1 //===- ARMTargetTransformInfo.cpp - ARM specific TTI ----------------------===// 2 // 3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. 4 // See https://llvm.org/LICENSE.txt for license information. 5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception 6 // 7 //===----------------------------------------------------------------------===// 8 9 #include "ARMTargetTransformInfo.h" 10 #include "ARMSubtarget.h" 11 #include "MCTargetDesc/ARMAddressingModes.h" 12 #include "llvm/ADT/APInt.h" 13 #include "llvm/ADT/SmallVector.h" 14 #include "llvm/Analysis/LoopInfo.h" 15 #include "llvm/CodeGen/CostTable.h" 16 #include "llvm/CodeGen/ISDOpcodes.h" 17 #include "llvm/CodeGen/ValueTypes.h" 18 #include "llvm/IR/BasicBlock.h" 19 #include "llvm/IR/DataLayout.h" 20 #include "llvm/IR/DerivedTypes.h" 21 #include "llvm/IR/Instruction.h" 22 #include "llvm/IR/Instructions.h" 23 #include "llvm/IR/IntrinsicInst.h" 24 #include "llvm/IR/IntrinsicsARM.h" 25 #include "llvm/IR/PatternMatch.h" 26 #include "llvm/IR/Type.h" 27 #include "llvm/MC/SubtargetFeature.h" 28 #include "llvm/Support/Casting.h" 29 #include "llvm/Support/MachineValueType.h" 30 #include "llvm/Target/TargetMachine.h" 31 #include "llvm/Transforms/InstCombine/InstCombiner.h" 32 #include "llvm/Transforms/Utils/Local.h" 33 #include "llvm/Transforms/Utils/LoopUtils.h" 34 #include <algorithm> 35 #include <cassert> 36 #include <cstdint> 37 #include <utility> 38 39 using namespace llvm; 40 41 #define DEBUG_TYPE "armtti" 42 43 static cl::opt<bool> EnableMaskedLoadStores( 44 "enable-arm-maskedldst", cl::Hidden, cl::init(true), 45 cl::desc("Enable the generation of masked loads and stores")); 46 47 static cl::opt<bool> DisableLowOverheadLoops( 48 "disable-arm-loloops", cl::Hidden, cl::init(false), 49 cl::desc("Disable the generation of low-overhead loops")); 50 51 extern cl::opt<TailPredication::Mode> EnableTailPredication; 52 53 extern cl::opt<bool> EnableMaskedGatherScatters; 54 55 extern cl::opt<unsigned> MVEMaxSupportedInterleaveFactor; 56 57 /// Convert a vector load intrinsic into a simple llvm load instruction. 58 /// This is beneficial when the underlying object being addressed comes 59 /// from a constant, since we get constant-folding for free. 60 static Value *simplifyNeonVld1(const IntrinsicInst &II, unsigned MemAlign, 61 InstCombiner::BuilderTy &Builder) { 62 auto *IntrAlign = dyn_cast<ConstantInt>(II.getArgOperand(1)); 63 64 if (!IntrAlign) 65 return nullptr; 66 67 unsigned Alignment = IntrAlign->getLimitedValue() < MemAlign 68 ? MemAlign 69 : IntrAlign->getLimitedValue(); 70 71 if (!isPowerOf2_32(Alignment)) 72 return nullptr; 73 74 auto *BCastInst = Builder.CreateBitCast(II.getArgOperand(0), 75 PointerType::get(II.getType(), 0)); 76 return Builder.CreateAlignedLoad(II.getType(), BCastInst, Align(Alignment)); 77 } 78 79 bool ARMTTIImpl::areInlineCompatible(const Function *Caller, 80 const Function *Callee) const { 81 const TargetMachine &TM = getTLI()->getTargetMachine(); 82 const FeatureBitset &CallerBits = 83 TM.getSubtargetImpl(*Caller)->getFeatureBits(); 84 const FeatureBitset &CalleeBits = 85 TM.getSubtargetImpl(*Callee)->getFeatureBits(); 86 87 // To inline a callee, all features not in the allowed list must match exactly. 88 bool MatchExact = (CallerBits & ~InlineFeaturesAllowed) == 89 (CalleeBits & ~InlineFeaturesAllowed); 90 // For features in the allowed list, the callee's features must be a subset of 91 // the callers'. 92 bool MatchSubset = ((CallerBits & CalleeBits) & InlineFeaturesAllowed) == 93 (CalleeBits & InlineFeaturesAllowed); 94 return MatchExact && MatchSubset; 95 } 96 97 bool ARMTTIImpl::shouldFavorBackedgeIndex(const Loop *L) const { 98 if (L->getHeader()->getParent()->hasOptSize()) 99 return false; 100 if (ST->hasMVEIntegerOps()) 101 return false; 102 return ST->isMClass() && ST->isThumb2() && L->getNumBlocks() == 1; 103 } 104 105 bool ARMTTIImpl::shouldFavorPostInc() const { 106 if (ST->hasMVEIntegerOps()) 107 return true; 108 return false; 109 } 110 111 Optional<Instruction *> 112 ARMTTIImpl::instCombineIntrinsic(InstCombiner &IC, IntrinsicInst &II) const { 113 using namespace PatternMatch; 114 Intrinsic::ID IID = II.getIntrinsicID(); 115 switch (IID) { 116 default: 117 break; 118 case Intrinsic::arm_neon_vld1: { 119 Align MemAlign = 120 getKnownAlignment(II.getArgOperand(0), IC.getDataLayout(), &II, 121 &IC.getAssumptionCache(), &IC.getDominatorTree()); 122 if (Value *V = simplifyNeonVld1(II, MemAlign.value(), IC.Builder)) { 123 return IC.replaceInstUsesWith(II, V); 124 } 125 break; 126 } 127 128 case Intrinsic::arm_neon_vld2: 129 case Intrinsic::arm_neon_vld3: 130 case Intrinsic::arm_neon_vld4: 131 case Intrinsic::arm_neon_vld2lane: 132 case Intrinsic::arm_neon_vld3lane: 133 case Intrinsic::arm_neon_vld4lane: 134 case Intrinsic::arm_neon_vst1: 135 case Intrinsic::arm_neon_vst2: 136 case Intrinsic::arm_neon_vst3: 137 case Intrinsic::arm_neon_vst4: 138 case Intrinsic::arm_neon_vst2lane: 139 case Intrinsic::arm_neon_vst3lane: 140 case Intrinsic::arm_neon_vst4lane: { 141 Align MemAlign = 142 getKnownAlignment(II.getArgOperand(0), IC.getDataLayout(), &II, 143 &IC.getAssumptionCache(), &IC.getDominatorTree()); 144 unsigned AlignArg = II.getNumArgOperands() - 1; 145 Value *AlignArgOp = II.getArgOperand(AlignArg); 146 MaybeAlign Align = cast<ConstantInt>(AlignArgOp)->getMaybeAlignValue(); 147 if (Align && *Align < MemAlign) { 148 return IC.replaceOperand( 149 II, AlignArg, 150 ConstantInt::get(Type::getInt32Ty(II.getContext()), MemAlign.value(), 151 false)); 152 } 153 break; 154 } 155 156 case Intrinsic::arm_mve_pred_i2v: { 157 Value *Arg = II.getArgOperand(0); 158 Value *ArgArg; 159 if (match(Arg, PatternMatch::m_Intrinsic<Intrinsic::arm_mve_pred_v2i>( 160 PatternMatch::m_Value(ArgArg))) && 161 II.getType() == ArgArg->getType()) { 162 return IC.replaceInstUsesWith(II, ArgArg); 163 } 164 Constant *XorMask; 165 if (match(Arg, m_Xor(PatternMatch::m_Intrinsic<Intrinsic::arm_mve_pred_v2i>( 166 PatternMatch::m_Value(ArgArg)), 167 PatternMatch::m_Constant(XorMask))) && 168 II.getType() == ArgArg->getType()) { 169 if (auto *CI = dyn_cast<ConstantInt>(XorMask)) { 170 if (CI->getValue().trunc(16).isAllOnesValue()) { 171 auto TrueVector = IC.Builder.CreateVectorSplat( 172 cast<FixedVectorType>(II.getType())->getNumElements(), 173 IC.Builder.getTrue()); 174 return BinaryOperator::Create(Instruction::Xor, ArgArg, TrueVector); 175 } 176 } 177 } 178 KnownBits ScalarKnown(32); 179 if (IC.SimplifyDemandedBits(&II, 0, APInt::getLowBitsSet(32, 16), 180 ScalarKnown, 0)) { 181 return &II; 182 } 183 break; 184 } 185 case Intrinsic::arm_mve_pred_v2i: { 186 Value *Arg = II.getArgOperand(0); 187 Value *ArgArg; 188 if (match(Arg, PatternMatch::m_Intrinsic<Intrinsic::arm_mve_pred_i2v>( 189 PatternMatch::m_Value(ArgArg)))) { 190 return IC.replaceInstUsesWith(II, ArgArg); 191 } 192 if (!II.getMetadata(LLVMContext::MD_range)) { 193 Type *IntTy32 = Type::getInt32Ty(II.getContext()); 194 Metadata *M[] = { 195 ConstantAsMetadata::get(ConstantInt::get(IntTy32, 0)), 196 ConstantAsMetadata::get(ConstantInt::get(IntTy32, 0xFFFF))}; 197 II.setMetadata(LLVMContext::MD_range, MDNode::get(II.getContext(), M)); 198 return &II; 199 } 200 break; 201 } 202 case Intrinsic::arm_mve_vadc: 203 case Intrinsic::arm_mve_vadc_predicated: { 204 unsigned CarryOp = 205 (II.getIntrinsicID() == Intrinsic::arm_mve_vadc_predicated) ? 3 : 2; 206 assert(II.getArgOperand(CarryOp)->getType()->getScalarSizeInBits() == 32 && 207 "Bad type for intrinsic!"); 208 209 KnownBits CarryKnown(32); 210 if (IC.SimplifyDemandedBits(&II, CarryOp, APInt::getOneBitSet(32, 29), 211 CarryKnown)) { 212 return &II; 213 } 214 break; 215 } 216 case Intrinsic::arm_mve_vmldava: { 217 Instruction *I = cast<Instruction>(&II); 218 if (I->hasOneUse()) { 219 auto *User = cast<Instruction>(*I->user_begin()); 220 Value *OpZ; 221 if (match(User, m_c_Add(m_Specific(I), m_Value(OpZ))) && 222 match(I->getOperand(3), m_Zero())) { 223 Value *OpX = I->getOperand(4); 224 Value *OpY = I->getOperand(5); 225 Type *OpTy = OpX->getType(); 226 227 IC.Builder.SetInsertPoint(User); 228 Value *V = 229 IC.Builder.CreateIntrinsic(Intrinsic::arm_mve_vmldava, {OpTy}, 230 {I->getOperand(0), I->getOperand(1), 231 I->getOperand(2), OpZ, OpX, OpY}); 232 233 IC.replaceInstUsesWith(*User, V); 234 return IC.eraseInstFromFunction(*User); 235 } 236 } 237 return None; 238 } 239 } 240 return None; 241 } 242 243 int ARMTTIImpl::getIntImmCost(const APInt &Imm, Type *Ty, 244 TTI::TargetCostKind CostKind) { 245 assert(Ty->isIntegerTy()); 246 247 unsigned Bits = Ty->getPrimitiveSizeInBits(); 248 if (Bits == 0 || Imm.getActiveBits() >= 64) 249 return 4; 250 251 int64_t SImmVal = Imm.getSExtValue(); 252 uint64_t ZImmVal = Imm.getZExtValue(); 253 if (!ST->isThumb()) { 254 if ((SImmVal >= 0 && SImmVal < 65536) || 255 (ARM_AM::getSOImmVal(ZImmVal) != -1) || 256 (ARM_AM::getSOImmVal(~ZImmVal) != -1)) 257 return 1; 258 return ST->hasV6T2Ops() ? 2 : 3; 259 } 260 if (ST->isThumb2()) { 261 if ((SImmVal >= 0 && SImmVal < 65536) || 262 (ARM_AM::getT2SOImmVal(ZImmVal) != -1) || 263 (ARM_AM::getT2SOImmVal(~ZImmVal) != -1)) 264 return 1; 265 return ST->hasV6T2Ops() ? 2 : 3; 266 } 267 // Thumb1, any i8 imm cost 1. 268 if (Bits == 8 || (SImmVal >= 0 && SImmVal < 256)) 269 return 1; 270 if ((~SImmVal < 256) || ARM_AM::isThumbImmShiftedVal(ZImmVal)) 271 return 2; 272 // Load from constantpool. 273 return 3; 274 } 275 276 // Constants smaller than 256 fit in the immediate field of 277 // Thumb1 instructions so we return a zero cost and 1 otherwise. 278 int ARMTTIImpl::getIntImmCodeSizeCost(unsigned Opcode, unsigned Idx, 279 const APInt &Imm, Type *Ty) { 280 if (Imm.isNonNegative() && Imm.getLimitedValue() < 256) 281 return 0; 282 283 return 1; 284 } 285 286 int ARMTTIImpl::getIntImmCostInst(unsigned Opcode, unsigned Idx, const APInt &Imm, 287 Type *Ty, TTI::TargetCostKind CostKind) { 288 // Division by a constant can be turned into multiplication, but only if we 289 // know it's constant. So it's not so much that the immediate is cheap (it's 290 // not), but that the alternative is worse. 291 // FIXME: this is probably unneeded with GlobalISel. 292 if ((Opcode == Instruction::SDiv || Opcode == Instruction::UDiv || 293 Opcode == Instruction::SRem || Opcode == Instruction::URem) && 294 Idx == 1) 295 return 0; 296 297 if (Opcode == Instruction::And) { 298 // UXTB/UXTH 299 if (Imm == 255 || Imm == 65535) 300 return 0; 301 // Conversion to BIC is free, and means we can use ~Imm instead. 302 return std::min(getIntImmCost(Imm, Ty, CostKind), 303 getIntImmCost(~Imm, Ty, CostKind)); 304 } 305 306 if (Opcode == Instruction::Add) 307 // Conversion to SUB is free, and means we can use -Imm instead. 308 return std::min(getIntImmCost(Imm, Ty, CostKind), 309 getIntImmCost(-Imm, Ty, CostKind)); 310 311 if (Opcode == Instruction::ICmp && Imm.isNegative() && 312 Ty->getIntegerBitWidth() == 32) { 313 int64_t NegImm = -Imm.getSExtValue(); 314 if (ST->isThumb2() && NegImm < 1<<12) 315 // icmp X, #-C -> cmn X, #C 316 return 0; 317 if (ST->isThumb() && NegImm < 1<<8) 318 // icmp X, #-C -> adds X, #C 319 return 0; 320 } 321 322 // xor a, -1 can always be folded to MVN 323 if (Opcode == Instruction::Xor && Imm.isAllOnesValue()) 324 return 0; 325 326 return getIntImmCost(Imm, Ty, CostKind); 327 } 328 329 int ARMTTIImpl::getCFInstrCost(unsigned Opcode, TTI::TargetCostKind CostKind) { 330 if (CostKind == TTI::TCK_RecipThroughput && 331 (ST->hasNEON() || ST->hasMVEIntegerOps())) { 332 // FIXME: The vectorizer is highly sensistive to the cost of these 333 // instructions, which suggests that it may be using the costs incorrectly. 334 // But, for now, just make them free to avoid performance regressions for 335 // vector targets. 336 return 0; 337 } 338 return BaseT::getCFInstrCost(Opcode, CostKind); 339 } 340 341 int ARMTTIImpl::getCastInstrCost(unsigned Opcode, Type *Dst, Type *Src, 342 TTI::CastContextHint CCH, 343 TTI::TargetCostKind CostKind, 344 const Instruction *I) { 345 int ISD = TLI->InstructionOpcodeToISD(Opcode); 346 assert(ISD && "Invalid opcode"); 347 348 // TODO: Allow non-throughput costs that aren't binary. 349 auto AdjustCost = [&CostKind](int Cost) { 350 if (CostKind != TTI::TCK_RecipThroughput) 351 return Cost == 0 ? 0 : 1; 352 return Cost; 353 }; 354 auto IsLegalFPType = [this](EVT VT) { 355 EVT EltVT = VT.getScalarType(); 356 return (EltVT == MVT::f32 && ST->hasVFP2Base()) || 357 (EltVT == MVT::f64 && ST->hasFP64()) || 358 (EltVT == MVT::f16 && ST->hasFullFP16()); 359 }; 360 361 EVT SrcTy = TLI->getValueType(DL, Src); 362 EVT DstTy = TLI->getValueType(DL, Dst); 363 364 if (!SrcTy.isSimple() || !DstTy.isSimple()) 365 return AdjustCost( 366 BaseT::getCastInstrCost(Opcode, Dst, Src, CCH, CostKind, I)); 367 368 // Extending masked load/Truncating masked stores is expensive because we 369 // currently don't split them. This means that we'll likely end up 370 // loading/storing each element individually (hence the high cost). 371 if ((ST->hasMVEIntegerOps() && 372 (Opcode == Instruction::Trunc || Opcode == Instruction::ZExt || 373 Opcode == Instruction::SExt)) || 374 (ST->hasMVEFloatOps() && 375 (Opcode == Instruction::FPExt || Opcode == Instruction::FPTrunc) && 376 IsLegalFPType(SrcTy) && IsLegalFPType(DstTy))) 377 if (CCH == TTI::CastContextHint::Masked && DstTy.getSizeInBits() > 128) 378 return 2 * DstTy.getVectorNumElements() * ST->getMVEVectorCostFactor(); 379 380 // The extend of other kinds of load is free 381 if (CCH == TTI::CastContextHint::Normal || 382 CCH == TTI::CastContextHint::Masked) { 383 static const TypeConversionCostTblEntry LoadConversionTbl[] = { 384 {ISD::SIGN_EXTEND, MVT::i32, MVT::i16, 0}, 385 {ISD::ZERO_EXTEND, MVT::i32, MVT::i16, 0}, 386 {ISD::SIGN_EXTEND, MVT::i32, MVT::i8, 0}, 387 {ISD::ZERO_EXTEND, MVT::i32, MVT::i8, 0}, 388 {ISD::SIGN_EXTEND, MVT::i16, MVT::i8, 0}, 389 {ISD::ZERO_EXTEND, MVT::i16, MVT::i8, 0}, 390 {ISD::SIGN_EXTEND, MVT::i64, MVT::i32, 1}, 391 {ISD::ZERO_EXTEND, MVT::i64, MVT::i32, 1}, 392 {ISD::SIGN_EXTEND, MVT::i64, MVT::i16, 1}, 393 {ISD::ZERO_EXTEND, MVT::i64, MVT::i16, 1}, 394 {ISD::SIGN_EXTEND, MVT::i64, MVT::i8, 1}, 395 {ISD::ZERO_EXTEND, MVT::i64, MVT::i8, 1}, 396 }; 397 if (const auto *Entry = ConvertCostTableLookup( 398 LoadConversionTbl, ISD, DstTy.getSimpleVT(), SrcTy.getSimpleVT())) 399 return AdjustCost(Entry->Cost); 400 401 static const TypeConversionCostTblEntry MVELoadConversionTbl[] = { 402 {ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i16, 0}, 403 {ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i16, 0}, 404 {ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i8, 0}, 405 {ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i8, 0}, 406 {ISD::SIGN_EXTEND, MVT::v8i16, MVT::v8i8, 0}, 407 {ISD::ZERO_EXTEND, MVT::v8i16, MVT::v8i8, 0}, 408 // The following extend from a legal type to an illegal type, so need to 409 // split the load. This introduced an extra load operation, but the 410 // extend is still "free". 411 {ISD::SIGN_EXTEND, MVT::v8i32, MVT::v8i16, 1}, 412 {ISD::ZERO_EXTEND, MVT::v8i32, MVT::v8i16, 1}, 413 {ISD::SIGN_EXTEND, MVT::v16i32, MVT::v16i8, 3}, 414 {ISD::ZERO_EXTEND, MVT::v16i32, MVT::v16i8, 3}, 415 {ISD::SIGN_EXTEND, MVT::v16i16, MVT::v16i8, 1}, 416 {ISD::ZERO_EXTEND, MVT::v16i16, MVT::v16i8, 1}, 417 }; 418 if (SrcTy.isVector() && ST->hasMVEIntegerOps()) { 419 if (const auto *Entry = 420 ConvertCostTableLookup(MVELoadConversionTbl, ISD, 421 DstTy.getSimpleVT(), SrcTy.getSimpleVT())) 422 return AdjustCost(Entry->Cost * ST->getMVEVectorCostFactor()); 423 } 424 425 static const TypeConversionCostTblEntry MVEFLoadConversionTbl[] = { 426 // FPExtends are similar but also require the VCVT instructions. 427 {ISD::FP_EXTEND, MVT::v4f32, MVT::v4f16, 1}, 428 {ISD::FP_EXTEND, MVT::v8f32, MVT::v8f16, 3}, 429 }; 430 if (SrcTy.isVector() && ST->hasMVEFloatOps()) { 431 if (const auto *Entry = 432 ConvertCostTableLookup(MVEFLoadConversionTbl, ISD, 433 DstTy.getSimpleVT(), SrcTy.getSimpleVT())) 434 return AdjustCost(Entry->Cost * ST->getMVEVectorCostFactor()); 435 } 436 437 // The truncate of a store is free. This is the mirror of extends above. 438 static const TypeConversionCostTblEntry MVEStoreConversionTbl[] = { 439 {ISD::TRUNCATE, MVT::v4i32, MVT::v4i16, 0}, 440 {ISD::TRUNCATE, MVT::v4i32, MVT::v4i8, 0}, 441 {ISD::TRUNCATE, MVT::v8i16, MVT::v8i8, 0}, 442 {ISD::TRUNCATE, MVT::v8i32, MVT::v8i16, 1}, 443 {ISD::TRUNCATE, MVT::v16i32, MVT::v16i8, 3}, 444 {ISD::TRUNCATE, MVT::v16i16, MVT::v16i8, 1}, 445 }; 446 if (SrcTy.isVector() && ST->hasMVEIntegerOps()) { 447 if (const auto *Entry = 448 ConvertCostTableLookup(MVEStoreConversionTbl, ISD, 449 SrcTy.getSimpleVT(), DstTy.getSimpleVT())) 450 return AdjustCost(Entry->Cost * ST->getMVEVectorCostFactor()); 451 } 452 453 static const TypeConversionCostTblEntry MVEFStoreConversionTbl[] = { 454 {ISD::FP_ROUND, MVT::v4f32, MVT::v4f16, 1}, 455 {ISD::FP_ROUND, MVT::v8f32, MVT::v8f16, 3}, 456 }; 457 if (SrcTy.isVector() && ST->hasMVEFloatOps()) { 458 if (const auto *Entry = 459 ConvertCostTableLookup(MVEFStoreConversionTbl, ISD, 460 SrcTy.getSimpleVT(), DstTy.getSimpleVT())) 461 return AdjustCost(Entry->Cost * ST->getMVEVectorCostFactor()); 462 } 463 } 464 465 // NEON vector operations that can extend their inputs. 466 if ((ISD == ISD::SIGN_EXTEND || ISD == ISD::ZERO_EXTEND) && 467 I && I->hasOneUse() && ST->hasNEON() && SrcTy.isVector()) { 468 static const TypeConversionCostTblEntry NEONDoubleWidthTbl[] = { 469 // vaddl 470 { ISD::ADD, MVT::v4i32, MVT::v4i16, 0 }, 471 { ISD::ADD, MVT::v8i16, MVT::v8i8, 0 }, 472 // vsubl 473 { ISD::SUB, MVT::v4i32, MVT::v4i16, 0 }, 474 { ISD::SUB, MVT::v8i16, MVT::v8i8, 0 }, 475 // vmull 476 { ISD::MUL, MVT::v4i32, MVT::v4i16, 0 }, 477 { ISD::MUL, MVT::v8i16, MVT::v8i8, 0 }, 478 // vshll 479 { ISD::SHL, MVT::v4i32, MVT::v4i16, 0 }, 480 { ISD::SHL, MVT::v8i16, MVT::v8i8, 0 }, 481 }; 482 483 auto *User = cast<Instruction>(*I->user_begin()); 484 int UserISD = TLI->InstructionOpcodeToISD(User->getOpcode()); 485 if (auto *Entry = ConvertCostTableLookup(NEONDoubleWidthTbl, UserISD, 486 DstTy.getSimpleVT(), 487 SrcTy.getSimpleVT())) { 488 return AdjustCost(Entry->Cost); 489 } 490 } 491 492 // Single to/from double precision conversions. 493 if (Src->isVectorTy() && ST->hasNEON() && 494 ((ISD == ISD::FP_ROUND && SrcTy.getScalarType() == MVT::f64 && 495 DstTy.getScalarType() == MVT::f32) || 496 (ISD == ISD::FP_EXTEND && SrcTy.getScalarType() == MVT::f32 && 497 DstTy.getScalarType() == MVT::f64))) { 498 static const CostTblEntry NEONFltDblTbl[] = { 499 // Vector fptrunc/fpext conversions. 500 {ISD::FP_ROUND, MVT::v2f64, 2}, 501 {ISD::FP_EXTEND, MVT::v2f32, 2}, 502 {ISD::FP_EXTEND, MVT::v4f32, 4}}; 503 504 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Src); 505 if (const auto *Entry = CostTableLookup(NEONFltDblTbl, ISD, LT.second)) 506 return AdjustCost(LT.first * Entry->Cost); 507 } 508 509 // Some arithmetic, load and store operations have specific instructions 510 // to cast up/down their types automatically at no extra cost. 511 // TODO: Get these tables to know at least what the related operations are. 512 static const TypeConversionCostTblEntry NEONVectorConversionTbl[] = { 513 { ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i16, 1 }, 514 { ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i16, 1 }, 515 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i32, 1 }, 516 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i32, 1 }, 517 { ISD::TRUNCATE, MVT::v4i32, MVT::v4i64, 0 }, 518 { ISD::TRUNCATE, MVT::v4i16, MVT::v4i32, 1 }, 519 520 // The number of vmovl instructions for the extension. 521 { ISD::SIGN_EXTEND, MVT::v8i16, MVT::v8i8, 1 }, 522 { ISD::ZERO_EXTEND, MVT::v8i16, MVT::v8i8, 1 }, 523 { ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i8, 2 }, 524 { ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i8, 2 }, 525 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i8, 3 }, 526 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i8, 3 }, 527 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i16, 2 }, 528 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i16, 2 }, 529 { ISD::SIGN_EXTEND, MVT::v4i64, MVT::v4i16, 3 }, 530 { ISD::ZERO_EXTEND, MVT::v4i64, MVT::v4i16, 3 }, 531 { ISD::SIGN_EXTEND, MVT::v8i32, MVT::v8i8, 3 }, 532 { ISD::ZERO_EXTEND, MVT::v8i32, MVT::v8i8, 3 }, 533 { ISD::SIGN_EXTEND, MVT::v8i64, MVT::v8i8, 7 }, 534 { ISD::ZERO_EXTEND, MVT::v8i64, MVT::v8i8, 7 }, 535 { ISD::SIGN_EXTEND, MVT::v8i64, MVT::v8i16, 6 }, 536 { ISD::ZERO_EXTEND, MVT::v8i64, MVT::v8i16, 6 }, 537 { ISD::SIGN_EXTEND, MVT::v16i32, MVT::v16i8, 6 }, 538 { ISD::ZERO_EXTEND, MVT::v16i32, MVT::v16i8, 6 }, 539 540 // Operations that we legalize using splitting. 541 { ISD::TRUNCATE, MVT::v16i8, MVT::v16i32, 6 }, 542 { ISD::TRUNCATE, MVT::v8i8, MVT::v8i32, 3 }, 543 544 // Vector float <-> i32 conversions. 545 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i32, 1 }, 546 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i32, 1 }, 547 548 { ISD::SINT_TO_FP, MVT::v2f32, MVT::v2i8, 3 }, 549 { ISD::UINT_TO_FP, MVT::v2f32, MVT::v2i8, 3 }, 550 { ISD::SINT_TO_FP, MVT::v2f32, MVT::v2i16, 2 }, 551 { ISD::UINT_TO_FP, MVT::v2f32, MVT::v2i16, 2 }, 552 { ISD::SINT_TO_FP, MVT::v2f32, MVT::v2i32, 1 }, 553 { ISD::UINT_TO_FP, MVT::v2f32, MVT::v2i32, 1 }, 554 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i1, 3 }, 555 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i1, 3 }, 556 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i8, 3 }, 557 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i8, 3 }, 558 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i16, 2 }, 559 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i16, 2 }, 560 { ISD::SINT_TO_FP, MVT::v8f32, MVT::v8i16, 4 }, 561 { ISD::UINT_TO_FP, MVT::v8f32, MVT::v8i16, 4 }, 562 { ISD::SINT_TO_FP, MVT::v8f32, MVT::v8i32, 2 }, 563 { ISD::UINT_TO_FP, MVT::v8f32, MVT::v8i32, 2 }, 564 { ISD::SINT_TO_FP, MVT::v16f32, MVT::v16i16, 8 }, 565 { ISD::UINT_TO_FP, MVT::v16f32, MVT::v16i16, 8 }, 566 { ISD::SINT_TO_FP, MVT::v16f32, MVT::v16i32, 4 }, 567 { ISD::UINT_TO_FP, MVT::v16f32, MVT::v16i32, 4 }, 568 569 { ISD::FP_TO_SINT, MVT::v4i32, MVT::v4f32, 1 }, 570 { ISD::FP_TO_UINT, MVT::v4i32, MVT::v4f32, 1 }, 571 { ISD::FP_TO_SINT, MVT::v4i8, MVT::v4f32, 3 }, 572 { ISD::FP_TO_UINT, MVT::v4i8, MVT::v4f32, 3 }, 573 { ISD::FP_TO_SINT, MVT::v4i16, MVT::v4f32, 2 }, 574 { ISD::FP_TO_UINT, MVT::v4i16, MVT::v4f32, 2 }, 575 576 // Vector double <-> i32 conversions. 577 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 578 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 579 580 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i8, 4 }, 581 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i8, 4 }, 582 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i16, 3 }, 583 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i16, 3 }, 584 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 585 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 586 587 { ISD::FP_TO_SINT, MVT::v2i32, MVT::v2f64, 2 }, 588 { ISD::FP_TO_UINT, MVT::v2i32, MVT::v2f64, 2 }, 589 { ISD::FP_TO_SINT, MVT::v8i16, MVT::v8f32, 4 }, 590 { ISD::FP_TO_UINT, MVT::v8i16, MVT::v8f32, 4 }, 591 { ISD::FP_TO_SINT, MVT::v16i16, MVT::v16f32, 8 }, 592 { ISD::FP_TO_UINT, MVT::v16i16, MVT::v16f32, 8 } 593 }; 594 595 if (SrcTy.isVector() && ST->hasNEON()) { 596 if (const auto *Entry = ConvertCostTableLookup(NEONVectorConversionTbl, ISD, 597 DstTy.getSimpleVT(), 598 SrcTy.getSimpleVT())) 599 return AdjustCost(Entry->Cost); 600 } 601 602 // Scalar float to integer conversions. 603 static const TypeConversionCostTblEntry NEONFloatConversionTbl[] = { 604 { ISD::FP_TO_SINT, MVT::i1, MVT::f32, 2 }, 605 { ISD::FP_TO_UINT, MVT::i1, MVT::f32, 2 }, 606 { ISD::FP_TO_SINT, MVT::i1, MVT::f64, 2 }, 607 { ISD::FP_TO_UINT, MVT::i1, MVT::f64, 2 }, 608 { ISD::FP_TO_SINT, MVT::i8, MVT::f32, 2 }, 609 { ISD::FP_TO_UINT, MVT::i8, MVT::f32, 2 }, 610 { ISD::FP_TO_SINT, MVT::i8, MVT::f64, 2 }, 611 { ISD::FP_TO_UINT, MVT::i8, MVT::f64, 2 }, 612 { ISD::FP_TO_SINT, MVT::i16, MVT::f32, 2 }, 613 { ISD::FP_TO_UINT, MVT::i16, MVT::f32, 2 }, 614 { ISD::FP_TO_SINT, MVT::i16, MVT::f64, 2 }, 615 { ISD::FP_TO_UINT, MVT::i16, MVT::f64, 2 }, 616 { ISD::FP_TO_SINT, MVT::i32, MVT::f32, 2 }, 617 { ISD::FP_TO_UINT, MVT::i32, MVT::f32, 2 }, 618 { ISD::FP_TO_SINT, MVT::i32, MVT::f64, 2 }, 619 { ISD::FP_TO_UINT, MVT::i32, MVT::f64, 2 }, 620 { ISD::FP_TO_SINT, MVT::i64, MVT::f32, 10 }, 621 { ISD::FP_TO_UINT, MVT::i64, MVT::f32, 10 }, 622 { ISD::FP_TO_SINT, MVT::i64, MVT::f64, 10 }, 623 { ISD::FP_TO_UINT, MVT::i64, MVT::f64, 10 } 624 }; 625 if (SrcTy.isFloatingPoint() && ST->hasNEON()) { 626 if (const auto *Entry = ConvertCostTableLookup(NEONFloatConversionTbl, ISD, 627 DstTy.getSimpleVT(), 628 SrcTy.getSimpleVT())) 629 return AdjustCost(Entry->Cost); 630 } 631 632 // Scalar integer to float conversions. 633 static const TypeConversionCostTblEntry NEONIntegerConversionTbl[] = { 634 { ISD::SINT_TO_FP, MVT::f32, MVT::i1, 2 }, 635 { ISD::UINT_TO_FP, MVT::f32, MVT::i1, 2 }, 636 { ISD::SINT_TO_FP, MVT::f64, MVT::i1, 2 }, 637 { ISD::UINT_TO_FP, MVT::f64, MVT::i1, 2 }, 638 { ISD::SINT_TO_FP, MVT::f32, MVT::i8, 2 }, 639 { ISD::UINT_TO_FP, MVT::f32, MVT::i8, 2 }, 640 { ISD::SINT_TO_FP, MVT::f64, MVT::i8, 2 }, 641 { ISD::UINT_TO_FP, MVT::f64, MVT::i8, 2 }, 642 { ISD::SINT_TO_FP, MVT::f32, MVT::i16, 2 }, 643 { ISD::UINT_TO_FP, MVT::f32, MVT::i16, 2 }, 644 { ISD::SINT_TO_FP, MVT::f64, MVT::i16, 2 }, 645 { ISD::UINT_TO_FP, MVT::f64, MVT::i16, 2 }, 646 { ISD::SINT_TO_FP, MVT::f32, MVT::i32, 2 }, 647 { ISD::UINT_TO_FP, MVT::f32, MVT::i32, 2 }, 648 { ISD::SINT_TO_FP, MVT::f64, MVT::i32, 2 }, 649 { ISD::UINT_TO_FP, MVT::f64, MVT::i32, 2 }, 650 { ISD::SINT_TO_FP, MVT::f32, MVT::i64, 10 }, 651 { ISD::UINT_TO_FP, MVT::f32, MVT::i64, 10 }, 652 { ISD::SINT_TO_FP, MVT::f64, MVT::i64, 10 }, 653 { ISD::UINT_TO_FP, MVT::f64, MVT::i64, 10 } 654 }; 655 656 if (SrcTy.isInteger() && ST->hasNEON()) { 657 if (const auto *Entry = ConvertCostTableLookup(NEONIntegerConversionTbl, 658 ISD, DstTy.getSimpleVT(), 659 SrcTy.getSimpleVT())) 660 return AdjustCost(Entry->Cost); 661 } 662 663 // MVE extend costs, taken from codegen tests. i8->i16 or i16->i32 is one 664 // instruction, i8->i32 is two. i64 zexts are an VAND with a constant, sext 665 // are linearised so take more. 666 static const TypeConversionCostTblEntry MVEVectorConversionTbl[] = { 667 { ISD::SIGN_EXTEND, MVT::v8i16, MVT::v8i8, 1 }, 668 { ISD::ZERO_EXTEND, MVT::v8i16, MVT::v8i8, 1 }, 669 { ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i8, 2 }, 670 { ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i8, 2 }, 671 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i8, 10 }, 672 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i8, 2 }, 673 { ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i16, 1 }, 674 { ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i16, 1 }, 675 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i16, 10 }, 676 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i16, 2 }, 677 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i32, 8 }, 678 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i32, 2 }, 679 }; 680 681 if (SrcTy.isVector() && ST->hasMVEIntegerOps()) { 682 if (const auto *Entry = ConvertCostTableLookup(MVEVectorConversionTbl, 683 ISD, DstTy.getSimpleVT(), 684 SrcTy.getSimpleVT())) 685 return AdjustCost(Entry->Cost * ST->getMVEVectorCostFactor()); 686 } 687 688 if (ISD == ISD::FP_ROUND || ISD == ISD::FP_EXTEND) { 689 // As general rule, fp converts that were not matched above are scalarized 690 // and cost 1 vcvt for each lane, so long as the instruction is available. 691 // If not it will become a series of function calls. 692 const int CallCost = getCallInstrCost(nullptr, Dst, {Src}, CostKind); 693 int Lanes = 1; 694 if (SrcTy.isFixedLengthVector()) 695 Lanes = SrcTy.getVectorNumElements(); 696 697 if (IsLegalFPType(SrcTy) && IsLegalFPType(DstTy)) 698 return Lanes; 699 else 700 return Lanes * CallCost; 701 } 702 703 // Scalar integer conversion costs. 704 static const TypeConversionCostTblEntry ARMIntegerConversionTbl[] = { 705 // i16 -> i64 requires two dependent operations. 706 { ISD::SIGN_EXTEND, MVT::i64, MVT::i16, 2 }, 707 708 // Truncates on i64 are assumed to be free. 709 { ISD::TRUNCATE, MVT::i32, MVT::i64, 0 }, 710 { ISD::TRUNCATE, MVT::i16, MVT::i64, 0 }, 711 { ISD::TRUNCATE, MVT::i8, MVT::i64, 0 }, 712 { ISD::TRUNCATE, MVT::i1, MVT::i64, 0 } 713 }; 714 715 if (SrcTy.isInteger()) { 716 if (const auto *Entry = ConvertCostTableLookup(ARMIntegerConversionTbl, ISD, 717 DstTy.getSimpleVT(), 718 SrcTy.getSimpleVT())) 719 return AdjustCost(Entry->Cost); 720 } 721 722 int BaseCost = ST->hasMVEIntegerOps() && Src->isVectorTy() 723 ? ST->getMVEVectorCostFactor() 724 : 1; 725 return AdjustCost( 726 BaseCost * BaseT::getCastInstrCost(Opcode, Dst, Src, CCH, CostKind, I)); 727 } 728 729 int ARMTTIImpl::getVectorInstrCost(unsigned Opcode, Type *ValTy, 730 unsigned Index) { 731 // Penalize inserting into an D-subregister. We end up with a three times 732 // lower estimated throughput on swift. 733 if (ST->hasSlowLoadDSubregister() && Opcode == Instruction::InsertElement && 734 ValTy->isVectorTy() && ValTy->getScalarSizeInBits() <= 32) 735 return 3; 736 737 if (ST->hasNEON() && (Opcode == Instruction::InsertElement || 738 Opcode == Instruction::ExtractElement)) { 739 // Cross-class copies are expensive on many microarchitectures, 740 // so assume they are expensive by default. 741 if (cast<VectorType>(ValTy)->getElementType()->isIntegerTy()) 742 return 3; 743 744 // Even if it's not a cross class copy, this likely leads to mixing 745 // of NEON and VFP code and should be therefore penalized. 746 if (ValTy->isVectorTy() && 747 ValTy->getScalarSizeInBits() <= 32) 748 return std::max(BaseT::getVectorInstrCost(Opcode, ValTy, Index), 2U); 749 } 750 751 if (ST->hasMVEIntegerOps() && (Opcode == Instruction::InsertElement || 752 Opcode == Instruction::ExtractElement)) { 753 // We say MVE moves costs at least the MVEVectorCostFactor, even though 754 // they are scalar instructions. This helps prevent mixing scalar and 755 // vector, to prevent vectorising where we end up just scalarising the 756 // result anyway. 757 return std::max(BaseT::getVectorInstrCost(Opcode, ValTy, Index), 758 ST->getMVEVectorCostFactor()) * 759 cast<FixedVectorType>(ValTy)->getNumElements() / 2; 760 } 761 762 return BaseT::getVectorInstrCost(Opcode, ValTy, Index); 763 } 764 765 int ARMTTIImpl::getCmpSelInstrCost(unsigned Opcode, Type *ValTy, Type *CondTy, 766 TTI::TargetCostKind CostKind, 767 const Instruction *I) { 768 int ISD = TLI->InstructionOpcodeToISD(Opcode); 769 770 // Thumb scalar code size cost for select. 771 if (CostKind == TTI::TCK_CodeSize && ISD == ISD::SELECT && 772 ST->isThumb() && !ValTy->isVectorTy()) { 773 // Assume expensive structs. 774 if (TLI->getValueType(DL, ValTy, true) == MVT::Other) 775 return TTI::TCC_Expensive; 776 777 // Select costs can vary because they: 778 // - may require one or more conditional mov (including an IT), 779 // - can't operate directly on immediates, 780 // - require live flags, which we can't copy around easily. 781 int Cost = TLI->getTypeLegalizationCost(DL, ValTy).first; 782 783 // Possible IT instruction for Thumb2, or more for Thumb1. 784 ++Cost; 785 786 // i1 values may need rematerialising by using mov immediates and/or 787 // flag setting instructions. 788 if (ValTy->isIntegerTy(1)) 789 ++Cost; 790 791 return Cost; 792 } 793 794 if (CostKind != TTI::TCK_RecipThroughput) 795 return BaseT::getCmpSelInstrCost(Opcode, ValTy, CondTy, CostKind, I); 796 797 // On NEON a vector select gets lowered to vbsl. 798 if (ST->hasNEON() && ValTy->isVectorTy() && ISD == ISD::SELECT) { 799 // Lowering of some vector selects is currently far from perfect. 800 static const TypeConversionCostTblEntry NEONVectorSelectTbl[] = { 801 { ISD::SELECT, MVT::v4i1, MVT::v4i64, 4*4 + 1*2 + 1 }, 802 { ISD::SELECT, MVT::v8i1, MVT::v8i64, 50 }, 803 { ISD::SELECT, MVT::v16i1, MVT::v16i64, 100 } 804 }; 805 806 EVT SelCondTy = TLI->getValueType(DL, CondTy); 807 EVT SelValTy = TLI->getValueType(DL, ValTy); 808 if (SelCondTy.isSimple() && SelValTy.isSimple()) { 809 if (const auto *Entry = ConvertCostTableLookup(NEONVectorSelectTbl, ISD, 810 SelCondTy.getSimpleVT(), 811 SelValTy.getSimpleVT())) 812 return Entry->Cost; 813 } 814 815 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, ValTy); 816 return LT.first; 817 } 818 819 int BaseCost = ST->hasMVEIntegerOps() && ValTy->isVectorTy() 820 ? ST->getMVEVectorCostFactor() 821 : 1; 822 return BaseCost * BaseT::getCmpSelInstrCost(Opcode, ValTy, CondTy, CostKind, 823 I); 824 } 825 826 int ARMTTIImpl::getAddressComputationCost(Type *Ty, ScalarEvolution *SE, 827 const SCEV *Ptr) { 828 // Address computations in vectorized code with non-consecutive addresses will 829 // likely result in more instructions compared to scalar code where the 830 // computation can more often be merged into the index mode. The resulting 831 // extra micro-ops can significantly decrease throughput. 832 unsigned NumVectorInstToHideOverhead = 10; 833 int MaxMergeDistance = 64; 834 835 if (ST->hasNEON()) { 836 if (Ty->isVectorTy() && SE && 837 !BaseT::isConstantStridedAccessLessThan(SE, Ptr, MaxMergeDistance + 1)) 838 return NumVectorInstToHideOverhead; 839 840 // In many cases the address computation is not merged into the instruction 841 // addressing mode. 842 return 1; 843 } 844 return BaseT::getAddressComputationCost(Ty, SE, Ptr); 845 } 846 847 bool ARMTTIImpl::isProfitableLSRChainElement(Instruction *I) { 848 if (IntrinsicInst *II = dyn_cast<IntrinsicInst>(I)) { 849 // If a VCTP is part of a chain, it's already profitable and shouldn't be 850 // optimized, else LSR may block tail-predication. 851 switch (II->getIntrinsicID()) { 852 case Intrinsic::arm_mve_vctp8: 853 case Intrinsic::arm_mve_vctp16: 854 case Intrinsic::arm_mve_vctp32: 855 case Intrinsic::arm_mve_vctp64: 856 return true; 857 default: 858 break; 859 } 860 } 861 return false; 862 } 863 864 bool ARMTTIImpl::isLegalMaskedLoad(Type *DataTy, Align Alignment) { 865 if (!EnableMaskedLoadStores || !ST->hasMVEIntegerOps()) 866 return false; 867 868 if (auto *VecTy = dyn_cast<FixedVectorType>(DataTy)) { 869 // Don't support v2i1 yet. 870 if (VecTy->getNumElements() == 2) 871 return false; 872 873 // We don't support extending fp types. 874 unsigned VecWidth = DataTy->getPrimitiveSizeInBits(); 875 if (VecWidth != 128 && VecTy->getElementType()->isFloatingPointTy()) 876 return false; 877 } 878 879 unsigned EltWidth = DataTy->getScalarSizeInBits(); 880 return (EltWidth == 32 && Alignment >= 4) || 881 (EltWidth == 16 && Alignment >= 2) || (EltWidth == 8); 882 } 883 884 bool ARMTTIImpl::isLegalMaskedGather(Type *Ty, Align Alignment) { 885 if (!EnableMaskedGatherScatters || !ST->hasMVEIntegerOps()) 886 return false; 887 888 // This method is called in 2 places: 889 // - from the vectorizer with a scalar type, in which case we need to get 890 // this as good as we can with the limited info we have (and rely on the cost 891 // model for the rest). 892 // - from the masked intrinsic lowering pass with the actual vector type. 893 // For MVE, we have a custom lowering pass that will already have custom 894 // legalised any gathers that we can to MVE intrinsics, and want to expand all 895 // the rest. The pass runs before the masked intrinsic lowering pass, so if we 896 // are here, we know we want to expand. 897 if (isa<VectorType>(Ty)) 898 return false; 899 900 unsigned EltWidth = Ty->getScalarSizeInBits(); 901 return ((EltWidth == 32 && Alignment >= 4) || 902 (EltWidth == 16 && Alignment >= 2) || EltWidth == 8); 903 } 904 905 int ARMTTIImpl::getMemcpyCost(const Instruction *I) { 906 const MemCpyInst *MI = dyn_cast<MemCpyInst>(I); 907 assert(MI && "MemcpyInst expected"); 908 ConstantInt *C = dyn_cast<ConstantInt>(MI->getLength()); 909 910 // To model the cost of a library call, we assume 1 for the call, and 911 // 3 for the argument setup. 912 const unsigned LibCallCost = 4; 913 914 // If 'size' is not a constant, a library call will be generated. 915 if (!C) 916 return LibCallCost; 917 918 const unsigned Size = C->getValue().getZExtValue(); 919 const Align DstAlign = *MI->getDestAlign(); 920 const Align SrcAlign = *MI->getSourceAlign(); 921 const Function *F = I->getParent()->getParent(); 922 const unsigned Limit = TLI->getMaxStoresPerMemmove(F->hasMinSize()); 923 std::vector<EVT> MemOps; 924 925 // MemOps will be poplulated with a list of data types that needs to be 926 // loaded and stored. That's why we multiply the number of elements by 2 to 927 // get the cost for this memcpy. 928 if (getTLI()->findOptimalMemOpLowering( 929 MemOps, Limit, 930 MemOp::Copy(Size, /*DstAlignCanChange*/ false, DstAlign, SrcAlign, 931 /*IsVolatile*/ true), 932 MI->getDestAddressSpace(), MI->getSourceAddressSpace(), 933 F->getAttributes())) 934 return MemOps.size() * 2; 935 936 // If we can't find an optimal memop lowering, return the default cost 937 return LibCallCost; 938 } 939 940 int ARMTTIImpl::getShuffleCost(TTI::ShuffleKind Kind, VectorType *Tp, 941 int Index, VectorType *SubTp) { 942 if (ST->hasNEON()) { 943 if (Kind == TTI::SK_Broadcast) { 944 static const CostTblEntry NEONDupTbl[] = { 945 // VDUP handles these cases. 946 {ISD::VECTOR_SHUFFLE, MVT::v2i32, 1}, 947 {ISD::VECTOR_SHUFFLE, MVT::v2f32, 1}, 948 {ISD::VECTOR_SHUFFLE, MVT::v2i64, 1}, 949 {ISD::VECTOR_SHUFFLE, MVT::v2f64, 1}, 950 {ISD::VECTOR_SHUFFLE, MVT::v4i16, 1}, 951 {ISD::VECTOR_SHUFFLE, MVT::v8i8, 1}, 952 953 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 1}, 954 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 1}, 955 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 1}, 956 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 1}}; 957 958 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 959 960 if (const auto *Entry = 961 CostTableLookup(NEONDupTbl, ISD::VECTOR_SHUFFLE, LT.second)) 962 return LT.first * Entry->Cost; 963 } 964 if (Kind == TTI::SK_Reverse) { 965 static const CostTblEntry NEONShuffleTbl[] = { 966 // Reverse shuffle cost one instruction if we are shuffling within a 967 // double word (vrev) or two if we shuffle a quad word (vrev, vext). 968 {ISD::VECTOR_SHUFFLE, MVT::v2i32, 1}, 969 {ISD::VECTOR_SHUFFLE, MVT::v2f32, 1}, 970 {ISD::VECTOR_SHUFFLE, MVT::v2i64, 1}, 971 {ISD::VECTOR_SHUFFLE, MVT::v2f64, 1}, 972 {ISD::VECTOR_SHUFFLE, MVT::v4i16, 1}, 973 {ISD::VECTOR_SHUFFLE, MVT::v8i8, 1}, 974 975 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 2}, 976 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 2}, 977 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 2}, 978 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 2}}; 979 980 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 981 982 if (const auto *Entry = 983 CostTableLookup(NEONShuffleTbl, ISD::VECTOR_SHUFFLE, LT.second)) 984 return LT.first * Entry->Cost; 985 } 986 if (Kind == TTI::SK_Select) { 987 static const CostTblEntry NEONSelShuffleTbl[] = { 988 // Select shuffle cost table for ARM. Cost is the number of 989 // instructions 990 // required to create the shuffled vector. 991 992 {ISD::VECTOR_SHUFFLE, MVT::v2f32, 1}, 993 {ISD::VECTOR_SHUFFLE, MVT::v2i64, 1}, 994 {ISD::VECTOR_SHUFFLE, MVT::v2f64, 1}, 995 {ISD::VECTOR_SHUFFLE, MVT::v2i32, 1}, 996 997 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 2}, 998 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 2}, 999 {ISD::VECTOR_SHUFFLE, MVT::v4i16, 2}, 1000 1001 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 16}, 1002 1003 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 32}}; 1004 1005 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 1006 if (const auto *Entry = CostTableLookup(NEONSelShuffleTbl, 1007 ISD::VECTOR_SHUFFLE, LT.second)) 1008 return LT.first * Entry->Cost; 1009 } 1010 } 1011 if (ST->hasMVEIntegerOps()) { 1012 if (Kind == TTI::SK_Broadcast) { 1013 static const CostTblEntry MVEDupTbl[] = { 1014 // VDUP handles these cases. 1015 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 1}, 1016 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 1}, 1017 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 1}, 1018 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 1}, 1019 {ISD::VECTOR_SHUFFLE, MVT::v8f16, 1}}; 1020 1021 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 1022 1023 if (const auto *Entry = CostTableLookup(MVEDupTbl, ISD::VECTOR_SHUFFLE, 1024 LT.second)) 1025 return LT.first * Entry->Cost * ST->getMVEVectorCostFactor(); 1026 } 1027 } 1028 int BaseCost = ST->hasMVEIntegerOps() && Tp->isVectorTy() 1029 ? ST->getMVEVectorCostFactor() 1030 : 1; 1031 return BaseCost * BaseT::getShuffleCost(Kind, Tp, Index, SubTp); 1032 } 1033 1034 int ARMTTIImpl::getArithmeticInstrCost(unsigned Opcode, Type *Ty, 1035 TTI::TargetCostKind CostKind, 1036 TTI::OperandValueKind Op1Info, 1037 TTI::OperandValueKind Op2Info, 1038 TTI::OperandValueProperties Opd1PropInfo, 1039 TTI::OperandValueProperties Opd2PropInfo, 1040 ArrayRef<const Value *> Args, 1041 const Instruction *CxtI) { 1042 int ISDOpcode = TLI->InstructionOpcodeToISD(Opcode); 1043 if (ST->isThumb() && CostKind == TTI::TCK_CodeSize && Ty->isIntegerTy(1)) { 1044 // Make operations on i1 relatively expensive as this often involves 1045 // combining predicates. AND and XOR should be easier to handle with IT 1046 // blocks. 1047 switch (ISDOpcode) { 1048 default: 1049 break; 1050 case ISD::AND: 1051 case ISD::XOR: 1052 return 2; 1053 case ISD::OR: 1054 return 3; 1055 } 1056 } 1057 1058 // TODO: Handle more cost kinds. 1059 if (CostKind != TTI::TCK_RecipThroughput) 1060 return BaseT::getArithmeticInstrCost(Opcode, Ty, CostKind, Op1Info, 1061 Op2Info, Opd1PropInfo, 1062 Opd2PropInfo, Args, CxtI); 1063 1064 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Ty); 1065 1066 if (ST->hasNEON()) { 1067 const unsigned FunctionCallDivCost = 20; 1068 const unsigned ReciprocalDivCost = 10; 1069 static const CostTblEntry CostTbl[] = { 1070 // Division. 1071 // These costs are somewhat random. Choose a cost of 20 to indicate that 1072 // vectorizing devision (added function call) is going to be very expensive. 1073 // Double registers types. 1074 { ISD::SDIV, MVT::v1i64, 1 * FunctionCallDivCost}, 1075 { ISD::UDIV, MVT::v1i64, 1 * FunctionCallDivCost}, 1076 { ISD::SREM, MVT::v1i64, 1 * FunctionCallDivCost}, 1077 { ISD::UREM, MVT::v1i64, 1 * FunctionCallDivCost}, 1078 { ISD::SDIV, MVT::v2i32, 2 * FunctionCallDivCost}, 1079 { ISD::UDIV, MVT::v2i32, 2 * FunctionCallDivCost}, 1080 { ISD::SREM, MVT::v2i32, 2 * FunctionCallDivCost}, 1081 { ISD::UREM, MVT::v2i32, 2 * FunctionCallDivCost}, 1082 { ISD::SDIV, MVT::v4i16, ReciprocalDivCost}, 1083 { ISD::UDIV, MVT::v4i16, ReciprocalDivCost}, 1084 { ISD::SREM, MVT::v4i16, 4 * FunctionCallDivCost}, 1085 { ISD::UREM, MVT::v4i16, 4 * FunctionCallDivCost}, 1086 { ISD::SDIV, MVT::v8i8, ReciprocalDivCost}, 1087 { ISD::UDIV, MVT::v8i8, ReciprocalDivCost}, 1088 { ISD::SREM, MVT::v8i8, 8 * FunctionCallDivCost}, 1089 { ISD::UREM, MVT::v8i8, 8 * FunctionCallDivCost}, 1090 // Quad register types. 1091 { ISD::SDIV, MVT::v2i64, 2 * FunctionCallDivCost}, 1092 { ISD::UDIV, MVT::v2i64, 2 * FunctionCallDivCost}, 1093 { ISD::SREM, MVT::v2i64, 2 * FunctionCallDivCost}, 1094 { ISD::UREM, MVT::v2i64, 2 * FunctionCallDivCost}, 1095 { ISD::SDIV, MVT::v4i32, 4 * FunctionCallDivCost}, 1096 { ISD::UDIV, MVT::v4i32, 4 * FunctionCallDivCost}, 1097 { ISD::SREM, MVT::v4i32, 4 * FunctionCallDivCost}, 1098 { ISD::UREM, MVT::v4i32, 4 * FunctionCallDivCost}, 1099 { ISD::SDIV, MVT::v8i16, 8 * FunctionCallDivCost}, 1100 { ISD::UDIV, MVT::v8i16, 8 * FunctionCallDivCost}, 1101 { ISD::SREM, MVT::v8i16, 8 * FunctionCallDivCost}, 1102 { ISD::UREM, MVT::v8i16, 8 * FunctionCallDivCost}, 1103 { ISD::SDIV, MVT::v16i8, 16 * FunctionCallDivCost}, 1104 { ISD::UDIV, MVT::v16i8, 16 * FunctionCallDivCost}, 1105 { ISD::SREM, MVT::v16i8, 16 * FunctionCallDivCost}, 1106 { ISD::UREM, MVT::v16i8, 16 * FunctionCallDivCost}, 1107 // Multiplication. 1108 }; 1109 1110 if (const auto *Entry = CostTableLookup(CostTbl, ISDOpcode, LT.second)) 1111 return LT.first * Entry->Cost; 1112 1113 int Cost = BaseT::getArithmeticInstrCost(Opcode, Ty, CostKind, Op1Info, 1114 Op2Info, 1115 Opd1PropInfo, Opd2PropInfo); 1116 1117 // This is somewhat of a hack. The problem that we are facing is that SROA 1118 // creates a sequence of shift, and, or instructions to construct values. 1119 // These sequences are recognized by the ISel and have zero-cost. Not so for 1120 // the vectorized code. Because we have support for v2i64 but not i64 those 1121 // sequences look particularly beneficial to vectorize. 1122 // To work around this we increase the cost of v2i64 operations to make them 1123 // seem less beneficial. 1124 if (LT.second == MVT::v2i64 && 1125 Op2Info == TargetTransformInfo::OK_UniformConstantValue) 1126 Cost += 4; 1127 1128 return Cost; 1129 } 1130 1131 // If this operation is a shift on arm/thumb2, it might well be folded into 1132 // the following instruction, hence having a cost of 0. 1133 auto LooksLikeAFreeShift = [&]() { 1134 if (ST->isThumb1Only() || Ty->isVectorTy()) 1135 return false; 1136 1137 if (!CxtI || !CxtI->hasOneUse() || !CxtI->isShift()) 1138 return false; 1139 if (Op2Info != TargetTransformInfo::OK_UniformConstantValue) 1140 return false; 1141 1142 // Folded into a ADC/ADD/AND/BIC/CMP/EOR/MVN/ORR/ORN/RSB/SBC/SUB 1143 switch (cast<Instruction>(CxtI->user_back())->getOpcode()) { 1144 case Instruction::Add: 1145 case Instruction::Sub: 1146 case Instruction::And: 1147 case Instruction::Xor: 1148 case Instruction::Or: 1149 case Instruction::ICmp: 1150 return true; 1151 default: 1152 return false; 1153 } 1154 }; 1155 if (LooksLikeAFreeShift()) 1156 return 0; 1157 1158 int BaseCost = ST->hasMVEIntegerOps() && Ty->isVectorTy() 1159 ? ST->getMVEVectorCostFactor() 1160 : 1; 1161 1162 // The rest of this mostly follows what is done in BaseT::getArithmeticInstrCost, 1163 // without treating floats as more expensive that scalars or increasing the 1164 // costs for custom operations. The results is also multiplied by the 1165 // MVEVectorCostFactor where appropriate. 1166 if (TLI->isOperationLegalOrCustomOrPromote(ISDOpcode, LT.second)) 1167 return LT.first * BaseCost; 1168 1169 // Else this is expand, assume that we need to scalarize this op. 1170 if (auto *VTy = dyn_cast<FixedVectorType>(Ty)) { 1171 unsigned Num = VTy->getNumElements(); 1172 unsigned Cost = getArithmeticInstrCost(Opcode, Ty->getScalarType(), 1173 CostKind); 1174 // Return the cost of multiple scalar invocation plus the cost of 1175 // inserting and extracting the values. 1176 return BaseT::getScalarizationOverhead(VTy, Args) + Num * Cost; 1177 } 1178 1179 return BaseCost; 1180 } 1181 1182 int ARMTTIImpl::getMemoryOpCost(unsigned Opcode, Type *Src, 1183 MaybeAlign Alignment, unsigned AddressSpace, 1184 TTI::TargetCostKind CostKind, 1185 const Instruction *I) { 1186 // TODO: Handle other cost kinds. 1187 if (CostKind != TTI::TCK_RecipThroughput) 1188 return 1; 1189 1190 // Type legalization can't handle structs 1191 if (TLI->getValueType(DL, Src, true) == MVT::Other) 1192 return BaseT::getMemoryOpCost(Opcode, Src, Alignment, AddressSpace, 1193 CostKind); 1194 1195 if (ST->hasNEON() && Src->isVectorTy() && 1196 (Alignment && *Alignment != Align(16)) && 1197 cast<VectorType>(Src)->getElementType()->isDoubleTy()) { 1198 // Unaligned loads/stores are extremely inefficient. 1199 // We need 4 uops for vst.1/vld.1 vs 1uop for vldr/vstr. 1200 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Src); 1201 return LT.first * 4; 1202 } 1203 1204 // MVE can optimize a fpext(load(4xhalf)) using an extending integer load. 1205 // Same for stores. 1206 if (ST->hasMVEFloatOps() && isa<FixedVectorType>(Src) && I && 1207 ((Opcode == Instruction::Load && I->hasOneUse() && 1208 isa<FPExtInst>(*I->user_begin())) || 1209 (Opcode == Instruction::Store && isa<FPTruncInst>(I->getOperand(0))))) { 1210 FixedVectorType *SrcVTy = cast<FixedVectorType>(Src); 1211 Type *DstTy = 1212 Opcode == Instruction::Load 1213 ? (*I->user_begin())->getType() 1214 : cast<Instruction>(I->getOperand(0))->getOperand(0)->getType(); 1215 if (SrcVTy->getNumElements() == 4 && SrcVTy->getScalarType()->isHalfTy() && 1216 DstTy->getScalarType()->isFloatTy()) 1217 return ST->getMVEVectorCostFactor(); 1218 } 1219 1220 int BaseCost = ST->hasMVEIntegerOps() && Src->isVectorTy() 1221 ? ST->getMVEVectorCostFactor() 1222 : 1; 1223 return BaseCost * BaseT::getMemoryOpCost(Opcode, Src, Alignment, AddressSpace, 1224 CostKind, I); 1225 } 1226 1227 int ARMTTIImpl::getInterleavedMemoryOpCost( 1228 unsigned Opcode, Type *VecTy, unsigned Factor, ArrayRef<unsigned> Indices, 1229 Align Alignment, unsigned AddressSpace, TTI::TargetCostKind CostKind, 1230 bool UseMaskForCond, bool UseMaskForGaps) { 1231 assert(Factor >= 2 && "Invalid interleave factor"); 1232 assert(isa<VectorType>(VecTy) && "Expect a vector type"); 1233 1234 // vldN/vstN doesn't support vector types of i64/f64 element. 1235 bool EltIs64Bits = DL.getTypeSizeInBits(VecTy->getScalarType()) == 64; 1236 1237 if (Factor <= TLI->getMaxSupportedInterleaveFactor() && !EltIs64Bits && 1238 !UseMaskForCond && !UseMaskForGaps) { 1239 unsigned NumElts = cast<FixedVectorType>(VecTy)->getNumElements(); 1240 auto *SubVecTy = 1241 FixedVectorType::get(VecTy->getScalarType(), NumElts / Factor); 1242 1243 // vldN/vstN only support legal vector types of size 64 or 128 in bits. 1244 // Accesses having vector types that are a multiple of 128 bits can be 1245 // matched to more than one vldN/vstN instruction. 1246 int BaseCost = ST->hasMVEIntegerOps() ? ST->getMVEVectorCostFactor() : 1; 1247 if (NumElts % Factor == 0 && 1248 TLI->isLegalInterleavedAccessType(Factor, SubVecTy, DL)) 1249 return Factor * BaseCost * TLI->getNumInterleavedAccesses(SubVecTy, DL); 1250 1251 // Some smaller than legal interleaved patterns are cheap as we can make 1252 // use of the vmovn or vrev patterns to interleave a standard load. This is 1253 // true for v4i8, v8i8 and v4i16 at least (but not for v4f16 as it is 1254 // promoted differently). The cost of 2 here is then a load and vrev or 1255 // vmovn. 1256 if (ST->hasMVEIntegerOps() && Factor == 2 && NumElts / Factor > 2 && 1257 VecTy->isIntOrIntVectorTy() && DL.getTypeSizeInBits(SubVecTy) <= 64) 1258 return 2 * BaseCost; 1259 } 1260 1261 return BaseT::getInterleavedMemoryOpCost(Opcode, VecTy, Factor, Indices, 1262 Alignment, AddressSpace, CostKind, 1263 UseMaskForCond, UseMaskForGaps); 1264 } 1265 1266 unsigned ARMTTIImpl::getGatherScatterOpCost(unsigned Opcode, Type *DataTy, 1267 const Value *Ptr, bool VariableMask, 1268 Align Alignment, 1269 TTI::TargetCostKind CostKind, 1270 const Instruction *I) { 1271 using namespace PatternMatch; 1272 if (!ST->hasMVEIntegerOps() || !EnableMaskedGatherScatters) 1273 return BaseT::getGatherScatterOpCost(Opcode, DataTy, Ptr, VariableMask, 1274 Alignment, CostKind, I); 1275 1276 assert(DataTy->isVectorTy() && "Can't do gather/scatters on scalar!"); 1277 auto *VTy = cast<FixedVectorType>(DataTy); 1278 1279 // TODO: Splitting, once we do that. 1280 1281 unsigned NumElems = VTy->getNumElements(); 1282 unsigned EltSize = VTy->getScalarSizeInBits(); 1283 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, DataTy); 1284 1285 // For now, it is assumed that for the MVE gather instructions the loads are 1286 // all effectively serialised. This means the cost is the scalar cost 1287 // multiplied by the number of elements being loaded. This is possibly very 1288 // conservative, but even so we still end up vectorising loops because the 1289 // cost per iteration for many loops is lower than for scalar loops. 1290 unsigned VectorCost = NumElems * LT.first * ST->getMVEVectorCostFactor(); 1291 // The scalarization cost should be a lot higher. We use the number of vector 1292 // elements plus the scalarization overhead. 1293 unsigned ScalarCost = 1294 NumElems * LT.first + BaseT::getScalarizationOverhead(VTy, {}); 1295 1296 if (Alignment < EltSize / 8) 1297 return ScalarCost; 1298 1299 unsigned ExtSize = EltSize; 1300 // Check whether there's a single user that asks for an extended type 1301 if (I != nullptr) { 1302 // Dependent of the caller of this function, a gather instruction will 1303 // either have opcode Instruction::Load or be a call to the masked_gather 1304 // intrinsic 1305 if ((I->getOpcode() == Instruction::Load || 1306 match(I, m_Intrinsic<Intrinsic::masked_gather>())) && 1307 I->hasOneUse()) { 1308 const User *Us = *I->users().begin(); 1309 if (isa<ZExtInst>(Us) || isa<SExtInst>(Us)) { 1310 // only allow valid type combinations 1311 unsigned TypeSize = 1312 cast<Instruction>(Us)->getType()->getScalarSizeInBits(); 1313 if (((TypeSize == 32 && (EltSize == 8 || EltSize == 16)) || 1314 (TypeSize == 16 && EltSize == 8)) && 1315 TypeSize * NumElems == 128) { 1316 ExtSize = TypeSize; 1317 } 1318 } 1319 } 1320 // Check whether the input data needs to be truncated 1321 TruncInst *T; 1322 if ((I->getOpcode() == Instruction::Store || 1323 match(I, m_Intrinsic<Intrinsic::masked_scatter>())) && 1324 (T = dyn_cast<TruncInst>(I->getOperand(0)))) { 1325 // Only allow valid type combinations 1326 unsigned TypeSize = T->getOperand(0)->getType()->getScalarSizeInBits(); 1327 if (((EltSize == 16 && TypeSize == 32) || 1328 (EltSize == 8 && (TypeSize == 32 || TypeSize == 16))) && 1329 TypeSize * NumElems == 128) 1330 ExtSize = TypeSize; 1331 } 1332 } 1333 1334 if (ExtSize * NumElems != 128 || NumElems < 4) 1335 return ScalarCost; 1336 1337 // Any (aligned) i32 gather will not need to be scalarised. 1338 if (ExtSize == 32) 1339 return VectorCost; 1340 // For smaller types, we need to ensure that the gep's inputs are correctly 1341 // extended from a small enough value. Other sizes (including i64) are 1342 // scalarized for now. 1343 if (ExtSize != 8 && ExtSize != 16) 1344 return ScalarCost; 1345 1346 if (const auto *BC = dyn_cast<BitCastInst>(Ptr)) 1347 Ptr = BC->getOperand(0); 1348 if (const auto *GEP = dyn_cast<GetElementPtrInst>(Ptr)) { 1349 if (GEP->getNumOperands() != 2) 1350 return ScalarCost; 1351 unsigned Scale = DL.getTypeAllocSize(GEP->getResultElementType()); 1352 // Scale needs to be correct (which is only relevant for i16s). 1353 if (Scale != 1 && Scale * 8 != ExtSize) 1354 return ScalarCost; 1355 // And we need to zext (not sext) the indexes from a small enough type. 1356 if (const auto *ZExt = dyn_cast<ZExtInst>(GEP->getOperand(1))) { 1357 if (ZExt->getOperand(0)->getType()->getScalarSizeInBits() <= ExtSize) 1358 return VectorCost; 1359 } 1360 return ScalarCost; 1361 } 1362 return ScalarCost; 1363 } 1364 1365 bool ARMTTIImpl::isLoweredToCall(const Function *F) { 1366 if (!F->isIntrinsic()) 1367 BaseT::isLoweredToCall(F); 1368 1369 // Assume all Arm-specific intrinsics map to an instruction. 1370 if (F->getName().startswith("llvm.arm")) 1371 return false; 1372 1373 switch (F->getIntrinsicID()) { 1374 default: break; 1375 case Intrinsic::powi: 1376 case Intrinsic::sin: 1377 case Intrinsic::cos: 1378 case Intrinsic::pow: 1379 case Intrinsic::log: 1380 case Intrinsic::log10: 1381 case Intrinsic::log2: 1382 case Intrinsic::exp: 1383 case Intrinsic::exp2: 1384 return true; 1385 case Intrinsic::sqrt: 1386 case Intrinsic::fabs: 1387 case Intrinsic::copysign: 1388 case Intrinsic::floor: 1389 case Intrinsic::ceil: 1390 case Intrinsic::trunc: 1391 case Intrinsic::rint: 1392 case Intrinsic::nearbyint: 1393 case Intrinsic::round: 1394 case Intrinsic::canonicalize: 1395 case Intrinsic::lround: 1396 case Intrinsic::llround: 1397 case Intrinsic::lrint: 1398 case Intrinsic::llrint: 1399 if (F->getReturnType()->isDoubleTy() && !ST->hasFP64()) 1400 return true; 1401 if (F->getReturnType()->isHalfTy() && !ST->hasFullFP16()) 1402 return true; 1403 // Some operations can be handled by vector instructions and assume 1404 // unsupported vectors will be expanded into supported scalar ones. 1405 // TODO Handle scalar operations properly. 1406 return !ST->hasFPARMv8Base() && !ST->hasVFP2Base(); 1407 case Intrinsic::masked_store: 1408 case Intrinsic::masked_load: 1409 case Intrinsic::masked_gather: 1410 case Intrinsic::masked_scatter: 1411 return !ST->hasMVEIntegerOps(); 1412 case Intrinsic::sadd_with_overflow: 1413 case Intrinsic::uadd_with_overflow: 1414 case Intrinsic::ssub_with_overflow: 1415 case Intrinsic::usub_with_overflow: 1416 case Intrinsic::sadd_sat: 1417 case Intrinsic::uadd_sat: 1418 case Intrinsic::ssub_sat: 1419 case Intrinsic::usub_sat: 1420 return false; 1421 } 1422 1423 return BaseT::isLoweredToCall(F); 1424 } 1425 1426 bool ARMTTIImpl::maybeLoweredToCall(Instruction &I) { 1427 unsigned ISD = TLI->InstructionOpcodeToISD(I.getOpcode()); 1428 EVT VT = TLI->getValueType(DL, I.getType(), true); 1429 if (TLI->getOperationAction(ISD, VT) == TargetLowering::LibCall) 1430 return true; 1431 1432 // Check if an intrinsic will be lowered to a call and assume that any 1433 // other CallInst will generate a bl. 1434 if (auto *Call = dyn_cast<CallInst>(&I)) { 1435 if (isa<IntrinsicInst>(Call)) { 1436 if (const Function *F = Call->getCalledFunction()) 1437 return isLoweredToCall(F); 1438 } 1439 return true; 1440 } 1441 1442 // FPv5 provides conversions between integer, double-precision, 1443 // single-precision, and half-precision formats. 1444 switch (I.getOpcode()) { 1445 default: 1446 break; 1447 case Instruction::FPToSI: 1448 case Instruction::FPToUI: 1449 case Instruction::SIToFP: 1450 case Instruction::UIToFP: 1451 case Instruction::FPTrunc: 1452 case Instruction::FPExt: 1453 return !ST->hasFPARMv8Base(); 1454 } 1455 1456 // FIXME: Unfortunately the approach of checking the Operation Action does 1457 // not catch all cases of Legalization that use library calls. Our 1458 // Legalization step categorizes some transformations into library calls as 1459 // Custom, Expand or even Legal when doing type legalization. So for now 1460 // we have to special case for instance the SDIV of 64bit integers and the 1461 // use of floating point emulation. 1462 if (VT.isInteger() && VT.getSizeInBits() >= 64) { 1463 switch (ISD) { 1464 default: 1465 break; 1466 case ISD::SDIV: 1467 case ISD::UDIV: 1468 case ISD::SREM: 1469 case ISD::UREM: 1470 case ISD::SDIVREM: 1471 case ISD::UDIVREM: 1472 return true; 1473 } 1474 } 1475 1476 // Assume all other non-float operations are supported. 1477 if (!VT.isFloatingPoint()) 1478 return false; 1479 1480 // We'll need a library call to handle most floats when using soft. 1481 if (TLI->useSoftFloat()) { 1482 switch (I.getOpcode()) { 1483 default: 1484 return true; 1485 case Instruction::Alloca: 1486 case Instruction::Load: 1487 case Instruction::Store: 1488 case Instruction::Select: 1489 case Instruction::PHI: 1490 return false; 1491 } 1492 } 1493 1494 // We'll need a libcall to perform double precision operations on a single 1495 // precision only FPU. 1496 if (I.getType()->isDoubleTy() && !ST->hasFP64()) 1497 return true; 1498 1499 // Likewise for half precision arithmetic. 1500 if (I.getType()->isHalfTy() && !ST->hasFullFP16()) 1501 return true; 1502 1503 return false; 1504 } 1505 1506 bool ARMTTIImpl::isHardwareLoopProfitable(Loop *L, ScalarEvolution &SE, 1507 AssumptionCache &AC, 1508 TargetLibraryInfo *LibInfo, 1509 HardwareLoopInfo &HWLoopInfo) { 1510 // Low-overhead branches are only supported in the 'low-overhead branch' 1511 // extension of v8.1-m. 1512 if (!ST->hasLOB() || DisableLowOverheadLoops) { 1513 LLVM_DEBUG(dbgs() << "ARMHWLoops: Disabled\n"); 1514 return false; 1515 } 1516 1517 if (!SE.hasLoopInvariantBackedgeTakenCount(L)) { 1518 LLVM_DEBUG(dbgs() << "ARMHWLoops: No BETC\n"); 1519 return false; 1520 } 1521 1522 const SCEV *BackedgeTakenCount = SE.getBackedgeTakenCount(L); 1523 if (isa<SCEVCouldNotCompute>(BackedgeTakenCount)) { 1524 LLVM_DEBUG(dbgs() << "ARMHWLoops: Uncomputable BETC\n"); 1525 return false; 1526 } 1527 1528 const SCEV *TripCountSCEV = 1529 SE.getAddExpr(BackedgeTakenCount, 1530 SE.getOne(BackedgeTakenCount->getType())); 1531 1532 // We need to store the trip count in LR, a 32-bit register. 1533 if (SE.getUnsignedRangeMax(TripCountSCEV).getBitWidth() > 32) { 1534 LLVM_DEBUG(dbgs() << "ARMHWLoops: Trip count does not fit into 32bits\n"); 1535 return false; 1536 } 1537 1538 // Making a call will trash LR and clear LO_BRANCH_INFO, so there's little 1539 // point in generating a hardware loop if that's going to happen. 1540 1541 auto IsHardwareLoopIntrinsic = [](Instruction &I) { 1542 if (auto *Call = dyn_cast<IntrinsicInst>(&I)) { 1543 switch (Call->getIntrinsicID()) { 1544 default: 1545 break; 1546 case Intrinsic::set_loop_iterations: 1547 case Intrinsic::test_set_loop_iterations: 1548 case Intrinsic::loop_decrement: 1549 case Intrinsic::loop_decrement_reg: 1550 return true; 1551 } 1552 } 1553 return false; 1554 }; 1555 1556 // Scan the instructions to see if there's any that we know will turn into a 1557 // call or if this loop is already a low-overhead loop. 1558 auto ScanLoop = [&](Loop *L) { 1559 for (auto *BB : L->getBlocks()) { 1560 for (auto &I : *BB) { 1561 if (maybeLoweredToCall(I) || IsHardwareLoopIntrinsic(I)) { 1562 LLVM_DEBUG(dbgs() << "ARMHWLoops: Bad instruction: " << I << "\n"); 1563 return false; 1564 } 1565 } 1566 } 1567 return true; 1568 }; 1569 1570 // Visit inner loops. 1571 for (auto Inner : *L) 1572 if (!ScanLoop(Inner)) 1573 return false; 1574 1575 if (!ScanLoop(L)) 1576 return false; 1577 1578 // TODO: Check whether the trip count calculation is expensive. If L is the 1579 // inner loop but we know it has a low trip count, calculating that trip 1580 // count (in the parent loop) may be detrimental. 1581 1582 LLVMContext &C = L->getHeader()->getContext(); 1583 HWLoopInfo.CounterInReg = true; 1584 HWLoopInfo.IsNestingLegal = false; 1585 HWLoopInfo.PerformEntryTest = true; 1586 HWLoopInfo.CountType = Type::getInt32Ty(C); 1587 HWLoopInfo.LoopDecrement = ConstantInt::get(HWLoopInfo.CountType, 1); 1588 return true; 1589 } 1590 1591 static bool canTailPredicateInstruction(Instruction &I, int &ICmpCount) { 1592 // We don't allow icmp's, and because we only look at single block loops, 1593 // we simply count the icmps, i.e. there should only be 1 for the backedge. 1594 if (isa<ICmpInst>(&I) && ++ICmpCount > 1) 1595 return false; 1596 1597 if (isa<FCmpInst>(&I)) 1598 return false; 1599 1600 // We could allow extending/narrowing FP loads/stores, but codegen is 1601 // too inefficient so reject this for now. 1602 if (isa<FPExtInst>(&I) || isa<FPTruncInst>(&I)) 1603 return false; 1604 1605 // Extends have to be extending-loads 1606 if (isa<SExtInst>(&I) || isa<ZExtInst>(&I) ) 1607 if (!I.getOperand(0)->hasOneUse() || !isa<LoadInst>(I.getOperand(0))) 1608 return false; 1609 1610 // Truncs have to be narrowing-stores 1611 if (isa<TruncInst>(&I) ) 1612 if (!I.hasOneUse() || !isa<StoreInst>(*I.user_begin())) 1613 return false; 1614 1615 return true; 1616 } 1617 1618 // To set up a tail-predicated loop, we need to know the total number of 1619 // elements processed by that loop. Thus, we need to determine the element 1620 // size and: 1621 // 1) it should be uniform for all operations in the vector loop, so we 1622 // e.g. don't want any widening/narrowing operations. 1623 // 2) it should be smaller than i64s because we don't have vector operations 1624 // that work on i64s. 1625 // 3) we don't want elements to be reversed or shuffled, to make sure the 1626 // tail-predication masks/predicates the right lanes. 1627 // 1628 static bool canTailPredicateLoop(Loop *L, LoopInfo *LI, ScalarEvolution &SE, 1629 const DataLayout &DL, 1630 const LoopAccessInfo *LAI) { 1631 LLVM_DEBUG(dbgs() << "Tail-predication: checking allowed instructions\n"); 1632 1633 // If there are live-out values, it is probably a reduction. We can predicate 1634 // most reduction operations freely under MVE using a combination of 1635 // prefer-predicated-reduction-select and inloop reductions. We limit this to 1636 // floating point and integer reductions, but don't check for operators 1637 // specifically here. If the value ends up not being a reduction (and so the 1638 // vectorizer cannot tailfold the loop), we should fall back to standard 1639 // vectorization automatically. 1640 SmallVector< Instruction *, 8 > LiveOuts; 1641 LiveOuts = llvm::findDefsUsedOutsideOfLoop(L); 1642 bool ReductionsDisabled = 1643 EnableTailPredication == TailPredication::EnabledNoReductions || 1644 EnableTailPredication == TailPredication::ForceEnabledNoReductions; 1645 1646 for (auto *I : LiveOuts) { 1647 if (!I->getType()->isIntegerTy() && !I->getType()->isFloatTy() && 1648 !I->getType()->isHalfTy()) { 1649 LLVM_DEBUG(dbgs() << "Don't tail-predicate loop with non-integer/float " 1650 "live-out value\n"); 1651 return false; 1652 } 1653 if (ReductionsDisabled) { 1654 LLVM_DEBUG(dbgs() << "Reductions not enabled\n"); 1655 return false; 1656 } 1657 } 1658 1659 // Next, check that all instructions can be tail-predicated. 1660 PredicatedScalarEvolution PSE = LAI->getPSE(); 1661 SmallVector<Instruction *, 16> LoadStores; 1662 int ICmpCount = 0; 1663 1664 for (BasicBlock *BB : L->blocks()) { 1665 for (Instruction &I : BB->instructionsWithoutDebug()) { 1666 if (isa<PHINode>(&I)) 1667 continue; 1668 if (!canTailPredicateInstruction(I, ICmpCount)) { 1669 LLVM_DEBUG(dbgs() << "Instruction not allowed: "; I.dump()); 1670 return false; 1671 } 1672 1673 Type *T = I.getType(); 1674 if (T->isPointerTy()) 1675 T = T->getPointerElementType(); 1676 1677 if (T->getScalarSizeInBits() > 32) { 1678 LLVM_DEBUG(dbgs() << "Unsupported Type: "; T->dump()); 1679 return false; 1680 } 1681 if (isa<StoreInst>(I) || isa<LoadInst>(I)) { 1682 Value *Ptr = isa<LoadInst>(I) ? I.getOperand(0) : I.getOperand(1); 1683 int64_t NextStride = getPtrStride(PSE, Ptr, L); 1684 if (NextStride == 1) { 1685 // TODO: for now only allow consecutive strides of 1. We could support 1686 // other strides as long as it is uniform, but let's keep it simple 1687 // for now. 1688 continue; 1689 } else if (NextStride == -1 || 1690 (NextStride == 2 && MVEMaxSupportedInterleaveFactor >= 2) || 1691 (NextStride == 4 && MVEMaxSupportedInterleaveFactor >= 4)) { 1692 LLVM_DEBUG(dbgs() 1693 << "Consecutive strides of 2 found, vld2/vstr2 can't " 1694 "be tail-predicated\n."); 1695 return false; 1696 // TODO: don't tail predicate if there is a reversed load? 1697 } else if (EnableMaskedGatherScatters) { 1698 // Gather/scatters do allow loading from arbitrary strides, at 1699 // least if they are loop invariant. 1700 // TODO: Loop variant strides should in theory work, too, but 1701 // this requires further testing. 1702 const SCEV *PtrScev = 1703 replaceSymbolicStrideSCEV(PSE, llvm::ValueToValueMap(), Ptr); 1704 if (auto AR = dyn_cast<SCEVAddRecExpr>(PtrScev)) { 1705 const SCEV *Step = AR->getStepRecurrence(*PSE.getSE()); 1706 if (PSE.getSE()->isLoopInvariant(Step, L)) 1707 continue; 1708 } 1709 } 1710 LLVM_DEBUG(dbgs() << "Bad stride found, can't " 1711 "tail-predicate\n."); 1712 return false; 1713 } 1714 } 1715 } 1716 1717 LLVM_DEBUG(dbgs() << "tail-predication: all instructions allowed!\n"); 1718 return true; 1719 } 1720 1721 bool ARMTTIImpl::preferPredicateOverEpilogue(Loop *L, LoopInfo *LI, 1722 ScalarEvolution &SE, 1723 AssumptionCache &AC, 1724 TargetLibraryInfo *TLI, 1725 DominatorTree *DT, 1726 const LoopAccessInfo *LAI) { 1727 if (!EnableTailPredication) { 1728 LLVM_DEBUG(dbgs() << "Tail-predication not enabled.\n"); 1729 return false; 1730 } 1731 1732 // Creating a predicated vector loop is the first step for generating a 1733 // tail-predicated hardware loop, for which we need the MVE masked 1734 // load/stores instructions: 1735 if (!ST->hasMVEIntegerOps()) 1736 return false; 1737 1738 // For now, restrict this to single block loops. 1739 if (L->getNumBlocks() > 1) { 1740 LLVM_DEBUG(dbgs() << "preferPredicateOverEpilogue: not a single block " 1741 "loop.\n"); 1742 return false; 1743 } 1744 1745 assert(L->empty() && "preferPredicateOverEpilogue: inner-loop expected"); 1746 1747 HardwareLoopInfo HWLoopInfo(L); 1748 if (!HWLoopInfo.canAnalyze(*LI)) { 1749 LLVM_DEBUG(dbgs() << "preferPredicateOverEpilogue: hardware-loop is not " 1750 "analyzable.\n"); 1751 return false; 1752 } 1753 1754 // This checks if we have the low-overhead branch architecture 1755 // extension, and if we will create a hardware-loop: 1756 if (!isHardwareLoopProfitable(L, SE, AC, TLI, HWLoopInfo)) { 1757 LLVM_DEBUG(dbgs() << "preferPredicateOverEpilogue: hardware-loop is not " 1758 "profitable.\n"); 1759 return false; 1760 } 1761 1762 if (!HWLoopInfo.isHardwareLoopCandidate(SE, *LI, *DT)) { 1763 LLVM_DEBUG(dbgs() << "preferPredicateOverEpilogue: hardware-loop is not " 1764 "a candidate.\n"); 1765 return false; 1766 } 1767 1768 return canTailPredicateLoop(L, LI, SE, DL, LAI); 1769 } 1770 1771 bool ARMTTIImpl::emitGetActiveLaneMask() const { 1772 if (!ST->hasMVEIntegerOps() || !EnableTailPredication) 1773 return false; 1774 1775 // Intrinsic @llvm.get.active.lane.mask is supported. 1776 // It is used in the MVETailPredication pass, which requires the number of 1777 // elements processed by this vector loop to setup the tail-predicated 1778 // loop. 1779 return true; 1780 } 1781 void ARMTTIImpl::getUnrollingPreferences(Loop *L, ScalarEvolution &SE, 1782 TTI::UnrollingPreferences &UP) { 1783 // Only currently enable these preferences for M-Class cores. 1784 if (!ST->isMClass()) 1785 return BasicTTIImplBase::getUnrollingPreferences(L, SE, UP); 1786 1787 // Disable loop unrolling for Oz and Os. 1788 UP.OptSizeThreshold = 0; 1789 UP.PartialOptSizeThreshold = 0; 1790 if (L->getHeader()->getParent()->hasOptSize()) 1791 return; 1792 1793 // Only enable on Thumb-2 targets. 1794 if (!ST->isThumb2()) 1795 return; 1796 1797 SmallVector<BasicBlock*, 4> ExitingBlocks; 1798 L->getExitingBlocks(ExitingBlocks); 1799 LLVM_DEBUG(dbgs() << "Loop has:\n" 1800 << "Blocks: " << L->getNumBlocks() << "\n" 1801 << "Exit blocks: " << ExitingBlocks.size() << "\n"); 1802 1803 // Only allow another exit other than the latch. This acts as an early exit 1804 // as it mirrors the profitability calculation of the runtime unroller. 1805 if (ExitingBlocks.size() > 2) 1806 return; 1807 1808 // Limit the CFG of the loop body for targets with a branch predictor. 1809 // Allowing 4 blocks permits if-then-else diamonds in the body. 1810 if (ST->hasBranchPredictor() && L->getNumBlocks() > 4) 1811 return; 1812 1813 // Scan the loop: don't unroll loops with calls as this could prevent 1814 // inlining. 1815 unsigned Cost = 0; 1816 for (auto *BB : L->getBlocks()) { 1817 for (auto &I : *BB) { 1818 // Don't unroll vectorised loop. MVE does not benefit from it as much as 1819 // scalar code. 1820 if (I.getType()->isVectorTy()) 1821 return; 1822 1823 if (isa<CallInst>(I) || isa<InvokeInst>(I)) { 1824 if (const Function *F = cast<CallBase>(I).getCalledFunction()) { 1825 if (!isLoweredToCall(F)) 1826 continue; 1827 } 1828 return; 1829 } 1830 1831 SmallVector<const Value*, 4> Operands(I.value_op_begin(), 1832 I.value_op_end()); 1833 Cost += 1834 getUserCost(&I, Operands, TargetTransformInfo::TCK_SizeAndLatency); 1835 } 1836 } 1837 1838 LLVM_DEBUG(dbgs() << "Cost of loop: " << Cost << "\n"); 1839 1840 UP.Partial = true; 1841 UP.Runtime = true; 1842 UP.UpperBound = true; 1843 UP.UnrollRemainder = true; 1844 UP.DefaultUnrollRuntimeCount = 4; 1845 UP.UnrollAndJam = true; 1846 UP.UnrollAndJamInnerLoopThreshold = 60; 1847 1848 // Force unrolling small loops can be very useful because of the branch 1849 // taken cost of the backedge. 1850 if (Cost < 12) 1851 UP.Force = true; 1852 } 1853 1854 void ARMTTIImpl::getPeelingPreferences(Loop *L, ScalarEvolution &SE, 1855 TTI::PeelingPreferences &PP) { 1856 BaseT::getPeelingPreferences(L, SE, PP); 1857 } 1858 1859 bool ARMTTIImpl::useReductionIntrinsic(unsigned Opcode, Type *Ty, 1860 TTI::ReductionFlags Flags) const { 1861 return ST->hasMVEIntegerOps(); 1862 } 1863 1864 bool ARMTTIImpl::preferPredicatedReductionSelect( 1865 unsigned Opcode, Type *Ty, TTI::ReductionFlags Flags) const { 1866 if (!ST->hasMVEIntegerOps()) 1867 return false; 1868 return true; 1869 } 1870