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