV *FullS = Ops.empty() ?
SE.getConstant(IntTy, 0) :
SE.getAddExpr(Ops);
Value *FullV = Rewriter.expandCodeFor(FullS, Ty, IP);
// We're done expanding now, so reset the rewriter.
Rewriter.clearPostInc();
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// An ICmpZero Formula represents an ICmp which we're handling as a
// comparison against zero. Now that we've expanded an expression for that
// form, update the ICmp's other operand.
if (LU.Kind == LSRUse::ICmpZero) {
ICmpInst *CI = cast<ICmpInst>(LF.UserInst);
DeadInsts.push_back(CI->getOperand(1));
assert(!F.AM.BaseGV && "ICmp does not support folding a global value and "
"a scale at the same time!");
if (F.AM.Scale == -1) {
if (ICmpScaledV->getType() != OpTy) {
Instruction *Cast =
CastInst::Create(CastInst::getCastOpcode(ICmpScaledV, false,
OpTy, false),
ICmpScaledV, OpTy, "tmp", CI);
ICmpScaledV = Cast;
}
CI->setOperand(1, ICmpScaledV);
} else {
assert(F.AM.Scale == 0 &&
"ICmp does not support folding a global value and "
"a scale at the same time!");
Constant *C = ConstantInt::getSigned(SE.getEffectiveSCEVType(OpTy),
-(uint64_t)Offset);
if (C->getType() != OpTy)
C = ConstantExpr::getCast(CastInst::getCastOpcode(C, false,
OpTy, false),
C, OpTy);
CI->setOperand(1, C);
}
}
return FullV;
}
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/// RewriteForPHI - Helper for Rewrite. PHI nodes are special because the use
/// of their operands effectively happens in their predecessor blocks, so the
/// expression may need to be expanded in multiple places.
void LSRInstance::RewriteForPHI(PHINode *PN,
const LSRFixup &LF,
const Formula &F,
SCEVExpander &Rewriter,
SmallVectorImpl<WeakVH> &DeadInsts,
Pass *P) const {
DenseMap<BasicBlock *, Value *> Inserted;
for (unsigned i = 0, e = PN->getNumIncomingValues(); i != e; ++i)
if (PN->getIncomingValue(i) == LF.OperandValToReplace) {
BasicBlock *BB = PN->getIncomingBlock(i);
// If this is a critical edge, split the edge so that we do not insert
// the code on all predecessor/successor paths. We do this unless this
// is the canonical backedge for this loop, which complicates post-inc
// users.
if (e != 1 && BB->getTerminator()->getNumSuccessors() > 1 &&
!isa<IndirectBrInst>(BB->getTerminator()) &&
(PN->getParent() != L->getHeader() || !L->contains(BB))) {
// Split the critical edge.
BasicBlock *NewBB = SplitCriticalEdge(BB, PN->getParent(), P);
// If PN is outside of the loop and BB is in the loop, we want to
// move the block to be immediately before the PHI block, not
// immediately after BB.
if (L->contains(BB) && !L->contains(PN))
NewBB->moveBefore(PN->getParent());
// Splitting the edge can reduce the number of PHI entries we have.
e = PN->getNumIncomingValues();
BB = NewBB;
i = PN->getBasicBlockIndex(BB);
}
std::pair<DenseMap<BasicBlock *, Value *>::iterator, bool> Pair =
Inserted.insert(std::make_pair(BB, static_cast<Value *>(0)));
if (!Pair.second)
PN->setIncomingValue(i, Pair.first->second);
else {
Value *FullV = Expand(LF, F, BB->getTerminator(), Rewriter, DeadInsts);
// If this is reuse-by-noop-cast, insert the noop cast.
const Type *OpTy = LF.OperandValToReplace->getType();
if (FullV->getType() != OpTy)
FullV =
CastInst::Create(CastInst::getCastOpcode(FullV, false,
OpTy, false),
FullV, LF.OperandValToReplace->getType(),
"tmp", BB->getTerminator());
PN->setIncomingValue(i, FullV);
Pair.first->second = FullV;
}
}
}
/// Rewrite - Emit instructions for the leading candidate expression for this
/// LSRUse (this is called "expanding"), and update the UserInst to reference
/// the newly expanded value.
void LSRInstance::Rewrite(const LSRFixup &LF,
const Formula &F,
SCEVExpander &Rewriter,
SmallVectorImpl<WeakVH> &DeadInsts,
Pass *P) const {
// First, find an insertion point that dominates UserInst. For PHI nodes,
// find the nearest block which dominates all the relevant uses.
if (PHINode *PN = dyn_cast<PHINode>(LF.UserInst)) {
RewriteForPHI(PN, LF, F, Rewriter, DeadInsts, P);
} else {
Value *FullV = Expand(LF, F, LF.UserInst, Rewriter, DeadInsts);
// If this is reuse-by-noop-cast, insert the noop cast.
const Type *OpTy = LF.OperandValToReplace->getType();
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if (FullV->getType() != OpTy) {
Instruction *Cast =
CastInst::Create(CastInst::getCastOpcode(FullV, false, OpTy, false),
FullV, OpTy, "tmp", LF.UserInst);
FullV = Cast;
}
// Update the user. ICmpZero is handled specially here (for now) because
// Expand may have updated one of the operands of the icmp already, and
// its new value may happen to be equal to LF.OperandValToReplace, in
// which case doing replaceUsesOfWith leads to replacing both operands
// with the same value. TODO: Reorganize this.
if (Uses[LF.LUIdx].Kind == LSRUse::ICmpZero)
LF.UserInst->setOperand(0, FullV);
else
LF.UserInst->replaceUsesOfWith(LF.OperandValToReplace, FullV);
}
DeadInsts.push_back(LF.OperandValToReplace);
}
void
LSRInstance::ImplementSolution(const SmallVectorImpl<const Formula *> &Solution,
Pass *P) {
// Keep track of instructions we may have made dead, so that
// we can remove them after we are done working.
SmallVector<WeakVH, 16> DeadInsts;
SCEVExpander Rewriter(SE);
Rewriter.disableCanonicalMode();
Rewriter.setIVIncInsertPos(L, IVIncInsertPos);
// Expand the new value definitions and update the users.
for (size_t i = 0, e = Fixups.size(); i != e; ++i) {
size_t LUIdx = Fixups[i].LUIdx;
Rewrite(Fixups[i], *Solution[LUIdx], Rewriter, DeadInsts, P);
Changed = true;
}
// Clean up after ourselves. This must be done before deleting any
// instructions.
Rewriter.clear();
Changed |= DeleteTriviallyDeadInstructions(DeadInsts);
}
LSRInstance::LSRInstance(const TargetLowering *tli, Loop *l, Pass *P)
: IU(P->getAnalysis<IVUsers>()),
SE(P->getAnalysis<ScalarEvolution>()),
DT(P->getAnalysis<DominatorTree>()),
LI(P->getAnalysis<LoopInfo>()),
TLI(tli), L(l), Changed(false), IVIncInsertPos(0) {
Evan Cheng
committed
// If LoopSimplify form is not available, stay out of trouble.
if (!L->isLoopSimplifyForm()) return;
// If there's no interesting work to be done, bail early.
if (IU.empty()) return;
DEBUG(dbgs() << "\nLSR on loop ";
WriteAsOperand(dbgs(), L->getHeader(), /*PrintType=*/false);
dbgs() << ":\n");
/// OptimizeShadowIV - If IV is used in a int-to-float cast
/// inside the loop then try to eliminate the cast operation.
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OptimizeShadowIV();
// Change loop terminating condition to use the postinc iv when possible.
Changed |= OptimizeLoopTermCond();
CollectInterestingTypesAndFactors();
CollectFixupsAndInitialFormulae();
CollectLoopInvariantFixupsAndFormulae();
DEBUG(dbgs() << "LSR found " << Uses.size() << " uses:\n";
print_uses(dbgs()));
// Now use the reuse data to generate a bunch of interesting ways
// to formulate the values needed for the uses.
GenerateAllReuseFormulae();
DEBUG(dbgs() << "\n"
"After generating reuse formulae:\n";
print_uses(dbgs()));
FilterOutUndesirableDedicatedRegisters();
NarrowSearchSpaceUsingHeuristics();
SmallVector<const Formula *, 8> Solution;
Solve(Solution);
assert(Solution.size() == Uses.size() && "Malformed solution!");
// Release memory that is no longer needed.
Factors.clear();
Types.clear();
RegUses.clear();
#ifndef NDEBUG
// Formulae should be legal.
for (SmallVectorImpl<LSRUse>::const_iterator I = Uses.begin(),
E = Uses.end(); I != E; ++I) {
const LSRUse &LU = *I;
for (SmallVectorImpl<Formula>::const_iterator J = LU.Formulae.begin(),
JE = LU.Formulae.end(); J != JE; ++J)
assert(isLegalUse(J->AM, LU.MinOffset, LU.MaxOffset,
LU.Kind, LU.AccessTy, TLI) &&
"Illegal formula generated!");
};
#endif
// Now that we've decided what we want, make it so.
ImplementSolution(Solution, P);
}
void LSRInstance::print_factors_and_types(raw_ostream &OS) const {
if (Factors.empty() && Types.empty()) return;
OS << "LSR has identified the following interesting factors and types: ";
bool First = true;
for (SmallSetVector<int64_t, 8>::const_iterator
I = Factors.begin(), E = Factors.end(); I != E; ++I) {
if (!First) OS << ", ";
First = false;
OS << '*' << *I;
}
for (SmallSetVector<const Type *, 4>::const_iterator
I = Types.begin(), E = Types.end(); I != E; ++I) {
if (!First) OS << ", ";
First = false;
OS << '(' << **I << ')';
}
OS << '\n';
}
void LSRInstance::print_fixups(raw_ostream &OS) const {
OS << "LSR is examining the following fixup sites:\n";
for (SmallVectorImpl<LSRFixup>::const_iterator I = Fixups.begin(),
E = Fixups.end(); I != E; ++I) {
const LSRFixup &LF = *I;
dbgs() << " ";
LF.print(OS);
OS << '\n';
}
}
void LSRInstance::print_uses(raw_ostream &OS) const {
OS << "LSR is examining the following uses:\n";
for (SmallVectorImpl<LSRUse>::const_iterator I = Uses.begin(),
E = Uses.end(); I != E; ++I) {
const LSRUse &LU = *I;
dbgs() << " ";
LU.print(OS);
OS << '\n';
for (SmallVectorImpl<Formula>::const_iterator J = LU.Formulae.begin(),
JE = LU.Formulae.end(); J != JE; ++J) {
OS << " ";
J->print(OS);
OS << '\n';
}
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}
void LSRInstance::print(raw_ostream &OS) const {
print_factors_and_types(OS);
print_fixups(OS);
print_uses(OS);
}
void LSRInstance::dump() const {
print(errs()); errs() << '\n';
}
namespace {
class LoopStrengthReduce : public LoopPass {
/// TLI - Keep a pointer of a TargetLowering to consult for determining
/// transformation profitability.
const TargetLowering *const TLI;
public:
static char ID; // Pass ID, replacement for typeid
explicit LoopStrengthReduce(const TargetLowering *tli = 0);
private:
bool runOnLoop(Loop *L, LPPassManager &LPM);
void getAnalysisUsage(AnalysisUsage &AU) const;
};
}
char LoopStrengthReduce::ID = 0;
static RegisterPass<LoopStrengthReduce>
X("loop-reduce", "Loop Strength Reduction");
Pass *llvm::createLoopStrengthReducePass(const TargetLowering *TLI) {
return new LoopStrengthReduce(TLI);
}
LoopStrengthReduce::LoopStrengthReduce(const TargetLowering *tli)
: LoopPass(&ID), TLI(tli) {}
void LoopStrengthReduce::getAnalysisUsage(AnalysisUsage &AU) const {
// We split critical edges, so we change the CFG. However, we do update
// many analyses if they are around.
AU.addPreservedID(LoopSimplifyID);
AU.addPreserved("domfrontier");
AU.addRequired<LoopInfo>();
AU.addPreserved<LoopInfo>();
AU.addRequiredID(LoopSimplifyID);
AU.addRequired<DominatorTree>();
AU.addPreserved<DominatorTree>();
AU.addRequired<ScalarEvolution>();
AU.addPreserved<ScalarEvolution>();
AU.addRequired<IVUsers>();
AU.addPreserved<IVUsers>();
}
bool LoopStrengthReduce::runOnLoop(Loop *L, LPPassManager & /*LPM*/) {
bool Changed = false;
// Run the main LSR transformation.
Changed |= LSRInstance(TLI, L, this).getChanged();
// At this point, it is worth checking to see if any recurrence PHIs are also
// dead, so that we can remove them as well.
Changed |= DeleteDeadPHIs(L->getHeader());