| //===- AMDGPUTargetTransformInfo.cpp - AMDGPU specific TTI pass -----------===// | |
| // | |
| // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. | |
| // See https://llvm.org/LICENSE.txt for license information. | |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception | |
| // | |
| //===----------------------------------------------------------------------===// | |
| // | |
| // \file | |
| // This file implements a TargetTransformInfo analysis pass specific to the | |
| // AMDGPU target machine. It uses the target's detailed information to provide | |
| // more precise answers to certain TTI queries, while letting the target | |
| // independent and default TTI implementations handle the rest. | |
| // | |
| //===----------------------------------------------------------------------===// | |
| #include "AMDGPUTargetTransformInfo.h" | |
| #include "AMDGPUSubtarget.h" | |
| #include "Utils/AMDGPUBaseInfo.h" | |
| #include "llvm/ADT/STLExtras.h" | |
| #include "llvm/Analysis/LoopInfo.h" | |
| #include "llvm/Analysis/TargetTransformInfo.h" | |
| #include "llvm/Analysis/ValueTracking.h" | |
| #include "llvm/CodeGen/ISDOpcodes.h" | |
| #include "llvm/CodeGen/ValueTypes.h" | |
| #include "llvm/IR/Argument.h" | |
| #include "llvm/IR/Attributes.h" | |
| #include "llvm/IR/BasicBlock.h" | |
| #include "llvm/IR/CallingConv.h" | |
| #include "llvm/IR/DataLayout.h" | |
| #include "llvm/IR/DerivedTypes.h" | |
| #include "llvm/IR/Function.h" | |
| #include "llvm/IR/Instruction.h" | |
| #include "llvm/IR/Instructions.h" | |
| #include "llvm/IR/IntrinsicInst.h" | |
| #include "llvm/IR/Module.h" | |
| #include "llvm/IR/PatternMatch.h" | |
| #include "llvm/IR/Type.h" | |
| #include "llvm/IR/Value.h" | |
| #include "llvm/MC/SubtargetFeature.h" | |
| #include "llvm/Support/Casting.h" | |
| #include "llvm/Support/CommandLine.h" | |
| #include "llvm/Support/Debug.h" | |
| #include "llvm/Support/ErrorHandling.h" | |
| #include "llvm/Support/MachineValueType.h" | |
| #include "llvm/Support/raw_ostream.h" | |
| #include "llvm/Target/TargetMachine.h" | |
| #include <algorithm> | |
| #include <cassert> | |
| #include <limits> | |
| #include <utility> | |
| using namespace llvm; | |
| #define DEBUG_TYPE "AMDGPUtti" | |
| static cl::opt<unsigned> UnrollThresholdPrivate( | |
| "amdgpu-unroll-threshold-private", | |
| cl::desc("Unroll threshold for AMDGPU if private memory used in a loop"), | |
| cl::init(2700), cl::Hidden); | |
| static cl::opt<unsigned> UnrollThresholdLocal( | |
| "amdgpu-unroll-threshold-local", | |
| cl::desc("Unroll threshold for AMDGPU if local memory used in a loop"), | |
| cl::init(1000), cl::Hidden); | |
| static cl::opt<unsigned> UnrollThresholdIf( | |
| "amdgpu-unroll-threshold-if", | |
| cl::desc("Unroll threshold increment for AMDGPU for each if statement inside loop"), | |
| cl::init(150), cl::Hidden); | |
| static cl::opt<bool> UnrollRuntimeLocal( | |
| "amdgpu-unroll-runtime-local", | |
| cl::desc("Allow runtime unroll for AMDGPU if local memory used in a loop"), | |
| cl::init(true), cl::Hidden); | |
| static cl::opt<bool> UseLegacyDA( | |
| "amdgpu-use-legacy-divergence-analysis", | |
| cl::desc("Enable legacy divergence analysis for AMDGPU"), | |
| cl::init(false), cl::Hidden); | |
| static cl::opt<unsigned> UnrollMaxBlockToAnalyze( | |
| "amdgpu-unroll-max-block-to-analyze", | |
| cl::desc("Inner loop block size threshold to analyze in unroll for AMDGPU"), | |
| cl::init(20), cl::Hidden); | |
| static bool dependsOnLocalPhi(const Loop *L, const Value *Cond, | |
| unsigned Depth = 0) { | |
| const Instruction *I = dyn_cast<Instruction>(Cond); | |
| if (!I) | |
| return false; | |
| for (const Value *V : I->operand_values()) { | |
| if (!L->contains(I)) | |
| continue; | |
| if (const PHINode *PHI = dyn_cast<PHINode>(V)) { | |
| if (llvm::none_of(L->getSubLoops(), [PHI](const Loop* SubLoop) { | |
| return SubLoop->contains(PHI); })) | |
| return true; | |
| } else if (Depth < 10 && dependsOnLocalPhi(L, V, Depth+1)) | |
| return true; | |
| } | |
| return false; | |
| } | |
| void AMDGPUTTIImpl::getUnrollingPreferences(Loop *L, ScalarEvolution &SE, | |
| TTI::UnrollingPreferences &UP) { | |
| const Function &F = *L->getHeader()->getParent(); | |
| UP.Threshold = AMDGPU::getIntegerAttribute(F, "amdgpu-unroll-threshold", 300); | |
| UP.MaxCount = std::numeric_limits<unsigned>::max(); | |
| UP.Partial = true; | |
| // TODO: Do we want runtime unrolling? | |
| // Maximum alloca size than can fit registers. Reserve 16 registers. | |
| const unsigned MaxAlloca = (256 - 16) * 4; | |
| unsigned ThresholdPrivate = UnrollThresholdPrivate; | |
| unsigned ThresholdLocal = UnrollThresholdLocal; | |
| unsigned MaxBoost = std::max(ThresholdPrivate, ThresholdLocal); | |
| for (const BasicBlock *BB : L->getBlocks()) { | |
| const DataLayout &DL = BB->getModule()->getDataLayout(); | |
| unsigned LocalGEPsSeen = 0; | |
| if (llvm::any_of(L->getSubLoops(), [BB](const Loop* SubLoop) { | |
| return SubLoop->contains(BB); })) | |
| continue; // Block belongs to an inner loop. | |
| for (const Instruction &I : *BB) { | |
| // Unroll a loop which contains an "if" statement whose condition | |
| // defined by a PHI belonging to the loop. This may help to eliminate | |
| // if region and potentially even PHI itself, saving on both divergence | |
| // and registers used for the PHI. | |
| // Add a small bonus for each of such "if" statements. | |
| if (const BranchInst *Br = dyn_cast<BranchInst>(&I)) { | |
| if (UP.Threshold < MaxBoost && Br->isConditional()) { | |
| BasicBlock *Succ0 = Br->getSuccessor(0); | |
| BasicBlock *Succ1 = Br->getSuccessor(1); | |
| if ((L->contains(Succ0) && L->isLoopExiting(Succ0)) || | |
| (L->contains(Succ1) && L->isLoopExiting(Succ1))) | |
| continue; | |
| if (dependsOnLocalPhi(L, Br->getCondition())) { | |
| UP.Threshold += UnrollThresholdIf; | |
| LLVM_DEBUG(dbgs() << "Set unroll threshold " << UP.Threshold | |
| << " for loop:\n" | |
| << *L << " due to " << *Br << '\n'); | |
| if (UP.Threshold >= MaxBoost) | |
| return; | |
| } | |
| } | |
| continue; | |
| } | |
| const GetElementPtrInst *GEP = dyn_cast<GetElementPtrInst>(&I); | |
| if (!GEP) | |
| continue; | |
| unsigned AS = GEP->getAddressSpace(); | |
| unsigned Threshold = 0; | |
| if (AS == AMDGPUAS::PRIVATE_ADDRESS) | |
| Threshold = ThresholdPrivate; | |
| else if (AS == AMDGPUAS::LOCAL_ADDRESS || AS == AMDGPUAS::REGION_ADDRESS) | |
| Threshold = ThresholdLocal; | |
| else | |
| continue; | |
| if (UP.Threshold >= Threshold) | |
| continue; | |
| if (AS == AMDGPUAS::PRIVATE_ADDRESS) { | |
| const Value *Ptr = GEP->getPointerOperand(); | |
| const AllocaInst *Alloca = | |
| dyn_cast<AllocaInst>(GetUnderlyingObject(Ptr, DL)); | |
| if (!Alloca || !Alloca->isStaticAlloca()) | |
| continue; | |
| Type *Ty = Alloca->getAllocatedType(); | |
| unsigned AllocaSize = Ty->isSized() ? DL.getTypeAllocSize(Ty) : 0; | |
| if (AllocaSize > MaxAlloca) | |
| continue; | |
| } else if (AS == AMDGPUAS::LOCAL_ADDRESS || | |
| AS == AMDGPUAS::REGION_ADDRESS) { | |
| LocalGEPsSeen++; | |
| // Inhibit unroll for local memory if we have seen addressing not to | |
| // a variable, most likely we will be unable to combine it. | |
| // Do not unroll too deep inner loops for local memory to give a chance | |
| // to unroll an outer loop for a more important reason. | |
| if (LocalGEPsSeen > 1 || L->getLoopDepth() > 2 || | |
| (!isa<GlobalVariable>(GEP->getPointerOperand()) && | |
| !isa<Argument>(GEP->getPointerOperand()))) | |
| continue; | |
| LLVM_DEBUG(dbgs() << "Allow unroll runtime for loop:\n" | |
| << *L << " due to LDS use.\n"); | |
| UP.Runtime = UnrollRuntimeLocal; | |
| } | |
| // Check if GEP depends on a value defined by this loop itself. | |
| bool HasLoopDef = false; | |
| for (const Value *Op : GEP->operands()) { | |
| const Instruction *Inst = dyn_cast<Instruction>(Op); | |
| if (!Inst || L->isLoopInvariant(Op)) | |
| continue; | |
| if (llvm::any_of(L->getSubLoops(), [Inst](const Loop* SubLoop) { | |
| return SubLoop->contains(Inst); })) | |
| continue; | |
| HasLoopDef = true; | |
| break; | |
| } | |
| if (!HasLoopDef) | |
| continue; | |
| // We want to do whatever we can to limit the number of alloca | |
| // instructions that make it through to the code generator. allocas | |
| // require us to use indirect addressing, which is slow and prone to | |
| // compiler bugs. If this loop does an address calculation on an | |
| // alloca ptr, then we want to use a higher than normal loop unroll | |
| // threshold. This will give SROA a better chance to eliminate these | |
| // allocas. | |
| // | |
| // We also want to have more unrolling for local memory to let ds | |
| // instructions with different offsets combine. | |
| // | |
| // Don't use the maximum allowed value here as it will make some | |
| // programs way too big. | |
| UP.Threshold = Threshold; | |
| LLVM_DEBUG(dbgs() << "Set unroll threshold " << Threshold | |
| << " for loop:\n" | |
| << *L << " due to " << *GEP << '\n'); | |
| if (UP.Threshold >= MaxBoost) | |
| return; | |
| } | |
| // If we got a GEP in a small BB from inner loop then increase max trip | |
| // count to analyze for better estimation cost in unroll | |
| if (L->empty() && BB->size() < UnrollMaxBlockToAnalyze) | |
| UP.MaxIterationsCountToAnalyze = 32; | |
| } | |
| } | |
| void AMDGPUTTIImpl::getPeelingPreferences(Loop *L, ScalarEvolution &SE, | |
| TTI::PeelingPreferences &PP) { | |
| BaseT::getPeelingPreferences(L, SE, PP); | |
| } | |
| unsigned GCNTTIImpl::getHardwareNumberOfRegisters(bool Vec) const { | |
| // The concept of vector registers doesn't really exist. Some packed vector | |
| // operations operate on the normal 32-bit registers. | |
| return MaxVGPRs; | |
| } | |
| unsigned GCNTTIImpl::getNumberOfRegisters(bool Vec) const { | |
| // This is really the number of registers to fill when vectorizing / | |
| // interleaving loops, so we lie to avoid trying to use all registers. | |
| return getHardwareNumberOfRegisters(Vec) >> 3; | |
| } | |
| unsigned GCNTTIImpl::getNumberOfRegisters(unsigned RCID) const { | |
| const SIRegisterInfo *TRI = ST->getRegisterInfo(); | |
| const TargetRegisterClass *RC = TRI->getRegClass(RCID); | |
| unsigned NumVGPRs = (TRI->getRegSizeInBits(*RC) + 31) / 32; | |
| return getHardwareNumberOfRegisters(false) / NumVGPRs; | |
| } | |
| unsigned GCNTTIImpl::getRegisterBitWidth(bool Vector) const { | |
| return 32; | |
| } | |
| unsigned GCNTTIImpl::getMinVectorRegisterBitWidth() const { | |
| return 32; | |
| } | |
| unsigned GCNTTIImpl::getLoadVectorFactor(unsigned VF, unsigned LoadSize, | |
| unsigned ChainSizeInBytes, | |
| VectorType *VecTy) const { | |
| unsigned VecRegBitWidth = VF * LoadSize; | |
| if (VecRegBitWidth > 128 && VecTy->getScalarSizeInBits() < 32) | |
| // TODO: Support element-size less than 32bit? | |
| return 128 / LoadSize; | |
| return VF; | |
| } | |
| unsigned GCNTTIImpl::getStoreVectorFactor(unsigned VF, unsigned StoreSize, | |
| unsigned ChainSizeInBytes, | |
| VectorType *VecTy) const { | |
| unsigned VecRegBitWidth = VF * StoreSize; | |
| if (VecRegBitWidth > 128) | |
| return 128 / StoreSize; | |
| return VF; | |
| } | |
| unsigned GCNTTIImpl::getLoadStoreVecRegBitWidth(unsigned AddrSpace) const { | |
| if (AddrSpace == AMDGPUAS::GLOBAL_ADDRESS || | |
| AddrSpace == AMDGPUAS::CONSTANT_ADDRESS || | |
| AddrSpace == AMDGPUAS::CONSTANT_ADDRESS_32BIT || | |
| AddrSpace == AMDGPUAS::BUFFER_FAT_POINTER) { | |
| return 512; | |
| } | |
| if (AddrSpace == AMDGPUAS::PRIVATE_ADDRESS) | |
| return 8 * ST->getMaxPrivateElementSize(); | |
| // Common to flat, global, local and region. Assume for unknown addrspace. | |
| return 128; | |
| } | |
| bool GCNTTIImpl::isLegalToVectorizeMemChain(unsigned ChainSizeInBytes, | |
| Align Alignment, | |
| unsigned AddrSpace) const { | |
| // We allow vectorization of flat stores, even though we may need to decompose | |
| // them later if they may access private memory. We don't have enough context | |
| // here, and legalization can handle it. | |
| if (AddrSpace == AMDGPUAS::PRIVATE_ADDRESS) { | |
| return (Alignment >= 4 || ST->hasUnalignedScratchAccess()) && | |
| ChainSizeInBytes <= ST->getMaxPrivateElementSize(); | |
| } | |
| return true; | |
| } | |
| bool GCNTTIImpl::isLegalToVectorizeLoadChain(unsigned ChainSizeInBytes, | |
| Align Alignment, | |
| unsigned AddrSpace) const { | |
| return isLegalToVectorizeMemChain(ChainSizeInBytes, Alignment, AddrSpace); | |
| } | |
| bool GCNTTIImpl::isLegalToVectorizeStoreChain(unsigned ChainSizeInBytes, | |
| Align Alignment, | |
| unsigned AddrSpace) const { | |
| return isLegalToVectorizeMemChain(ChainSizeInBytes, Alignment, AddrSpace); | |
| } | |
| // FIXME: Really we would like to issue multiple 128-bit loads and stores per | |
| // iteration. Should we report a larger size and let it legalize? | |
| // | |
| // FIXME: Should we use narrower types for local/region, or account for when | |
| // unaligned access is legal? | |
| // | |
| // FIXME: This could use fine tuning and microbenchmarks. | |
| Type *GCNTTIImpl::getMemcpyLoopLoweringType(LLVMContext &Context, Value *Length, | |
| unsigned SrcAddrSpace, | |
| unsigned DestAddrSpace, | |
| unsigned SrcAlign, | |
| unsigned DestAlign) const { | |
| unsigned MinAlign = std::min(SrcAlign, DestAlign); | |
| // A (multi-)dword access at an address == 2 (mod 4) will be decomposed by the | |
| // hardware into byte accesses. If you assume all alignments are equally | |
| // probable, it's more efficient on average to use short accesses for this | |
| // case. | |
| if (MinAlign == 2) | |
| return Type::getInt16Ty(Context); | |
| // Not all subtargets have 128-bit DS instructions, and we currently don't | |
| // form them by default. | |
| if (SrcAddrSpace == AMDGPUAS::LOCAL_ADDRESS || | |
| SrcAddrSpace == AMDGPUAS::REGION_ADDRESS || | |
| DestAddrSpace == AMDGPUAS::LOCAL_ADDRESS || | |
| DestAddrSpace == AMDGPUAS::REGION_ADDRESS) { | |
| return FixedVectorType::get(Type::getInt32Ty(Context), 2); | |
| } | |
| // Global memory works best with 16-byte accesses. Private memory will also | |
| // hit this, although they'll be decomposed. | |
| return FixedVectorType::get(Type::getInt32Ty(Context), 4); | |
| } | |
| void GCNTTIImpl::getMemcpyLoopResidualLoweringType( | |
| SmallVectorImpl<Type *> &OpsOut, LLVMContext &Context, | |
| unsigned RemainingBytes, unsigned SrcAddrSpace, unsigned DestAddrSpace, | |
| unsigned SrcAlign, unsigned DestAlign) const { | |
| assert(RemainingBytes < 16); | |
| unsigned MinAlign = std::min(SrcAlign, DestAlign); | |
| if (MinAlign != 2) { | |
| Type *I64Ty = Type::getInt64Ty(Context); | |
| while (RemainingBytes >= 8) { | |
| OpsOut.push_back(I64Ty); | |
| RemainingBytes -= 8; | |
| } | |
| Type *I32Ty = Type::getInt32Ty(Context); | |
| while (RemainingBytes >= 4) { | |
| OpsOut.push_back(I32Ty); | |
| RemainingBytes -= 4; | |
| } | |
| } | |
| Type *I16Ty = Type::getInt16Ty(Context); | |
| while (RemainingBytes >= 2) { | |
| OpsOut.push_back(I16Ty); | |
| RemainingBytes -= 2; | |
| } | |
| Type *I8Ty = Type::getInt8Ty(Context); | |
| while (RemainingBytes) { | |
| OpsOut.push_back(I8Ty); | |
| --RemainingBytes; | |
| } | |
| } | |
| unsigned GCNTTIImpl::getMaxInterleaveFactor(unsigned VF) { | |
| // Disable unrolling if the loop is not vectorized. | |
| // TODO: Enable this again. | |
| if (VF == 1) | |
| return 1; | |
| return 8; | |
| } | |
| bool GCNTTIImpl::getTgtMemIntrinsic(IntrinsicInst *Inst, | |
| MemIntrinsicInfo &Info) const { | |
| switch (Inst->getIntrinsicID()) { | |
| case Intrinsic::amdgcn_atomic_inc: | |
| case Intrinsic::amdgcn_atomic_dec: | |
| case Intrinsic::amdgcn_ds_ordered_add: | |
| case Intrinsic::amdgcn_ds_ordered_swap: | |
| case Intrinsic::amdgcn_ds_fadd: | |
| case Intrinsic::amdgcn_ds_fmin: | |
| case Intrinsic::amdgcn_ds_fmax: { | |
| auto *Ordering = dyn_cast<ConstantInt>(Inst->getArgOperand(2)); | |
| auto *Volatile = dyn_cast<ConstantInt>(Inst->getArgOperand(4)); | |
| if (!Ordering || !Volatile) | |
| return false; // Invalid. | |
| unsigned OrderingVal = Ordering->getZExtValue(); | |
| if (OrderingVal > static_cast<unsigned>(AtomicOrdering::SequentiallyConsistent)) | |
| return false; | |
| Info.PtrVal = Inst->getArgOperand(0); | |
| Info.Ordering = static_cast<AtomicOrdering>(OrderingVal); | |
| Info.ReadMem = true; | |
| Info.WriteMem = true; | |
| Info.IsVolatile = !Volatile->isNullValue(); | |
| return true; | |
| } | |
| default: | |
| return false; | |
| } | |
| } | |
| int GCNTTIImpl::getArithmeticInstrCost(unsigned Opcode, Type *Ty, | |
| TTI::TargetCostKind CostKind, | |
| TTI::OperandValueKind Opd1Info, | |
| TTI::OperandValueKind Opd2Info, | |
| TTI::OperandValueProperties Opd1PropInfo, | |
| TTI::OperandValueProperties Opd2PropInfo, | |
| ArrayRef<const Value *> Args, | |
| const Instruction *CxtI) { | |
| EVT OrigTy = TLI->getValueType(DL, Ty); | |
| if (!OrigTy.isSimple()) { | |
| // FIXME: We're having to query the throughput cost so that the basic | |
| // implementation tries to generate legalize and scalarization costs. Maybe | |
| // we could hoist the scalarization code here? | |
| return BaseT::getArithmeticInstrCost(Opcode, Ty, TTI::TCK_RecipThroughput, | |
| Opd1Info, Opd2Info, | |
| Opd1PropInfo, Opd2PropInfo); | |
| } | |
| // Legalize the type. | |
| std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Ty); | |
| int ISD = TLI->InstructionOpcodeToISD(Opcode); | |
| // Because we don't have any legal vector operations, but the legal types, we | |
| // need to account for split vectors. | |
| unsigned NElts = LT.second.isVector() ? | |
| LT.second.getVectorNumElements() : 1; | |
| MVT::SimpleValueType SLT = LT.second.getScalarType().SimpleTy; | |
| switch (ISD) { | |
| case ISD::SHL: | |
| case ISD::SRL: | |
| case ISD::SRA: | |
| if (SLT == MVT::i64) | |
| return get64BitInstrCost() * LT.first * NElts; | |
| if (ST->has16BitInsts() && SLT == MVT::i16) | |
| NElts = (NElts + 1) / 2; | |
| // i32 | |
| return getFullRateInstrCost() * LT.first * NElts; | |
| case ISD::ADD: | |
| case ISD::SUB: | |
| case ISD::AND: | |
| case ISD::OR: | |
| case ISD::XOR: | |
| if (SLT == MVT::i64) { | |
| // and, or and xor are typically split into 2 VALU instructions. | |
| return 2 * getFullRateInstrCost() * LT.first * NElts; | |
| } | |
| if (ST->has16BitInsts() && SLT == MVT::i16) | |
| NElts = (NElts + 1) / 2; | |
| return LT.first * NElts * getFullRateInstrCost(); | |
| case ISD::MUL: { | |
| const int QuarterRateCost = getQuarterRateInstrCost(); | |
| if (SLT == MVT::i64) { | |
| const int FullRateCost = getFullRateInstrCost(); | |
| return (4 * QuarterRateCost + (2 * 2) * FullRateCost) * LT.first * NElts; | |
| } | |
| if (ST->has16BitInsts() && SLT == MVT::i16) | |
| NElts = (NElts + 1) / 2; | |
| // i32 | |
| return QuarterRateCost * NElts * LT.first; | |
| } | |
| case ISD::FADD: | |
| case ISD::FSUB: | |
| case ISD::FMUL: | |
| if (SLT == MVT::f64) | |
| return LT.first * NElts * get64BitInstrCost(); | |
| if (ST->has16BitInsts() && SLT == MVT::f16) | |
| NElts = (NElts + 1) / 2; | |
| if (SLT == MVT::f32 || SLT == MVT::f16) | |
| return LT.first * NElts * getFullRateInstrCost(); | |
| break; | |
| case ISD::FDIV: | |
| case ISD::FREM: | |
| // FIXME: frem should be handled separately. The fdiv in it is most of it, | |
| // but the current lowering is also not entirely correct. | |
| if (SLT == MVT::f64) { | |
| int Cost = 4 * get64BitInstrCost() + 7 * getQuarterRateInstrCost(); | |
| // Add cost of workaround. | |
| if (!ST->hasUsableDivScaleConditionOutput()) | |
| Cost += 3 * getFullRateInstrCost(); | |
| return LT.first * Cost * NElts; | |
| } | |
| if (!Args.empty() && match(Args[0], PatternMatch::m_FPOne())) { | |
| // TODO: This is more complicated, unsafe flags etc. | |
| if ((SLT == MVT::f32 && !HasFP32Denormals) || | |
| (SLT == MVT::f16 && ST->has16BitInsts())) { | |
| return LT.first * getQuarterRateInstrCost() * NElts; | |
| } | |
| } | |
| if (SLT == MVT::f16 && ST->has16BitInsts()) { | |
| // 2 x v_cvt_f32_f16 | |
| // f32 rcp | |
| // f32 fmul | |
| // v_cvt_f16_f32 | |
| // f16 div_fixup | |
| int Cost = 4 * getFullRateInstrCost() + 2 * getQuarterRateInstrCost(); | |
| return LT.first * Cost * NElts; | |
| } | |
| if (SLT == MVT::f32 || SLT == MVT::f16) { | |
| int Cost = 7 * getFullRateInstrCost() + 1 * getQuarterRateInstrCost(); | |
| if (!HasFP32Denormals) { | |
| // FP mode switches. | |
| Cost += 2 * getFullRateInstrCost(); | |
| } | |
| return LT.first * NElts * Cost; | |
| } | |
| break; | |
| case ISD::FNEG: | |
| // Use the backend' estimation. If fneg is not free each element will cost | |
| // one additional instruction. | |
| return TLI->isFNegFree(SLT) ? 0 : NElts; | |
| default: | |
| break; | |
| } | |
| return BaseT::getArithmeticInstrCost(Opcode, Ty, CostKind, Opd1Info, | |
| Opd2Info, | |
| Opd1PropInfo, Opd2PropInfo); | |
| } | |
| // Return true if there's a potential benefit from using v2f16 instructions for | |
| // an intrinsic, even if it requires nontrivial legalization. | |
| static bool intrinsicHasPackedVectorBenefit(Intrinsic::ID ID) { | |
| switch (ID) { | |
| case Intrinsic::fma: // TODO: fmuladd | |
| // There's a small benefit to using vector ops in the legalized code. | |
| case Intrinsic::round: | |
| return true; | |
| default: | |
| return false; | |
| } | |
| } | |
| int GCNTTIImpl::getIntrinsicInstrCost(const IntrinsicCostAttributes &ICA, | |
| TTI::TargetCostKind CostKind) { | |
| if (ICA.getID() == Intrinsic::fabs) | |
| return 0; | |
| if (!intrinsicHasPackedVectorBenefit(ICA.getID())) | |
| return BaseT::getIntrinsicInstrCost(ICA, CostKind); | |
| Type *RetTy = ICA.getReturnType(); | |
| EVT OrigTy = TLI->getValueType(DL, RetTy); | |
| if (!OrigTy.isSimple()) { | |
| return BaseT::getIntrinsicInstrCost(ICA, CostKind); | |
| } | |
| // Legalize the type. | |
| std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, RetTy); | |
| unsigned NElts = LT.second.isVector() ? | |
| LT.second.getVectorNumElements() : 1; | |
| MVT::SimpleValueType SLT = LT.second.getScalarType().SimpleTy; | |
| if (SLT == MVT::f64) | |
| return LT.first * NElts * get64BitInstrCost(); | |
| if (ST->has16BitInsts() && SLT == MVT::f16) | |
| NElts = (NElts + 1) / 2; | |
| // TODO: Get more refined intrinsic costs? | |
| unsigned InstRate = getQuarterRateInstrCost(); | |
| if (ICA.getID() == Intrinsic::fma) { | |
| InstRate = ST->hasFastFMAF32() ? getHalfRateInstrCost() | |
| : getQuarterRateInstrCost(); | |
| } | |
| return LT.first * NElts * InstRate; | |
| } | |
| unsigned GCNTTIImpl::getCFInstrCost(unsigned Opcode, | |
| TTI::TargetCostKind CostKind) { | |
| if (CostKind == TTI::TCK_CodeSize || CostKind == TTI::TCK_SizeAndLatency) | |
| return Opcode == Instruction::PHI ? 0 : 1; | |
| // XXX - For some reason this isn't called for switch. | |
| switch (Opcode) { | |
| case Instruction::Br: | |
| case Instruction::Ret: | |
| return 10; | |
| default: | |
| return BaseT::getCFInstrCost(Opcode, CostKind); | |
| } | |
| } | |
| int GCNTTIImpl::getArithmeticReductionCost(unsigned Opcode, VectorType *Ty, | |
| bool IsPairwise, | |
| TTI::TargetCostKind CostKind) { | |
| EVT OrigTy = TLI->getValueType(DL, Ty); | |
| // Computes cost on targets that have packed math instructions(which support | |
| // 16-bit types only). | |
| if (IsPairwise || | |
| !ST->hasVOP3PInsts() || | |
| OrigTy.getScalarSizeInBits() != 16) | |
| return BaseT::getArithmeticReductionCost(Opcode, Ty, IsPairwise, CostKind); | |
| std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Ty); | |
| return LT.first * getFullRateInstrCost(); | |
| } | |
| int GCNTTIImpl::getMinMaxReductionCost(VectorType *Ty, VectorType *CondTy, | |
| bool IsPairwise, bool IsUnsigned, | |
| TTI::TargetCostKind CostKind) { | |
| EVT OrigTy = TLI->getValueType(DL, Ty); | |
| // Computes cost on targets that have packed math instructions(which support | |
| // 16-bit types only). | |
| if (IsPairwise || | |
| !ST->hasVOP3PInsts() || | |
| OrigTy.getScalarSizeInBits() != 16) | |
| return BaseT::getMinMaxReductionCost(Ty, CondTy, IsPairwise, IsUnsigned, | |
| CostKind); | |
| std::pair<int, MVT> LT = TLI->getTypeLegalizationCost(DL, Ty); | |
| return LT.first * getHalfRateInstrCost(); | |
| } | |
| int GCNTTIImpl::getVectorInstrCost(unsigned Opcode, Type *ValTy, | |
| unsigned Index) { | |
| switch (Opcode) { | |
| case Instruction::ExtractElement: | |
| case Instruction::InsertElement: { | |
| unsigned EltSize | |
| = DL.getTypeSizeInBits(cast<VectorType>(ValTy)->getElementType()); | |
| if (EltSize < 32) { | |
| if (EltSize == 16 && Index == 0 && ST->has16BitInsts()) | |
| return 0; | |
| return BaseT::getVectorInstrCost(Opcode, ValTy, Index); | |
| } | |
| // Extracts are just reads of a subregister, so are free. Inserts are | |
| // considered free because we don't want to have any cost for scalarizing | |
| // operations, and we don't have to copy into a different register class. | |
| // Dynamic indexing isn't free and is best avoided. | |
| return Index == ~0u ? 2 : 0; | |
| } | |
| default: | |
| return BaseT::getVectorInstrCost(Opcode, ValTy, Index); | |
| } | |
| } | |
| static bool isArgPassedInSGPR(const Argument *A) { | |
| const Function *F = A->getParent(); | |
| // Arguments to compute shaders are never a source of divergence. | |
| CallingConv::ID CC = F->getCallingConv(); | |
| switch (CC) { | |
| case CallingConv::AMDGPU_KERNEL: | |
| case CallingConv::SPIR_KERNEL: | |
| return true; | |
| case CallingConv::AMDGPU_VS: | |
| case CallingConv::AMDGPU_LS: | |
| case CallingConv::AMDGPU_HS: | |
| case CallingConv::AMDGPU_ES: | |
| case CallingConv::AMDGPU_GS: | |
| case CallingConv::AMDGPU_PS: | |
| case CallingConv::AMDGPU_CS: | |
| // For non-compute shaders, SGPR inputs are marked with either inreg or byval. | |
| // Everything else is in VGPRs. | |
| return F->getAttributes().hasParamAttribute(A->getArgNo(), Attribute::InReg) || | |
| F->getAttributes().hasParamAttribute(A->getArgNo(), Attribute::ByVal); | |
| default: | |
| // TODO: Should calls support inreg for SGPR inputs? | |
| return false; | |
| } | |
| } | |
| /// Analyze if the results of inline asm are divergent. If \p Indices is empty, | |
| /// this is analyzing the collective result of all output registers. Otherwise, | |
| /// this is only querying a specific result index if this returns multiple | |
| /// registers in a struct. | |
| bool GCNTTIImpl::isInlineAsmSourceOfDivergence( | |
| const CallInst *CI, ArrayRef<unsigned> Indices) const { | |
| // TODO: Handle complex extract indices | |
| if (Indices.size() > 1) | |
| return true; | |
| const DataLayout &DL = CI->getModule()->getDataLayout(); | |
| const SIRegisterInfo *TRI = ST->getRegisterInfo(); | |
| TargetLowering::AsmOperandInfoVector TargetConstraints = | |
| TLI->ParseConstraints(DL, ST->getRegisterInfo(), *CI); | |
| const int TargetOutputIdx = Indices.empty() ? -1 : Indices[0]; | |
| int OutputIdx = 0; | |
| for (auto &TC : TargetConstraints) { | |
| if (TC.Type != InlineAsm::isOutput) | |
| continue; | |
| // Skip outputs we don't care about. | |
| if (TargetOutputIdx != -1 && TargetOutputIdx != OutputIdx++) | |
| continue; | |
| TLI->ComputeConstraintToUse(TC, SDValue()); | |
| Register AssignedReg; | |
| const TargetRegisterClass *RC; | |
| std::tie(AssignedReg, RC) = TLI->getRegForInlineAsmConstraint( | |
| TRI, TC.ConstraintCode, TC.ConstraintVT); | |
| if (AssignedReg) { | |
| // FIXME: This is a workaround for getRegForInlineAsmConstraint | |
| // returning VS_32 | |
| RC = TRI->getPhysRegClass(AssignedReg); | |
| } | |
| // For AGPR constraints null is returned on subtargets without AGPRs, so | |
| // assume divergent for null. | |
| if (!RC || !TRI->isSGPRClass(RC)) | |
| return true; | |
| } | |
| return false; | |
| } | |
| /// \returns true if the new GPU divergence analysis is enabled. | |
| bool GCNTTIImpl::useGPUDivergenceAnalysis() const { | |
| return !UseLegacyDA; | |
| } | |
| /// \returns true if the result of the value could potentially be | |
| /// different across workitems in a wavefront. | |
| bool GCNTTIImpl::isSourceOfDivergence(const Value *V) const { | |
| if (const Argument *A = dyn_cast<Argument>(V)) | |
| return !isArgPassedInSGPR(A); | |
| // Loads from the private and flat address spaces are divergent, because | |
| // threads can execute the load instruction with the same inputs and get | |
| // different results. | |
| // | |
| // All other loads are not divergent, because if threads issue loads with the | |
| // same arguments, they will always get the same result. | |
| if (const LoadInst *Load = dyn_cast<LoadInst>(V)) | |
| return Load->getPointerAddressSpace() == AMDGPUAS::PRIVATE_ADDRESS || | |
| Load->getPointerAddressSpace() == AMDGPUAS::FLAT_ADDRESS; | |
| // Atomics are divergent because they are executed sequentially: when an | |
| // atomic operation refers to the same address in each thread, then each | |
| // thread after the first sees the value written by the previous thread as | |
| // original value. | |
| if (isa<AtomicRMWInst>(V) || isa<AtomicCmpXchgInst>(V)) | |
| return true; | |
| if (const IntrinsicInst *Intrinsic = dyn_cast<IntrinsicInst>(V)) | |
| return AMDGPU::isIntrinsicSourceOfDivergence(Intrinsic->getIntrinsicID()); | |
| // Assume all function calls are a source of divergence. | |
| if (const CallInst *CI = dyn_cast<CallInst>(V)) { | |
| if (CI->isInlineAsm()) | |
| return isInlineAsmSourceOfDivergence(CI); | |
| return true; | |
| } | |
| // Assume all function calls are a source of divergence. | |
| if (isa<InvokeInst>(V)) | |
| return true; | |
| return false; | |
| } | |
| bool GCNTTIImpl::isAlwaysUniform(const Value *V) const { | |
| if (const IntrinsicInst *Intrinsic = dyn_cast<IntrinsicInst>(V)) { | |
| switch (Intrinsic->getIntrinsicID()) { | |
| default: | |
| return false; | |
| case Intrinsic::amdgcn_readfirstlane: | |
| case Intrinsic::amdgcn_readlane: | |
| case Intrinsic::amdgcn_icmp: | |
| case Intrinsic::amdgcn_fcmp: | |
| case Intrinsic::amdgcn_ballot: | |
| case Intrinsic::amdgcn_if_break: | |
| return true; | |
| } | |
| } | |
| if (const CallInst *CI = dyn_cast<CallInst>(V)) { | |
| if (CI->isInlineAsm()) | |
| return !isInlineAsmSourceOfDivergence(CI); | |
| return false; | |
| } | |
| const ExtractValueInst *ExtValue = dyn_cast<ExtractValueInst>(V); | |
| if (!ExtValue) | |
| return false; | |
| const CallInst *CI = dyn_cast<CallInst>(ExtValue->getOperand(0)); | |
| if (!CI) | |
| return false; | |
| if (const IntrinsicInst *Intrinsic = dyn_cast<IntrinsicInst>(CI)) { | |
| switch (Intrinsic->getIntrinsicID()) { | |
| default: | |
| return false; | |
| case Intrinsic::amdgcn_if: | |
| case Intrinsic::amdgcn_else: { | |
| ArrayRef<unsigned> Indices = ExtValue->getIndices(); | |
| return Indices.size() == 1 && Indices[0] == 1; | |
| } | |
| } | |
| } | |
| // If we have inline asm returning mixed SGPR and VGPR results, we inferred | |
| // divergent for the overall struct return. We need to override it in the | |
| // case we're extracting an SGPR component here. | |
| if (CI->isInlineAsm()) | |
| return !isInlineAsmSourceOfDivergence(CI, ExtValue->getIndices()); | |
| return false; | |
| } | |
| bool GCNTTIImpl::collectFlatAddressOperands(SmallVectorImpl<int> &OpIndexes, | |
| Intrinsic::ID IID) const { | |
| switch (IID) { | |
| case Intrinsic::amdgcn_atomic_inc: | |
| case Intrinsic::amdgcn_atomic_dec: | |
| case Intrinsic::amdgcn_ds_fadd: | |
| case Intrinsic::amdgcn_ds_fmin: | |
| case Intrinsic::amdgcn_ds_fmax: | |
| case Intrinsic::amdgcn_is_shared: | |
| case Intrinsic::amdgcn_is_private: | |
| OpIndexes.push_back(0); | |
| return true; | |
| default: | |
| return false; | |
| } | |
| } | |
| Value *GCNTTIImpl::rewriteIntrinsicWithAddressSpace(IntrinsicInst *II, | |
| Value *OldV, | |
| Value *NewV) const { | |
| auto IntrID = II->getIntrinsicID(); | |
| switch (IntrID) { | |
| case Intrinsic::amdgcn_atomic_inc: | |
| case Intrinsic::amdgcn_atomic_dec: | |
| case Intrinsic::amdgcn_ds_fadd: | |
| case Intrinsic::amdgcn_ds_fmin: | |
| case Intrinsic::amdgcn_ds_fmax: { | |
| const ConstantInt *IsVolatile = cast<ConstantInt>(II->getArgOperand(4)); | |
| if (!IsVolatile->isZero()) | |
| return nullptr; | |
| Module *M = II->getParent()->getParent()->getParent(); | |
| Type *DestTy = II->getType(); | |
| Type *SrcTy = NewV->getType(); | |
| Function *NewDecl = | |
| Intrinsic::getDeclaration(M, II->getIntrinsicID(), {DestTy, SrcTy}); | |
| II->setArgOperand(0, NewV); | |
| II->setCalledFunction(NewDecl); | |
| return II; | |
| } | |
| case Intrinsic::amdgcn_is_shared: | |
| case Intrinsic::amdgcn_is_private: { | |
| unsigned TrueAS = IntrID == Intrinsic::amdgcn_is_shared ? | |
| AMDGPUAS::LOCAL_ADDRESS : AMDGPUAS::PRIVATE_ADDRESS; | |
| unsigned NewAS = NewV->getType()->getPointerAddressSpace(); | |
| LLVMContext &Ctx = NewV->getType()->getContext(); | |
| ConstantInt *NewVal = (TrueAS == NewAS) ? | |
| ConstantInt::getTrue(Ctx) : ConstantInt::getFalse(Ctx); | |
| return NewVal; | |
| } | |
| case Intrinsic::ptrmask: { | |
| unsigned OldAS = OldV->getType()->getPointerAddressSpace(); | |
| unsigned NewAS = NewV->getType()->getPointerAddressSpace(); | |
| Value *MaskOp = II->getArgOperand(1); | |
| Type *MaskTy = MaskOp->getType(); | |
| bool DoTruncate = false; | |
| if (!getTLI()->isNoopAddrSpaceCast(OldAS, NewAS)) { | |
| // All valid 64-bit to 32-bit casts work by chopping off the high | |
| // bits. Any masking only clearing the low bits will also apply in the new | |
| // address space. | |
| if (DL.getPointerSizeInBits(OldAS) != 64 || | |
| DL.getPointerSizeInBits(NewAS) != 32) | |
| return nullptr; | |
| // TODO: Do we need to thread more context in here? | |
| KnownBits Known = computeKnownBits(MaskOp, DL, 0, nullptr, II); | |
| if (Known.countMinLeadingOnes() < 32) | |
| return nullptr; | |
| DoTruncate = true; | |
| } | |
| IRBuilder<> B(II); | |
| if (DoTruncate) { | |
| MaskTy = B.getInt32Ty(); | |
| MaskOp = B.CreateTrunc(MaskOp, MaskTy); | |
| } | |
| return B.CreateIntrinsic(Intrinsic::ptrmask, {NewV->getType(), MaskTy}, | |
| {NewV, MaskOp}); | |
| } | |
| default: | |
| return nullptr; | |
| } | |
| } | |
| unsigned GCNTTIImpl::getShuffleCost(TTI::ShuffleKind Kind, VectorType *VT, | |
| int Index, VectorType *SubTp) { | |
| if (ST->hasVOP3PInsts()) { | |
| if (cast<FixedVectorType>(VT)->getNumElements() == 2 && | |
| DL.getTypeSizeInBits(VT->getElementType()) == 16) { | |
| // With op_sel VOP3P instructions freely can access the low half or high | |
| // half of a register, so any swizzle is free. | |
| switch (Kind) { | |
| case TTI::SK_Broadcast: | |
| case TTI::SK_Reverse: | |
| case TTI::SK_PermuteSingleSrc: | |
| return 0; | |
| default: | |
| break; | |
| } | |
| } | |
| } | |
| return BaseT::getShuffleCost(Kind, VT, Index, SubTp); | |
| } | |
| bool GCNTTIImpl::areInlineCompatible(const Function *Caller, | |
| const Function *Callee) const { | |
| const TargetMachine &TM = getTLI()->getTargetMachine(); | |
| const GCNSubtarget *CallerST | |
| = static_cast<const GCNSubtarget *>(TM.getSubtargetImpl(*Caller)); | |
| const GCNSubtarget *CalleeST | |
| = static_cast<const GCNSubtarget *>(TM.getSubtargetImpl(*Callee)); | |
| const FeatureBitset &CallerBits = CallerST->getFeatureBits(); | |
| const FeatureBitset &CalleeBits = CalleeST->getFeatureBits(); | |
| FeatureBitset RealCallerBits = CallerBits & ~InlineFeatureIgnoreList; | |
| FeatureBitset RealCalleeBits = CalleeBits & ~InlineFeatureIgnoreList; | |
| if ((RealCallerBits & RealCalleeBits) != RealCalleeBits) | |
| return false; | |
| // FIXME: dx10_clamp can just take the caller setting, but there seems to be | |
| // no way to support merge for backend defined attributes. | |
| AMDGPU::SIModeRegisterDefaults CallerMode(*Caller); | |
| AMDGPU::SIModeRegisterDefaults CalleeMode(*Callee); | |
| return CallerMode.isInlineCompatible(CalleeMode); | |
| } | |
| void GCNTTIImpl::getUnrollingPreferences(Loop *L, ScalarEvolution &SE, | |
| TTI::UnrollingPreferences &UP) { | |
| CommonTTI.getUnrollingPreferences(L, SE, UP); | |
| } | |
| void GCNTTIImpl::getPeelingPreferences(Loop *L, ScalarEvolution &SE, | |
| TTI::PeelingPreferences &PP) { | |
| CommonTTI.getPeelingPreferences(L, SE, PP); | |
| } | |
| unsigned R600TTIImpl::getHardwareNumberOfRegisters(bool Vec) const { | |
| return 4 * 128; // XXX - 4 channels. Should these count as vector instead? | |
| } | |
| unsigned R600TTIImpl::getNumberOfRegisters(bool Vec) const { | |
| return getHardwareNumberOfRegisters(Vec); | |
| } | |
| unsigned R600TTIImpl::getRegisterBitWidth(bool Vector) const { | |
| return 32; | |
| } | |
| unsigned R600TTIImpl::getMinVectorRegisterBitWidth() const { | |
| return 32; | |
| } | |
| unsigned R600TTIImpl::getLoadStoreVecRegBitWidth(unsigned AddrSpace) const { | |
| if (AddrSpace == AMDGPUAS::GLOBAL_ADDRESS || | |
| AddrSpace == AMDGPUAS::CONSTANT_ADDRESS) | |
| return 128; | |
| if (AddrSpace == AMDGPUAS::LOCAL_ADDRESS || | |
| AddrSpace == AMDGPUAS::REGION_ADDRESS) | |
| return 64; | |
| if (AddrSpace == AMDGPUAS::PRIVATE_ADDRESS) | |
| return 32; | |
| if ((AddrSpace == AMDGPUAS::PARAM_D_ADDRESS || | |
| AddrSpace == AMDGPUAS::PARAM_I_ADDRESS || | |
| (AddrSpace >= AMDGPUAS::CONSTANT_BUFFER_0 && | |
| AddrSpace <= AMDGPUAS::CONSTANT_BUFFER_15))) | |
| return 128; | |
| llvm_unreachable("unhandled address space"); | |
| } | |
| bool R600TTIImpl::isLegalToVectorizeMemChain(unsigned ChainSizeInBytes, | |
| Align Alignment, | |
| unsigned AddrSpace) const { | |
| // We allow vectorization of flat stores, even though we may need to decompose | |
| // them later if they may access private memory. We don't have enough context | |
| // here, and legalization can handle it. | |
| return (AddrSpace != AMDGPUAS::PRIVATE_ADDRESS); | |
| } | |
| bool R600TTIImpl::isLegalToVectorizeLoadChain(unsigned ChainSizeInBytes, | |
| Align Alignment, | |
| unsigned AddrSpace) const { | |
| return isLegalToVectorizeMemChain(ChainSizeInBytes, Alignment, AddrSpace); | |
| } | |
| bool R600TTIImpl::isLegalToVectorizeStoreChain(unsigned ChainSizeInBytes, | |
| Align Alignment, | |
| unsigned AddrSpace) const { | |
| return isLegalToVectorizeMemChain(ChainSizeInBytes, Alignment, AddrSpace); | |
| } | |
| unsigned R600TTIImpl::getMaxInterleaveFactor(unsigned VF) { | |
| // Disable unrolling if the loop is not vectorized. | |
| // TODO: Enable this again. | |
| if (VF == 1) | |
| return 1; | |
| return 8; | |
| } | |
| unsigned R600TTIImpl::getCFInstrCost(unsigned Opcode, | |
| TTI::TargetCostKind CostKind) { | |
| if (CostKind == TTI::TCK_CodeSize || CostKind == TTI::TCK_SizeAndLatency) | |
| return Opcode == Instruction::PHI ? 0 : 1; | |
| // XXX - For some reason this isn't called for switch. | |
| switch (Opcode) { | |
| case Instruction::Br: | |
| case Instruction::Ret: | |
| return 10; | |
| default: | |
| return BaseT::getCFInstrCost(Opcode, CostKind); | |
| } | |
| } | |
| int R600TTIImpl::getVectorInstrCost(unsigned Opcode, Type *ValTy, | |
| unsigned Index) { | |
| switch (Opcode) { | |
| case Instruction::ExtractElement: | |
| case Instruction::InsertElement: { | |
| unsigned EltSize | |
| = DL.getTypeSizeInBits(cast<VectorType>(ValTy)->getElementType()); | |
| if (EltSize < 32) { | |
| return BaseT::getVectorInstrCost(Opcode, ValTy, Index); | |
| } | |
| // Extracts are just reads of a subregister, so are free. Inserts are | |
| // considered free because we don't want to have any cost for scalarizing | |
| // operations, and we don't have to copy into a different register class. | |
| // Dynamic indexing isn't free and is best avoided. | |
| return Index == ~0u ? 2 : 0; | |
| } | |
| default: | |
| return BaseT::getVectorInstrCost(Opcode, ValTy, Index); | |
| } | |
| } | |
| void R600TTIImpl::getUnrollingPreferences(Loop *L, ScalarEvolution &SE, | |
| TTI::UnrollingPreferences &UP) { | |
| CommonTTI.getUnrollingPreferences(L, SE, UP); | |
| } | |
| void R600TTIImpl::getPeelingPreferences(Loop *L, ScalarEvolution &SE, | |
| TTI::PeelingPreferences &PP) { | |
| CommonTTI.getPeelingPreferences(L, SE, PP); | |
| } |