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Chandler Carruthd3e73552013-01-07 03:08:10 +00001//===- llvm/Analysis/TargetTransformInfo.cpp ------------------------------===//
Nadav Rotem5dc203e2012-10-18 23:22:48 +00002//
3// The LLVM Compiler Infrastructure
4//
5// This file is distributed under the University of Illinois Open Source
6// License. See LICENSE.TXT for details.
7//
8//===----------------------------------------------------------------------===//
9
Chandler Carruthd3e73552013-01-07 03:08:10 +000010#include "llvm/Analysis/TargetTransformInfo.h"
Chandler Carruth705b1852015-01-31 03:43:40 +000011#include "llvm/Analysis/TargetTransformInfoImpl.h"
Chandler Carruth219b89b2014-03-04 11:01:28 +000012#include "llvm/IR/CallSite.h"
Chandler Carruth511aa762013-01-21 01:27:39 +000013#include "llvm/IR/DataLayout.h"
Chandler Carruth511aa762013-01-21 01:27:39 +000014#include "llvm/IR/Instruction.h"
Chandler Carruth511aa762013-01-21 01:27:39 +000015#include "llvm/IR/Instructions.h"
Chandler Carruth8a8cd2b2014-01-07 11:48:04 +000016#include "llvm/IR/IntrinsicInst.h"
Chandler Carruthe0385522015-02-01 10:11:22 +000017#include "llvm/IR/Module.h"
Chandler Carruth8a8cd2b2014-01-07 11:48:04 +000018#include "llvm/IR/Operator.h"
Guozhi Wei62d64142017-09-08 22:29:17 +000019#include "llvm/IR/PatternMatch.h"
Sean Fertile9cd1cdf2017-07-07 02:00:06 +000020#include "llvm/Support/CommandLine.h"
Nadav Rotem5dc203e2012-10-18 23:22:48 +000021#include "llvm/Support/ErrorHandling.h"
Benjamin Kramer82de7d32016-05-27 14:27:24 +000022#include <utility>
Nadav Rotem5dc203e2012-10-18 23:22:48 +000023
24using namespace llvm;
Guozhi Wei62d64142017-09-08 22:29:17 +000025using namespace PatternMatch;
Nadav Rotem5dc203e2012-10-18 23:22:48 +000026
Chandler Carruthf1221bd2014-04-22 02:48:03 +000027#define DEBUG_TYPE "tti"
28
Guozhi Wei62d64142017-09-08 22:29:17 +000029static cl::opt<bool> EnableReduxCost("costmodel-reduxcost", cl::init(false),
30 cl::Hidden,
31 cl::desc("Recognize reduction patterns."));
32
Chandler Carruth93dcdc42015-01-31 11:17:59 +000033namespace {
34/// \brief No-op implementation of the TTI interface using the utility base
35/// classes.
36///
37/// This is used when no target specific information is available.
38struct NoTTIImpl : TargetTransformInfoImplCRTPBase<NoTTIImpl> {
Mehdi Amini5010ebf2015-07-09 02:08:42 +000039 explicit NoTTIImpl(const DataLayout &DL)
Chandler Carruth93dcdc42015-01-31 11:17:59 +000040 : TargetTransformInfoImplCRTPBase<NoTTIImpl>(DL) {}
41};
42}
43
Mehdi Amini5010ebf2015-07-09 02:08:42 +000044TargetTransformInfo::TargetTransformInfo(const DataLayout &DL)
Chandler Carruth93dcdc42015-01-31 11:17:59 +000045 : TTIImpl(new Model<NoTTIImpl>(NoTTIImpl(DL))) {}
46
Chandler Carruth705b1852015-01-31 03:43:40 +000047TargetTransformInfo::~TargetTransformInfo() {}
Nadav Rotem5dc203e2012-10-18 23:22:48 +000048
Chandler Carruth705b1852015-01-31 03:43:40 +000049TargetTransformInfo::TargetTransformInfo(TargetTransformInfo &&Arg)
50 : TTIImpl(std::move(Arg.TTIImpl)) {}
Chandler Carruth539edf42013-01-05 11:43:11 +000051
Chandler Carruth705b1852015-01-31 03:43:40 +000052TargetTransformInfo &TargetTransformInfo::operator=(TargetTransformInfo &&RHS) {
53 TTIImpl = std::move(RHS.TTIImpl);
54 return *this;
Chandler Carruth539edf42013-01-05 11:43:11 +000055}
56
Chandler Carruth93205eb2015-08-05 18:08:10 +000057int TargetTransformInfo::getOperationCost(unsigned Opcode, Type *Ty,
58 Type *OpTy) const {
59 int Cost = TTIImpl->getOperationCost(Opcode, Ty, OpTy);
60 assert(Cost >= 0 && "TTI should not produce negative costs!");
61 return Cost;
Chandler Carruth511aa762013-01-21 01:27:39 +000062}
63
Chandler Carruth93205eb2015-08-05 18:08:10 +000064int TargetTransformInfo::getCallCost(FunctionType *FTy, int NumArgs) const {
65 int Cost = TTIImpl->getCallCost(FTy, NumArgs);
66 assert(Cost >= 0 && "TTI should not produce negative costs!");
67 return Cost;
Chandler Carruth0ba8db42013-01-22 11:26:02 +000068}
69
Chandler Carruth93205eb2015-08-05 18:08:10 +000070int TargetTransformInfo::getCallCost(const Function *F,
71 ArrayRef<const Value *> Arguments) const {
72 int Cost = TTIImpl->getCallCost(F, Arguments);
73 assert(Cost >= 0 && "TTI should not produce negative costs!");
74 return Cost;
Chandler Carruth0ba8db42013-01-22 11:26:02 +000075}
76
Justin Lebar8650a4d2016-04-15 01:38:48 +000077unsigned TargetTransformInfo::getInliningThresholdMultiplier() const {
78 return TTIImpl->getInliningThresholdMultiplier();
79}
80
Jingyue Wu15f3e822016-07-08 21:48:05 +000081int TargetTransformInfo::getGEPCost(Type *PointeeType, const Value *Ptr,
82 ArrayRef<const Value *> Operands) const {
83 return TTIImpl->getGEPCost(PointeeType, Ptr, Operands);
84}
85
Haicheng Wuabdef9e2017-07-15 02:12:16 +000086int TargetTransformInfo::getExtCost(const Instruction *I,
87 const Value *Src) const {
88 return TTIImpl->getExtCost(I, Src);
89}
90
Chandler Carruth93205eb2015-08-05 18:08:10 +000091int TargetTransformInfo::getIntrinsicCost(
92 Intrinsic::ID IID, Type *RetTy, ArrayRef<const Value *> Arguments) const {
93 int Cost = TTIImpl->getIntrinsicCost(IID, RetTy, Arguments);
94 assert(Cost >= 0 && "TTI should not produce negative costs!");
95 return Cost;
Chandler Carruth0ba8db42013-01-22 11:26:02 +000096}
97
Jun Bum Lim919f9e82017-04-28 16:04:03 +000098unsigned
99TargetTransformInfo::getEstimatedNumberOfCaseClusters(const SwitchInst &SI,
100 unsigned &JTSize) const {
101 return TTIImpl->getEstimatedNumberOfCaseClusters(SI, JTSize);
102}
103
Evgeny Astigeevich70ed78e2017-06-29 13:42:12 +0000104int TargetTransformInfo::getUserCost(const User *U,
105 ArrayRef<const Value *> Operands) const {
106 int Cost = TTIImpl->getUserCost(U, Operands);
Chandler Carruth93205eb2015-08-05 18:08:10 +0000107 assert(Cost >= 0 && "TTI should not produce negative costs!");
108 return Cost;
Chandler Carruth511aa762013-01-21 01:27:39 +0000109}
110
Tom Stellard8b1e0212013-07-27 00:01:07 +0000111bool TargetTransformInfo::hasBranchDivergence() const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000112 return TTIImpl->hasBranchDivergence();
Tom Stellard8b1e0212013-07-27 00:01:07 +0000113}
114
Jingyue Wu5da831c2015-04-10 05:03:50 +0000115bool TargetTransformInfo::isSourceOfDivergence(const Value *V) const {
116 return TTIImpl->isSourceOfDivergence(V);
117}
118
Alexander Timofeev0f9c84c2017-06-15 19:33:10 +0000119bool llvm::TargetTransformInfo::isAlwaysUniform(const Value *V) const {
120 return TTIImpl->isAlwaysUniform(V);
121}
122
Matt Arsenault42b64782017-01-30 23:02:12 +0000123unsigned TargetTransformInfo::getFlatAddressSpace() const {
124 return TTIImpl->getFlatAddressSpace();
125}
126
Chandler Carruth0ba8db42013-01-22 11:26:02 +0000127bool TargetTransformInfo::isLoweredToCall(const Function *F) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000128 return TTIImpl->isLoweredToCall(F);
Chandler Carruth0ba8db42013-01-22 11:26:02 +0000129}
130
Chandler Carruth705b1852015-01-31 03:43:40 +0000131void TargetTransformInfo::getUnrollingPreferences(
Geoff Berry66d9bdb2017-06-28 15:53:17 +0000132 Loop *L, ScalarEvolution &SE, UnrollingPreferences &UP) const {
133 return TTIImpl->getUnrollingPreferences(L, SE, UP);
Hal Finkel8f2e7002013-09-11 19:25:43 +0000134}
135
Chandler Carruth539edf42013-01-05 11:43:11 +0000136bool TargetTransformInfo::isLegalAddImmediate(int64_t Imm) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000137 return TTIImpl->isLegalAddImmediate(Imm);
Chandler Carruth539edf42013-01-05 11:43:11 +0000138}
139
140bool TargetTransformInfo::isLegalICmpImmediate(int64_t Imm) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000141 return TTIImpl->isLegalICmpImmediate(Imm);
Chandler Carruth539edf42013-01-05 11:43:11 +0000142}
143
144bool TargetTransformInfo::isLegalAddressingMode(Type *Ty, GlobalValue *BaseGV,
145 int64_t BaseOffset,
146 bool HasBaseReg,
Matt Arsenaulte83379e2015-06-07 20:12:03 +0000147 int64_t Scale,
Jonas Paulsson024e3192017-07-21 11:59:37 +0000148 unsigned AddrSpace,
149 Instruction *I) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000150 return TTIImpl->isLegalAddressingMode(Ty, BaseGV, BaseOffset, HasBaseReg,
Jonas Paulsson024e3192017-07-21 11:59:37 +0000151 Scale, AddrSpace, I);
Chandler Carruth539edf42013-01-05 11:43:11 +0000152}
153
Evgeny Stupachenkof2b3b462017-06-05 23:37:00 +0000154bool TargetTransformInfo::isLSRCostLess(LSRCost &C1, LSRCost &C2) const {
155 return TTIImpl->isLSRCostLess(C1, C2);
156}
157
Sanjay Pateld7c702b2018-02-05 23:43:05 +0000158bool TargetTransformInfo::canMacroFuseCmp() const {
159 return TTIImpl->canMacroFuseCmp();
160}
161
Krzysztof Parzyszek0b377e02018-03-26 13:10:09 +0000162bool TargetTransformInfo::shouldFavorPostInc() const {
163 return TTIImpl->shouldFavorPostInc();
164}
165
Elena Demikhovsky20662e32015-10-19 07:43:38 +0000166bool TargetTransformInfo::isLegalMaskedStore(Type *DataType) const {
167 return TTIImpl->isLegalMaskedStore(DataType);
Chandler Carruth705b1852015-01-31 03:43:40 +0000168}
169
Elena Demikhovsky20662e32015-10-19 07:43:38 +0000170bool TargetTransformInfo::isLegalMaskedLoad(Type *DataType) const {
171 return TTIImpl->isLegalMaskedLoad(DataType);
Chandler Carruth705b1852015-01-31 03:43:40 +0000172}
173
Elena Demikhovsky09285852015-10-25 15:37:55 +0000174bool TargetTransformInfo::isLegalMaskedGather(Type *DataType) const {
175 return TTIImpl->isLegalMaskedGather(DataType);
176}
177
178bool TargetTransformInfo::isLegalMaskedScatter(Type *DataType) const {
Mohammed Agabariacef53dc2017-07-27 10:28:16 +0000179 return TTIImpl->isLegalMaskedScatter(DataType);
Elena Demikhovsky09285852015-10-25 15:37:55 +0000180}
181
Sanjay Patel6fd43912017-09-09 13:38:18 +0000182bool TargetTransformInfo::hasDivRemOp(Type *DataType, bool IsSigned) const {
183 return TTIImpl->hasDivRemOp(DataType, IsSigned);
184}
185
Artem Belevichcb8f6322017-10-24 20:31:44 +0000186bool TargetTransformInfo::hasVolatileVariant(Instruction *I,
187 unsigned AddrSpace) const {
188 return TTIImpl->hasVolatileVariant(I, AddrSpace);
189}
190
Jonas Paulsson8624b7e2017-05-24 13:42:56 +0000191bool TargetTransformInfo::prefersVectorizedAddressing() const {
192 return TTIImpl->prefersVectorizedAddressing();
193}
194
Quentin Colombetbf490d42013-05-31 21:29:03 +0000195int TargetTransformInfo::getScalingFactorCost(Type *Ty, GlobalValue *BaseGV,
196 int64_t BaseOffset,
197 bool HasBaseReg,
Matt Arsenaulte83379e2015-06-07 20:12:03 +0000198 int64_t Scale,
199 unsigned AddrSpace) const {
Chandler Carruth93205eb2015-08-05 18:08:10 +0000200 int Cost = TTIImpl->getScalingFactorCost(Ty, BaseGV, BaseOffset, HasBaseReg,
201 Scale, AddrSpace);
202 assert(Cost >= 0 && "TTI should not produce negative costs!");
203 return Cost;
Quentin Colombetbf490d42013-05-31 21:29:03 +0000204}
205
Jonas Paulsson024e3192017-07-21 11:59:37 +0000206bool TargetTransformInfo::LSRWithInstrQueries() const {
207 return TTIImpl->LSRWithInstrQueries();
208}
209
Chandler Carruth539edf42013-01-05 11:43:11 +0000210bool TargetTransformInfo::isTruncateFree(Type *Ty1, Type *Ty2) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000211 return TTIImpl->isTruncateFree(Ty1, Ty2);
Chandler Carruth539edf42013-01-05 11:43:11 +0000212}
213
Chad Rosier54390052015-02-23 19:15:16 +0000214bool TargetTransformInfo::isProfitableToHoist(Instruction *I) const {
215 return TTIImpl->isProfitableToHoist(I);
216}
217
David Blaikie8ad9a972018-03-28 22:28:50 +0000218bool TargetTransformInfo::useAA() const { return TTIImpl->useAA(); }
219
Chandler Carruth539edf42013-01-05 11:43:11 +0000220bool TargetTransformInfo::isTypeLegal(Type *Ty) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000221 return TTIImpl->isTypeLegal(Ty);
Chandler Carruth539edf42013-01-05 11:43:11 +0000222}
223
224unsigned TargetTransformInfo::getJumpBufAlignment() const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000225 return TTIImpl->getJumpBufAlignment();
Chandler Carruth539edf42013-01-05 11:43:11 +0000226}
227
228unsigned TargetTransformInfo::getJumpBufSize() const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000229 return TTIImpl->getJumpBufSize();
Chandler Carruth539edf42013-01-05 11:43:11 +0000230}
231
232bool TargetTransformInfo::shouldBuildLookupTables() const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000233 return TTIImpl->shouldBuildLookupTables();
Chandler Carruth539edf42013-01-05 11:43:11 +0000234}
Oliver Stannard4df1cc02016-10-07 08:48:24 +0000235bool TargetTransformInfo::shouldBuildLookupTablesForConstant(Constant *C) const {
236 return TTIImpl->shouldBuildLookupTablesForConstant(C);
237}
Chandler Carruth539edf42013-01-05 11:43:11 +0000238
Zaara Syeda1f59ae32018-01-30 16:17:22 +0000239bool TargetTransformInfo::useColdCCForColdCall(Function &F) const {
240 return TTIImpl->useColdCCForColdCall(F);
241}
242
Jonas Paulsson8e2f9482017-01-26 07:03:25 +0000243unsigned TargetTransformInfo::
244getScalarizationOverhead(Type *Ty, bool Insert, bool Extract) const {
245 return TTIImpl->getScalarizationOverhead(Ty, Insert, Extract);
246}
247
248unsigned TargetTransformInfo::
249getOperandsScalarizationOverhead(ArrayRef<const Value *> Args,
250 unsigned VF) const {
251 return TTIImpl->getOperandsScalarizationOverhead(Args, VF);
252}
253
Jonas Paulssonda74ed42017-04-12 12:41:37 +0000254bool TargetTransformInfo::supportsEfficientVectorElementLoadStore() const {
255 return TTIImpl->supportsEfficientVectorElementLoadStore();
256}
257
Olivier Sallenave049d8032015-03-06 23:12:04 +0000258bool TargetTransformInfo::enableAggressiveInterleaving(bool LoopHasReductions) const {
259 return TTIImpl->enableAggressiveInterleaving(LoopHasReductions);
260}
261
Clement Courbetb2c3eb82017-10-30 14:19:33 +0000262const TargetTransformInfo::MemCmpExpansionOptions *
263TargetTransformInfo::enableMemCmpExpansion(bool IsZeroCmp) const {
264 return TTIImpl->enableMemCmpExpansion(IsZeroCmp);
Zaara Syeda3a7578c2017-05-31 17:12:38 +0000265}
266
Silviu Baranga61bdc512015-08-10 14:50:54 +0000267bool TargetTransformInfo::enableInterleavedAccessVectorization() const {
268 return TTIImpl->enableInterleavedAccessVectorization();
269}
270
Renato Golin5cb666a2016-04-14 20:42:18 +0000271bool TargetTransformInfo::isFPVectorizationPotentiallyUnsafe() const {
272 return TTIImpl->isFPVectorizationPotentiallyUnsafe();
273}
274
Alina Sbirlea6f937b12016-08-04 16:38:44 +0000275bool TargetTransformInfo::allowsMisalignedMemoryAccesses(LLVMContext &Context,
276 unsigned BitWidth,
Alina Sbirlea327955e2016-07-11 20:46:17 +0000277 unsigned AddressSpace,
278 unsigned Alignment,
279 bool *Fast) const {
Alina Sbirlea6f937b12016-08-04 16:38:44 +0000280 return TTIImpl->allowsMisalignedMemoryAccesses(Context, BitWidth, AddressSpace,
Alina Sbirlea327955e2016-07-11 20:46:17 +0000281 Alignment, Fast);
282}
283
Chandler Carruth50a36cd2013-01-07 03:16:03 +0000284TargetTransformInfo::PopcntSupportKind
285TargetTransformInfo::getPopcntSupport(unsigned IntTyWidthInBit) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000286 return TTIImpl->getPopcntSupport(IntTyWidthInBit);
Chandler Carruth539edf42013-01-05 11:43:11 +0000287}
288
Richard Sandiford37cd6cf2013-08-23 10:27:02 +0000289bool TargetTransformInfo::haveFastSqrt(Type *Ty) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000290 return TTIImpl->haveFastSqrt(Ty);
Richard Sandiford37cd6cf2013-08-23 10:27:02 +0000291}
292
Sanjay Patel0de1a4b2017-11-27 21:15:43 +0000293bool TargetTransformInfo::isFCmpOrdCheaperThanFCmpZero(Type *Ty) const {
294 return TTIImpl->isFCmpOrdCheaperThanFCmpZero(Ty);
295}
296
Chandler Carruth93205eb2015-08-05 18:08:10 +0000297int TargetTransformInfo::getFPOpCost(Type *Ty) const {
298 int Cost = TTIImpl->getFPOpCost(Ty);
299 assert(Cost >= 0 && "TTI should not produce negative costs!");
300 return Cost;
Cameron Esfahani17177d12015-02-05 02:09:33 +0000301}
302
Sjoerd Meijer38c2cd02016-07-14 07:44:20 +0000303int TargetTransformInfo::getIntImmCodeSizeCost(unsigned Opcode, unsigned Idx,
304 const APInt &Imm,
305 Type *Ty) const {
306 int Cost = TTIImpl->getIntImmCodeSizeCost(Opcode, Idx, Imm, Ty);
307 assert(Cost >= 0 && "TTI should not produce negative costs!");
308 return Cost;
309}
310
Chandler Carruth93205eb2015-08-05 18:08:10 +0000311int TargetTransformInfo::getIntImmCost(const APInt &Imm, Type *Ty) const {
312 int Cost = TTIImpl->getIntImmCost(Imm, Ty);
313 assert(Cost >= 0 && "TTI should not produce negative costs!");
314 return Cost;
Chandler Carruth539edf42013-01-05 11:43:11 +0000315}
316
Chandler Carruth93205eb2015-08-05 18:08:10 +0000317int TargetTransformInfo::getIntImmCost(unsigned Opcode, unsigned Idx,
318 const APInt &Imm, Type *Ty) const {
319 int Cost = TTIImpl->getIntImmCost(Opcode, Idx, Imm, Ty);
320 assert(Cost >= 0 && "TTI should not produce negative costs!");
321 return Cost;
Juergen Ributzkaf26beda2014-01-25 02:02:55 +0000322}
323
Chandler Carruth93205eb2015-08-05 18:08:10 +0000324int TargetTransformInfo::getIntImmCost(Intrinsic::ID IID, unsigned Idx,
325 const APInt &Imm, Type *Ty) const {
326 int Cost = TTIImpl->getIntImmCost(IID, Idx, Imm, Ty);
327 assert(Cost >= 0 && "TTI should not produce negative costs!");
328 return Cost;
Juergen Ributzkaf26beda2014-01-25 02:02:55 +0000329}
330
Chandler Carruth539edf42013-01-05 11:43:11 +0000331unsigned TargetTransformInfo::getNumberOfRegisters(bool Vector) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000332 return TTIImpl->getNumberOfRegisters(Vector);
Chandler Carruth539edf42013-01-05 11:43:11 +0000333}
334
Nadav Rotemb1791a72013-01-09 22:29:00 +0000335unsigned TargetTransformInfo::getRegisterBitWidth(bool Vector) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000336 return TTIImpl->getRegisterBitWidth(Vector);
Nadav Rotemb1791a72013-01-09 22:29:00 +0000337}
338
Adam Nemete29686e2017-05-15 21:15:01 +0000339unsigned TargetTransformInfo::getMinVectorRegisterBitWidth() const {
340 return TTIImpl->getMinVectorRegisterBitWidth();
341}
342
Krzysztof Parzyszek5d93fdf2018-03-27 16:14:11 +0000343bool TargetTransformInfo::shouldMaximizeVectorBandwidth(bool OptSize) const {
344 return TTIImpl->shouldMaximizeVectorBandwidth(OptSize);
345}
346
Krzysztof Parzyszekdfed9412018-04-13 20:16:32 +0000347unsigned TargetTransformInfo::getMinimumVF(unsigned ElemWidth) const {
348 return TTIImpl->getMinimumVF(ElemWidth);
349}
350
Jun Bum Limdee55652017-04-03 19:20:07 +0000351bool TargetTransformInfo::shouldConsiderAddressTypePromotion(
352 const Instruction &I, bool &AllowPromotionWithoutCommonHeader) const {
353 return TTIImpl->shouldConsiderAddressTypePromotion(
354 I, AllowPromotionWithoutCommonHeader);
355}
356
Adam Nemetaf761102016-01-21 18:28:36 +0000357unsigned TargetTransformInfo::getCacheLineSize() const {
358 return TTIImpl->getCacheLineSize();
359}
360
Tobias Grosserd7eb6192017-08-24 09:46:25 +0000361llvm::Optional<unsigned> TargetTransformInfo::getCacheSize(CacheLevel Level)
362 const {
363 return TTIImpl->getCacheSize(Level);
364}
365
366llvm::Optional<unsigned> TargetTransformInfo::getCacheAssociativity(
367 CacheLevel Level) const {
368 return TTIImpl->getCacheAssociativity(Level);
369}
370
Adam Nemetdadfbb52016-01-27 22:21:25 +0000371unsigned TargetTransformInfo::getPrefetchDistance() const {
372 return TTIImpl->getPrefetchDistance();
373}
374
Adam Nemet6d8beec2016-03-18 00:27:38 +0000375unsigned TargetTransformInfo::getMinPrefetchStride() const {
376 return TTIImpl->getMinPrefetchStride();
377}
378
Adam Nemet709e3042016-03-18 00:27:43 +0000379unsigned TargetTransformInfo::getMaxPrefetchIterationsAhead() const {
380 return TTIImpl->getMaxPrefetchIterationsAhead();
381}
382
Wei Mi062c7442015-05-06 17:12:25 +0000383unsigned TargetTransformInfo::getMaxInterleaveFactor(unsigned VF) const {
384 return TTIImpl->getMaxInterleaveFactor(VF);
Nadav Rotemb696c362013-01-09 01:15:42 +0000385}
386
Chandler Carruth93205eb2015-08-05 18:08:10 +0000387int TargetTransformInfo::getArithmeticInstrCost(
Chandler Carruth705b1852015-01-31 03:43:40 +0000388 unsigned Opcode, Type *Ty, OperandValueKind Opd1Info,
389 OperandValueKind Opd2Info, OperandValueProperties Opd1PropInfo,
Mohammed Agabaria2c96c432017-01-11 08:23:37 +0000390 OperandValueProperties Opd2PropInfo,
391 ArrayRef<const Value *> Args) const {
Chandler Carruth93205eb2015-08-05 18:08:10 +0000392 int Cost = TTIImpl->getArithmeticInstrCost(Opcode, Ty, Opd1Info, Opd2Info,
Mohammed Agabaria2c96c432017-01-11 08:23:37 +0000393 Opd1PropInfo, Opd2PropInfo, Args);
Chandler Carruth93205eb2015-08-05 18:08:10 +0000394 assert(Cost >= 0 && "TTI should not produce negative costs!");
395 return Cost;
Chandler Carruth539edf42013-01-05 11:43:11 +0000396}
397
Chandler Carruth93205eb2015-08-05 18:08:10 +0000398int TargetTransformInfo::getShuffleCost(ShuffleKind Kind, Type *Ty, int Index,
399 Type *SubTp) const {
400 int Cost = TTIImpl->getShuffleCost(Kind, Ty, Index, SubTp);
401 assert(Cost >= 0 && "TTI should not produce negative costs!");
402 return Cost;
Chandler Carruth539edf42013-01-05 11:43:11 +0000403}
404
Chandler Carruth93205eb2015-08-05 18:08:10 +0000405int TargetTransformInfo::getCastInstrCost(unsigned Opcode, Type *Dst,
Jonas Paulssonfccc7d62017-04-12 11:49:08 +0000406 Type *Src, const Instruction *I) const {
407 assert ((I == nullptr || I->getOpcode() == Opcode) &&
408 "Opcode should reflect passed instruction.");
409 int Cost = TTIImpl->getCastInstrCost(Opcode, Dst, Src, I);
Chandler Carruth93205eb2015-08-05 18:08:10 +0000410 assert(Cost >= 0 && "TTI should not produce negative costs!");
411 return Cost;
Chandler Carruth539edf42013-01-05 11:43:11 +0000412}
413
Matthew Simpsone5dfb082016-04-27 15:20:21 +0000414int TargetTransformInfo::getExtractWithExtendCost(unsigned Opcode, Type *Dst,
415 VectorType *VecTy,
416 unsigned Index) const {
417 int Cost = TTIImpl->getExtractWithExtendCost(Opcode, Dst, VecTy, Index);
418 assert(Cost >= 0 && "TTI should not produce negative costs!");
419 return Cost;
420}
421
Chandler Carruth93205eb2015-08-05 18:08:10 +0000422int TargetTransformInfo::getCFInstrCost(unsigned Opcode) const {
423 int Cost = TTIImpl->getCFInstrCost(Opcode);
424 assert(Cost >= 0 && "TTI should not produce negative costs!");
425 return Cost;
Chandler Carruth539edf42013-01-05 11:43:11 +0000426}
427
Chandler Carruth93205eb2015-08-05 18:08:10 +0000428int TargetTransformInfo::getCmpSelInstrCost(unsigned Opcode, Type *ValTy,
Jonas Paulssonfccc7d62017-04-12 11:49:08 +0000429 Type *CondTy, const Instruction *I) const {
430 assert ((I == nullptr || I->getOpcode() == Opcode) &&
431 "Opcode should reflect passed instruction.");
432 int Cost = TTIImpl->getCmpSelInstrCost(Opcode, ValTy, CondTy, I);
Chandler Carruth93205eb2015-08-05 18:08:10 +0000433 assert(Cost >= 0 && "TTI should not produce negative costs!");
434 return Cost;
Chandler Carruth539edf42013-01-05 11:43:11 +0000435}
436
Chandler Carruth93205eb2015-08-05 18:08:10 +0000437int TargetTransformInfo::getVectorInstrCost(unsigned Opcode, Type *Val,
438 unsigned Index) const {
439 int Cost = TTIImpl->getVectorInstrCost(Opcode, Val, Index);
440 assert(Cost >= 0 && "TTI should not produce negative costs!");
441 return Cost;
Chandler Carruth539edf42013-01-05 11:43:11 +0000442}
443
Chandler Carruth93205eb2015-08-05 18:08:10 +0000444int TargetTransformInfo::getMemoryOpCost(unsigned Opcode, Type *Src,
445 unsigned Alignment,
Jonas Paulssonfccc7d62017-04-12 11:49:08 +0000446 unsigned AddressSpace,
447 const Instruction *I) const {
448 assert ((I == nullptr || I->getOpcode() == Opcode) &&
449 "Opcode should reflect passed instruction.");
450 int Cost = TTIImpl->getMemoryOpCost(Opcode, Src, Alignment, AddressSpace, I);
Chandler Carruth93205eb2015-08-05 18:08:10 +0000451 assert(Cost >= 0 && "TTI should not produce negative costs!");
452 return Cost;
Elena Demikhovskya3232f72015-01-25 08:44:46 +0000453}
454
Chandler Carruth93205eb2015-08-05 18:08:10 +0000455int TargetTransformInfo::getMaskedMemoryOpCost(unsigned Opcode, Type *Src,
456 unsigned Alignment,
457 unsigned AddressSpace) const {
458 int Cost =
459 TTIImpl->getMaskedMemoryOpCost(Opcode, Src, Alignment, AddressSpace);
460 assert(Cost >= 0 && "TTI should not produce negative costs!");
461 return Cost;
Chandler Carruth705b1852015-01-31 03:43:40 +0000462}
463
Elena Demikhovsky54946982015-12-28 20:10:59 +0000464int TargetTransformInfo::getGatherScatterOpCost(unsigned Opcode, Type *DataTy,
465 Value *Ptr, bool VariableMask,
466 unsigned Alignment) const {
467 int Cost = TTIImpl->getGatherScatterOpCost(Opcode, DataTy, Ptr, VariableMask,
468 Alignment);
469 assert(Cost >= 0 && "TTI should not produce negative costs!");
470 return Cost;
471}
472
Chandler Carruth93205eb2015-08-05 18:08:10 +0000473int TargetTransformInfo::getInterleavedMemoryOpCost(
Hao Liu32c05392015-06-08 06:39:56 +0000474 unsigned Opcode, Type *VecTy, unsigned Factor, ArrayRef<unsigned> Indices,
475 unsigned Alignment, unsigned AddressSpace) const {
Chandler Carruth93205eb2015-08-05 18:08:10 +0000476 int Cost = TTIImpl->getInterleavedMemoryOpCost(Opcode, VecTy, Factor, Indices,
477 Alignment, AddressSpace);
478 assert(Cost >= 0 && "TTI should not produce negative costs!");
479 return Cost;
Hao Liu32c05392015-06-08 06:39:56 +0000480}
481
Chandler Carruth93205eb2015-08-05 18:08:10 +0000482int TargetTransformInfo::getIntrinsicInstrCost(Intrinsic::ID ID, Type *RetTy,
Jonas Paulssona48ea232017-03-14 06:35:36 +0000483 ArrayRef<Type *> Tys, FastMathFlags FMF,
484 unsigned ScalarizationCostPassed) const {
485 int Cost = TTIImpl->getIntrinsicInstrCost(ID, RetTy, Tys, FMF,
486 ScalarizationCostPassed);
Chandler Carruth93205eb2015-08-05 18:08:10 +0000487 assert(Cost >= 0 && "TTI should not produce negative costs!");
488 return Cost;
489}
490
Elena Demikhovsky54946982015-12-28 20:10:59 +0000491int TargetTransformInfo::getIntrinsicInstrCost(Intrinsic::ID ID, Type *RetTy,
Jonas Paulssona48ea232017-03-14 06:35:36 +0000492 ArrayRef<Value *> Args, FastMathFlags FMF, unsigned VF) const {
493 int Cost = TTIImpl->getIntrinsicInstrCost(ID, RetTy, Args, FMF, VF);
Elena Demikhovsky54946982015-12-28 20:10:59 +0000494 assert(Cost >= 0 && "TTI should not produce negative costs!");
495 return Cost;
496}
497
Chandler Carruth93205eb2015-08-05 18:08:10 +0000498int TargetTransformInfo::getCallInstrCost(Function *F, Type *RetTy,
499 ArrayRef<Type *> Tys) const {
500 int Cost = TTIImpl->getCallInstrCost(F, RetTy, Tys);
501 assert(Cost >= 0 && "TTI should not produce negative costs!");
502 return Cost;
Michael Zolotukhin7ed84a82015-03-17 19:26:23 +0000503}
504
Chandler Carruth539edf42013-01-05 11:43:11 +0000505unsigned TargetTransformInfo::getNumberOfParts(Type *Tp) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000506 return TTIImpl->getNumberOfParts(Tp);
Chandler Carruth539edf42013-01-05 11:43:11 +0000507}
508
Chandler Carruth93205eb2015-08-05 18:08:10 +0000509int TargetTransformInfo::getAddressComputationCost(Type *Tp,
Mohammed Agabaria23599ba2017-01-05 14:03:41 +0000510 ScalarEvolution *SE,
511 const SCEV *Ptr) const {
512 int Cost = TTIImpl->getAddressComputationCost(Tp, SE, Ptr);
Chandler Carruth93205eb2015-08-05 18:08:10 +0000513 assert(Cost >= 0 && "TTI should not produce negative costs!");
514 return Cost;
Arnold Schwaighofer594fa2d2013-02-08 14:50:48 +0000515}
Chandler Carruth539edf42013-01-05 11:43:11 +0000516
Alexey Bataev3e9b3eb2017-07-31 14:19:32 +0000517int TargetTransformInfo::getArithmeticReductionCost(unsigned Opcode, Type *Ty,
518 bool IsPairwiseForm) const {
519 int Cost = TTIImpl->getArithmeticReductionCost(Opcode, Ty, IsPairwiseForm);
Chandler Carruth93205eb2015-08-05 18:08:10 +0000520 assert(Cost >= 0 && "TTI should not produce negative costs!");
521 return Cost;
Arnold Schwaighofercae87352013-09-17 18:06:50 +0000522}
523
Alexey Bataev6dd29fc2017-09-08 13:49:36 +0000524int TargetTransformInfo::getMinMaxReductionCost(Type *Ty, Type *CondTy,
525 bool IsPairwiseForm,
526 bool IsUnsigned) const {
527 int Cost =
528 TTIImpl->getMinMaxReductionCost(Ty, CondTy, IsPairwiseForm, IsUnsigned);
529 assert(Cost >= 0 && "TTI should not produce negative costs!");
530 return Cost;
531}
532
Chandler Carruth705b1852015-01-31 03:43:40 +0000533unsigned
534TargetTransformInfo::getCostOfKeepingLiveOverCall(ArrayRef<Type *> Tys) const {
535 return TTIImpl->getCostOfKeepingLiveOverCall(Tys);
Chad Rosierf9327d62015-01-26 22:51:15 +0000536}
537
538bool TargetTransformInfo::getTgtMemIntrinsic(IntrinsicInst *Inst,
539 MemIntrinsicInfo &Info) const {
Chandler Carruth705b1852015-01-31 03:43:40 +0000540 return TTIImpl->getTgtMemIntrinsic(Inst, Info);
Chad Rosierf9327d62015-01-26 22:51:15 +0000541}
542
Anna Thomasb2a212c2017-06-06 16:45:25 +0000543unsigned TargetTransformInfo::getAtomicMemIntrinsicMaxElementSize() const {
544 return TTIImpl->getAtomicMemIntrinsicMaxElementSize();
545}
546
Chandler Carruth705b1852015-01-31 03:43:40 +0000547Value *TargetTransformInfo::getOrCreateResultFromMemIntrinsic(
548 IntrinsicInst *Inst, Type *ExpectedType) const {
549 return TTIImpl->getOrCreateResultFromMemIntrinsic(Inst, ExpectedType);
550}
551
Sean Fertile9cd1cdf2017-07-07 02:00:06 +0000552Type *TargetTransformInfo::getMemcpyLoopLoweringType(LLVMContext &Context,
553 Value *Length,
554 unsigned SrcAlign,
555 unsigned DestAlign) const {
556 return TTIImpl->getMemcpyLoopLoweringType(Context, Length, SrcAlign,
557 DestAlign);
558}
559
560void TargetTransformInfo::getMemcpyLoopResidualLoweringType(
561 SmallVectorImpl<Type *> &OpsOut, LLVMContext &Context,
562 unsigned RemainingBytes, unsigned SrcAlign, unsigned DestAlign) const {
563 TTIImpl->getMemcpyLoopResidualLoweringType(OpsOut, Context, RemainingBytes,
564 SrcAlign, DestAlign);
565}
566
Eric Christopherd566fb12015-07-29 22:09:48 +0000567bool TargetTransformInfo::areInlineCompatible(const Function *Caller,
568 const Function *Callee) const {
569 return TTIImpl->areInlineCompatible(Caller, Callee);
Eric Christopher4371b132015-07-02 01:11:47 +0000570}
571
Krzysztof Parzyszek0b377e02018-03-26 13:10:09 +0000572bool TargetTransformInfo::isIndexedLoadLegal(MemIndexedMode Mode,
573 Type *Ty) const {
574 return TTIImpl->isIndexedLoadLegal(Mode, Ty);
575}
576
577bool TargetTransformInfo::isIndexedStoreLegal(MemIndexedMode Mode,
578 Type *Ty) const {
579 return TTIImpl->isIndexedStoreLegal(Mode, Ty);
580}
581
Volkan Keles1c386812016-10-03 10:31:34 +0000582unsigned TargetTransformInfo::getLoadStoreVecRegBitWidth(unsigned AS) const {
583 return TTIImpl->getLoadStoreVecRegBitWidth(AS);
584}
585
586bool TargetTransformInfo::isLegalToVectorizeLoad(LoadInst *LI) const {
587 return TTIImpl->isLegalToVectorizeLoad(LI);
588}
589
590bool TargetTransformInfo::isLegalToVectorizeStore(StoreInst *SI) const {
591 return TTIImpl->isLegalToVectorizeStore(SI);
592}
593
594bool TargetTransformInfo::isLegalToVectorizeLoadChain(
595 unsigned ChainSizeInBytes, unsigned Alignment, unsigned AddrSpace) const {
596 return TTIImpl->isLegalToVectorizeLoadChain(ChainSizeInBytes, Alignment,
597 AddrSpace);
598}
599
600bool TargetTransformInfo::isLegalToVectorizeStoreChain(
601 unsigned ChainSizeInBytes, unsigned Alignment, unsigned AddrSpace) const {
602 return TTIImpl->isLegalToVectorizeStoreChain(ChainSizeInBytes, Alignment,
603 AddrSpace);
604}
605
606unsigned TargetTransformInfo::getLoadVectorFactor(unsigned VF,
607 unsigned LoadSize,
608 unsigned ChainSizeInBytes,
609 VectorType *VecTy) const {
610 return TTIImpl->getLoadVectorFactor(VF, LoadSize, ChainSizeInBytes, VecTy);
611}
612
613unsigned TargetTransformInfo::getStoreVectorFactor(unsigned VF,
614 unsigned StoreSize,
615 unsigned ChainSizeInBytes,
616 VectorType *VecTy) const {
617 return TTIImpl->getStoreVectorFactor(VF, StoreSize, ChainSizeInBytes, VecTy);
618}
619
Amara Emersoncf9daa32017-05-09 10:43:25 +0000620bool TargetTransformInfo::useReductionIntrinsic(unsigned Opcode,
621 Type *Ty, ReductionFlags Flags) const {
622 return TTIImpl->useReductionIntrinsic(Opcode, Ty, Flags);
623}
624
Amara Emerson836b0f42017-05-10 09:42:49 +0000625bool TargetTransformInfo::shouldExpandReduction(const IntrinsicInst *II) const {
626 return TTIImpl->shouldExpandReduction(II);
627}
Amara Emersoncf9daa32017-05-09 10:43:25 +0000628
Guozhi Wei62d64142017-09-08 22:29:17 +0000629int TargetTransformInfo::getInstructionLatency(const Instruction *I) const {
630 return TTIImpl->getInstructionLatency(I);
631}
632
633static bool isReverseVectorMask(ArrayRef<int> Mask) {
634 for (unsigned i = 0, MaskSize = Mask.size(); i < MaskSize; ++i)
635 if (Mask[i] >= 0 && Mask[i] != (int)(MaskSize - 1 - i))
636 return false;
637 return true;
638}
639
640static bool isSingleSourceVectorMask(ArrayRef<int> Mask) {
641 bool Vec0 = false;
642 bool Vec1 = false;
643 for (unsigned i = 0, NumVecElts = Mask.size(); i < NumVecElts; ++i) {
644 if (Mask[i] >= 0) {
645 if ((unsigned)Mask[i] >= NumVecElts)
646 Vec1 = true;
647 else
648 Vec0 = true;
649 }
650 }
651 return !(Vec0 && Vec1);
652}
653
654static bool isZeroEltBroadcastVectorMask(ArrayRef<int> Mask) {
655 for (unsigned i = 0; i < Mask.size(); ++i)
656 if (Mask[i] > 0)
657 return false;
658 return true;
659}
660
661static bool isAlternateVectorMask(ArrayRef<int> Mask) {
662 bool isAlternate = true;
663 unsigned MaskSize = Mask.size();
664
665 // Example: shufflevector A, B, <0,5,2,7>
666 for (unsigned i = 0; i < MaskSize && isAlternate; ++i) {
667 if (Mask[i] < 0)
668 continue;
669 isAlternate = Mask[i] == (int)((i & 1) ? MaskSize + i : i);
670 }
671
672 if (isAlternate)
673 return true;
674
675 isAlternate = true;
676 // Example: shufflevector A, B, <4,1,6,3>
677 for (unsigned i = 0; i < MaskSize && isAlternate; ++i) {
678 if (Mask[i] < 0)
679 continue;
680 isAlternate = Mask[i] == (int)((i & 1) ? i : MaskSize + i);
681 }
682
683 return isAlternate;
684}
685
Matthew Simpsonb4096eb2018-04-26 13:48:33 +0000686static bool isTransposeVectorMask(ArrayRef<int> Mask) {
687 // Transpose vector masks transpose a 2xn matrix. They read corresponding
688 // even- or odd-numbered vector elements from two n-dimensional source
689 // vectors and write each result into consecutive elements of an
690 // n-dimensional destination vector. Two shuffles are necessary to complete
691 // the transpose, one for the even elements and another for the odd elements.
692 // This description closely follows how the TRN1 and TRN2 AArch64
693 // instructions operate.
694 //
695 // For example, a simple 2x2 matrix can be transposed with:
696 //
697 // ; Original matrix
698 // m0 = <a, b>
699 // m1 = <c, d>
700 //
701 // ; Transposed matrix
702 // t0 = <a, c> = shufflevector m0, m1, <0, 2>
703 // t1 = <b, d> = shufflevector m0, m1, <1, 3>
704 //
705 // For matrices having greater than n columns, the resulting nx2 transposed
706 // matrix is stored in two result vectors such that one vector contains
707 // interleaved elements from all the even-numbered rows and the other vector
708 // contains interleaved elements from all the odd-numbered rows. For example,
709 // a 2x4 matrix can be transposed with:
710 //
711 // ; Original matrix
712 // m0 = <a, b, c, d>
713 // m1 = <e, f, g, h>
714 //
715 // ; Transposed matrix
716 // t0 = <a, e, c, g> = shufflevector m0, m1 <0, 4, 2, 6>
717 // t1 = <b, f, d, h> = shufflevector m0, m1 <1, 5, 3, 7>
718 //
719 // The above explanation places limitations on what valid transpose masks can
720 // look like. These limitations are defined by the checks below.
721 //
722 // 1. The number of elements in the mask must be a power of two.
723 if (!isPowerOf2_32(Mask.size()))
724 return false;
725
726 // 2. The first element of the mask must be either a zero (for the
727 // even-numbered vector elements) or a one (for the odd-numbered vector
728 // elements).
729 if (Mask[0] != 0 && Mask[0] != 1)
730 return false;
731
732 // 3. The difference between the first two elements must be equal to the
733 // number of elements in the mask.
734 if (Mask[1] - Mask[0] != (int)Mask.size())
735 return false;
736
737 // 4. The difference between consecutive even-numbered and odd-numbered
738 // elements must be equal to two.
739 for (int I = 2; I < (int)Mask.size(); ++I)
740 if (Mask[I] - Mask[I - 2] != 2)
741 return false;
742
743 return true;
744}
745
Guozhi Wei62d64142017-09-08 22:29:17 +0000746static TargetTransformInfo::OperandValueKind getOperandInfo(Value *V) {
747 TargetTransformInfo::OperandValueKind OpInfo =
748 TargetTransformInfo::OK_AnyValue;
749
750 // Check for a splat of a constant or for a non uniform vector of constants.
751 if (isa<ConstantVector>(V) || isa<ConstantDataVector>(V)) {
752 OpInfo = TargetTransformInfo::OK_NonUniformConstantValue;
753 if (cast<Constant>(V)->getSplatValue() != nullptr)
754 OpInfo = TargetTransformInfo::OK_UniformConstantValue;
755 }
756
757 // Check for a splat of a uniform value. This is not loop aware, so return
758 // true only for the obviously uniform cases (argument, globalvalue)
759 const Value *Splat = getSplatValue(V);
760 if (Splat && (isa<Argument>(Splat) || isa<GlobalValue>(Splat)))
761 OpInfo = TargetTransformInfo::OK_UniformValue;
762
763 return OpInfo;
764}
765
766static bool matchPairwiseShuffleMask(ShuffleVectorInst *SI, bool IsLeft,
767 unsigned Level) {
768 // We don't need a shuffle if we just want to have element 0 in position 0 of
769 // the vector.
770 if (!SI && Level == 0 && IsLeft)
771 return true;
772 else if (!SI)
773 return false;
774
775 SmallVector<int, 32> Mask(SI->getType()->getVectorNumElements(), -1);
776
777 // Build a mask of 0, 2, ... (left) or 1, 3, ... (right) depending on whether
778 // we look at the left or right side.
779 for (unsigned i = 0, e = (1 << Level), val = !IsLeft; i != e; ++i, val += 2)
780 Mask[i] = val;
781
782 SmallVector<int, 16> ActualMask = SI->getShuffleMask();
783 return Mask == ActualMask;
784}
785
786namespace {
787/// Kind of the reduction data.
788enum ReductionKind {
789 RK_None, /// Not a reduction.
790 RK_Arithmetic, /// Binary reduction data.
791 RK_MinMax, /// Min/max reduction data.
792 RK_UnsignedMinMax, /// Unsigned min/max reduction data.
793};
794/// Contains opcode + LHS/RHS parts of the reduction operations.
795struct ReductionData {
796 ReductionData() = delete;
797 ReductionData(ReductionKind Kind, unsigned Opcode, Value *LHS, Value *RHS)
798 : Opcode(Opcode), LHS(LHS), RHS(RHS), Kind(Kind) {
799 assert(Kind != RK_None && "expected binary or min/max reduction only.");
800 }
801 unsigned Opcode = 0;
802 Value *LHS = nullptr;
803 Value *RHS = nullptr;
804 ReductionKind Kind = RK_None;
805 bool hasSameData(ReductionData &RD) const {
806 return Kind == RD.Kind && Opcode == RD.Opcode;
807 }
808};
809} // namespace
810
811static Optional<ReductionData> getReductionData(Instruction *I) {
812 Value *L, *R;
813 if (m_BinOp(m_Value(L), m_Value(R)).match(I))
814 return ReductionData(RK_Arithmetic, I->getOpcode(), L, R);
815 if (auto *SI = dyn_cast<SelectInst>(I)) {
816 if (m_SMin(m_Value(L), m_Value(R)).match(SI) ||
817 m_SMax(m_Value(L), m_Value(R)).match(SI) ||
818 m_OrdFMin(m_Value(L), m_Value(R)).match(SI) ||
819 m_OrdFMax(m_Value(L), m_Value(R)).match(SI) ||
820 m_UnordFMin(m_Value(L), m_Value(R)).match(SI) ||
821 m_UnordFMax(m_Value(L), m_Value(R)).match(SI)) {
822 auto *CI = cast<CmpInst>(SI->getCondition());
823 return ReductionData(RK_MinMax, CI->getOpcode(), L, R);
824 }
825 if (m_UMin(m_Value(L), m_Value(R)).match(SI) ||
826 m_UMax(m_Value(L), m_Value(R)).match(SI)) {
827 auto *CI = cast<CmpInst>(SI->getCondition());
828 return ReductionData(RK_UnsignedMinMax, CI->getOpcode(), L, R);
829 }
830 }
831 return llvm::None;
832}
833
834static ReductionKind matchPairwiseReductionAtLevel(Instruction *I,
835 unsigned Level,
836 unsigned NumLevels) {
837 // Match one level of pairwise operations.
838 // %rdx.shuf.0.0 = shufflevector <4 x float> %rdx, <4 x float> undef,
839 // <4 x i32> <i32 0, i32 2 , i32 undef, i32 undef>
840 // %rdx.shuf.0.1 = shufflevector <4 x float> %rdx, <4 x float> undef,
841 // <4 x i32> <i32 1, i32 3, i32 undef, i32 undef>
842 // %bin.rdx.0 = fadd <4 x float> %rdx.shuf.0.0, %rdx.shuf.0.1
843 if (!I)
844 return RK_None;
845
846 assert(I->getType()->isVectorTy() && "Expecting a vector type");
847
848 Optional<ReductionData> RD = getReductionData(I);
849 if (!RD)
850 return RK_None;
851
852 ShuffleVectorInst *LS = dyn_cast<ShuffleVectorInst>(RD->LHS);
853 if (!LS && Level)
854 return RK_None;
855 ShuffleVectorInst *RS = dyn_cast<ShuffleVectorInst>(RD->RHS);
856 if (!RS && Level)
857 return RK_None;
858
859 // On level 0 we can omit one shufflevector instruction.
860 if (!Level && !RS && !LS)
861 return RK_None;
862
863 // Shuffle inputs must match.
864 Value *NextLevelOpL = LS ? LS->getOperand(0) : nullptr;
865 Value *NextLevelOpR = RS ? RS->getOperand(0) : nullptr;
866 Value *NextLevelOp = nullptr;
867 if (NextLevelOpR && NextLevelOpL) {
868 // If we have two shuffles their operands must match.
869 if (NextLevelOpL != NextLevelOpR)
870 return RK_None;
871
872 NextLevelOp = NextLevelOpL;
873 } else if (Level == 0 && (NextLevelOpR || NextLevelOpL)) {
874 // On the first level we can omit the shufflevector <0, undef,...>. So the
875 // input to the other shufflevector <1, undef> must match with one of the
876 // inputs to the current binary operation.
877 // Example:
878 // %NextLevelOpL = shufflevector %R, <1, undef ...>
879 // %BinOp = fadd %NextLevelOpL, %R
880 if (NextLevelOpL && NextLevelOpL != RD->RHS)
881 return RK_None;
882 else if (NextLevelOpR && NextLevelOpR != RD->LHS)
883 return RK_None;
884
885 NextLevelOp = NextLevelOpL ? RD->RHS : RD->LHS;
886 } else
887 return RK_None;
888
889 // Check that the next levels binary operation exists and matches with the
890 // current one.
891 if (Level + 1 != NumLevels) {
892 Optional<ReductionData> NextLevelRD =
893 getReductionData(cast<Instruction>(NextLevelOp));
894 if (!NextLevelRD || !RD->hasSameData(*NextLevelRD))
895 return RK_None;
896 }
897
898 // Shuffle mask for pairwise operation must match.
899 if (matchPairwiseShuffleMask(LS, /*IsLeft=*/true, Level)) {
900 if (!matchPairwiseShuffleMask(RS, /*IsLeft=*/false, Level))
901 return RK_None;
902 } else if (matchPairwiseShuffleMask(RS, /*IsLeft=*/true, Level)) {
903 if (!matchPairwiseShuffleMask(LS, /*IsLeft=*/false, Level))
904 return RK_None;
905 } else {
906 return RK_None;
907 }
908
909 if (++Level == NumLevels)
910 return RD->Kind;
911
912 // Match next level.
913 return matchPairwiseReductionAtLevel(cast<Instruction>(NextLevelOp), Level,
914 NumLevels);
915}
916
917static ReductionKind matchPairwiseReduction(const ExtractElementInst *ReduxRoot,
918 unsigned &Opcode, Type *&Ty) {
919 if (!EnableReduxCost)
920 return RK_None;
921
922 // Need to extract the first element.
923 ConstantInt *CI = dyn_cast<ConstantInt>(ReduxRoot->getOperand(1));
924 unsigned Idx = ~0u;
925 if (CI)
926 Idx = CI->getZExtValue();
927 if (Idx != 0)
928 return RK_None;
929
930 auto *RdxStart = dyn_cast<Instruction>(ReduxRoot->getOperand(0));
931 if (!RdxStart)
932 return RK_None;
933 Optional<ReductionData> RD = getReductionData(RdxStart);
934 if (!RD)
935 return RK_None;
936
937 Type *VecTy = RdxStart->getType();
938 unsigned NumVecElems = VecTy->getVectorNumElements();
939 if (!isPowerOf2_32(NumVecElems))
940 return RK_None;
941
942 // We look for a sequence of shuffle,shuffle,add triples like the following
943 // that builds a pairwise reduction tree.
944 //
945 // (X0, X1, X2, X3)
946 // (X0 + X1, X2 + X3, undef, undef)
947 // ((X0 + X1) + (X2 + X3), undef, undef, undef)
948 //
949 // %rdx.shuf.0.0 = shufflevector <4 x float> %rdx, <4 x float> undef,
950 // <4 x i32> <i32 0, i32 2 , i32 undef, i32 undef>
951 // %rdx.shuf.0.1 = shufflevector <4 x float> %rdx, <4 x float> undef,
952 // <4 x i32> <i32 1, i32 3, i32 undef, i32 undef>
953 // %bin.rdx.0 = fadd <4 x float> %rdx.shuf.0.0, %rdx.shuf.0.1
954 // %rdx.shuf.1.0 = shufflevector <4 x float> %bin.rdx.0, <4 x float> undef,
955 // <4 x i32> <i32 0, i32 undef, i32 undef, i32 undef>
956 // %rdx.shuf.1.1 = shufflevector <4 x float> %bin.rdx.0, <4 x float> undef,
957 // <4 x i32> <i32 1, i32 undef, i32 undef, i32 undef>
958 // %bin.rdx8 = fadd <4 x float> %rdx.shuf.1.0, %rdx.shuf.1.1
959 // %r = extractelement <4 x float> %bin.rdx8, i32 0
960 if (matchPairwiseReductionAtLevel(RdxStart, 0, Log2_32(NumVecElems)) ==
961 RK_None)
962 return RK_None;
963
964 Opcode = RD->Opcode;
965 Ty = VecTy;
966
967 return RD->Kind;
968}
969
970static std::pair<Value *, ShuffleVectorInst *>
971getShuffleAndOtherOprd(Value *L, Value *R) {
972 ShuffleVectorInst *S = nullptr;
973
974 if ((S = dyn_cast<ShuffleVectorInst>(L)))
975 return std::make_pair(R, S);
976
977 S = dyn_cast<ShuffleVectorInst>(R);
978 return std::make_pair(L, S);
979}
980
981static ReductionKind
982matchVectorSplittingReduction(const ExtractElementInst *ReduxRoot,
983 unsigned &Opcode, Type *&Ty) {
984 if (!EnableReduxCost)
985 return RK_None;
986
987 // Need to extract the first element.
988 ConstantInt *CI = dyn_cast<ConstantInt>(ReduxRoot->getOperand(1));
989 unsigned Idx = ~0u;
990 if (CI)
991 Idx = CI->getZExtValue();
992 if (Idx != 0)
993 return RK_None;
994
995 auto *RdxStart = dyn_cast<Instruction>(ReduxRoot->getOperand(0));
996 if (!RdxStart)
997 return RK_None;
998 Optional<ReductionData> RD = getReductionData(RdxStart);
999 if (!RD)
1000 return RK_None;
1001
1002 Type *VecTy = ReduxRoot->getOperand(0)->getType();
1003 unsigned NumVecElems = VecTy->getVectorNumElements();
1004 if (!isPowerOf2_32(NumVecElems))
1005 return RK_None;
1006
1007 // We look for a sequence of shuffles and adds like the following matching one
1008 // fadd, shuffle vector pair at a time.
1009 //
1010 // %rdx.shuf = shufflevector <4 x float> %rdx, <4 x float> undef,
1011 // <4 x i32> <i32 2, i32 3, i32 undef, i32 undef>
1012 // %bin.rdx = fadd <4 x float> %rdx, %rdx.shuf
1013 // %rdx.shuf7 = shufflevector <4 x float> %bin.rdx, <4 x float> undef,
1014 // <4 x i32> <i32 1, i32 undef, i32 undef, i32 undef>
1015 // %bin.rdx8 = fadd <4 x float> %bin.rdx, %rdx.shuf7
1016 // %r = extractelement <4 x float> %bin.rdx8, i32 0
1017
1018 unsigned MaskStart = 1;
1019 Instruction *RdxOp = RdxStart;
1020 SmallVector<int, 32> ShuffleMask(NumVecElems, 0);
1021 unsigned NumVecElemsRemain = NumVecElems;
1022 while (NumVecElemsRemain - 1) {
1023 // Check for the right reduction operation.
1024 if (!RdxOp)
1025 return RK_None;
1026 Optional<ReductionData> RDLevel = getReductionData(RdxOp);
1027 if (!RDLevel || !RDLevel->hasSameData(*RD))
1028 return RK_None;
1029
1030 Value *NextRdxOp;
1031 ShuffleVectorInst *Shuffle;
1032 std::tie(NextRdxOp, Shuffle) =
1033 getShuffleAndOtherOprd(RDLevel->LHS, RDLevel->RHS);
1034
1035 // Check the current reduction operation and the shuffle use the same value.
1036 if (Shuffle == nullptr)
1037 return RK_None;
1038 if (Shuffle->getOperand(0) != NextRdxOp)
1039 return RK_None;
1040
1041 // Check that shuffle masks matches.
1042 for (unsigned j = 0; j != MaskStart; ++j)
1043 ShuffleMask[j] = MaskStart + j;
1044 // Fill the rest of the mask with -1 for undef.
1045 std::fill(&ShuffleMask[MaskStart], ShuffleMask.end(), -1);
1046
1047 SmallVector<int, 16> Mask = Shuffle->getShuffleMask();
1048 if (ShuffleMask != Mask)
1049 return RK_None;
1050
1051 RdxOp = dyn_cast<Instruction>(NextRdxOp);
1052 NumVecElemsRemain /= 2;
1053 MaskStart *= 2;
1054 }
1055
1056 Opcode = RD->Opcode;
1057 Ty = VecTy;
1058 return RD->Kind;
1059}
1060
1061int TargetTransformInfo::getInstructionThroughput(const Instruction *I) const {
1062 switch (I->getOpcode()) {
1063 case Instruction::GetElementPtr:
1064 return getUserCost(I);
1065
1066 case Instruction::Ret:
1067 case Instruction::PHI:
1068 case Instruction::Br: {
1069 return getCFInstrCost(I->getOpcode());
1070 }
1071 case Instruction::Add:
1072 case Instruction::FAdd:
1073 case Instruction::Sub:
1074 case Instruction::FSub:
1075 case Instruction::Mul:
1076 case Instruction::FMul:
1077 case Instruction::UDiv:
1078 case Instruction::SDiv:
1079 case Instruction::FDiv:
1080 case Instruction::URem:
1081 case Instruction::SRem:
1082 case Instruction::FRem:
1083 case Instruction::Shl:
1084 case Instruction::LShr:
1085 case Instruction::AShr:
1086 case Instruction::And:
1087 case Instruction::Or:
1088 case Instruction::Xor: {
1089 TargetTransformInfo::OperandValueKind Op1VK =
1090 getOperandInfo(I->getOperand(0));
1091 TargetTransformInfo::OperandValueKind Op2VK =
1092 getOperandInfo(I->getOperand(1));
1093 SmallVector<const Value*, 2> Operands(I->operand_values());
1094 return getArithmeticInstrCost(I->getOpcode(), I->getType(), Op1VK,
1095 Op2VK, TargetTransformInfo::OP_None,
1096 TargetTransformInfo::OP_None,
1097 Operands);
1098 }
1099 case Instruction::Select: {
1100 const SelectInst *SI = cast<SelectInst>(I);
1101 Type *CondTy = SI->getCondition()->getType();
1102 return getCmpSelInstrCost(I->getOpcode(), I->getType(), CondTy, I);
1103 }
1104 case Instruction::ICmp:
1105 case Instruction::FCmp: {
1106 Type *ValTy = I->getOperand(0)->getType();
1107 return getCmpSelInstrCost(I->getOpcode(), ValTy, I->getType(), I);
1108 }
1109 case Instruction::Store: {
1110 const StoreInst *SI = cast<StoreInst>(I);
1111 Type *ValTy = SI->getValueOperand()->getType();
1112 return getMemoryOpCost(I->getOpcode(), ValTy,
1113 SI->getAlignment(),
1114 SI->getPointerAddressSpace(), I);
1115 }
1116 case Instruction::Load: {
1117 const LoadInst *LI = cast<LoadInst>(I);
1118 return getMemoryOpCost(I->getOpcode(), I->getType(),
1119 LI->getAlignment(),
1120 LI->getPointerAddressSpace(), I);
1121 }
1122 case Instruction::ZExt:
1123 case Instruction::SExt:
1124 case Instruction::FPToUI:
1125 case Instruction::FPToSI:
1126 case Instruction::FPExt:
1127 case Instruction::PtrToInt:
1128 case Instruction::IntToPtr:
1129 case Instruction::SIToFP:
1130 case Instruction::UIToFP:
1131 case Instruction::Trunc:
1132 case Instruction::FPTrunc:
1133 case Instruction::BitCast:
1134 case Instruction::AddrSpaceCast: {
1135 Type *SrcTy = I->getOperand(0)->getType();
1136 return getCastInstrCost(I->getOpcode(), I->getType(), SrcTy, I);
1137 }
1138 case Instruction::ExtractElement: {
1139 const ExtractElementInst * EEI = cast<ExtractElementInst>(I);
1140 ConstantInt *CI = dyn_cast<ConstantInt>(I->getOperand(1));
1141 unsigned Idx = -1;
1142 if (CI)
1143 Idx = CI->getZExtValue();
1144
1145 // Try to match a reduction sequence (series of shufflevector and vector
1146 // adds followed by a extractelement).
1147 unsigned ReduxOpCode;
1148 Type *ReduxType;
1149
1150 switch (matchVectorSplittingReduction(EEI, ReduxOpCode, ReduxType)) {
1151 case RK_Arithmetic:
1152 return getArithmeticReductionCost(ReduxOpCode, ReduxType,
1153 /*IsPairwiseForm=*/false);
1154 case RK_MinMax:
1155 return getMinMaxReductionCost(
1156 ReduxType, CmpInst::makeCmpResultType(ReduxType),
1157 /*IsPairwiseForm=*/false, /*IsUnsigned=*/false);
1158 case RK_UnsignedMinMax:
1159 return getMinMaxReductionCost(
1160 ReduxType, CmpInst::makeCmpResultType(ReduxType),
1161 /*IsPairwiseForm=*/false, /*IsUnsigned=*/true);
1162 case RK_None:
1163 break;
1164 }
1165
1166 switch (matchPairwiseReduction(EEI, ReduxOpCode, ReduxType)) {
1167 case RK_Arithmetic:
1168 return getArithmeticReductionCost(ReduxOpCode, ReduxType,
1169 /*IsPairwiseForm=*/true);
1170 case RK_MinMax:
1171 return getMinMaxReductionCost(
1172 ReduxType, CmpInst::makeCmpResultType(ReduxType),
1173 /*IsPairwiseForm=*/true, /*IsUnsigned=*/false);
1174 case RK_UnsignedMinMax:
1175 return getMinMaxReductionCost(
1176 ReduxType, CmpInst::makeCmpResultType(ReduxType),
1177 /*IsPairwiseForm=*/true, /*IsUnsigned=*/true);
1178 case RK_None:
1179 break;
1180 }
1181
1182 return getVectorInstrCost(I->getOpcode(),
1183 EEI->getOperand(0)->getType(), Idx);
1184 }
1185 case Instruction::InsertElement: {
1186 const InsertElementInst * IE = cast<InsertElementInst>(I);
1187 ConstantInt *CI = dyn_cast<ConstantInt>(IE->getOperand(2));
1188 unsigned Idx = -1;
1189 if (CI)
1190 Idx = CI->getZExtValue();
1191 return getVectorInstrCost(I->getOpcode(),
1192 IE->getType(), Idx);
1193 }
1194 case Instruction::ShuffleVector: {
1195 const ShuffleVectorInst *Shuffle = cast<ShuffleVectorInst>(I);
1196 Type *VecTypOp0 = Shuffle->getOperand(0)->getType();
1197 unsigned NumVecElems = VecTypOp0->getVectorNumElements();
1198 SmallVector<int, 16> Mask = Shuffle->getShuffleMask();
1199
1200 if (NumVecElems == Mask.size()) {
1201 if (isReverseVectorMask(Mask))
Matthew Simpsonb4096eb2018-04-26 13:48:33 +00001202 return TTIImpl->getShuffleCost(TargetTransformInfo::SK_Reverse,
1203 VecTypOp0, 0, nullptr);
Guozhi Wei62d64142017-09-08 22:29:17 +00001204 if (isAlternateVectorMask(Mask))
Matthew Simpsonb4096eb2018-04-26 13:48:33 +00001205 return TTIImpl->getShuffleCost(TargetTransformInfo::SK_Alternate,
1206 VecTypOp0, 0, nullptr);
1207
1208 if (isTransposeVectorMask(Mask))
1209 return TTIImpl->getShuffleCost(TargetTransformInfo::SK_Transpose,
1210 VecTypOp0, 0, nullptr);
Guozhi Wei62d64142017-09-08 22:29:17 +00001211
1212 if (isZeroEltBroadcastVectorMask(Mask))
Matthew Simpsonb4096eb2018-04-26 13:48:33 +00001213 return TTIImpl->getShuffleCost(TargetTransformInfo::SK_Broadcast,
1214 VecTypOp0, 0, nullptr);
Guozhi Wei62d64142017-09-08 22:29:17 +00001215
1216 if (isSingleSourceVectorMask(Mask))
Matthew Simpsonb4096eb2018-04-26 13:48:33 +00001217 return TTIImpl->getShuffleCost(TargetTransformInfo::SK_PermuteSingleSrc,
1218 VecTypOp0, 0, nullptr);
Guozhi Wei62d64142017-09-08 22:29:17 +00001219
Matthew Simpsonb4096eb2018-04-26 13:48:33 +00001220 return TTIImpl->getShuffleCost(TargetTransformInfo::SK_PermuteTwoSrc,
1221 VecTypOp0, 0, nullptr);
Guozhi Wei62d64142017-09-08 22:29:17 +00001222 }
1223
1224 return -1;
1225 }
1226 case Instruction::Call:
1227 if (const IntrinsicInst *II = dyn_cast<IntrinsicInst>(I)) {
1228 SmallVector<Value *, 4> Args(II->arg_operands());
1229
1230 FastMathFlags FMF;
1231 if (auto *FPMO = dyn_cast<FPMathOperator>(II))
1232 FMF = FPMO->getFastMathFlags();
1233
1234 return getIntrinsicInstrCost(II->getIntrinsicID(), II->getType(),
1235 Args, FMF);
1236 }
1237 return -1;
1238 default:
1239 // We don't have any information on this instruction.
1240 return -1;
1241 }
1242}
1243
Chandler Carruth705b1852015-01-31 03:43:40 +00001244TargetTransformInfo::Concept::~Concept() {}
1245
Chandler Carruthe0385522015-02-01 10:11:22 +00001246TargetIRAnalysis::TargetIRAnalysis() : TTICallback(&getDefaultTTI) {}
1247
1248TargetIRAnalysis::TargetIRAnalysis(
Eric Christophera4e5d3c2015-09-16 23:38:13 +00001249 std::function<Result(const Function &)> TTICallback)
Benjamin Kramer82de7d32016-05-27 14:27:24 +00001250 : TTICallback(std::move(TTICallback)) {}
Chandler Carruthe0385522015-02-01 10:11:22 +00001251
Chandler Carruth164a2aa62016-06-17 00:11:01 +00001252TargetIRAnalysis::Result TargetIRAnalysis::run(const Function &F,
Sean Silva36e0d012016-08-09 00:28:15 +00001253 FunctionAnalysisManager &) {
Chandler Carruthe0385522015-02-01 10:11:22 +00001254 return TTICallback(F);
1255}
1256
Chandler Carruthdab4eae2016-11-23 17:53:26 +00001257AnalysisKey TargetIRAnalysis::Key;
NAKAMURA Takumidf0cd722016-02-28 17:17:00 +00001258
Eric Christophera4e5d3c2015-09-16 23:38:13 +00001259TargetIRAnalysis::Result TargetIRAnalysis::getDefaultTTI(const Function &F) {
Mehdi Amini5010ebf2015-07-09 02:08:42 +00001260 return Result(F.getParent()->getDataLayout());
Chandler Carruthe0385522015-02-01 10:11:22 +00001261}
1262
Chandler Carruth705b1852015-01-31 03:43:40 +00001263// Register the basic pass.
1264INITIALIZE_PASS(TargetTransformInfoWrapperPass, "tti",
1265 "Target Transform Information", false, true)
1266char TargetTransformInfoWrapperPass::ID = 0;
Chandler Carruth539edf42013-01-05 11:43:11 +00001267
Chandler Carruth705b1852015-01-31 03:43:40 +00001268void TargetTransformInfoWrapperPass::anchor() {}
Chandler Carruth539edf42013-01-05 11:43:11 +00001269
Chandler Carruth705b1852015-01-31 03:43:40 +00001270TargetTransformInfoWrapperPass::TargetTransformInfoWrapperPass()
Chandler Carruth5ec2b1d2015-02-01 12:26:09 +00001271 : ImmutablePass(ID) {
Chandler Carruth705b1852015-01-31 03:43:40 +00001272 initializeTargetTransformInfoWrapperPassPass(
1273 *PassRegistry::getPassRegistry());
1274}
1275
1276TargetTransformInfoWrapperPass::TargetTransformInfoWrapperPass(
Chandler Carruth5ec2b1d2015-02-01 12:26:09 +00001277 TargetIRAnalysis TIRA)
1278 : ImmutablePass(ID), TIRA(std::move(TIRA)) {
Chandler Carruth705b1852015-01-31 03:43:40 +00001279 initializeTargetTransformInfoWrapperPassPass(
1280 *PassRegistry::getPassRegistry());
1281}
1282
Eric Christophera4e5d3c2015-09-16 23:38:13 +00001283TargetTransformInfo &TargetTransformInfoWrapperPass::getTTI(const Function &F) {
Sean Silva36e0d012016-08-09 00:28:15 +00001284 FunctionAnalysisManager DummyFAM;
Chandler Carruth164a2aa62016-06-17 00:11:01 +00001285 TTI = TIRA.run(F, DummyFAM);
Chandler Carruth5ec2b1d2015-02-01 12:26:09 +00001286 return *TTI;
1287}
1288
Chandler Carruth93dcdc42015-01-31 11:17:59 +00001289ImmutablePass *
Chandler Carruth5ec2b1d2015-02-01 12:26:09 +00001290llvm::createTargetTransformInfoWrapperPass(TargetIRAnalysis TIRA) {
1291 return new TargetTransformInfoWrapperPass(std::move(TIRA));
Chandler Carruth539edf42013-01-05 11:43:11 +00001292}