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//===- LoopVectorizationPlanner.h - Planner for LoopVectorization ---------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
///
/// \file
/// This file provides a LoopVectorizationPlanner class.
/// InnerLoopVectorizer vectorizes loops which contain only one basic
/// LoopVectorizationPlanner - drives the vectorization process after having
/// passed Legality checks.
/// The planner builds and optimizes the Vectorization Plans which record the
/// decisions how to vectorize the given loop. In particular, represent the
/// control-flow of the vectorized version, the replication of instructions that
/// are to be scalarized, and interleave access groups.
///
/// Also provides a VPlan-based builder utility analogous to IRBuilder.
/// It provides an instruction-level API for generating VPInstructions while
/// abstracting away the Recipe manipulation details.
//===----------------------------------------------------------------------===//
#ifndef LLVM_TRANSFORMS_VECTORIZE_LOOPVECTORIZATIONPLANNER_H
#define LLVM_TRANSFORMS_VECTORIZE_LOOPVECTORIZATIONPLANNER_H
#include "VPlan.h"
#include "llvm/ADT/SmallSet.h"
#include "llvm/Support/InstructionCost.h"
namespace {
class GeneratedRTChecks;
}
namespace llvm {
class LoopInfo;
class DominatorTree;
class LoopVectorizationLegality;
class LoopVectorizationCostModel;
class PredicatedScalarEvolution;
class LoopVectorizeHints;
class LoopVersioning;
class OptimizationRemarkEmitter;
class TargetTransformInfo;
class TargetLibraryInfo;
class VPRecipeBuilder;
struct VFRange;
extern cl::opt<bool> EnableVPlanNativePath;
extern cl::opt<unsigned> ForceTargetInstructionCost;
/// VPlan-based builder utility analogous to IRBuilder.
class VPBuilder {
VPBasicBlock *BB = nullptr;
VPBasicBlock::iterator InsertPt = VPBasicBlock::iterator();
/// Insert \p VPI in BB at InsertPt if BB is set.
template <typename T> T *tryInsertInstruction(T *R) {
if (BB)
BB->insert(R, InsertPt);
return R;
}
VPInstruction *createInstruction(unsigned Opcode,
ArrayRef<VPValue *> Operands, DebugLoc DL,
const Twine &Name = "") {
return tryInsertInstruction(new VPInstruction(Opcode, Operands, DL, Name));
}
public:
VPBuilder() = default;
VPBuilder(VPBasicBlock *InsertBB) { setInsertPoint(InsertBB); }
VPBuilder(VPRecipeBase *InsertPt) { setInsertPoint(InsertPt); }
VPBuilder(VPBasicBlock *TheBB, VPBasicBlock::iterator IP) {
setInsertPoint(TheBB, IP);
}
/// Clear the insertion point: created instructions will not be inserted into
/// a block.
void clearInsertionPoint() {
BB = nullptr;
InsertPt = VPBasicBlock::iterator();
}
VPBasicBlock *getInsertBlock() const { return BB; }
VPBasicBlock::iterator getInsertPoint() const { return InsertPt; }
/// Create a VPBuilder to insert after \p R.
static VPBuilder getToInsertAfter(VPRecipeBase *R) {
VPBuilder B;
B.setInsertPoint(R->getParent(), std::next(R->getIterator()));
return B;
}
/// InsertPoint - A saved insertion point.
class VPInsertPoint {
VPBasicBlock *Block = nullptr;
VPBasicBlock::iterator Point;
public:
/// Creates a new insertion point which doesn't point to anything.
VPInsertPoint() = default;
/// Creates a new insertion point at the given location.
VPInsertPoint(VPBasicBlock *InsertBlock, VPBasicBlock::iterator InsertPoint)
: Block(InsertBlock), Point(InsertPoint) {}
/// Returns true if this insert point is set.
bool isSet() const { return Block != nullptr; }
VPBasicBlock *getBlock() const { return Block; }
VPBasicBlock::iterator getPoint() const { return Point; }
};
/// Sets the current insert point to a previously-saved location.
void restoreIP(VPInsertPoint IP) {
if (IP.isSet())
setInsertPoint(IP.getBlock(), IP.getPoint());
else
clearInsertionPoint();
}
/// This specifies that created VPInstructions should be appended to the end
/// of the specified block.
void setInsertPoint(VPBasicBlock *TheBB) {
assert(TheBB && "Attempting to set a null insert point");
BB = TheBB;
InsertPt = BB->end();
}
/// This specifies that created instructions should be inserted at the
/// specified point.
void setInsertPoint(VPBasicBlock *TheBB, VPBasicBlock::iterator IP) {
BB = TheBB;
InsertPt = IP;
}
/// This specifies that created instructions should be inserted at the
/// specified point.
void setInsertPoint(VPRecipeBase *IP) {
BB = IP->getParent();
InsertPt = IP->getIterator();
}
/// Insert \p R at the current insertion point.
void insert(VPRecipeBase *R) { BB->insert(R, InsertPt); }
/// Create an N-ary operation with \p Opcode, \p Operands and set \p Inst as
/// its underlying Instruction.
VPInstruction *createNaryOp(unsigned Opcode, ArrayRef<VPValue *> Operands,
Instruction *Inst = nullptr,
const Twine &Name = "") {
DebugLoc DL = DebugLoc::getUnknown();
if (Inst)
DL = Inst->getDebugLoc();
VPInstruction *NewVPInst = createInstruction(Opcode, Operands, DL, Name);
NewVPInst->setUnderlyingValue(Inst);
return NewVPInst;
}
VPInstruction *createNaryOp(unsigned Opcode, ArrayRef<VPValue *> Operands,
DebugLoc DL, const Twine &Name = "") {
return createInstruction(Opcode, Operands, DL, Name);
}
VPInstruction *createNaryOp(unsigned Opcode, ArrayRef<VPValue *> Operands,
const VPIRFlags &Flags,
DebugLoc DL = DebugLoc::getUnknown(),
const Twine &Name = "") {
return tryInsertInstruction(
new VPInstruction(Opcode, Operands, Flags, DL, Name));
}
VPInstruction *createNaryOp(unsigned Opcode,
std::initializer_list<VPValue *> Operands,
Type *ResultTy, const VPIRFlags &Flags = {},
DebugLoc DL = DebugLoc::getUnknown(),
const Twine &Name = "") {
return tryInsertInstruction(
new VPInstructionWithType(Opcode, Operands, ResultTy, Flags, DL, Name));
}
VPInstruction *createOverflowingOp(unsigned Opcode,
std::initializer_list<VPValue *> Operands,
VPRecipeWithIRFlags::WrapFlagsTy WrapFlags,
DebugLoc DL = DebugLoc::getUnknown(),
const Twine &Name = "") {
return tryInsertInstruction(
new VPInstruction(Opcode, Operands, WrapFlags, DL, Name));
}
VPInstruction *createNot(VPValue *Operand,
DebugLoc DL = DebugLoc::getUnknown(),
const Twine &Name = "") {
return createInstruction(VPInstruction::Not, {Operand}, DL, Name);
}
VPInstruction *createAnd(VPValue *LHS, VPValue *RHS,
DebugLoc DL = DebugLoc::getUnknown(),
const Twine &Name = "") {
return createInstruction(Instruction::BinaryOps::And, {LHS, RHS}, DL, Name);
}
VPInstruction *createOr(VPValue *LHS, VPValue *RHS,
DebugLoc DL = DebugLoc::getUnknown(),
const Twine &Name = "") {
return tryInsertInstruction(new VPInstruction(
Instruction::BinaryOps::Or, {LHS, RHS},
VPRecipeWithIRFlags::DisjointFlagsTy(false), DL, Name));
}
VPInstruction *createLogicalAnd(VPValue *LHS, VPValue *RHS,
DebugLoc DL = DebugLoc::getUnknown(),
const Twine &Name = "") {
return tryInsertInstruction(
new VPInstruction(VPInstruction::LogicalAnd, {LHS, RHS}, DL, Name));
}
VPInstruction *
createSelect(VPValue *Cond, VPValue *TrueVal, VPValue *FalseVal,
DebugLoc DL = DebugLoc::getUnknown(), const Twine &Name = "",
std::optional<FastMathFlags> FMFs = std::nullopt) {
auto *Select =
FMFs ? new VPInstruction(Instruction::Select, {Cond, TrueVal, FalseVal},
*FMFs, DL, Name)
: new VPInstruction(Instruction::Select, {Cond, TrueVal, FalseVal},
DL, Name);
return tryInsertInstruction(Select);
}
/// Create a new ICmp VPInstruction with predicate \p Pred and operands \p A
/// and \p B.
VPInstruction *createICmp(CmpInst::Predicate Pred, VPValue *A, VPValue *B,
DebugLoc DL = DebugLoc::getUnknown(),
const Twine &Name = "") {
assert(Pred >= CmpInst::FIRST_ICMP_PREDICATE &&
Pred <= CmpInst::LAST_ICMP_PREDICATE && "invalid predicate");
return tryInsertInstruction(
new VPInstruction(Instruction::ICmp, {A, B}, Pred, DL, Name));
}
/// Create a new FCmp VPInstruction with predicate \p Pred and operands \p A
/// and \p B.
VPInstruction *createFCmp(CmpInst::Predicate Pred, VPValue *A, VPValue *B,
DebugLoc DL = DebugLoc::getUnknown(),
const Twine &Name = "") {
assert(Pred >= CmpInst::FIRST_FCMP_PREDICATE &&
Pred <= CmpInst::LAST_FCMP_PREDICATE && "invalid predicate");
return tryInsertInstruction(
new VPInstruction(Instruction::FCmp, {A, B}, Pred, DL, Name));
}
VPInstruction *createPtrAdd(VPValue *Ptr, VPValue *Offset,
DebugLoc DL = DebugLoc::getUnknown(),
const Twine &Name = "") {
return tryInsertInstruction(
new VPInstruction(VPInstruction::PtrAdd, {Ptr, Offset},
GEPNoWrapFlags::none(), DL, Name));
}
VPInstruction *createInBoundsPtrAdd(VPValue *Ptr, VPValue *Offset,
DebugLoc DL = DebugLoc::getUnknown(),
const Twine &Name = "") {
return tryInsertInstruction(
new VPInstruction(VPInstruction::PtrAdd, {Ptr, Offset},
GEPNoWrapFlags::inBounds(), DL, Name));
}
VPPhi *createScalarPhi(ArrayRef<VPValue *> IncomingValues, DebugLoc DL,
const Twine &Name = "") {
return tryInsertInstruction(new VPPhi(IncomingValues, DL, Name));
}
/// Convert the input value \p Current to the corresponding value of an
/// induction with \p Start and \p Step values, using \p Start + \p Current *
/// \p Step.
VPDerivedIVRecipe *createDerivedIV(InductionDescriptor::InductionKind Kind,
FPMathOperator *FPBinOp, VPValue *Start,
VPValue *Current, VPValue *Step,
const Twine &Name = "") {
return tryInsertInstruction(
new VPDerivedIVRecipe(Kind, FPBinOp, Start, Current, Step, Name));
}
VPInstruction *createScalarCast(Instruction::CastOps Opcode, VPValue *Op,
Type *ResultTy, DebugLoc DL) {
return tryInsertInstruction(
new VPInstructionWithType(Opcode, Op, ResultTy, {}, DL));
}
VPValue *createScalarZExtOrTrunc(VPValue *Op, Type *ResultTy, Type *SrcTy,
DebugLoc DL) {
if (ResultTy == SrcTy)
return Op;
Instruction::CastOps CastOp =
ResultTy->getScalarSizeInBits() < SrcTy->getScalarSizeInBits()
? Instruction::Trunc
: Instruction::ZExt;
return createScalarCast(CastOp, Op, ResultTy, DL);
}
VPWidenCastRecipe *createWidenCast(Instruction::CastOps Opcode, VPValue *Op,
Type *ResultTy) {
return tryInsertInstruction(new VPWidenCastRecipe(Opcode, Op, ResultTy));
}
VPScalarIVStepsRecipe *
createScalarIVSteps(Instruction::BinaryOps InductionOpcode,
FPMathOperator *FPBinOp, VPValue *IV, VPValue *Step,
VPValue *VF, DebugLoc DL) {
return tryInsertInstruction(new VPScalarIVStepsRecipe(
IV, Step, VF, InductionOpcode,
FPBinOp ? FPBinOp->getFastMathFlags() : FastMathFlags(), DL));
}
//===--------------------------------------------------------------------===//
// RAII helpers.
//===--------------------------------------------------------------------===//
/// RAII object that stores the current insertion point and restores it when
/// the object is destroyed.
class InsertPointGuard {
VPBuilder &Builder;
VPBasicBlock *Block;
VPBasicBlock::iterator Point;
public:
InsertPointGuard(VPBuilder &B)
: Builder(B), Block(B.getInsertBlock()), Point(B.getInsertPoint()) {}
InsertPointGuard(const InsertPointGuard &) = delete;
InsertPointGuard &operator=(const InsertPointGuard &) = delete;
~InsertPointGuard() { Builder.restoreIP(VPInsertPoint(Block, Point)); }
};
};
/// TODO: The following VectorizationFactor was pulled out of
/// LoopVectorizationCostModel class. LV also deals with
/// VectorizerParams::VectorizationFactor.
/// We need to streamline them.
/// Information about vectorization costs.
struct VectorizationFactor {
/// Vector width with best cost.
ElementCount Width;
/// Cost of the loop with that width.
InstructionCost Cost;
/// Cost of the scalar loop.
InstructionCost ScalarCost;
/// The minimum trip count required to make vectorization profitable, e.g. due
/// to runtime checks.
ElementCount MinProfitableTripCount;
VectorizationFactor(ElementCount Width, InstructionCost Cost,
InstructionCost ScalarCost)
: Width(Width), Cost(Cost), ScalarCost(ScalarCost) {}
/// Width 1 means no vectorization, cost 0 means uncomputed cost.
static VectorizationFactor Disabled() {
return {ElementCount::getFixed(1), 0, 0};
}
bool operator==(const VectorizationFactor &rhs) const {
return Width == rhs.Width && Cost == rhs.Cost;
}
bool operator!=(const VectorizationFactor &rhs) const {
return !(*this == rhs);
}
};
/// A class that represents two vectorization factors (initialized with 0 by
/// default). One for fixed-width vectorization and one for scalable
/// vectorization. This can be used by the vectorizer to choose from a range of
/// fixed and/or scalable VFs in order to find the most cost-effective VF to
/// vectorize with.
struct FixedScalableVFPair {
ElementCount FixedVF;
ElementCount ScalableVF;
FixedScalableVFPair()
: FixedVF(ElementCount::getFixed(0)),
ScalableVF(ElementCount::getScalable(0)) {}
FixedScalableVFPair(const ElementCount &Max) : FixedScalableVFPair() {
*(Max.isScalable() ? &ScalableVF : &FixedVF) = Max;
}
FixedScalableVFPair(const ElementCount &FixedVF,
const ElementCount &ScalableVF)
: FixedVF(FixedVF), ScalableVF(ScalableVF) {
assert(!FixedVF.isScalable() && ScalableVF.isScalable() &&
"Invalid scalable properties");
}
static FixedScalableVFPair getNone() { return FixedScalableVFPair(); }
/// \return true if either fixed- or scalable VF is non-zero.
explicit operator bool() const { return FixedVF || ScalableVF; }
/// \return true if either fixed- or scalable VF is a valid vector VF.
bool hasVector() const { return FixedVF.isVector() || ScalableVF.isVector(); }
};
/// Planner drives the vectorization process after having passed
/// Legality checks.
class LoopVectorizationPlanner {
/// The loop that we evaluate.
Loop *OrigLoop;
/// Loop Info analysis.
LoopInfo *LI;
/// The dominator tree.
DominatorTree *DT;
/// Target Library Info.
const TargetLibraryInfo *TLI;
/// Target Transform Info.
const TargetTransformInfo &TTI;
/// The legality analysis.
LoopVectorizationLegality *Legal;
/// The profitability analysis.
LoopVectorizationCostModel &CM;
/// The interleaved access analysis.
InterleavedAccessInfo &IAI;
PredicatedScalarEvolution &PSE;
const LoopVectorizeHints &Hints;
OptimizationRemarkEmitter *ORE;
SmallVector<VPlanPtr, 4> VPlans;
/// Profitable vector factors.
SmallVector<VectorizationFactor, 8> ProfitableVFs;
/// A builder used to construct the current plan.
VPBuilder Builder;
/// Computes the cost of \p Plan for vectorization factor \p VF.
///
/// The current implementation requires access to the
/// LoopVectorizationLegality to handle inductions and reductions, which is
/// why it is kept separate from the VPlan-only cost infrastructure.
///
/// TODO: Move to VPlan::cost once the use of LoopVectorizationLegality has
/// been retired.
InstructionCost cost(VPlan &Plan, ElementCount VF) const;
/// Precompute costs for certain instructions using the legacy cost model. The
/// function is used to bring up the VPlan-based cost model to initially avoid
/// taking different decisions due to inaccuracies in the legacy cost model.
InstructionCost precomputeCosts(VPlan &Plan, ElementCount VF,
VPCostContext &CostCtx) const;
public:
LoopVectorizationPlanner(
Loop *L, LoopInfo *LI, DominatorTree *DT, const TargetLibraryInfo *TLI,
const TargetTransformInfo &TTI, LoopVectorizationLegality *Legal,
LoopVectorizationCostModel &CM, InterleavedAccessInfo &IAI,
PredicatedScalarEvolution &PSE, const LoopVectorizeHints &Hints,
OptimizationRemarkEmitter *ORE)
: OrigLoop(L), LI(LI), DT(DT), TLI(TLI), TTI(TTI), Legal(Legal), CM(CM),
IAI(IAI), PSE(PSE), Hints(Hints), ORE(ORE) {}
/// Build VPlans for the specified \p UserVF and \p UserIC if they are
/// non-zero or all applicable candidate VFs otherwise. If vectorization and
/// interleaving should be avoided up-front, no plans are generated.
void plan(ElementCount UserVF, unsigned UserIC);
/// Use the VPlan-native path to plan how to best vectorize, return the best
/// VF and its cost.
VectorizationFactor planInVPlanNativePath(ElementCount UserVF);
/// Return the VPlan for \p VF. At the moment, there is always a single VPlan
/// for each VF.
VPlan &getPlanFor(ElementCount VF) const;
/// Compute and return the most profitable vectorization factor. Also collect
/// all profitable VFs in ProfitableVFs.
VectorizationFactor computeBestVF();
/// Generate the IR code for the vectorized loop captured in VPlan \p BestPlan
/// according to the best selected \p VF and \p UF.
///
/// TODO: \p VectorizingEpilogue indicates if the executed VPlan is for the
/// epilogue vector loop. It should be removed once the re-use issue has been
/// fixed.
///
/// Returns a mapping of SCEVs to their expanded IR values.
/// Note that this is a temporary workaround needed due to the current
/// epilogue handling.
DenseMap<const SCEV *, Value *> executePlan(ElementCount VF, unsigned UF,
VPlan &BestPlan,
InnerLoopVectorizer &LB,
DominatorTree *DT,
bool VectorizingEpilogue);
#if !defined(NDEBUG) || defined(LLVM_ENABLE_DUMP)
void printPlans(raw_ostream &O);
#endif
/// Look through the existing plans and return true if we have one with
/// vectorization factor \p VF.
bool hasPlanWithVF(ElementCount VF) const {
return any_of(VPlans,
[&](const VPlanPtr &Plan) { return Plan->hasVF(VF); });
}
/// Test a \p Predicate on a \p Range of VF's. Return the value of applying
/// \p Predicate on Range.Start, possibly decreasing Range.End such that the
/// returned value holds for the entire \p Range.
static bool
getDecisionAndClampRange(const std::function<bool(ElementCount)> &Predicate,
VFRange &Range);
/// \return The most profitable vectorization factor and the cost of that VF
/// for vectorizing the epilogue. Returns VectorizationFactor::Disabled if
/// epilogue vectorization is not supported for the loop.
VectorizationFactor
selectEpilogueVectorizationFactor(const ElementCount MaxVF, unsigned IC);
/// Emit remarks for recipes with invalid costs in the available VPlans.
void emitInvalidCostRemarks(OptimizationRemarkEmitter *ORE);
protected:
/// Build VPlans for power-of-2 VF's between \p MinVF and \p MaxVF inclusive,
/// according to the information gathered by Legal when it checked if it is
/// legal to vectorize the loop.
void buildVPlans(ElementCount MinVF, ElementCount MaxVF);
private:
/// Build a VPlan according to the information gathered by Legal. \return a
/// VPlan for vectorization factors \p Range.Start and up to \p Range.End
/// exclusive, possibly decreasing \p Range.End. If no VPlan can be built for
/// the input range, set the largest included VF to the maximum VF for which
/// no plan could be built.
VPlanPtr tryToBuildVPlan(VFRange &Range);
/// Build a VPlan using VPRecipes according to the information gather by
/// Legal. This method is only used for the legacy inner loop vectorizer.
/// \p Range's largest included VF is restricted to the maximum VF the
/// returned VPlan is valid for. If no VPlan can be built for the input range,
/// set the largest included VF to the maximum VF for which no plan could be
/// built. Each VPlan is built starting from a copy of \p InitialPlan, which
/// is a plain CFG VPlan wrapping the original scalar loop.
VPlanPtr tryToBuildVPlanWithVPRecipes(VPlanPtr InitialPlan, VFRange &Range,
LoopVersioning *LVer);
/// Build VPlans for power-of-2 VF's between \p MinVF and \p MaxVF inclusive,
/// according to the information gathered by Legal when it checked if it is
/// legal to vectorize the loop. This method creates VPlans using VPRecipes.
void buildVPlansWithVPRecipes(ElementCount MinVF, ElementCount MaxVF);
// Adjust the recipes for reductions. For in-loop reductions the chain of
// instructions leading from the loop exit instr to the phi need to be
// converted to reductions, with one operand being vector and the other being
// the scalar reduction chain. For other reductions, a select is introduced
// between the phi and users outside the vector region when folding the tail.
void adjustRecipesForReductions(VPlanPtr &Plan,
VPRecipeBuilder &RecipeBuilder,
ElementCount MinVF);
/// Attach the runtime checks of \p RTChecks to \p Plan.
void attachRuntimeChecks(VPlan &Plan, GeneratedRTChecks &RTChecks,
bool HasBranchWeights) const;
#ifndef NDEBUG
/// \return The most profitable vectorization factor for the available VPlans
/// and the cost of that VF.
/// This is now only used to verify the decisions by the new VPlan-based
/// cost-model and will be retired once the VPlan-based cost-model is
/// stabilized.
VectorizationFactor selectVectorizationFactor();
#endif
/// Returns true if the per-lane cost of VectorizationFactor A is lower than
/// that of B.
bool isMoreProfitable(const VectorizationFactor &A,
const VectorizationFactor &B, bool HasTail) const;
/// Returns true if the per-lane cost of VectorizationFactor A is lower than
/// that of B in the context of vectorizing a loop with known \p MaxTripCount.
bool isMoreProfitable(const VectorizationFactor &A,
const VectorizationFactor &B,
const unsigned MaxTripCount, bool HasTail) const;
/// Determines if we have the infrastructure to vectorize the loop and its
/// epilogue, assuming the main loop is vectorized by \p VF.
bool isCandidateForEpilogueVectorization(const ElementCount VF) const;
};
} // namespace llvm
#endif // LLVM_TRANSFORMS_VECTORIZE_LOOPVECTORIZATIONPLANNER_H
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