[LoopAccesses] Cache the result of canVectorizeMemory

LAA will be an on-demand analysis pass, so we need to cache the result
of the analysis.  canVectorizeMemory is renamed to analyzeLoop which
computes the result.  canVectorizeMemory becomes the query function for
the cached result.

This is part of the patchset that converts LoopAccessAnalysis into an
actual analysis pass.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@229624 91177308-0d34-0410-b5e6-96231b3b80d8
This commit is contained in:
Adam Nemet 2015-02-18 03:42:57 +00:00
parent 8b0647f26b
commit 14cc2e25c5
3 changed files with 31 additions and 18 deletions

View File

@ -134,11 +134,14 @@ public:
const TargetLibraryInfo *TLI, AliasAnalysis *AA,
DominatorTree *DT) :
TheLoop(L), SE(SE), DL(DL), TLI(TLI), AA(AA), DT(DT), NumLoads(0),
NumStores(0), MaxSafeDepDistBytes(-1U) {}
NumStores(0), MaxSafeDepDistBytes(-1U), CanVecMem(false) {}
/// \brief Analyze the loop. Replaces symbolic strides using Strides.
void analyzeLoop(ValueToValueMap &Strides);
/// Return true we can analyze the memory accesses in the loop and there are
/// no memory dependence cycles. Replaces symbolic strides using Strides.
bool canVectorizeMemory(ValueToValueMap &Strides);
/// no memory dependence cycles.
bool canVectorizeMemory() { return CanVecMem; }
RuntimePointerCheck *getRuntimePointerCheck() { return &PtrRtCheck; }
@ -182,6 +185,9 @@ private:
unsigned MaxSafeDepDistBytes;
/// \brief Cache the result of analyzeLoop.
bool CanVecMem;
/// \brief The diagnostics report generated for the analysis. E.g. why we
/// couldn't analyze the loop.
Optional<VectorizationReport> Report;

View File

@ -812,7 +812,7 @@ bool MemoryDepChecker::areDepsSafe(AccessAnalysis::DepCandidates &AccessSets,
return true;
}
bool LoopAccessInfo::canVectorizeMemory(ValueToValueMap &Strides) {
void LoopAccessInfo::analyzeLoop(ValueToValueMap &Strides) {
typedef SmallVector<Value*, 16> ValueVector;
typedef SmallPtrSet<Value*, 16> ValueSet;
@ -855,7 +855,8 @@ bool LoopAccessInfo::canVectorizeMemory(ValueToValueMap &Strides) {
emitAnalysis(VectorizationReport(Ld)
<< "read with atomic ordering or volatile read");
DEBUG(dbgs() << "LV: Found a non-simple load.\n");
return false;
CanVecMem = false;
return;
}
NumLoads++;
Loads.push_back(Ld);
@ -869,13 +870,15 @@ bool LoopAccessInfo::canVectorizeMemory(ValueToValueMap &Strides) {
if (!St) {
emitAnalysis(VectorizationReport(it) <<
"instruction cannot be vectorized");
return false;
CanVecMem = false;
return;
}
if (!St->isSimple() && !IsAnnotatedParallel) {
emitAnalysis(VectorizationReport(St)
<< "write with atomic ordering or volatile write");
DEBUG(dbgs() << "LV: Found a non-simple store.\n");
return false;
CanVecMem = false;
return;
}
NumStores++;
Stores.push_back(St);
@ -891,7 +894,8 @@ bool LoopAccessInfo::canVectorizeMemory(ValueToValueMap &Strides) {
// care if the pointers are *restrict*.
if (!Stores.size()) {
DEBUG(dbgs() << "LV: Found a read-only loop!\n");
return true;
CanVecMem = true;
return;
}
AccessAnalysis::DepCandidates DependentAccesses;
@ -914,7 +918,8 @@ bool LoopAccessInfo::canVectorizeMemory(ValueToValueMap &Strides) {
VectorizationReport(ST)
<< "write to a loop invariant address could not be vectorized");
DEBUG(dbgs() << "LV: We don't allow storing to uniform addresses\n");
return false;
CanVecMem = false;
return;
}
// If we did *not* see this pointer before, insert it to the read-write
@ -937,7 +942,8 @@ bool LoopAccessInfo::canVectorizeMemory(ValueToValueMap &Strides) {
DEBUG(dbgs()
<< "LV: A loop annotated parallel, ignore memory dependency "
<< "checks.\n");
return true;
CanVecMem = true;
return;
}
for (I = Loads.begin(), IE = Loads.end(); I != IE; ++I) {
@ -972,7 +978,8 @@ bool LoopAccessInfo::canVectorizeMemory(ValueToValueMap &Strides) {
// other reads in this loop then is it safe to vectorize.
if (NumReadWrites == 1 && NumReads == 0) {
DEBUG(dbgs() << "LV: Found a write-only loop!\n");
return true;
CanVecMem = true;
return;
}
// Build dependence sets and check whether we need a runtime pointer bounds
@ -1013,12 +1020,13 @@ bool LoopAccessInfo::canVectorizeMemory(ValueToValueMap &Strides) {
DEBUG(dbgs() << "LV: We can't vectorize because we can't find " <<
"the array bounds.\n");
PtrRtCheck.reset();
return false;
CanVecMem = false;
return;
}
PtrRtCheck.Need = NeedRTCheck;
bool CanVecMem = true;
CanVecMem = true;
if (Accesses.isDependencyCheckNeeded()) {
DEBUG(dbgs() << "LV: Checking memory dependencies\n");
CanVecMem = DepChecker.areDepsSafe(
@ -1051,7 +1059,8 @@ bool LoopAccessInfo::canVectorizeMemory(ValueToValueMap &Strides) {
<< " dependent memory operations checked at runtime");
DEBUG(dbgs() << "LV: Can't vectorize with memory checks\n");
PtrRtCheck.reset();
return false;
CanVecMem = false;
return;
}
CanVecMem = true;
@ -1064,8 +1073,6 @@ bool LoopAccessInfo::canVectorizeMemory(ValueToValueMap &Strides) {
DEBUG(dbgs() << "LV: We" << (NeedRTCheck ? "" : " don't") <<
" need a runtime memory check.\n");
return CanVecMem;
}
bool LoopAccessInfo::blockNeedsPredication(BasicBlock *BB) {

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@ -3825,11 +3825,11 @@ void LoopVectorizationLegality::collectLoopUniforms() {
}
bool LoopVectorizationLegality::canVectorizeMemory() {
bool Success = LAI.canVectorizeMemory(Strides);
LAI.analyzeLoop(Strides);
auto &OptionalReport = LAI.getReport();
if (OptionalReport)
emitAnalysis(*OptionalReport);
return Success;
return LAI.canVectorizeMemory();
}
static bool hasMultipleUsesOf(Instruction *I,