Sanjay Patel bef6e67e95 [VectorCombine] transform bitcasted shuffle to wider elements
bitcast (shuf V, MaskC) --> shuf (bitcast V), MaskC'

This is the widen shuffle elements enhancement to D76727.
It builds on the analysis and simplifications in
D77881 and rG6a7e958a423e.

The phase ordering tests show that we can simplify inverse
shuffles across a binop in both directions (widen/narrow or
narrow/widen) now.

There's another potential transform visible in some of the
remaining TODOs - move a bitcasted operand of a shuffle
after the shuffle.

Differential Revision: https://reviews.llvm.org/D78371
2020-04-19 08:24:38 -04:00

395 lines
16 KiB
C++

//===------- VectorCombine.cpp - Optimize partial vector operations -------===//
//
// 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
//
//===----------------------------------------------------------------------===//
//
// This pass optimizes scalar/vector interactions using target cost models. The
// transforms implemented here may not fit in traditional loop-based or SLP
// vectorization passes.
//
//===----------------------------------------------------------------------===//
#include "llvm/Transforms/Vectorize/VectorCombine.h"
#include "llvm/ADT/Statistic.h"
#include "llvm/Analysis/GlobalsModRef.h"
#include "llvm/Analysis/TargetTransformInfo.h"
#include "llvm/Analysis/ValueTracking.h"
#include "llvm/Analysis/VectorUtils.h"
#include "llvm/IR/Dominators.h"
#include "llvm/IR/Function.h"
#include "llvm/IR/IRBuilder.h"
#include "llvm/IR/PatternMatch.h"
#include "llvm/InitializePasses.h"
#include "llvm/Pass.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Transforms/Vectorize.h"
#include "llvm/Transforms/Utils/Local.h"
using namespace llvm;
using namespace llvm::PatternMatch;
#define DEBUG_TYPE "vector-combine"
STATISTIC(NumVecCmp, "Number of vector compares formed");
STATISTIC(NumVecBO, "Number of vector binops formed");
static cl::opt<bool> DisableVectorCombine(
"disable-vector-combine", cl::init(false), cl::Hidden,
cl::desc("Disable all vector combine transforms"));
static cl::opt<bool> DisableBinopExtractShuffle(
"disable-binop-extract-shuffle", cl::init(false), cl::Hidden,
cl::desc("Disable binop extract to shuffle transforms"));
/// Compare the relative costs of 2 extracts followed by scalar operation vs.
/// vector operation(s) followed by extract. Return true if the existing
/// instructions are cheaper than a vector alternative. Otherwise, return false
/// and if one of the extracts should be transformed to a shufflevector, set
/// \p ConvertToShuffle to that extract instruction.
static bool isExtractExtractCheap(Instruction *Ext0, Instruction *Ext1,
unsigned Opcode,
const TargetTransformInfo &TTI,
Instruction *&ConvertToShuffle,
unsigned PreferredExtractIndex) {
assert(isa<ConstantInt>(Ext0->getOperand(1)) &&
isa<ConstantInt>(Ext1->getOperand(1)) &&
"Expected constant extract indexes");
Type *ScalarTy = Ext0->getType();
Type *VecTy = Ext0->getOperand(0)->getType();
int ScalarOpCost, VectorOpCost;
// Get cost estimates for scalar and vector versions of the operation.
bool IsBinOp = Instruction::isBinaryOp(Opcode);
if (IsBinOp) {
ScalarOpCost = TTI.getArithmeticInstrCost(Opcode, ScalarTy);
VectorOpCost = TTI.getArithmeticInstrCost(Opcode, VecTy);
} else {
assert((Opcode == Instruction::ICmp || Opcode == Instruction::FCmp) &&
"Expected a compare");
ScalarOpCost = TTI.getCmpSelInstrCost(Opcode, ScalarTy,
CmpInst::makeCmpResultType(ScalarTy));
VectorOpCost = TTI.getCmpSelInstrCost(Opcode, VecTy,
CmpInst::makeCmpResultType(VecTy));
}
// Get cost estimates for the extract elements. These costs will factor into
// both sequences.
unsigned Ext0Index = cast<ConstantInt>(Ext0->getOperand(1))->getZExtValue();
unsigned Ext1Index = cast<ConstantInt>(Ext1->getOperand(1))->getZExtValue();
int Extract0Cost = TTI.getVectorInstrCost(Instruction::ExtractElement,
VecTy, Ext0Index);
int Extract1Cost = TTI.getVectorInstrCost(Instruction::ExtractElement,
VecTy, Ext1Index);
// A more expensive extract will always be replaced by a splat shuffle.
// For example, if Ext0 is more expensive:
// opcode (extelt V0, Ext0), (ext V1, Ext1) -->
// extelt (opcode (splat V0, Ext0), V1), Ext1
// TODO: Evaluate whether that always results in lowest cost. Alternatively,
// check the cost of creating a broadcast shuffle and shuffling both
// operands to element 0.
int CheapExtractCost = std::min(Extract0Cost, Extract1Cost);
// Extra uses of the extracts mean that we include those costs in the
// vector total because those instructions will not be eliminated.
int OldCost, NewCost;
if (Ext0->getOperand(0) == Ext1->getOperand(0) && Ext0Index == Ext1Index) {
// Handle a special case. If the 2 extracts are identical, adjust the
// formulas to account for that. The extra use charge allows for either the
// CSE'd pattern or an unoptimized form with identical values:
// opcode (extelt V, C), (extelt V, C) --> extelt (opcode V, V), C
bool HasUseTax = Ext0 == Ext1 ? !Ext0->hasNUses(2)
: !Ext0->hasOneUse() || !Ext1->hasOneUse();
OldCost = CheapExtractCost + ScalarOpCost;
NewCost = VectorOpCost + CheapExtractCost + HasUseTax * CheapExtractCost;
} else {
// Handle the general case. Each extract is actually a different value:
// opcode (extelt V0, C0), (extelt V1, C1) --> extelt (opcode V0, V1), C
OldCost = Extract0Cost + Extract1Cost + ScalarOpCost;
NewCost = VectorOpCost + CheapExtractCost +
!Ext0->hasOneUse() * Extract0Cost +
!Ext1->hasOneUse() * Extract1Cost;
}
if (Ext0Index == Ext1Index) {
// If the extract indexes are identical, no shuffle is needed.
ConvertToShuffle = nullptr;
} else {
if (IsBinOp && DisableBinopExtractShuffle)
return true;
// If we are extracting from 2 different indexes, then one operand must be
// shuffled before performing the vector operation. The shuffle mask is
// undefined except for 1 lane that is being translated to the remaining
// extraction lane. Therefore, it is a splat shuffle. Ex:
// ShufMask = { undef, undef, 0, undef }
// TODO: The cost model has an option for a "broadcast" shuffle
// (splat-from-element-0), but no option for a more general splat.
NewCost +=
TTI.getShuffleCost(TargetTransformInfo::SK_PermuteSingleSrc, VecTy);
// The more expensive extract will be replaced by a shuffle. If the costs
// are equal and there is a preferred extract index, shuffle the opposite
// operand. Otherwise, replace the extract with the higher index.
if (Extract0Cost > Extract1Cost)
ConvertToShuffle = Ext0;
else if (Extract1Cost > Extract0Cost)
ConvertToShuffle = Ext1;
else if (PreferredExtractIndex == Ext0Index)
ConvertToShuffle = Ext1;
else if (PreferredExtractIndex == Ext1Index)
ConvertToShuffle = Ext0;
else
ConvertToShuffle = Ext0Index > Ext1Index ? Ext0 : Ext1;
}
// Aggressively form a vector op if the cost is equal because the transform
// may enable further optimization.
// Codegen can reverse this transform (scalarize) if it was not profitable.
return OldCost < NewCost;
}
/// Try to reduce extract element costs by converting scalar compares to vector
/// compares followed by extract.
/// cmp (ext0 V0, C), (ext1 V1, C)
static void foldExtExtCmp(Instruction *Ext0, Instruction *Ext1,
Instruction &I, const TargetTransformInfo &TTI) {
assert(isa<CmpInst>(&I) && "Expected a compare");
// cmp Pred (extelt V0, C), (extelt V1, C) --> extelt (cmp Pred V0, V1), C
++NumVecCmp;
IRBuilder<> Builder(&I);
CmpInst::Predicate Pred = cast<CmpInst>(&I)->getPredicate();
Value *V0 = Ext0->getOperand(0), *V1 = Ext1->getOperand(0);
Value *VecCmp =
Ext0->getType()->isFloatingPointTy() ? Builder.CreateFCmp(Pred, V0, V1)
: Builder.CreateICmp(Pred, V0, V1);
Value *Extract = Builder.CreateExtractElement(VecCmp, Ext0->getOperand(1));
I.replaceAllUsesWith(Extract);
}
/// Try to reduce extract element costs by converting scalar binops to vector
/// binops followed by extract.
/// bo (ext0 V0, C), (ext1 V1, C)
static void foldExtExtBinop(Instruction *Ext0, Instruction *Ext1,
Instruction &I, const TargetTransformInfo &TTI) {
assert(isa<BinaryOperator>(&I) && "Expected a binary operator");
// bo (extelt V0, C), (extelt V1, C) --> extelt (bo V0, V1), C
++NumVecBO;
IRBuilder<> Builder(&I);
Value *V0 = Ext0->getOperand(0), *V1 = Ext1->getOperand(0);
Value *VecBO =
Builder.CreateBinOp(cast<BinaryOperator>(&I)->getOpcode(), V0, V1);
// All IR flags are safe to back-propagate because any potential poison
// created in unused vector elements is discarded by the extract.
if (auto *VecBOInst = dyn_cast<Instruction>(VecBO))
VecBOInst->copyIRFlags(&I);
Value *Extract = Builder.CreateExtractElement(VecBO, Ext0->getOperand(1));
I.replaceAllUsesWith(Extract);
}
/// Match an instruction with extracted vector operands.
static bool foldExtractExtract(Instruction &I, const TargetTransformInfo &TTI) {
// It is not safe to transform things like div, urem, etc. because we may
// create undefined behavior when executing those on unknown vector elements.
if (!isSafeToSpeculativelyExecute(&I))
return false;
Instruction *Ext0, *Ext1;
CmpInst::Predicate Pred = CmpInst::BAD_ICMP_PREDICATE;
if (!match(&I, m_Cmp(Pred, m_Instruction(Ext0), m_Instruction(Ext1))) &&
!match(&I, m_BinOp(m_Instruction(Ext0), m_Instruction(Ext1))))
return false;
Value *V0, *V1;
uint64_t C0, C1;
if (!match(Ext0, m_ExtractElement(m_Value(V0), m_ConstantInt(C0))) ||
!match(Ext1, m_ExtractElement(m_Value(V1), m_ConstantInt(C1))) ||
V0->getType() != V1->getType())
return false;
// If the scalar value 'I' is going to be re-inserted into a vector, then try
// to create an extract to that same element. The extract/insert can be
// reduced to a "select shuffle".
// TODO: If we add a larger pattern match that starts from an insert, this
// probably becomes unnecessary.
uint64_t InsertIndex = std::numeric_limits<uint64_t>::max();
if (I.hasOneUse())
match(I.user_back(), m_InsertElement(m_Value(), m_Value(),
m_ConstantInt(InsertIndex)));
Instruction *ConvertToShuffle;
if (isExtractExtractCheap(Ext0, Ext1, I.getOpcode(), TTI, ConvertToShuffle,
InsertIndex))
return false;
if (ConvertToShuffle) {
// The shuffle mask is undefined except for 1 lane that is being translated
// to the cheap extraction lane. Example:
// ShufMask = { 2, undef, undef, undef }
uint64_t SplatIndex = ConvertToShuffle == Ext0 ? C0 : C1;
uint64_t CheapExtIndex = ConvertToShuffle == Ext0 ? C1 : C0;
auto *VecTy = cast<VectorType>(V0->getType());
SmallVector<int, 32> ShufMask(VecTy->getNumElements(), -1);
ShufMask[CheapExtIndex] = SplatIndex;
IRBuilder<> Builder(ConvertToShuffle);
// extelt X, C --> extelt (splat X), C'
Value *Shuf = Builder.CreateShuffleVector(ConvertToShuffle->getOperand(0),
UndefValue::get(VecTy), ShufMask);
Value *NewExt = Builder.CreateExtractElement(Shuf, CheapExtIndex);
if (ConvertToShuffle == Ext0)
Ext0 = cast<Instruction>(NewExt);
else
Ext1 = cast<Instruction>(NewExt);
}
if (Pred != CmpInst::BAD_ICMP_PREDICATE)
foldExtExtCmp(Ext0, Ext1, I, TTI);
else
foldExtExtBinop(Ext0, Ext1, I, TTI);
return true;
}
/// If this is a bitcast of a shuffle, try to bitcast the source vector to the
/// destination type followed by shuffle. This can enable further transforms by
/// moving bitcasts or shuffles together.
static bool foldBitcastShuf(Instruction &I, const TargetTransformInfo &TTI) {
Value *V;
ArrayRef<int> Mask;
if (!match(&I, m_BitCast(m_OneUse(m_ShuffleVector(m_Value(V), m_Undef(),
m_Mask(Mask))))))
return false;
// Disallow non-vector casts and length-changing shuffles.
// TODO: We could allow any shuffle.
auto *DestTy = dyn_cast<VectorType>(I.getType());
auto *SrcTy = cast<VectorType>(V->getType());
if (!DestTy || I.getOperand(0)->getType() != SrcTy)
return false;
// The new shuffle must not cost more than the old shuffle. The bitcast is
// moved ahead of the shuffle, so assume that it has the same cost as before.
if (TTI.getShuffleCost(TargetTransformInfo::SK_PermuteSingleSrc, DestTy) >
TTI.getShuffleCost(TargetTransformInfo::SK_PermuteSingleSrc, SrcTy))
return false;
unsigned DestNumElts = DestTy->getNumElements();
unsigned SrcNumElts = SrcTy->getNumElements();
SmallVector<int, 16> NewMask;
if (SrcNumElts <= DestNumElts) {
// The bitcast is from wide to narrow/equal elements. The shuffle mask can
// always be expanded to the equivalent form choosing narrower elements.
assert(DestNumElts % SrcNumElts == 0 && "Unexpected shuffle mask");
unsigned ScaleFactor = DestNumElts / SrcNumElts;
narrowShuffleMaskElts(ScaleFactor, Mask, NewMask);
} else {
// The bitcast is from narrow elements to wide elements. The shuffle mask
// must choose consecutive elements to allow casting first.
assert(SrcNumElts % DestNumElts == 0 && "Unexpected shuffle mask");
unsigned ScaleFactor = SrcNumElts / DestNumElts;
if (!widenShuffleMaskElts(ScaleFactor, Mask, NewMask))
return false;
}
// bitcast (shuf V, MaskC) --> shuf (bitcast V), MaskC'
IRBuilder<> Builder(&I);
Value *CastV = Builder.CreateBitCast(V, DestTy);
Value *Shuf = Builder.CreateShuffleVector(CastV, UndefValue::get(DestTy),
NewMask);
I.replaceAllUsesWith(Shuf);
return true;
}
/// This is the entry point for all transforms. Pass manager differences are
/// handled in the callers of this function.
static bool runImpl(Function &F, const TargetTransformInfo &TTI,
const DominatorTree &DT) {
if (DisableVectorCombine)
return false;
bool MadeChange = false;
for (BasicBlock &BB : F) {
// Ignore unreachable basic blocks.
if (!DT.isReachableFromEntry(&BB))
continue;
// Do not delete instructions under here and invalidate the iterator.
// Walk the block backwards for efficiency. We're matching a chain of
// use->defs, so we're more likely to succeed by starting from the bottom.
// TODO: It could be more efficient to remove dead instructions
// iteratively in this loop rather than waiting until the end.
for (Instruction &I : make_range(BB.rbegin(), BB.rend())) {
if (isa<DbgInfoIntrinsic>(I))
continue;
MadeChange |= foldExtractExtract(I, TTI);
MadeChange |= foldBitcastShuf(I, TTI);
}
}
// We're done with transforms, so remove dead instructions.
if (MadeChange)
for (BasicBlock &BB : F)
SimplifyInstructionsInBlock(&BB);
return MadeChange;
}
// Pass manager boilerplate below here.
namespace {
class VectorCombineLegacyPass : public FunctionPass {
public:
static char ID;
VectorCombineLegacyPass() : FunctionPass(ID) {
initializeVectorCombineLegacyPassPass(*PassRegistry::getPassRegistry());
}
void getAnalysisUsage(AnalysisUsage &AU) const override {
AU.addRequired<DominatorTreeWrapperPass>();
AU.addRequired<TargetTransformInfoWrapperPass>();
AU.setPreservesCFG();
AU.addPreserved<DominatorTreeWrapperPass>();
AU.addPreserved<GlobalsAAWrapperPass>();
FunctionPass::getAnalysisUsage(AU);
}
bool runOnFunction(Function &F) override {
if (skipFunction(F))
return false;
auto &TTI = getAnalysis<TargetTransformInfoWrapperPass>().getTTI(F);
auto &DT = getAnalysis<DominatorTreeWrapperPass>().getDomTree();
return runImpl(F, TTI, DT);
}
};
} // namespace
char VectorCombineLegacyPass::ID = 0;
INITIALIZE_PASS_BEGIN(VectorCombineLegacyPass, "vector-combine",
"Optimize scalar/vector ops", false,
false)
INITIALIZE_PASS_DEPENDENCY(DominatorTreeWrapperPass)
INITIALIZE_PASS_END(VectorCombineLegacyPass, "vector-combine",
"Optimize scalar/vector ops", false, false)
Pass *llvm::createVectorCombinePass() {
return new VectorCombineLegacyPass();
}
PreservedAnalyses VectorCombinePass::run(Function &F,
FunctionAnalysisManager &FAM) {
TargetTransformInfo &TTI = FAM.getResult<TargetIRAnalysis>(F);
DominatorTree &DT = FAM.getResult<DominatorTreeAnalysis>(F);
if (!runImpl(F, TTI, DT))
return PreservedAnalyses::all();
PreservedAnalyses PA;
PA.preserveSet<CFGAnalyses>();
PA.preserve<GlobalsAA>();
return PA;
}