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/CallSite.h" 20 #include "llvm/IR/DataLayout.h" 21 #include "llvm/IR/DerivedTypes.h" 22 #include "llvm/IR/Instruction.h" 23 #include "llvm/IR/Instructions.h" 24 #include "llvm/IR/IntrinsicInst.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> DisableLowOverheadLoops( 40 "disable-arm-loloops", cl::Hidden, cl::init(false), 41 cl::desc("Disable the generation of low-overhead loops")); 42 43 bool ARMTTIImpl::areInlineCompatible(const Function *Caller, 44 const Function *Callee) const { 45 const TargetMachine &TM = getTLI()->getTargetMachine(); 46 const FeatureBitset &CallerBits = 47 TM.getSubtargetImpl(*Caller)->getFeatureBits(); 48 const FeatureBitset &CalleeBits = 49 TM.getSubtargetImpl(*Callee)->getFeatureBits(); 50 51 // To inline a callee, all features not in the whitelist must match exactly. 52 bool MatchExact = (CallerBits & ~InlineFeatureWhitelist) == 53 (CalleeBits & ~InlineFeatureWhitelist); 54 // For features in the whitelist, the callee's features must be a subset of 55 // the callers'. 56 bool MatchSubset = ((CallerBits & CalleeBits) & InlineFeatureWhitelist) == 57 (CalleeBits & InlineFeatureWhitelist); 58 return MatchExact && MatchSubset; 59 } 60 61 int ARMTTIImpl::getIntImmCost(const APInt &Imm, Type *Ty) { 62 assert(Ty->isIntegerTy()); 63 64 unsigned Bits = Ty->getPrimitiveSizeInBits(); 65 if (Bits == 0 || Imm.getActiveBits() >= 64) 66 return 4; 67 68 int64_t SImmVal = Imm.getSExtValue(); 69 uint64_t ZImmVal = Imm.getZExtValue(); 70 if (!ST->isThumb()) { 71 if ((SImmVal >= 0 && SImmVal < 65536) || 72 (ARM_AM::getSOImmVal(ZImmVal) != -1) || 73 (ARM_AM::getSOImmVal(~ZImmVal) != -1)) 74 return 1; 75 return ST->hasV6T2Ops() ? 2 : 3; 76 } 77 if (ST->isThumb2()) { 78 if ((SImmVal >= 0 && SImmVal < 65536) || 79 (ARM_AM::getT2SOImmVal(ZImmVal) != -1) || 80 (ARM_AM::getT2SOImmVal(~ZImmVal) != -1)) 81 return 1; 82 return ST->hasV6T2Ops() ? 2 : 3; 83 } 84 // Thumb1, any i8 imm cost 1. 85 if (Bits == 8 || (SImmVal >= 0 && SImmVal < 256)) 86 return 1; 87 if ((~SImmVal < 256) || ARM_AM::isThumbImmShiftedVal(ZImmVal)) 88 return 2; 89 // Load from constantpool. 90 return 3; 91 } 92 93 // Constants smaller than 256 fit in the immediate field of 94 // Thumb1 instructions so we return a zero cost and 1 otherwise. 95 int ARMTTIImpl::getIntImmCodeSizeCost(unsigned Opcode, unsigned Idx, 96 const APInt &Imm, Type *Ty) { 97 if (Imm.isNonNegative() && Imm.getLimitedValue() < 256) 98 return 0; 99 100 return 1; 101 } 102 103 int ARMTTIImpl::getIntImmCost(unsigned Opcode, unsigned Idx, const APInt &Imm, 104 Type *Ty) { 105 // Division by a constant can be turned into multiplication, but only if we 106 // know it's constant. So it's not so much that the immediate is cheap (it's 107 // not), but that the alternative is worse. 108 // FIXME: this is probably unneeded with GlobalISel. 109 if ((Opcode == Instruction::SDiv || Opcode == Instruction::UDiv || 110 Opcode == Instruction::SRem || Opcode == Instruction::URem) && 111 Idx == 1) 112 return 0; 113 114 if (Opcode == Instruction::And) { 115 // UXTB/UXTH 116 if (Imm == 255 || Imm == 65535) 117 return 0; 118 // Conversion to BIC is free, and means we can use ~Imm instead. 119 return std::min(getIntImmCost(Imm, Ty), getIntImmCost(~Imm, Ty)); 120 } 121 122 if (Opcode == Instruction::Add) 123 // Conversion to SUB is free, and means we can use -Imm instead. 124 return std::min(getIntImmCost(Imm, Ty), getIntImmCost(-Imm, Ty)); 125 126 if (Opcode == Instruction::ICmp && Imm.isNegative() && 127 Ty->getIntegerBitWidth() == 32) { 128 int64_t NegImm = -Imm.getSExtValue(); 129 if (ST->isThumb2() && NegImm < 1<<12) 130 // icmp X, #-C -> cmn X, #C 131 return 0; 132 if (ST->isThumb() && NegImm < 1<<8) 133 // icmp X, #-C -> adds X, #C 134 return 0; 135 } 136 137 // xor a, -1 can always be folded to MVN 138 if (Opcode == Instruction::Xor && Imm.isAllOnesValue()) 139 return 0; 140 141 return getIntImmCost(Imm, Ty); 142 } 143 144 int ARMTTIImpl::getCastInstrCost(unsigned Opcode, Type *Dst, Type *Src, 145 const Instruction *I) { 146 int ISD = TLI->InstructionOpcodeToISD(Opcode); 147 assert(ISD && "Invalid opcode"); 148 149 // Single to/from double precision conversions. 150 static const CostTblEntry NEONFltDblTbl[] = { 151 // Vector fptrunc/fpext conversions. 152 { ISD::FP_ROUND, MVT::v2f64, 2 }, 153 { ISD::FP_EXTEND, MVT::v2f32, 2 }, 154 { ISD::FP_EXTEND, MVT::v4f32, 4 } 155 }; 156 157 if (Src->isVectorTy() && ST->hasNEON() && (ISD == ISD::FP_ROUND || 158 ISD == ISD::FP_EXTEND)) { 159 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Src); 160 if (const auto *Entry = CostTableLookup(NEONFltDblTbl, ISD, LT.second)) 161 return LT.first * Entry->Cost; 162 } 163 164 EVT SrcTy = TLI->getValueType(DL, Src); 165 EVT DstTy = TLI->getValueType(DL, Dst); 166 167 if (!SrcTy.isSimple() || !DstTy.isSimple()) 168 return BaseT::getCastInstrCost(Opcode, Dst, Src); 169 170 // The extend of a load is free 171 if (I && isa<LoadInst>(I->getOperand(0))) { 172 static const TypeConversionCostTblEntry LoadConversionTbl[] = { 173 {ISD::SIGN_EXTEND, MVT::i32, MVT::i16, 0}, 174 {ISD::ZERO_EXTEND, MVT::i32, MVT::i16, 0}, 175 {ISD::SIGN_EXTEND, MVT::i32, MVT::i8, 0}, 176 {ISD::ZERO_EXTEND, MVT::i32, MVT::i8, 0}, 177 {ISD::SIGN_EXTEND, MVT::i16, MVT::i8, 0}, 178 {ISD::ZERO_EXTEND, MVT::i16, MVT::i8, 0}, 179 {ISD::SIGN_EXTEND, MVT::i64, MVT::i32, 1}, 180 {ISD::ZERO_EXTEND, MVT::i64, MVT::i32, 1}, 181 {ISD::SIGN_EXTEND, MVT::i64, MVT::i16, 1}, 182 {ISD::ZERO_EXTEND, MVT::i64, MVT::i16, 1}, 183 {ISD::SIGN_EXTEND, MVT::i64, MVT::i8, 1}, 184 {ISD::ZERO_EXTEND, MVT::i64, MVT::i8, 1}, 185 }; 186 if (const auto *Entry = ConvertCostTableLookup( 187 LoadConversionTbl, ISD, DstTy.getSimpleVT(), SrcTy.getSimpleVT())) 188 return Entry->Cost; 189 } 190 191 // Some arithmetic, load and store operations have specific instructions 192 // to cast up/down their types automatically at no extra cost. 193 // TODO: Get these tables to know at least what the related operations are. 194 static const TypeConversionCostTblEntry NEONVectorConversionTbl[] = { 195 { ISD::SIGN_EXTEND, MVT::v4i32, MVT::v4i16, 0 }, 196 { ISD::ZERO_EXTEND, MVT::v4i32, MVT::v4i16, 0 }, 197 { ISD::SIGN_EXTEND, MVT::v2i64, MVT::v2i32, 1 }, 198 { ISD::ZERO_EXTEND, MVT::v2i64, MVT::v2i32, 1 }, 199 { ISD::TRUNCATE, MVT::v4i32, MVT::v4i64, 0 }, 200 { ISD::TRUNCATE, MVT::v4i16, MVT::v4i32, 1 }, 201 202 // The number of vmovl instructions for the extension. 203 { ISD::SIGN_EXTEND, MVT::v4i64, MVT::v4i16, 3 }, 204 { ISD::ZERO_EXTEND, MVT::v4i64, MVT::v4i16, 3 }, 205 { ISD::SIGN_EXTEND, MVT::v8i32, MVT::v8i8, 3 }, 206 { ISD::ZERO_EXTEND, MVT::v8i32, MVT::v8i8, 3 }, 207 { ISD::SIGN_EXTEND, MVT::v8i64, MVT::v8i8, 7 }, 208 { ISD::ZERO_EXTEND, MVT::v8i64, MVT::v8i8, 7 }, 209 { ISD::SIGN_EXTEND, MVT::v8i64, MVT::v8i16, 6 }, 210 { ISD::ZERO_EXTEND, MVT::v8i64, MVT::v8i16, 6 }, 211 { ISD::SIGN_EXTEND, MVT::v16i32, MVT::v16i8, 6 }, 212 { ISD::ZERO_EXTEND, MVT::v16i32, MVT::v16i8, 6 }, 213 214 // Operations that we legalize using splitting. 215 { ISD::TRUNCATE, MVT::v16i8, MVT::v16i32, 6 }, 216 { ISD::TRUNCATE, MVT::v8i8, MVT::v8i32, 3 }, 217 218 // Vector float <-> i32 conversions. 219 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i32, 1 }, 220 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i32, 1 }, 221 222 { ISD::SINT_TO_FP, MVT::v2f32, MVT::v2i8, 3 }, 223 { ISD::UINT_TO_FP, MVT::v2f32, MVT::v2i8, 3 }, 224 { ISD::SINT_TO_FP, MVT::v2f32, MVT::v2i16, 2 }, 225 { ISD::UINT_TO_FP, MVT::v2f32, MVT::v2i16, 2 }, 226 { ISD::SINT_TO_FP, MVT::v2f32, MVT::v2i32, 1 }, 227 { ISD::UINT_TO_FP, MVT::v2f32, MVT::v2i32, 1 }, 228 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i1, 3 }, 229 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i1, 3 }, 230 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i8, 3 }, 231 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i8, 3 }, 232 { ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i16, 2 }, 233 { ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i16, 2 }, 234 { ISD::SINT_TO_FP, MVT::v8f32, MVT::v8i16, 4 }, 235 { ISD::UINT_TO_FP, MVT::v8f32, MVT::v8i16, 4 }, 236 { ISD::SINT_TO_FP, MVT::v8f32, MVT::v8i32, 2 }, 237 { ISD::UINT_TO_FP, MVT::v8f32, MVT::v8i32, 2 }, 238 { ISD::SINT_TO_FP, MVT::v16f32, MVT::v16i16, 8 }, 239 { ISD::UINT_TO_FP, MVT::v16f32, MVT::v16i16, 8 }, 240 { ISD::SINT_TO_FP, MVT::v16f32, MVT::v16i32, 4 }, 241 { ISD::UINT_TO_FP, MVT::v16f32, MVT::v16i32, 4 }, 242 243 { ISD::FP_TO_SINT, MVT::v4i32, MVT::v4f32, 1 }, 244 { ISD::FP_TO_UINT, MVT::v4i32, MVT::v4f32, 1 }, 245 { ISD::FP_TO_SINT, MVT::v4i8, MVT::v4f32, 3 }, 246 { ISD::FP_TO_UINT, MVT::v4i8, MVT::v4f32, 3 }, 247 { ISD::FP_TO_SINT, MVT::v4i16, MVT::v4f32, 2 }, 248 { ISD::FP_TO_UINT, MVT::v4i16, MVT::v4f32, 2 }, 249 250 // Vector double <-> i32 conversions. 251 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 252 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 253 254 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i8, 4 }, 255 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i8, 4 }, 256 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i16, 3 }, 257 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i16, 3 }, 258 { ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 259 { ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i32, 2 }, 260 261 { ISD::FP_TO_SINT, MVT::v2i32, MVT::v2f64, 2 }, 262 { ISD::FP_TO_UINT, MVT::v2i32, MVT::v2f64, 2 }, 263 { ISD::FP_TO_SINT, MVT::v8i16, MVT::v8f32, 4 }, 264 { ISD::FP_TO_UINT, MVT::v8i16, MVT::v8f32, 4 }, 265 { ISD::FP_TO_SINT, MVT::v16i16, MVT::v16f32, 8 }, 266 { ISD::FP_TO_UINT, MVT::v16i16, MVT::v16f32, 8 } 267 }; 268 269 if (SrcTy.isVector() && ST->hasNEON()) { 270 if (const auto *Entry = ConvertCostTableLookup(NEONVectorConversionTbl, ISD, 271 DstTy.getSimpleVT(), 272 SrcTy.getSimpleVT())) 273 return Entry->Cost; 274 } 275 276 // Scalar float to integer conversions. 277 static const TypeConversionCostTblEntry NEONFloatConversionTbl[] = { 278 { ISD::FP_TO_SINT, MVT::i1, MVT::f32, 2 }, 279 { ISD::FP_TO_UINT, MVT::i1, MVT::f32, 2 }, 280 { ISD::FP_TO_SINT, MVT::i1, MVT::f64, 2 }, 281 { ISD::FP_TO_UINT, MVT::i1, MVT::f64, 2 }, 282 { ISD::FP_TO_SINT, MVT::i8, MVT::f32, 2 }, 283 { ISD::FP_TO_UINT, MVT::i8, MVT::f32, 2 }, 284 { ISD::FP_TO_SINT, MVT::i8, MVT::f64, 2 }, 285 { ISD::FP_TO_UINT, MVT::i8, MVT::f64, 2 }, 286 { ISD::FP_TO_SINT, MVT::i16, MVT::f32, 2 }, 287 { ISD::FP_TO_UINT, MVT::i16, MVT::f32, 2 }, 288 { ISD::FP_TO_SINT, MVT::i16, MVT::f64, 2 }, 289 { ISD::FP_TO_UINT, MVT::i16, MVT::f64, 2 }, 290 { ISD::FP_TO_SINT, MVT::i32, MVT::f32, 2 }, 291 { ISD::FP_TO_UINT, MVT::i32, MVT::f32, 2 }, 292 { ISD::FP_TO_SINT, MVT::i32, MVT::f64, 2 }, 293 { ISD::FP_TO_UINT, MVT::i32, MVT::f64, 2 }, 294 { ISD::FP_TO_SINT, MVT::i64, MVT::f32, 10 }, 295 { ISD::FP_TO_UINT, MVT::i64, MVT::f32, 10 }, 296 { ISD::FP_TO_SINT, MVT::i64, MVT::f64, 10 }, 297 { ISD::FP_TO_UINT, MVT::i64, MVT::f64, 10 } 298 }; 299 if (SrcTy.isFloatingPoint() && ST->hasNEON()) { 300 if (const auto *Entry = ConvertCostTableLookup(NEONFloatConversionTbl, ISD, 301 DstTy.getSimpleVT(), 302 SrcTy.getSimpleVT())) 303 return Entry->Cost; 304 } 305 306 // Scalar integer to float conversions. 307 static const TypeConversionCostTblEntry NEONIntegerConversionTbl[] = { 308 { ISD::SINT_TO_FP, MVT::f32, MVT::i1, 2 }, 309 { ISD::UINT_TO_FP, MVT::f32, MVT::i1, 2 }, 310 { ISD::SINT_TO_FP, MVT::f64, MVT::i1, 2 }, 311 { ISD::UINT_TO_FP, MVT::f64, MVT::i1, 2 }, 312 { ISD::SINT_TO_FP, MVT::f32, MVT::i8, 2 }, 313 { ISD::UINT_TO_FP, MVT::f32, MVT::i8, 2 }, 314 { ISD::SINT_TO_FP, MVT::f64, MVT::i8, 2 }, 315 { ISD::UINT_TO_FP, MVT::f64, MVT::i8, 2 }, 316 { ISD::SINT_TO_FP, MVT::f32, MVT::i16, 2 }, 317 { ISD::UINT_TO_FP, MVT::f32, MVT::i16, 2 }, 318 { ISD::SINT_TO_FP, MVT::f64, MVT::i16, 2 }, 319 { ISD::UINT_TO_FP, MVT::f64, MVT::i16, 2 }, 320 { ISD::SINT_TO_FP, MVT::f32, MVT::i32, 2 }, 321 { ISD::UINT_TO_FP, MVT::f32, MVT::i32, 2 }, 322 { ISD::SINT_TO_FP, MVT::f64, MVT::i32, 2 }, 323 { ISD::UINT_TO_FP, MVT::f64, MVT::i32, 2 }, 324 { ISD::SINT_TO_FP, MVT::f32, MVT::i64, 10 }, 325 { ISD::UINT_TO_FP, MVT::f32, MVT::i64, 10 }, 326 { ISD::SINT_TO_FP, MVT::f64, MVT::i64, 10 }, 327 { ISD::UINT_TO_FP, MVT::f64, MVT::i64, 10 } 328 }; 329 330 if (SrcTy.isInteger() && ST->hasNEON()) { 331 if (const auto *Entry = ConvertCostTableLookup(NEONIntegerConversionTbl, 332 ISD, DstTy.getSimpleVT(), 333 SrcTy.getSimpleVT())) 334 return Entry->Cost; 335 } 336 337 // Scalar integer conversion costs. 338 static const TypeConversionCostTblEntry ARMIntegerConversionTbl[] = { 339 // i16 -> i64 requires two dependent operations. 340 { ISD::SIGN_EXTEND, MVT::i64, MVT::i16, 2 }, 341 342 // Truncates on i64 are assumed to be free. 343 { ISD::TRUNCATE, MVT::i32, MVT::i64, 0 }, 344 { ISD::TRUNCATE, MVT::i16, MVT::i64, 0 }, 345 { ISD::TRUNCATE, MVT::i8, MVT::i64, 0 }, 346 { ISD::TRUNCATE, MVT::i1, MVT::i64, 0 } 347 }; 348 349 if (SrcTy.isInteger()) { 350 if (const auto *Entry = ConvertCostTableLookup(ARMIntegerConversionTbl, ISD, 351 DstTy.getSimpleVT(), 352 SrcTy.getSimpleVT())) 353 return Entry->Cost; 354 } 355 356 int BaseCost = ST->hasMVEIntegerOps() && Src->isVectorTy() 357 ? ST->getMVEVectorCostFactor() 358 : 1; 359 return BaseCost * BaseT::getCastInstrCost(Opcode, Dst, Src); 360 } 361 362 int ARMTTIImpl::getVectorInstrCost(unsigned Opcode, Type *ValTy, 363 unsigned Index) { 364 // Penalize inserting into an D-subregister. We end up with a three times 365 // lower estimated throughput on swift. 366 if (ST->hasSlowLoadDSubregister() && Opcode == Instruction::InsertElement && 367 ValTy->isVectorTy() && ValTy->getScalarSizeInBits() <= 32) 368 return 3; 369 370 if (ST->hasNEON() && (Opcode == Instruction::InsertElement || 371 Opcode == Instruction::ExtractElement)) { 372 // Cross-class copies are expensive on many microarchitectures, 373 // so assume they are expensive by default. 374 if (ValTy->getVectorElementType()->isIntegerTy()) 375 return 3; 376 377 // Even if it's not a cross class copy, this likely leads to mixing 378 // of NEON and VFP code and should be therefore penalized. 379 if (ValTy->isVectorTy() && 380 ValTy->getScalarSizeInBits() <= 32) 381 return std::max(BaseT::getVectorInstrCost(Opcode, ValTy, Index), 2U); 382 } 383 384 if (ST->hasMVEIntegerOps() && (Opcode == Instruction::InsertElement || 385 Opcode == Instruction::ExtractElement)) { 386 // We say MVE moves costs at least the MVEVectorCostFactor, even though 387 // they are scalar instructions. This helps prevent mixing scalar and 388 // vector, to prevent vectorising where we end up just scalarising the 389 // result anyway. 390 return std::max(BaseT::getVectorInstrCost(Opcode, ValTy, Index), 391 ST->getMVEVectorCostFactor()) * 392 ValTy->getVectorNumElements() / 2; 393 } 394 395 return BaseT::getVectorInstrCost(Opcode, ValTy, Index); 396 } 397 398 int ARMTTIImpl::getCmpSelInstrCost(unsigned Opcode, Type *ValTy, Type *CondTy, 399 const Instruction *I) { 400 int ISD = TLI->InstructionOpcodeToISD(Opcode); 401 // On NEON a vector select gets lowered to vbsl. 402 if (ST->hasNEON() && ValTy->isVectorTy() && ISD == ISD::SELECT) { 403 // Lowering of some vector selects is currently far from perfect. 404 static const TypeConversionCostTblEntry NEONVectorSelectTbl[] = { 405 { ISD::SELECT, MVT::v4i1, MVT::v4i64, 4*4 + 1*2 + 1 }, 406 { ISD::SELECT, MVT::v8i1, MVT::v8i64, 50 }, 407 { ISD::SELECT, MVT::v16i1, MVT::v16i64, 100 } 408 }; 409 410 EVT SelCondTy = TLI->getValueType(DL, CondTy); 411 EVT SelValTy = TLI->getValueType(DL, ValTy); 412 if (SelCondTy.isSimple() && SelValTy.isSimple()) { 413 if (const auto *Entry = ConvertCostTableLookup(NEONVectorSelectTbl, ISD, 414 SelCondTy.getSimpleVT(), 415 SelValTy.getSimpleVT())) 416 return Entry->Cost; 417 } 418 419 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, ValTy); 420 return LT.first; 421 } 422 423 int BaseCost = ST->hasMVEIntegerOps() && ValTy->isVectorTy() 424 ? ST->getMVEVectorCostFactor() 425 : 1; 426 return BaseCost * BaseT::getCmpSelInstrCost(Opcode, ValTy, CondTy, I); 427 } 428 429 int ARMTTIImpl::getAddressComputationCost(Type *Ty, ScalarEvolution *SE, 430 const SCEV *Ptr) { 431 // Address computations in vectorized code with non-consecutive addresses will 432 // likely result in more instructions compared to scalar code where the 433 // computation can more often be merged into the index mode. The resulting 434 // extra micro-ops can significantly decrease throughput. 435 unsigned NumVectorInstToHideOverhead = 10; 436 int MaxMergeDistance = 64; 437 438 if (ST->hasNEON()) { 439 if (Ty->isVectorTy() && SE && 440 !BaseT::isConstantStridedAccessLessThan(SE, Ptr, MaxMergeDistance + 1)) 441 return NumVectorInstToHideOverhead; 442 443 // In many cases the address computation is not merged into the instruction 444 // addressing mode. 445 return 1; 446 } 447 return BaseT::getAddressComputationCost(Ty, SE, Ptr); 448 } 449 450 int ARMTTIImpl::getMemcpyCost(const Instruction *I) { 451 const MemCpyInst *MI = dyn_cast<MemCpyInst>(I); 452 assert(MI && "MemcpyInst expected"); 453 ConstantInt *C = dyn_cast<ConstantInt>(MI->getLength()); 454 455 // To model the cost of a library call, we assume 1 for the call, and 456 // 3 for the argument setup. 457 const unsigned LibCallCost = 4; 458 459 // If 'size' is not a constant, a library call will be generated. 460 if (!C) 461 return LibCallCost; 462 463 const unsigned Size = C->getValue().getZExtValue(); 464 const unsigned DstAlign = MI->getDestAlignment(); 465 const unsigned SrcAlign = MI->getSourceAlignment(); 466 const Function *F = I->getParent()->getParent(); 467 const unsigned Limit = TLI->getMaxStoresPerMemmove(F->hasMinSize()); 468 std::vector<EVT> MemOps; 469 470 // MemOps will be poplulated with a list of data types that needs to be 471 // loaded and stored. That's why we multiply the number of elements by 2 to 472 // get the cost for this memcpy. 473 if (getTLI()->findOptimalMemOpLowering( 474 MemOps, Limit, Size, DstAlign, SrcAlign, false /*IsMemset*/, 475 false /*ZeroMemset*/, false /*MemcpyStrSrc*/, false /*AllowOverlap*/, 476 MI->getDestAddressSpace(), MI->getSourceAddressSpace(), 477 F->getAttributes())) 478 return MemOps.size() * 2; 479 480 // If we can't find an optimal memop lowering, return the default cost 481 return LibCallCost; 482 } 483 484 int ARMTTIImpl::getShuffleCost(TTI::ShuffleKind Kind, Type *Tp, int Index, 485 Type *SubTp) { 486 if (ST->hasNEON()) { 487 if (Kind == TTI::SK_Broadcast) { 488 static const CostTblEntry NEONDupTbl[] = { 489 // VDUP handles these cases. 490 {ISD::VECTOR_SHUFFLE, MVT::v2i32, 1}, 491 {ISD::VECTOR_SHUFFLE, MVT::v2f32, 1}, 492 {ISD::VECTOR_SHUFFLE, MVT::v2i64, 1}, 493 {ISD::VECTOR_SHUFFLE, MVT::v2f64, 1}, 494 {ISD::VECTOR_SHUFFLE, MVT::v4i16, 1}, 495 {ISD::VECTOR_SHUFFLE, MVT::v8i8, 1}, 496 497 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 1}, 498 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 1}, 499 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 1}, 500 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 1}}; 501 502 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 503 504 if (const auto *Entry = 505 CostTableLookup(NEONDupTbl, ISD::VECTOR_SHUFFLE, LT.second)) 506 return LT.first * Entry->Cost; 507 } 508 if (Kind == TTI::SK_Reverse) { 509 static const CostTblEntry NEONShuffleTbl[] = { 510 // Reverse shuffle cost one instruction if we are shuffling within a 511 // double word (vrev) or two if we shuffle a quad word (vrev, vext). 512 {ISD::VECTOR_SHUFFLE, MVT::v2i32, 1}, 513 {ISD::VECTOR_SHUFFLE, MVT::v2f32, 1}, 514 {ISD::VECTOR_SHUFFLE, MVT::v2i64, 1}, 515 {ISD::VECTOR_SHUFFLE, MVT::v2f64, 1}, 516 {ISD::VECTOR_SHUFFLE, MVT::v4i16, 1}, 517 {ISD::VECTOR_SHUFFLE, MVT::v8i8, 1}, 518 519 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 2}, 520 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 2}, 521 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 2}, 522 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 2}}; 523 524 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 525 526 if (const auto *Entry = 527 CostTableLookup(NEONShuffleTbl, ISD::VECTOR_SHUFFLE, LT.second)) 528 return LT.first * Entry->Cost; 529 } 530 if (Kind == TTI::SK_Select) { 531 static const CostTblEntry NEONSelShuffleTbl[] = { 532 // Select shuffle cost table for ARM. Cost is the number of 533 // instructions 534 // required to create the shuffled vector. 535 536 {ISD::VECTOR_SHUFFLE, MVT::v2f32, 1}, 537 {ISD::VECTOR_SHUFFLE, MVT::v2i64, 1}, 538 {ISD::VECTOR_SHUFFLE, MVT::v2f64, 1}, 539 {ISD::VECTOR_SHUFFLE, MVT::v2i32, 1}, 540 541 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 2}, 542 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 2}, 543 {ISD::VECTOR_SHUFFLE, MVT::v4i16, 2}, 544 545 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 16}, 546 547 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 32}}; 548 549 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 550 if (const auto *Entry = CostTableLookup(NEONSelShuffleTbl, 551 ISD::VECTOR_SHUFFLE, LT.second)) 552 return LT.first * Entry->Cost; 553 } 554 } 555 if (ST->hasMVEIntegerOps()) { 556 if (Kind == TTI::SK_Broadcast) { 557 static const CostTblEntry MVEDupTbl[] = { 558 // VDUP handles these cases. 559 {ISD::VECTOR_SHUFFLE, MVT::v4i32, 1}, 560 {ISD::VECTOR_SHUFFLE, MVT::v8i16, 1}, 561 {ISD::VECTOR_SHUFFLE, MVT::v16i8, 1}, 562 {ISD::VECTOR_SHUFFLE, MVT::v4f32, 1}, 563 {ISD::VECTOR_SHUFFLE, MVT::v8f16, 1}}; 564 565 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Tp); 566 567 if (const auto *Entry = CostTableLookup(MVEDupTbl, ISD::VECTOR_SHUFFLE, 568 LT.second)) 569 return LT.first * Entry->Cost * ST->getMVEVectorCostFactor(); 570 } 571 } 572 int BaseCost = ST->hasMVEIntegerOps() && Tp->isVectorTy() 573 ? ST->getMVEVectorCostFactor() 574 : 1; 575 return BaseCost * BaseT::getShuffleCost(Kind, Tp, Index, SubTp); 576 } 577 578 int ARMTTIImpl::getArithmeticInstrCost( 579 unsigned Opcode, Type *Ty, TTI::OperandValueKind Op1Info, 580 TTI::OperandValueKind Op2Info, TTI::OperandValueProperties Opd1PropInfo, 581 TTI::OperandValueProperties Opd2PropInfo, 582 ArrayRef<const Value *> Args) { 583 int ISDOpcode = TLI->InstructionOpcodeToISD(Opcode); 584 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Ty); 585 586 const unsigned FunctionCallDivCost = 20; 587 const unsigned ReciprocalDivCost = 10; 588 static const CostTblEntry CostTbl[] = { 589 // Division. 590 // These costs are somewhat random. Choose a cost of 20 to indicate that 591 // vectorizing devision (added function call) is going to be very expensive. 592 // Double registers types. 593 { ISD::SDIV, MVT::v1i64, 1 * FunctionCallDivCost}, 594 { ISD::UDIV, MVT::v1i64, 1 * FunctionCallDivCost}, 595 { ISD::SREM, MVT::v1i64, 1 * FunctionCallDivCost}, 596 { ISD::UREM, MVT::v1i64, 1 * FunctionCallDivCost}, 597 { ISD::SDIV, MVT::v2i32, 2 * FunctionCallDivCost}, 598 { ISD::UDIV, MVT::v2i32, 2 * FunctionCallDivCost}, 599 { ISD::SREM, MVT::v2i32, 2 * FunctionCallDivCost}, 600 { ISD::UREM, MVT::v2i32, 2 * FunctionCallDivCost}, 601 { ISD::SDIV, MVT::v4i16, ReciprocalDivCost}, 602 { ISD::UDIV, MVT::v4i16, ReciprocalDivCost}, 603 { ISD::SREM, MVT::v4i16, 4 * FunctionCallDivCost}, 604 { ISD::UREM, MVT::v4i16, 4 * FunctionCallDivCost}, 605 { ISD::SDIV, MVT::v8i8, ReciprocalDivCost}, 606 { ISD::UDIV, MVT::v8i8, ReciprocalDivCost}, 607 { ISD::SREM, MVT::v8i8, 8 * FunctionCallDivCost}, 608 { ISD::UREM, MVT::v8i8, 8 * FunctionCallDivCost}, 609 // Quad register types. 610 { ISD::SDIV, MVT::v2i64, 2 * FunctionCallDivCost}, 611 { ISD::UDIV, MVT::v2i64, 2 * FunctionCallDivCost}, 612 { ISD::SREM, MVT::v2i64, 2 * FunctionCallDivCost}, 613 { ISD::UREM, MVT::v2i64, 2 * FunctionCallDivCost}, 614 { ISD::SDIV, MVT::v4i32, 4 * FunctionCallDivCost}, 615 { ISD::UDIV, MVT::v4i32, 4 * FunctionCallDivCost}, 616 { ISD::SREM, MVT::v4i32, 4 * FunctionCallDivCost}, 617 { ISD::UREM, MVT::v4i32, 4 * FunctionCallDivCost}, 618 { ISD::SDIV, MVT::v8i16, 8 * FunctionCallDivCost}, 619 { ISD::UDIV, MVT::v8i16, 8 * FunctionCallDivCost}, 620 { ISD::SREM, MVT::v8i16, 8 * FunctionCallDivCost}, 621 { ISD::UREM, MVT::v8i16, 8 * FunctionCallDivCost}, 622 { ISD::SDIV, MVT::v16i8, 16 * FunctionCallDivCost}, 623 { ISD::UDIV, MVT::v16i8, 16 * FunctionCallDivCost}, 624 { ISD::SREM, MVT::v16i8, 16 * FunctionCallDivCost}, 625 { ISD::UREM, MVT::v16i8, 16 * FunctionCallDivCost}, 626 // Multiplication. 627 }; 628 629 if (ST->hasNEON()) { 630 if (const auto *Entry = CostTableLookup(CostTbl, ISDOpcode, LT.second)) 631 return LT.first * Entry->Cost; 632 633 int Cost = BaseT::getArithmeticInstrCost(Opcode, Ty, Op1Info, Op2Info, 634 Opd1PropInfo, Opd2PropInfo); 635 636 // This is somewhat of a hack. The problem that we are facing is that SROA 637 // creates a sequence of shift, and, or instructions to construct values. 638 // These sequences are recognized by the ISel and have zero-cost. Not so for 639 // the vectorized code. Because we have support for v2i64 but not i64 those 640 // sequences look particularly beneficial to vectorize. 641 // To work around this we increase the cost of v2i64 operations to make them 642 // seem less beneficial. 643 if (LT.second == MVT::v2i64 && 644 Op2Info == TargetTransformInfo::OK_UniformConstantValue) 645 Cost += 4; 646 647 return Cost; 648 } 649 650 int BaseCost = ST->hasMVEIntegerOps() && Ty->isVectorTy() 651 ? ST->getMVEVectorCostFactor() 652 : 1; 653 654 // The rest of this mostly follows what is done in BaseT::getArithmeticInstrCost, 655 // without treating floats as more expensive that scalars or increasing the 656 // costs for custom operations. The results is also multiplied by the 657 // MVEVectorCostFactor where appropriate. 658 if (TLI->isOperationLegalOrCustomOrPromote(ISDOpcode, LT.second)) 659 return LT.first * BaseCost; 660 661 // Else this is expand, assume that we need to scalarize this op. 662 if (Ty->isVectorTy()) { 663 unsigned Num = Ty->getVectorNumElements(); 664 unsigned Cost = getArithmeticInstrCost(Opcode, Ty->getScalarType()); 665 // Return the cost of multiple scalar invocation plus the cost of 666 // inserting and extracting the values. 667 return BaseT::getScalarizationOverhead(Ty, Args) + Num * Cost; 668 } 669 670 return BaseCost; 671 } 672 673 int ARMTTIImpl::getMemoryOpCost(unsigned Opcode, Type *Src, unsigned Alignment, 674 unsigned AddressSpace, const Instruction *I) { 675 std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Src); 676 677 if (ST->hasNEON() && Src->isVectorTy() && Alignment != 16 && 678 Src->getVectorElementType()->isDoubleTy()) { 679 // Unaligned loads/stores are extremely inefficient. 680 // We need 4 uops for vst.1/vld.1 vs 1uop for vldr/vstr. 681 return LT.first * 4; 682 } 683 int BaseCost = ST->hasMVEIntegerOps() && Src->isVectorTy() 684 ? ST->getMVEVectorCostFactor() 685 : 1; 686 return BaseCost * LT.first; 687 } 688 689 int ARMTTIImpl::getInterleavedMemoryOpCost(unsigned Opcode, Type *VecTy, 690 unsigned Factor, 691 ArrayRef<unsigned> Indices, 692 unsigned Alignment, 693 unsigned AddressSpace, 694 bool UseMaskForCond, 695 bool UseMaskForGaps) { 696 assert(Factor >= 2 && "Invalid interleave factor"); 697 assert(isa<VectorType>(VecTy) && "Expect a vector type"); 698 699 // vldN/vstN doesn't support vector types of i64/f64 element. 700 bool EltIs64Bits = DL.getTypeSizeInBits(VecTy->getScalarType()) == 64; 701 702 if (Factor <= TLI->getMaxSupportedInterleaveFactor() && !EltIs64Bits && 703 !UseMaskForCond && !UseMaskForGaps) { 704 unsigned NumElts = VecTy->getVectorNumElements(); 705 auto *SubVecTy = VectorType::get(VecTy->getScalarType(), NumElts / Factor); 706 707 // vldN/vstN only support legal vector types of size 64 or 128 in bits. 708 // Accesses having vector types that are a multiple of 128 bits can be 709 // matched to more than one vldN/vstN instruction. 710 if (NumElts % Factor == 0 && 711 TLI->isLegalInterleavedAccessType(SubVecTy, DL)) 712 return Factor * TLI->getNumInterleavedAccesses(SubVecTy, DL); 713 } 714 715 return BaseT::getInterleavedMemoryOpCost(Opcode, VecTy, Factor, Indices, 716 Alignment, AddressSpace, 717 UseMaskForCond, UseMaskForGaps); 718 } 719 720 bool ARMTTIImpl::isLoweredToCall(const Function *F) { 721 if (!F->isIntrinsic()) 722 BaseT::isLoweredToCall(F); 723 724 // Assume all Arm-specific intrinsics map to an instruction. 725 if (F->getName().startswith("llvm.arm")) 726 return false; 727 728 switch (F->getIntrinsicID()) { 729 default: break; 730 case Intrinsic::powi: 731 case Intrinsic::sin: 732 case Intrinsic::cos: 733 case Intrinsic::pow: 734 case Intrinsic::log: 735 case Intrinsic::log10: 736 case Intrinsic::log2: 737 case Intrinsic::exp: 738 case Intrinsic::exp2: 739 return true; 740 case Intrinsic::sqrt: 741 case Intrinsic::fabs: 742 case Intrinsic::copysign: 743 case Intrinsic::floor: 744 case Intrinsic::ceil: 745 case Intrinsic::trunc: 746 case Intrinsic::rint: 747 case Intrinsic::nearbyint: 748 case Intrinsic::round: 749 case Intrinsic::canonicalize: 750 case Intrinsic::lround: 751 case Intrinsic::llround: 752 case Intrinsic::lrint: 753 case Intrinsic::llrint: 754 if (F->getReturnType()->isDoubleTy() && !ST->hasFP64()) 755 return true; 756 if (F->getReturnType()->isHalfTy() && !ST->hasFullFP16()) 757 return true; 758 // Some operations can be handled by vector instructions and assume 759 // unsupported vectors will be expanded into supported scalar ones. 760 // TODO Handle scalar operations properly. 761 return !ST->hasFPARMv8Base() && !ST->hasVFP2Base(); 762 case Intrinsic::masked_store: 763 case Intrinsic::masked_load: 764 case Intrinsic::masked_gather: 765 case Intrinsic::masked_scatter: 766 return !ST->hasMVEIntegerOps(); 767 case Intrinsic::sadd_with_overflow: 768 case Intrinsic::uadd_with_overflow: 769 case Intrinsic::ssub_with_overflow: 770 case Intrinsic::usub_with_overflow: 771 case Intrinsic::sadd_sat: 772 case Intrinsic::uadd_sat: 773 case Intrinsic::ssub_sat: 774 case Intrinsic::usub_sat: 775 return false; 776 } 777 778 return BaseT::isLoweredToCall(F); 779 } 780 781 bool ARMTTIImpl::isHardwareLoopProfitable(Loop *L, ScalarEvolution &SE, 782 AssumptionCache &AC, 783 TargetLibraryInfo *LibInfo, 784 HardwareLoopInfo &HWLoopInfo) { 785 // Low-overhead branches are only supported in the 'low-overhead branch' 786 // extension of v8.1-m. 787 if (!ST->hasLOB() || DisableLowOverheadLoops) 788 return false; 789 790 if (!SE.hasLoopInvariantBackedgeTakenCount(L)) 791 return false; 792 793 const SCEV *BackedgeTakenCount = SE.getBackedgeTakenCount(L); 794 if (isa<SCEVCouldNotCompute>(BackedgeTakenCount)) 795 return false; 796 797 const SCEV *TripCountSCEV = 798 SE.getAddExpr(BackedgeTakenCount, 799 SE.getOne(BackedgeTakenCount->getType())); 800 801 // We need to store the trip count in LR, a 32-bit register. 802 if (SE.getUnsignedRangeMax(TripCountSCEV).getBitWidth() > 32) 803 return false; 804 805 // Making a call will trash LR and clear LO_BRANCH_INFO, so there's little 806 // point in generating a hardware loop if that's going to happen. 807 auto MaybeCall = [this](Instruction &I) { 808 const ARMTargetLowering *TLI = getTLI(); 809 unsigned ISD = TLI->InstructionOpcodeToISD(I.getOpcode()); 810 EVT VT = TLI->getValueType(DL, I.getType(), true); 811 if (TLI->getOperationAction(ISD, VT) == TargetLowering::LibCall) 812 return true; 813 814 // Check if an intrinsic will be lowered to a call and assume that any 815 // other CallInst will generate a bl. 816 if (auto *Call = dyn_cast<CallInst>(&I)) { 817 if (isa<IntrinsicInst>(Call)) { 818 if (const Function *F = Call->getCalledFunction()) 819 return isLoweredToCall(F); 820 } 821 return true; 822 } 823 824 // FPv5 provides conversions between integer, double-precision, 825 // single-precision, and half-precision formats. 826 switch (I.getOpcode()) { 827 default: 828 break; 829 case Instruction::FPToSI: 830 case Instruction::FPToUI: 831 case Instruction::SIToFP: 832 case Instruction::UIToFP: 833 case Instruction::FPTrunc: 834 case Instruction::FPExt: 835 return !ST->hasFPARMv8Base(); 836 } 837 838 // FIXME: Unfortunately the approach of checking the Operation Action does 839 // not catch all cases of Legalization that use library calls. Our 840 // Legalization step categorizes some transformations into library calls as 841 // Custom, Expand or even Legal when doing type legalization. So for now 842 // we have to special case for instance the SDIV of 64bit integers and the 843 // use of floating point emulation. 844 if (VT.isInteger() && VT.getSizeInBits() >= 64) { 845 switch (ISD) { 846 default: 847 break; 848 case ISD::SDIV: 849 case ISD::UDIV: 850 case ISD::SREM: 851 case ISD::UREM: 852 case ISD::SDIVREM: 853 case ISD::UDIVREM: 854 return true; 855 } 856 } 857 858 // Assume all other non-float operations are supported. 859 if (!VT.isFloatingPoint()) 860 return false; 861 862 // We'll need a library call to handle most floats when using soft. 863 if (TLI->useSoftFloat()) { 864 switch (I.getOpcode()) { 865 default: 866 return true; 867 case Instruction::Alloca: 868 case Instruction::Load: 869 case Instruction::Store: 870 case Instruction::Select: 871 case Instruction::PHI: 872 return false; 873 } 874 } 875 876 // We'll need a libcall to perform double precision operations on a single 877 // precision only FPU. 878 if (I.getType()->isDoubleTy() && !ST->hasFP64()) 879 return true; 880 881 // Likewise for half precision arithmetic. 882 if (I.getType()->isHalfTy() && !ST->hasFullFP16()) 883 return true; 884 885 return false; 886 }; 887 888 auto IsHardwareLoopIntrinsic = [](Instruction &I) { 889 if (auto *Call = dyn_cast<IntrinsicInst>(&I)) { 890 switch (Call->getIntrinsicID()) { 891 default: 892 break; 893 case Intrinsic::set_loop_iterations: 894 case Intrinsic::test_set_loop_iterations: 895 case Intrinsic::loop_decrement: 896 case Intrinsic::loop_decrement_reg: 897 return true; 898 } 899 } 900 return false; 901 }; 902 903 // Scan the instructions to see if there's any that we know will turn into a 904 // call or if this loop is already a low-overhead loop. 905 auto ScanLoop = [&](Loop *L) { 906 for (auto *BB : L->getBlocks()) { 907 for (auto &I : *BB) { 908 if (MaybeCall(I) || IsHardwareLoopIntrinsic(I)) 909 return false; 910 } 911 } 912 return true; 913 }; 914 915 // Visit inner loops. 916 for (auto Inner : *L) 917 if (!ScanLoop(Inner)) 918 return false; 919 920 if (!ScanLoop(L)) 921 return false; 922 923 // TODO: Check whether the trip count calculation is expensive. If L is the 924 // inner loop but we know it has a low trip count, calculating that trip 925 // count (in the parent loop) may be detrimental. 926 927 LLVMContext &C = L->getHeader()->getContext(); 928 HWLoopInfo.CounterInReg = true; 929 HWLoopInfo.IsNestingLegal = false; 930 HWLoopInfo.PerformEntryTest = true; 931 HWLoopInfo.CountType = Type::getInt32Ty(C); 932 HWLoopInfo.LoopDecrement = ConstantInt::get(HWLoopInfo.CountType, 1); 933 return true; 934 } 935 936 void ARMTTIImpl::getUnrollingPreferences(Loop *L, ScalarEvolution &SE, 937 TTI::UnrollingPreferences &UP) { 938 // Only currently enable these preferences for M-Class cores. 939 if (!ST->isMClass()) 940 return BasicTTIImplBase::getUnrollingPreferences(L, SE, UP); 941 942 // Disable loop unrolling for Oz and Os. 943 UP.OptSizeThreshold = 0; 944 UP.PartialOptSizeThreshold = 0; 945 if (L->getHeader()->getParent()->hasOptSize()) 946 return; 947 948 // Only enable on Thumb-2 targets. 949 if (!ST->isThumb2()) 950 return; 951 952 SmallVector<BasicBlock*, 4> ExitingBlocks; 953 L->getExitingBlocks(ExitingBlocks); 954 LLVM_DEBUG(dbgs() << "Loop has:\n" 955 << "Blocks: " << L->getNumBlocks() << "\n" 956 << "Exit blocks: " << ExitingBlocks.size() << "\n"); 957 958 // Only allow another exit other than the latch. This acts as an early exit 959 // as it mirrors the profitability calculation of the runtime unroller. 960 if (ExitingBlocks.size() > 2) 961 return; 962 963 // Limit the CFG of the loop body for targets with a branch predictor. 964 // Allowing 4 blocks permits if-then-else diamonds in the body. 965 if (ST->hasBranchPredictor() && L->getNumBlocks() > 4) 966 return; 967 968 // Scan the loop: don't unroll loops with calls as this could prevent 969 // inlining. 970 unsigned Cost = 0; 971 for (auto *BB : L->getBlocks()) { 972 for (auto &I : *BB) { 973 if (isa<CallInst>(I) || isa<InvokeInst>(I)) { 974 ImmutableCallSite CS(&I); 975 if (const Function *F = CS.getCalledFunction()) { 976 if (!isLoweredToCall(F)) 977 continue; 978 } 979 return; 980 } 981 // Don't unroll vectorised loop. MVE does not benefit from it as much as 982 // scalar code. 983 if (I.getType()->isVectorTy()) 984 return; 985 986 SmallVector<const Value*, 4> Operands(I.value_op_begin(), 987 I.value_op_end()); 988 Cost += getUserCost(&I, Operands); 989 } 990 } 991 992 LLVM_DEBUG(dbgs() << "Cost of loop: " << Cost << "\n"); 993 994 UP.Partial = true; 995 UP.Runtime = true; 996 UP.UpperBound = true; 997 UP.UnrollRemainder = true; 998 UP.DefaultUnrollRuntimeCount = 4; 999 UP.UnrollAndJam = true; 1000 UP.UnrollAndJamInnerLoopThreshold = 60; 1001 1002 // Force unrolling small loops can be very useful because of the branch 1003 // taken cost of the backedge. 1004 if (Cost < 12) 1005 UP.Force = true; 1006 } 1007