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/PatternMatch.h" 25 #include "llvm/IR/Type.h" 26 #include "llvm/MC/SubtargetFeature.h" 27 #include "llvm/Support/Casting.h" 28 #include "llvm/Support/MachineValueType.h" 29 #include "llvm/Target/TargetMachine.h" 30 #include <algorithm> 31 #include <cassert> 32 #include <cstdint> 33 #include <utility> 34 35 using namespace llvm; 36 37 #define DEBUG_TYPE "armtti" 38 39 static cl::opt<bool> EnableMaskedLoadStores( 40 "enable-arm-maskedldst", cl::Hidden, cl::init(true), 41 cl::desc("Enable the generation of masked loads and stores")); 42 43 static cl::opt<bool> DisableLowOverheadLoops( 44 "disable-arm-loloops", cl::Hidden, cl::init(false), 45 cl::desc("Disable the generation of low-overhead loops")); 46 47 extern cl::opt<bool> DisableTailPredication; 48 49 extern cl::opt<bool> EnableMaskedGatherScatters; 50 51 bool ARMTTIImpl::areInlineCompatible(const Function *Caller, 52 const Function *Callee) const { 53 const TargetMachine &TM = getTLI()->getTargetMachine(); 54 const FeatureBitset &CallerBits = 55 TM.getSubtargetImpl(*Caller)->getFeatureBits(); 56 const FeatureBitset &CalleeBits = 57 TM.getSubtargetImpl(*Callee)->getFeatureBits(); 58 59 // To inline a callee, all features not in the whitelist must match exactly. 60 bool MatchExact = (CallerBits & ~InlineFeatureWhitelist) == 61 (CalleeBits & ~InlineFeatureWhitelist); 62 // For features in the whitelist, the callee's features must be a subset of 63 // the callers'. 64 bool MatchSubset = ((CallerBits & CalleeBits) & InlineFeatureWhitelist) == 65 (CalleeBits & InlineFeatureWhitelist); 66 return MatchExact && MatchSubset; 67 } 68 69 bool ARMTTIImpl::shouldFavorBackedgeIndex(const Loop *L) const { 70 if (L->getHeader()->getParent()->hasOptSize()) 71 return false; 72 if (ST->hasMVEIntegerOps()) 73 return false; 74 return ST->isMClass() && ST->isThumb2() && L->getNumBlocks() == 1; 75 } 76 77 bool ARMTTIImpl::shouldFavorPostInc() const { 78 if (ST->hasMVEIntegerOps()) 79 return true; 80 return false; 81 } 82 83 int ARMTTIImpl::getIntImmCost(const APInt &Imm, Type *Ty, 84 TTI::TargetCostKind CostKind) { 85 assert(Ty->isIntegerTy()); 86 87 unsigned Bits = Ty->getPrimitiveSizeInBits(); 88 if (Bits == 0 || Imm.getActiveBits() >= 64) 89 return 4; 90 91 int64_t SImmVal = Imm.getSExtValue(); 92 uint64_t ZImmVal = Imm.getZExtValue(); 93 if (!ST->isThumb()) { 94 if ((SImmVal >= 0 && SImmVal < 65536) || 95 (ARM_AM::getSOImmVal(ZImmVal) != -1) || 96 (ARM_AM::getSOImmVal(~ZImmVal) != -1)) 97 return 1; 98 return ST->hasV6T2Ops() ? 2 : 3; 99 } 100 if (ST->isThumb2()) { 101 if ((SImmVal >= 0 && SImmVal < 65536) || 102 (ARM_AM::getT2SOImmVal(ZImmVal) != -1) || 103 (ARM_AM::getT2SOImmVal(~ZImmVal) != -1)) 104 return 1; 105 return ST->hasV6T2Ops() ? 2 : 3; 106 } 107 // Thumb1, any i8 imm cost 1. 108 if (Bits == 8 || (SImmVal >= 0 && SImmVal < 256)) 109 return 1; 110 if ((~SImmVal < 256) || ARM_AM::isThumbImmShiftedVal(ZImmVal)) 111 return 2; 112 // Load from constantpool. 113 return 3; 114 } 115 116 // Constants smaller than 256 fit in the immediate field of 117 // Thumb1 instructions so we return a zero cost and 1 otherwise. 118 int ARMTTIImpl::getIntImmCodeSizeCost(unsigned Opcode, unsigned Idx, 119 const APInt &Imm, Type *Ty) { 120 if (Imm.isNonNegative() && Imm.getLimitedValue() < 256) 121 return 0; 122 123 return 1; 124 } 125 126 int ARMTTIImpl::getIntImmCostInst(unsigned Opcode, unsigned Idx, const APInt &Imm, 127 Type *Ty, TTI::TargetCostKind CostKind) { 128 // Division by a constant can be turned into multiplication, but only if we 129 // know it's constant. So it's not so much that the immediate is cheap (it's 130 // not), but that the alternative is worse. 131 // FIXME: this is probably unneeded with GlobalISel. 132 if ((Opcode == Instruction::SDiv || Opcode == Instruction::UDiv || 133 Opcode == Instruction::SRem || Opcode == Instruction::URem) && 134 Idx == 1) 135 return 0; 136 137 if (Opcode == Instruction::And) { 138 // UXTB/UXTH 139 if (Imm == 255 || Imm == 65535) 140 return 0; 141 // Conversion to BIC is free, and means we can use ~Imm instead. 142 return std::min(getIntImmCost(Imm, Ty, CostKind), 143 getIntImmCost(~Imm, Ty, CostKind)); 144 } 145 146 if (Opcode == Instruction::Add) 147 // Conversion to SUB is free, and means we can use -Imm instead. 148 return std::min(getIntImmCost(Imm, Ty, CostKind), 149 getIntImmCost(-Imm, Ty, CostKind)); 150 151 if (Opcode == Instruction::ICmp && Imm.isNegative() && 152 Ty->getIntegerBitWidth() == 32) { 153 int64_t NegImm = -Imm.getSExtValue(); 154 if (ST->isThumb2() && NegImm < 1<<12) 155 // icmp X, #-C -> cmn X, #C 156 return 0; 157 if (ST->isThumb() && NegImm < 1<<8) 158 // icmp X, #-C -> adds X, #C 159 return 0; 160 } 161 162 // xor a, -1 can always be folded to MVN 163 if (Opcode == Instruction::Xor && Imm.isAllOnesValue()) 164 return 0; 165 166 return getIntImmCost(Imm, Ty, CostKind); 167 } 168 169 int ARMTTIImpl::getCastInstrCost(unsigned Opcode, Type *Dst, Type *Src, 170 TTI::TargetCostKind CostKind, 171 const Instruction *I) { 172 int ISD = TLI->InstructionOpcodeToISD(Opcode); 173 assert(ISD && "Invalid opcode"); 174 175 // Single to/from double precision conversions. 176 static const CostTblEntry NEONFltDblTbl[] = { 177 // Vector fptrunc/fpext conversions. 178 { ISD::FP_ROUND, MVT::v2f64, 2 }, 179 { ISD::FP_EXTEND, MVT::v2f32, 2 }, 180 { ISD::FP_EXTEND, MVT::v4f32, 4 } 181 }; 182 183 if (Src->isVectorTy() && ST->hasNEON() && (ISD == ISD::FP_ROUND || 184 ISD == ISD::FP_EXTEND)) { 185 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Src); 186 if (const auto *Entry = CostTableLookup(NEONFltDblTbl, ISD, LT.second)) 187 return LT.first * Entry->Cost; 188 } 189 190 EVT SrcTy = TLI->getValueType(DL, Src); 191 EVT DstTy = TLI->getValueType(DL, Dst); 192 193 if (!SrcTy.isSimple() || !DstTy.isSimple()) 194 return BaseT::getCastInstrCost(Opcode, Dst, Src, CostKind, I); 195 196 // The extend of a load is free 197 if (I && isa<LoadInst>(I->getOperand(0))) { 198 static const TypeConversionCostTblEntry LoadConversionTbl[] = { 199 {ISD::SIGN_EXTEND, MVT::i32, MVT::i16, 0}, 200 {ISD::ZERO_EXTEND, MVT::i32, MVT::i16, 0}, 201 {ISD::SIGN_EXTEND, MVT::i32, MVT::i8, 0}, 202 {ISD::ZERO_EXTEND, MVT::i32, MVT::i8, 0}, 203 {ISD::SIGN_EXTEND, MVT::i16, MVT::i8, 0}, 204 {ISD::ZERO_EXTEND, MVT::i16, MVT::i8, 0}, 205 {ISD::SIGN_EXTEND, MVT::i64, MVT::i32, 1}, 206 {ISD::ZERO_EXTEND, MVT::i64, MVT::i32, 1}, 207 {ISD::SIGN_EXTEND, MVT::i64, MVT::i16, 1}, 208 {ISD::ZERO_EXTEND, MVT::i64, MVT::i16, 1}, 209 {ISD::SIGN_EXTEND, MVT::i64, MVT::i8, 1}, 210 {ISD::ZERO_EXTEND, MVT::i64, MVT::i8, 1}, 211 }; 212 if (const auto *Entry = ConvertCostTableLookup( 213 LoadConversionTbl, ISD, DstTy.getSimpleVT(), SrcTy.getSimpleVT())) 214 return Entry->Cost; 215 216 static const TypeConversionCostTblEntry MVELoadConversionTbl[] = { 217 {ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i16, 0}, 218 {ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i16, 0}, 219 {ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i8, 0}, 220 {ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i8, 0}, 221 {ISD::SIGN_EXTEND, MVT::v8i16, MVT::v8i8, 0}, 222 {ISD::ZERO_EXTEND, MVT::v8i16, MVT::v8i8, 0}, 223 }; 224 if (SrcTy.isVector() && ST->hasMVEIntegerOps()) { 225 if (const auto *Entry = 226 ConvertCostTableLookup(MVELoadConversionTbl, ISD, 227 DstTy.getSimpleVT(), SrcTy.getSimpleVT())) 228 return Entry->Cost; 229 } 230 } 231 232 // NEON vector operations that can extend their inputs. 233 if ((ISD == ISD::SIGN_EXTEND || ISD == ISD::ZERO_EXTEND) && 234 I && I->hasOneUse() && ST->hasNEON() && SrcTy.isVector()) { 235 static const TypeConversionCostTblEntry NEONDoubleWidthTbl[] = { 236 // vaddl 237 { ISD::ADD, MVT::v4i32, MVT::v4i16, 0 }, 238 { ISD::ADD, MVT::v8i16, MVT::v8i8, 0 }, 239 // vsubl 240 { ISD::SUB, MVT::v4i32, MVT::v4i16, 0 }, 241 { ISD::SUB, MVT::v8i16, MVT::v8i8, 0 }, 242 // vmull 243 { ISD::MUL, MVT::v4i32, MVT::v4i16, 0 }, 244 { ISD::MUL, MVT::v8i16, MVT::v8i8, 0 }, 245 // vshll 246 { ISD::SHL, MVT::v4i32, MVT::v4i16, 0 }, 247 { ISD::SHL, MVT::v8i16, MVT::v8i8, 0 }, 248 }; 249 250 auto *User = cast<Instruction>(*I->user_begin()); 251 int UserISD = TLI->InstructionOpcodeToISD(User->getOpcode()); 252 if (auto *Entry = ConvertCostTableLookup(NEONDoubleWidthTbl, UserISD, 253 DstTy.getSimpleVT(), 254 SrcTy.getSimpleVT())) { 255 return Entry->Cost; 256 } 257 } 258 259 // Some arithmetic, load and store operations have specific instructions 260 // to cast up/down their types automatically at no extra cost. 261 // TODO: Get these tables to know at least what the related operations are. 262 static const TypeConversionCostTblEntry NEONVectorConversionTbl[] = { 263 { ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i16, 1 }, 264 { ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i16, 1 }, 265 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i32, 1 }, 266 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i32, 1 }, 267 { ISD::TRUNCATE, MVT::v4i32, MVT::v4i64, 0 }, 268 { ISD::TRUNCATE, MVT::v4i16, MVT::v4i32, 1 }, 269 270 // The number of vmovl instructions for the extension. 271 { ISD::SIGN_EXTEND, MVT::v8i16, MVT::v8i8, 1 }, 272 { ISD::ZERO_EXTEND, MVT::v8i16, MVT::v8i8, 1 }, 273 { ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i8, 2 }, 274 { ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i8, 2 }, 275 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i8, 3 }, 276 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i8, 3 }, 277 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i16, 2 }, 278 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i16, 2 }, 279 { ISD::SIGN_EXTEND, MVT::v4i64, MVT::v4i16, 3 }, 280 { ISD::ZERO_EXTEND, MVT::v4i64, MVT::v4i16, 3 }, 281 { ISD::SIGN_EXTEND, MVT::v8i32, MVT::v8i8, 3 }, 282 { ISD::ZERO_EXTEND, MVT::v8i32, MVT::v8i8, 3 }, 283 { ISD::SIGN_EXTEND, MVT::v8i64, MVT::v8i8, 7 }, 284 { ISD::ZERO_EXTEND, MVT::v8i64, MVT::v8i8, 7 }, 285 { ISD::SIGN_EXTEND, MVT::v8i64, MVT::v8i16, 6 }, 286 { ISD::ZERO_EXTEND, MVT::v8i64, MVT::v8i16, 6 }, 287 { ISD::SIGN_EXTEND, MVT::v16i32, MVT::v16i8, 6 }, 288 { ISD::ZERO_EXTEND, MVT::v16i32, MVT::v16i8, 6 }, 289 290 // Operations that we legalize using splitting. 291 { ISD::TRUNCATE, MVT::v16i8, MVT::v16i32, 6 }, 292 { ISD::TRUNCATE, MVT::v8i8, MVT::v8i32, 3 }, 293 294 // Vector float <-> i32 conversions. 295 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i32, 1 }, 296 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i32, 1 }, 297 298 { ISD::SINT_TO_FP, MVT::v2f32, MVT::v2i8, 3 }, 299 { ISD::UINT_TO_FP, MVT::v2f32, MVT::v2i8, 3 }, 300 { ISD::SINT_TO_FP, MVT::v2f32, MVT::v2i16, 2 }, 301 { ISD::UINT_TO_FP, MVT::v2f32, MVT::v2i16, 2 }, 302 { ISD::SINT_TO_FP, MVT::v2f32, MVT::v2i32, 1 }, 303 { ISD::UINT_TO_FP, MVT::v2f32, MVT::v2i32, 1 }, 304 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i1, 3 }, 305 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i1, 3 }, 306 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i8, 3 }, 307 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i8, 3 }, 308 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i16, 2 }, 309 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i16, 2 }, 310 { ISD::SINT_TO_FP, MVT::v8f32, MVT::v8i16, 4 }, 311 { ISD::UINT_TO_FP, MVT::v8f32, MVT::v8i16, 4 }, 312 { ISD::SINT_TO_FP, MVT::v8f32, MVT::v8i32, 2 }, 313 { ISD::UINT_TO_FP, MVT::v8f32, MVT::v8i32, 2 }, 314 { ISD::SINT_TO_FP, MVT::v16f32, MVT::v16i16, 8 }, 315 { ISD::UINT_TO_FP, MVT::v16f32, MVT::v16i16, 8 }, 316 { ISD::SINT_TO_FP, MVT::v16f32, MVT::v16i32, 4 }, 317 { ISD::UINT_TO_FP, MVT::v16f32, MVT::v16i32, 4 }, 318 319 { ISD::FP_TO_SINT, MVT::v4i32, MVT::v4f32, 1 }, 320 { ISD::FP_TO_UINT, MVT::v4i32, MVT::v4f32, 1 }, 321 { ISD::FP_TO_SINT, MVT::v4i8, MVT::v4f32, 3 }, 322 { ISD::FP_TO_UINT, MVT::v4i8, MVT::v4f32, 3 }, 323 { ISD::FP_TO_SINT, MVT::v4i16, MVT::v4f32, 2 }, 324 { ISD::FP_TO_UINT, MVT::v4i16, MVT::v4f32, 2 }, 325 326 // Vector double <-> i32 conversions. 327 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 328 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 329 330 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i8, 4 }, 331 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i8, 4 }, 332 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i16, 3 }, 333 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i16, 3 }, 334 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 335 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 336 337 { ISD::FP_TO_SINT, MVT::v2i32, MVT::v2f64, 2 }, 338 { ISD::FP_TO_UINT, MVT::v2i32, MVT::v2f64, 2 }, 339 { ISD::FP_TO_SINT, MVT::v8i16, MVT::v8f32, 4 }, 340 { ISD::FP_TO_UINT, MVT::v8i16, MVT::v8f32, 4 }, 341 { ISD::FP_TO_SINT, MVT::v16i16, MVT::v16f32, 8 }, 342 { ISD::FP_TO_UINT, MVT::v16i16, MVT::v16f32, 8 } 343 }; 344 345 if (SrcTy.isVector() && ST->hasNEON()) { 346 if (const auto *Entry = ConvertCostTableLookup(NEONVectorConversionTbl, ISD, 347 DstTy.getSimpleVT(), 348 SrcTy.getSimpleVT())) 349 return Entry->Cost; 350 } 351 352 // Scalar float to integer conversions. 353 static const TypeConversionCostTblEntry NEONFloatConversionTbl[] = { 354 { ISD::FP_TO_SINT, MVT::i1, MVT::f32, 2 }, 355 { ISD::FP_TO_UINT, MVT::i1, MVT::f32, 2 }, 356 { ISD::FP_TO_SINT, MVT::i1, MVT::f64, 2 }, 357 { ISD::FP_TO_UINT, MVT::i1, MVT::f64, 2 }, 358 { ISD::FP_TO_SINT, MVT::i8, MVT::f32, 2 }, 359 { ISD::FP_TO_UINT, MVT::i8, MVT::f32, 2 }, 360 { ISD::FP_TO_SINT, MVT::i8, MVT::f64, 2 }, 361 { ISD::FP_TO_UINT, MVT::i8, MVT::f64, 2 }, 362 { ISD::FP_TO_SINT, MVT::i16, MVT::f32, 2 }, 363 { ISD::FP_TO_UINT, MVT::i16, MVT::f32, 2 }, 364 { ISD::FP_TO_SINT, MVT::i16, MVT::f64, 2 }, 365 { ISD::FP_TO_UINT, MVT::i16, MVT::f64, 2 }, 366 { ISD::FP_TO_SINT, MVT::i32, MVT::f32, 2 }, 367 { ISD::FP_TO_UINT, MVT::i32, MVT::f32, 2 }, 368 { ISD::FP_TO_SINT, MVT::i32, MVT::f64, 2 }, 369 { ISD::FP_TO_UINT, MVT::i32, MVT::f64, 2 }, 370 { ISD::FP_TO_SINT, MVT::i64, MVT::f32, 10 }, 371 { ISD::FP_TO_UINT, MVT::i64, MVT::f32, 10 }, 372 { ISD::FP_TO_SINT, MVT::i64, MVT::f64, 10 }, 373 { ISD::FP_TO_UINT, MVT::i64, MVT::f64, 10 } 374 }; 375 if (SrcTy.isFloatingPoint() && ST->hasNEON()) { 376 if (const auto *Entry = ConvertCostTableLookup(NEONFloatConversionTbl, ISD, 377 DstTy.getSimpleVT(), 378 SrcTy.getSimpleVT())) 379 return Entry->Cost; 380 } 381 382 // Scalar integer to float conversions. 383 static const TypeConversionCostTblEntry NEONIntegerConversionTbl[] = { 384 { ISD::SINT_TO_FP, MVT::f32, MVT::i1, 2 }, 385 { ISD::UINT_TO_FP, MVT::f32, MVT::i1, 2 }, 386 { ISD::SINT_TO_FP, MVT::f64, MVT::i1, 2 }, 387 { ISD::UINT_TO_FP, MVT::f64, MVT::i1, 2 }, 388 { ISD::SINT_TO_FP, MVT::f32, MVT::i8, 2 }, 389 { ISD::UINT_TO_FP, MVT::f32, MVT::i8, 2 }, 390 { ISD::SINT_TO_FP, MVT::f64, MVT::i8, 2 }, 391 { ISD::UINT_TO_FP, MVT::f64, MVT::i8, 2 }, 392 { ISD::SINT_TO_FP, MVT::f32, MVT::i16, 2 }, 393 { ISD::UINT_TO_FP, MVT::f32, MVT::i16, 2 }, 394 { ISD::SINT_TO_FP, MVT::f64, MVT::i16, 2 }, 395 { ISD::UINT_TO_FP, MVT::f64, MVT::i16, 2 }, 396 { ISD::SINT_TO_FP, MVT::f32, MVT::i32, 2 }, 397 { ISD::UINT_TO_FP, MVT::f32, MVT::i32, 2 }, 398 { ISD::SINT_TO_FP, MVT::f64, MVT::i32, 2 }, 399 { ISD::UINT_TO_FP, MVT::f64, MVT::i32, 2 }, 400 { ISD::SINT_TO_FP, MVT::f32, MVT::i64, 10 }, 401 { ISD::UINT_TO_FP, MVT::f32, MVT::i64, 10 }, 402 { ISD::SINT_TO_FP, MVT::f64, MVT::i64, 10 }, 403 { ISD::UINT_TO_FP, MVT::f64, MVT::i64, 10 } 404 }; 405 406 if (SrcTy.isInteger() && ST->hasNEON()) { 407 if (const auto *Entry = ConvertCostTableLookup(NEONIntegerConversionTbl, 408 ISD, DstTy.getSimpleVT(), 409 SrcTy.getSimpleVT())) 410 return Entry->Cost; 411 } 412 413 // MVE extend costs, taken from codegen tests. i8->i16 or i16->i32 is one 414 // instruction, i8->i32 is two. i64 zexts are an VAND with a constant, sext 415 // are linearised so take more. 416 static const TypeConversionCostTblEntry MVEVectorConversionTbl[] = { 417 { ISD::SIGN_EXTEND, MVT::v8i16, MVT::v8i8, 1 }, 418 { ISD::ZERO_EXTEND, MVT::v8i16, MVT::v8i8, 1 }, 419 { ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i8, 2 }, 420 { ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i8, 2 }, 421 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i8, 10 }, 422 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i8, 2 }, 423 { ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i16, 1 }, 424 { ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i16, 1 }, 425 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i16, 10 }, 426 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i16, 2 }, 427 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i32, 8 }, 428 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i32, 2 }, 429 }; 430 431 if (SrcTy.isVector() && ST->hasMVEIntegerOps()) { 432 if (const auto *Entry = ConvertCostTableLookup(MVEVectorConversionTbl, 433 ISD, DstTy.getSimpleVT(), 434 SrcTy.getSimpleVT())) 435 return Entry->Cost * ST->getMVEVectorCostFactor(); 436 } 437 438 // Scalar integer conversion costs. 439 static const TypeConversionCostTblEntry ARMIntegerConversionTbl[] = { 440 // i16 -> i64 requires two dependent operations. 441 { ISD::SIGN_EXTEND, MVT::i64, MVT::i16, 2 }, 442 443 // Truncates on i64 are assumed to be free. 444 { ISD::TRUNCATE, MVT::i32, MVT::i64, 0 }, 445 { ISD::TRUNCATE, MVT::i16, MVT::i64, 0 }, 446 { ISD::TRUNCATE, MVT::i8, MVT::i64, 0 }, 447 { ISD::TRUNCATE, MVT::i1, MVT::i64, 0 } 448 }; 449 450 if (SrcTy.isInteger()) { 451 if (const auto *Entry = ConvertCostTableLookup(ARMIntegerConversionTbl, ISD, 452 DstTy.getSimpleVT(), 453 SrcTy.getSimpleVT())) 454 return Entry->Cost; 455 } 456 457 int BaseCost = ST->hasMVEIntegerOps() && Src->isVectorTy() 458 ? ST->getMVEVectorCostFactor() 459 : 1; 460 return BaseCost * BaseT::getCastInstrCost(Opcode, Dst, Src, CostKind, I); 461 } 462 463 int ARMTTIImpl::getVectorInstrCost(unsigned Opcode, Type *ValTy, 464 unsigned Index) { 465 // Penalize inserting into an D-subregister. We end up with a three times 466 // lower estimated throughput on swift. 467 if (ST->hasSlowLoadDSubregister() && Opcode == Instruction::InsertElement && 468 ValTy->isVectorTy() && ValTy->getScalarSizeInBits() <= 32) 469 return 3; 470 471 if (ST->hasNEON() && (Opcode == Instruction::InsertElement || 472 Opcode == Instruction::ExtractElement)) { 473 // Cross-class copies are expensive on many microarchitectures, 474 // so assume they are expensive by default. 475 if (cast<VectorType>(ValTy)->getElementType()->isIntegerTy()) 476 return 3; 477 478 // Even if it's not a cross class copy, this likely leads to mixing 479 // of NEON and VFP code and should be therefore penalized. 480 if (ValTy->isVectorTy() && 481 ValTy->getScalarSizeInBits() <= 32) 482 return std::max(BaseT::getVectorInstrCost(Opcode, ValTy, Index), 2U); 483 } 484 485 if (ST->hasMVEIntegerOps() && (Opcode == Instruction::InsertElement || 486 Opcode == Instruction::ExtractElement)) { 487 // We say MVE moves costs at least the MVEVectorCostFactor, even though 488 // they are scalar instructions. This helps prevent mixing scalar and 489 // vector, to prevent vectorising where we end up just scalarising the 490 // result anyway. 491 return std::max(BaseT::getVectorInstrCost(Opcode, ValTy, Index), 492 ST->getMVEVectorCostFactor()) * 493 cast<VectorType>(ValTy)->getNumElements() / 2; 494 } 495 496 return BaseT::getVectorInstrCost(Opcode, ValTy, Index); 497 } 498 499 int ARMTTIImpl::getCmpSelInstrCost(unsigned Opcode, Type *ValTy, Type *CondTy, 500 TTI::TargetCostKind CostKind, 501 const Instruction *I) { 502 int ISD = TLI->InstructionOpcodeToISD(Opcode); 503 // On NEON a vector select gets lowered to vbsl. 504 if (ST->hasNEON() && ValTy->isVectorTy() && ISD == ISD::SELECT) { 505 // Lowering of some vector selects is currently far from perfect. 506 static const TypeConversionCostTblEntry NEONVectorSelectTbl[] = { 507 { ISD::SELECT, MVT::v4i1, MVT::v4i64, 4*4 + 1*2 + 1 }, 508 { ISD::SELECT, MVT::v8i1, MVT::v8i64, 50 }, 509 { ISD::SELECT, MVT::v16i1, MVT::v16i64, 100 } 510 }; 511 512 EVT SelCondTy = TLI->getValueType(DL, CondTy); 513 EVT SelValTy = TLI->getValueType(DL, ValTy); 514 if (SelCondTy.isSimple() && SelValTy.isSimple()) { 515 if (const auto *Entry = ConvertCostTableLookup(NEONVectorSelectTbl, ISD, 516 SelCondTy.getSimpleVT(), 517 SelValTy.getSimpleVT())) 518 return Entry->Cost; 519 } 520 521 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, ValTy); 522 return LT.first; 523 } 524 525 int BaseCost = ST->hasMVEIntegerOps() && ValTy->isVectorTy() 526 ? ST->getMVEVectorCostFactor() 527 : 1; 528 return BaseCost * BaseT::getCmpSelInstrCost(Opcode, ValTy, CondTy, CostKind, 529 I); 530 } 531 532 int ARMTTIImpl::getAddressComputationCost(Type *Ty, ScalarEvolution *SE, 533 const SCEV *Ptr) { 534 // Address computations in vectorized code with non-consecutive addresses will 535 // likely result in more instructions compared to scalar code where the 536 // computation can more often be merged into the index mode. The resulting 537 // extra micro-ops can significantly decrease throughput. 538 unsigned NumVectorInstToHideOverhead = 10; 539 int MaxMergeDistance = 64; 540 541 if (ST->hasNEON()) { 542 if (Ty->isVectorTy() && SE && 543 !BaseT::isConstantStridedAccessLessThan(SE, Ptr, MaxMergeDistance + 1)) 544 return NumVectorInstToHideOverhead; 545 546 // In many cases the address computation is not merged into the instruction 547 // addressing mode. 548 return 1; 549 } 550 return BaseT::getAddressComputationCost(Ty, SE, Ptr); 551 } 552 553 bool ARMTTIImpl::isLegalMaskedLoad(Type *DataTy, MaybeAlign Alignment) { 554 if (!EnableMaskedLoadStores || !ST->hasMVEIntegerOps()) 555 return false; 556 557 if (auto *VecTy = dyn_cast<VectorType>(DataTy)) { 558 // Don't support v2i1 yet. 559 if (VecTy->getNumElements() == 2) 560 return false; 561 562 // We don't support extending fp types. 563 unsigned VecWidth = DataTy->getPrimitiveSizeInBits(); 564 if (VecWidth != 128 && VecTy->getElementType()->isFloatingPointTy()) 565 return false; 566 } 567 568 unsigned EltWidth = DataTy->getScalarSizeInBits(); 569 return (EltWidth == 32 && (!Alignment || Alignment >= 4)) || 570 (EltWidth == 16 && (!Alignment || Alignment >= 2)) || 571 (EltWidth == 8); 572 } 573 574 bool ARMTTIImpl::isLegalMaskedGather(Type *Ty, MaybeAlign Alignment) { 575 if (!EnableMaskedGatherScatters || !ST->hasMVEIntegerOps()) 576 return false; 577 578 // This method is called in 2 places: 579 // - from the vectorizer with a scalar type, in which case we need to get 580 // this as good as we can with the limited info we have (and rely on the cost 581 // model for the rest). 582 // - from the masked intrinsic lowering pass with the actual vector type. 583 // For MVE, we have a custom lowering pass that will already have custom 584 // legalised any gathers that we can to MVE intrinsics, and want to expand all 585 // the rest. The pass runs before the masked intrinsic lowering pass, so if we 586 // are here, we know we want to expand. 587 if (isa<VectorType>(Ty)) 588 return false; 589 590 unsigned EltWidth = Ty->getScalarSizeInBits(); 591 return ((EltWidth == 32 && (!Alignment || Alignment >= 4)) || 592 (EltWidth == 16 && (!Alignment || Alignment >= 2)) || EltWidth == 8); 593 } 594 595 int ARMTTIImpl::getMemcpyCost(const Instruction *I) { 596 const MemCpyInst *MI = dyn_cast<MemCpyInst>(I); 597 assert(MI && "MemcpyInst expected"); 598 ConstantInt *C = dyn_cast<ConstantInt>(MI->getLength()); 599 600 // To model the cost of a library call, we assume 1 for the call, and 601 // 3 for the argument setup. 602 const unsigned LibCallCost = 4; 603 604 // If 'size' is not a constant, a library call will be generated. 605 if (!C) 606 return LibCallCost; 607 608 const unsigned Size = C->getValue().getZExtValue(); 609 const Align DstAlign = *MI->getDestAlign(); 610 const Align SrcAlign = *MI->getSourceAlign(); 611 const Function *F = I->getParent()->getParent(); 612 const unsigned Limit = TLI->getMaxStoresPerMemmove(F->hasMinSize()); 613 std::vector<EVT> MemOps; 614 615 // MemOps will be poplulated with a list of data types that needs to be 616 // loaded and stored. That's why we multiply the number of elements by 2 to 617 // get the cost for this memcpy. 618 if (getTLI()->findOptimalMemOpLowering( 619 MemOps, Limit, 620 MemOp::Copy(Size, /*DstAlignCanChange*/ false, DstAlign, SrcAlign, 621 /*IsVolatile*/ true), 622 MI->getDestAddressSpace(), MI->getSourceAddressSpace(), 623 F->getAttributes())) 624 return MemOps.size() * 2; 625 626 // If we can't find an optimal memop lowering, return the default cost 627 return LibCallCost; 628 } 629 630 int ARMTTIImpl::getShuffleCost(TTI::ShuffleKind Kind, VectorType *Tp, 631 int Index, VectorType *SubTp) { 632 if (ST->hasNEON()) { 633 if (Kind == TTI::SK_Broadcast) { 634 static const CostTblEntry NEONDupTbl[] = { 635 // VDUP handles these cases. 636 {ISD::VECTOR_SHUFFLE, MVT::v2i32, 1}, 637 {ISD::VECTOR_SHUFFLE, MVT::v2f32, 1}, 638 {ISD::VECTOR_SHUFFLE, MVT::v2i64, 1}, 639 {ISD::VECTOR_SHUFFLE, MVT::v2f64, 1}, 640 {ISD::VECTOR_SHUFFLE, MVT::v4i16, 1}, 641 {ISD::VECTOR_SHUFFLE, MVT::v8i8, 1}, 642 643 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 1}, 644 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 1}, 645 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 1}, 646 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 1}}; 647 648 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 649 650 if (const auto *Entry = 651 CostTableLookup(NEONDupTbl, ISD::VECTOR_SHUFFLE, LT.second)) 652 return LT.first * Entry->Cost; 653 } 654 if (Kind == TTI::SK_Reverse) { 655 static const CostTblEntry NEONShuffleTbl[] = { 656 // Reverse shuffle cost one instruction if we are shuffling within a 657 // double word (vrev) or two if we shuffle a quad word (vrev, vext). 658 {ISD::VECTOR_SHUFFLE, MVT::v2i32, 1}, 659 {ISD::VECTOR_SHUFFLE, MVT::v2f32, 1}, 660 {ISD::VECTOR_SHUFFLE, MVT::v2i64, 1}, 661 {ISD::VECTOR_SHUFFLE, MVT::v2f64, 1}, 662 {ISD::VECTOR_SHUFFLE, MVT::v4i16, 1}, 663 {ISD::VECTOR_SHUFFLE, MVT::v8i8, 1}, 664 665 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 2}, 666 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 2}, 667 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 2}, 668 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 2}}; 669 670 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 671 672 if (const auto *Entry = 673 CostTableLookup(NEONShuffleTbl, ISD::VECTOR_SHUFFLE, LT.second)) 674 return LT.first * Entry->Cost; 675 } 676 if (Kind == TTI::SK_Select) { 677 static const CostTblEntry NEONSelShuffleTbl[] = { 678 // Select shuffle cost table for ARM. Cost is the number of 679 // instructions 680 // required to create the shuffled vector. 681 682 {ISD::VECTOR_SHUFFLE, MVT::v2f32, 1}, 683 {ISD::VECTOR_SHUFFLE, MVT::v2i64, 1}, 684 {ISD::VECTOR_SHUFFLE, MVT::v2f64, 1}, 685 {ISD::VECTOR_SHUFFLE, MVT::v2i32, 1}, 686 687 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 2}, 688 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 2}, 689 {ISD::VECTOR_SHUFFLE, MVT::v4i16, 2}, 690 691 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 16}, 692 693 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 32}}; 694 695 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 696 if (const auto *Entry = CostTableLookup(NEONSelShuffleTbl, 697 ISD::VECTOR_SHUFFLE, LT.second)) 698 return LT.first * Entry->Cost; 699 } 700 } 701 if (ST->hasMVEIntegerOps()) { 702 if (Kind == TTI::SK_Broadcast) { 703 static const CostTblEntry MVEDupTbl[] = { 704 // VDUP handles these cases. 705 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 1}, 706 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 1}, 707 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 1}, 708 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 1}, 709 {ISD::VECTOR_SHUFFLE, MVT::v8f16, 1}}; 710 711 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 712 713 if (const auto *Entry = CostTableLookup(MVEDupTbl, ISD::VECTOR_SHUFFLE, 714 LT.second)) 715 return LT.first * Entry->Cost * ST->getMVEVectorCostFactor(); 716 } 717 } 718 int BaseCost = ST->hasMVEIntegerOps() && Tp->isVectorTy() 719 ? ST->getMVEVectorCostFactor() 720 : 1; 721 return BaseCost * BaseT::getShuffleCost(Kind, Tp, Index, SubTp); 722 } 723 724 int ARMTTIImpl::getArithmeticInstrCost(unsigned Opcode, Type *Ty, 725 TTI::TargetCostKind CostKind, 726 TTI::OperandValueKind Op1Info, 727 TTI::OperandValueKind Op2Info, 728 TTI::OperandValueProperties Opd1PropInfo, 729 TTI::OperandValueProperties Opd2PropInfo, 730 ArrayRef<const Value *> Args, 731 const Instruction *CxtI) { 732 int ISDOpcode = TLI->InstructionOpcodeToISD(Opcode); 733 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Ty); 734 735 if (ST->hasNEON()) { 736 const unsigned FunctionCallDivCost = 20; 737 const unsigned ReciprocalDivCost = 10; 738 static const CostTblEntry CostTbl[] = { 739 // Division. 740 // These costs are somewhat random. Choose a cost of 20 to indicate that 741 // vectorizing devision (added function call) is going to be very expensive. 742 // Double registers types. 743 { ISD::SDIV, MVT::v1i64, 1 * FunctionCallDivCost}, 744 { ISD::UDIV, MVT::v1i64, 1 * FunctionCallDivCost}, 745 { ISD::SREM, MVT::v1i64, 1 * FunctionCallDivCost}, 746 { ISD::UREM, MVT::v1i64, 1 * FunctionCallDivCost}, 747 { ISD::SDIV, MVT::v2i32, 2 * FunctionCallDivCost}, 748 { ISD::UDIV, MVT::v2i32, 2 * FunctionCallDivCost}, 749 { ISD::SREM, MVT::v2i32, 2 * FunctionCallDivCost}, 750 { ISD::UREM, MVT::v2i32, 2 * FunctionCallDivCost}, 751 { ISD::SDIV, MVT::v4i16, ReciprocalDivCost}, 752 { ISD::UDIV, MVT::v4i16, ReciprocalDivCost}, 753 { ISD::SREM, MVT::v4i16, 4 * FunctionCallDivCost}, 754 { ISD::UREM, MVT::v4i16, 4 * FunctionCallDivCost}, 755 { ISD::SDIV, MVT::v8i8, ReciprocalDivCost}, 756 { ISD::UDIV, MVT::v8i8, ReciprocalDivCost}, 757 { ISD::SREM, MVT::v8i8, 8 * FunctionCallDivCost}, 758 { ISD::UREM, MVT::v8i8, 8 * FunctionCallDivCost}, 759 // Quad register types. 760 { ISD::SDIV, MVT::v2i64, 2 * FunctionCallDivCost}, 761 { ISD::UDIV, MVT::v2i64, 2 * FunctionCallDivCost}, 762 { ISD::SREM, MVT::v2i64, 2 * FunctionCallDivCost}, 763 { ISD::UREM, MVT::v2i64, 2 * FunctionCallDivCost}, 764 { ISD::SDIV, MVT::v4i32, 4 * FunctionCallDivCost}, 765 { ISD::UDIV, MVT::v4i32, 4 * FunctionCallDivCost}, 766 { ISD::SREM, MVT::v4i32, 4 * FunctionCallDivCost}, 767 { ISD::UREM, MVT::v4i32, 4 * FunctionCallDivCost}, 768 { ISD::SDIV, MVT::v8i16, 8 * FunctionCallDivCost}, 769 { ISD::UDIV, MVT::v8i16, 8 * FunctionCallDivCost}, 770 { ISD::SREM, MVT::v8i16, 8 * FunctionCallDivCost}, 771 { ISD::UREM, MVT::v8i16, 8 * FunctionCallDivCost}, 772 { ISD::SDIV, MVT::v16i8, 16 * FunctionCallDivCost}, 773 { ISD::UDIV, MVT::v16i8, 16 * FunctionCallDivCost}, 774 { ISD::SREM, MVT::v16i8, 16 * FunctionCallDivCost}, 775 { ISD::UREM, MVT::v16i8, 16 * FunctionCallDivCost}, 776 // Multiplication. 777 }; 778 779 if (const auto *Entry = CostTableLookup(CostTbl, ISDOpcode, LT.second)) 780 return LT.first * Entry->Cost; 781 782 int Cost = BaseT::getArithmeticInstrCost(Opcode, Ty, CostKind, Op1Info, 783 Op2Info, 784 Opd1PropInfo, Opd2PropInfo); 785 786 // This is somewhat of a hack. The problem that we are facing is that SROA 787 // creates a sequence of shift, and, or instructions to construct values. 788 // These sequences are recognized by the ISel and have zero-cost. Not so for 789 // the vectorized code. Because we have support for v2i64 but not i64 those 790 // sequences look particularly beneficial to vectorize. 791 // To work around this we increase the cost of v2i64 operations to make them 792 // seem less beneficial. 793 if (LT.second == MVT::v2i64 && 794 Op2Info == TargetTransformInfo::OK_UniformConstantValue) 795 Cost += 4; 796 797 return Cost; 798 } 799 800 // If this operation is a shift on arm/thumb2, it might well be folded into 801 // the following instruction, hence having a cost of 0. 802 auto LooksLikeAFreeShift = [&]() { 803 if (ST->isThumb1Only() || Ty->isVectorTy()) 804 return false; 805 806 if (!CxtI || !CxtI->hasOneUse() || !CxtI->isShift()) 807 return false; 808 if (Op2Info != TargetTransformInfo::OK_UniformConstantValue) 809 return false; 810 811 // Folded into a ADC/ADD/AND/BIC/CMP/EOR/MVN/ORR/ORN/RSB/SBC/SUB 812 switch (cast<Instruction>(CxtI->user_back())->getOpcode()) { 813 case Instruction::Add: 814 case Instruction::Sub: 815 case Instruction::And: 816 case Instruction::Xor: 817 case Instruction::Or: 818 case Instruction::ICmp: 819 return true; 820 default: 821 return false; 822 } 823 }; 824 if (LooksLikeAFreeShift()) 825 return 0; 826 827 int BaseCost = ST->hasMVEIntegerOps() && Ty->isVectorTy() 828 ? ST->getMVEVectorCostFactor() 829 : 1; 830 831 // The rest of this mostly follows what is done in BaseT::getArithmeticInstrCost, 832 // without treating floats as more expensive that scalars or increasing the 833 // costs for custom operations. The results is also multiplied by the 834 // MVEVectorCostFactor where appropriate. 835 if (TLI->isOperationLegalOrCustomOrPromote(ISDOpcode, LT.second)) 836 return LT.first * BaseCost; 837 838 // Else this is expand, assume that we need to scalarize this op. 839 if (auto *VTy = dyn_cast<VectorType>(Ty)) { 840 unsigned Num = VTy->getNumElements(); 841 unsigned Cost = getArithmeticInstrCost(Opcode, Ty->getScalarType(), 842 CostKind); 843 // Return the cost of multiple scalar invocation plus the cost of 844 // inserting and extracting the values. 845 return BaseT::getScalarizationOverhead(VTy, Args) + Num * Cost; 846 } 847 848 return BaseCost; 849 } 850 851 int ARMTTIImpl::getMemoryOpCost(unsigned Opcode, Type *Src, 852 MaybeAlign Alignment, unsigned AddressSpace, 853 TTI::TargetCostKind CostKind, 854 const Instruction *I) { 855 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Src); 856 857 if (ST->hasNEON() && Src->isVectorTy() && 858 (Alignment && *Alignment != Align(16)) && 859 cast<VectorType>(Src)->getElementType()->isDoubleTy()) { 860 // Unaligned loads/stores are extremely inefficient. 861 // We need 4 uops for vst.1/vld.1 vs 1uop for vldr/vstr. 862 return LT.first * 4; 863 } 864 int BaseCost = ST->hasMVEIntegerOps() && Src->isVectorTy() 865 ? ST->getMVEVectorCostFactor() 866 : 1; 867 return BaseCost * LT.first; 868 } 869 870 int ARMTTIImpl::getInterleavedMemoryOpCost( 871 unsigned Opcode, Type *VecTy, unsigned Factor, ArrayRef<unsigned> Indices, 872 unsigned Alignment, unsigned AddressSpace, 873 TTI::TargetCostKind CostKind, 874 bool UseMaskForCond, bool UseMaskForGaps) { 875 assert(Factor >= 2 && "Invalid interleave factor"); 876 assert(isa<VectorType>(VecTy) && "Expect a vector type"); 877 878 // vldN/vstN doesn't support vector types of i64/f64 element. 879 bool EltIs64Bits = DL.getTypeSizeInBits(VecTy->getScalarType()) == 64; 880 881 if (Factor <= TLI->getMaxSupportedInterleaveFactor() && !EltIs64Bits && 882 !UseMaskForCond && !UseMaskForGaps) { 883 unsigned NumElts = cast<VectorType>(VecTy)->getNumElements(); 884 auto *SubVecTy = VectorType::get(VecTy->getScalarType(), NumElts / Factor); 885 886 // vldN/vstN only support legal vector types of size 64 or 128 in bits. 887 // Accesses having vector types that are a multiple of 128 bits can be 888 // matched to more than one vldN/vstN instruction. 889 int BaseCost = ST->hasMVEIntegerOps() ? ST->getMVEVectorCostFactor() : 1; 890 if (NumElts % Factor == 0 && 891 TLI->isLegalInterleavedAccessType(Factor, SubVecTy, DL)) 892 return Factor * BaseCost * TLI->getNumInterleavedAccesses(SubVecTy, DL); 893 894 // Some smaller than legal interleaved patterns are cheap as we can make 895 // use of the vmovn or vrev patterns to interleave a standard load. This is 896 // true for v4i8, v8i8 and v4i16 at least (but not for v4f16 as it is 897 // promoted differently). The cost of 2 here is then a load and vrev or 898 // vmovn. 899 if (ST->hasMVEIntegerOps() && Factor == 2 && NumElts / Factor > 2 && 900 VecTy->isIntOrIntVectorTy() && DL.getTypeSizeInBits(SubVecTy) <= 64) 901 return 2 * BaseCost; 902 } 903 904 return BaseT::getInterleavedMemoryOpCost(Opcode, VecTy, Factor, Indices, 905 Alignment, AddressSpace, CostKind, 906 UseMaskForCond, UseMaskForGaps); 907 } 908 909 unsigned ARMTTIImpl::getGatherScatterOpCost(unsigned Opcode, Type *DataTy, 910 Value *Ptr, bool VariableMask, 911 unsigned Alignment, 912 TTI::TargetCostKind CostKind, 913 const Instruction *I) { 914 using namespace PatternMatch; 915 if (!ST->hasMVEIntegerOps() || !EnableMaskedGatherScatters) 916 return BaseT::getGatherScatterOpCost(Opcode, DataTy, Ptr, VariableMask, 917 Alignment, CostKind, I); 918 919 assert(DataTy->isVectorTy() && "Can't do gather/scatters on scalar!"); 920 VectorType *VTy = cast<VectorType>(DataTy); 921 922 // TODO: Splitting, once we do that. 923 924 unsigned NumElems = VTy->getNumElements(); 925 unsigned EltSize = VTy->getScalarSizeInBits(); 926 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, DataTy); 927 928 // For now, it is assumed that for the MVE gather instructions the loads are 929 // all effectively serialised. This means the cost is the scalar cost 930 // multiplied by the number of elements being loaded. This is possibly very 931 // conservative, but even so we still end up vectorising loops because the 932 // cost per iteration for many loops is lower than for scalar loops. 933 unsigned VectorCost = NumElems * LT.first; 934 // The scalarization cost should be a lot higher. We use the number of vector 935 // elements plus the scalarization overhead. 936 unsigned ScalarCost = 937 NumElems * LT.first + BaseT::getScalarizationOverhead(VTy, {}); 938 939 if (Alignment < EltSize / 8) 940 return ScalarCost; 941 942 unsigned ExtSize = EltSize; 943 // Check whether there's a single user that asks for an extended type 944 if (I != nullptr) { 945 // Dependent of the caller of this function, a gather instruction will 946 // either have opcode Instruction::Load or be a call to the masked_gather 947 // intrinsic 948 if ((I->getOpcode() == Instruction::Load || 949 match(I, m_Intrinsic<Intrinsic::masked_gather>())) && 950 I->hasOneUse()) { 951 const User *Us = *I->users().begin(); 952 if (isa<ZExtInst>(Us) || isa<SExtInst>(Us)) { 953 // only allow valid type combinations 954 unsigned TypeSize = 955 cast<Instruction>(Us)->getType()->getScalarSizeInBits(); 956 if (((TypeSize == 32 && (EltSize == 8 || EltSize == 16)) || 957 (TypeSize == 16 && EltSize == 8)) && 958 TypeSize * NumElems == 128) { 959 ExtSize = TypeSize; 960 } 961 } 962 } 963 // Check whether the input data needs to be truncated 964 TruncInst *T; 965 if ((I->getOpcode() == Instruction::Store || 966 match(I, m_Intrinsic<Intrinsic::masked_scatter>())) && 967 (T = dyn_cast<TruncInst>(I->getOperand(0)))) { 968 // Only allow valid type combinations 969 unsigned TypeSize = T->getOperand(0)->getType()->getScalarSizeInBits(); 970 if (((EltSize == 16 && TypeSize == 32) || 971 (EltSize == 8 && (TypeSize == 32 || TypeSize == 16))) && 972 TypeSize * NumElems == 128) 973 ExtSize = TypeSize; 974 } 975 } 976 977 if (ExtSize * NumElems != 128 || NumElems < 4) 978 return ScalarCost; 979 980 // Any (aligned) i32 gather will not need to be scalarised. 981 if (ExtSize == 32) 982 return VectorCost; 983 // For smaller types, we need to ensure that the gep's inputs are correctly 984 // extended from a small enough value. Other sizes (including i64) are 985 // scalarized for now. 986 if (ExtSize != 8 && ExtSize != 16) 987 return ScalarCost; 988 989 if (auto BC = dyn_cast<BitCastInst>(Ptr)) 990 Ptr = BC->getOperand(0); 991 if (auto *GEP = dyn_cast<GetElementPtrInst>(Ptr)) { 992 if (GEP->getNumOperands() != 2) 993 return ScalarCost; 994 unsigned Scale = DL.getTypeAllocSize(GEP->getResultElementType()); 995 // Scale needs to be correct (which is only relevant for i16s). 996 if (Scale != 1 && Scale * 8 != ExtSize) 997 return ScalarCost; 998 // And we need to zext (not sext) the indexes from a small enough type. 999 if (auto ZExt = dyn_cast<ZExtInst>(GEP->getOperand(1))) { 1000 if (ZExt->getOperand(0)->getType()->getScalarSizeInBits() <= ExtSize) 1001 return VectorCost; 1002 } 1003 return ScalarCost; 1004 } 1005 return ScalarCost; 1006 } 1007 1008 bool ARMTTIImpl::isLoweredToCall(const Function *F) { 1009 if (!F->isIntrinsic()) 1010 BaseT::isLoweredToCall(F); 1011 1012 // Assume all Arm-specific intrinsics map to an instruction. 1013 if (F->getName().startswith("llvm.arm")) 1014 return false; 1015 1016 switch (F->getIntrinsicID()) { 1017 default: break; 1018 case Intrinsic::powi: 1019 case Intrinsic::sin: 1020 case Intrinsic::cos: 1021 case Intrinsic::pow: 1022 case Intrinsic::log: 1023 case Intrinsic::log10: 1024 case Intrinsic::log2: 1025 case Intrinsic::exp: 1026 case Intrinsic::exp2: 1027 return true; 1028 case Intrinsic::sqrt: 1029 case Intrinsic::fabs: 1030 case Intrinsic::copysign: 1031 case Intrinsic::floor: 1032 case Intrinsic::ceil: 1033 case Intrinsic::trunc: 1034 case Intrinsic::rint: 1035 case Intrinsic::nearbyint: 1036 case Intrinsic::round: 1037 case Intrinsic::canonicalize: 1038 case Intrinsic::lround: 1039 case Intrinsic::llround: 1040 case Intrinsic::lrint: 1041 case Intrinsic::llrint: 1042 if (F->getReturnType()->isDoubleTy() && !ST->hasFP64()) 1043 return true; 1044 if (F->getReturnType()->isHalfTy() && !ST->hasFullFP16()) 1045 return true; 1046 // Some operations can be handled by vector instructions and assume 1047 // unsupported vectors will be expanded into supported scalar ones. 1048 // TODO Handle scalar operations properly. 1049 return !ST->hasFPARMv8Base() && !ST->hasVFP2Base(); 1050 case Intrinsic::masked_store: 1051 case Intrinsic::masked_load: 1052 case Intrinsic::masked_gather: 1053 case Intrinsic::masked_scatter: 1054 return !ST->hasMVEIntegerOps(); 1055 case Intrinsic::sadd_with_overflow: 1056 case Intrinsic::uadd_with_overflow: 1057 case Intrinsic::ssub_with_overflow: 1058 case Intrinsic::usub_with_overflow: 1059 case Intrinsic::sadd_sat: 1060 case Intrinsic::uadd_sat: 1061 case Intrinsic::ssub_sat: 1062 case Intrinsic::usub_sat: 1063 return false; 1064 } 1065 1066 return BaseT::isLoweredToCall(F); 1067 } 1068 1069 bool ARMTTIImpl::isHardwareLoopProfitable(Loop *L, ScalarEvolution &SE, 1070 AssumptionCache &AC, 1071 TargetLibraryInfo *LibInfo, 1072 HardwareLoopInfo &HWLoopInfo) { 1073 // Low-overhead branches are only supported in the 'low-overhead branch' 1074 // extension of v8.1-m. 1075 if (!ST->hasLOB() || DisableLowOverheadLoops) { 1076 LLVM_DEBUG(dbgs() << "ARMHWLoops: Disabled\n"); 1077 return false; 1078 } 1079 1080 if (!SE.hasLoopInvariantBackedgeTakenCount(L)) { 1081 LLVM_DEBUG(dbgs() << "ARMHWLoops: No BETC\n"); 1082 return false; 1083 } 1084 1085 const SCEV *BackedgeTakenCount = SE.getBackedgeTakenCount(L); 1086 if (isa<SCEVCouldNotCompute>(BackedgeTakenCount)) { 1087 LLVM_DEBUG(dbgs() << "ARMHWLoops: Uncomputable BETC\n"); 1088 return false; 1089 } 1090 1091 const SCEV *TripCountSCEV = 1092 SE.getAddExpr(BackedgeTakenCount, 1093 SE.getOne(BackedgeTakenCount->getType())); 1094 1095 // We need to store the trip count in LR, a 32-bit register. 1096 if (SE.getUnsignedRangeMax(TripCountSCEV).getBitWidth() > 32) { 1097 LLVM_DEBUG(dbgs() << "ARMHWLoops: Trip count does not fit into 32bits\n"); 1098 return false; 1099 } 1100 1101 // Making a call will trash LR and clear LO_BRANCH_INFO, so there's little 1102 // point in generating a hardware loop if that's going to happen. 1103 auto MaybeCall = [this](Instruction &I) { 1104 const ARMTargetLowering *TLI = getTLI(); 1105 unsigned ISD = TLI->InstructionOpcodeToISD(I.getOpcode()); 1106 EVT VT = TLI->getValueType(DL, I.getType(), true); 1107 if (TLI->getOperationAction(ISD, VT) == TargetLowering::LibCall) 1108 return true; 1109 1110 // Check if an intrinsic will be lowered to a call and assume that any 1111 // other CallInst will generate a bl. 1112 if (auto *Call = dyn_cast<CallInst>(&I)) { 1113 if (isa<IntrinsicInst>(Call)) { 1114 if (const Function *F = Call->getCalledFunction()) 1115 return isLoweredToCall(F); 1116 } 1117 return true; 1118 } 1119 1120 // FPv5 provides conversions between integer, double-precision, 1121 // single-precision, and half-precision formats. 1122 switch (I.getOpcode()) { 1123 default: 1124 break; 1125 case Instruction::FPToSI: 1126 case Instruction::FPToUI: 1127 case Instruction::SIToFP: 1128 case Instruction::UIToFP: 1129 case Instruction::FPTrunc: 1130 case Instruction::FPExt: 1131 return !ST->hasFPARMv8Base(); 1132 } 1133 1134 // FIXME: Unfortunately the approach of checking the Operation Action does 1135 // not catch all cases of Legalization that use library calls. Our 1136 // Legalization step categorizes some transformations into library calls as 1137 // Custom, Expand or even Legal when doing type legalization. So for now 1138 // we have to special case for instance the SDIV of 64bit integers and the 1139 // use of floating point emulation. 1140 if (VT.isInteger() && VT.getSizeInBits() >= 64) { 1141 switch (ISD) { 1142 default: 1143 break; 1144 case ISD::SDIV: 1145 case ISD::UDIV: 1146 case ISD::SREM: 1147 case ISD::UREM: 1148 case ISD::SDIVREM: 1149 case ISD::UDIVREM: 1150 return true; 1151 } 1152 } 1153 1154 // Assume all other non-float operations are supported. 1155 if (!VT.isFloatingPoint()) 1156 return false; 1157 1158 // We'll need a library call to handle most floats when using soft. 1159 if (TLI->useSoftFloat()) { 1160 switch (I.getOpcode()) { 1161 default: 1162 return true; 1163 case Instruction::Alloca: 1164 case Instruction::Load: 1165 case Instruction::Store: 1166 case Instruction::Select: 1167 case Instruction::PHI: 1168 return false; 1169 } 1170 } 1171 1172 // We'll need a libcall to perform double precision operations on a single 1173 // precision only FPU. 1174 if (I.getType()->isDoubleTy() && !ST->hasFP64()) 1175 return true; 1176 1177 // Likewise for half precision arithmetic. 1178 if (I.getType()->isHalfTy() && !ST->hasFullFP16()) 1179 return true; 1180 1181 return false; 1182 }; 1183 1184 auto IsHardwareLoopIntrinsic = [](Instruction &I) { 1185 if (auto *Call = dyn_cast<IntrinsicInst>(&I)) { 1186 switch (Call->getIntrinsicID()) { 1187 default: 1188 break; 1189 case Intrinsic::set_loop_iterations: 1190 case Intrinsic::test_set_loop_iterations: 1191 case Intrinsic::loop_decrement: 1192 case Intrinsic::loop_decrement_reg: 1193 return true; 1194 } 1195 } 1196 return false; 1197 }; 1198 1199 // Scan the instructions to see if there's any that we know will turn into a 1200 // call or if this loop is already a low-overhead loop. 1201 auto ScanLoop = [&](Loop *L) { 1202 for (auto *BB : L->getBlocks()) { 1203 for (auto &I : *BB) { 1204 if (MaybeCall(I) || IsHardwareLoopIntrinsic(I)) { 1205 LLVM_DEBUG(dbgs() << "ARMHWLoops: Bad instruction: " << I << "\n"); 1206 return false; 1207 } 1208 } 1209 } 1210 return true; 1211 }; 1212 1213 // Visit inner loops. 1214 for (auto Inner : *L) 1215 if (!ScanLoop(Inner)) 1216 return false; 1217 1218 if (!ScanLoop(L)) 1219 return false; 1220 1221 // TODO: Check whether the trip count calculation is expensive. If L is the 1222 // inner loop but we know it has a low trip count, calculating that trip 1223 // count (in the parent loop) may be detrimental. 1224 1225 LLVMContext &C = L->getHeader()->getContext(); 1226 HWLoopInfo.CounterInReg = true; 1227 HWLoopInfo.IsNestingLegal = false; 1228 HWLoopInfo.PerformEntryTest = true; 1229 HWLoopInfo.CountType = Type::getInt32Ty(C); 1230 HWLoopInfo.LoopDecrement = ConstantInt::get(HWLoopInfo.CountType, 1); 1231 return true; 1232 } 1233 1234 static bool canTailPredicateInstruction(Instruction &I, int &ICmpCount) { 1235 // We don't allow icmp's, and because we only look at single block loops, 1236 // we simply count the icmps, i.e. there should only be 1 for the backedge. 1237 if (isa<ICmpInst>(&I) && ++ICmpCount > 1) 1238 return false; 1239 1240 if (isa<FCmpInst>(&I)) 1241 return false; 1242 1243 // We could allow extending/narrowing FP loads/stores, but codegen is 1244 // too inefficient so reject this for now. 1245 if (isa<FPExtInst>(&I) || isa<FPTruncInst>(&I)) 1246 return false; 1247 1248 // Extends have to be extending-loads 1249 if (isa<SExtInst>(&I) || isa<ZExtInst>(&I) ) 1250 if (!I.getOperand(0)->hasOneUse() || !isa<LoadInst>(I.getOperand(0))) 1251 return false; 1252 1253 // Truncs have to be narrowing-stores 1254 if (isa<TruncInst>(&I) ) 1255 if (!I.hasOneUse() || !isa<StoreInst>(*I.user_begin())) 1256 return false; 1257 1258 return true; 1259 } 1260 1261 // To set up a tail-predicated loop, we need to know the total number of 1262 // elements processed by that loop. Thus, we need to determine the element 1263 // size and: 1264 // 1) it should be uniform for all operations in the vector loop, so we 1265 // e.g. don't want any widening/narrowing operations. 1266 // 2) it should be smaller than i64s because we don't have vector operations 1267 // that work on i64s. 1268 // 3) we don't want elements to be reversed or shuffled, to make sure the 1269 // tail-predication masks/predicates the right lanes. 1270 // 1271 static bool canTailPredicateLoop(Loop *L, LoopInfo *LI, ScalarEvolution &SE, 1272 const DataLayout &DL, 1273 const LoopAccessInfo *LAI) { 1274 PredicatedScalarEvolution PSE = LAI->getPSE(); 1275 int ICmpCount = 0; 1276 int Stride = 0; 1277 1278 LLVM_DEBUG(dbgs() << "tail-predication: checking allowed instructions\n"); 1279 SmallVector<Instruction *, 16> LoadStores; 1280 for (BasicBlock *BB : L->blocks()) { 1281 for (Instruction &I : BB->instructionsWithoutDebug()) { 1282 if (isa<PHINode>(&I)) 1283 continue; 1284 if (!canTailPredicateInstruction(I, ICmpCount)) { 1285 LLVM_DEBUG(dbgs() << "Instruction not allowed: "; I.dump()); 1286 return false; 1287 } 1288 1289 Type *T = I.getType(); 1290 if (T->isPointerTy()) 1291 T = T->getPointerElementType(); 1292 1293 if (T->getScalarSizeInBits() > 32) { 1294 LLVM_DEBUG(dbgs() << "Unsupported Type: "; T->dump()); 1295 return false; 1296 } 1297 1298 if (isa<StoreInst>(I) || isa<LoadInst>(I)) { 1299 Value *Ptr = isa<LoadInst>(I) ? I.getOperand(0) : I.getOperand(1); 1300 int64_t NextStride = getPtrStride(PSE, Ptr, L); 1301 // TODO: for now only allow consecutive strides of 1. We could support 1302 // other strides as long as it is uniform, but let's keep it simple for 1303 // now. 1304 if (Stride == 0 && NextStride == 1) { 1305 Stride = NextStride; 1306 continue; 1307 } 1308 if (Stride != NextStride) { 1309 LLVM_DEBUG(dbgs() << "Different strides found, can't " 1310 "tail-predicate\n."); 1311 return false; 1312 } 1313 } 1314 } 1315 } 1316 1317 LLVM_DEBUG(dbgs() << "tail-predication: all instructions allowed!\n"); 1318 return true; 1319 } 1320 1321 bool ARMTTIImpl::preferPredicateOverEpilogue(Loop *L, LoopInfo *LI, 1322 ScalarEvolution &SE, 1323 AssumptionCache &AC, 1324 TargetLibraryInfo *TLI, 1325 DominatorTree *DT, 1326 const LoopAccessInfo *LAI) { 1327 if (DisableTailPredication) 1328 return false; 1329 1330 // Creating a predicated vector loop is the first step for generating a 1331 // tail-predicated hardware loop, for which we need the MVE masked 1332 // load/stores instructions: 1333 if (!ST->hasMVEIntegerOps()) 1334 return false; 1335 1336 // For now, restrict this to single block loops. 1337 if (L->getNumBlocks() > 1) { 1338 LLVM_DEBUG(dbgs() << "preferPredicateOverEpilogue: not a single block " 1339 "loop.\n"); 1340 return false; 1341 } 1342 1343 assert(L->empty() && "preferPredicateOverEpilogue: inner-loop expected"); 1344 1345 HardwareLoopInfo HWLoopInfo(L); 1346 if (!HWLoopInfo.canAnalyze(*LI)) { 1347 LLVM_DEBUG(dbgs() << "preferPredicateOverEpilogue: hardware-loop is not " 1348 "analyzable.\n"); 1349 return false; 1350 } 1351 1352 // This checks if we have the low-overhead branch architecture 1353 // extension, and if we will create a hardware-loop: 1354 if (!isHardwareLoopProfitable(L, SE, AC, TLI, HWLoopInfo)) { 1355 LLVM_DEBUG(dbgs() << "preferPredicateOverEpilogue: hardware-loop is not " 1356 "profitable.\n"); 1357 return false; 1358 } 1359 1360 if (!HWLoopInfo.isHardwareLoopCandidate(SE, *LI, *DT)) { 1361 LLVM_DEBUG(dbgs() << "preferPredicateOverEpilogue: hardware-loop is not " 1362 "a candidate.\n"); 1363 return false; 1364 } 1365 1366 return canTailPredicateLoop(L, LI, SE, DL, LAI); 1367 } 1368 1369 1370 void ARMTTIImpl::getUnrollingPreferences(Loop *L, ScalarEvolution &SE, 1371 TTI::UnrollingPreferences &UP) { 1372 // Only currently enable these preferences for M-Class cores. 1373 if (!ST->isMClass()) 1374 return BasicTTIImplBase::getUnrollingPreferences(L, SE, UP); 1375 1376 // Disable loop unrolling for Oz and Os. 1377 UP.OptSizeThreshold = 0; 1378 UP.PartialOptSizeThreshold = 0; 1379 if (L->getHeader()->getParent()->hasOptSize()) 1380 return; 1381 1382 // Only enable on Thumb-2 targets. 1383 if (!ST->isThumb2()) 1384 return; 1385 1386 SmallVector<BasicBlock*, 4> ExitingBlocks; 1387 L->getExitingBlocks(ExitingBlocks); 1388 LLVM_DEBUG(dbgs() << "Loop has:\n" 1389 << "Blocks: " << L->getNumBlocks() << "\n" 1390 << "Exit blocks: " << ExitingBlocks.size() << "\n"); 1391 1392 // Only allow another exit other than the latch. This acts as an early exit 1393 // as it mirrors the profitability calculation of the runtime unroller. 1394 if (ExitingBlocks.size() > 2) 1395 return; 1396 1397 // Limit the CFG of the loop body for targets with a branch predictor. 1398 // Allowing 4 blocks permits if-then-else diamonds in the body. 1399 if (ST->hasBranchPredictor() && L->getNumBlocks() > 4) 1400 return; 1401 1402 // Scan the loop: don't unroll loops with calls as this could prevent 1403 // inlining. 1404 unsigned Cost = 0; 1405 for (auto *BB : L->getBlocks()) { 1406 for (auto &I : *BB) { 1407 // Don't unroll vectorised loop. MVE does not benefit from it as much as 1408 // scalar code. 1409 if (I.getType()->isVectorTy()) 1410 return; 1411 1412 if (isa<CallInst>(I) || isa<InvokeInst>(I)) { 1413 if (const Function *F = cast<CallBase>(I).getCalledFunction()) { 1414 if (!isLoweredToCall(F)) 1415 continue; 1416 } 1417 return; 1418 } 1419 1420 SmallVector<const Value*, 4> Operands(I.value_op_begin(), 1421 I.value_op_end()); 1422 Cost += getUserCost(&I, Operands, TargetTransformInfo::TCK_CodeSize); 1423 } 1424 } 1425 1426 LLVM_DEBUG(dbgs() << "Cost of loop: " << Cost << "\n"); 1427 1428 UP.Partial = true; 1429 UP.Runtime = true; 1430 UP.UpperBound = true; 1431 UP.UnrollRemainder = true; 1432 UP.DefaultUnrollRuntimeCount = 4; 1433 UP.UnrollAndJam = true; 1434 UP.UnrollAndJamInnerLoopThreshold = 60; 1435 1436 // Force unrolling small loops can be very useful because of the branch 1437 // taken cost of the backedge. 1438 if (Cost < 12) 1439 UP.Force = true; 1440 } 1441 1442 bool ARMTTIImpl::useReductionIntrinsic(unsigned Opcode, Type *Ty, 1443 TTI::ReductionFlags Flags) const { 1444 assert(isa<VectorType>(Ty) && "Expected Ty to be a vector type"); 1445 unsigned ScalarBits = Ty->getScalarSizeInBits(); 1446 if (!ST->hasMVEIntegerOps()) 1447 return false; 1448 1449 switch (Opcode) { 1450 case Instruction::FAdd: 1451 case Instruction::FMul: 1452 case Instruction::And: 1453 case Instruction::Or: 1454 case Instruction::Xor: 1455 case Instruction::Mul: 1456 case Instruction::FCmp: 1457 return false; 1458 case Instruction::ICmp: 1459 case Instruction::Add: 1460 return ScalarBits < 64 && 1461 (ScalarBits * cast<VectorType>(Ty)->getNumElements()) % 128 == 0; 1462 default: 1463 llvm_unreachable("Unhandled reduction opcode"); 1464 } 1465 return false; 1466 } 1467