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      1 //===- TargetTransformInfo.h ------------------------------------*- C++ -*-===//
      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 /// \file
      9 /// This pass exposes codegen information to IR-level passes. Every
     10 /// transformation that uses codegen information is broken into three parts:
     11 /// 1. The IR-level analysis pass.
     12 /// 2. The IR-level transformation interface which provides the needed
     13 ///    information.
     14 /// 3. Codegen-level implementation which uses target-specific hooks.
     15 ///
     16 /// This file defines #2, which is the interface that IR-level transformations
     17 /// use for querying the codegen.
     18 ///
     19 //===----------------------------------------------------------------------===//
     20 
     21 #ifndef LLVM_ANALYSIS_TARGETTRANSFORMINFO_H
     22 #define LLVM_ANALYSIS_TARGETTRANSFORMINFO_H
     23 
     24 #include "llvm/Analysis/IVDescriptors.h"
     25 #include "llvm/IR/InstrTypes.h"
     26 #include "llvm/IR/Operator.h"
     27 #include "llvm/IR/PassManager.h"
     28 #include "llvm/Pass.h"
     29 #include "llvm/Support/AtomicOrdering.h"
     30 #include "llvm/Support/BranchProbability.h"
     31 #include "llvm/Support/DataTypes.h"
     32 #include "llvm/Support/InstructionCost.h"
     33 #include <functional>
     34 
     35 namespace llvm {
     36 
     37 namespace Intrinsic {
     38 typedef unsigned ID;
     39 }
     40 
     41 class AssumptionCache;
     42 class BlockFrequencyInfo;
     43 class DominatorTree;
     44 class BranchInst;
     45 class CallBase;
     46 class ExtractElementInst;
     47 class Function;
     48 class GlobalValue;
     49 class InstCombiner;
     50 class IntrinsicInst;
     51 class LoadInst;
     52 class LoopAccessInfo;
     53 class Loop;
     54 class LoopInfo;
     55 class ProfileSummaryInfo;
     56 class SCEV;
     57 class ScalarEvolution;
     58 class StoreInst;
     59 class SwitchInst;
     60 class TargetLibraryInfo;
     61 class Type;
     62 class User;
     63 class Value;
     64 class VPIntrinsic;
     65 struct KnownBits;
     66 template <typename T> class Optional;
     67 
     68 /// Information about a load/store intrinsic defined by the target.
     69 struct MemIntrinsicInfo {
     70   /// This is the pointer that the intrinsic is loading from or storing to.
     71   /// If this is non-null, then analysis/optimization passes can assume that
     72   /// this intrinsic is functionally equivalent to a load/store from this
     73   /// pointer.
     74   Value *PtrVal = nullptr;
     75 
     76   // Ordering for atomic operations.
     77   AtomicOrdering Ordering = AtomicOrdering::NotAtomic;
     78 
     79   // Same Id is set by the target for corresponding load/store intrinsics.
     80   unsigned short MatchingId = 0;
     81 
     82   bool ReadMem = false;
     83   bool WriteMem = false;
     84   bool IsVolatile = false;
     85 
     86   bool isUnordered() const {
     87     return (Ordering == AtomicOrdering::NotAtomic ||
     88             Ordering == AtomicOrdering::Unordered) &&
     89            !IsVolatile;
     90   }
     91 };
     92 
     93 /// Attributes of a target dependent hardware loop.
     94 struct HardwareLoopInfo {
     95   HardwareLoopInfo() = delete;
     96   HardwareLoopInfo(Loop *L) : L(L) {}
     97   Loop *L = nullptr;
     98   BasicBlock *ExitBlock = nullptr;
     99   BranchInst *ExitBranch = nullptr;
    100   const SCEV *TripCount = nullptr;
    101   IntegerType *CountType = nullptr;
    102   Value *LoopDecrement = nullptr; // Decrement the loop counter by this
    103                                   // value in every iteration.
    104   bool IsNestingLegal = false;    // Can a hardware loop be a parent to
    105                                   // another hardware loop?
    106   bool CounterInReg = false;      // Should loop counter be updated in
    107                                   // the loop via a phi?
    108   bool PerformEntryTest = false;  // Generate the intrinsic which also performs
    109                                   // icmp ne zero on the loop counter value and
    110                                   // produces an i1 to guard the loop entry.
    111   bool isHardwareLoopCandidate(ScalarEvolution &SE, LoopInfo &LI,
    112                                DominatorTree &DT, bool ForceNestedLoop = false,
    113                                bool ForceHardwareLoopPHI = false);
    114   bool canAnalyze(LoopInfo &LI);
    115 };
    116 
    117 class IntrinsicCostAttributes {
    118   const IntrinsicInst *II = nullptr;
    119   Type *RetTy = nullptr;
    120   Intrinsic::ID IID;
    121   SmallVector<Type *, 4> ParamTys;
    122   SmallVector<const Value *, 4> Arguments;
    123   FastMathFlags FMF;
    124   // If ScalarizationCost is UINT_MAX, the cost of scalarizing the
    125   // arguments and the return value will be computed based on types.
    126   InstructionCost ScalarizationCost = InstructionCost::getInvalid();
    127 
    128 public:
    129   IntrinsicCostAttributes(
    130       Intrinsic::ID Id, const CallBase &CI,
    131       InstructionCost ScalarCost = InstructionCost::getInvalid());
    132 
    133   IntrinsicCostAttributes(
    134       Intrinsic::ID Id, Type *RTy, ArrayRef<Type *> Tys,
    135       FastMathFlags Flags = FastMathFlags(), const IntrinsicInst *I = nullptr,
    136       InstructionCost ScalarCost = InstructionCost::getInvalid());
    137 
    138   IntrinsicCostAttributes(Intrinsic::ID Id, Type *RTy,
    139                           ArrayRef<const Value *> Args);
    140 
    141   IntrinsicCostAttributes(
    142       Intrinsic::ID Id, Type *RTy, ArrayRef<const Value *> Args,
    143       ArrayRef<Type *> Tys, FastMathFlags Flags = FastMathFlags(),
    144       const IntrinsicInst *I = nullptr,
    145       InstructionCost ScalarCost = InstructionCost::getInvalid());
    146 
    147   Intrinsic::ID getID() const { return IID; }
    148   const IntrinsicInst *getInst() const { return II; }
    149   Type *getReturnType() const { return RetTy; }
    150   FastMathFlags getFlags() const { return FMF; }
    151   InstructionCost getScalarizationCost() const { return ScalarizationCost; }
    152   const SmallVectorImpl<const Value *> &getArgs() const { return Arguments; }
    153   const SmallVectorImpl<Type *> &getArgTypes() const { return ParamTys; }
    154 
    155   bool isTypeBasedOnly() const {
    156     return Arguments.empty();
    157   }
    158 
    159   bool skipScalarizationCost() const { return ScalarizationCost.isValid(); }
    160 };
    161 
    162 class TargetTransformInfo;
    163 typedef TargetTransformInfo TTI;
    164 
    165 /// This pass provides access to the codegen interfaces that are needed
    166 /// for IR-level transformations.
    167 class TargetTransformInfo {
    168 public:
    169   /// Construct a TTI object using a type implementing the \c Concept
    170   /// API below.
    171   ///
    172   /// This is used by targets to construct a TTI wrapping their target-specific
    173   /// implementation that encodes appropriate costs for their target.
    174   template <typename T> TargetTransformInfo(T Impl);
    175 
    176   /// Construct a baseline TTI object using a minimal implementation of
    177   /// the \c Concept API below.
    178   ///
    179   /// The TTI implementation will reflect the information in the DataLayout
    180   /// provided if non-null.
    181   explicit TargetTransformInfo(const DataLayout &DL);
    182 
    183   // Provide move semantics.
    184   TargetTransformInfo(TargetTransformInfo &&Arg);
    185   TargetTransformInfo &operator=(TargetTransformInfo &&RHS);
    186 
    187   // We need to define the destructor out-of-line to define our sub-classes
    188   // out-of-line.
    189   ~TargetTransformInfo();
    190 
    191   /// Handle the invalidation of this information.
    192   ///
    193   /// When used as a result of \c TargetIRAnalysis this method will be called
    194   /// when the function this was computed for changes. When it returns false,
    195   /// the information is preserved across those changes.
    196   bool invalidate(Function &, const PreservedAnalyses &,
    197                   FunctionAnalysisManager::Invalidator &) {
    198     // FIXME: We should probably in some way ensure that the subtarget
    199     // information for a function hasn't changed.
    200     return false;
    201   }
    202 
    203   /// \name Generic Target Information
    204   /// @{
    205 
    206   /// The kind of cost model.
    207   ///
    208   /// There are several different cost models that can be customized by the
    209   /// target. The normalization of each cost model may be target specific.
    210   enum TargetCostKind {
    211     TCK_RecipThroughput, ///< Reciprocal throughput.
    212     TCK_Latency,         ///< The latency of instruction.
    213     TCK_CodeSize,        ///< Instruction code size.
    214     TCK_SizeAndLatency   ///< The weighted sum of size and latency.
    215   };
    216 
    217   /// Query the cost of a specified instruction.
    218   ///
    219   /// Clients should use this interface to query the cost of an existing
    220   /// instruction. The instruction must have a valid parent (basic block).
    221   ///
    222   /// Note, this method does not cache the cost calculation and it
    223   /// can be expensive in some cases.
    224   InstructionCost getInstructionCost(const Instruction *I,
    225                                      enum TargetCostKind kind) const {
    226     InstructionCost Cost;
    227     switch (kind) {
    228     case TCK_RecipThroughput:
    229       Cost = getInstructionThroughput(I);
    230       break;
    231     case TCK_Latency:
    232       Cost = getInstructionLatency(I);
    233       break;
    234     case TCK_CodeSize:
    235     case TCK_SizeAndLatency:
    236       Cost = getUserCost(I, kind);
    237       break;
    238     }
    239     return Cost;
    240   }
    241 
    242   /// Underlying constants for 'cost' values in this interface.
    243   ///
    244   /// Many APIs in this interface return a cost. This enum defines the
    245   /// fundamental values that should be used to interpret (and produce) those
    246   /// costs. The costs are returned as an int rather than a member of this
    247   /// enumeration because it is expected that the cost of one IR instruction
    248   /// may have a multiplicative factor to it or otherwise won't fit directly
    249   /// into the enum. Moreover, it is common to sum or average costs which works
    250   /// better as simple integral values. Thus this enum only provides constants.
    251   /// Also note that the returned costs are signed integers to make it natural
    252   /// to add, subtract, and test with zero (a common boundary condition). It is
    253   /// not expected that 2^32 is a realistic cost to be modeling at any point.
    254   ///
    255   /// Note that these costs should usually reflect the intersection of code-size
    256   /// cost and execution cost. A free instruction is typically one that folds
    257   /// into another instruction. For example, reg-to-reg moves can often be
    258   /// skipped by renaming the registers in the CPU, but they still are encoded
    259   /// and thus wouldn't be considered 'free' here.
    260   enum TargetCostConstants {
    261     TCC_Free = 0,     ///< Expected to fold away in lowering.
    262     TCC_Basic = 1,    ///< The cost of a typical 'add' instruction.
    263     TCC_Expensive = 4 ///< The cost of a 'div' instruction on x86.
    264   };
    265 
    266   /// Estimate the cost of a GEP operation when lowered.
    267   InstructionCost
    268   getGEPCost(Type *PointeeType, const Value *Ptr,
    269              ArrayRef<const Value *> Operands,
    270              TargetCostKind CostKind = TCK_SizeAndLatency) const;
    271 
    272   /// \returns A value by which our inlining threshold should be multiplied.
    273   /// This is primarily used to bump up the inlining threshold wholesale on
    274   /// targets where calls are unusually expensive.
    275   ///
    276   /// TODO: This is a rather blunt instrument.  Perhaps altering the costs of
    277   /// individual classes of instructions would be better.
    278   unsigned getInliningThresholdMultiplier() const;
    279 
    280   /// \returns A value to be added to the inlining threshold.
    281   unsigned adjustInliningThreshold(const CallBase *CB) const;
    282 
    283   /// \returns Vector bonus in percent.
    284   ///
    285   /// Vector bonuses: We want to more aggressively inline vector-dense kernels
    286   /// and apply this bonus based on the percentage of vector instructions. A
    287   /// bonus is applied if the vector instructions exceed 50% and half that
    288   /// amount is applied if it exceeds 10%. Note that these bonuses are some what
    289   /// arbitrary and evolved over time by accident as much as because they are
    290   /// principled bonuses.
    291   /// FIXME: It would be nice to base the bonus values on something more
    292   /// scientific. A target may has no bonus on vector instructions.
    293   int getInlinerVectorBonusPercent() const;
    294 
    295   /// \return the expected cost of a memcpy, which could e.g. depend on the
    296   /// source/destination type and alignment and the number of bytes copied.
    297   InstructionCost getMemcpyCost(const Instruction *I) const;
    298 
    299   /// \return The estimated number of case clusters when lowering \p 'SI'.
    300   /// \p JTSize Set a jump table size only when \p SI is suitable for a jump
    301   /// table.
    302   unsigned getEstimatedNumberOfCaseClusters(const SwitchInst &SI,
    303                                             unsigned &JTSize,
    304                                             ProfileSummaryInfo *PSI,
    305                                             BlockFrequencyInfo *BFI) const;
    306 
    307   /// Estimate the cost of a given IR user when lowered.
    308   ///
    309   /// This can estimate the cost of either a ConstantExpr or Instruction when
    310   /// lowered.
    311   ///
    312   /// \p Operands is a list of operands which can be a result of transformations
    313   /// of the current operands. The number of the operands on the list must equal
    314   /// to the number of the current operands the IR user has. Their order on the
    315   /// list must be the same as the order of the current operands the IR user
    316   /// has.
    317   ///
    318   /// The returned cost is defined in terms of \c TargetCostConstants, see its
    319   /// comments for a detailed explanation of the cost values.
    320   InstructionCost getUserCost(const User *U, ArrayRef<const Value *> Operands,
    321                               TargetCostKind CostKind) const;
    322 
    323   /// This is a helper function which calls the two-argument getUserCost
    324   /// with \p Operands which are the current operands U has.
    325   InstructionCost getUserCost(const User *U, TargetCostKind CostKind) const {
    326     SmallVector<const Value *, 4> Operands(U->operand_values());
    327     return getUserCost(U, Operands, CostKind);
    328   }
    329 
    330   /// If a branch or a select condition is skewed in one direction by more than
    331   /// this factor, it is very likely to be predicted correctly.
    332   BranchProbability getPredictableBranchThreshold() const;
    333 
    334   /// Return true if branch divergence exists.
    335   ///
    336   /// Branch divergence has a significantly negative impact on GPU performance
    337   /// when threads in the same wavefront take different paths due to conditional
    338   /// branches.
    339   bool hasBranchDivergence() const;
    340 
    341   /// Return true if the target prefers to use GPU divergence analysis to
    342   /// replace the legacy version.
    343   bool useGPUDivergenceAnalysis() const;
    344 
    345   /// Returns whether V is a source of divergence.
    346   ///
    347   /// This function provides the target-dependent information for
    348   /// the target-independent LegacyDivergenceAnalysis. LegacyDivergenceAnalysis
    349   /// first builds the dependency graph, and then runs the reachability
    350   /// algorithm starting with the sources of divergence.
    351   bool isSourceOfDivergence(const Value *V) const;
    352 
    353   // Returns true for the target specific
    354   // set of operations which produce uniform result
    355   // even taking non-uniform arguments
    356   bool isAlwaysUniform(const Value *V) const;
    357 
    358   /// Returns the address space ID for a target's 'flat' address space. Note
    359   /// this is not necessarily the same as addrspace(0), which LLVM sometimes
    360   /// refers to as the generic address space. The flat address space is a
    361   /// generic address space that can be used access multiple segments of memory
    362   /// with different address spaces. Access of a memory location through a
    363   /// pointer with this address space is expected to be legal but slower
    364   /// compared to the same memory location accessed through a pointer with a
    365   /// different address space.
    366   //
    367   /// This is for targets with different pointer representations which can
    368   /// be converted with the addrspacecast instruction. If a pointer is converted
    369   /// to this address space, optimizations should attempt to replace the access
    370   /// with the source address space.
    371   ///
    372   /// \returns ~0u if the target does not have such a flat address space to
    373   /// optimize away.
    374   unsigned getFlatAddressSpace() const;
    375 
    376   /// Return any intrinsic address operand indexes which may be rewritten if
    377   /// they use a flat address space pointer.
    378   ///
    379   /// \returns true if the intrinsic was handled.
    380   bool collectFlatAddressOperands(SmallVectorImpl<int> &OpIndexes,
    381                                   Intrinsic::ID IID) const;
    382 
    383   bool isNoopAddrSpaceCast(unsigned FromAS, unsigned ToAS) const;
    384 
    385   unsigned getAssumedAddrSpace(const Value *V) const;
    386 
    387   /// Rewrite intrinsic call \p II such that \p OldV will be replaced with \p
    388   /// NewV, which has a different address space. This should happen for every
    389   /// operand index that collectFlatAddressOperands returned for the intrinsic.
    390   /// \returns nullptr if the intrinsic was not handled. Otherwise, returns the
    391   /// new value (which may be the original \p II with modified operands).
    392   Value *rewriteIntrinsicWithAddressSpace(IntrinsicInst *II, Value *OldV,
    393                                           Value *NewV) const;
    394 
    395   /// Test whether calls to a function lower to actual program function
    396   /// calls.
    397   ///
    398   /// The idea is to test whether the program is likely to require a 'call'
    399   /// instruction or equivalent in order to call the given function.
    400   ///
    401   /// FIXME: It's not clear that this is a good or useful query API. Client's
    402   /// should probably move to simpler cost metrics using the above.
    403   /// Alternatively, we could split the cost interface into distinct code-size
    404   /// and execution-speed costs. This would allow modelling the core of this
    405   /// query more accurately as a call is a single small instruction, but
    406   /// incurs significant execution cost.
    407   bool isLoweredToCall(const Function *F) const;
    408 
    409   struct LSRCost {
    410     /// TODO: Some of these could be merged. Also, a lexical ordering
    411     /// isn't always optimal.
    412     unsigned Insns;
    413     unsigned NumRegs;
    414     unsigned AddRecCost;
    415     unsigned NumIVMuls;
    416     unsigned NumBaseAdds;
    417     unsigned ImmCost;
    418     unsigned SetupCost;
    419     unsigned ScaleCost;
    420   };
    421 
    422   /// Parameters that control the generic loop unrolling transformation.
    423   struct UnrollingPreferences {
    424     /// The cost threshold for the unrolled loop. Should be relative to the
    425     /// getUserCost values returned by this API, and the expectation is that
    426     /// the unrolled loop's instructions when run through that interface should
    427     /// not exceed this cost. However, this is only an estimate. Also, specific
    428     /// loops may be unrolled even with a cost above this threshold if deemed
    429     /// profitable. Set this to UINT_MAX to disable the loop body cost
    430     /// restriction.
    431     unsigned Threshold;
    432     /// If complete unrolling will reduce the cost of the loop, we will boost
    433     /// the Threshold by a certain percent to allow more aggressive complete
    434     /// unrolling. This value provides the maximum boost percentage that we
    435     /// can apply to Threshold (The value should be no less than 100).
    436     /// BoostedThreshold = Threshold * min(RolledCost / UnrolledCost,
    437     ///                                    MaxPercentThresholdBoost / 100)
    438     /// E.g. if complete unrolling reduces the loop execution time by 50%
    439     /// then we boost the threshold by the factor of 2x. If unrolling is not
    440     /// expected to reduce the running time, then we do not increase the
    441     /// threshold.
    442     unsigned MaxPercentThresholdBoost;
    443     /// The cost threshold for the unrolled loop when optimizing for size (set
    444     /// to UINT_MAX to disable).
    445     unsigned OptSizeThreshold;
    446     /// The cost threshold for the unrolled loop, like Threshold, but used
    447     /// for partial/runtime unrolling (set to UINT_MAX to disable).
    448     unsigned PartialThreshold;
    449     /// The cost threshold for the unrolled loop when optimizing for size, like
    450     /// OptSizeThreshold, but used for partial/runtime unrolling (set to
    451     /// UINT_MAX to disable).
    452     unsigned PartialOptSizeThreshold;
    453     /// A forced unrolling factor (the number of concatenated bodies of the
    454     /// original loop in the unrolled loop body). When set to 0, the unrolling
    455     /// transformation will select an unrolling factor based on the current cost
    456     /// threshold and other factors.
    457     unsigned Count;
    458     /// Default unroll count for loops with run-time trip count.
    459     unsigned DefaultUnrollRuntimeCount;
    460     // Set the maximum unrolling factor. The unrolling factor may be selected
    461     // using the appropriate cost threshold, but may not exceed this number
    462     // (set to UINT_MAX to disable). This does not apply in cases where the
    463     // loop is being fully unrolled.
    464     unsigned MaxCount;
    465     /// Set the maximum unrolling factor for full unrolling. Like MaxCount, but
    466     /// applies even if full unrolling is selected. This allows a target to fall
    467     /// back to Partial unrolling if full unrolling is above FullUnrollMaxCount.
    468     unsigned FullUnrollMaxCount;
    469     // Represents number of instructions optimized when "back edge"
    470     // becomes "fall through" in unrolled loop.
    471     // For now we count a conditional branch on a backedge and a comparison
    472     // feeding it.
    473     unsigned BEInsns;
    474     /// Allow partial unrolling (unrolling of loops to expand the size of the
    475     /// loop body, not only to eliminate small constant-trip-count loops).
    476     bool Partial;
    477     /// Allow runtime unrolling (unrolling of loops to expand the size of the
    478     /// loop body even when the number of loop iterations is not known at
    479     /// compile time).
    480     bool Runtime;
    481     /// Allow generation of a loop remainder (extra iterations after unroll).
    482     bool AllowRemainder;
    483     /// Allow emitting expensive instructions (such as divisions) when computing
    484     /// the trip count of a loop for runtime unrolling.
    485     bool AllowExpensiveTripCount;
    486     /// Apply loop unroll on any kind of loop
    487     /// (mainly to loops that fail runtime unrolling).
    488     bool Force;
    489     /// Allow using trip count upper bound to unroll loops.
    490     bool UpperBound;
    491     /// Allow unrolling of all the iterations of the runtime loop remainder.
    492     bool UnrollRemainder;
    493     /// Allow unroll and jam. Used to enable unroll and jam for the target.
    494     bool UnrollAndJam;
    495     /// Threshold for unroll and jam, for inner loop size. The 'Threshold'
    496     /// value above is used during unroll and jam for the outer loop size.
    497     /// This value is used in the same manner to limit the size of the inner
    498     /// loop.
    499     unsigned UnrollAndJamInnerLoopThreshold;
    500     /// Don't allow loop unrolling to simulate more than this number of
    501     /// iterations when checking full unroll profitability
    502     unsigned MaxIterationsCountToAnalyze;
    503   };
    504 
    505   /// Get target-customized preferences for the generic loop unrolling
    506   /// transformation. The caller will initialize UP with the current
    507   /// target-independent defaults.
    508   void getUnrollingPreferences(Loop *L, ScalarEvolution &,
    509                                UnrollingPreferences &UP) const;
    510 
    511   /// Query the target whether it would be profitable to convert the given loop
    512   /// into a hardware loop.
    513   bool isHardwareLoopProfitable(Loop *L, ScalarEvolution &SE,
    514                                 AssumptionCache &AC, TargetLibraryInfo *LibInfo,
    515                                 HardwareLoopInfo &HWLoopInfo) const;
    516 
    517   /// Query the target whether it would be prefered to create a predicated
    518   /// vector loop, which can avoid the need to emit a scalar epilogue loop.
    519   bool preferPredicateOverEpilogue(Loop *L, LoopInfo *LI, ScalarEvolution &SE,
    520                                    AssumptionCache &AC, TargetLibraryInfo *TLI,
    521                                    DominatorTree *DT,
    522                                    const LoopAccessInfo *LAI) const;
    523 
    524   /// Query the target whether lowering of the llvm.get.active.lane.mask
    525   /// intrinsic is supported.
    526   bool emitGetActiveLaneMask() const;
    527 
    528   // Parameters that control the loop peeling transformation
    529   struct PeelingPreferences {
    530     /// A forced peeling factor (the number of bodied of the original loop
    531     /// that should be peeled off before the loop body). When set to 0, the
    532     /// a peeling factor based on profile information and other factors.
    533     unsigned PeelCount;
    534     /// Allow peeling off loop iterations.
    535     bool AllowPeeling;
    536     /// Allow peeling off loop iterations for loop nests.
    537     bool AllowLoopNestsPeeling;
    538     /// Allow peeling basing on profile. Uses to enable peeling off all
    539     /// iterations basing on provided profile.
    540     /// If the value is true the peeling cost model can decide to peel only
    541     /// some iterations and in this case it will set this to false.
    542     bool PeelProfiledIterations;
    543   };
    544 
    545   /// Get target-customized preferences for the generic loop peeling
    546   /// transformation. The caller will initialize \p PP with the current
    547   /// target-independent defaults with information from \p L and \p SE.
    548   void getPeelingPreferences(Loop *L, ScalarEvolution &SE,
    549                              PeelingPreferences &PP) const;
    550 
    551   /// Targets can implement their own combinations for target-specific
    552   /// intrinsics. This function will be called from the InstCombine pass every
    553   /// time a target-specific intrinsic is encountered.
    554   ///
    555   /// \returns None to not do anything target specific or a value that will be
    556   /// returned from the InstCombiner. It is possible to return null and stop
    557   /// further processing of the intrinsic by returning nullptr.
    558   Optional<Instruction *> instCombineIntrinsic(InstCombiner &IC,
    559                                                IntrinsicInst &II) const;
    560   /// Can be used to implement target-specific instruction combining.
    561   /// \see instCombineIntrinsic
    562   Optional<Value *>
    563   simplifyDemandedUseBitsIntrinsic(InstCombiner &IC, IntrinsicInst &II,
    564                                    APInt DemandedMask, KnownBits &Known,
    565                                    bool &KnownBitsComputed) const;
    566   /// Can be used to implement target-specific instruction combining.
    567   /// \see instCombineIntrinsic
    568   Optional<Value *> simplifyDemandedVectorEltsIntrinsic(
    569       InstCombiner &IC, IntrinsicInst &II, APInt DemandedElts, APInt &UndefElts,
    570       APInt &UndefElts2, APInt &UndefElts3,
    571       std::function<void(Instruction *, unsigned, APInt, APInt &)>
    572           SimplifyAndSetOp) const;
    573   /// @}
    574 
    575   /// \name Scalar Target Information
    576   /// @{
    577 
    578   /// Flags indicating the kind of support for population count.
    579   ///
    580   /// Compared to the SW implementation, HW support is supposed to
    581   /// significantly boost the performance when the population is dense, and it
    582   /// may or may not degrade performance if the population is sparse. A HW
    583   /// support is considered as "Fast" if it can outperform, or is on a par
    584   /// with, SW implementation when the population is sparse; otherwise, it is
    585   /// considered as "Slow".
    586   enum PopcntSupportKind { PSK_Software, PSK_SlowHardware, PSK_FastHardware };
    587 
    588   /// Return true if the specified immediate is legal add immediate, that
    589   /// is the target has add instructions which can add a register with the
    590   /// immediate without having to materialize the immediate into a register.
    591   bool isLegalAddImmediate(int64_t Imm) const;
    592 
    593   /// Return true if the specified immediate is legal icmp immediate,
    594   /// that is the target has icmp instructions which can compare a register
    595   /// against the immediate without having to materialize the immediate into a
    596   /// register.
    597   bool isLegalICmpImmediate(int64_t Imm) const;
    598 
    599   /// Return true if the addressing mode represented by AM is legal for
    600   /// this target, for a load/store of the specified type.
    601   /// The type may be VoidTy, in which case only return true if the addressing
    602   /// mode is legal for a load/store of any legal type.
    603   /// If target returns true in LSRWithInstrQueries(), I may be valid.
    604   /// TODO: Handle pre/postinc as well.
    605   bool isLegalAddressingMode(Type *Ty, GlobalValue *BaseGV, int64_t BaseOffset,
    606                              bool HasBaseReg, int64_t Scale,
    607                              unsigned AddrSpace = 0,
    608                              Instruction *I = nullptr) const;
    609 
    610   /// Return true if LSR cost of C1 is lower than C1.
    611   bool isLSRCostLess(TargetTransformInfo::LSRCost &C1,
    612                      TargetTransformInfo::LSRCost &C2) const;
    613 
    614   /// Return true if LSR major cost is number of registers. Targets which
    615   /// implement their own isLSRCostLess and unset number of registers as major
    616   /// cost should return false, otherwise return true.
    617   bool isNumRegsMajorCostOfLSR() const;
    618 
    619   /// \returns true if LSR should not optimize a chain that includes \p I.
    620   bool isProfitableLSRChainElement(Instruction *I) const;
    621 
    622   /// Return true if the target can fuse a compare and branch.
    623   /// Loop-strength-reduction (LSR) uses that knowledge to adjust its cost
    624   /// calculation for the instructions in a loop.
    625   bool canMacroFuseCmp() const;
    626 
    627   /// Return true if the target can save a compare for loop count, for example
    628   /// hardware loop saves a compare.
    629   bool canSaveCmp(Loop *L, BranchInst **BI, ScalarEvolution *SE, LoopInfo *LI,
    630                   DominatorTree *DT, AssumptionCache *AC,
    631                   TargetLibraryInfo *LibInfo) const;
    632 
    633   enum AddressingModeKind {
    634     AMK_PreIndexed,
    635     AMK_PostIndexed,
    636     AMK_None
    637   };
    638 
    639   /// Return the preferred addressing mode LSR should make efforts to generate.
    640   AddressingModeKind getPreferredAddressingMode(const Loop *L,
    641                                                 ScalarEvolution *SE) const;
    642 
    643   /// Return true if the target supports masked store.
    644   bool isLegalMaskedStore(Type *DataType, Align Alignment) const;
    645   /// Return true if the target supports masked load.
    646   bool isLegalMaskedLoad(Type *DataType, Align Alignment) const;
    647 
    648   /// Return true if the target supports nontemporal store.
    649   bool isLegalNTStore(Type *DataType, Align Alignment) const;
    650   /// Return true if the target supports nontemporal load.
    651   bool isLegalNTLoad(Type *DataType, Align Alignment) const;
    652 
    653   /// Return true if the target supports masked scatter.
    654   bool isLegalMaskedScatter(Type *DataType, Align Alignment) const;
    655   /// Return true if the target supports masked gather.
    656   bool isLegalMaskedGather(Type *DataType, Align Alignment) const;
    657 
    658   /// Return true if the target supports masked compress store.
    659   bool isLegalMaskedCompressStore(Type *DataType) const;
    660   /// Return true if the target supports masked expand load.
    661   bool isLegalMaskedExpandLoad(Type *DataType) const;
    662 
    663   /// Return true if the target has a unified operation to calculate division
    664   /// and remainder. If so, the additional implicit multiplication and
    665   /// subtraction required to calculate a remainder from division are free. This
    666   /// can enable more aggressive transformations for division and remainder than
    667   /// would typically be allowed using throughput or size cost models.
    668   bool hasDivRemOp(Type *DataType, bool IsSigned) const;
    669 
    670   /// Return true if the given instruction (assumed to be a memory access
    671   /// instruction) has a volatile variant. If that's the case then we can avoid
    672   /// addrspacecast to generic AS for volatile loads/stores. Default
    673   /// implementation returns false, which prevents address space inference for
    674   /// volatile loads/stores.
    675   bool hasVolatileVariant(Instruction *I, unsigned AddrSpace) const;
    676 
    677   /// Return true if target doesn't mind addresses in vectors.
    678   bool prefersVectorizedAddressing() const;
    679 
    680   /// Return the cost of the scaling factor used in the addressing
    681   /// mode represented by AM for this target, for a load/store
    682   /// of the specified type.
    683   /// If the AM is supported, the return value must be >= 0.
    684   /// If the AM is not supported, it returns a negative value.
    685   /// TODO: Handle pre/postinc as well.
    686   InstructionCost getScalingFactorCost(Type *Ty, GlobalValue *BaseGV,
    687                                        int64_t BaseOffset, bool HasBaseReg,
    688                                        int64_t Scale,
    689                                        unsigned AddrSpace = 0) const;
    690 
    691   /// Return true if the loop strength reduce pass should make
    692   /// Instruction* based TTI queries to isLegalAddressingMode(). This is
    693   /// needed on SystemZ, where e.g. a memcpy can only have a 12 bit unsigned
    694   /// immediate offset and no index register.
    695   bool LSRWithInstrQueries() const;
    696 
    697   /// Return true if it's free to truncate a value of type Ty1 to type
    698   /// Ty2. e.g. On x86 it's free to truncate a i32 value in register EAX to i16
    699   /// by referencing its sub-register AX.
    700   bool isTruncateFree(Type *Ty1, Type *Ty2) const;
    701 
    702   /// Return true if it is profitable to hoist instruction in the
    703   /// then/else to before if.
    704   bool isProfitableToHoist(Instruction *I) const;
    705 
    706   bool useAA() const;
    707 
    708   /// Return true if this type is legal.
    709   bool isTypeLegal(Type *Ty) const;
    710 
    711   /// Returns the estimated number of registers required to represent \p Ty.
    712   InstructionCost getRegUsageForType(Type *Ty) const;
    713 
    714   /// Return true if switches should be turned into lookup tables for the
    715   /// target.
    716   bool shouldBuildLookupTables() const;
    717 
    718   /// Return true if switches should be turned into lookup tables
    719   /// containing this constant value for the target.
    720   bool shouldBuildLookupTablesForConstant(Constant *C) const;
    721 
    722   /// Return true if lookup tables should be turned into relative lookup tables.
    723   bool shouldBuildRelLookupTables() const;
    724 
    725   /// Return true if the input function which is cold at all call sites,
    726   ///  should use coldcc calling convention.
    727   bool useColdCCForColdCall(Function &F) const;
    728 
    729   /// Estimate the overhead of scalarizing an instruction. Insert and Extract
    730   /// are set if the demanded result elements need to be inserted and/or
    731   /// extracted from vectors.
    732   InstructionCost getScalarizationOverhead(VectorType *Ty,
    733                                            const APInt &DemandedElts,
    734                                            bool Insert, bool Extract) const;
    735 
    736   /// Estimate the overhead of scalarizing an instructions unique
    737   /// non-constant operands. The (potentially vector) types to use for each of
    738   /// argument are passes via Tys.
    739   InstructionCost getOperandsScalarizationOverhead(ArrayRef<const Value *> Args,
    740                                                    ArrayRef<Type *> Tys) const;
    741 
    742   /// If target has efficient vector element load/store instructions, it can
    743   /// return true here so that insertion/extraction costs are not added to
    744   /// the scalarization cost of a load/store.
    745   bool supportsEfficientVectorElementLoadStore() const;
    746 
    747   /// Don't restrict interleaved unrolling to small loops.
    748   bool enableAggressiveInterleaving(bool LoopHasReductions) const;
    749 
    750   /// Returns options for expansion of memcmp. IsZeroCmp is
    751   // true if this is the expansion of memcmp(p1, p2, s) == 0.
    752   struct MemCmpExpansionOptions {
    753     // Return true if memcmp expansion is enabled.
    754     operator bool() const { return MaxNumLoads > 0; }
    755 
    756     // Maximum number of load operations.
    757     unsigned MaxNumLoads = 0;
    758 
    759     // The list of available load sizes (in bytes), sorted in decreasing order.
    760     SmallVector<unsigned, 8> LoadSizes;
    761 
    762     // For memcmp expansion when the memcmp result is only compared equal or
    763     // not-equal to 0, allow up to this number of load pairs per block. As an
    764     // example, this may allow 'memcmp(a, b, 3) == 0' in a single block:
    765     //   a0 = load2bytes &a[0]
    766     //   b0 = load2bytes &b[0]
    767     //   a2 = load1byte  &a[2]
    768     //   b2 = load1byte  &b[2]
    769     //   r  = cmp eq (a0 ^ b0 | a2 ^ b2), 0
    770     unsigned NumLoadsPerBlock = 1;
    771 
    772     // Set to true to allow overlapping loads. For example, 7-byte compares can
    773     // be done with two 4-byte compares instead of 4+2+1-byte compares. This
    774     // requires all loads in LoadSizes to be doable in an unaligned way.
    775     bool AllowOverlappingLoads = false;
    776   };
    777   MemCmpExpansionOptions enableMemCmpExpansion(bool OptSize,
    778                                                bool IsZeroCmp) const;
    779 
    780   /// Enable matching of interleaved access groups.
    781   bool enableInterleavedAccessVectorization() const;
    782 
    783   /// Enable matching of interleaved access groups that contain predicated
    784   /// accesses or gaps and therefore vectorized using masked
    785   /// vector loads/stores.
    786   bool enableMaskedInterleavedAccessVectorization() const;
    787 
    788   /// Indicate that it is potentially unsafe to automatically vectorize
    789   /// floating-point operations because the semantics of vector and scalar
    790   /// floating-point semantics may differ. For example, ARM NEON v7 SIMD math
    791   /// does not support IEEE-754 denormal numbers, while depending on the
    792   /// platform, scalar floating-point math does.
    793   /// This applies to floating-point math operations and calls, not memory
    794   /// operations, shuffles, or casts.
    795   bool isFPVectorizationPotentiallyUnsafe() const;
    796 
    797   /// Determine if the target supports unaligned memory accesses.
    798   bool allowsMisalignedMemoryAccesses(LLVMContext &Context, unsigned BitWidth,
    799                                       unsigned AddressSpace = 0,
    800                                       Align Alignment = Align(1),
    801                                       bool *Fast = nullptr) const;
    802 
    803   /// Return hardware support for population count.
    804   PopcntSupportKind getPopcntSupport(unsigned IntTyWidthInBit) const;
    805 
    806   /// Return true if the hardware has a fast square-root instruction.
    807   bool haveFastSqrt(Type *Ty) const;
    808 
    809   /// Return true if it is faster to check if a floating-point value is NaN
    810   /// (or not-NaN) versus a comparison against a constant FP zero value.
    811   /// Targets should override this if materializing a 0.0 for comparison is
    812   /// generally as cheap as checking for ordered/unordered.
    813   bool isFCmpOrdCheaperThanFCmpZero(Type *Ty) const;
    814 
    815   /// Return the expected cost of supporting the floating point operation
    816   /// of the specified type.
    817   InstructionCost getFPOpCost(Type *Ty) const;
    818 
    819   /// Return the expected cost of materializing for the given integer
    820   /// immediate of the specified type.
    821   InstructionCost getIntImmCost(const APInt &Imm, Type *Ty,
    822                                 TargetCostKind CostKind) const;
    823 
    824   /// Return the expected cost of materialization for the given integer
    825   /// immediate of the specified type for a given instruction. The cost can be
    826   /// zero if the immediate can be folded into the specified instruction.
    827   InstructionCost getIntImmCostInst(unsigned Opc, unsigned Idx,
    828                                     const APInt &Imm, Type *Ty,
    829                                     TargetCostKind CostKind,
    830                                     Instruction *Inst = nullptr) const;
    831   InstructionCost getIntImmCostIntrin(Intrinsic::ID IID, unsigned Idx,
    832                                       const APInt &Imm, Type *Ty,
    833                                       TargetCostKind CostKind) const;
    834 
    835   /// Return the expected cost for the given integer when optimising
    836   /// for size. This is different than the other integer immediate cost
    837   /// functions in that it is subtarget agnostic. This is useful when you e.g.
    838   /// target one ISA such as Aarch32 but smaller encodings could be possible
    839   /// with another such as Thumb. This return value is used as a penalty when
    840   /// the total costs for a constant is calculated (the bigger the cost, the
    841   /// more beneficial constant hoisting is).
    842   int getIntImmCodeSizeCost(unsigned Opc, unsigned Idx, const APInt &Imm,
    843                             Type *Ty) const;
    844   /// @}
    845 
    846   /// \name Vector Target Information
    847   /// @{
    848 
    849   /// The various kinds of shuffle patterns for vector queries.
    850   enum ShuffleKind {
    851     SK_Broadcast,        ///< Broadcast element 0 to all other elements.
    852     SK_Reverse,          ///< Reverse the order of the vector.
    853     SK_Select,           ///< Selects elements from the corresponding lane of
    854                          ///< either source operand. This is equivalent to a
    855                          ///< vector select with a constant condition operand.
    856     SK_Transpose,        ///< Transpose two vectors.
    857     SK_InsertSubvector,  ///< InsertSubvector. Index indicates start offset.
    858     SK_ExtractSubvector, ///< ExtractSubvector Index indicates start offset.
    859     SK_PermuteTwoSrc,    ///< Merge elements from two source vectors into one
    860                          ///< with any shuffle mask.
    861     SK_PermuteSingleSrc  ///< Shuffle elements of single source vector with any
    862                          ///< shuffle mask.
    863   };
    864 
    865   /// Kind of the reduction data.
    866   enum ReductionKind {
    867     RK_None,           /// Not a reduction.
    868     RK_Arithmetic,     /// Binary reduction data.
    869     RK_MinMax,         /// Min/max reduction data.
    870     RK_UnsignedMinMax, /// Unsigned min/max reduction data.
    871   };
    872 
    873   /// Contains opcode + LHS/RHS parts of the reduction operations.
    874   struct ReductionData {
    875     ReductionData() = delete;
    876     ReductionData(ReductionKind Kind, unsigned Opcode, Value *LHS, Value *RHS)
    877         : Opcode(Opcode), LHS(LHS), RHS(RHS), Kind(Kind) {
    878       assert(Kind != RK_None && "expected binary or min/max reduction only.");
    879     }
    880     unsigned Opcode = 0;
    881     Value *LHS = nullptr;
    882     Value *RHS = nullptr;
    883     ReductionKind Kind = RK_None;
    884     bool hasSameData(ReductionData &RD) const {
    885       return Kind == RD.Kind && Opcode == RD.Opcode;
    886     }
    887   };
    888 
    889   static ReductionKind matchPairwiseReduction(
    890     const ExtractElementInst *ReduxRoot, unsigned &Opcode, VectorType *&Ty);
    891 
    892   static ReductionKind matchVectorSplittingReduction(
    893     const ExtractElementInst *ReduxRoot, unsigned &Opcode, VectorType *&Ty);
    894 
    895   static ReductionKind matchVectorReduction(const ExtractElementInst *ReduxRoot,
    896                                             unsigned &Opcode, VectorType *&Ty,
    897                                             bool &IsPairwise);
    898 
    899   /// Additional information about an operand's possible values.
    900   enum OperandValueKind {
    901     OK_AnyValue,               // Operand can have any value.
    902     OK_UniformValue,           // Operand is uniform (splat of a value).
    903     OK_UniformConstantValue,   // Operand is uniform constant.
    904     OK_NonUniformConstantValue // Operand is a non uniform constant value.
    905   };
    906 
    907   /// Additional properties of an operand's values.
    908   enum OperandValueProperties { OP_None = 0, OP_PowerOf2 = 1 };
    909 
    910   /// \return the number of registers in the target-provided register class.
    911   unsigned getNumberOfRegisters(unsigned ClassID) const;
    912 
    913   /// \return the target-provided register class ID for the provided type,
    914   /// accounting for type promotion and other type-legalization techniques that
    915   /// the target might apply. However, it specifically does not account for the
    916   /// scalarization or splitting of vector types. Should a vector type require
    917   /// scalarization or splitting into multiple underlying vector registers, that
    918   /// type should be mapped to a register class containing no registers.
    919   /// Specifically, this is designed to provide a simple, high-level view of the
    920   /// register allocation later performed by the backend. These register classes
    921   /// don't necessarily map onto the register classes used by the backend.
    922   /// FIXME: It's not currently possible to determine how many registers
    923   /// are used by the provided type.
    924   unsigned getRegisterClassForType(bool Vector, Type *Ty = nullptr) const;
    925 
    926   /// \return the target-provided register class name
    927   const char *getRegisterClassName(unsigned ClassID) const;
    928 
    929   enum RegisterKind { RGK_Scalar, RGK_FixedWidthVector, RGK_ScalableVector };
    930 
    931   /// \return The width of the largest scalar or vector register type.
    932   TypeSize getRegisterBitWidth(RegisterKind K) const;
    933 
    934   /// \return The width of the smallest vector register type.
    935   unsigned getMinVectorRegisterBitWidth() const;
    936 
    937   /// \return The maximum value of vscale if the target specifies an
    938   ///  architectural maximum vector length, and None otherwise.
    939   Optional<unsigned> getMaxVScale() const;
    940 
    941   /// \return True if the vectorization factor should be chosen to
    942   /// make the vector of the smallest element type match the size of a
    943   /// vector register. For wider element types, this could result in
    944   /// creating vectors that span multiple vector registers.
    945   /// If false, the vectorization factor will be chosen based on the
    946   /// size of the widest element type.
    947   bool shouldMaximizeVectorBandwidth() const;
    948 
    949   /// \return The minimum vectorization factor for types of given element
    950   /// bit width, or 0 if there is no minimum VF. The returned value only
    951   /// applies when shouldMaximizeVectorBandwidth returns true.
    952   /// If IsScalable is true, the returned ElementCount must be a scalable VF.
    953   ElementCount getMinimumVF(unsigned ElemWidth, bool IsScalable) const;
    954 
    955   /// \return The maximum vectorization factor for types of given element
    956   /// bit width and opcode, or 0 if there is no maximum VF.
    957   /// Currently only used by the SLP vectorizer.
    958   unsigned getMaximumVF(unsigned ElemWidth, unsigned Opcode) const;
    959 
    960   /// \return True if it should be considered for address type promotion.
    961   /// \p AllowPromotionWithoutCommonHeader Set true if promoting \p I is
    962   /// profitable without finding other extensions fed by the same input.
    963   bool shouldConsiderAddressTypePromotion(
    964       const Instruction &I, bool &AllowPromotionWithoutCommonHeader) const;
    965 
    966   /// \return The size of a cache line in bytes.
    967   unsigned getCacheLineSize() const;
    968 
    969   /// The possible cache levels
    970   enum class CacheLevel {
    971     L1D, // The L1 data cache
    972     L2D, // The L2 data cache
    973 
    974     // We currently do not model L3 caches, as their sizes differ widely between
    975     // microarchitectures. Also, we currently do not have a use for L3 cache
    976     // size modeling yet.
    977   };
    978 
    979   /// \return The size of the cache level in bytes, if available.
    980   Optional<unsigned> getCacheSize(CacheLevel Level) const;
    981 
    982   /// \return The associativity of the cache level, if available.
    983   Optional<unsigned> getCacheAssociativity(CacheLevel Level) const;
    984 
    985   /// \return How much before a load we should place the prefetch
    986   /// instruction.  This is currently measured in number of
    987   /// instructions.
    988   unsigned getPrefetchDistance() const;
    989 
    990   /// Some HW prefetchers can handle accesses up to a certain constant stride.
    991   /// Sometimes prefetching is beneficial even below the HW prefetcher limit,
    992   /// and the arguments provided are meant to serve as a basis for deciding this
    993   /// for a particular loop.
    994   ///
    995   /// \param NumMemAccesses        Number of memory accesses in the loop.
    996   /// \param NumStridedMemAccesses Number of the memory accesses that
    997   ///                              ScalarEvolution could find a known stride
    998   ///                              for.
    999   /// \param NumPrefetches         Number of software prefetches that will be
   1000   ///                              emitted as determined by the addresses
   1001   ///                              involved and the cache line size.
   1002   /// \param HasCall               True if the loop contains a call.
   1003   ///
   1004   /// \return This is the minimum stride in bytes where it makes sense to start
   1005   ///         adding SW prefetches. The default is 1, i.e. prefetch with any
   1006   ///         stride.
   1007   unsigned getMinPrefetchStride(unsigned NumMemAccesses,
   1008                                 unsigned NumStridedMemAccesses,
   1009                                 unsigned NumPrefetches, bool HasCall) const;
   1010 
   1011   /// \return The maximum number of iterations to prefetch ahead.  If
   1012   /// the required number of iterations is more than this number, no
   1013   /// prefetching is performed.
   1014   unsigned getMaxPrefetchIterationsAhead() const;
   1015 
   1016   /// \return True if prefetching should also be done for writes.
   1017   bool enableWritePrefetching() const;
   1018 
   1019   /// \return The maximum interleave factor that any transform should try to
   1020   /// perform for this target. This number depends on the level of parallelism
   1021   /// and the number of execution units in the CPU.
   1022   unsigned getMaxInterleaveFactor(unsigned VF) const;
   1023 
   1024   /// Collect properties of V used in cost analysis, e.g. OP_PowerOf2.
   1025   static OperandValueKind getOperandInfo(const Value *V,
   1026                                          OperandValueProperties &OpProps);
   1027 
   1028   /// This is an approximation of reciprocal throughput of a math/logic op.
   1029   /// A higher cost indicates less expected throughput.
   1030   /// From Agner Fog's guides, reciprocal throughput is "the average number of
   1031   /// clock cycles per instruction when the instructions are not part of a
   1032   /// limiting dependency chain."
   1033   /// Therefore, costs should be scaled to account for multiple execution units
   1034   /// on the target that can process this type of instruction. For example, if
   1035   /// there are 5 scalar integer units and 2 vector integer units that can
   1036   /// calculate an 'add' in a single cycle, this model should indicate that the
   1037   /// cost of the vector add instruction is 2.5 times the cost of the scalar
   1038   /// add instruction.
   1039   /// \p Args is an optional argument which holds the instruction operands
   1040   /// values so the TTI can analyze those values searching for special
   1041   /// cases or optimizations based on those values.
   1042   /// \p CxtI is the optional original context instruction, if one exists, to
   1043   /// provide even more information.
   1044   InstructionCost getArithmeticInstrCost(
   1045       unsigned Opcode, Type *Ty,
   1046       TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput,
   1047       OperandValueKind Opd1Info = OK_AnyValue,
   1048       OperandValueKind Opd2Info = OK_AnyValue,
   1049       OperandValueProperties Opd1PropInfo = OP_None,
   1050       OperandValueProperties Opd2PropInfo = OP_None,
   1051       ArrayRef<const Value *> Args = ArrayRef<const Value *>(),
   1052       const Instruction *CxtI = nullptr) const;
   1053 
   1054   /// \return The cost of a shuffle instruction of kind Kind and of type Tp.
   1055   /// The exact mask may be passed as Mask, or else the array will be empty.
   1056   /// The index and subtype parameters are used by the subvector insertion and
   1057   /// extraction shuffle kinds to show the insert/extract point and the type of
   1058   /// the subvector being inserted/extracted.
   1059   /// NOTE: For subvector extractions Tp represents the source type.
   1060   InstructionCost getShuffleCost(ShuffleKind Kind, VectorType *Tp,
   1061                                  ArrayRef<int> Mask = None, int Index = 0,
   1062                                  VectorType *SubTp = nullptr) const;
   1063 
   1064   /// Represents a hint about the context in which a cast is used.
   1065   ///
   1066   /// For zext/sext, the context of the cast is the operand, which must be a
   1067   /// load of some kind. For trunc, the context is of the cast is the single
   1068   /// user of the instruction, which must be a store of some kind.
   1069   ///
   1070   /// This enum allows the vectorizer to give getCastInstrCost an idea of the
   1071   /// type of cast it's dealing with, as not every cast is equal. For instance,
   1072   /// the zext of a load may be free, but the zext of an interleaving load can
   1073   //// be (very) expensive!
   1074   ///
   1075   /// See \c getCastContextHint to compute a CastContextHint from a cast
   1076   /// Instruction*. Callers can use it if they don't need to override the
   1077   /// context and just want it to be calculated from the instruction.
   1078   ///
   1079   /// FIXME: This handles the types of load/store that the vectorizer can
   1080   /// produce, which are the cases where the context instruction is most
   1081   /// likely to be incorrect. There are other situations where that can happen
   1082   /// too, which might be handled here but in the long run a more general
   1083   /// solution of costing multiple instructions at the same times may be better.
   1084   enum class CastContextHint : uint8_t {
   1085     None,          ///< The cast is not used with a load/store of any kind.
   1086     Normal,        ///< The cast is used with a normal load/store.
   1087     Masked,        ///< The cast is used with a masked load/store.
   1088     GatherScatter, ///< The cast is used with a gather/scatter.
   1089     Interleave,    ///< The cast is used with an interleaved load/store.
   1090     Reversed,      ///< The cast is used with a reversed load/store.
   1091   };
   1092 
   1093   /// Calculates a CastContextHint from \p I.
   1094   /// This should be used by callers of getCastInstrCost if they wish to
   1095   /// determine the context from some instruction.
   1096   /// \returns the CastContextHint for ZExt/SExt/Trunc, None if \p I is nullptr,
   1097   /// or if it's another type of cast.
   1098   static CastContextHint getCastContextHint(const Instruction *I);
   1099 
   1100   /// \return The expected cost of cast instructions, such as bitcast, trunc,
   1101   /// zext, etc. If there is an existing instruction that holds Opcode, it
   1102   /// may be passed in the 'I' parameter.
   1103   InstructionCost
   1104   getCastInstrCost(unsigned Opcode, Type *Dst, Type *Src,
   1105                    TTI::CastContextHint CCH,
   1106                    TTI::TargetCostKind CostKind = TTI::TCK_SizeAndLatency,
   1107                    const Instruction *I = nullptr) const;
   1108 
   1109   /// \return The expected cost of a sign- or zero-extended vector extract. Use
   1110   /// -1 to indicate that there is no information about the index value.
   1111   InstructionCost getExtractWithExtendCost(unsigned Opcode, Type *Dst,
   1112                                            VectorType *VecTy,
   1113                                            unsigned Index = -1) const;
   1114 
   1115   /// \return The expected cost of control-flow related instructions such as
   1116   /// Phi, Ret, Br, Switch.
   1117   InstructionCost
   1118   getCFInstrCost(unsigned Opcode,
   1119                  TTI::TargetCostKind CostKind = TTI::TCK_SizeAndLatency,
   1120                  const Instruction *I = nullptr) const;
   1121 
   1122   /// \returns The expected cost of compare and select instructions. If there
   1123   /// is an existing instruction that holds Opcode, it may be passed in the
   1124   /// 'I' parameter. The \p VecPred parameter can be used to indicate the select
   1125   /// is using a compare with the specified predicate as condition. When vector
   1126   /// types are passed, \p VecPred must be used for all lanes.
   1127   InstructionCost
   1128   getCmpSelInstrCost(unsigned Opcode, Type *ValTy, Type *CondTy = nullptr,
   1129                      CmpInst::Predicate VecPred = CmpInst::BAD_ICMP_PREDICATE,
   1130                      TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput,
   1131                      const Instruction *I = nullptr) const;
   1132 
   1133   /// \return The expected cost of vector Insert and Extract.
   1134   /// Use -1 to indicate that there is no information on the index value.
   1135   InstructionCost getVectorInstrCost(unsigned Opcode, Type *Val,
   1136                                      unsigned Index = -1) const;
   1137 
   1138   /// \return The cost of Load and Store instructions.
   1139   InstructionCost
   1140   getMemoryOpCost(unsigned Opcode, Type *Src, Align Alignment,
   1141                   unsigned AddressSpace,
   1142                   TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput,
   1143                   const Instruction *I = nullptr) const;
   1144 
   1145   /// \return The cost of masked Load and Store instructions.
   1146   InstructionCost getMaskedMemoryOpCost(
   1147       unsigned Opcode, Type *Src, Align Alignment, unsigned AddressSpace,
   1148       TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput) const;
   1149 
   1150   /// \return The cost of Gather or Scatter operation
   1151   /// \p Opcode - is a type of memory access Load or Store
   1152   /// \p DataTy - a vector type of the data to be loaded or stored
   1153   /// \p Ptr - pointer [or vector of pointers] - address[es] in memory
   1154   /// \p VariableMask - true when the memory access is predicated with a mask
   1155   ///                   that is not a compile-time constant
   1156   /// \p Alignment - alignment of single element
   1157   /// \p I - the optional original context instruction, if one exists, e.g. the
   1158   ///        load/store to transform or the call to the gather/scatter intrinsic
   1159   InstructionCost getGatherScatterOpCost(
   1160       unsigned Opcode, Type *DataTy, const Value *Ptr, bool VariableMask,
   1161       Align Alignment, TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput,
   1162       const Instruction *I = nullptr) const;
   1163 
   1164   /// \return The cost of the interleaved memory operation.
   1165   /// \p Opcode is the memory operation code
   1166   /// \p VecTy is the vector type of the interleaved access.
   1167   /// \p Factor is the interleave factor
   1168   /// \p Indices is the indices for interleaved load members (as interleaved
   1169   ///    load allows gaps)
   1170   /// \p Alignment is the alignment of the memory operation
   1171   /// \p AddressSpace is address space of the pointer.
   1172   /// \p UseMaskForCond indicates if the memory access is predicated.
   1173   /// \p UseMaskForGaps indicates if gaps should be masked.
   1174   InstructionCost getInterleavedMemoryOpCost(
   1175       unsigned Opcode, Type *VecTy, unsigned Factor, ArrayRef<unsigned> Indices,
   1176       Align Alignment, unsigned AddressSpace,
   1177       TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput,
   1178       bool UseMaskForCond = false, bool UseMaskForGaps = false) const;
   1179 
   1180   /// Calculate the cost of performing a vector reduction.
   1181   ///
   1182   /// This is the cost of reducing the vector value of type \p Ty to a scalar
   1183   /// value using the operation denoted by \p Opcode. The form of the reduction
   1184   /// can either be a pairwise reduction or a reduction that splits the vector
   1185   /// at every reduction level.
   1186   ///
   1187   /// Pairwise:
   1188   ///  (v0, v1, v2, v3)
   1189   ///  ((v0+v1), (v2+v3), undef, undef)
   1190   /// Split:
   1191   ///  (v0, v1, v2, v3)
   1192   ///  ((v0+v2), (v1+v3), undef, undef)
   1193   InstructionCost getArithmeticReductionCost(
   1194       unsigned Opcode, VectorType *Ty, bool IsPairwiseForm,
   1195       TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput) const;
   1196 
   1197   InstructionCost getMinMaxReductionCost(
   1198       VectorType *Ty, VectorType *CondTy, bool IsPairwiseForm, bool IsUnsigned,
   1199       TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput) const;
   1200 
   1201   /// Calculate the cost of an extended reduction pattern, similar to
   1202   /// getArithmeticReductionCost of an Add reduction with an extension and
   1203   /// optional multiply. This is the cost of as:
   1204   /// ResTy vecreduce.add(ext(Ty A)), or if IsMLA flag is set then:
   1205   /// ResTy vecreduce.add(mul(ext(Ty A), ext(Ty B)). The reduction happens
   1206   /// on a VectorType with ResTy elements and Ty lanes.
   1207   InstructionCost getExtendedAddReductionCost(
   1208       bool IsMLA, bool IsUnsigned, Type *ResTy, VectorType *Ty,
   1209       TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput) const;
   1210 
   1211   /// \returns The cost of Intrinsic instructions. Analyses the real arguments.
   1212   /// Three cases are handled: 1. scalar instruction 2. vector instruction
   1213   /// 3. scalar instruction which is to be vectorized.
   1214   InstructionCost getIntrinsicInstrCost(const IntrinsicCostAttributes &ICA,
   1215                                         TTI::TargetCostKind CostKind) const;
   1216 
   1217   /// \returns The cost of Call instructions.
   1218   InstructionCost getCallInstrCost(
   1219       Function *F, Type *RetTy, ArrayRef<Type *> Tys,
   1220       TTI::TargetCostKind CostKind = TTI::TCK_SizeAndLatency) const;
   1221 
   1222   /// \returns The number of pieces into which the provided type must be
   1223   /// split during legalization. Zero is returned when the answer is unknown.
   1224   unsigned getNumberOfParts(Type *Tp) const;
   1225 
   1226   /// \returns The cost of the address computation. For most targets this can be
   1227   /// merged into the instruction indexing mode. Some targets might want to
   1228   /// distinguish between address computation for memory operations on vector
   1229   /// types and scalar types. Such targets should override this function.
   1230   /// The 'SE' parameter holds pointer for the scalar evolution object which
   1231   /// is used in order to get the Ptr step value in case of constant stride.
   1232   /// The 'Ptr' parameter holds SCEV of the access pointer.
   1233   InstructionCost getAddressComputationCost(Type *Ty,
   1234                                             ScalarEvolution *SE = nullptr,
   1235                                             const SCEV *Ptr = nullptr) const;
   1236 
   1237   /// \returns The cost, if any, of keeping values of the given types alive
   1238   /// over a callsite.
   1239   ///
   1240   /// Some types may require the use of register classes that do not have
   1241   /// any callee-saved registers, so would require a spill and fill.
   1242   InstructionCost getCostOfKeepingLiveOverCall(ArrayRef<Type *> Tys) const;
   1243 
   1244   /// \returns True if the intrinsic is a supported memory intrinsic.  Info
   1245   /// will contain additional information - whether the intrinsic may write
   1246   /// or read to memory, volatility and the pointer.  Info is undefined
   1247   /// if false is returned.
   1248   bool getTgtMemIntrinsic(IntrinsicInst *Inst, MemIntrinsicInfo &Info) const;
   1249 
   1250   /// \returns The maximum element size, in bytes, for an element
   1251   /// unordered-atomic memory intrinsic.
   1252   unsigned getAtomicMemIntrinsicMaxElementSize() const;
   1253 
   1254   /// \returns A value which is the result of the given memory intrinsic.  New
   1255   /// instructions may be created to extract the result from the given intrinsic
   1256   /// memory operation.  Returns nullptr if the target cannot create a result
   1257   /// from the given intrinsic.
   1258   Value *getOrCreateResultFromMemIntrinsic(IntrinsicInst *Inst,
   1259                                            Type *ExpectedType) const;
   1260 
   1261   /// \returns The type to use in a loop expansion of a memcpy call.
   1262   Type *getMemcpyLoopLoweringType(LLVMContext &Context, Value *Length,
   1263                                   unsigned SrcAddrSpace, unsigned DestAddrSpace,
   1264                                   unsigned SrcAlign, unsigned DestAlign) const;
   1265 
   1266   /// \param[out] OpsOut The operand types to copy RemainingBytes of memory.
   1267   /// \param RemainingBytes The number of bytes to copy.
   1268   ///
   1269   /// Calculates the operand types to use when copying \p RemainingBytes of
   1270   /// memory, where source and destination alignments are \p SrcAlign and
   1271   /// \p DestAlign respectively.
   1272   void getMemcpyLoopResidualLoweringType(
   1273       SmallVectorImpl<Type *> &OpsOut, LLVMContext &Context,
   1274       unsigned RemainingBytes, unsigned SrcAddrSpace, unsigned DestAddrSpace,
   1275       unsigned SrcAlign, unsigned DestAlign) const;
   1276 
   1277   /// \returns True if the two functions have compatible attributes for inlining
   1278   /// purposes.
   1279   bool areInlineCompatible(const Function *Caller,
   1280                            const Function *Callee) const;
   1281 
   1282   /// \returns True if the caller and callee agree on how \p Args will be passed
   1283   /// to the callee.
   1284   /// \param[out] Args The list of compatible arguments.  The implementation may
   1285   /// filter out any incompatible args from this list.
   1286   bool areFunctionArgsABICompatible(const Function *Caller,
   1287                                     const Function *Callee,
   1288                                     SmallPtrSetImpl<Argument *> &Args) const;
   1289 
   1290   /// The type of load/store indexing.
   1291   enum MemIndexedMode {
   1292     MIM_Unindexed, ///< No indexing.
   1293     MIM_PreInc,    ///< Pre-incrementing.
   1294     MIM_PreDec,    ///< Pre-decrementing.
   1295     MIM_PostInc,   ///< Post-incrementing.
   1296     MIM_PostDec    ///< Post-decrementing.
   1297   };
   1298 
   1299   /// \returns True if the specified indexed load for the given type is legal.
   1300   bool isIndexedLoadLegal(enum MemIndexedMode Mode, Type *Ty) const;
   1301 
   1302   /// \returns True if the specified indexed store for the given type is legal.
   1303   bool isIndexedStoreLegal(enum MemIndexedMode Mode, Type *Ty) const;
   1304 
   1305   /// \returns The bitwidth of the largest vector type that should be used to
   1306   /// load/store in the given address space.
   1307   unsigned getLoadStoreVecRegBitWidth(unsigned AddrSpace) const;
   1308 
   1309   /// \returns True if the load instruction is legal to vectorize.
   1310   bool isLegalToVectorizeLoad(LoadInst *LI) const;
   1311 
   1312   /// \returns True if the store instruction is legal to vectorize.
   1313   bool isLegalToVectorizeStore(StoreInst *SI) const;
   1314 
   1315   /// \returns True if it is legal to vectorize the given load chain.
   1316   bool isLegalToVectorizeLoadChain(unsigned ChainSizeInBytes, Align Alignment,
   1317                                    unsigned AddrSpace) const;
   1318 
   1319   /// \returns True if it is legal to vectorize the given store chain.
   1320   bool isLegalToVectorizeStoreChain(unsigned ChainSizeInBytes, Align Alignment,
   1321                                     unsigned AddrSpace) const;
   1322 
   1323   /// \returns True if it is legal to vectorize the given reduction kind.
   1324   bool isLegalToVectorizeReduction(RecurrenceDescriptor RdxDesc,
   1325                                    ElementCount VF) const;
   1326 
   1327   /// \returns The new vector factor value if the target doesn't support \p
   1328   /// SizeInBytes loads or has a better vector factor.
   1329   unsigned getLoadVectorFactor(unsigned VF, unsigned LoadSize,
   1330                                unsigned ChainSizeInBytes,
   1331                                VectorType *VecTy) const;
   1332 
   1333   /// \returns The new vector factor value if the target doesn't support \p
   1334   /// SizeInBytes stores or has a better vector factor.
   1335   unsigned getStoreVectorFactor(unsigned VF, unsigned StoreSize,
   1336                                 unsigned ChainSizeInBytes,
   1337                                 VectorType *VecTy) const;
   1338 
   1339   /// Flags describing the kind of vector reduction.
   1340   struct ReductionFlags {
   1341     ReductionFlags() : IsMaxOp(false), IsSigned(false), NoNaN(false) {}
   1342     bool IsMaxOp;  ///< If the op a min/max kind, true if it's a max operation.
   1343     bool IsSigned; ///< Whether the operation is a signed int reduction.
   1344     bool NoNaN;    ///< If op is an fp min/max, whether NaNs may be present.
   1345   };
   1346 
   1347   /// \returns True if the target prefers reductions in loop.
   1348   bool preferInLoopReduction(unsigned Opcode, Type *Ty,
   1349                              ReductionFlags Flags) const;
   1350 
   1351   /// \returns True if the target prefers reductions select kept in the loop
   1352   /// when tail folding. i.e.
   1353   /// loop:
   1354   ///   p = phi (0, s)
   1355   ///   a = add (p, x)
   1356   ///   s = select (mask, a, p)
   1357   /// vecreduce.add(s)
   1358   ///
   1359   /// As opposed to the normal scheme of p = phi (0, a) which allows the select
   1360   /// to be pulled out of the loop. If the select(.., add, ..) can be predicated
   1361   /// by the target, this can lead to cleaner code generation.
   1362   bool preferPredicatedReductionSelect(unsigned Opcode, Type *Ty,
   1363                                        ReductionFlags Flags) const;
   1364 
   1365   /// \returns True if the target wants to expand the given reduction intrinsic
   1366   /// into a shuffle sequence.
   1367   bool shouldExpandReduction(const IntrinsicInst *II) const;
   1368 
   1369   /// \returns the size cost of rematerializing a GlobalValue address relative
   1370   /// to a stack reload.
   1371   unsigned getGISelRematGlobalCost() const;
   1372 
   1373   /// \returns True if the target supports scalable vectors.
   1374   bool supportsScalableVectors() const;
   1375 
   1376   /// \name Vector Predication Information
   1377   /// @{
   1378   /// Whether the target supports the %evl parameter of VP intrinsic efficiently
   1379   /// in hardware. (see LLVM Language Reference - "Vector Predication
   1380   /// Intrinsics") Use of %evl is discouraged when that is not the case.
   1381   bool hasActiveVectorLength() const;
   1382 
   1383   struct VPLegalization {
   1384     enum VPTransform {
   1385       // keep the predicating parameter
   1386       Legal = 0,
   1387       // where legal, discard the predicate parameter
   1388       Discard = 1,
   1389       // transform into something else that is also predicating
   1390       Convert = 2
   1391     };
   1392 
   1393     // How to transform the EVL parameter.
   1394     // Legal:   keep the EVL parameter as it is.
   1395     // Discard: Ignore the EVL parameter where it is safe to do so.
   1396     // Convert: Fold the EVL into the mask parameter.
   1397     VPTransform EVLParamStrategy;
   1398 
   1399     // How to transform the operator.
   1400     // Legal:   The target supports this operator.
   1401     // Convert: Convert this to a non-VP operation.
   1402     // The 'Discard' strategy is invalid.
   1403     VPTransform OpStrategy;
   1404 
   1405     bool shouldDoNothing() const {
   1406       return (EVLParamStrategy == Legal) && (OpStrategy == Legal);
   1407     }
   1408     VPLegalization(VPTransform EVLParamStrategy, VPTransform OpStrategy)
   1409         : EVLParamStrategy(EVLParamStrategy), OpStrategy(OpStrategy) {}
   1410   };
   1411 
   1412   /// \returns How the target needs this vector-predicated operation to be
   1413   /// transformed.
   1414   VPLegalization getVPLegalizationStrategy(const VPIntrinsic &PI) const;
   1415   /// @}
   1416 
   1417   /// @}
   1418 
   1419 private:
   1420   /// Estimate the latency of specified instruction.
   1421   /// Returns 1 as the default value.
   1422   InstructionCost getInstructionLatency(const Instruction *I) const;
   1423 
   1424   /// Returns the expected throughput cost of the instruction.
   1425   /// Returns -1 if the cost is unknown.
   1426   InstructionCost getInstructionThroughput(const Instruction *I) const;
   1427 
   1428   /// The abstract base class used to type erase specific TTI
   1429   /// implementations.
   1430   class Concept;
   1431 
   1432   /// The template model for the base class which wraps a concrete
   1433   /// implementation in a type erased interface.
   1434   template <typename T> class Model;
   1435 
   1436   std::unique_ptr<Concept> TTIImpl;
   1437 };
   1438 
   1439 class TargetTransformInfo::Concept {
   1440 public:
   1441   virtual ~Concept() = 0;
   1442   virtual const DataLayout &getDataLayout() const = 0;
   1443   virtual InstructionCost getGEPCost(Type *PointeeType, const Value *Ptr,
   1444                                      ArrayRef<const Value *> Operands,
   1445                                      TTI::TargetCostKind CostKind) = 0;
   1446   virtual unsigned getInliningThresholdMultiplier() = 0;
   1447   virtual unsigned adjustInliningThreshold(const CallBase *CB) = 0;
   1448   virtual int getInlinerVectorBonusPercent() = 0;
   1449   virtual InstructionCost getMemcpyCost(const Instruction *I) = 0;
   1450   virtual unsigned
   1451   getEstimatedNumberOfCaseClusters(const SwitchInst &SI, unsigned &JTSize,
   1452                                    ProfileSummaryInfo *PSI,
   1453                                    BlockFrequencyInfo *BFI) = 0;
   1454   virtual InstructionCost getUserCost(const User *U,
   1455                                       ArrayRef<const Value *> Operands,
   1456                                       TargetCostKind CostKind) = 0;
   1457   virtual BranchProbability getPredictableBranchThreshold() = 0;
   1458   virtual bool hasBranchDivergence() = 0;
   1459   virtual bool useGPUDivergenceAnalysis() = 0;
   1460   virtual bool isSourceOfDivergence(const Value *V) = 0;
   1461   virtual bool isAlwaysUniform(const Value *V) = 0;
   1462   virtual unsigned getFlatAddressSpace() = 0;
   1463   virtual bool collectFlatAddressOperands(SmallVectorImpl<int> &OpIndexes,
   1464                                           Intrinsic::ID IID) const = 0;
   1465   virtual bool isNoopAddrSpaceCast(unsigned FromAS, unsigned ToAS) const = 0;
   1466   virtual unsigned getAssumedAddrSpace(const Value *V) const = 0;
   1467   virtual Value *rewriteIntrinsicWithAddressSpace(IntrinsicInst *II,
   1468                                                   Value *OldV,
   1469                                                   Value *NewV) const = 0;
   1470   virtual bool isLoweredToCall(const Function *F) = 0;
   1471   virtual void getUnrollingPreferences(Loop *L, ScalarEvolution &,
   1472                                        UnrollingPreferences &UP) = 0;
   1473   virtual void getPeelingPreferences(Loop *L, ScalarEvolution &SE,
   1474                                      PeelingPreferences &PP) = 0;
   1475   virtual bool isHardwareLoopProfitable(Loop *L, ScalarEvolution &SE,
   1476                                         AssumptionCache &AC,
   1477                                         TargetLibraryInfo *LibInfo,
   1478                                         HardwareLoopInfo &HWLoopInfo) = 0;
   1479   virtual bool
   1480   preferPredicateOverEpilogue(Loop *L, LoopInfo *LI, ScalarEvolution &SE,
   1481                               AssumptionCache &AC, TargetLibraryInfo *TLI,
   1482                               DominatorTree *DT, const LoopAccessInfo *LAI) = 0;
   1483   virtual bool emitGetActiveLaneMask() = 0;
   1484   virtual Optional<Instruction *> instCombineIntrinsic(InstCombiner &IC,
   1485                                                        IntrinsicInst &II) = 0;
   1486   virtual Optional<Value *>
   1487   simplifyDemandedUseBitsIntrinsic(InstCombiner &IC, IntrinsicInst &II,
   1488                                    APInt DemandedMask, KnownBits &Known,
   1489                                    bool &KnownBitsComputed) = 0;
   1490   virtual Optional<Value *> simplifyDemandedVectorEltsIntrinsic(
   1491       InstCombiner &IC, IntrinsicInst &II, APInt DemandedElts, APInt &UndefElts,
   1492       APInt &UndefElts2, APInt &UndefElts3,
   1493       std::function<void(Instruction *, unsigned, APInt, APInt &)>
   1494           SimplifyAndSetOp) = 0;
   1495   virtual bool isLegalAddImmediate(int64_t Imm) = 0;
   1496   virtual bool isLegalICmpImmediate(int64_t Imm) = 0;
   1497   virtual bool isLegalAddressingMode(Type *Ty, GlobalValue *BaseGV,
   1498                                      int64_t BaseOffset, bool HasBaseReg,
   1499                                      int64_t Scale, unsigned AddrSpace,
   1500                                      Instruction *I) = 0;
   1501   virtual bool isLSRCostLess(TargetTransformInfo::LSRCost &C1,
   1502                              TargetTransformInfo::LSRCost &C2) = 0;
   1503   virtual bool isNumRegsMajorCostOfLSR() = 0;
   1504   virtual bool isProfitableLSRChainElement(Instruction *I) = 0;
   1505   virtual bool canMacroFuseCmp() = 0;
   1506   virtual bool canSaveCmp(Loop *L, BranchInst **BI, ScalarEvolution *SE,
   1507                           LoopInfo *LI, DominatorTree *DT, AssumptionCache *AC,
   1508                           TargetLibraryInfo *LibInfo) = 0;
   1509   virtual AddressingModeKind
   1510     getPreferredAddressingMode(const Loop *L, ScalarEvolution *SE) const = 0;
   1511   virtual bool isLegalMaskedStore(Type *DataType, Align Alignment) = 0;
   1512   virtual bool isLegalMaskedLoad(Type *DataType, Align Alignment) = 0;
   1513   virtual bool isLegalNTStore(Type *DataType, Align Alignment) = 0;
   1514   virtual bool isLegalNTLoad(Type *DataType, Align Alignment) = 0;
   1515   virtual bool isLegalMaskedScatter(Type *DataType, Align Alignment) = 0;
   1516   virtual bool isLegalMaskedGather(Type *DataType, Align Alignment) = 0;
   1517   virtual bool isLegalMaskedCompressStore(Type *DataType) = 0;
   1518   virtual bool isLegalMaskedExpandLoad(Type *DataType) = 0;
   1519   virtual bool hasDivRemOp(Type *DataType, bool IsSigned) = 0;
   1520   virtual bool hasVolatileVariant(Instruction *I, unsigned AddrSpace) = 0;
   1521   virtual bool prefersVectorizedAddressing() = 0;
   1522   virtual InstructionCost getScalingFactorCost(Type *Ty, GlobalValue *BaseGV,
   1523                                                int64_t BaseOffset,
   1524                                                bool HasBaseReg, int64_t Scale,
   1525                                                unsigned AddrSpace) = 0;
   1526   virtual bool LSRWithInstrQueries() = 0;
   1527   virtual bool isTruncateFree(Type *Ty1, Type *Ty2) = 0;
   1528   virtual bool isProfitableToHoist(Instruction *I) = 0;
   1529   virtual bool useAA() = 0;
   1530   virtual bool isTypeLegal(Type *Ty) = 0;
   1531   virtual InstructionCost getRegUsageForType(Type *Ty) = 0;
   1532   virtual bool shouldBuildLookupTables() = 0;
   1533   virtual bool shouldBuildLookupTablesForConstant(Constant *C) = 0;
   1534   virtual bool shouldBuildRelLookupTables() = 0;
   1535   virtual bool useColdCCForColdCall(Function &F) = 0;
   1536   virtual InstructionCost getScalarizationOverhead(VectorType *Ty,
   1537                                                    const APInt &DemandedElts,
   1538                                                    bool Insert,
   1539                                                    bool Extract) = 0;
   1540   virtual InstructionCost
   1541   getOperandsScalarizationOverhead(ArrayRef<const Value *> Args,
   1542                                    ArrayRef<Type *> Tys) = 0;
   1543   virtual bool supportsEfficientVectorElementLoadStore() = 0;
   1544   virtual bool enableAggressiveInterleaving(bool LoopHasReductions) = 0;
   1545   virtual MemCmpExpansionOptions
   1546   enableMemCmpExpansion(bool OptSize, bool IsZeroCmp) const = 0;
   1547   virtual bool enableInterleavedAccessVectorization() = 0;
   1548   virtual bool enableMaskedInterleavedAccessVectorization() = 0;
   1549   virtual bool isFPVectorizationPotentiallyUnsafe() = 0;
   1550   virtual bool allowsMisalignedMemoryAccesses(LLVMContext &Context,
   1551                                               unsigned BitWidth,
   1552                                               unsigned AddressSpace,
   1553                                               Align Alignment,
   1554                                               bool *Fast) = 0;
   1555   virtual PopcntSupportKind getPopcntSupport(unsigned IntTyWidthInBit) = 0;
   1556   virtual bool haveFastSqrt(Type *Ty) = 0;
   1557   virtual bool isFCmpOrdCheaperThanFCmpZero(Type *Ty) = 0;
   1558   virtual InstructionCost getFPOpCost(Type *Ty) = 0;
   1559   virtual int getIntImmCodeSizeCost(unsigned Opc, unsigned Idx,
   1560                                     const APInt &Imm, Type *Ty) = 0;
   1561   virtual InstructionCost getIntImmCost(const APInt &Imm, Type *Ty,
   1562                                         TargetCostKind CostKind) = 0;
   1563   virtual InstructionCost getIntImmCostInst(unsigned Opc, unsigned Idx,
   1564                                             const APInt &Imm, Type *Ty,
   1565                                             TargetCostKind CostKind,
   1566                                             Instruction *Inst = nullptr) = 0;
   1567   virtual InstructionCost getIntImmCostIntrin(Intrinsic::ID IID, unsigned Idx,
   1568                                               const APInt &Imm, Type *Ty,
   1569                                               TargetCostKind CostKind) = 0;
   1570   virtual unsigned getNumberOfRegisters(unsigned ClassID) const = 0;
   1571   virtual unsigned getRegisterClassForType(bool Vector,
   1572                                            Type *Ty = nullptr) const = 0;
   1573   virtual const char *getRegisterClassName(unsigned ClassID) const = 0;
   1574   virtual TypeSize getRegisterBitWidth(RegisterKind K) const = 0;
   1575   virtual unsigned getMinVectorRegisterBitWidth() = 0;
   1576   virtual Optional<unsigned> getMaxVScale() const = 0;
   1577   virtual bool shouldMaximizeVectorBandwidth() const = 0;
   1578   virtual ElementCount getMinimumVF(unsigned ElemWidth,
   1579                                     bool IsScalable) const = 0;
   1580   virtual unsigned getMaximumVF(unsigned ElemWidth, unsigned Opcode) const = 0;
   1581   virtual bool shouldConsiderAddressTypePromotion(
   1582       const Instruction &I, bool &AllowPromotionWithoutCommonHeader) = 0;
   1583   virtual unsigned getCacheLineSize() const = 0;
   1584   virtual Optional<unsigned> getCacheSize(CacheLevel Level) const = 0;
   1585   virtual Optional<unsigned> getCacheAssociativity(CacheLevel Level) const = 0;
   1586 
   1587   /// \return How much before a load we should place the prefetch
   1588   /// instruction.  This is currently measured in number of
   1589   /// instructions.
   1590   virtual unsigned getPrefetchDistance() const = 0;
   1591 
   1592   /// \return Some HW prefetchers can handle accesses up to a certain
   1593   /// constant stride.  This is the minimum stride in bytes where it
   1594   /// makes sense to start adding SW prefetches.  The default is 1,
   1595   /// i.e. prefetch with any stride.  Sometimes prefetching is beneficial
   1596   /// even below the HW prefetcher limit, and the arguments provided are
   1597   /// meant to serve as a basis for deciding this for a particular loop.
   1598   virtual unsigned getMinPrefetchStride(unsigned NumMemAccesses,
   1599                                         unsigned NumStridedMemAccesses,
   1600                                         unsigned NumPrefetches,
   1601                                         bool HasCall) const = 0;
   1602 
   1603   /// \return The maximum number of iterations to prefetch ahead.  If
   1604   /// the required number of iterations is more than this number, no
   1605   /// prefetching is performed.
   1606   virtual unsigned getMaxPrefetchIterationsAhead() const = 0;
   1607 
   1608   /// \return True if prefetching should also be done for writes.
   1609   virtual bool enableWritePrefetching() const = 0;
   1610 
   1611   virtual unsigned getMaxInterleaveFactor(unsigned VF) = 0;
   1612   virtual InstructionCost getArithmeticInstrCost(
   1613       unsigned Opcode, Type *Ty, TTI::TargetCostKind CostKind,
   1614       OperandValueKind Opd1Info, OperandValueKind Opd2Info,
   1615       OperandValueProperties Opd1PropInfo, OperandValueProperties Opd2PropInfo,
   1616       ArrayRef<const Value *> Args, const Instruction *CxtI = nullptr) = 0;
   1617   virtual InstructionCost getShuffleCost(ShuffleKind Kind, VectorType *Tp,
   1618                                          ArrayRef<int> Mask, int Index,
   1619                                          VectorType *SubTp) = 0;
   1620   virtual InstructionCost getCastInstrCost(unsigned Opcode, Type *Dst,
   1621                                            Type *Src, CastContextHint CCH,
   1622                                            TTI::TargetCostKind CostKind,
   1623                                            const Instruction *I) = 0;
   1624   virtual InstructionCost getExtractWithExtendCost(unsigned Opcode, Type *Dst,
   1625                                                    VectorType *VecTy,
   1626                                                    unsigned Index) = 0;
   1627   virtual InstructionCost getCFInstrCost(unsigned Opcode,
   1628                                          TTI::TargetCostKind CostKind,
   1629                                          const Instruction *I = nullptr) = 0;
   1630   virtual InstructionCost getCmpSelInstrCost(unsigned Opcode, Type *ValTy,
   1631                                              Type *CondTy,
   1632                                              CmpInst::Predicate VecPred,
   1633                                              TTI::TargetCostKind CostKind,
   1634                                              const Instruction *I) = 0;
   1635   virtual InstructionCost getVectorInstrCost(unsigned Opcode, Type *Val,
   1636                                              unsigned Index) = 0;
   1637   virtual InstructionCost getMemoryOpCost(unsigned Opcode, Type *Src,
   1638                                           Align Alignment,
   1639                                           unsigned AddressSpace,
   1640                                           TTI::TargetCostKind CostKind,
   1641                                           const Instruction *I) = 0;
   1642   virtual InstructionCost
   1643   getMaskedMemoryOpCost(unsigned Opcode, Type *Src, Align Alignment,
   1644                         unsigned AddressSpace,
   1645                         TTI::TargetCostKind CostKind) = 0;
   1646   virtual InstructionCost
   1647   getGatherScatterOpCost(unsigned Opcode, Type *DataTy, const Value *Ptr,
   1648                          bool VariableMask, Align Alignment,
   1649                          TTI::TargetCostKind CostKind,
   1650                          const Instruction *I = nullptr) = 0;
   1651 
   1652   virtual InstructionCost getInterleavedMemoryOpCost(
   1653       unsigned Opcode, Type *VecTy, unsigned Factor, ArrayRef<unsigned> Indices,
   1654       Align Alignment, unsigned AddressSpace, TTI::TargetCostKind CostKind,
   1655       bool UseMaskForCond = false, bool UseMaskForGaps = false) = 0;
   1656   virtual InstructionCost
   1657   getArithmeticReductionCost(unsigned Opcode, VectorType *Ty,
   1658                              bool IsPairwiseForm,
   1659                              TTI::TargetCostKind CostKind) = 0;
   1660   virtual InstructionCost
   1661   getMinMaxReductionCost(VectorType *Ty, VectorType *CondTy,
   1662                          bool IsPairwiseForm, bool IsUnsigned,
   1663                          TTI::TargetCostKind CostKind) = 0;
   1664   virtual InstructionCost getExtendedAddReductionCost(
   1665       bool IsMLA, bool IsUnsigned, Type *ResTy, VectorType *Ty,
   1666       TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput) = 0;
   1667   virtual InstructionCost
   1668   getIntrinsicInstrCost(const IntrinsicCostAttributes &ICA,
   1669                         TTI::TargetCostKind CostKind) = 0;
   1670   virtual InstructionCost getCallInstrCost(Function *F, Type *RetTy,
   1671                                            ArrayRef<Type *> Tys,
   1672                                            TTI::TargetCostKind CostKind) = 0;
   1673   virtual unsigned getNumberOfParts(Type *Tp) = 0;
   1674   virtual InstructionCost
   1675   getAddressComputationCost(Type *Ty, ScalarEvolution *SE, const SCEV *Ptr) = 0;
   1676   virtual InstructionCost
   1677   getCostOfKeepingLiveOverCall(ArrayRef<Type *> Tys) = 0;
   1678   virtual bool getTgtMemIntrinsic(IntrinsicInst *Inst,
   1679                                   MemIntrinsicInfo &Info) = 0;
   1680   virtual unsigned getAtomicMemIntrinsicMaxElementSize() const = 0;
   1681   virtual Value *getOrCreateResultFromMemIntrinsic(IntrinsicInst *Inst,
   1682                                                    Type *ExpectedType) = 0;
   1683   virtual Type *getMemcpyLoopLoweringType(LLVMContext &Context, Value *Length,
   1684                                           unsigned SrcAddrSpace,
   1685                                           unsigned DestAddrSpace,
   1686                                           unsigned SrcAlign,
   1687                                           unsigned DestAlign) const = 0;
   1688   virtual void getMemcpyLoopResidualLoweringType(
   1689       SmallVectorImpl<Type *> &OpsOut, LLVMContext &Context,
   1690       unsigned RemainingBytes, unsigned SrcAddrSpace, unsigned DestAddrSpace,
   1691       unsigned SrcAlign, unsigned DestAlign) const = 0;
   1692   virtual bool areInlineCompatible(const Function *Caller,
   1693                                    const Function *Callee) const = 0;
   1694   virtual bool
   1695   areFunctionArgsABICompatible(const Function *Caller, const Function *Callee,
   1696                                SmallPtrSetImpl<Argument *> &Args) const = 0;
   1697   virtual bool isIndexedLoadLegal(MemIndexedMode Mode, Type *Ty) const = 0;
   1698   virtual bool isIndexedStoreLegal(MemIndexedMode Mode, Type *Ty) const = 0;
   1699   virtual unsigned getLoadStoreVecRegBitWidth(unsigned AddrSpace) const = 0;
   1700   virtual bool isLegalToVectorizeLoad(LoadInst *LI) const = 0;
   1701   virtual bool isLegalToVectorizeStore(StoreInst *SI) const = 0;
   1702   virtual bool isLegalToVectorizeLoadChain(unsigned ChainSizeInBytes,
   1703                                            Align Alignment,
   1704                                            unsigned AddrSpace) const = 0;
   1705   virtual bool isLegalToVectorizeStoreChain(unsigned ChainSizeInBytes,
   1706                                             Align Alignment,
   1707                                             unsigned AddrSpace) const = 0;
   1708   virtual bool isLegalToVectorizeReduction(RecurrenceDescriptor RdxDesc,
   1709                                            ElementCount VF) const = 0;
   1710   virtual unsigned getLoadVectorFactor(unsigned VF, unsigned LoadSize,
   1711                                        unsigned ChainSizeInBytes,
   1712                                        VectorType *VecTy) const = 0;
   1713   virtual unsigned getStoreVectorFactor(unsigned VF, unsigned StoreSize,
   1714                                         unsigned ChainSizeInBytes,
   1715                                         VectorType *VecTy) const = 0;
   1716   virtual bool preferInLoopReduction(unsigned Opcode, Type *Ty,
   1717                                      ReductionFlags) const = 0;
   1718   virtual bool preferPredicatedReductionSelect(unsigned Opcode, Type *Ty,
   1719                                                ReductionFlags) const = 0;
   1720   virtual bool shouldExpandReduction(const IntrinsicInst *II) const = 0;
   1721   virtual unsigned getGISelRematGlobalCost() const = 0;
   1722   virtual bool supportsScalableVectors() const = 0;
   1723   virtual bool hasActiveVectorLength() const = 0;
   1724   virtual InstructionCost getInstructionLatency(const Instruction *I) = 0;
   1725   virtual VPLegalization
   1726   getVPLegalizationStrategy(const VPIntrinsic &PI) const = 0;
   1727 };
   1728 
   1729 template <typename T>
   1730 class TargetTransformInfo::Model final : public TargetTransformInfo::Concept {
   1731   T Impl;
   1732 
   1733 public:
   1734   Model(T Impl) : Impl(std::move(Impl)) {}
   1735   ~Model() override {}
   1736 
   1737   const DataLayout &getDataLayout() const override {
   1738     return Impl.getDataLayout();
   1739   }
   1740 
   1741   InstructionCost
   1742   getGEPCost(Type *PointeeType, const Value *Ptr,
   1743              ArrayRef<const Value *> Operands,
   1744              enum TargetTransformInfo::TargetCostKind CostKind) override {
   1745     return Impl.getGEPCost(PointeeType, Ptr, Operands);
   1746   }
   1747   unsigned getInliningThresholdMultiplier() override {
   1748     return Impl.getInliningThresholdMultiplier();
   1749   }
   1750   unsigned adjustInliningThreshold(const CallBase *CB) override {
   1751     return Impl.adjustInliningThreshold(CB);
   1752   }
   1753   int getInlinerVectorBonusPercent() override {
   1754     return Impl.getInlinerVectorBonusPercent();
   1755   }
   1756   InstructionCost getMemcpyCost(const Instruction *I) override {
   1757     return Impl.getMemcpyCost(I);
   1758   }
   1759   InstructionCost getUserCost(const User *U, ArrayRef<const Value *> Operands,
   1760                               TargetCostKind CostKind) override {
   1761     return Impl.getUserCost(U, Operands, CostKind);
   1762   }
   1763   BranchProbability getPredictableBranchThreshold() override {
   1764     return Impl.getPredictableBranchThreshold();
   1765   }
   1766   bool hasBranchDivergence() override { return Impl.hasBranchDivergence(); }
   1767   bool useGPUDivergenceAnalysis() override {
   1768     return Impl.useGPUDivergenceAnalysis();
   1769   }
   1770   bool isSourceOfDivergence(const Value *V) override {
   1771     return Impl.isSourceOfDivergence(V);
   1772   }
   1773 
   1774   bool isAlwaysUniform(const Value *V) override {
   1775     return Impl.isAlwaysUniform(V);
   1776   }
   1777 
   1778   unsigned getFlatAddressSpace() override { return Impl.getFlatAddressSpace(); }
   1779 
   1780   bool collectFlatAddressOperands(SmallVectorImpl<int> &OpIndexes,
   1781                                   Intrinsic::ID IID) const override {
   1782     return Impl.collectFlatAddressOperands(OpIndexes, IID);
   1783   }
   1784 
   1785   bool isNoopAddrSpaceCast(unsigned FromAS, unsigned ToAS) const override {
   1786     return Impl.isNoopAddrSpaceCast(FromAS, ToAS);
   1787   }
   1788 
   1789   unsigned getAssumedAddrSpace(const Value *V) const override {
   1790     return Impl.getAssumedAddrSpace(V);
   1791   }
   1792 
   1793   Value *rewriteIntrinsicWithAddressSpace(IntrinsicInst *II, Value *OldV,
   1794                                           Value *NewV) const override {
   1795     return Impl.rewriteIntrinsicWithAddressSpace(II, OldV, NewV);
   1796   }
   1797 
   1798   bool isLoweredToCall(const Function *F) override {
   1799     return Impl.isLoweredToCall(F);
   1800   }
   1801   void getUnrollingPreferences(Loop *L, ScalarEvolution &SE,
   1802                                UnrollingPreferences &UP) override {
   1803     return Impl.getUnrollingPreferences(L, SE, UP);
   1804   }
   1805   void getPeelingPreferences(Loop *L, ScalarEvolution &SE,
   1806                              PeelingPreferences &PP) override {
   1807     return Impl.getPeelingPreferences(L, SE, PP);
   1808   }
   1809   bool isHardwareLoopProfitable(Loop *L, ScalarEvolution &SE,
   1810                                 AssumptionCache &AC, TargetLibraryInfo *LibInfo,
   1811                                 HardwareLoopInfo &HWLoopInfo) override {
   1812     return Impl.isHardwareLoopProfitable(L, SE, AC, LibInfo, HWLoopInfo);
   1813   }
   1814   bool preferPredicateOverEpilogue(Loop *L, LoopInfo *LI, ScalarEvolution &SE,
   1815                                    AssumptionCache &AC, TargetLibraryInfo *TLI,
   1816                                    DominatorTree *DT,
   1817                                    const LoopAccessInfo *LAI) override {
   1818     return Impl.preferPredicateOverEpilogue(L, LI, SE, AC, TLI, DT, LAI);
   1819   }
   1820   bool emitGetActiveLaneMask() override {
   1821     return Impl.emitGetActiveLaneMask();
   1822   }
   1823   Optional<Instruction *> instCombineIntrinsic(InstCombiner &IC,
   1824                                                IntrinsicInst &II) override {
   1825     return Impl.instCombineIntrinsic(IC, II);
   1826   }
   1827   Optional<Value *>
   1828   simplifyDemandedUseBitsIntrinsic(InstCombiner &IC, IntrinsicInst &II,
   1829                                    APInt DemandedMask, KnownBits &Known,
   1830                                    bool &KnownBitsComputed) override {
   1831     return Impl.simplifyDemandedUseBitsIntrinsic(IC, II, DemandedMask, Known,
   1832                                                  KnownBitsComputed);
   1833   }
   1834   Optional<Value *> simplifyDemandedVectorEltsIntrinsic(
   1835       InstCombiner &IC, IntrinsicInst &II, APInt DemandedElts, APInt &UndefElts,
   1836       APInt &UndefElts2, APInt &UndefElts3,
   1837       std::function<void(Instruction *, unsigned, APInt, APInt &)>
   1838           SimplifyAndSetOp) override {
   1839     return Impl.simplifyDemandedVectorEltsIntrinsic(
   1840         IC, II, DemandedElts, UndefElts, UndefElts2, UndefElts3,
   1841         SimplifyAndSetOp);
   1842   }
   1843   bool isLegalAddImmediate(int64_t Imm) override {
   1844     return Impl.isLegalAddImmediate(Imm);
   1845   }
   1846   bool isLegalICmpImmediate(int64_t Imm) override {
   1847     return Impl.isLegalICmpImmediate(Imm);
   1848   }
   1849   bool isLegalAddressingMode(Type *Ty, GlobalValue *BaseGV, int64_t BaseOffset,
   1850                              bool HasBaseReg, int64_t Scale, unsigned AddrSpace,
   1851                              Instruction *I) override {
   1852     return Impl.isLegalAddressingMode(Ty, BaseGV, BaseOffset, HasBaseReg, Scale,
   1853                                       AddrSpace, I);
   1854   }
   1855   bool isLSRCostLess(TargetTransformInfo::LSRCost &C1,
   1856                      TargetTransformInfo::LSRCost &C2) override {
   1857     return Impl.isLSRCostLess(C1, C2);
   1858   }
   1859   bool isNumRegsMajorCostOfLSR() override {
   1860     return Impl.isNumRegsMajorCostOfLSR();
   1861   }
   1862   bool isProfitableLSRChainElement(Instruction *I) override {
   1863     return Impl.isProfitableLSRChainElement(I);
   1864   }
   1865   bool canMacroFuseCmp() override { return Impl.canMacroFuseCmp(); }
   1866   bool canSaveCmp(Loop *L, BranchInst **BI, ScalarEvolution *SE, LoopInfo *LI,
   1867                   DominatorTree *DT, AssumptionCache *AC,
   1868                   TargetLibraryInfo *LibInfo) override {
   1869     return Impl.canSaveCmp(L, BI, SE, LI, DT, AC, LibInfo);
   1870   }
   1871   AddressingModeKind
   1872     getPreferredAddressingMode(const Loop *L,
   1873                                ScalarEvolution *SE) const override {
   1874     return Impl.getPreferredAddressingMode(L, SE);
   1875   }
   1876   bool isLegalMaskedStore(Type *DataType, Align Alignment) override {
   1877     return Impl.isLegalMaskedStore(DataType, Alignment);
   1878   }
   1879   bool isLegalMaskedLoad(Type *DataType, Align Alignment) override {
   1880     return Impl.isLegalMaskedLoad(DataType, Alignment);
   1881   }
   1882   bool isLegalNTStore(Type *DataType, Align Alignment) override {
   1883     return Impl.isLegalNTStore(DataType, Alignment);
   1884   }
   1885   bool isLegalNTLoad(Type *DataType, Align Alignment) override {
   1886     return Impl.isLegalNTLoad(DataType, Alignment);
   1887   }
   1888   bool isLegalMaskedScatter(Type *DataType, Align Alignment) override {
   1889     return Impl.isLegalMaskedScatter(DataType, Alignment);
   1890   }
   1891   bool isLegalMaskedGather(Type *DataType, Align Alignment) override {
   1892     return Impl.isLegalMaskedGather(DataType, Alignment);
   1893   }
   1894   bool isLegalMaskedCompressStore(Type *DataType) override {
   1895     return Impl.isLegalMaskedCompressStore(DataType);
   1896   }
   1897   bool isLegalMaskedExpandLoad(Type *DataType) override {
   1898     return Impl.isLegalMaskedExpandLoad(DataType);
   1899   }
   1900   bool hasDivRemOp(Type *DataType, bool IsSigned) override {
   1901     return Impl.hasDivRemOp(DataType, IsSigned);
   1902   }
   1903   bool hasVolatileVariant(Instruction *I, unsigned AddrSpace) override {
   1904     return Impl.hasVolatileVariant(I, AddrSpace);
   1905   }
   1906   bool prefersVectorizedAddressing() override {
   1907     return Impl.prefersVectorizedAddressing();
   1908   }
   1909   InstructionCost getScalingFactorCost(Type *Ty, GlobalValue *BaseGV,
   1910                                        int64_t BaseOffset, bool HasBaseReg,
   1911                                        int64_t Scale,
   1912                                        unsigned AddrSpace) override {
   1913     return Impl.getScalingFactorCost(Ty, BaseGV, BaseOffset, HasBaseReg, Scale,
   1914                                      AddrSpace);
   1915   }
   1916   bool LSRWithInstrQueries() override { return Impl.LSRWithInstrQueries(); }
   1917   bool isTruncateFree(Type *Ty1, Type *Ty2) override {
   1918     return Impl.isTruncateFree(Ty1, Ty2);
   1919   }
   1920   bool isProfitableToHoist(Instruction *I) override {
   1921     return Impl.isProfitableToHoist(I);
   1922   }
   1923   bool useAA() override { return Impl.useAA(); }
   1924   bool isTypeLegal(Type *Ty) override { return Impl.isTypeLegal(Ty); }
   1925   InstructionCost getRegUsageForType(Type *Ty) override {
   1926     return Impl.getRegUsageForType(Ty);
   1927   }
   1928   bool shouldBuildLookupTables() override {
   1929     return Impl.shouldBuildLookupTables();
   1930   }
   1931   bool shouldBuildLookupTablesForConstant(Constant *C) override {
   1932     return Impl.shouldBuildLookupTablesForConstant(C);
   1933   }
   1934   bool shouldBuildRelLookupTables() override {
   1935     return Impl.shouldBuildRelLookupTables();
   1936   }
   1937   bool useColdCCForColdCall(Function &F) override {
   1938     return Impl.useColdCCForColdCall(F);
   1939   }
   1940 
   1941   InstructionCost getScalarizationOverhead(VectorType *Ty,
   1942                                            const APInt &DemandedElts,
   1943                                            bool Insert, bool Extract) override {
   1944     return Impl.getScalarizationOverhead(Ty, DemandedElts, Insert, Extract);
   1945   }
   1946   InstructionCost
   1947   getOperandsScalarizationOverhead(ArrayRef<const Value *> Args,
   1948                                    ArrayRef<Type *> Tys) override {
   1949     return Impl.getOperandsScalarizationOverhead(Args, Tys);
   1950   }
   1951 
   1952   bool supportsEfficientVectorElementLoadStore() override {
   1953     return Impl.supportsEfficientVectorElementLoadStore();
   1954   }
   1955 
   1956   bool enableAggressiveInterleaving(bool LoopHasReductions) override {
   1957     return Impl.enableAggressiveInterleaving(LoopHasReductions);
   1958   }
   1959   MemCmpExpansionOptions enableMemCmpExpansion(bool OptSize,
   1960                                                bool IsZeroCmp) const override {
   1961     return Impl.enableMemCmpExpansion(OptSize, IsZeroCmp);
   1962   }
   1963   bool enableInterleavedAccessVectorization() override {
   1964     return Impl.enableInterleavedAccessVectorization();
   1965   }
   1966   bool enableMaskedInterleavedAccessVectorization() override {
   1967     return Impl.enableMaskedInterleavedAccessVectorization();
   1968   }
   1969   bool isFPVectorizationPotentiallyUnsafe() override {
   1970     return Impl.isFPVectorizationPotentiallyUnsafe();
   1971   }
   1972   bool allowsMisalignedMemoryAccesses(LLVMContext &Context, unsigned BitWidth,
   1973                                       unsigned AddressSpace, Align Alignment,
   1974                                       bool *Fast) override {
   1975     return Impl.allowsMisalignedMemoryAccesses(Context, BitWidth, AddressSpace,
   1976                                                Alignment, Fast);
   1977   }
   1978   PopcntSupportKind getPopcntSupport(unsigned IntTyWidthInBit) override {
   1979     return Impl.getPopcntSupport(IntTyWidthInBit);
   1980   }
   1981   bool haveFastSqrt(Type *Ty) override { return Impl.haveFastSqrt(Ty); }
   1982 
   1983   bool isFCmpOrdCheaperThanFCmpZero(Type *Ty) override {
   1984     return Impl.isFCmpOrdCheaperThanFCmpZero(Ty);
   1985   }
   1986 
   1987   InstructionCost getFPOpCost(Type *Ty) override {
   1988     return Impl.getFPOpCost(Ty);
   1989   }
   1990 
   1991   int getIntImmCodeSizeCost(unsigned Opc, unsigned Idx, const APInt &Imm,
   1992                             Type *Ty) override {
   1993     return Impl.getIntImmCodeSizeCost(Opc, Idx, Imm, Ty);
   1994   }
   1995   InstructionCost getIntImmCost(const APInt &Imm, Type *Ty,
   1996                                 TargetCostKind CostKind) override {
   1997     return Impl.getIntImmCost(Imm, Ty, CostKind);
   1998   }
   1999   InstructionCost getIntImmCostInst(unsigned Opc, unsigned Idx,
   2000                                     const APInt &Imm, Type *Ty,
   2001                                     TargetCostKind CostKind,
   2002                                     Instruction *Inst = nullptr) override {
   2003     return Impl.getIntImmCostInst(Opc, Idx, Imm, Ty, CostKind, Inst);
   2004   }
   2005   InstructionCost getIntImmCostIntrin(Intrinsic::ID IID, unsigned Idx,
   2006                                       const APInt &Imm, Type *Ty,
   2007                                       TargetCostKind CostKind) override {
   2008     return Impl.getIntImmCostIntrin(IID, Idx, Imm, Ty, CostKind);
   2009   }
   2010   unsigned getNumberOfRegisters(unsigned ClassID) const override {
   2011     return Impl.getNumberOfRegisters(ClassID);
   2012   }
   2013   unsigned getRegisterClassForType(bool Vector,
   2014                                    Type *Ty = nullptr) const override {
   2015     return Impl.getRegisterClassForType(Vector, Ty);
   2016   }
   2017   const char *getRegisterClassName(unsigned ClassID) const override {
   2018     return Impl.getRegisterClassName(ClassID);
   2019   }
   2020   TypeSize getRegisterBitWidth(RegisterKind K) const override {
   2021     return Impl.getRegisterBitWidth(K);
   2022   }
   2023   unsigned getMinVectorRegisterBitWidth() override {
   2024     return Impl.getMinVectorRegisterBitWidth();
   2025   }
   2026   Optional<unsigned> getMaxVScale() const override {
   2027     return Impl.getMaxVScale();
   2028   }
   2029   bool shouldMaximizeVectorBandwidth() const override {
   2030     return Impl.shouldMaximizeVectorBandwidth();
   2031   }
   2032   ElementCount getMinimumVF(unsigned ElemWidth,
   2033                             bool IsScalable) const override {
   2034     return Impl.getMinimumVF(ElemWidth, IsScalable);
   2035   }
   2036   unsigned getMaximumVF(unsigned ElemWidth, unsigned Opcode) const override {
   2037     return Impl.getMaximumVF(ElemWidth, Opcode);
   2038   }
   2039   bool shouldConsiderAddressTypePromotion(
   2040       const Instruction &I, bool &AllowPromotionWithoutCommonHeader) override {
   2041     return Impl.shouldConsiderAddressTypePromotion(
   2042         I, AllowPromotionWithoutCommonHeader);
   2043   }
   2044   unsigned getCacheLineSize() const override { return Impl.getCacheLineSize(); }
   2045   Optional<unsigned> getCacheSize(CacheLevel Level) const override {
   2046     return Impl.getCacheSize(Level);
   2047   }
   2048   Optional<unsigned> getCacheAssociativity(CacheLevel Level) const override {
   2049     return Impl.getCacheAssociativity(Level);
   2050   }
   2051 
   2052   /// Return the preferred prefetch distance in terms of instructions.
   2053   ///
   2054   unsigned getPrefetchDistance() const override {
   2055     return Impl.getPrefetchDistance();
   2056   }
   2057 
   2058   /// Return the minimum stride necessary to trigger software
   2059   /// prefetching.
   2060   ///
   2061   unsigned getMinPrefetchStride(unsigned NumMemAccesses,
   2062                                 unsigned NumStridedMemAccesses,
   2063                                 unsigned NumPrefetches,
   2064                                 bool HasCall) const override {
   2065     return Impl.getMinPrefetchStride(NumMemAccesses, NumStridedMemAccesses,
   2066                                      NumPrefetches, HasCall);
   2067   }
   2068 
   2069   /// Return the maximum prefetch distance in terms of loop
   2070   /// iterations.
   2071   ///
   2072   unsigned getMaxPrefetchIterationsAhead() const override {
   2073     return Impl.getMaxPrefetchIterationsAhead();
   2074   }
   2075 
   2076   /// \return True if prefetching should also be done for writes.
   2077   bool enableWritePrefetching() const override {
   2078     return Impl.enableWritePrefetching();
   2079   }
   2080 
   2081   unsigned getMaxInterleaveFactor(unsigned VF) override {
   2082     return Impl.getMaxInterleaveFactor(VF);
   2083   }
   2084   unsigned getEstimatedNumberOfCaseClusters(const SwitchInst &SI,
   2085                                             unsigned &JTSize,
   2086                                             ProfileSummaryInfo *PSI,
   2087                                             BlockFrequencyInfo *BFI) override {
   2088     return Impl.getEstimatedNumberOfCaseClusters(SI, JTSize, PSI, BFI);
   2089   }
   2090   InstructionCost getArithmeticInstrCost(
   2091       unsigned Opcode, Type *Ty, TTI::TargetCostKind CostKind,
   2092       OperandValueKind Opd1Info, OperandValueKind Opd2Info,
   2093       OperandValueProperties Opd1PropInfo, OperandValueProperties Opd2PropInfo,
   2094       ArrayRef<const Value *> Args,
   2095       const Instruction *CxtI = nullptr) override {
   2096     return Impl.getArithmeticInstrCost(Opcode, Ty, CostKind, Opd1Info, Opd2Info,
   2097                                        Opd1PropInfo, Opd2PropInfo, Args, CxtI);
   2098   }
   2099   InstructionCost getShuffleCost(ShuffleKind Kind, VectorType *Tp,
   2100                                  ArrayRef<int> Mask, int Index,
   2101                                  VectorType *SubTp) override {
   2102     return Impl.getShuffleCost(Kind, Tp, Mask, Index, SubTp);
   2103   }
   2104   InstructionCost getCastInstrCost(unsigned Opcode, Type *Dst, Type *Src,
   2105                                    CastContextHint CCH,
   2106                                    TTI::TargetCostKind CostKind,
   2107                                    const Instruction *I) override {
   2108     return Impl.getCastInstrCost(Opcode, Dst, Src, CCH, CostKind, I);
   2109   }
   2110   InstructionCost getExtractWithExtendCost(unsigned Opcode, Type *Dst,
   2111                                            VectorType *VecTy,
   2112                                            unsigned Index) override {
   2113     return Impl.getExtractWithExtendCost(Opcode, Dst, VecTy, Index);
   2114   }
   2115   InstructionCost getCFInstrCost(unsigned Opcode, TTI::TargetCostKind CostKind,
   2116                                  const Instruction *I = nullptr) override {
   2117     return Impl.getCFInstrCost(Opcode, CostKind, I);
   2118   }
   2119   InstructionCost getCmpSelInstrCost(unsigned Opcode, Type *ValTy, Type *CondTy,
   2120                                      CmpInst::Predicate VecPred,
   2121                                      TTI::TargetCostKind CostKind,
   2122                                      const Instruction *I) override {
   2123     return Impl.getCmpSelInstrCost(Opcode, ValTy, CondTy, VecPred, CostKind, I);
   2124   }
   2125   InstructionCost getVectorInstrCost(unsigned Opcode, Type *Val,
   2126                                      unsigned Index) override {
   2127     return Impl.getVectorInstrCost(Opcode, Val, Index);
   2128   }
   2129   InstructionCost getMemoryOpCost(unsigned Opcode, Type *Src, Align Alignment,
   2130                                   unsigned AddressSpace,
   2131                                   TTI::TargetCostKind CostKind,
   2132                                   const Instruction *I) override {
   2133     return Impl.getMemoryOpCost(Opcode, Src, Alignment, AddressSpace,
   2134                                 CostKind, I);
   2135   }
   2136   InstructionCost getMaskedMemoryOpCost(unsigned Opcode, Type *Src,
   2137                                         Align Alignment, unsigned AddressSpace,
   2138                                         TTI::TargetCostKind CostKind) override {
   2139     return Impl.getMaskedMemoryOpCost(Opcode, Src, Alignment, AddressSpace,
   2140                                       CostKind);
   2141   }
   2142   InstructionCost
   2143   getGatherScatterOpCost(unsigned Opcode, Type *DataTy, const Value *Ptr,
   2144                          bool VariableMask, Align Alignment,
   2145                          TTI::TargetCostKind CostKind,
   2146                          const Instruction *I = nullptr) override {
   2147     return Impl.getGatherScatterOpCost(Opcode, DataTy, Ptr, VariableMask,
   2148                                        Alignment, CostKind, I);
   2149   }
   2150   InstructionCost getInterleavedMemoryOpCost(
   2151       unsigned Opcode, Type *VecTy, unsigned Factor, ArrayRef<unsigned> Indices,
   2152       Align Alignment, unsigned AddressSpace, TTI::TargetCostKind CostKind,
   2153       bool UseMaskForCond, bool UseMaskForGaps) override {
   2154     return Impl.getInterleavedMemoryOpCost(Opcode, VecTy, Factor, Indices,
   2155                                            Alignment, AddressSpace, CostKind,
   2156                                            UseMaskForCond, UseMaskForGaps);
   2157   }
   2158   InstructionCost
   2159   getArithmeticReductionCost(unsigned Opcode, VectorType *Ty,
   2160                              bool IsPairwiseForm,
   2161                              TTI::TargetCostKind CostKind) override {
   2162     return Impl.getArithmeticReductionCost(Opcode, Ty, IsPairwiseForm,
   2163                                            CostKind);
   2164   }
   2165   InstructionCost
   2166   getMinMaxReductionCost(VectorType *Ty, VectorType *CondTy,
   2167                          bool IsPairwiseForm, bool IsUnsigned,
   2168                          TTI::TargetCostKind CostKind) override {
   2169     return Impl.getMinMaxReductionCost(Ty, CondTy, IsPairwiseForm, IsUnsigned,
   2170                                        CostKind);
   2171   }
   2172   InstructionCost getExtendedAddReductionCost(
   2173       bool IsMLA, bool IsUnsigned, Type *ResTy, VectorType *Ty,
   2174       TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput) override {
   2175     return Impl.getExtendedAddReductionCost(IsMLA, IsUnsigned, ResTy, Ty,
   2176                                             CostKind);
   2177   }
   2178   InstructionCost getIntrinsicInstrCost(const IntrinsicCostAttributes &ICA,
   2179                                         TTI::TargetCostKind CostKind) override {
   2180     return Impl.getIntrinsicInstrCost(ICA, CostKind);
   2181   }
   2182   InstructionCost getCallInstrCost(Function *F, Type *RetTy,
   2183                                    ArrayRef<Type *> Tys,
   2184                                    TTI::TargetCostKind CostKind) override {
   2185     return Impl.getCallInstrCost(F, RetTy, Tys, CostKind);
   2186   }
   2187   unsigned getNumberOfParts(Type *Tp) override {
   2188     return Impl.getNumberOfParts(Tp);
   2189   }
   2190   InstructionCost getAddressComputationCost(Type *Ty, ScalarEvolution *SE,
   2191                                             const SCEV *Ptr) override {
   2192     return Impl.getAddressComputationCost(Ty, SE, Ptr);
   2193   }
   2194   InstructionCost getCostOfKeepingLiveOverCall(ArrayRef<Type *> Tys) override {
   2195     return Impl.getCostOfKeepingLiveOverCall(Tys);
   2196   }
   2197   bool getTgtMemIntrinsic(IntrinsicInst *Inst,
   2198                           MemIntrinsicInfo &Info) override {
   2199     return Impl.getTgtMemIntrinsic(Inst, Info);
   2200   }
   2201   unsigned getAtomicMemIntrinsicMaxElementSize() const override {
   2202     return Impl.getAtomicMemIntrinsicMaxElementSize();
   2203   }
   2204   Value *getOrCreateResultFromMemIntrinsic(IntrinsicInst *Inst,
   2205                                            Type *ExpectedType) override {
   2206     return Impl.getOrCreateResultFromMemIntrinsic(Inst, ExpectedType);
   2207   }
   2208   Type *getMemcpyLoopLoweringType(LLVMContext &Context, Value *Length,
   2209                                   unsigned SrcAddrSpace, unsigned DestAddrSpace,
   2210                                   unsigned SrcAlign,
   2211                                   unsigned DestAlign) const override {
   2212     return Impl.getMemcpyLoopLoweringType(Context, Length, SrcAddrSpace,
   2213                                           DestAddrSpace, SrcAlign, DestAlign);
   2214   }
   2215   void getMemcpyLoopResidualLoweringType(
   2216       SmallVectorImpl<Type *> &OpsOut, LLVMContext &Context,
   2217       unsigned RemainingBytes, unsigned SrcAddrSpace, unsigned DestAddrSpace,
   2218       unsigned SrcAlign, unsigned DestAlign) const override {
   2219     Impl.getMemcpyLoopResidualLoweringType(OpsOut, Context, RemainingBytes,
   2220                                            SrcAddrSpace, DestAddrSpace,
   2221                                            SrcAlign, DestAlign);
   2222   }
   2223   bool areInlineCompatible(const Function *Caller,
   2224                            const Function *Callee) const override {
   2225     return Impl.areInlineCompatible(Caller, Callee);
   2226   }
   2227   bool areFunctionArgsABICompatible(
   2228       const Function *Caller, const Function *Callee,
   2229       SmallPtrSetImpl<Argument *> &Args) const override {
   2230     return Impl.areFunctionArgsABICompatible(Caller, Callee, Args);
   2231   }
   2232   bool isIndexedLoadLegal(MemIndexedMode Mode, Type *Ty) const override {
   2233     return Impl.isIndexedLoadLegal(Mode, Ty, getDataLayout());
   2234   }
   2235   bool isIndexedStoreLegal(MemIndexedMode Mode, Type *Ty) const override {
   2236     return Impl.isIndexedStoreLegal(Mode, Ty, getDataLayout());
   2237   }
   2238   unsigned getLoadStoreVecRegBitWidth(unsigned AddrSpace) const override {
   2239     return Impl.getLoadStoreVecRegBitWidth(AddrSpace);
   2240   }
   2241   bool isLegalToVectorizeLoad(LoadInst *LI) const override {
   2242     return Impl.isLegalToVectorizeLoad(LI);
   2243   }
   2244   bool isLegalToVectorizeStore(StoreInst *SI) const override {
   2245     return Impl.isLegalToVectorizeStore(SI);
   2246   }
   2247   bool isLegalToVectorizeLoadChain(unsigned ChainSizeInBytes, Align Alignment,
   2248                                    unsigned AddrSpace) const override {
   2249     return Impl.isLegalToVectorizeLoadChain(ChainSizeInBytes, Alignment,
   2250                                             AddrSpace);
   2251   }
   2252   bool isLegalToVectorizeStoreChain(unsigned ChainSizeInBytes, Align Alignment,
   2253                                     unsigned AddrSpace) const override {
   2254     return Impl.isLegalToVectorizeStoreChain(ChainSizeInBytes, Alignment,
   2255                                              AddrSpace);
   2256   }
   2257   bool isLegalToVectorizeReduction(RecurrenceDescriptor RdxDesc,
   2258                                    ElementCount VF) const override {
   2259     return Impl.isLegalToVectorizeReduction(RdxDesc, VF);
   2260   }
   2261   unsigned getLoadVectorFactor(unsigned VF, unsigned LoadSize,
   2262                                unsigned ChainSizeInBytes,
   2263                                VectorType *VecTy) const override {
   2264     return Impl.getLoadVectorFactor(VF, LoadSize, ChainSizeInBytes, VecTy);
   2265   }
   2266   unsigned getStoreVectorFactor(unsigned VF, unsigned StoreSize,
   2267                                 unsigned ChainSizeInBytes,
   2268                                 VectorType *VecTy) const override {
   2269     return Impl.getStoreVectorFactor(VF, StoreSize, ChainSizeInBytes, VecTy);
   2270   }
   2271   bool preferInLoopReduction(unsigned Opcode, Type *Ty,
   2272                              ReductionFlags Flags) const override {
   2273     return Impl.preferInLoopReduction(Opcode, Ty, Flags);
   2274   }
   2275   bool preferPredicatedReductionSelect(unsigned Opcode, Type *Ty,
   2276                                        ReductionFlags Flags) const override {
   2277     return Impl.preferPredicatedReductionSelect(Opcode, Ty, Flags);
   2278   }
   2279   bool shouldExpandReduction(const IntrinsicInst *II) const override {
   2280     return Impl.shouldExpandReduction(II);
   2281   }
   2282 
   2283   unsigned getGISelRematGlobalCost() const override {
   2284     return Impl.getGISelRematGlobalCost();
   2285   }
   2286 
   2287   bool supportsScalableVectors() const override {
   2288     return Impl.supportsScalableVectors();
   2289   }
   2290 
   2291   bool hasActiveVectorLength() const override {
   2292     return Impl.hasActiveVectorLength();
   2293   }
   2294 
   2295   InstructionCost getInstructionLatency(const Instruction *I) override {
   2296     return Impl.getInstructionLatency(I);
   2297   }
   2298 
   2299   VPLegalization
   2300   getVPLegalizationStrategy(const VPIntrinsic &PI) const override {
   2301     return Impl.getVPLegalizationStrategy(PI);
   2302   }
   2303 };
   2304 
   2305 template <typename T>
   2306 TargetTransformInfo::TargetTransformInfo(T Impl)
   2307     : TTIImpl(new Model<T>(Impl)) {}
   2308 
   2309 /// Analysis pass providing the \c TargetTransformInfo.
   2310 ///
   2311 /// The core idea of the TargetIRAnalysis is to expose an interface through
   2312 /// which LLVM targets can analyze and provide information about the middle
   2313 /// end's target-independent IR. This supports use cases such as target-aware
   2314 /// cost modeling of IR constructs.
   2315 ///
   2316 /// This is a function analysis because much of the cost modeling for targets
   2317 /// is done in a subtarget specific way and LLVM supports compiling different
   2318 /// functions targeting different subtargets in order to support runtime
   2319 /// dispatch according to the observed subtarget.
   2320 class TargetIRAnalysis : public AnalysisInfoMixin<TargetIRAnalysis> {
   2321 public:
   2322   typedef TargetTransformInfo Result;
   2323 
   2324   /// Default construct a target IR analysis.
   2325   ///
   2326   /// This will use the module's datalayout to construct a baseline
   2327   /// conservative TTI result.
   2328   TargetIRAnalysis();
   2329 
   2330   /// Construct an IR analysis pass around a target-provide callback.
   2331   ///
   2332   /// The callback will be called with a particular function for which the TTI
   2333   /// is needed and must return a TTI object for that function.
   2334   TargetIRAnalysis(std::function<Result(const Function &)> TTICallback);
   2335 
   2336   // Value semantics. We spell out the constructors for MSVC.
   2337   TargetIRAnalysis(const TargetIRAnalysis &Arg)
   2338       : TTICallback(Arg.TTICallback) {}
   2339   TargetIRAnalysis(TargetIRAnalysis &&Arg)
   2340       : TTICallback(std::move(Arg.TTICallback)) {}
   2341   TargetIRAnalysis &operator=(const TargetIRAnalysis &RHS) {
   2342     TTICallback = RHS.TTICallback;
   2343     return *this;
   2344   }
   2345   TargetIRAnalysis &operator=(TargetIRAnalysis &&RHS) {
   2346     TTICallback = std::move(RHS.TTICallback);
   2347     return *this;
   2348   }
   2349 
   2350   Result run(const Function &F, FunctionAnalysisManager &);
   2351 
   2352 private:
   2353   friend AnalysisInfoMixin<TargetIRAnalysis>;
   2354   static AnalysisKey Key;
   2355 
   2356   /// The callback used to produce a result.
   2357   ///
   2358   /// We use a completely opaque callback so that targets can provide whatever
   2359   /// mechanism they desire for constructing the TTI for a given function.
   2360   ///
   2361   /// FIXME: Should we really use std::function? It's relatively inefficient.
   2362   /// It might be possible to arrange for even stateful callbacks to outlive
   2363   /// the analysis and thus use a function_ref which would be lighter weight.
   2364   /// This may also be less error prone as the callback is likely to reference
   2365   /// the external TargetMachine, and that reference needs to never dangle.
   2366   std::function<Result(const Function &)> TTICallback;
   2367 
   2368   /// Helper function used as the callback in the default constructor.
   2369   static Result getDefaultTTI(const Function &F);
   2370 };
   2371 
   2372 /// Wrapper pass for TargetTransformInfo.
   2373 ///
   2374 /// This pass can be constructed from a TTI object which it stores internally
   2375 /// and is queried by passes.
   2376 class TargetTransformInfoWrapperPass : public ImmutablePass {
   2377   TargetIRAnalysis TIRA;
   2378   Optional<TargetTransformInfo> TTI;
   2379 
   2380   virtual void anchor();
   2381 
   2382 public:
   2383   static char ID;
   2384 
   2385   /// We must provide a default constructor for the pass but it should
   2386   /// never be used.
   2387   ///
   2388   /// Use the constructor below or call one of the creation routines.
   2389   TargetTransformInfoWrapperPass();
   2390 
   2391   explicit TargetTransformInfoWrapperPass(TargetIRAnalysis TIRA);
   2392 
   2393   TargetTransformInfo &getTTI(const Function &F);
   2394 };
   2395 
   2396 /// Create an analysis pass wrapper around a TTI object.
   2397 ///
   2398 /// This analysis pass just holds the TTI instance and makes it available to
   2399 /// clients.
   2400 ImmutablePass *createTargetTransformInfoWrapperPass(TargetIRAnalysis TIRA);
   2401 
   2402 } // namespace llvm
   2403 
   2404 #endif
   2405