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