//===- llvm/Analysis/LoopAccessAnalysis.h -----------------------*- C++ -*-===// // // The LLVM Compiler Infrastructure // // This file is distributed under the University of Illinois Open Source // License. See LICENSE.TXT for details. // //===----------------------------------------------------------------------===// // // This file defines the interface for the loop memory dependence framework that // was originally developed for the Loop Vectorizer. // //===----------------------------------------------------------------------===// #ifndef LLVM_ANALYSIS_LOOPACCESSANALYSIS_H #define LLVM_ANALYSIS_LOOPACCESSANALYSIS_H #include "llvm/ADT/EquivalenceClasses.h" #include "llvm/ADT/Optional.h" #include "llvm/ADT/SetVector.h" #include "llvm/Analysis/AliasAnalysis.h" #include "llvm/Analysis/AliasSetTracker.h" #include "llvm/Analysis/LoopAnalysisManager.h" #include "llvm/Analysis/ScalarEvolutionExpressions.h" #include "llvm/IR/DiagnosticInfo.h" #include "llvm/IR/ValueHandle.h" #include "llvm/Pass.h" #include "llvm/Support/raw_ostream.h" namespace llvm { class Value; class DataLayout; class ScalarEvolution; class Loop; class SCEV; class SCEVUnionPredicate; class LoopAccessInfo; class OptimizationRemarkEmitter; /// \brief Collection of parameters shared beetween the Loop Vectorizer and the /// Loop Access Analysis. struct VectorizerParams { /// \brief Maximum SIMD width. static const unsigned MaxVectorWidth; /// \brief VF as overridden by the user. static unsigned VectorizationFactor; /// \brief Interleave factor as overridden by the user. static unsigned VectorizationInterleave; /// \brief True if force-vector-interleave was specified by the user. static bool isInterleaveForced(); /// \\brief When performing memory disambiguation checks at runtime do not /// make more than this number of comparisons. static unsigned RuntimeMemoryCheckThreshold; }; /// \brief Checks memory dependences among accesses to the same underlying /// object to determine whether there vectorization is legal or not (and at /// which vectorization factor). /// /// Note: This class will compute a conservative dependence for access to /// different underlying pointers. Clients, such as the loop vectorizer, will /// sometimes deal these potential dependencies by emitting runtime checks. /// /// We use the ScalarEvolution framework to symbolically evalutate access /// functions pairs. Since we currently don't restructure the loop we can rely /// on the program order of memory accesses to determine their safety. /// At the moment we will only deem accesses as safe for: /// * A negative constant distance assuming program order. /// /// Safe: tmp = a[i + 1]; OR a[i + 1] = x; /// a[i] = tmp; y = a[i]; /// /// The latter case is safe because later checks guarantuee that there can't /// be a cycle through a phi node (that is, we check that "x" and "y" is not /// the same variable: a header phi can only be an induction or a reduction, a /// reduction can't have a memory sink, an induction can't have a memory /// source). This is important and must not be violated (or we have to /// resort to checking for cycles through memory). /// /// * A positive constant distance assuming program order that is bigger /// than the biggest memory access. /// /// tmp = a[i] OR b[i] = x /// a[i+2] = tmp y = b[i+2]; /// /// Safe distance: 2 x sizeof(a[0]), and 2 x sizeof(b[0]), respectively. /// /// * Zero distances and all accesses have the same size. /// class MemoryDepChecker { public: typedef PointerIntPair<Value *, 1, bool> MemAccessInfo; typedef SmallVector<MemAccessInfo, 8> MemAccessInfoList; /// \brief Set of potential dependent memory accesses. typedef EquivalenceClasses<MemAccessInfo> DepCandidates; /// \brief Dependece between memory access instructions. struct Dependence { /// \brief The type of the dependence. enum DepType { // No dependence. NoDep, // We couldn't determine the direction or the distance. Unknown, // Lexically forward. // // FIXME: If we only have loop-independent forward dependences (e.g. a // read and write of A[i]), LAA will locally deem the dependence "safe" // without querying the MemoryDepChecker. Therefore we can miss // enumerating loop-independent forward dependences in // getDependences. Note that as soon as there are different // indices used to access the same array, the MemoryDepChecker *is* // queried and the dependence list is complete. Forward, // Forward, but if vectorized, is likely to prevent store-to-load // forwarding. ForwardButPreventsForwarding, // Lexically backward. Backward, // Backward, but the distance allows a vectorization factor of // MaxSafeDepDistBytes. BackwardVectorizable, // Same, but may prevent store-to-load forwarding. BackwardVectorizableButPreventsForwarding }; /// \brief String version of the types. static const char *DepName[]; /// \brief Index of the source of the dependence in the InstMap vector. unsigned Source; /// \brief Index of the destination of the dependence in the InstMap vector. unsigned Destination; /// \brief The type of the dependence. DepType Type; Dependence(unsigned Source, unsigned Destination, DepType Type) : Source(Source), Destination(Destination), Type(Type) {} /// \brief Return the source instruction of the dependence. Instruction *getSource(const LoopAccessInfo &LAI) const; /// \brief Return the destination instruction of the dependence. Instruction *getDestination(const LoopAccessInfo &LAI) const; /// \brief Dependence types that don't prevent vectorization. static bool isSafeForVectorization(DepType Type); /// \brief Lexically forward dependence. bool isForward() const; /// \brief Lexically backward dependence. bool isBackward() const; /// \brief May be a lexically backward dependence type (includes Unknown). bool isPossiblyBackward() const; /// \brief Print the dependence. \p Instr is used to map the instruction /// indices to instructions. void print(raw_ostream &OS, unsigned Depth, const SmallVectorImpl<Instruction *> &Instrs) const; }; MemoryDepChecker(PredicatedScalarEvolution &PSE, const Loop *L) : PSE(PSE), InnermostLoop(L), AccessIdx(0), ShouldRetryWithRuntimeCheck(false), SafeForVectorization(true), RecordDependences(true) {} /// \brief Register the location (instructions are given increasing numbers) /// of a write access. void addAccess(StoreInst *SI) { Value *Ptr = SI->getPointerOperand(); Accesses[MemAccessInfo(Ptr, true)].push_back(AccessIdx); InstMap.push_back(SI); ++AccessIdx; } /// \brief Register the location (instructions are given increasing numbers) /// of a write access. void addAccess(LoadInst *LI) { Value *Ptr = LI->getPointerOperand(); Accesses[MemAccessInfo(Ptr, false)].push_back(AccessIdx); InstMap.push_back(LI); ++AccessIdx; } /// \brief Check whether the dependencies between the accesses are safe. /// /// Only checks sets with elements in \p CheckDeps. bool areDepsSafe(DepCandidates &AccessSets, MemAccessInfoList &CheckDeps, const ValueToValueMap &Strides); /// \brief No memory dependence was encountered that would inhibit /// vectorization. bool isSafeForVectorization() const { return SafeForVectorization; } /// \brief The maximum number of bytes of a vector register we can vectorize /// the accesses safely with. uint64_t getMaxSafeDepDistBytes() { return MaxSafeDepDistBytes; } /// \brief In same cases when the dependency check fails we can still /// vectorize the loop with a dynamic array access check. bool shouldRetryWithRuntimeCheck() { return ShouldRetryWithRuntimeCheck; } /// \brief Returns the memory dependences. If null is returned we exceeded /// the MaxDependences threshold and this information is not /// available. const SmallVectorImpl<Dependence> *getDependences() const { return RecordDependences ? &Dependences : nullptr; } void clearDependences() { Dependences.clear(); } /// \brief The vector of memory access instructions. The indices are used as /// instruction identifiers in the Dependence class. const SmallVectorImpl<Instruction *> &getMemoryInstructions() const { return InstMap; } /// \brief Generate a mapping between the memory instructions and their /// indices according to program order. DenseMap<Instruction *, unsigned> generateInstructionOrderMap() const { DenseMap<Instruction *, unsigned> OrderMap; for (unsigned I = 0; I < InstMap.size(); ++I) OrderMap[InstMap[I]] = I; return OrderMap; } /// \brief Find the set of instructions that read or write via \p Ptr. SmallVector<Instruction *, 4> getInstructionsForAccess(Value *Ptr, bool isWrite) const; private: /// A wrapper around ScalarEvolution, used to add runtime SCEV checks, and /// applies dynamic knowledge to simplify SCEV expressions and convert them /// to a more usable form. We need this in case assumptions about SCEV /// expressions need to be made in order to avoid unknown dependences. For /// example we might assume a unit stride for a pointer in order to prove /// that a memory access is strided and doesn't wrap. PredicatedScalarEvolution &PSE; const Loop *InnermostLoop; /// \brief Maps access locations (ptr, read/write) to program order. DenseMap<MemAccessInfo, std::vector<unsigned> > Accesses; /// \brief Memory access instructions in program order. SmallVector<Instruction *, 16> InstMap; /// \brief The program order index to be used for the next instruction. unsigned AccessIdx; // We can access this many bytes in parallel safely. uint64_t MaxSafeDepDistBytes; /// \brief If we see a non-constant dependence distance we can still try to /// vectorize this loop with runtime checks. bool ShouldRetryWithRuntimeCheck; /// \brief No memory dependence was encountered that would inhibit /// vectorization. bool SafeForVectorization; //// \brief True if Dependences reflects the dependences in the //// loop. If false we exceeded MaxDependences and //// Dependences is invalid. bool RecordDependences; /// \brief Memory dependences collected during the analysis. Only valid if /// RecordDependences is true. SmallVector<Dependence, 8> Dependences; /// \brief Check whether there is a plausible dependence between the two /// accesses. /// /// Access \p A must happen before \p B in program order. The two indices /// identify the index into the program order map. /// /// This function checks whether there is a plausible dependence (or the /// absence of such can't be proved) between the two accesses. If there is a /// plausible dependence but the dependence distance is bigger than one /// element access it records this distance in \p MaxSafeDepDistBytes (if this /// distance is smaller than any other distance encountered so far). /// Otherwise, this function returns true signaling a possible dependence. Dependence::DepType isDependent(const MemAccessInfo &A, unsigned AIdx, const MemAccessInfo &B, unsigned BIdx, const ValueToValueMap &Strides); /// \brief Check whether the data dependence could prevent store-load /// forwarding. /// /// \return false if we shouldn't vectorize at all or avoid larger /// vectorization factors by limiting MaxSafeDepDistBytes. bool couldPreventStoreLoadForward(uint64_t Distance, uint64_t TypeByteSize); }; /// \brief Holds information about the memory runtime legality checks to verify /// that a group of pointers do not overlap. class RuntimePointerChecking { public: struct PointerInfo { /// Holds the pointer value that we need to check. TrackingVH<Value> PointerValue; /// Holds the smallest byte address accessed by the pointer throughout all /// iterations of the loop. const SCEV *Start; /// Holds the largest byte address accessed by the pointer throughout all /// iterations of the loop, plus 1. const SCEV *End; /// Holds the information if this pointer is used for writing to memory. bool IsWritePtr; /// Holds the id of the set of pointers that could be dependent because of a /// shared underlying object. unsigned DependencySetId; /// Holds the id of the disjoint alias set to which this pointer belongs. unsigned AliasSetId; /// SCEV for the access. const SCEV *Expr; PointerInfo(Value *PointerValue, const SCEV *Start, const SCEV *End, bool IsWritePtr, unsigned DependencySetId, unsigned AliasSetId, const SCEV *Expr) : PointerValue(PointerValue), Start(Start), End(End), IsWritePtr(IsWritePtr), DependencySetId(DependencySetId), AliasSetId(AliasSetId), Expr(Expr) {} }; RuntimePointerChecking(ScalarEvolution *SE) : Need(false), SE(SE) {} /// Reset the state of the pointer runtime information. void reset() { Need = false; Pointers.clear(); Checks.clear(); } /// Insert a pointer and calculate the start and end SCEVs. /// We need \p PSE in order to compute the SCEV expression of the pointer /// according to the assumptions that we've made during the analysis. /// The method might also version the pointer stride according to \p Strides, /// and add new predicates to \p PSE. void insert(Loop *Lp, Value *Ptr, bool WritePtr, unsigned DepSetId, unsigned ASId, const ValueToValueMap &Strides, PredicatedScalarEvolution &PSE); /// \brief No run-time memory checking is necessary. bool empty() const { return Pointers.empty(); } /// A grouping of pointers. A single memcheck is required between /// two groups. struct CheckingPtrGroup { /// \brief Create a new pointer checking group containing a single /// pointer, with index \p Index in RtCheck. CheckingPtrGroup(unsigned Index, RuntimePointerChecking &RtCheck) : RtCheck(RtCheck), High(RtCheck.Pointers[Index].End), Low(RtCheck.Pointers[Index].Start) { Members.push_back(Index); } /// \brief Tries to add the pointer recorded in RtCheck at index /// \p Index to this pointer checking group. We can only add a pointer /// to a checking group if we will still be able to get /// the upper and lower bounds of the check. Returns true in case /// of success, false otherwise. bool addPointer(unsigned Index); /// Constitutes the context of this pointer checking group. For each /// pointer that is a member of this group we will retain the index /// at which it appears in RtCheck. RuntimePointerChecking &RtCheck; /// The SCEV expression which represents the upper bound of all the /// pointers in this group. const SCEV *High; /// The SCEV expression which represents the lower bound of all the /// pointers in this group. const SCEV *Low; /// Indices of all the pointers that constitute this grouping. SmallVector<unsigned, 2> Members; }; /// \brief A memcheck which made up of a pair of grouped pointers. /// /// These *have* to be const for now, since checks are generated from /// CheckingPtrGroups in LAI::addRuntimeChecks which is a const member /// function. FIXME: once check-generation is moved inside this class (after /// the PtrPartition hack is removed), we could drop const. typedef std::pair<const CheckingPtrGroup *, const CheckingPtrGroup *> PointerCheck; /// \brief Generate the checks and store it. This also performs the grouping /// of pointers to reduce the number of memchecks necessary. void generateChecks(MemoryDepChecker::DepCandidates &DepCands, bool UseDependencies); /// \brief Returns the checks that generateChecks created. const SmallVector<PointerCheck, 4> &getChecks() const { return Checks; } /// \brief Decide if we need to add a check between two groups of pointers, /// according to needsChecking. bool needsChecking(const CheckingPtrGroup &M, const CheckingPtrGroup &N) const; /// \brief Returns the number of run-time checks required according to /// needsChecking. unsigned getNumberOfChecks() const { return Checks.size(); } /// \brief Print the list run-time memory checks necessary. void print(raw_ostream &OS, unsigned Depth = 0) const; /// Print \p Checks. void printChecks(raw_ostream &OS, const SmallVectorImpl<PointerCheck> &Checks, unsigned Depth = 0) const; /// This flag indicates if we need to add the runtime check. bool Need; /// Information about the pointers that may require checking. SmallVector<PointerInfo, 2> Pointers; /// Holds a partitioning of pointers into "check groups". SmallVector<CheckingPtrGroup, 2> CheckingGroups; /// \brief Check if pointers are in the same partition /// /// \p PtrToPartition contains the partition number for pointers (-1 if the /// pointer belongs to multiple partitions). static bool arePointersInSamePartition(const SmallVectorImpl<int> &PtrToPartition, unsigned PtrIdx1, unsigned PtrIdx2); /// \brief Decide whether we need to issue a run-time check for pointer at /// index \p I and \p J to prove their independence. bool needsChecking(unsigned I, unsigned J) const; /// \brief Return PointerInfo for pointer at index \p PtrIdx. const PointerInfo &getPointerInfo(unsigned PtrIdx) const { return Pointers[PtrIdx]; } private: /// \brief Groups pointers such that a single memcheck is required /// between two different groups. This will clear the CheckingGroups vector /// and re-compute it. We will only group dependecies if \p UseDependencies /// is true, otherwise we will create a separate group for each pointer. void groupChecks(MemoryDepChecker::DepCandidates &DepCands, bool UseDependencies); /// Generate the checks and return them. SmallVector<PointerCheck, 4> generateChecks() const; /// Holds a pointer to the ScalarEvolution analysis. ScalarEvolution *SE; /// \brief Set of run-time checks required to establish independence of /// otherwise may-aliasing pointers in the loop. SmallVector<PointerCheck, 4> Checks; }; /// \brief Drive the analysis of memory accesses in the loop /// /// This class is responsible for analyzing the memory accesses of a loop. It /// collects the accesses and then its main helper the AccessAnalysis class /// finds and categorizes the dependences in buildDependenceSets. /// /// For memory dependences that can be analyzed at compile time, it determines /// whether the dependence is part of cycle inhibiting vectorization. This work /// is delegated to the MemoryDepChecker class. /// /// For memory dependences that cannot be determined at compile time, it /// generates run-time checks to prove independence. This is done by /// AccessAnalysis::canCheckPtrAtRT and the checks are maintained by the /// RuntimePointerCheck class. /// /// If pointers can wrap or can't be expressed as affine AddRec expressions by /// ScalarEvolution, we will generate run-time checks by emitting a /// SCEVUnionPredicate. /// /// Checks for both memory dependences and the SCEV predicates contained in the /// PSE must be emitted in order for the results of this analysis to be valid. class LoopAccessInfo { public: LoopAccessInfo(Loop *L, ScalarEvolution *SE, const TargetLibraryInfo *TLI, AliasAnalysis *AA, DominatorTree *DT, LoopInfo *LI); /// Return true we can analyze the memory accesses in the loop and there are /// no memory dependence cycles. bool canVectorizeMemory() const { return CanVecMem; } const RuntimePointerChecking *getRuntimePointerChecking() const { return PtrRtChecking.get(); } /// \brief Number of memchecks required to prove independence of otherwise /// may-alias pointers. unsigned getNumRuntimePointerChecks() const { return PtrRtChecking->getNumberOfChecks(); } /// Return true if the block BB needs to be predicated in order for the loop /// to be vectorized. static bool blockNeedsPredication(BasicBlock *BB, Loop *TheLoop, DominatorTree *DT); /// Returns true if the value V is uniform within the loop. bool isUniform(Value *V) const; uint64_t getMaxSafeDepDistBytes() const { return MaxSafeDepDistBytes; } unsigned getNumStores() const { return NumStores; } unsigned getNumLoads() const { return NumLoads;} /// \brief Add code that checks at runtime if the accessed arrays overlap. /// /// Returns a pair of instructions where the first element is the first /// instruction generated in possibly a sequence of instructions and the /// second value is the final comparator value or NULL if no check is needed. std::pair<Instruction *, Instruction *> addRuntimeChecks(Instruction *Loc) const; /// \brief Generete the instructions for the checks in \p PointerChecks. /// /// Returns a pair of instructions where the first element is the first /// instruction generated in possibly a sequence of instructions and the /// second value is the final comparator value or NULL if no check is needed. std::pair<Instruction *, Instruction *> addRuntimeChecks(Instruction *Loc, const SmallVectorImpl<RuntimePointerChecking::PointerCheck> &PointerChecks) const; /// \brief The diagnostics report generated for the analysis. E.g. why we /// couldn't analyze the loop. const OptimizationRemarkAnalysis *getReport() const { return Report.get(); } /// \brief the Memory Dependence Checker which can determine the /// loop-independent and loop-carried dependences between memory accesses. const MemoryDepChecker &getDepChecker() const { return *DepChecker; } /// \brief Return the list of instructions that use \p Ptr to read or write /// memory. SmallVector<Instruction *, 4> getInstructionsForAccess(Value *Ptr, bool isWrite) const { return DepChecker->getInstructionsForAccess(Ptr, isWrite); } /// \brief If an access has a symbolic strides, this maps the pointer value to /// the stride symbol. const ValueToValueMap &getSymbolicStrides() const { return SymbolicStrides; } /// \brief Pointer has a symbolic stride. bool hasStride(Value *V) const { return StrideSet.count(V); } /// \brief Print the information about the memory accesses in the loop. void print(raw_ostream &OS, unsigned Depth = 0) const; /// \brief Checks existence of store to invariant address inside loop. /// If the loop has any store to invariant address, then it returns true, /// else returns false. bool hasStoreToLoopInvariantAddress() const { return StoreToLoopInvariantAddress; } /// Used to add runtime SCEV checks. Simplifies SCEV expressions and converts /// them to a more usable form. All SCEV expressions during the analysis /// should be re-written (and therefore simplified) according to PSE. /// A user of LoopAccessAnalysis will need to emit the runtime checks /// associated with this predicate. const PredicatedScalarEvolution &getPSE() const { return *PSE; } private: /// \brief Analyze the loop. void analyzeLoop(AliasAnalysis *AA, LoopInfo *LI, const TargetLibraryInfo *TLI, DominatorTree *DT); /// \brief Check if the structure of the loop allows it to be analyzed by this /// pass. bool canAnalyzeLoop(); /// \brief Save the analysis remark. /// /// LAA does not directly emits the remarks. Instead it stores it which the /// client can retrieve and presents as its own analysis /// (e.g. -Rpass-analysis=loop-vectorize). OptimizationRemarkAnalysis &recordAnalysis(StringRef RemarkName, Instruction *Instr = nullptr); /// \brief Collect memory access with loop invariant strides. /// /// Looks for accesses like "a[i * StrideA]" where "StrideA" is loop /// invariant. void collectStridedAccess(Value *LoadOrStoreInst); std::unique_ptr<PredicatedScalarEvolution> PSE; /// We need to check that all of the pointers in this list are disjoint /// at runtime. Using std::unique_ptr to make using move ctor simpler. std::unique_ptr<RuntimePointerChecking> PtrRtChecking; /// \brief the Memory Dependence Checker which can determine the /// loop-independent and loop-carried dependences between memory accesses. std::unique_ptr<MemoryDepChecker> DepChecker; Loop *TheLoop; unsigned NumLoads; unsigned NumStores; uint64_t MaxSafeDepDistBytes; /// \brief Cache the result of analyzeLoop. bool CanVecMem; /// \brief Indicator for storing to uniform addresses. /// If a loop has write to a loop invariant address then it should be true. bool StoreToLoopInvariantAddress; /// \brief The diagnostics report generated for the analysis. E.g. why we /// couldn't analyze the loop. std::unique_ptr<OptimizationRemarkAnalysis> Report; /// \brief If an access has a symbolic strides, this maps the pointer value to /// the stride symbol. ValueToValueMap SymbolicStrides; /// \brief Set of symbolic strides values. SmallPtrSet<Value *, 8> StrideSet; }; Value *stripIntegerCast(Value *V); /// \brief Return the SCEV corresponding to a pointer with the symbolic stride /// replaced with constant one, assuming the SCEV predicate associated with /// \p PSE is true. /// /// If necessary this method will version the stride of the pointer according /// to \p PtrToStride and therefore add further predicates to \p PSE. /// /// If \p OrigPtr is not null, use it to look up the stride value instead of \p /// Ptr. \p PtrToStride provides the mapping between the pointer value and its /// stride as collected by LoopVectorizationLegality::collectStridedAccess. const SCEV *replaceSymbolicStrideSCEV(PredicatedScalarEvolution &PSE, const ValueToValueMap &PtrToStride, Value *Ptr, Value *OrigPtr = nullptr); /// \brief If the pointer has a constant stride return it in units of its /// element size. Otherwise return zero. /// /// Ensure that it does not wrap in the address space, assuming the predicate /// associated with \p PSE is true. /// /// If necessary this method will version the stride of the pointer according /// to \p PtrToStride and therefore add further predicates to \p PSE. /// The \p Assume parameter indicates if we are allowed to make additional /// run-time assumptions. int64_t getPtrStride(PredicatedScalarEvolution &PSE, Value *Ptr, const Loop *Lp, const ValueToValueMap &StridesMap = ValueToValueMap(), bool Assume = false, bool ShouldCheckWrap = true); /// \brief Returns true if the memory operations \p A and \p B are consecutive. /// This is a simple API that does not depend on the analysis pass. bool isConsecutiveAccess(Value *A, Value *B, const DataLayout &DL, ScalarEvolution &SE, bool CheckType = true); /// \brief This analysis provides dependence information for the memory accesses /// of a loop. /// /// It runs the analysis for a loop on demand. This can be initiated by /// querying the loop access info via LAA::getInfo. getInfo return a /// LoopAccessInfo object. See this class for the specifics of what information /// is provided. class LoopAccessLegacyAnalysis : public FunctionPass { public: static char ID; LoopAccessLegacyAnalysis() : FunctionPass(ID) { initializeLoopAccessLegacyAnalysisPass(*PassRegistry::getPassRegistry()); } bool runOnFunction(Function &F) override; void getAnalysisUsage(AnalysisUsage &AU) const override; /// \brief Query the result of the loop access information for the loop \p L. /// /// If there is no cached result available run the analysis. const LoopAccessInfo &getInfo(Loop *L); void releaseMemory() override { // Invalidate the cache when the pass is freed. LoopAccessInfoMap.clear(); } /// \brief Print the result of the analysis when invoked with -analyze. void print(raw_ostream &OS, const Module *M = nullptr) const override; private: /// \brief The cache. DenseMap<Loop *, std::unique_ptr<LoopAccessInfo>> LoopAccessInfoMap; // The used analysis passes. ScalarEvolution *SE; const TargetLibraryInfo *TLI; AliasAnalysis *AA; DominatorTree *DT; LoopInfo *LI; }; /// \brief This analysis provides dependence information for the memory /// accesses of a loop. /// /// It runs the analysis for a loop on demand. This can be initiated by /// querying the loop access info via AM.getResult<LoopAccessAnalysis>. /// getResult return a LoopAccessInfo object. See this class for the /// specifics of what information is provided. class LoopAccessAnalysis : public AnalysisInfoMixin<LoopAccessAnalysis> { friend AnalysisInfoMixin<LoopAccessAnalysis>; static AnalysisKey Key; public: typedef LoopAccessInfo Result; Result run(Loop &L, LoopAnalysisManager &AM, LoopStandardAnalysisResults &AR); }; inline Instruction *MemoryDepChecker::Dependence::getSource( const LoopAccessInfo &LAI) const { return LAI.getDepChecker().getMemoryInstructions()[Source]; } inline Instruction *MemoryDepChecker::Dependence::getDestination( const LoopAccessInfo &LAI) const { return LAI.getDepChecker().getMemoryInstructions()[Destination]; } } // End llvm namespace #endif