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llvm-project/llvm/lib/Transforms/Scalar/LoopStrengthReduce.cpp

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//===- LoopStrengthReduce.cpp - Strength Reduce IVs in Loops --------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// This transformation analyzes and transforms the induction variables (and
// computations derived from them) into forms suitable for efficient execution
// on the target.
//
// This pass performs a strength reduction on array references inside loops that
// have as one or more of their components the loop induction variable, it
// rewrites expressions to take advantage of scaled-index addressing modes
// available on the target, and it performs a variety of other optimizations
// related to loop induction variables.
//
// Terminology note: this code has a lot of handling for "post-increment" or
// "post-inc" users. This is not talking about post-increment addressing modes;
// it is instead talking about code like this:
//
// %i = phi [ 0, %entry ], [ %i.next, %latch ]
// ...
// %i.next = add %i, 1
// %c = icmp eq %i.next, %n
//
// The SCEV for %i is {0,+,1}<%L>. The SCEV for %i.next is {1,+,1}<%L>, however
// it's useful to think about these as the same register, with some uses using
// the value of the register before the add and some using // it after. In this
// example, the icmp is a post-increment user, since it uses %i.next, which is
// the value of the induction variable after the increment. The other common
// case of post-increment users is users outside the loop.
//
// TODO: More sophistication in the way Formulae are generated and filtered.
//
// TODO: Handle multiple loops at a time.
//
// TODO: Should TargetLowering::AddrMode::BaseGV be changed to a ConstantExpr
// instead of a GlobalValue?
//
// TODO: When truncation is free, truncate ICmp users' operands to make it a
// smaller encoding (on x86 at least).
//
// TODO: When a negated register is used by an add (such as in a list of
// multiple base registers, or as the increment expression in an addrec),
// we may not actually need both reg and (-1 * reg) in registers; the
// negation can be implemented by using a sub instead of an add. The
// lack of support for taking this into consideration when making
// register pressure decisions is partly worked around by the "Special"
// use kind.
//
//===----------------------------------------------------------------------===//
#define DEBUG_TYPE "loop-reduce"
#include "llvm/Transforms/Scalar.h"
#include "llvm/Constants.h"
#include "llvm/Instructions.h"
#include "llvm/IntrinsicInst.h"
#include "llvm/DerivedTypes.h"
#include "llvm/Analysis/IVUsers.h"
#include "llvm/Analysis/Dominators.h"
#include "llvm/Analysis/LoopPass.h"
#include "llvm/Analysis/ScalarEvolutionExpander.h"
#include "llvm/Assembly/Writer.h"
#include "llvm/Transforms/Utils/BasicBlockUtils.h"
#include "llvm/Transforms/Utils/Local.h"
#include "llvm/ADT/SmallBitVector.h"
#include "llvm/ADT/SetVector.h"
#include "llvm/ADT/DenseSet.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/ValueHandle.h"
#include "llvm/Support/raw_ostream.h"
#include "llvm/Target/TargetLowering.h"
#include <algorithm>
using namespace llvm;
namespace {
/// RegSortData - This class holds data which is used to order reuse candidates.
class RegSortData {
public:
/// UsedByIndices - This represents the set of LSRUse indices which reference
/// a particular register.
SmallBitVector UsedByIndices;
RegSortData() {}
void print(raw_ostream &OS) const;
void dump() const;
};
}
void RegSortData::print(raw_ostream &OS) const {
OS << "[NumUses=" << UsedByIndices.count() << ']';
}
void RegSortData::dump() const {
print(errs()); errs() << '\n';
}
namespace {
/// RegUseTracker - Map register candidates to information about how they are
/// used.
class RegUseTracker {
typedef DenseMap<const SCEV *, RegSortData> RegUsesTy;
RegUsesTy RegUsesMap;
SmallVector<const SCEV *, 16> RegSequence;
public:
void CountRegister(const SCEV *Reg, size_t LUIdx);
void DropRegister(const SCEV *Reg, size_t LUIdx);
void SwapAndDropUse(size_t LUIdx, size_t LastLUIdx);
bool isRegUsedByUsesOtherThan(const SCEV *Reg, size_t LUIdx) const;
const SmallBitVector &getUsedByIndices(const SCEV *Reg) const;
void clear();
typedef SmallVectorImpl<const SCEV *>::iterator iterator;
typedef SmallVectorImpl<const SCEV *>::const_iterator const_iterator;
iterator begin() { return RegSequence.begin(); }
iterator end() { return RegSequence.end(); }
const_iterator begin() const { return RegSequence.begin(); }
const_iterator end() const { return RegSequence.end(); }
};
}
void
RegUseTracker::CountRegister(const SCEV *Reg, size_t LUIdx) {
std::pair<RegUsesTy::iterator, bool> Pair =
RegUsesMap.insert(std::make_pair(Reg, RegSortData()));
RegSortData &RSD = Pair.first->second;
if (Pair.second)
RegSequence.push_back(Reg);
RSD.UsedByIndices.resize(std::max(RSD.UsedByIndices.size(), LUIdx + 1));
RSD.UsedByIndices.set(LUIdx);
}
void
RegUseTracker::DropRegister(const SCEV *Reg, size_t LUIdx) {
RegUsesTy::iterator It = RegUsesMap.find(Reg);
assert(It != RegUsesMap.end());
RegSortData &RSD = It->second;
assert(RSD.UsedByIndices.size() > LUIdx);
RSD.UsedByIndices.reset(LUIdx);
}
void
RegUseTracker::SwapAndDropUse(size_t LUIdx, size_t LastLUIdx) {
assert(LUIdx <= LastLUIdx);
// Update RegUses. The data structure is not optimized for this purpose;
// we must iterate through it and update each of the bit vectors.
for (RegUsesTy::iterator I = RegUsesMap.begin(), E = RegUsesMap.end();
I != E; ++I) {
SmallBitVector &UsedByIndices = I->second.UsedByIndices;
if (LUIdx < UsedByIndices.size())
UsedByIndices[LUIdx] =
LastLUIdx < UsedByIndices.size() ? UsedByIndices[LastLUIdx] : 0;
UsedByIndices.resize(std::min(UsedByIndices.size(), LastLUIdx));
}
}
bool
RegUseTracker::isRegUsedByUsesOtherThan(const SCEV *Reg, size_t LUIdx) const {
RegUsesTy::const_iterator I = RegUsesMap.find(Reg);
if (I == RegUsesMap.end())
return false;
const SmallBitVector &UsedByIndices = I->second.UsedByIndices;
int i = UsedByIndices.find_first();
if (i == -1) return false;
if ((size_t)i != LUIdx) return true;
return UsedByIndices.find_next(i) != -1;
}
const SmallBitVector &RegUseTracker::getUsedByIndices(const SCEV *Reg) const {
RegUsesTy::const_iterator I = RegUsesMap.find(Reg);
assert(I != RegUsesMap.end() && "Unknown register!");
return I->second.UsedByIndices;
}
void RegUseTracker::clear() {
RegUsesMap.clear();
RegSequence.clear();
}
namespace {
/// Formula - This class holds information that describes a formula for
/// computing satisfying a use. It may include broken-out immediates and scaled
/// registers.
struct Formula {
/// AM - This is used to represent complex addressing, as well as other kinds
/// of interesting uses.
TargetLowering::AddrMode AM;
/// BaseRegs - The list of "base" registers for this use. When this is
/// non-empty, AM.HasBaseReg should be set to true.
SmallVector<const SCEV *, 2> BaseRegs;
/// ScaledReg - The 'scaled' register for this use. This should be non-null
/// when AM.Scale is not zero.
const SCEV *ScaledReg;
/// UnfoldedOffset - An additional constant offset which added near the
/// use. This requires a temporary register, but the offset itself can
/// live in an add immediate field rather than a register.
int64_t UnfoldedOffset;
Formula() : ScaledReg(0), UnfoldedOffset(0) {}
void InitialMatch(const SCEV *S, Loop *L, ScalarEvolution &SE);
unsigned getNumRegs() const;
const Type *getType() const;
void DeleteBaseReg(const SCEV *&S);
bool referencesReg(const SCEV *S) const;
bool hasRegsUsedByUsesOtherThan(size_t LUIdx,
const RegUseTracker &RegUses) const;
void print(raw_ostream &OS) const;
void dump() const;
};
}
/// DoInitialMatch - Recursion helper for InitialMatch.
static void DoInitialMatch(const SCEV *S, Loop *L,
SmallVectorImpl<const SCEV *> &Good,
SmallVectorImpl<const SCEV *> &Bad,
ScalarEvolution &SE) {
// Collect expressions which properly dominate the loop header.
if (SE.properlyDominates(S, L->getHeader())) {
Good.push_back(S);
return;
}
// Look at add operands.
if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(S)) {
for (SCEVAddExpr::op_iterator I = Add->op_begin(), E = Add->op_end();
I != E; ++I)
DoInitialMatch(*I, L, Good, Bad, SE);
return;
}
// Look at addrec operands.
if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S))
if (!AR->getStart()->isZero()) {
DoInitialMatch(AR->getStart(), L, Good, Bad, SE);
DoInitialMatch(SE.getAddRecExpr(SE.getConstant(AR->getType(), 0),
AR->getStepRecurrence(SE),
// FIXME: AR->getNoWrapFlags()
AR->getLoop(), SCEV::FlagAnyWrap),
L, Good, Bad, SE);
return;
}
// Handle a multiplication by -1 (negation) if it didn't fold.
if (const SCEVMulExpr *Mul = dyn_cast<SCEVMulExpr>(S))
if (Mul->getOperand(0)->isAllOnesValue()) {
SmallVector<const SCEV *, 4> Ops(Mul->op_begin()+1, Mul->op_end());
const SCEV *NewMul = SE.getMulExpr(Ops);
SmallVector<const SCEV *, 4> MyGood;
SmallVector<const SCEV *, 4> MyBad;
DoInitialMatch(NewMul, L, MyGood, MyBad, SE);
const SCEV *NegOne = SE.getSCEV(ConstantInt::getAllOnesValue(
SE.getEffectiveSCEVType(NewMul->getType())));
for (SmallVectorImpl<const SCEV *>::const_iterator I = MyGood.begin(),
E = MyGood.end(); I != E; ++I)
Good.push_back(SE.getMulExpr(NegOne, *I));
for (SmallVectorImpl<const SCEV *>::const_iterator I = MyBad.begin(),
E = MyBad.end(); I != E; ++I)
Bad.push_back(SE.getMulExpr(NegOne, *I));
return;
}
// Ok, we can't do anything interesting. Just stuff the whole thing into a
// register and hope for the best.
Bad.push_back(S);
}
/// InitialMatch - Incorporate loop-variant parts of S into this Formula,
/// attempting to keep all loop-invariant and loop-computable values in a
/// single base register.
void Formula::InitialMatch(const SCEV *S, Loop *L, ScalarEvolution &SE) {
SmallVector<const SCEV *, 4> Good;
SmallVector<const SCEV *, 4> Bad;
DoInitialMatch(S, L, Good, Bad, SE);
if (!Good.empty()) {
const SCEV *Sum = SE.getAddExpr(Good);
if (!Sum->isZero())
BaseRegs.push_back(Sum);
AM.HasBaseReg = true;
}
if (!Bad.empty()) {
const SCEV *Sum = SE.getAddExpr(Bad);
if (!Sum->isZero())
BaseRegs.push_back(Sum);
AM.HasBaseReg = true;
}
}
/// getNumRegs - Return the total number of register operands used by this
/// formula. This does not include register uses implied by non-constant
/// addrec strides.
unsigned Formula::getNumRegs() const {
return !!ScaledReg + BaseRegs.size();
}
/// getType - Return the type of this formula, if it has one, or null
/// otherwise. This type is meaningless except for the bit size.
const Type *Formula::getType() const {
return !BaseRegs.empty() ? BaseRegs.front()->getType() :
ScaledReg ? ScaledReg->getType() :
AM.BaseGV ? AM.BaseGV->getType() :
0;
}
/// DeleteBaseReg - Delete the given base reg from the BaseRegs list.
void Formula::DeleteBaseReg(const SCEV *&S) {
if (&S != &BaseRegs.back())
std::swap(S, BaseRegs.back());
BaseRegs.pop_back();
}
/// referencesReg - Test if this formula references the given register.
bool Formula::referencesReg(const SCEV *S) const {
return S == ScaledReg ||
std::find(BaseRegs.begin(), BaseRegs.end(), S) != BaseRegs.end();
}
/// hasRegsUsedByUsesOtherThan - Test whether this formula uses registers
/// which are used by uses other than the use with the given index.
bool Formula::hasRegsUsedByUsesOtherThan(size_t LUIdx,
const RegUseTracker &RegUses) const {
if (ScaledReg)
if (RegUses.isRegUsedByUsesOtherThan(ScaledReg, LUIdx))
return true;
for (SmallVectorImpl<const SCEV *>::const_iterator I = BaseRegs.begin(),
E = BaseRegs.end(); I != E; ++I)
if (RegUses.isRegUsedByUsesOtherThan(*I, LUIdx))
return true;
return false;
}
void Formula::print(raw_ostream &OS) const {
bool First = true;
if (AM.BaseGV) {
if (!First) OS << " + "; else First = false;
WriteAsOperand(OS, AM.BaseGV, /*PrintType=*/false);
}
if (AM.BaseOffs != 0) {
if (!First) OS << " + "; else First = false;
OS << AM.BaseOffs;
}
for (SmallVectorImpl<const SCEV *>::const_iterator I = BaseRegs.begin(),
E = BaseRegs.end(); I != E; ++I) {
if (!First) OS << " + "; else First = false;
OS << "reg(" << **I << ')';
}
if (AM.HasBaseReg && BaseRegs.empty()) {
if (!First) OS << " + "; else First = false;
OS << "**error: HasBaseReg**";
} else if (!AM.HasBaseReg && !BaseRegs.empty()) {
if (!First) OS << " + "; else First = false;
OS << "**error: !HasBaseReg**";
}
if (AM.Scale != 0) {
if (!First) OS << " + "; else First = false;
OS << AM.Scale << "*reg(";
if (ScaledReg)
OS << *ScaledReg;
else
OS << "<unknown>";
OS << ')';
}
if (UnfoldedOffset != 0) {
if (!First) OS << " + "; else First = false;
OS << "imm(" << UnfoldedOffset << ')';
}
}
void Formula::dump() const {
print(errs()); errs() << '\n';
}
/// isAddRecSExtable - Return true if the given addrec can be sign-extended
/// without changing its value.
static bool isAddRecSExtable(const SCEVAddRecExpr *AR, ScalarEvolution &SE) {
const Type *WideTy =
IntegerType::get(SE.getContext(), SE.getTypeSizeInBits(AR->getType()) + 1);
return isa<SCEVAddRecExpr>(SE.getSignExtendExpr(AR, WideTy));
}
/// isAddSExtable - Return true if the given add can be sign-extended
/// without changing its value.
static bool isAddSExtable(const SCEVAddExpr *A, ScalarEvolution &SE) {
const Type *WideTy =
IntegerType::get(SE.getContext(), SE.getTypeSizeInBits(A->getType()) + 1);
return isa<SCEVAddExpr>(SE.getSignExtendExpr(A, WideTy));
}
/// isMulSExtable - Return true if the given mul can be sign-extended
/// without changing its value.
static bool isMulSExtable(const SCEVMulExpr *M, ScalarEvolution &SE) {
const Type *WideTy =
IntegerType::get(SE.getContext(),
SE.getTypeSizeInBits(M->getType()) * M->getNumOperands());
return isa<SCEVMulExpr>(SE.getSignExtendExpr(M, WideTy));
}
/// getExactSDiv - Return an expression for LHS /s RHS, if it can be determined
/// and if the remainder is known to be zero, or null otherwise. If
/// IgnoreSignificantBits is true, expressions like (X * Y) /s Y are simplified
/// to Y, ignoring that the multiplication may overflow, which is useful when
/// the result will be used in a context where the most significant bits are
/// ignored.
static const SCEV *getExactSDiv(const SCEV *LHS, const SCEV *RHS,
ScalarEvolution &SE,
bool IgnoreSignificantBits = false) {
// Handle the trivial case, which works for any SCEV type.
if (LHS == RHS)
return SE.getConstant(LHS->getType(), 1);
// Handle a few RHS special cases.
const SCEVConstant *RC = dyn_cast<SCEVConstant>(RHS);
if (RC) {
const APInt &RA = RC->getValue()->getValue();
// Handle x /s -1 as x * -1, to give ScalarEvolution a chance to do
// some folding.
if (RA.isAllOnesValue())
return SE.getMulExpr(LHS, RC);
// Handle x /s 1 as x.
if (RA == 1)
return LHS;
}
// Check for a division of a constant by a constant.
if (const SCEVConstant *C = dyn_cast<SCEVConstant>(LHS)) {
if (!RC)
return 0;
const APInt &LA = C->getValue()->getValue();
const APInt &RA = RC->getValue()->getValue();
if (LA.srem(RA) != 0)
return 0;
return SE.getConstant(LA.sdiv(RA));
}
// Distribute the sdiv over addrec operands, if the addrec doesn't overflow.
if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(LHS)) {
if (IgnoreSignificantBits || isAddRecSExtable(AR, SE)) {
const SCEV *Step = getExactSDiv(AR->getStepRecurrence(SE), RHS, SE,
IgnoreSignificantBits);
if (!Step) return 0;
const SCEV *Start = getExactSDiv(AR->getStart(), RHS, SE,
IgnoreSignificantBits);
if (!Start) return 0;
// FlagNW is independent of the start value, step direction, and is
// preserved with smaller magnitude steps.
// FIXME: AR->getNoWrapFlags(SCEV::FlagNW)
return SE.getAddRecExpr(Start, Step, AR->getLoop(), SCEV::FlagAnyWrap);
}
return 0;
}
// Distribute the sdiv over add operands, if the add doesn't overflow.
if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(LHS)) {
if (IgnoreSignificantBits || isAddSExtable(Add, SE)) {
SmallVector<const SCEV *, 8> Ops;
for (SCEVAddExpr::op_iterator I = Add->op_begin(), E = Add->op_end();
I != E; ++I) {
const SCEV *Op = getExactSDiv(*I, RHS, SE,
IgnoreSignificantBits);
if (!Op) return 0;
Ops.push_back(Op);
}
return SE.getAddExpr(Ops);
}
return 0;
}
// Check for a multiply operand that we can pull RHS out of.
if (const SCEVMulExpr *Mul = dyn_cast<SCEVMulExpr>(LHS)) {
if (IgnoreSignificantBits || isMulSExtable(Mul, SE)) {
SmallVector<const SCEV *, 4> Ops;
bool Found = false;
for (SCEVMulExpr::op_iterator I = Mul->op_begin(), E = Mul->op_end();
I != E; ++I) {
const SCEV *S = *I;
if (!Found)
if (const SCEV *Q = getExactSDiv(S, RHS, SE,
IgnoreSignificantBits)) {
S = Q;
Found = true;
}
Ops.push_back(S);
}
return Found ? SE.getMulExpr(Ops) : 0;
}
return 0;
}
// Otherwise we don't know.
return 0;
}
/// ExtractImmediate - If S involves the addition of a constant integer value,
/// return that integer value, and mutate S to point to a new SCEV with that
/// value excluded.
static int64_t ExtractImmediate(const SCEV *&S, ScalarEvolution &SE) {
if (const SCEVConstant *C = dyn_cast<SCEVConstant>(S)) {
if (C->getValue()->getValue().getMinSignedBits() <= 64) {
S = SE.getConstant(C->getType(), 0);
return C->getValue()->getSExtValue();
}
} else if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(S)) {
SmallVector<const SCEV *, 8> NewOps(Add->op_begin(), Add->op_end());
int64_t Result = ExtractImmediate(NewOps.front(), SE);
if (Result != 0)
S = SE.getAddExpr(NewOps);
return Result;
} else if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S)) {
SmallVector<const SCEV *, 8> NewOps(AR->op_begin(), AR->op_end());
int64_t Result = ExtractImmediate(NewOps.front(), SE);
if (Result != 0)
S = SE.getAddRecExpr(NewOps, AR->getLoop(),
// FIXME: AR->getNoWrapFlags(SCEV::FlagNW)
SCEV::FlagAnyWrap);
return Result;
}
return 0;
}
/// ExtractSymbol - If S involves the addition of a GlobalValue address,
/// return that symbol, and mutate S to point to a new SCEV with that
/// value excluded.
static GlobalValue *ExtractSymbol(const SCEV *&S, ScalarEvolution &SE) {
if (const SCEVUnknown *U = dyn_cast<SCEVUnknown>(S)) {
if (GlobalValue *GV = dyn_cast<GlobalValue>(U->getValue())) {
S = SE.getConstant(GV->getType(), 0);
return GV;
}
} else if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(S)) {
SmallVector<const SCEV *, 8> NewOps(Add->op_begin(), Add->op_end());
GlobalValue *Result = ExtractSymbol(NewOps.back(), SE);
if (Result)
S = SE.getAddExpr(NewOps);
return Result;
} else if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S)) {
SmallVector<const SCEV *, 8> NewOps(AR->op_begin(), AR->op_end());
GlobalValue *Result = ExtractSymbol(NewOps.front(), SE);
if (Result)
S = SE.getAddRecExpr(NewOps, AR->getLoop(),
// FIXME: AR->getNoWrapFlags(SCEV::FlagNW)
SCEV::FlagAnyWrap);
return Result;
}
return 0;
}
/// isAddressUse - Returns true if the specified instruction is using the
/// specified value as an address.
static bool isAddressUse(Instruction *Inst, Value *OperandVal) {
bool isAddress = isa<LoadInst>(Inst);
if (StoreInst *SI = dyn_cast<StoreInst>(Inst)) {
if (SI->getOperand(1) == OperandVal)
isAddress = true;
} else if (IntrinsicInst *II = dyn_cast<IntrinsicInst>(Inst)) {
// Addressing modes can also be folded into prefetches and a variety
// of intrinsics.
switch (II->getIntrinsicID()) {
default: break;
case Intrinsic::prefetch:
case Intrinsic::x86_sse_storeu_ps:
case Intrinsic::x86_sse2_storeu_pd:
case Intrinsic::x86_sse2_storeu_dq:
case Intrinsic::x86_sse2_storel_dq:
if (II->getArgOperand(0) == OperandVal)
isAddress = true;
break;
}
}
return isAddress;
}
/// getAccessType - Return the type of the memory being accessed.
static const Type *getAccessType(const Instruction *Inst) {
const Type *AccessTy = Inst->getType();
if (const StoreInst *SI = dyn_cast<StoreInst>(Inst))
AccessTy = SI->getOperand(0)->getType();
else if (const IntrinsicInst *II = dyn_cast<IntrinsicInst>(Inst)) {
// Addressing modes can also be folded into prefetches and a variety
// of intrinsics.
switch (II->getIntrinsicID()) {
default: break;
case Intrinsic::x86_sse_storeu_ps:
case Intrinsic::x86_sse2_storeu_pd:
case Intrinsic::x86_sse2_storeu_dq:
case Intrinsic::x86_sse2_storel_dq:
AccessTy = II->getArgOperand(0)->getType();
break;
}
}
// All pointers have the same requirements, so canonicalize them to an
// arbitrary pointer type to minimize variation.
if (const PointerType *PTy = dyn_cast<PointerType>(AccessTy))
AccessTy = PointerType::get(IntegerType::get(PTy->getContext(), 1),
PTy->getAddressSpace());
return AccessTy;
}
/// DeleteTriviallyDeadInstructions - If any of the instructions is the
/// specified set are trivially dead, delete them and see if this makes any of
/// their operands subsequently dead.
static bool
DeleteTriviallyDeadInstructions(SmallVectorImpl<WeakVH> &DeadInsts) {
bool Changed = false;
while (!DeadInsts.empty()) {
Instruction *I = dyn_cast_or_null<Instruction>(&*DeadInsts.pop_back_val());
if (I == 0 || !isInstructionTriviallyDead(I))
continue;
for (User::op_iterator OI = I->op_begin(), E = I->op_end(); OI != E; ++OI)
if (Instruction *U = dyn_cast<Instruction>(*OI)) {
*OI = 0;
if (U->use_empty())
DeadInsts.push_back(U);
}
I->eraseFromParent();
Changed = true;
}
return Changed;
}
namespace {
/// Cost - This class is used to measure and compare candidate formulae.
class Cost {
/// TODO: Some of these could be merged. Also, a lexical ordering
/// isn't always optimal.
unsigned NumRegs;
unsigned AddRecCost;
unsigned NumIVMuls;
unsigned NumBaseAdds;
unsigned ImmCost;
unsigned SetupCost;
public:
Cost()
: NumRegs(0), AddRecCost(0), NumIVMuls(0), NumBaseAdds(0), ImmCost(0),
SetupCost(0) {}
bool operator<(const Cost &Other) const;
void Loose();
void RateFormula(const Formula &F,
SmallPtrSet<const SCEV *, 16> &Regs,
const DenseSet<const SCEV *> &VisitedRegs,
const Loop *L,
const SmallVectorImpl<int64_t> &Offsets,
ScalarEvolution &SE, DominatorTree &DT);
void print(raw_ostream &OS) const;
void dump() const;
private:
void RateRegister(const SCEV *Reg,
SmallPtrSet<const SCEV *, 16> &Regs,
const Loop *L,
ScalarEvolution &SE, DominatorTree &DT);
void RatePrimaryRegister(const SCEV *Reg,
SmallPtrSet<const SCEV *, 16> &Regs,
const Loop *L,
ScalarEvolution &SE, DominatorTree &DT);
};
}
/// RateRegister - Tally up interesting quantities from the given register.
void Cost::RateRegister(const SCEV *Reg,
SmallPtrSet<const SCEV *, 16> &Regs,
const Loop *L,
ScalarEvolution &SE, DominatorTree &DT) {
if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(Reg)) {
if (AR->getLoop() == L)
AddRecCost += 1; /// TODO: This should be a function of the stride.
// If this is an addrec for a loop that's already been visited by LSR,
// don't second-guess its addrec phi nodes. LSR isn't currently smart
// enough to reason about more than one loop at a time. Consider these
// registers free and leave them alone.
else if (L->contains(AR->getLoop()) ||
(!AR->getLoop()->contains(L) &&
DT.dominates(L->getHeader(), AR->getLoop()->getHeader()))) {
for (BasicBlock::iterator I = AR->getLoop()->getHeader()->begin();
PHINode *PN = dyn_cast<PHINode>(I); ++I)
if (SE.isSCEVable(PN->getType()) &&
(SE.getEffectiveSCEVType(PN->getType()) ==
SE.getEffectiveSCEVType(AR->getType())) &&
SE.getSCEV(PN) == AR)
return;
// If this isn't one of the addrecs that the loop already has, it
// would require a costly new phi and add. TODO: This isn't
// precisely modeled right now.
++NumBaseAdds;
if (!Regs.count(AR->getStart()))
RateRegister(AR->getStart(), Regs, L, SE, DT);
}
// Add the step value register, if it needs one.
// TODO: The non-affine case isn't precisely modeled here.
if (!AR->isAffine() || !isa<SCEVConstant>(AR->getOperand(1)))
if (!Regs.count(AR->getStart()))
RateRegister(AR->getOperand(1), Regs, L, SE, DT);
}
++NumRegs;
// Rough heuristic; favor registers which don't require extra setup
// instructions in the preheader.
if (!isa<SCEVUnknown>(Reg) &&
!isa<SCEVConstant>(Reg) &&
!(isa<SCEVAddRecExpr>(Reg) &&
(isa<SCEVUnknown>(cast<SCEVAddRecExpr>(Reg)->getStart()) ||
isa<SCEVConstant>(cast<SCEVAddRecExpr>(Reg)->getStart()))))
++SetupCost;
NumIVMuls += isa<SCEVMulExpr>(Reg) &&
SE.hasComputableLoopEvolution(Reg, L);
}
/// RatePrimaryRegister - Record this register in the set. If we haven't seen it
/// before, rate it.
void Cost::RatePrimaryRegister(const SCEV *Reg,
SmallPtrSet<const SCEV *, 16> &Regs,
const Loop *L,
ScalarEvolution &SE, DominatorTree &DT) {
if (Regs.insert(Reg))
RateRegister(Reg, Regs, L, SE, DT);
}
void Cost::RateFormula(const Formula &F,
SmallPtrSet<const SCEV *, 16> &Regs,
const DenseSet<const SCEV *> &VisitedRegs,
const Loop *L,
const SmallVectorImpl<int64_t> &Offsets,
ScalarEvolution &SE, DominatorTree &DT) {
// Tally up the registers.
if (const SCEV *ScaledReg = F.ScaledReg) {
if (VisitedRegs.count(ScaledReg)) {
Loose();
return;
}
RatePrimaryRegister(ScaledReg, Regs, L, SE, DT);
}
for (SmallVectorImpl<const SCEV *>::const_iterator I = F.BaseRegs.begin(),
E = F.BaseRegs.end(); I != E; ++I) {
const SCEV *BaseReg = *I;
if (VisitedRegs.count(BaseReg)) {
Loose();
return;
}
RatePrimaryRegister(BaseReg, Regs, L, SE, DT);
}
// Determine how many (unfolded) adds we'll need inside the loop.
size_t NumBaseParts = F.BaseRegs.size() + (F.UnfoldedOffset != 0);
if (NumBaseParts > 1)
NumBaseAdds += NumBaseParts - 1;
// Tally up the non-zero immediates.
for (SmallVectorImpl<int64_t>::const_iterator I = Offsets.begin(),
E = Offsets.end(); I != E; ++I) {
int64_t Offset = (uint64_t)*I + F.AM.BaseOffs;
if (F.AM.BaseGV)
ImmCost += 64; // Handle symbolic values conservatively.
// TODO: This should probably be the pointer size.
else if (Offset != 0)
ImmCost += APInt(64, Offset, true).getMinSignedBits();
}
}
/// Loose - Set this cost to a losing value.
void Cost::Loose() {
NumRegs = ~0u;
AddRecCost = ~0u;
NumIVMuls = ~0u;
NumBaseAdds = ~0u;
ImmCost = ~0u;
SetupCost = ~0u;
}
/// operator< - Choose the lower cost.
bool Cost::operator<(const Cost &Other) const {
if (NumRegs != Other.NumRegs)
return NumRegs < Other.NumRegs;
if (AddRecCost != Other.AddRecCost)
return AddRecCost < Other.AddRecCost;
if (NumIVMuls != Other.NumIVMuls)
return NumIVMuls < Other.NumIVMuls;
if (NumBaseAdds != Other.NumBaseAdds)
return NumBaseAdds < Other.NumBaseAdds;
if (ImmCost != Other.ImmCost)
return ImmCost < Other.ImmCost;
if (SetupCost != Other.SetupCost)
return SetupCost < Other.SetupCost;
return false;
}
void Cost::print(raw_ostream &OS) const {
OS << NumRegs << " reg" << (NumRegs == 1 ? "" : "s");
if (AddRecCost != 0)
OS << ", with addrec cost " << AddRecCost;
if (NumIVMuls != 0)
OS << ", plus " << NumIVMuls << " IV mul" << (NumIVMuls == 1 ? "" : "s");
if (NumBaseAdds != 0)
OS << ", plus " << NumBaseAdds << " base add"
<< (NumBaseAdds == 1 ? "" : "s");
if (ImmCost != 0)
OS << ", plus " << ImmCost << " imm cost";
if (SetupCost != 0)
OS << ", plus " << SetupCost << " setup cost";
}
void Cost::dump() const {
print(errs()); errs() << '\n';
}
namespace {
/// LSRFixup - An operand value in an instruction which is to be replaced
/// with some equivalent, possibly strength-reduced, replacement.
struct LSRFixup {
/// UserInst - The instruction which will be updated.
Instruction *UserInst;
/// OperandValToReplace - The operand of the instruction which will
/// be replaced. The operand may be used more than once; every instance
/// will be replaced.
Value *OperandValToReplace;
/// PostIncLoops - If this user is to use the post-incremented value of an
/// induction variable, this variable is non-null and holds the loop
/// associated with the induction variable.
PostIncLoopSet PostIncLoops;
/// LUIdx - The index of the LSRUse describing the expression which
/// this fixup needs, minus an offset (below).
size_t LUIdx;
/// Offset - A constant offset to be added to the LSRUse expression.
/// This allows multiple fixups to share the same LSRUse with different
/// offsets, for example in an unrolled loop.
int64_t Offset;
bool isUseFullyOutsideLoop(const Loop *L) const;
LSRFixup();
void print(raw_ostream &OS) const;
void dump() const;
};
}
LSRFixup::LSRFixup()
: UserInst(0), OperandValToReplace(0), LUIdx(~size_t(0)), Offset(0) {}
/// isUseFullyOutsideLoop - Test whether this fixup always uses its
/// value outside of the given loop.
bool LSRFixup::isUseFullyOutsideLoop(const Loop *L) const {
// PHI nodes use their value in their incoming blocks.
if (const PHINode *PN = dyn_cast<PHINode>(UserInst)) {
for (unsigned i = 0, e = PN->getNumIncomingValues(); i != e; ++i)
if (PN->getIncomingValue(i) == OperandValToReplace &&
L->contains(PN->getIncomingBlock(i)))
return false;
return true;
}
return !L->contains(UserInst);
}
void LSRFixup::print(raw_ostream &OS) const {
OS << "UserInst=";
// Store is common and interesting enough to be worth special-casing.
if (StoreInst *Store = dyn_cast<StoreInst>(UserInst)) {
OS << "store ";
WriteAsOperand(OS, Store->getOperand(0), /*PrintType=*/false);
} else if (UserInst->getType()->isVoidTy())
OS << UserInst->getOpcodeName();
else
WriteAsOperand(OS, UserInst, /*PrintType=*/false);
OS << ", OperandValToReplace=";
WriteAsOperand(OS, OperandValToReplace, /*PrintType=*/false);
for (PostIncLoopSet::const_iterator I = PostIncLoops.begin(),
E = PostIncLoops.end(); I != E; ++I) {
OS << ", PostIncLoop=";
WriteAsOperand(OS, (*I)->getHeader(), /*PrintType=*/false);
}
if (LUIdx != ~size_t(0))
OS << ", LUIdx=" << LUIdx;
if (Offset != 0)
OS << ", Offset=" << Offset;
}
void LSRFixup::dump() const {
print(errs()); errs() << '\n';
}
namespace {
/// UniquifierDenseMapInfo - A DenseMapInfo implementation for holding
/// DenseMaps and DenseSets of sorted SmallVectors of const SCEV*.
struct UniquifierDenseMapInfo {
static SmallVector<const SCEV *, 2> getEmptyKey() {
SmallVector<const SCEV *, 2> V;
V.push_back(reinterpret_cast<const SCEV *>(-1));
return V;
}
static SmallVector<const SCEV *, 2> getTombstoneKey() {
SmallVector<const SCEV *, 2> V;
V.push_back(reinterpret_cast<const SCEV *>(-2));
return V;
}
static unsigned getHashValue(const SmallVector<const SCEV *, 2> &V) {
unsigned Result = 0;
for (SmallVectorImpl<const SCEV *>::const_iterator I = V.begin(),
E = V.end(); I != E; ++I)
Result ^= DenseMapInfo<const SCEV *>::getHashValue(*I);
return Result;
}
static bool isEqual(const SmallVector<const SCEV *, 2> &LHS,
const SmallVector<const SCEV *, 2> &RHS) {
return LHS == RHS;
}
};
/// LSRUse - This class holds the state that LSR keeps for each use in
/// IVUsers, as well as uses invented by LSR itself. It includes information
/// about what kinds of things can be folded into the user, information about
/// the user itself, and information about how the use may be satisfied.
/// TODO: Represent multiple users of the same expression in common?
class LSRUse {
DenseSet<SmallVector<const SCEV *, 2>, UniquifierDenseMapInfo> Uniquifier;
public:
/// KindType - An enum for a kind of use, indicating what types of
/// scaled and immediate operands it might support.
enum KindType {
Basic, ///< A normal use, with no folding.
Special, ///< A special case of basic, allowing -1 scales.
Address, ///< An address use; folding according to TargetLowering
ICmpZero ///< An equality icmp with both operands folded into one.
// TODO: Add a generic icmp too?
};
KindType Kind;
const Type *AccessTy;
SmallVector<int64_t, 8> Offsets;
int64_t MinOffset;
int64_t MaxOffset;
/// AllFixupsOutsideLoop - This records whether all of the fixups using this
/// LSRUse are outside of the loop, in which case some special-case heuristics
/// may be used.
bool AllFixupsOutsideLoop;
/// WidestFixupType - This records the widest use type for any fixup using
/// this LSRUse. FindUseWithSimilarFormula can't consider uses with different
/// max fixup widths to be equivalent, because the narrower one may be relying
/// on the implicit truncation to truncate away bogus bits.
const Type *WidestFixupType;
/// Formulae - A list of ways to build a value that can satisfy this user.
/// After the list is populated, one of these is selected heuristically and
/// used to formulate a replacement for OperandValToReplace in UserInst.
SmallVector<Formula, 12> Formulae;
/// Regs - The set of register candidates used by all formulae in this LSRUse.
SmallPtrSet<const SCEV *, 4> Regs;
LSRUse(KindType K, const Type *T) : Kind(K), AccessTy(T),
MinOffset(INT64_MAX),
MaxOffset(INT64_MIN),
AllFixupsOutsideLoop(true),
WidestFixupType(0) {}
bool HasFormulaWithSameRegs(const Formula &F) const;
bool InsertFormula(const Formula &F);
void DeleteFormula(Formula &F);
void RecomputeRegs(size_t LUIdx, RegUseTracker &Reguses);
void print(raw_ostream &OS) const;
void dump() const;
};
}
/// HasFormula - Test whether this use as a formula which has the same
/// registers as the given formula.
bool LSRUse::HasFormulaWithSameRegs(const Formula &F) const {
SmallVector<const SCEV *, 2> Key = F.BaseRegs;
if (F.ScaledReg) Key.push_back(F.ScaledReg);
// Unstable sort by host order ok, because this is only used for uniquifying.
std::sort(Key.begin(), Key.end());
return Uniquifier.count(Key);
}
/// InsertFormula - If the given formula has not yet been inserted, add it to
/// the list, and return true. Return false otherwise.
bool LSRUse::InsertFormula(const Formula &F) {
SmallVector<const SCEV *, 2> Key = F.BaseRegs;
if (F.ScaledReg) Key.push_back(F.ScaledReg);
// Unstable sort by host order ok, because this is only used for uniquifying.
std::sort(Key.begin(), Key.end());
if (!Uniquifier.insert(Key).second)
return false;
// Using a register to hold the value of 0 is not profitable.
assert((!F.ScaledReg || !F.ScaledReg->isZero()) &&
"Zero allocated in a scaled register!");
#ifndef NDEBUG
for (SmallVectorImpl<const SCEV *>::const_iterator I =
F.BaseRegs.begin(), E = F.BaseRegs.end(); I != E; ++I)
assert(!(*I)->isZero() && "Zero allocated in a base register!");
#endif
// Add the formula to the list.
Formulae.push_back(F);
// Record registers now being used by this use.
if (F.ScaledReg) Regs.insert(F.ScaledReg);
Regs.insert(F.BaseRegs.begin(), F.BaseRegs.end());
return true;
}
/// DeleteFormula - Remove the given formula from this use's list.
void LSRUse::DeleteFormula(Formula &F) {
if (&F != &Formulae.back())
std::swap(F, Formulae.back());
Formulae.pop_back();
assert(!Formulae.empty() && "LSRUse has no formulae left!");
}
/// RecomputeRegs - Recompute the Regs field, and update RegUses.
void LSRUse::RecomputeRegs(size_t LUIdx, RegUseTracker &RegUses) {
// Now that we've filtered out some formulae, recompute the Regs set.
SmallPtrSet<const SCEV *, 4> OldRegs = Regs;
Regs.clear();
for (SmallVectorImpl<Formula>::const_iterator I = Formulae.begin(),
E = Formulae.end(); I != E; ++I) {
const Formula &F = *I;
if (F.ScaledReg) Regs.insert(F.ScaledReg);
Regs.insert(F.BaseRegs.begin(), F.BaseRegs.end());
}
// Update the RegTracker.
for (SmallPtrSet<const SCEV *, 4>::iterator I = OldRegs.begin(),
E = OldRegs.end(); I != E; ++I)
if (!Regs.count(*I))
RegUses.DropRegister(*I, LUIdx);
}
void LSRUse::print(raw_ostream &OS) const {
OS << "LSR Use: Kind=";
switch (Kind) {
case Basic: OS << "Basic"; break;
case Special: OS << "Special"; break;
case ICmpZero: OS << "ICmpZero"; break;
case Address:
OS << "Address of ";
if (AccessTy->isPointerTy())
OS << "pointer"; // the full pointer type could be really verbose
else
OS << *AccessTy;
}
OS << ", Offsets={";
for (SmallVectorImpl<int64_t>::const_iterator I = Offsets.begin(),
E = Offsets.end(); I != E; ++I) {
OS << *I;
if (llvm::next(I) != E)
OS << ',';
}
OS << '}';
if (AllFixupsOutsideLoop)
OS << ", all-fixups-outside-loop";
if (WidestFixupType)
OS << ", widest fixup type: " << *WidestFixupType;
}
void LSRUse::dump() const {
print(errs()); errs() << '\n';
}
/// isLegalUse - Test whether the use described by AM is "legal", meaning it can
/// be completely folded into the user instruction at isel time. This includes
/// address-mode folding and special icmp tricks.
static bool isLegalUse(const TargetLowering::AddrMode &AM,
LSRUse::KindType Kind, const Type *AccessTy,
const TargetLowering *TLI) {
switch (Kind) {
case LSRUse::Address:
// If we have low-level target information, ask the target if it can
// completely fold this address.
if (TLI) return TLI->isLegalAddressingMode(AM, AccessTy);
// Otherwise, just guess that reg+reg addressing is legal.
return !AM.BaseGV && AM.BaseOffs == 0 && AM.Scale <= 1;
case LSRUse::ICmpZero:
// There's not even a target hook for querying whether it would be legal to
// fold a GV into an ICmp.
if (AM.BaseGV)
return false;
// ICmp only has two operands; don't allow more than two non-trivial parts.
if (AM.Scale != 0 && AM.HasBaseReg && AM.BaseOffs != 0)
return false;
// ICmp only supports no scale or a -1 scale, as we can "fold" a -1 scale by
// putting the scaled register in the other operand of the icmp.
if (AM.Scale != 0 && AM.Scale != -1)
return false;
// If we have low-level target information, ask the target if it can fold an
// integer immediate on an icmp.
if (AM.BaseOffs != 0) {
if (TLI) return TLI->isLegalICmpImmediate(-AM.BaseOffs);
return false;
}
return true;
case LSRUse::Basic:
// Only handle single-register values.
return !AM.BaseGV && AM.Scale == 0 && AM.BaseOffs == 0;
case LSRUse::Special:
// Only handle -1 scales, or no scale.
return AM.Scale == 0 || AM.Scale == -1;
}
return false;
}
static bool isLegalUse(TargetLowering::AddrMode AM,
int64_t MinOffset, int64_t MaxOffset,
LSRUse::KindType Kind, const Type *AccessTy,
const TargetLowering *TLI) {
// Check for overflow.
if (((int64_t)((uint64_t)AM.BaseOffs + MinOffset) > AM.BaseOffs) !=
(MinOffset > 0))
return false;
AM.BaseOffs = (uint64_t)AM.BaseOffs + MinOffset;
if (isLegalUse(AM, Kind, AccessTy, TLI)) {
AM.BaseOffs = (uint64_t)AM.BaseOffs - MinOffset;
// Check for overflow.
if (((int64_t)((uint64_t)AM.BaseOffs + MaxOffset) > AM.BaseOffs) !=
(MaxOffset > 0))
return false;
AM.BaseOffs = (uint64_t)AM.BaseOffs + MaxOffset;
return isLegalUse(AM, Kind, AccessTy, TLI);
}
return false;
}
static bool isAlwaysFoldable(int64_t BaseOffs,
GlobalValue *BaseGV,
bool HasBaseReg,
LSRUse::KindType Kind, const Type *AccessTy,
const TargetLowering *TLI) {
// Fast-path: zero is always foldable.
if (BaseOffs == 0 && !BaseGV) return true;
// Conservatively, create an address with an immediate and a
// base and a scale.
TargetLowering::AddrMode AM;
AM.BaseOffs = BaseOffs;
AM.BaseGV = BaseGV;
AM.HasBaseReg = HasBaseReg;
AM.Scale = Kind == LSRUse::ICmpZero ? -1 : 1;
// Canonicalize a scale of 1 to a base register if the formula doesn't
// already have a base register.
if (!AM.HasBaseReg && AM.Scale == 1) {
AM.Scale = 0;
AM.HasBaseReg = true;
}
return isLegalUse(AM, Kind, AccessTy, TLI);
}
static bool isAlwaysFoldable(const SCEV *S,
int64_t MinOffset, int64_t MaxOffset,
bool HasBaseReg,
LSRUse::KindType Kind, const Type *AccessTy,
const TargetLowering *TLI,
ScalarEvolution &SE) {
// Fast-path: zero is always foldable.
if (S->isZero()) return true;
// Conservatively, create an address with an immediate and a
// base and a scale.
int64_t BaseOffs = ExtractImmediate(S, SE);
GlobalValue *BaseGV = ExtractSymbol(S, SE);
// If there's anything else involved, it's not foldable.
if (!S->isZero()) return false;
// Fast-path: zero is always foldable.
if (BaseOffs == 0 && !BaseGV) return true;
// Conservatively, create an address with an immediate and a
// base and a scale.
TargetLowering::AddrMode AM;
AM.BaseOffs = BaseOffs;
AM.BaseGV = BaseGV;
AM.HasBaseReg = HasBaseReg;
AM.Scale = Kind == LSRUse::ICmpZero ? -1 : 1;
return isLegalUse(AM, MinOffset, MaxOffset, Kind, AccessTy, TLI);
}
namespace {
/// UseMapDenseMapInfo - A DenseMapInfo implementation for holding
/// DenseMaps and DenseSets of pairs of const SCEV* and LSRUse::Kind.
struct UseMapDenseMapInfo {
static std::pair<const SCEV *, LSRUse::KindType> getEmptyKey() {
return std::make_pair(reinterpret_cast<const SCEV *>(-1), LSRUse::Basic);
}
static std::pair<const SCEV *, LSRUse::KindType> getTombstoneKey() {
return std::make_pair(reinterpret_cast<const SCEV *>(-2), LSRUse::Basic);
}
static unsigned
getHashValue(const std::pair<const SCEV *, LSRUse::KindType> &V) {
unsigned Result = DenseMapInfo<const SCEV *>::getHashValue(V.first);
Result ^= DenseMapInfo<unsigned>::getHashValue(unsigned(V.second));
return Result;
}
static bool isEqual(const std::pair<const SCEV *, LSRUse::KindType> &LHS,
const std::pair<const SCEV *, LSRUse::KindType> &RHS) {
return LHS == RHS;
}
};
/// LSRInstance - This class holds state for the main loop strength reduction
/// logic.
class LSRInstance {
IVUsers &IU;
ScalarEvolution &SE;
DominatorTree &DT;
LoopInfo &LI;
const TargetLowering *const TLI;
Loop *const L;
bool Changed;
/// IVIncInsertPos - This is the insert position that the current loop's
/// induction variable increment should be placed. In simple loops, this is
/// the latch block's terminator. But in more complicated cases, this is a
/// position which will dominate all the in-loop post-increment users.
Instruction *IVIncInsertPos;
/// Factors - Interesting factors between use strides.
SmallSetVector<int64_t, 8> Factors;
/// Types - Interesting use types, to facilitate truncation reuse.
SmallSetVector<const Type *, 4> Types;
/// Fixups - The list of operands which are to be replaced.
SmallVector<LSRFixup, 16> Fixups;
/// Uses - The list of interesting uses.
SmallVector<LSRUse, 16> Uses;
/// RegUses - Track which uses use which register candidates.
RegUseTracker RegUses;
void OptimizeShadowIV();
bool FindIVUserForCond(ICmpInst *Cond, IVStrideUse *&CondUse);
ICmpInst *OptimizeMax(ICmpInst *Cond, IVStrideUse* &CondUse);
void OptimizeLoopTermCond();
void CollectInterestingTypesAndFactors();
void CollectFixupsAndInitialFormulae();
LSRFixup &getNewFixup() {
Fixups.push_back(LSRFixup());
return Fixups.back();
}
// Support for sharing of LSRUses between LSRFixups.
typedef DenseMap<std::pair<const SCEV *, LSRUse::KindType>,
size_t,
UseMapDenseMapInfo> UseMapTy;
UseMapTy UseMap;
bool reconcileNewOffset(LSRUse &LU, int64_t NewOffset, bool HasBaseReg,
LSRUse::KindType Kind, const Type *AccessTy);
std::pair<size_t, int64_t> getUse(const SCEV *&Expr,
LSRUse::KindType Kind,
const Type *AccessTy);
void DeleteUse(LSRUse &LU, size_t LUIdx);
LSRUse *FindUseWithSimilarFormula(const Formula &F, const LSRUse &OrigLU);
public:
void InsertInitialFormula(const SCEV *S, LSRUse &LU, size_t LUIdx);
void InsertSupplementalFormula(const SCEV *S, LSRUse &LU, size_t LUIdx);
void CountRegisters(const Formula &F, size_t LUIdx);
bool InsertFormula(LSRUse &LU, unsigned LUIdx, const Formula &F);
void CollectLoopInvariantFixupsAndFormulae();
void GenerateReassociations(LSRUse &LU, unsigned LUIdx, Formula Base,
unsigned Depth = 0);
void GenerateCombinations(LSRUse &LU, unsigned LUIdx, Formula Base);
void GenerateSymbolicOffsets(LSRUse &LU, unsigned LUIdx, Formula Base);
void GenerateConstantOffsets(LSRUse &LU, unsigned LUIdx, Formula Base);
void GenerateICmpZeroScales(LSRUse &LU, unsigned LUIdx, Formula Base);
void GenerateScales(LSRUse &LU, unsigned LUIdx, Formula Base);
void GenerateTruncates(LSRUse &LU, unsigned LUIdx, Formula Base);
void GenerateCrossUseConstantOffsets();
void GenerateAllReuseFormulae();
void FilterOutUndesirableDedicatedRegisters();
size_t EstimateSearchSpaceComplexity() const;
void NarrowSearchSpaceByDetectingSupersets();
void NarrowSearchSpaceByCollapsingUnrolledCode();
void NarrowSearchSpaceByRefilteringUndesirableDedicatedRegisters();
void NarrowSearchSpaceByPickingWinnerRegs();
void NarrowSearchSpaceUsingHeuristics();
void SolveRecurse(SmallVectorImpl<const Formula *> &Solution,
Cost &SolutionCost,
SmallVectorImpl<const Formula *> &Workspace,
const Cost &CurCost,
const SmallPtrSet<const SCEV *, 16> &CurRegs,
DenseSet<const SCEV *> &VisitedRegs) const;
void Solve(SmallVectorImpl<const Formula *> &Solution) const;
BasicBlock::iterator
HoistInsertPosition(BasicBlock::iterator IP,
const SmallVectorImpl<Instruction *> &Inputs) const;
BasicBlock::iterator AdjustInsertPositionForExpand(BasicBlock::iterator IP,
const LSRFixup &LF,
const LSRUse &LU) const;
Value *Expand(const LSRFixup &LF,
const Formula &F,
BasicBlock::iterator IP,
SCEVExpander &Rewriter,
SmallVectorImpl<WeakVH> &DeadInsts) const;
void RewriteForPHI(PHINode *PN, const LSRFixup &LF,
const Formula &F,
SCEVExpander &Rewriter,
SmallVectorImpl<WeakVH> &DeadInsts,
Pass *P) const;
void Rewrite(const LSRFixup &LF,
const Formula &F,
SCEVExpander &Rewriter,
SmallVectorImpl<WeakVH> &DeadInsts,
Pass *P) const;
void ImplementSolution(const SmallVectorImpl<const Formula *> &Solution,
Pass *P);
LSRInstance(const TargetLowering *tli, Loop *l, Pass *P);
bool getChanged() const { return Changed; }
void print_factors_and_types(raw_ostream &OS) const;
void print_fixups(raw_ostream &OS) const;
void print_uses(raw_ostream &OS) const;
void print(raw_ostream &OS) const;
void dump() const;
};
}
/// OptimizeShadowIV - If IV is used in a int-to-float cast
/// inside the loop then try to eliminate the cast operation.
void LSRInstance::OptimizeShadowIV() {
const SCEV *BackedgeTakenCount = SE.getBackedgeTakenCount(L);
if (isa<SCEVCouldNotCompute>(BackedgeTakenCount))
return;
for (IVUsers::const_iterator UI = IU.begin(), E = IU.end();
UI != E; /* empty */) {
IVUsers::const_iterator CandidateUI = UI;
++UI;
Instruction *ShadowUse = CandidateUI->getUser();
const Type *DestTy = NULL;
/* If shadow use is a int->float cast then insert a second IV
to eliminate this cast.
for (unsigned i = 0; i < n; ++i)
foo((double)i);
is transformed into
double d = 0.0;
for (unsigned i = 0; i < n; ++i, ++d)
foo(d);
*/
if (UIToFPInst *UCast = dyn_cast<UIToFPInst>(CandidateUI->getUser()))
DestTy = UCast->getDestTy();
else if (SIToFPInst *SCast = dyn_cast<SIToFPInst>(CandidateUI->getUser()))
DestTy = SCast->getDestTy();
if (!DestTy) continue;
if (TLI) {
// If target does not support DestTy natively then do not apply
// this transformation.
EVT DVT = TLI->getValueType(DestTy);
if (!TLI->isTypeLegal(DVT)) continue;
}
PHINode *PH = dyn_cast<PHINode>(ShadowUse->getOperand(0));
if (!PH) continue;
if (PH->getNumIncomingValues() != 2) continue;
const Type *SrcTy = PH->getType();
int Mantissa = DestTy->getFPMantissaWidth();
if (Mantissa == -1) continue;
if ((int)SE.getTypeSizeInBits(SrcTy) > Mantissa)
continue;
unsigned Entry, Latch;
if (PH->getIncomingBlock(0) == L->getLoopPreheader()) {
Entry = 0;
Latch = 1;
} else {
Entry = 1;
Latch = 0;
}
ConstantInt *Init = dyn_cast<ConstantInt>(PH->getIncomingValue(Entry));
if (!Init) continue;
Constant *NewInit = ConstantFP::get(DestTy, Init->getZExtValue());
BinaryOperator *Incr =
dyn_cast<BinaryOperator>(PH->getIncomingValue(Latch));
if (!Incr) continue;
if (Incr->getOpcode() != Instruction::Add
&& Incr->getOpcode() != Instruction::Sub)
continue;
/* Initialize new IV, double d = 0.0 in above example. */
ConstantInt *C = NULL;
if (Incr->getOperand(0) == PH)
C = dyn_cast<ConstantInt>(Incr->getOperand(1));
else if (Incr->getOperand(1) == PH)
C = dyn_cast<ConstantInt>(Incr->getOperand(0));
else
continue;
if (!C) continue;
// Ignore negative constants, as the code below doesn't handle them
// correctly. TODO: Remove this restriction.
if (!C->getValue().isStrictlyPositive()) continue;
/* Add new PHINode. */
PHINode *NewPH = PHINode::Create(DestTy, 2, "IV.S.", PH);
/* create new increment. '++d' in above example. */
Constant *CFP = ConstantFP::get(DestTy, C->getZExtValue());
BinaryOperator *NewIncr =
BinaryOperator::Create(Incr->getOpcode() == Instruction::Add ?
Instruction::FAdd : Instruction::FSub,
NewPH, CFP, "IV.S.next.", Incr);
NewPH->addIncoming(NewInit, PH->getIncomingBlock(Entry));
NewPH->addIncoming(NewIncr, PH->getIncomingBlock(Latch));
/* Remove cast operation */
ShadowUse->replaceAllUsesWith(NewPH);
ShadowUse->eraseFromParent();
Changed = true;
break;
}
}
/// FindIVUserForCond - If Cond has an operand that is an expression of an IV,
/// set the IV user and stride information and return true, otherwise return
/// false.
bool LSRInstance::FindIVUserForCond(ICmpInst *Cond, IVStrideUse *&CondUse) {
for (IVUsers::iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI)
if (UI->getUser() == Cond) {
// NOTE: we could handle setcc instructions with multiple uses here, but
// InstCombine does it as well for simple uses, it's not clear that it
// occurs enough in real life to handle.
CondUse = UI;
return true;
}
return false;
}
/// OptimizeMax - Rewrite the loop's terminating condition if it uses
/// a max computation.
///
/// This is a narrow solution to a specific, but acute, problem. For loops
/// like this:
///
/// i = 0;
/// do {
/// p[i] = 0.0;
/// } while (++i < n);
///
/// the trip count isn't just 'n', because 'n' might not be positive. And
/// unfortunately this can come up even for loops where the user didn't use
/// a C do-while loop. For example, seemingly well-behaved top-test loops
/// will commonly be lowered like this:
//
/// if (n > 0) {
/// i = 0;
/// do {
/// p[i] = 0.0;
/// } while (++i < n);
/// }
///
/// and then it's possible for subsequent optimization to obscure the if
/// test in such a way that indvars can't find it.
///
/// When indvars can't find the if test in loops like this, it creates a
/// max expression, which allows it to give the loop a canonical
/// induction variable:
///
/// i = 0;
/// max = n < 1 ? 1 : n;
/// do {
/// p[i] = 0.0;
/// } while (++i != max);
///
/// Canonical induction variables are necessary because the loop passes
/// are designed around them. The most obvious example of this is the
/// LoopInfo analysis, which doesn't remember trip count values. It
/// expects to be able to rediscover the trip count each time it is
/// needed, and it does this using a simple analysis that only succeeds if
/// the loop has a canonical induction variable.
///
/// However, when it comes time to generate code, the maximum operation
/// can be quite costly, especially if it's inside of an outer loop.
///
/// This function solves this problem by detecting this type of loop and
/// rewriting their conditions from ICMP_NE back to ICMP_SLT, and deleting
/// the instructions for the maximum computation.
///
ICmpInst *LSRInstance::OptimizeMax(ICmpInst *Cond, IVStrideUse* &CondUse) {
// Check that the loop matches the pattern we're looking for.
if (Cond->getPredicate() != CmpInst::ICMP_EQ &&
Cond->getPredicate() != CmpInst::ICMP_NE)
return Cond;
SelectInst *Sel = dyn_cast<SelectInst>(Cond->getOperand(1));
if (!Sel || !Sel->hasOneUse()) return Cond;
const SCEV *BackedgeTakenCount = SE.getBackedgeTakenCount(L);
if (isa<SCEVCouldNotCompute>(BackedgeTakenCount))
return Cond;
const SCEV *One = SE.getConstant(BackedgeTakenCount->getType(), 1);
// Add one to the backedge-taken count to get the trip count.
const SCEV *IterationCount = SE.getAddExpr(One, BackedgeTakenCount);
if (IterationCount != SE.getSCEV(Sel)) return Cond;
// Check for a max calculation that matches the pattern. There's no check
// for ICMP_ULE here because the comparison would be with zero, which
// isn't interesting.
CmpInst::Predicate Pred = ICmpInst::BAD_ICMP_PREDICATE;
const SCEVNAryExpr *Max = 0;
if (const SCEVSMaxExpr *S = dyn_cast<SCEVSMaxExpr>(BackedgeTakenCount)) {
Pred = ICmpInst::ICMP_SLE;
Max = S;
} else if (const SCEVSMaxExpr *S = dyn_cast<SCEVSMaxExpr>(IterationCount)) {
Pred = ICmpInst::ICMP_SLT;
Max = S;
} else if (const SCEVUMaxExpr *U = dyn_cast<SCEVUMaxExpr>(IterationCount)) {
Pred = ICmpInst::ICMP_ULT;
Max = U;
} else {
// No match; bail.
return Cond;
}
// To handle a max with more than two operands, this optimization would
// require additional checking and setup.
if (Max->getNumOperands() != 2)
return Cond;
const SCEV *MaxLHS = Max->getOperand(0);
const SCEV *MaxRHS = Max->getOperand(1);
// ScalarEvolution canonicalizes constants to the left. For < and >, look
// for a comparison with 1. For <= and >=, a comparison with zero.
if (!MaxLHS ||
(ICmpInst::isTrueWhenEqual(Pred) ? !MaxLHS->isZero() : (MaxLHS != One)))
return Cond;
// Check the relevant induction variable for conformance to
// the pattern.
const SCEV *IV = SE.getSCEV(Cond->getOperand(0));
const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(IV);
if (!AR || !AR->isAffine() ||
AR->getStart() != One ||
AR->getStepRecurrence(SE) != One)
return Cond;
assert(AR->getLoop() == L &&
"Loop condition operand is an addrec in a different loop!");
// Check the right operand of the select, and remember it, as it will
// be used in the new comparison instruction.
Value *NewRHS = 0;
if (ICmpInst::isTrueWhenEqual(Pred)) {
// Look for n+1, and grab n.
if (AddOperator *BO = dyn_cast<AddOperator>(Sel->getOperand(1)))
if (isa<ConstantInt>(BO->getOperand(1)) &&
cast<ConstantInt>(BO->getOperand(1))->isOne() &&
SE.getSCEV(BO->getOperand(0)) == MaxRHS)
NewRHS = BO->getOperand(0);
if (AddOperator *BO = dyn_cast<AddOperator>(Sel->getOperand(2)))
if (isa<ConstantInt>(BO->getOperand(1)) &&
cast<ConstantInt>(BO->getOperand(1))->isOne() &&
SE.getSCEV(BO->getOperand(0)) == MaxRHS)
NewRHS = BO->getOperand(0);
if (!NewRHS)
return Cond;
} else if (SE.getSCEV(Sel->getOperand(1)) == MaxRHS)
NewRHS = Sel->getOperand(1);
else if (SE.getSCEV(Sel->getOperand(2)) == MaxRHS)
NewRHS = Sel->getOperand(2);
else if (const SCEVUnknown *SU = dyn_cast<SCEVUnknown>(MaxRHS))
NewRHS = SU->getValue();
else
// Max doesn't match expected pattern.
return Cond;
// Determine the new comparison opcode. It may be signed or unsigned,
// and the original comparison may be either equality or inequality.
if (Cond->getPredicate() == CmpInst::ICMP_EQ)
Pred = CmpInst::getInversePredicate(Pred);
// Ok, everything looks ok to change the condition into an SLT or SGE and
// delete the max calculation.
ICmpInst *NewCond =
new ICmpInst(Cond, Pred, Cond->getOperand(0), NewRHS, "scmp");
// Delete the max calculation instructions.
Cond->replaceAllUsesWith(NewCond);
CondUse->setUser(NewCond);
Instruction *Cmp = cast<Instruction>(Sel->getOperand(0));
Cond->eraseFromParent();
Sel->eraseFromParent();
if (Cmp->use_empty())
Cmp->eraseFromParent();
return NewCond;
}
/// OptimizeLoopTermCond - Change loop terminating condition to use the
/// postinc iv when possible.
void
LSRInstance::OptimizeLoopTermCond() {
SmallPtrSet<Instruction *, 4> PostIncs;
BasicBlock *LatchBlock = L->getLoopLatch();
SmallVector<BasicBlock*, 8> ExitingBlocks;
L->getExitingBlocks(ExitingBlocks);
for (unsigned i = 0, e = ExitingBlocks.size(); i != e; ++i) {
BasicBlock *ExitingBlock = ExitingBlocks[i];
// Get the terminating condition for the loop if possible. If we
// can, we want to change it to use a post-incremented version of its
// induction variable, to allow coalescing the live ranges for the IV into
// one register value.
BranchInst *TermBr = dyn_cast<BranchInst>(ExitingBlock->getTerminator());
if (!TermBr)
continue;
// FIXME: Overly conservative, termination condition could be an 'or' etc..
if (TermBr->isUnconditional() || !isa<ICmpInst>(TermBr->getCondition()))
continue;
// Search IVUsesByStride to find Cond's IVUse if there is one.
IVStrideUse *CondUse = 0;
ICmpInst *Cond = cast<ICmpInst>(TermBr->getCondition());
if (!FindIVUserForCond(Cond, CondUse))
continue;
// If the trip count is computed in terms of a max (due to ScalarEvolution
// being unable to find a sufficient guard, for example), change the loop
// comparison to use SLT or ULT instead of NE.
// One consequence of doing this now is that it disrupts the count-down
// optimization. That's not always a bad thing though, because in such
// cases it may still be worthwhile to avoid a max.
Cond = OptimizeMax(Cond, CondUse);
// If this exiting block dominates the latch block, it may also use
// the post-inc value if it won't be shared with other uses.
// Check for dominance.
if (!DT.dominates(ExitingBlock, LatchBlock))
continue;
// Conservatively avoid trying to use the post-inc value in non-latch
// exits if there may be pre-inc users in intervening blocks.
if (LatchBlock != ExitingBlock)
for (IVUsers::const_iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI)
// Test if the use is reachable from the exiting block. This dominator
// query is a conservative approximation of reachability.
if (&*UI != CondUse &&
!DT.properlyDominates(UI->getUser()->getParent(), ExitingBlock)) {
// Conservatively assume there may be reuse if the quotient of their
// strides could be a legal scale.
const SCEV *A = IU.getStride(*CondUse, L);
const SCEV *B = IU.getStride(*UI, L);
if (!A || !B) continue;
if (SE.getTypeSizeInBits(A->getType()) !=
SE.getTypeSizeInBits(B->getType())) {
if (SE.getTypeSizeInBits(A->getType()) >
SE.getTypeSizeInBits(B->getType()))
B = SE.getSignExtendExpr(B, A->getType());
else
A = SE.getSignExtendExpr(A, B->getType());
}
if (const SCEVConstant *D =
dyn_cast_or_null<SCEVConstant>(getExactSDiv(B, A, SE))) {
const ConstantInt *C = D->getValue();
// Stride of one or negative one can have reuse with non-addresses.
if (C->isOne() || C->isAllOnesValue())
goto decline_post_inc;
// Avoid weird situations.
if (C->getValue().getMinSignedBits() >= 64 ||
C->getValue().isMinSignedValue())
goto decline_post_inc;
// Without TLI, assume that any stride might be valid, and so any
// use might be shared.
if (!TLI)
goto decline_post_inc;
// Check for possible scaled-address reuse.
const Type *AccessTy = getAccessType(UI->getUser());
TargetLowering::AddrMode AM;
AM.Scale = C->getSExtValue();
if (TLI->isLegalAddressingMode(AM, AccessTy))
goto decline_post_inc;
AM.Scale = -AM.Scale;
if (TLI->isLegalAddressingMode(AM, AccessTy))
goto decline_post_inc;
}
}
DEBUG(dbgs() << " Change loop exiting icmp to use postinc iv: "
<< *Cond << '\n');
// It's possible for the setcc instruction to be anywhere in the loop, and
// possible for it to have multiple users. If it is not immediately before
// the exiting block branch, move it.
if (&*++BasicBlock::iterator(Cond) != TermBr) {
if (Cond->hasOneUse()) {
Cond->moveBefore(TermBr);
} else {
// Clone the terminating condition and insert into the loopend.
ICmpInst *OldCond = Cond;
Cond = cast<ICmpInst>(Cond->clone());
Cond->setName(L->getHeader()->getName() + ".termcond");
ExitingBlock->getInstList().insert(TermBr, Cond);
// Clone the IVUse, as the old use still exists!
CondUse = &IU.AddUser(Cond, CondUse->getOperandValToReplace());
TermBr->replaceUsesOfWith(OldCond, Cond);
}
}
// If we get to here, we know that we can transform the setcc instruction to
// use the post-incremented version of the IV, allowing us to coalesce the
// live ranges for the IV correctly.
CondUse->transformToPostInc(L);
Changed = true;
PostIncs.insert(Cond);
decline_post_inc:;
}
// Determine an insertion point for the loop induction variable increment. It
// must dominate all the post-inc comparisons we just set up, and it must
// dominate the loop latch edge.
IVIncInsertPos = L->getLoopLatch()->getTerminator();
for (SmallPtrSet<Instruction *, 4>::const_iterator I = PostIncs.begin(),
E = PostIncs.end(); I != E; ++I) {
BasicBlock *BB =
DT.findNearestCommonDominator(IVIncInsertPos->getParent(),
(*I)->getParent());
if (BB == (*I)->getParent())
IVIncInsertPos = *I;
else if (BB != IVIncInsertPos->getParent())
IVIncInsertPos = BB->getTerminator();
}
}
/// reconcileNewOffset - Determine if the given use can accommodate a fixup
/// at the given offset and other details. If so, update the use and
/// return true.
bool
LSRInstance::reconcileNewOffset(LSRUse &LU, int64_t NewOffset, bool HasBaseReg,
LSRUse::KindType Kind, const Type *AccessTy) {
int64_t NewMinOffset = LU.MinOffset;
int64_t NewMaxOffset = LU.MaxOffset;
const Type *NewAccessTy = AccessTy;
// Check for a mismatched kind. It's tempting to collapse mismatched kinds to
// something conservative, however this can pessimize in the case that one of
// the uses will have all its uses outside the loop, for example.
if (LU.Kind != Kind)
return false;
// Conservatively assume HasBaseReg is true for now.
if (NewOffset < LU.MinOffset) {
if (!isAlwaysFoldable(LU.MaxOffset - NewOffset, 0, HasBaseReg,
Kind, AccessTy, TLI))
return false;
NewMinOffset = NewOffset;
} else if (NewOffset > LU.MaxOffset) {
if (!isAlwaysFoldable(NewOffset - LU.MinOffset, 0, HasBaseReg,
Kind, AccessTy, TLI))
return false;
NewMaxOffset = NewOffset;
}
// Check for a mismatched access type, and fall back conservatively as needed.
// TODO: Be less conservative when the type is similar and can use the same
// addressing modes.
if (Kind == LSRUse::Address && AccessTy != LU.AccessTy)
NewAccessTy = Type::getVoidTy(AccessTy->getContext());
// Update the use.
LU.MinOffset = NewMinOffset;
LU.MaxOffset = NewMaxOffset;
LU.AccessTy = NewAccessTy;
if (NewOffset != LU.Offsets.back())
LU.Offsets.push_back(NewOffset);
return true;
}
/// getUse - Return an LSRUse index and an offset value for a fixup which
/// needs the given expression, with the given kind and optional access type.
/// Either reuse an existing use or create a new one, as needed.
std::pair<size_t, int64_t>
LSRInstance::getUse(const SCEV *&Expr,
LSRUse::KindType Kind, const Type *AccessTy) {
const SCEV *Copy = Expr;
int64_t Offset = ExtractImmediate(Expr, SE);
// Basic uses can't accept any offset, for example.
if (!isAlwaysFoldable(Offset, 0, /*HasBaseReg=*/true, Kind, AccessTy, TLI)) {
Expr = Copy;
Offset = 0;
}
std::pair<UseMapTy::iterator, bool> P =
UseMap.insert(std::make_pair(std::make_pair(Expr, Kind), 0));
if (!P.second) {
// A use already existed with this base.
size_t LUIdx = P.first->second;
LSRUse &LU = Uses[LUIdx];
if (reconcileNewOffset(LU, Offset, /*HasBaseReg=*/true, Kind, AccessTy))
// Reuse this use.
return std::make_pair(LUIdx, Offset);
}
// Create a new use.
size_t LUIdx = Uses.size();
P.first->second = LUIdx;
Uses.push_back(LSRUse(Kind, AccessTy));
LSRUse &LU = Uses[LUIdx];
// We don't need to track redundant offsets, but we don't need to go out
// of our way here to avoid them.
if (LU.Offsets.empty() || Offset != LU.Offsets.back())
LU.Offsets.push_back(Offset);
LU.MinOffset = Offset;
LU.MaxOffset = Offset;
return std::make_pair(LUIdx, Offset);
}
/// DeleteUse - Delete the given use from the Uses list.
void LSRInstance::DeleteUse(LSRUse &LU, size_t LUIdx) {
if (&LU != &Uses.back())
std::swap(LU, Uses.back());
Uses.pop_back();
// Update RegUses.
RegUses.SwapAndDropUse(LUIdx, Uses.size());
}
/// FindUseWithFormula - Look for a use distinct from OrigLU which is has
/// a formula that has the same registers as the given formula.
LSRUse *
LSRInstance::FindUseWithSimilarFormula(const Formula &OrigF,
const LSRUse &OrigLU) {
// Search all uses for the formula. This could be more clever.
for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) {
LSRUse &LU = Uses[LUIdx];
// Check whether this use is close enough to OrigLU, to see whether it's
// worthwhile looking through its formulae.
// Ignore ICmpZero uses because they may contain formulae generated by
// GenerateICmpZeroScales, in which case adding fixup offsets may
// be invalid.
if (&LU != &OrigLU &&
LU.Kind != LSRUse::ICmpZero &&
LU.Kind == OrigLU.Kind && OrigLU.AccessTy == LU.AccessTy &&
LU.WidestFixupType == OrigLU.WidestFixupType &&
LU.HasFormulaWithSameRegs(OrigF)) {
// Scan through this use's formulae.
for (SmallVectorImpl<Formula>::const_iterator I = LU.Formulae.begin(),
E = LU.Formulae.end(); I != E; ++I) {
const Formula &F = *I;
// Check to see if this formula has the same registers and symbols
// as OrigF.
if (F.BaseRegs == OrigF.BaseRegs &&
F.ScaledReg == OrigF.ScaledReg &&
F.AM.BaseGV == OrigF.AM.BaseGV &&
F.AM.Scale == OrigF.AM.Scale &&
F.UnfoldedOffset == OrigF.UnfoldedOffset) {
if (F.AM.BaseOffs == 0)
return &LU;
// This is the formula where all the registers and symbols matched;
// there aren't going to be any others. Since we declined it, we
// can skip the rest of the formulae and procede to the next LSRUse.
break;
}
}
}
}
// Nothing looked good.
return 0;
}
void LSRInstance::CollectInterestingTypesAndFactors() {
SmallSetVector<const SCEV *, 4> Strides;
// Collect interesting types and strides.
SmallVector<const SCEV *, 4> Worklist;
for (IVUsers::const_iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI) {
const SCEV *Expr = IU.getExpr(*UI);
// Collect interesting types.
Types.insert(SE.getEffectiveSCEVType(Expr->getType()));
// Add strides for mentioned loops.
Worklist.push_back(Expr);
do {
const SCEV *S = Worklist.pop_back_val();
if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S)) {
Strides.insert(AR->getStepRecurrence(SE));
Worklist.push_back(AR->getStart());
} else if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(S)) {
Worklist.append(Add->op_begin(), Add->op_end());
}
} while (!Worklist.empty());
}
// Compute interesting factors from the set of interesting strides.
for (SmallSetVector<const SCEV *, 4>::const_iterator
I = Strides.begin(), E = Strides.end(); I != E; ++I)
for (SmallSetVector<const SCEV *, 4>::const_iterator NewStrideIter =
llvm::next(I); NewStrideIter != E; ++NewStrideIter) {
const SCEV *OldStride = *I;
const SCEV *NewStride = *NewStrideIter;
if (SE.getTypeSizeInBits(OldStride->getType()) !=
SE.getTypeSizeInBits(NewStride->getType())) {
if (SE.getTypeSizeInBits(OldStride->getType()) >
SE.getTypeSizeInBits(NewStride->getType()))
NewStride = SE.getSignExtendExpr(NewStride, OldStride->getType());
else
OldStride = SE.getSignExtendExpr(OldStride, NewStride->getType());
}
if (const SCEVConstant *Factor =
dyn_cast_or_null<SCEVConstant>(getExactSDiv(NewStride, OldStride,
SE, true))) {
if (Factor->getValue()->getValue().getMinSignedBits() <= 64)
Factors.insert(Factor->getValue()->getValue().getSExtValue());
} else if (const SCEVConstant *Factor =
dyn_cast_or_null<SCEVConstant>(getExactSDiv(OldStride,
NewStride,
SE, true))) {
if (Factor->getValue()->getValue().getMinSignedBits() <= 64)
Factors.insert(Factor->getValue()->getValue().getSExtValue());
}
}
// If all uses use the same type, don't bother looking for truncation-based
// reuse.
if (Types.size() == 1)
Types.clear();
DEBUG(print_factors_and_types(dbgs()));
}
void LSRInstance::CollectFixupsAndInitialFormulae() {
for (IVUsers::const_iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI) {
// Record the uses.
LSRFixup &LF = getNewFixup();
LF.UserInst = UI->getUser();
LF.OperandValToReplace = UI->getOperandValToReplace();
LF.PostIncLoops = UI->getPostIncLoops();
LSRUse::KindType Kind = LSRUse::Basic;
const Type *AccessTy = 0;
if (isAddressUse(LF.UserInst, LF.OperandValToReplace)) {
Kind = LSRUse::Address;
AccessTy = getAccessType(LF.UserInst);
}
const SCEV *S = IU.getExpr(*UI);
// Equality (== and !=) ICmps are special. We can rewrite (i == N) as
// (N - i == 0), and this allows (N - i) to be the expression that we work
// with rather than just N or i, so we can consider the register
// requirements for both N and i at the same time. Limiting this code to
// equality icmps is not a problem because all interesting loops use
// equality icmps, thanks to IndVarSimplify.
if (ICmpInst *CI = dyn_cast<ICmpInst>(LF.UserInst))
if (CI->isEquality()) {
// Swap the operands if needed to put the OperandValToReplace on the
// left, for consistency.
Value *NV = CI->getOperand(1);
if (NV == LF.OperandValToReplace) {
CI->setOperand(1, CI->getOperand(0));
CI->setOperand(0, NV);
NV = CI->getOperand(1);
Changed = true;
}
// x == y --> x - y == 0
const SCEV *N = SE.getSCEV(NV);
if (SE.isLoopInvariant(N, L)) {
// S is normalized, so normalize N before folding it into S
// to keep the result normalized.
N = TransformForPostIncUse(Normalize, N, CI, 0,
LF.PostIncLoops, SE, DT);
Kind = LSRUse::ICmpZero;
S = SE.getMinusSCEV(N, S);
}
// -1 and the negations of all interesting strides (except the negation
// of -1) are now also interesting.
for (size_t i = 0, e = Factors.size(); i != e; ++i)
if (Factors[i] != -1)
Factors.insert(-(uint64_t)Factors[i]);
Factors.insert(-1);
}
// Set up the initial formula for this use.
std::pair<size_t, int64_t> P = getUse(S, Kind, AccessTy);
LF.LUIdx = P.first;
LF.Offset = P.second;
LSRUse &LU = Uses[LF.LUIdx];
LU.AllFixupsOutsideLoop &= LF.isUseFullyOutsideLoop(L);
if (!LU.WidestFixupType ||
SE.getTypeSizeInBits(LU.WidestFixupType) <
SE.getTypeSizeInBits(LF.OperandValToReplace->getType()))
LU.WidestFixupType = LF.OperandValToReplace->getType();
// If this is the first use of this LSRUse, give it a formula.
if (LU.Formulae.empty()) {
InsertInitialFormula(S, LU, LF.LUIdx);
CountRegisters(LU.Formulae.back(), LF.LUIdx);
}
}
DEBUG(print_fixups(dbgs()));
}
/// InsertInitialFormula - Insert a formula for the given expression into
/// the given use, separating out loop-variant portions from loop-invariant
/// and loop-computable portions.
void
LSRInstance::InsertInitialFormula(const SCEV *S, LSRUse &LU, size_t LUIdx) {
Formula F;
F.InitialMatch(S, L, SE);
bool Inserted = InsertFormula(LU, LUIdx, F);
assert(Inserted && "Initial formula already exists!"); (void)Inserted;
}
/// InsertSupplementalFormula - Insert a simple single-register formula for
/// the given expression into the given use.
void
LSRInstance::InsertSupplementalFormula(const SCEV *S,
LSRUse &LU, size_t LUIdx) {
Formula F;
F.BaseRegs.push_back(S);
F.AM.HasBaseReg = true;
bool Inserted = InsertFormula(LU, LUIdx, F);
assert(Inserted && "Supplemental formula already exists!"); (void)Inserted;
}
/// CountRegisters - Note which registers are used by the given formula,
/// updating RegUses.
void LSRInstance::CountRegisters(const Formula &F, size_t LUIdx) {
if (F.ScaledReg)
RegUses.CountRegister(F.ScaledReg, LUIdx);
for (SmallVectorImpl<const SCEV *>::const_iterator I = F.BaseRegs.begin(),
E = F.BaseRegs.end(); I != E; ++I)
RegUses.CountRegister(*I, LUIdx);
}
/// InsertFormula - If the given formula has not yet been inserted, add it to
/// the list, and return true. Return false otherwise.
bool LSRInstance::InsertFormula(LSRUse &LU, unsigned LUIdx, const Formula &F) {
if (!LU.InsertFormula(F))
return false;
CountRegisters(F, LUIdx);
return true;
}
/// CollectLoopInvariantFixupsAndFormulae - Check for other uses of
/// loop-invariant values which we're tracking. These other uses will pin these
/// values in registers, making them less profitable for elimination.
/// TODO: This currently misses non-constant addrec step registers.
/// TODO: Should this give more weight to users inside the loop?
void
LSRInstance::CollectLoopInvariantFixupsAndFormulae() {
SmallVector<const SCEV *, 8> Worklist(RegUses.begin(), RegUses.end());
SmallPtrSet<const SCEV *, 8> Inserted;
while (!Worklist.empty()) {
const SCEV *S = Worklist.pop_back_val();
if (const SCEVNAryExpr *N = dyn_cast<SCEVNAryExpr>(S))
Worklist.append(N->op_begin(), N->op_end());
else if (const SCEVCastExpr *C = dyn_cast<SCEVCastExpr>(S))
Worklist.push_back(C->getOperand());
else if (const SCEVUDivExpr *D = dyn_cast<SCEVUDivExpr>(S)) {
Worklist.push_back(D->getLHS());
Worklist.push_back(D->getRHS());
} else if (const SCEVUnknown *U = dyn_cast<SCEVUnknown>(S)) {
if (!Inserted.insert(U)) continue;
const Value *V = U->getValue();
if (const Instruction *Inst = dyn_cast<Instruction>(V)) {
// Look for instructions defined outside the loop.
if (L->contains(Inst)) continue;
} else if (isa<UndefValue>(V))
// Undef doesn't have a live range, so it doesn't matter.
continue;
for (Value::const_use_iterator UI = V->use_begin(), UE = V->use_end();
UI != UE; ++UI) {
const Instruction *UserInst = dyn_cast<Instruction>(*UI);
// Ignore non-instructions.
if (!UserInst)
continue;
// Ignore instructions in other functions (as can happen with
// Constants).
if (UserInst->getParent()->getParent() != L->getHeader()->getParent())
continue;
// Ignore instructions not dominated by the loop.
const BasicBlock *UseBB = !isa<PHINode>(UserInst) ?
UserInst->getParent() :
cast<PHINode>(UserInst)->getIncomingBlock(
PHINode::getIncomingValueNumForOperand(UI.getOperandNo()));
if (!DT.dominates(L->getHeader(), UseBB))
continue;
// Ignore uses which are part of other SCEV expressions, to avoid
// analyzing them multiple times.
if (SE.isSCEVable(UserInst->getType())) {
const SCEV *UserS = SE.getSCEV(const_cast<Instruction *>(UserInst));
// If the user is a no-op, look through to its uses.
if (!isa<SCEVUnknown>(UserS))
continue;
if (UserS == U) {
Worklist.push_back(
SE.getUnknown(const_cast<Instruction *>(UserInst)));
continue;
}
}
// Ignore icmp instructions which are already being analyzed.
if (const ICmpInst *ICI = dyn_cast<ICmpInst>(UserInst)) {
unsigned OtherIdx = !UI.getOperandNo();
Value *OtherOp = const_cast<Value *>(ICI->getOperand(OtherIdx));
if (SE.hasComputableLoopEvolution(SE.getSCEV(OtherOp), L))
continue;
}
LSRFixup &LF = getNewFixup();
LF.UserInst = const_cast<Instruction *>(UserInst);
LF.OperandValToReplace = UI.getUse();
std::pair<size_t, int64_t> P = getUse(S, LSRUse::Basic, 0);
LF.LUIdx = P.first;
LF.Offset = P.second;
LSRUse &LU = Uses[LF.LUIdx];
LU.AllFixupsOutsideLoop &= LF.isUseFullyOutsideLoop(L);
if (!LU.WidestFixupType ||
SE.getTypeSizeInBits(LU.WidestFixupType) <
SE.getTypeSizeInBits(LF.OperandValToReplace->getType()))
LU.WidestFixupType = LF.OperandValToReplace->getType();
InsertSupplementalFormula(U, LU, LF.LUIdx);
CountRegisters(LU.Formulae.back(), Uses.size() - 1);
break;
}
}
}
}
/// CollectSubexprs - Split S into subexpressions which can be pulled out into
/// separate registers. If C is non-null, multiply each subexpression by C.
static void CollectSubexprs(const SCEV *S, const SCEVConstant *C,
SmallVectorImpl<const SCEV *> &Ops,
const Loop *L,
ScalarEvolution &SE) {
if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(S)) {
// Break out add operands.
for (SCEVAddExpr::op_iterator I = Add->op_begin(), E = Add->op_end();
I != E; ++I)
CollectSubexprs(*I, C, Ops, L, SE);
return;
} else if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S)) {
// Split a non-zero base out of an addrec.
if (!AR->getStart()->isZero()) {
CollectSubexprs(SE.getAddRecExpr(SE.getConstant(AR->getType(), 0),
AR->getStepRecurrence(SE),
AR->getLoop(),
//FIXME: AR->getNoWrapFlags(SCEV::FlagNW)
SCEV::FlagAnyWrap),
C, Ops, L, SE);
CollectSubexprs(AR->getStart(), C, Ops, L, SE);
return;
}
} else if (const SCEVMulExpr *Mul = dyn_cast<SCEVMulExpr>(S)) {
// Break (C * (a + b + c)) into C*a + C*b + C*c.
if (Mul->getNumOperands() == 2)
if (const SCEVConstant *Op0 =
dyn_cast<SCEVConstant>(Mul->getOperand(0))) {
CollectSubexprs(Mul->getOperand(1),
C ? cast<SCEVConstant>(SE.getMulExpr(C, Op0)) : Op0,
Ops, L, SE);
return;
}
}
// Otherwise use the value itself, optionally with a scale applied.
Ops.push_back(C ? SE.getMulExpr(C, S) : S);
}
/// GenerateReassociations - Split out subexpressions from adds and the bases of
/// addrecs.
void LSRInstance::GenerateReassociations(LSRUse &LU, unsigned LUIdx,
Formula Base,
unsigned Depth) {
// Arbitrarily cap recursion to protect compile time.
if (Depth >= 3) return;
for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i) {
const SCEV *BaseReg = Base.BaseRegs[i];
SmallVector<const SCEV *, 8> AddOps;
CollectSubexprs(BaseReg, 0, AddOps, L, SE);
if (AddOps.size() == 1) continue;
for (SmallVectorImpl<const SCEV *>::const_iterator J = AddOps.begin(),
JE = AddOps.end(); J != JE; ++J) {
// Loop-variant "unknown" values are uninteresting; we won't be able to
// do anything meaningful with them.
if (isa<SCEVUnknown>(*J) && !SE.isLoopInvariant(*J, L))
continue;
// Don't pull a constant into a register if the constant could be folded
// into an immediate field.
if (isAlwaysFoldable(*J, LU.MinOffset, LU.MaxOffset,
Base.getNumRegs() > 1,
LU.Kind, LU.AccessTy, TLI, SE))
continue;
// Collect all operands except *J.
SmallVector<const SCEV *, 8> InnerAddOps
(((const SmallVector<const SCEV *, 8> &)AddOps).begin(), J);
InnerAddOps.append
(llvm::next(J), ((const SmallVector<const SCEV *, 8> &)AddOps).end());
// Don't leave just a constant behind in a register if the constant could
// be folded into an immediate field.
if (InnerAddOps.size() == 1 &&
isAlwaysFoldable(InnerAddOps[0], LU.MinOffset, LU.MaxOffset,
Base.getNumRegs() > 1,
LU.Kind, LU.AccessTy, TLI, SE))
continue;
const SCEV *InnerSum = SE.getAddExpr(InnerAddOps);
if (InnerSum->isZero())
continue;
Formula F = Base;
// Add the remaining pieces of the add back into the new formula.
const SCEVConstant *InnerSumSC = dyn_cast<SCEVConstant>(InnerSum);
if (TLI && InnerSumSC &&
SE.getTypeSizeInBits(InnerSumSC->getType()) <= 64 &&
TLI->isLegalAddImmediate((uint64_t)F.UnfoldedOffset +
InnerSumSC->getValue()->getZExtValue())) {
F.UnfoldedOffset = (uint64_t)F.UnfoldedOffset +
InnerSumSC->getValue()->getZExtValue();
F.BaseRegs.erase(F.BaseRegs.begin() + i);
} else
F.BaseRegs[i] = InnerSum;
// Add J as its own register, or an unfolded immediate.
const SCEVConstant *SC = dyn_cast<SCEVConstant>(*J);
if (TLI && SC && SE.getTypeSizeInBits(SC->getType()) <= 64 &&
TLI->isLegalAddImmediate((uint64_t)F.UnfoldedOffset +
SC->getValue()->getZExtValue()))
F.UnfoldedOffset = (uint64_t)F.UnfoldedOffset +
SC->getValue()->getZExtValue();
else
F.BaseRegs.push_back(*J);
if (InsertFormula(LU, LUIdx, F))
// If that formula hadn't been seen before, recurse to find more like
// it.
GenerateReassociations(LU, LUIdx, LU.Formulae.back(), Depth+1);
}
}
}
/// GenerateCombinations - Generate a formula consisting of all of the
/// loop-dominating registers added into a single register.
void LSRInstance::GenerateCombinations(LSRUse &LU, unsigned LUIdx,
Formula Base) {
// This method is only interesting on a plurality of registers.
if (Base.BaseRegs.size() <= 1) return;
Formula F = Base;
F.BaseRegs.clear();
SmallVector<const SCEV *, 4> Ops;
for (SmallVectorImpl<const SCEV *>::const_iterator
I = Base.BaseRegs.begin(), E = Base.BaseRegs.end(); I != E; ++I) {
const SCEV *BaseReg = *I;
if (SE.properlyDominates(BaseReg, L->getHeader()) &&
!SE.hasComputableLoopEvolution(BaseReg, L))
Ops.push_back(BaseReg);
else
F.BaseRegs.push_back(BaseReg);
}
if (Ops.size() > 1) {
const SCEV *Sum = SE.getAddExpr(Ops);
// TODO: If Sum is zero, it probably means ScalarEvolution missed an
// opportunity to fold something. For now, just ignore such cases
// rather than proceed with zero in a register.
if (!Sum->isZero()) {
F.BaseRegs.push_back(Sum);
(void)InsertFormula(LU, LUIdx, F);
}
}
}
/// GenerateSymbolicOffsets - Generate reuse formulae using symbolic offsets.
void LSRInstance::GenerateSymbolicOffsets(LSRUse &LU, unsigned LUIdx,
Formula Base) {
// We can't add a symbolic offset if the address already contains one.
if (Base.AM.BaseGV) return;
for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i) {
const SCEV *G = Base.BaseRegs[i];
GlobalValue *GV = ExtractSymbol(G, SE);
if (G->isZero() || !GV)
continue;
Formula F = Base;
F.AM.BaseGV = GV;
if (!isLegalUse(F.AM, LU.MinOffset, LU.MaxOffset,
LU.Kind, LU.AccessTy, TLI))
continue;
F.BaseRegs[i] = G;
(void)InsertFormula(LU, LUIdx, F);
}
}
/// GenerateConstantOffsets - Generate reuse formulae using symbolic offsets.
void LSRInstance::GenerateConstantOffsets(LSRUse &LU, unsigned LUIdx,
Formula Base) {
// TODO: For now, just add the min and max offset, because it usually isn't
// worthwhile looking at everything inbetween.
SmallVector<int64_t, 2> Worklist;
Worklist.push_back(LU.MinOffset);
if (LU.MaxOffset != LU.MinOffset)
Worklist.push_back(LU.MaxOffset);
for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i) {
const SCEV *G = Base.BaseRegs[i];
for (SmallVectorImpl<int64_t>::const_iterator I = Worklist.begin(),
E = Worklist.end(); I != E; ++I) {
Formula F = Base;
F.AM.BaseOffs = (uint64_t)Base.AM.BaseOffs - *I;
if (isLegalUse(F.AM, LU.MinOffset - *I, LU.MaxOffset - *I,
LU.Kind, LU.AccessTy, TLI)) {
// Add the offset to the base register.
const SCEV *NewG = SE.getAddExpr(SE.getConstant(G->getType(), *I), G);
// If it cancelled out, drop the base register, otherwise update it.
if (NewG->isZero()) {
std::swap(F.BaseRegs[i], F.BaseRegs.back());
F.BaseRegs.pop_back();
} else
F.BaseRegs[i] = NewG;
(void)InsertFormula(LU, LUIdx, F);
}
}
int64_t Imm = ExtractImmediate(G, SE);
if (G->isZero() || Imm == 0)
continue;
Formula F = Base;
F.AM.BaseOffs = (uint64_t)F.AM.BaseOffs + Imm;
if (!isLegalUse(F.AM, LU.MinOffset, LU.MaxOffset,
LU.Kind, LU.AccessTy, TLI))
continue;
F.BaseRegs[i] = G;
(void)InsertFormula(LU, LUIdx, F);
}
}
/// GenerateICmpZeroScales - For ICmpZero, check to see if we can scale up
/// the comparison. For example, x == y -> x*c == y*c.
void LSRInstance::GenerateICmpZeroScales(LSRUse &LU, unsigned LUIdx,
Formula Base) {
if (LU.Kind != LSRUse::ICmpZero) return;
// Determine the integer type for the base formula.
const Type *IntTy = Base.getType();
if (!IntTy) return;
if (SE.getTypeSizeInBits(IntTy) > 64) return;
// Don't do this if there is more than one offset.
if (LU.MinOffset != LU.MaxOffset) return;
assert(!Base.AM.BaseGV && "ICmpZero use is not legal!");
// Check each interesting stride.
for (SmallSetVector<int64_t, 8>::const_iterator
I = Factors.begin(), E = Factors.end(); I != E; ++I) {
int64_t Factor = *I;
// Check that the multiplication doesn't overflow.
if (Base.AM.BaseOffs == INT64_MIN && Factor == -1)
continue;
int64_t NewBaseOffs = (uint64_t)Base.AM.BaseOffs * Factor;
if (NewBaseOffs / Factor != Base.AM.BaseOffs)
continue;
// Check that multiplying with the use offset doesn't overflow.
int64_t Offset = LU.MinOffset;
if (Offset == INT64_MIN && Factor == -1)
continue;
Offset = (uint64_t)Offset * Factor;
if (Offset / Factor != LU.MinOffset)
continue;
Formula F = Base;
F.AM.BaseOffs = NewBaseOffs;
// Check that this scale is legal.
if (!isLegalUse(F.AM, Offset, Offset, LU.Kind, LU.AccessTy, TLI))
continue;
// Compensate for the use having MinOffset built into it.
F.AM.BaseOffs = (uint64_t)F.AM.BaseOffs + Offset - LU.MinOffset;
const SCEV *FactorS = SE.getConstant(IntTy, Factor);
// Check that multiplying with each base register doesn't overflow.
for (size_t i = 0, e = F.BaseRegs.size(); i != e; ++i) {
F.BaseRegs[i] = SE.getMulExpr(F.BaseRegs[i], FactorS);
if (getExactSDiv(F.BaseRegs[i], FactorS, SE) != Base.BaseRegs[i])
goto next;
}
// Check that multiplying with the scaled register doesn't overflow.
if (F.ScaledReg) {
F.ScaledReg = SE.getMulExpr(F.ScaledReg, FactorS);
if (getExactSDiv(F.ScaledReg, FactorS, SE) != Base.ScaledReg)
continue;
}
// Check that multiplying with the unfolded offset doesn't overflow.
if (F.UnfoldedOffset != 0) {
if (F.UnfoldedOffset == INT64_MIN && Factor == -1)
continue;
F.UnfoldedOffset = (uint64_t)F.UnfoldedOffset * Factor;
if (F.UnfoldedOffset / Factor != Base.UnfoldedOffset)
continue;
}
// If we make it here and it's legal, add it.
(void)InsertFormula(LU, LUIdx, F);
next:;
}
}
/// GenerateScales - Generate stride factor reuse formulae by making use of
/// scaled-offset address modes, for example.
void LSRInstance::GenerateScales(LSRUse &LU, unsigned LUIdx, Formula Base) {
// Determine the integer type for the base formula.
const Type *IntTy = Base.getType();
if (!IntTy) return;
// If this Formula already has a scaled register, we can't add another one.
if (Base.AM.Scale != 0) return;
// Check each interesting stride.
for (SmallSetVector<int64_t, 8>::const_iterator
I = Factors.begin(), E = Factors.end(); I != E; ++I) {
int64_t Factor = *I;
Base.AM.Scale = Factor;
Base.AM.HasBaseReg = Base.BaseRegs.size() > 1;
// Check whether this scale is going to be legal.
if (!isLegalUse(Base.AM, LU.MinOffset, LU.MaxOffset,
LU.Kind, LU.AccessTy, TLI)) {
// As a special-case, handle special out-of-loop Basic users specially.
// TODO: Reconsider this special case.
if (LU.Kind == LSRUse::Basic &&
isLegalUse(Base.AM, LU.MinOffset, LU.MaxOffset,
LSRUse::Special, LU.AccessTy, TLI) &&
LU.AllFixupsOutsideLoop)
LU.Kind = LSRUse::Special;
else
continue;
}
// For an ICmpZero, negating a solitary base register won't lead to
// new solutions.
if (LU.Kind == LSRUse::ICmpZero &&
!Base.AM.HasBaseReg && Base.AM.BaseOffs == 0 && !Base.AM.BaseGV)
continue;
// For each addrec base reg, apply the scale, if possible.
for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i)
if (const SCEVAddRecExpr *AR =
dyn_cast<SCEVAddRecExpr>(Base.BaseRegs[i])) {
const SCEV *FactorS = SE.getConstant(IntTy, Factor);
if (FactorS->isZero())
continue;
// Divide out the factor, ignoring high bits, since we'll be
// scaling the value back up in the end.
if (const SCEV *Quotient = getExactSDiv(AR, FactorS, SE, true)) {
// TODO: This could be optimized to avoid all the copying.
Formula F = Base;
F.ScaledReg = Quotient;
F.DeleteBaseReg(F.BaseRegs[i]);
(void)InsertFormula(LU, LUIdx, F);
}
}
}
}
/// GenerateTruncates - Generate reuse formulae from different IV types.
void LSRInstance::GenerateTruncates(LSRUse &LU, unsigned LUIdx, Formula Base) {
// This requires TargetLowering to tell us which truncates are free.
if (!TLI) return;
// Don't bother truncating symbolic values.
if (Base.AM.BaseGV) return;
// Determine the integer type for the base formula.
const Type *DstTy = Base.getType();
if (!DstTy) return;
DstTy = SE.getEffectiveSCEVType(DstTy);
for (SmallSetVector<const Type *, 4>::const_iterator
I = Types.begin(), E = Types.end(); I != E; ++I) {
const Type *SrcTy = *I;
if (SrcTy != DstTy && TLI->isTruncateFree(SrcTy, DstTy)) {
Formula F = Base;
if (F.ScaledReg) F.ScaledReg = SE.getAnyExtendExpr(F.ScaledReg, *I);
for (SmallVectorImpl<const SCEV *>::iterator J = F.BaseRegs.begin(),
JE = F.BaseRegs.end(); J != JE; ++J)
*J = SE.getAnyExtendExpr(*J, SrcTy);
// TODO: This assumes we've done basic processing on all uses and
// have an idea what the register usage is.
if (!F.hasRegsUsedByUsesOtherThan(LUIdx, RegUses))
continue;
(void)InsertFormula(LU, LUIdx, F);
}
}
}
namespace {
/// WorkItem - Helper class for GenerateCrossUseConstantOffsets. It's used to
/// defer modifications so that the search phase doesn't have to worry about
/// the data structures moving underneath it.
struct WorkItem {
size_t LUIdx;
int64_t Imm;
const SCEV *OrigReg;
WorkItem(size_t LI, int64_t I, const SCEV *R)
: LUIdx(LI), Imm(I), OrigReg(R) {}
void print(raw_ostream &OS) const;
void dump() const;
};
}
void WorkItem::print(raw_ostream &OS) const {
OS << "in formulae referencing " << *OrigReg << " in use " << LUIdx
<< " , add offset " << Imm;
}
void WorkItem::dump() const {
print(errs()); errs() << '\n';
}
/// GenerateCrossUseConstantOffsets - Look for registers which are a constant
/// distance apart and try to form reuse opportunities between them.
void LSRInstance::GenerateCrossUseConstantOffsets() {
// Group the registers by their value without any added constant offset.
typedef std::map<int64_t, const SCEV *> ImmMapTy;
typedef DenseMap<const SCEV *, ImmMapTy> RegMapTy;
RegMapTy Map;
DenseMap<const SCEV *, SmallBitVector> UsedByIndicesMap;
SmallVector<const SCEV *, 8> Sequence;
for (RegUseTracker::const_iterator I = RegUses.begin(), E = RegUses.end();
I != E; ++I) {
const SCEV *Reg = *I;
int64_t Imm = ExtractImmediate(Reg, SE);
std::pair<RegMapTy::iterator, bool> Pair =
Map.insert(std::make_pair(Reg, ImmMapTy()));
if (Pair.second)
Sequence.push_back(Reg);
Pair.first->second.insert(std::make_pair(Imm, *I));
UsedByIndicesMap[Reg] |= RegUses.getUsedByIndices(*I);
}
// Now examine each set of registers with the same base value. Build up
// a list of work to do and do the work in a separate step so that we're
// not adding formulae and register counts while we're searching.
SmallVector<WorkItem, 32> WorkItems;
SmallSet<std::pair<size_t, int64_t>, 32> UniqueItems;
for (SmallVectorImpl<const SCEV *>::const_iterator I = Sequence.begin(),
E = Sequence.end(); I != E; ++I) {
const SCEV *Reg = *I;
const ImmMapTy &Imms = Map.find(Reg)->second;
// It's not worthwhile looking for reuse if there's only one offset.
if (Imms.size() == 1)
continue;
DEBUG(dbgs() << "Generating cross-use offsets for " << *Reg << ':';
for (ImmMapTy::const_iterator J = Imms.begin(), JE = Imms.end();
J != JE; ++J)
dbgs() << ' ' << J->first;
dbgs() << '\n');
// Examine each offset.
for (ImmMapTy::const_iterator J = Imms.begin(), JE = Imms.end();
J != JE; ++J) {
const SCEV *OrigReg = J->second;
int64_t JImm = J->first;
const SmallBitVector &UsedByIndices = RegUses.getUsedByIndices(OrigReg);
if (!isa<SCEVConstant>(OrigReg) &&
UsedByIndicesMap[Reg].count() == 1) {
DEBUG(dbgs() << "Skipping cross-use reuse for " << *OrigReg << '\n');
continue;
}
// Conservatively examine offsets between this orig reg a few selected
// other orig regs.
ImmMapTy::const_iterator OtherImms[] = {
Imms.begin(), prior(Imms.end()),
Imms.lower_bound((Imms.begin()->first + prior(Imms.end())->first) / 2)
};
for (size_t i = 0, e = array_lengthof(OtherImms); i != e; ++i) {
ImmMapTy::const_iterator M = OtherImms[i];
if (M == J || M == JE) continue;
// Compute the difference between the two.
int64_t Imm = (uint64_t)JImm - M->first;
for (int LUIdx = UsedByIndices.find_first(); LUIdx != -1;
LUIdx = UsedByIndices.find_next(LUIdx))
// Make a memo of this use, offset, and register tuple.
if (UniqueItems.insert(std::make_pair(LUIdx, Imm)))
WorkItems.push_back(WorkItem(LUIdx, Imm, OrigReg));
}
}
}
Map.clear();
Sequence.clear();
UsedByIndicesMap.clear();
UniqueItems.clear();
// Now iterate through the worklist and add new formulae.
for (SmallVectorImpl<WorkItem>::const_iterator I = WorkItems.begin(),
E = WorkItems.end(); I != E; ++I) {
const WorkItem &WI = *I;
size_t LUIdx = WI.LUIdx;
LSRUse &LU = Uses[LUIdx];
int64_t Imm = WI.Imm;
const SCEV *OrigReg = WI.OrigReg;
const Type *IntTy = SE.getEffectiveSCEVType(OrigReg->getType());
const SCEV *NegImmS = SE.getSCEV(ConstantInt::get(IntTy, -(uint64_t)Imm));
unsigned BitWidth = SE.getTypeSizeInBits(IntTy);
// TODO: Use a more targeted data structure.
for (size_t L = 0, LE = LU.Formulae.size(); L != LE; ++L) {
const Formula &F = LU.Formulae[L];
// Use the immediate in the scaled register.
if (F.ScaledReg == OrigReg) {
int64_t Offs = (uint64_t)F.AM.BaseOffs +
Imm * (uint64_t)F.AM.Scale;
// Don't create 50 + reg(-50).
if (F.referencesReg(SE.getSCEV(
ConstantInt::get(IntTy, -(uint64_t)Offs))))
continue;
Formula NewF = F;
NewF.AM.BaseOffs = Offs;
if (!isLegalUse(NewF.AM, LU.MinOffset, LU.MaxOffset,
LU.Kind, LU.AccessTy, TLI))
continue;
NewF.ScaledReg = SE.getAddExpr(NegImmS, NewF.ScaledReg);
// If the new scale is a constant in a register, and adding the constant
// value to the immediate would produce a value closer to zero than the
// immediate itself, then the formula isn't worthwhile.
if (const SCEVConstant *C = dyn_cast<SCEVConstant>(NewF.ScaledReg))
if (C->getValue()->getValue().isNegative() !=
(NewF.AM.BaseOffs < 0) &&
(C->getValue()->getValue().abs() * APInt(BitWidth, F.AM.Scale))
.ule(abs64(NewF.AM.BaseOffs)))
continue;
// OK, looks good.
(void)InsertFormula(LU, LUIdx, NewF);
} else {
// Use the immediate in a base register.
for (size_t N = 0, NE = F.BaseRegs.size(); N != NE; ++N) {
const SCEV *BaseReg = F.BaseRegs[N];
if (BaseReg != OrigReg)
continue;
Formula NewF = F;
NewF.AM.BaseOffs = (uint64_t)NewF.AM.BaseOffs + Imm;
if (!isLegalUse(NewF.AM, LU.MinOffset, LU.MaxOffset,
LU.Kind, LU.AccessTy, TLI)) {
if (!TLI ||
!TLI->isLegalAddImmediate((uint64_t)NewF.UnfoldedOffset + Imm))
continue;
NewF = F;
NewF.UnfoldedOffset = (uint64_t)NewF.UnfoldedOffset + Imm;
}
NewF.BaseRegs[N] = SE.getAddExpr(NegImmS, BaseReg);
// If the new formula has a constant in a register, and adding the
// constant value to the immediate would produce a value closer to
// zero than the immediate itself, then the formula isn't worthwhile.
for (SmallVectorImpl<const SCEV *>::const_iterator
J = NewF.BaseRegs.begin(), JE = NewF.BaseRegs.end();
J != JE; ++J)
if (const SCEVConstant *C = dyn_cast<SCEVConstant>(*J))
if ((C->getValue()->getValue() + NewF.AM.BaseOffs).abs().slt(
abs64(NewF.AM.BaseOffs)) &&
(C->getValue()->getValue() +
NewF.AM.BaseOffs).countTrailingZeros() >=
CountTrailingZeros_64(NewF.AM.BaseOffs))
goto skip_formula;
// Ok, looks good.
(void)InsertFormula(LU, LUIdx, NewF);
break;
skip_formula:;
}
}
}
}
}
/// GenerateAllReuseFormulae - Generate formulae for each use.
void
LSRInstance::GenerateAllReuseFormulae() {
// This is split into multiple loops so that hasRegsUsedByUsesOtherThan
// queries are more precise.
for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) {
LSRUse &LU = Uses[LUIdx];
for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i)
GenerateReassociations(LU, LUIdx, LU.Formulae[i]);
for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i)
GenerateCombinations(LU, LUIdx, LU.Formulae[i]);
}
for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) {
LSRUse &LU = Uses[LUIdx];
for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i)
GenerateSymbolicOffsets(LU, LUIdx, LU.Formulae[i]);
for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i)
GenerateConstantOffsets(LU, LUIdx, LU.Formulae[i]);
for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i)
GenerateICmpZeroScales(LU, LUIdx, LU.Formulae[i]);
for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i)
GenerateScales(LU, LUIdx, LU.Formulae[i]);
}
for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) {
LSRUse &LU = Uses[LUIdx];
for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i)
GenerateTruncates(LU, LUIdx, LU.Formulae[i]);
}
GenerateCrossUseConstantOffsets();
DEBUG(dbgs() << "\n"
"After generating reuse formulae:\n";
print_uses(dbgs()));
}
/// If there are multiple formulae with the same set of registers used
/// by other uses, pick the best one and delete the others.
void LSRInstance::FilterOutUndesirableDedicatedRegisters() {
DenseSet<const SCEV *> VisitedRegs;
SmallPtrSet<const SCEV *, 16> Regs;
#ifndef NDEBUG
bool ChangedFormulae = false;
#endif
// Collect the best formula for each unique set of shared registers. This
// is reset for each use.
typedef DenseMap<SmallVector<const SCEV *, 2>, size_t, UniquifierDenseMapInfo>
BestFormulaeTy;
BestFormulaeTy BestFormulae;
for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) {
LSRUse &LU = Uses[LUIdx];
DEBUG(dbgs() << "Filtering for use "; LU.print(dbgs()); dbgs() << '\n');
bool Any = false;
for (size_t FIdx = 0, NumForms = LU.Formulae.size();
FIdx != NumForms; ++FIdx) {
Formula &F = LU.Formulae[FIdx];
SmallVector<const SCEV *, 2> Key;
for (SmallVectorImpl<const SCEV *>::const_iterator J = F.BaseRegs.begin(),
JE = F.BaseRegs.end(); J != JE; ++J) {
const SCEV *Reg = *J;
if (RegUses.isRegUsedByUsesOtherThan(Reg, LUIdx))
Key.push_back(Reg);
}
if (F.ScaledReg &&
RegUses.isRegUsedByUsesOtherThan(F.ScaledReg, LUIdx))
Key.push_back(F.ScaledReg);
// Unstable sort by host order ok, because this is only used for
// uniquifying.
std::sort(Key.begin(), Key.end());
std::pair<BestFormulaeTy::const_iterator, bool> P =
BestFormulae.insert(std::make_pair(Key, FIdx));
if (!P.second) {
Formula &Best = LU.Formulae[P.first->second];
Cost CostF;
CostF.RateFormula(F, Regs, VisitedRegs, L, LU.Offsets, SE, DT);
Regs.clear();
Cost CostBest;
CostBest.RateFormula(Best, Regs, VisitedRegs, L, LU.Offsets, SE, DT);
Regs.clear();
if (CostF < CostBest)
std::swap(F, Best);
DEBUG(dbgs() << " Filtering out formula "; F.print(dbgs());
dbgs() << "\n"
" in favor of formula "; Best.print(dbgs());
dbgs() << '\n');
#ifndef NDEBUG
ChangedFormulae = true;
#endif
LU.DeleteFormula(F);
--FIdx;
--NumForms;
Any = true;
continue;
}
}
// Now that we've filtered out some formulae, recompute the Regs set.
if (Any)
LU.RecomputeRegs(LUIdx, RegUses);
// Reset this to prepare for the next use.
BestFormulae.clear();
}
DEBUG(if (ChangedFormulae) {
dbgs() << "\n"
"After filtering out undesirable candidates:\n";
print_uses(dbgs());
});
}
// This is a rough guess that seems to work fairly well.
static const size_t ComplexityLimit = UINT16_MAX;
/// EstimateSearchSpaceComplexity - Estimate the worst-case number of
/// solutions the solver might have to consider. It almost never considers
/// this many solutions because it prune the search space, but the pruning
/// isn't always sufficient.
size_t LSRInstance::EstimateSearchSpaceComplexity() const {
size_t Power = 1;
for (SmallVectorImpl<LSRUse>::const_iterator I = Uses.begin(),
E = Uses.end(); I != E; ++I) {
size_t FSize = I->Formulae.size();
if (FSize >= ComplexityLimit) {
Power = ComplexityLimit;
break;
}
Power *= FSize;
if (Power >= ComplexityLimit)
break;
}
return Power;
}
/// NarrowSearchSpaceByDetectingSupersets - When one formula uses a superset
/// of the registers of another formula, it won't help reduce register
/// pressure (though it may not necessarily hurt register pressure); remove
/// it to simplify the system.
void LSRInstance::NarrowSearchSpaceByDetectingSupersets() {
if (EstimateSearchSpaceComplexity() >= ComplexityLimit) {
DEBUG(dbgs() << "The search space is too complex.\n");
DEBUG(dbgs() << "Narrowing the search space by eliminating formulae "
"which use a superset of registers used by other "
"formulae.\n");
for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) {
LSRUse &LU = Uses[LUIdx];
bool Any = false;
for (size_t i = 0, e = LU.Formulae.size(); i != e; ++i) {
Formula &F = LU.Formulae[i];
// Look for a formula with a constant or GV in a register. If the use
// also has a formula with that same value in an immediate field,
// delete the one that uses a register.
for (SmallVectorImpl<const SCEV *>::const_iterator
I = F.BaseRegs.begin(), E = F.BaseRegs.end(); I != E; ++I) {
if (const SCEVConstant *C = dyn_cast<SCEVConstant>(*I)) {
Formula NewF = F;
NewF.AM.BaseOffs += C->getValue()->getSExtValue();
NewF.BaseRegs.erase(NewF.BaseRegs.begin() +
(I - F.BaseRegs.begin()));
if (LU.HasFormulaWithSameRegs(NewF)) {
DEBUG(dbgs() << " Deleting "; F.print(dbgs()); dbgs() << '\n');
LU.DeleteFormula(F);
--i;
--e;
Any = true;
break;
}
} else if (const SCEVUnknown *U = dyn_cast<SCEVUnknown>(*I)) {
if (GlobalValue *GV = dyn_cast<GlobalValue>(U->getValue()))
if (!F.AM.BaseGV) {
Formula NewF = F;
NewF.AM.BaseGV = GV;
NewF.BaseRegs.erase(NewF.BaseRegs.begin() +
(I - F.BaseRegs.begin()));
if (LU.HasFormulaWithSameRegs(NewF)) {
DEBUG(dbgs() << " Deleting "; F.print(dbgs());
dbgs() << '\n');
LU.DeleteFormula(F);
--i;
--e;
Any = true;
break;
}
}
}
}
}
if (Any)
LU.RecomputeRegs(LUIdx, RegUses);
}
DEBUG(dbgs() << "After pre-selection:\n";
print_uses(dbgs()));
}
}
/// NarrowSearchSpaceByCollapsingUnrolledCode - When there are many registers
/// for expressions like A, A+1, A+2, etc., allocate a single register for
/// them.
void LSRInstance::NarrowSearchSpaceByCollapsingUnrolledCode() {
if (EstimateSearchSpaceComplexity() >= ComplexityLimit) {
DEBUG(dbgs() << "The search space is too complex.\n");
DEBUG(dbgs() << "Narrowing the search space by assuming that uses "
"separated by a constant offset will use the same "
"registers.\n");
// This is especially useful for unrolled loops.
for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) {
LSRUse &LU = Uses[LUIdx];
for (SmallVectorImpl<Formula>::const_iterator I = LU.Formulae.begin(),
E = LU.Formulae.end(); I != E; ++I) {
const Formula &F = *I;
if (F.AM.BaseOffs != 0 && F.AM.Scale == 0) {
if (LSRUse *LUThatHas = FindUseWithSimilarFormula(F, LU)) {
if (reconcileNewOffset(*LUThatHas, F.AM.BaseOffs,
/*HasBaseReg=*/false,
LU.Kind, LU.AccessTy)) {
DEBUG(dbgs() << " Deleting use "; LU.print(dbgs());
dbgs() << '\n');
LUThatHas->AllFixupsOutsideLoop &= LU.AllFixupsOutsideLoop;
// Update the relocs to reference the new use.
for (SmallVectorImpl<LSRFixup>::iterator I = Fixups.begin(),
E = Fixups.end(); I != E; ++I) {
LSRFixup &Fixup = *I;
if (Fixup.LUIdx == LUIdx) {
Fixup.LUIdx = LUThatHas - &Uses.front();
Fixup.Offset += F.AM.BaseOffs;
// Add the new offset to LUThatHas' offset list.
if (LUThatHas->Offsets.back() != Fixup.Offset) {
LUThatHas->Offsets.push_back(Fixup.Offset);
if (Fixup.Offset > LUThatHas->MaxOffset)
LUThatHas->MaxOffset = Fixup.Offset;
if (Fixup.Offset < LUThatHas->MinOffset)
LUThatHas->MinOffset = Fixup.Offset;
}
DEBUG(dbgs() << "New fixup has offset "
<< Fixup.Offset << '\n');
}
if (Fixup.LUIdx == NumUses-1)
Fixup.LUIdx = LUIdx;
}
// Delete formulae from the new use which are no longer legal.
bool Any = false;
for (size_t i = 0, e = LUThatHas->Formulae.size(); i != e; ++i) {
Formula &F = LUThatHas->Formulae[i];
if (!isLegalUse(F.AM,
LUThatHas->MinOffset, LUThatHas->MaxOffset,
LUThatHas->Kind, LUThatHas->AccessTy, TLI)) {
DEBUG(dbgs() << " Deleting "; F.print(dbgs());
dbgs() << '\n');
LUThatHas->DeleteFormula(F);
--i;
--e;
Any = true;
}
}
if (Any)
LUThatHas->RecomputeRegs(LUThatHas - &Uses.front(), RegUses);
// Delete the old use.
DeleteUse(LU, LUIdx);
--LUIdx;
--NumUses;
break;
}
}
}
}
}
DEBUG(dbgs() << "After pre-selection:\n";
print_uses(dbgs()));
}
}
/// NarrowSearchSpaceByRefilteringUndesirableDedicatedRegisters - Call
/// FilterOutUndesirableDedicatedRegisters again, if necessary, now that
/// we've done more filtering, as it may be able to find more formulae to
/// eliminate.
void LSRInstance::NarrowSearchSpaceByRefilteringUndesirableDedicatedRegisters(){
if (EstimateSearchSpaceComplexity() >= ComplexityLimit) {
DEBUG(dbgs() << "The search space is too complex.\n");
DEBUG(dbgs() << "Narrowing the search space by re-filtering out "
"undesirable dedicated registers.\n");
FilterOutUndesirableDedicatedRegisters();
DEBUG(dbgs() << "After pre-selection:\n";
print_uses(dbgs()));
}
}
/// NarrowSearchSpaceByPickingWinnerRegs - Pick a register which seems likely
/// to be profitable, and then in any use which has any reference to that
/// register, delete all formulae which do not reference that register.
void LSRInstance::NarrowSearchSpaceByPickingWinnerRegs() {
// With all other options exhausted, loop until the system is simple
// enough to handle.
SmallPtrSet<const SCEV *, 4> Taken;
while (EstimateSearchSpaceComplexity() >= ComplexityLimit) {
// Ok, we have too many of formulae on our hands to conveniently handle.
// Use a rough heuristic to thin out the list.
DEBUG(dbgs() << "The search space is too complex.\n");
// Pick the register which is used by the most LSRUses, which is likely
// to be a good reuse register candidate.
const SCEV *Best = 0;
unsigned BestNum = 0;
for (RegUseTracker::const_iterator I = RegUses.begin(), E = RegUses.end();
I != E; ++I) {
const SCEV *Reg = *I;
if (Taken.count(Reg))
continue;
if (!Best)
Best = Reg;
else {
unsigned Count = RegUses.getUsedByIndices(Reg).count();
if (Count > BestNum) {
Best = Reg;
BestNum = Count;
}
}
}
DEBUG(dbgs() << "Narrowing the search space by assuming " << *Best
<< " will yield profitable reuse.\n");
Taken.insert(Best);
// In any use with formulae which references this register, delete formulae
// which don't reference it.
for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) {
LSRUse &LU = Uses[LUIdx];
if (!LU.Regs.count(Best)) continue;
bool Any = false;
for (size_t i = 0, e = LU.Formulae.size(); i != e; ++i) {
Formula &F = LU.Formulae[i];
if (!F.referencesReg(Best)) {
DEBUG(dbgs() << " Deleting "; F.print(dbgs()); dbgs() << '\n');
LU.DeleteFormula(F);
--e;
--i;
Any = true;
assert(e != 0 && "Use has no formulae left! Is Regs inconsistent?");
continue;
}
}
if (Any)
LU.RecomputeRegs(LUIdx, RegUses);
}
DEBUG(dbgs() << "After pre-selection:\n";
print_uses(dbgs()));
}
}
/// NarrowSearchSpaceUsingHeuristics - If there are an extraordinary number of
/// formulae to choose from, use some rough heuristics to prune down the number
/// of formulae. This keeps the main solver from taking an extraordinary amount
/// of time in some worst-case scenarios.
void LSRInstance::NarrowSearchSpaceUsingHeuristics() {
NarrowSearchSpaceByDetectingSupersets();
NarrowSearchSpaceByCollapsingUnrolledCode();
NarrowSearchSpaceByRefilteringUndesirableDedicatedRegisters();
NarrowSearchSpaceByPickingWinnerRegs();
}
/// SolveRecurse - This is the recursive solver.
void LSRInstance::SolveRecurse(SmallVectorImpl<const Formula *> &Solution,
Cost &SolutionCost,
SmallVectorImpl<const Formula *> &Workspace,
const Cost &CurCost,
const SmallPtrSet<const SCEV *, 16> &CurRegs,
DenseSet<const SCEV *> &VisitedRegs) const {
// Some ideas:
// - prune more:
// - use more aggressive filtering
// - sort the formula so that the most profitable solutions are found first
// - sort the uses too
// - search faster:
// - don't compute a cost, and then compare. compare while computing a cost
// and bail early.
// - track register sets with SmallBitVector
const LSRUse &LU = Uses[Workspace.size()];
// If this use references any register that's already a part of the
// in-progress solution, consider it a requirement that a formula must
// reference that register in order to be considered. This prunes out
// unprofitable searching.
SmallSetVector<const SCEV *, 4> ReqRegs;
for (SmallPtrSet<const SCEV *, 16>::const_iterator I = CurRegs.begin(),
E = CurRegs.end(); I != E; ++I)
if (LU.Regs.count(*I))
ReqRegs.insert(*I);
bool AnySatisfiedReqRegs = false;
SmallPtrSet<const SCEV *, 16> NewRegs;
Cost NewCost;
retry:
for (SmallVectorImpl<Formula>::const_iterator I = LU.Formulae.begin(),
E = LU.Formulae.end(); I != E; ++I) {
const Formula &F = *I;
// Ignore formulae which do not use any of the required registers.
for (SmallSetVector<const SCEV *, 4>::const_iterator J = ReqRegs.begin(),
JE = ReqRegs.end(); J != JE; ++J) {
const SCEV *Reg = *J;
if ((!F.ScaledReg || F.ScaledReg != Reg) &&
std::find(F.BaseRegs.begin(), F.BaseRegs.end(), Reg) ==
F.BaseRegs.end())
goto skip;
}
AnySatisfiedReqRegs = true;
// Evaluate the cost of the current formula. If it's already worse than
// the current best, prune the search at that point.
NewCost = CurCost;
NewRegs = CurRegs;
NewCost.RateFormula(F, NewRegs, VisitedRegs, L, LU.Offsets, SE, DT);
if (NewCost < SolutionCost) {
Workspace.push_back(&F);
if (Workspace.size() != Uses.size()) {
SolveRecurse(Solution, SolutionCost, Workspace, NewCost,
NewRegs, VisitedRegs);
if (F.getNumRegs() == 1 && Workspace.size() == 1)
VisitedRegs.insert(F.ScaledReg ? F.ScaledReg : F.BaseRegs[0]);
} else {
DEBUG(dbgs() << "New best at "; NewCost.print(dbgs());
dbgs() << ". Regs:";
for (SmallPtrSet<const SCEV *, 16>::const_iterator
I = NewRegs.begin(), E = NewRegs.end(); I != E; ++I)
dbgs() << ' ' << **I;
dbgs() << '\n');
SolutionCost = NewCost;
Solution = Workspace;
}
Workspace.pop_back();
}
skip:;
}
// If none of the formulae had all of the required registers, relax the
// constraint so that we don't exclude all formulae.
if (!AnySatisfiedReqRegs) {
assert(!ReqRegs.empty() && "Solver failed even without required registers");
ReqRegs.clear();
goto retry;
}
}
/// Solve - Choose one formula from each use. Return the results in the given
/// Solution vector.
void LSRInstance::Solve(SmallVectorImpl<const Formula *> &Solution) const {
SmallVector<const Formula *, 8> Workspace;
Cost SolutionCost;
SolutionCost.Loose();
Cost CurCost;
SmallPtrSet<const SCEV *, 16> CurRegs;
DenseSet<const SCEV *> VisitedRegs;
Workspace.reserve(Uses.size());
// SolveRecurse does all the work.
SolveRecurse(Solution, SolutionCost, Workspace, CurCost,
CurRegs, VisitedRegs);
// Ok, we've now made all our decisions.
DEBUG(dbgs() << "\n"
"The chosen solution requires "; SolutionCost.print(dbgs());
dbgs() << ":\n";
for (size_t i = 0, e = Uses.size(); i != e; ++i) {
dbgs() << " ";
Uses[i].print(dbgs());
dbgs() << "\n"
" ";
Solution[i]->print(dbgs());
dbgs() << '\n';
});
assert(Solution.size() == Uses.size() && "Malformed solution!");
}
/// HoistInsertPosition - Helper for AdjustInsertPositionForExpand. Climb up
/// the dominator tree far as we can go while still being dominated by the
/// input positions. This helps canonicalize the insert position, which
/// encourages sharing.
BasicBlock::iterator
LSRInstance::HoistInsertPosition(BasicBlock::iterator IP,
const SmallVectorImpl<Instruction *> &Inputs)
const {
for (;;) {
const Loop *IPLoop = LI.getLoopFor(IP->getParent());
unsigned IPLoopDepth = IPLoop ? IPLoop->getLoopDepth() : 0;
BasicBlock *IDom;
for (DomTreeNode *Rung = DT.getNode(IP->getParent()); ; ) {
if (!Rung) return IP;
Rung = Rung->getIDom();
if (!Rung) return IP;
IDom = Rung->getBlock();
// Don't climb into a loop though.
const Loop *IDomLoop = LI.getLoopFor(IDom);
unsigned IDomDepth = IDomLoop ? IDomLoop->getLoopDepth() : 0;
if (IDomDepth <= IPLoopDepth &&
(IDomDepth != IPLoopDepth || IDomLoop == IPLoop))
break;
}
bool AllDominate = true;
Instruction *BetterPos = 0;
Instruction *Tentative = IDom->getTerminator();
for (SmallVectorImpl<Instruction *>::const_iterator I = Inputs.begin(),
E = Inputs.end(); I != E; ++I) {
Instruction *Inst = *I;
if (Inst == Tentative || !DT.dominates(Inst, Tentative)) {
AllDominate = false;
break;
}
// Attempt to find an insert position in the middle of the block,
// instead of at the end, so that it can be used for other expansions.
if (IDom == Inst->getParent() &&
(!BetterPos || DT.dominates(BetterPos, Inst)))
BetterPos = llvm::next(BasicBlock::iterator(Inst));
}
if (!AllDominate)
break;
if (BetterPos)
IP = BetterPos;
else
IP = Tentative;
}
return IP;
}
/// AdjustInsertPositionForExpand - Determine an input position which will be
/// dominated by the operands and which will dominate the result.
BasicBlock::iterator
LSRInstance::AdjustInsertPositionForExpand(BasicBlock::iterator IP,
const LSRFixup &LF,
const LSRUse &LU) const {
// Collect some instructions which must be dominated by the
// expanding replacement. These must be dominated by any operands that
// will be required in the expansion.
SmallVector<Instruction *, 4> Inputs;
if (Instruction *I = dyn_cast<Instruction>(LF.OperandValToReplace))
Inputs.push_back(I);
if (LU.Kind == LSRUse::ICmpZero)
if (Instruction *I =
dyn_cast<Instruction>(cast<ICmpInst>(LF.UserInst)->getOperand(1)))
Inputs.push_back(I);
if (LF.PostIncLoops.count(L)) {
if (LF.isUseFullyOutsideLoop(L))
Inputs.push_back(L->getLoopLatch()->getTerminator());
else
Inputs.push_back(IVIncInsertPos);
}
// The expansion must also be dominated by the increment positions of any
// loops it for which it is using post-inc mode.
for (PostIncLoopSet::const_iterator I = LF.PostIncLoops.begin(),
E = LF.PostIncLoops.end(); I != E; ++I) {
const Loop *PIL = *I;
if (PIL == L) continue;
// Be dominated by the loop exit.
SmallVector<BasicBlock *, 4> ExitingBlocks;
PIL->getExitingBlocks(ExitingBlocks);
if (!ExitingBlocks.empty()) {
BasicBlock *BB = ExitingBlocks[0];
for (unsigned i = 1, e = ExitingBlocks.size(); i != e; ++i)
BB = DT.findNearestCommonDominator(BB, ExitingBlocks[i]);
Inputs.push_back(BB->getTerminator());
}
}
// Then, climb up the immediate dominator tree as far as we can go while
// still being dominated by the input positions.
IP = HoistInsertPosition(IP, Inputs);
// Don't insert instructions before PHI nodes.
while (isa<PHINode>(IP)) ++IP;
// Ignore debug intrinsics.
while (isa<DbgInfoIntrinsic>(IP)) ++IP;
return IP;
}
/// Expand - Emit instructions for the leading candidate expression for this
/// LSRUse (this is called "expanding").
Value *LSRInstance::Expand(const LSRFixup &LF,
const Formula &F,
BasicBlock::iterator IP,
SCEVExpander &Rewriter,
SmallVectorImpl<WeakVH> &DeadInsts) const {
const LSRUse &LU = Uses[LF.LUIdx];
// Determine an input position which will be dominated by the operands and
// which will dominate the result.
IP = AdjustInsertPositionForExpand(IP, LF, LU);
// Inform the Rewriter if we have a post-increment use, so that it can
// perform an advantageous expansion.
Rewriter.setPostInc(LF.PostIncLoops);
// 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)));
}
}
// Expand the unfolded offset portion.
int64_t UnfoldedOffset = F.UnfoldedOffset;
if (UnfoldedOffset != 0) {
// Just add the immediate values.
Ops.push_back(SE.getUnknown(ConstantInt::getSigned(IntTy,
UnfoldedOffset)));
}
// 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();
// 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;
}
/// 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())) {
Loop *PNLoop = LI.getLoopFor(PN->getParent());
if (!PNLoop || PN->getParent() != PNLoop->getHeader()) {
// 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();
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);
}
/// ImplementSolution - Rewrite all the fixup locations with new values,
/// following the chosen solution.
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, "lsr");
Rewriter.disableCanonicalMode();
Rewriter.setIVIncInsertPos(L, IVIncInsertPos);
// Expand the new value definitions and update the users.
for (SmallVectorImpl<LSRFixup>::const_iterator I = Fixups.begin(),
E = Fixups.end(); I != E; ++I) {
const LSRFixup &Fixup = *I;
Rewrite(Fixup, *Solution[Fixup.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) {
// 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");
// First, perform some low-level loop optimizations.
OptimizeShadowIV();
OptimizeLoopTermCond();
// Start collecting data and preparing for the solver.
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();
FilterOutUndesirableDedicatedRegisters();
NarrowSearchSpaceUsingHeuristics();
SmallVector<const Formula *, 8> Solution;
Solve(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) {
dbgs() << " ";
I->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';
}
}
}
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;
INITIALIZE_PASS_BEGIN(LoopStrengthReduce, "loop-reduce",
"Loop Strength Reduction", false, false)
INITIALIZE_PASS_DEPENDENCY(DominatorTree)
INITIALIZE_PASS_DEPENDENCY(ScalarEvolution)
INITIALIZE_PASS_DEPENDENCY(IVUsers)
INITIALIZE_PASS_DEPENDENCY(LoopInfo)
INITIALIZE_PASS_DEPENDENCY(LoopSimplify)
INITIALIZE_PASS_END(LoopStrengthReduce, "loop-reduce",
"Loop Strength Reduction", false, false)
Pass *llvm::createLoopStrengthReducePass(const TargetLowering *TLI) {
return new LoopStrengthReduce(TLI);
}
LoopStrengthReduce::LoopStrengthReduce(const TargetLowering *tli)
: LoopPass(ID), TLI(tli) {
initializeLoopStrengthReducePass(*PassRegistry::getPassRegistry());
}
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.addRequired<LoopInfo>();
AU.addPreserved<LoopInfo>();
AU.addRequiredID(LoopSimplifyID);
AU.addRequired<DominatorTree>();
AU.addPreserved<DominatorTree>();
AU.addRequired<ScalarEvolution>();
AU.addPreserved<ScalarEvolution>();
// Requiring LoopSimplify a second time here prevents IVUsers from running
// twice, since LoopSimplify was invalidated by running ScalarEvolution.
AU.addRequiredID(LoopSimplifyID);
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());
return Changed;
}
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