本文整理汇总了C++中DominatorTree类的典型用法代码示例。如果您正苦于以下问题:C++ DominatorTree类的具体用法?C++ DominatorTree怎么用?C++ DominatorTree使用的例子?那么, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了DominatorTree类的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: blockDominatesAnExit
/// Return true if the specified block dominates at least
/// one of the blocks in the specified list.
static bool
blockDominatesAnExit(BasicBlock *BB,
DominatorTree &DT,
const SmallVectorImpl<BasicBlock *> &ExitBlocks) {
DomTreeNode *DomNode = DT.getNode(BB);
return any_of(ExitBlocks, [&](BasicBlock *EB) {
return DT.dominates(DomNode, DT.getNode(EB));
});
}
示例2: assert
void DominatorTree::verifyAnalysis() const {
if (!VerifyDomInfo) return;
Function &F = *getRoot()->getParent();
DominatorTree OtherDT;
OtherDT.getBase().recalculate(F);
assert(!compare(OtherDT) && "Invalid DominatorTree info!");
}
示例3: clearDomtree
static void clearDomtree(Function *F, DominatorTree &DT) {
DomTreeNode *N = DT.getNode(&F->getEntryBlock());
std::vector<BasicBlock *> Nodes;
for (po_iterator<DomTreeNode *> I = po_begin(N), E = po_end(N); I != E; ++I)
Nodes.push_back(I->getBlock());
for (std::vector<BasicBlock *>::iterator I = Nodes.begin(), E = Nodes.end();
I != E; ++I)
DT.eraseNode(*I);
}
示例4: errs
void DominatorTree::verifyAnalysis() const {
if (!VerifyDomInfo) return;
Function &F = *getRoot()->getParent();
DominatorTree OtherDT;
OtherDT.getBase().recalculate(F);
if (compare(OtherDT)) {
errs() << "DominatorTree is not up to date!\nComputed:\n";
print(errs());
errs() << "\nActual:\n";
OtherDT.print(errs());
abort();
}
}
示例5: isHoistableLoad
bool polly::isHoistableLoad(LoadInst *LInst, Region &R, LoopInfo &LI,
ScalarEvolution &SE, const DominatorTree &DT) {
Loop *L = LI.getLoopFor(LInst->getParent());
auto *Ptr = LInst->getPointerOperand();
const SCEV *PtrSCEV = SE.getSCEVAtScope(Ptr, L);
while (L && R.contains(L)) {
if (!SE.isLoopInvariant(PtrSCEV, L))
return false;
L = L->getParentLoop();
}
for (auto *User : Ptr->users()) {
auto *UserI = dyn_cast<Instruction>(User);
if (!UserI || !R.contains(UserI))
continue;
if (!UserI->mayWriteToMemory())
continue;
auto &BB = *UserI->getParent();
bool DominatesAllPredecessors = true;
for (auto Pred : predecessors(R.getExit()))
if (R.contains(Pred) && !DT.dominates(&BB, Pred))
DominatesAllPredecessors = false;
if (!DominatesAllPredecessors)
continue;
return false;
}
return true;
}
示例6: isLCSSAForm
/// isLCSSAForm - Return true if the Loop is in LCSSA form
bool Loop::isLCSSAForm(DominatorTree &DT) const {
// Sort the blocks vector so that we can use binary search to do quick
// lookups.
SmallPtrSet<BasicBlock*, 16> LoopBBs(block_begin(), block_end());
for (block_iterator BI = block_begin(), E = block_end(); BI != E; ++BI) {
BasicBlock *BB = *BI;
for (BasicBlock::iterator I = BB->begin(), E = BB->end(); I != E;++I)
for (Value::use_iterator UI = I->use_begin(), E = I->use_end(); UI != E;
++UI) {
User *U = *UI;
BasicBlock *UserBB = cast<Instruction>(U)->getParent();
if (PHINode *P = dyn_cast<PHINode>(U))
UserBB = P->getIncomingBlock(UI);
// Check the current block, as a fast-path, before checking whether
// the use is anywhere in the loop. Most values are used in the same
// block they are defined in. Also, blocks not reachable from the
// entry are special; uses in them don't need to go through PHIs.
if (UserBB != BB &&
!LoopBBs.count(UserBB) &&
DT.isReachableFromEntry(UserBB))
return false;
}
}
return true;
}
示例7: isBlockInLCSSAForm
// Check that 'BB' doesn't have any uses outside of the 'L'
static bool isBlockInLCSSAForm(const Loop &L, const BasicBlock &BB,
DominatorTree &DT) {
for (const Instruction &I : BB) {
// Tokens can't be used in PHI nodes and live-out tokens prevent loop
// optimizations, so for the purposes of considered LCSSA form, we
// can ignore them.
if (I.getType()->isTokenTy())
continue;
for (const Use &U : I.uses()) {
const Instruction *UI = cast<Instruction>(U.getUser());
const BasicBlock *UserBB = UI->getParent();
if (const PHINode *P = dyn_cast<PHINode>(UI))
UserBB = P->getIncomingBlock(U);
// Check the current block, as a fast-path, before checking whether
// the use is anywhere in the loop. Most values are used in the same
// block they are defined in. Also, blocks not reachable from the
// entry are special; uses in them don't need to go through PHIs.
if (UserBB != &BB && !L.contains(UserBB) &&
DT.isReachableFromEntry(UserBB))
return false;
}
}
return true;
}
示例8: computeBBInlineCost
Function *PartialInlinerImpl::FunctionCloner::doFunctionOutlining() {
// Returns true if the block is to be partial inlined into the caller
// (i.e. not to be extracted to the out of line function)
auto ToBeInlined = [&, this](BasicBlock *BB) {
return BB == ClonedOI->ReturnBlock ||
(std::find(ClonedOI->Entries.begin(), ClonedOI->Entries.end(), BB) !=
ClonedOI->Entries.end());
};
// Gather up the blocks that we're going to extract.
std::vector<BasicBlock *> ToExtract;
ToExtract.push_back(ClonedOI->NonReturnBlock);
OutlinedRegionCost +=
PartialInlinerImpl::computeBBInlineCost(ClonedOI->NonReturnBlock);
for (BasicBlock &BB : *ClonedFunc)
if (!ToBeInlined(&BB) && &BB != ClonedOI->NonReturnBlock) {
ToExtract.push_back(&BB);
// FIXME: the code extractor may hoist/sink more code
// into the outlined function which may make the outlining
// overhead (the difference of the outlined function cost
// and OutliningRegionCost) look larger.
OutlinedRegionCost += computeBBInlineCost(&BB);
}
// The CodeExtractor needs a dominator tree.
DominatorTree DT;
DT.recalculate(*ClonedFunc);
// Manually calculate a BlockFrequencyInfo and BranchProbabilityInfo.
LoopInfo LI(DT);
BranchProbabilityInfo BPI(*ClonedFunc, LI);
ClonedFuncBFI.reset(new BlockFrequencyInfo(*ClonedFunc, BPI, LI));
// Extract the body of the if.
OutlinedFunc = CodeExtractor(ToExtract, &DT, /*AggregateArgs*/ false,
ClonedFuncBFI.get(), &BPI)
.extractCodeRegion();
if (OutlinedFunc) {
OutliningCallBB = PartialInlinerImpl::getOneCallSiteTo(OutlinedFunc)
.getInstruction()
->getParent();
assert(OutliningCallBB->getParent() == ClonedFunc);
}
return OutlinedFunc;
}
示例9: SinkInstruction
/// SinkInstruction - Determine whether it is safe to sink the specified machine
/// instruction out of its current block into a successor.
static bool SinkInstruction(Instruction *Inst,
SmallPtrSetImpl<Instruction *> &Stores,
DominatorTree &DT, LoopInfo &LI, AAResults &AA) {
// Don't sink static alloca instructions. CodeGen assumes allocas outside the
// entry block are dynamically sized stack objects.
if (AllocaInst *AI = dyn_cast<AllocaInst>(Inst))
if (AI->isStaticAlloca())
return false;
// Check if it's safe to move the instruction.
if (!isSafeToMove(Inst, AA, Stores))
return false;
// FIXME: This should include support for sinking instructions within the
// block they are currently in to shorten the live ranges. We often get
// instructions sunk into the top of a large block, but it would be better to
// also sink them down before their first use in the block. This xform has to
// be careful not to *increase* register pressure though, e.g. sinking
// "x = y + z" down if it kills y and z would increase the live ranges of y
// and z and only shrink the live range of x.
// SuccToSinkTo - This is the successor to sink this instruction to, once we
// decide.
BasicBlock *SuccToSinkTo = nullptr;
// Instructions can only be sunk if all their uses are in blocks
// dominated by one of the successors.
// Look at all the dominated blocks and see if we can sink it in one.
DomTreeNode *DTN = DT.getNode(Inst->getParent());
for (DomTreeNode::iterator I = DTN->begin(), E = DTN->end();
I != E && SuccToSinkTo == nullptr; ++I) {
BasicBlock *Candidate = (*I)->getBlock();
// A node always immediate-dominates its children on the dominator
// tree.
if (IsAcceptableTarget(Inst, Candidate, DT, LI))
SuccToSinkTo = Candidate;
}
// If no suitable postdominator was found, look at all the successors and
// decide which one we should sink to, if any.
for (succ_iterator I = succ_begin(Inst->getParent()),
E = succ_end(Inst->getParent()); I != E && !SuccToSinkTo; ++I) {
if (IsAcceptableTarget(Inst, *I, DT, LI))
SuccToSinkTo = *I;
}
// If we couldn't find a block to sink to, ignore this instruction.
if (!SuccToSinkTo)
return false;
LLVM_DEBUG(dbgs() << "Sink" << *Inst << " (";
Inst->getParent()->printAsOperand(dbgs(), false); dbgs() << " -> ";
SuccToSinkTo->printAsOperand(dbgs(), false); dbgs() << ")\n");
// Move the instruction.
Inst->moveBefore(&*SuccToSinkTo->getFirstInsertionPt());
return true;
}
示例10: isAsynchronousEHPersonality
bool SanitizerCoverageModule::runOnFunction(Function &F) {
if (F.empty()) return false;
if (F.getName().find(".module_ctor") != std::string::npos)
return false; // Should not instrument sanitizer init functions.
// Don't instrument functions using SEH for now. Splitting basic blocks like
// we do for coverage breaks WinEHPrepare.
// FIXME: Remove this when SEH no longer uses landingpad pattern matching.
if (F.hasPersonalityFn() &&
isAsynchronousEHPersonality(classifyEHPersonality(F.getPersonalityFn())))
return false;
if (Options.CoverageType >= SanitizerCoverageOptions::SCK_Edge)
SplitAllCriticalEdges(F);
SmallVector<Instruction*, 8> IndirCalls;
SmallVector<BasicBlock *, 16> BlocksToInstrument;
SmallVector<Instruction*, 8> CmpTraceTargets;
SmallVector<Instruction*, 8> SwitchTraceTargets;
DominatorTree DT;
DT.recalculate(F);
for (auto &BB : F) {
if (shouldInstrumentBlock(&BB, &DT))
BlocksToInstrument.push_back(&BB);
for (auto &Inst : BB) {
if (Options.IndirectCalls) {
CallSite CS(&Inst);
if (CS && !CS.getCalledFunction())
IndirCalls.push_back(&Inst);
}
if (Options.TraceCmp) {
if (isa<ICmpInst>(&Inst))
CmpTraceTargets.push_back(&Inst);
if (isa<SwitchInst>(&Inst))
SwitchTraceTargets.push_back(&Inst);
}
}
}
InjectCoverage(F, BlocksToInstrument);
InjectCoverageForIndirectCalls(F, IndirCalls);
InjectTraceForCmp(F, CmpTraceTargets);
InjectTraceForSwitch(F, SwitchTraceTargets);
return true;
}
示例11: F
OptimizationRemarkEmitter::OptimizationRemarkEmitter(const Function *F)
: F(F), BFI(nullptr) {
if (!F->getContext().getDiagnosticHotnessRequested())
return;
// First create a dominator tree.
DominatorTree DT;
DT.recalculate(*const_cast<Function *>(F));
// Generate LoopInfo from it.
LoopInfo LI;
LI.analyze(DT);
// Then compute BranchProbabilityInfo.
BranchProbabilityInfo BPI;
BPI.calculate(*F, LI);
// Finally compute BFI.
OwnedBFI = llvm::make_unique<BlockFrequencyInfo>(*F, BPI, LI);
BFI = OwnedBFI.get();
}
示例12: containsUnconditionalCallSafepoint
/// Returns true if this loop is known to contain a call safepoint which
/// must unconditionally execute on any iteration of the loop which returns
/// to the loop header via an edge from Pred. Returns a conservative correct
/// answer; i.e. false is always valid.
static bool containsUnconditionalCallSafepoint(Loop *L, BasicBlock *Header,
BasicBlock *Pred,
DominatorTree &DT,
const TargetLibraryInfo &TLI) {
// In general, we're looking for any cut of the graph which ensures
// there's a call safepoint along every edge between Header and Pred.
// For the moment, we look only for the 'cuts' that consist of a single call
// instruction in a block which is dominated by the Header and dominates the
// loop latch (Pred) block. Somewhat surprisingly, walking the entire chain
// of such dominating blocks gets substantially more occurrences than just
// checking the Pred and Header blocks themselves. This may be due to the
// density of loop exit conditions caused by range and null checks.
// TODO: structure this as an analysis pass, cache the result for subloops,
// avoid dom tree recalculations
assert(DT.dominates(Header, Pred) && "loop latch not dominated by header?");
BasicBlock *Current = Pred;
while (true) {
for (Instruction &I : *Current) {
if (auto CS = CallSite(&I))
// Note: Technically, needing a safepoint isn't quite the right
// condition here. We should instead be checking if the target method
// has an
// unconditional poll. In practice, this is only a theoretical concern
// since we don't have any methods with conditional-only safepoint
// polls.
if (needsStatepoint(CS, TLI))
return true;
}
if (Current == Header)
break;
Current = DT.getNode(Current)->getIDom()->getBlock();
}
return false;
}
示例13: findBBsToSinkInto
/// Return a set of basic blocks to insert sinked instructions.
///
/// The returned set of basic blocks (BBsToSinkInto) should satisfy:
///
/// * Inside the loop \p L
/// * For each UseBB in \p UseBBs, there is at least one BB in BBsToSinkInto
/// that domintates the UseBB
/// * Has minimum total frequency that is no greater than preheader frequency
///
/// The purpose of the function is to find the optimal sinking points to
/// minimize execution cost, which is defined as "sum of frequency of
/// BBsToSinkInto".
/// As a result, the returned BBsToSinkInto needs to have minimum total
/// frequency.
/// Additionally, if the total frequency of BBsToSinkInto exceeds preheader
/// frequency, the optimal solution is not sinking (return empty set).
///
/// \p ColdLoopBBs is used to help find the optimal sinking locations.
/// It stores a list of BBs that is:
///
/// * Inside the loop \p L
/// * Has a frequency no larger than the loop's preheader
/// * Sorted by BB frequency
///
/// The complexity of the function is O(UseBBs.size() * ColdLoopBBs.size()).
/// To avoid expensive computation, we cap the maximum UseBBs.size() in its
/// caller.
static SmallPtrSet<BasicBlock *, 2>
findBBsToSinkInto(const Loop &L, const SmallPtrSetImpl<BasicBlock *> &UseBBs,
const SmallVectorImpl<BasicBlock *> &ColdLoopBBs,
DominatorTree &DT, BlockFrequencyInfo &BFI) {
SmallPtrSet<BasicBlock *, 2> BBsToSinkInto;
if (UseBBs.size() == 0)
return BBsToSinkInto;
BBsToSinkInto.insert(UseBBs.begin(), UseBBs.end());
SmallPtrSet<BasicBlock *, 2> BBsDominatedByColdestBB;
// For every iteration:
// * Pick the ColdestBB from ColdLoopBBs
// * Find the set BBsDominatedByColdestBB that satisfy:
// - BBsDominatedByColdestBB is a subset of BBsToSinkInto
// - Every BB in BBsDominatedByColdestBB is dominated by ColdestBB
// * If Freq(ColdestBB) < Freq(BBsDominatedByColdestBB), remove
// BBsDominatedByColdestBB from BBsToSinkInto, add ColdestBB to
// BBsToSinkInto
for (BasicBlock *ColdestBB : ColdLoopBBs) {
BBsDominatedByColdestBB.clear();
for (BasicBlock *SinkedBB : BBsToSinkInto)
if (DT.dominates(ColdestBB, SinkedBB))
BBsDominatedByColdestBB.insert(SinkedBB);
if (BBsDominatedByColdestBB.size() == 0)
continue;
if (adjustedSumFreq(BBsDominatedByColdestBB, BFI) >
BFI.getBlockFreq(ColdestBB)) {
for (BasicBlock *DominatedBB : BBsDominatedByColdestBB) {
BBsToSinkInto.erase(DominatedBB);
}
BBsToSinkInto.insert(ColdestBB);
}
}
// If the total frequency of BBsToSinkInto is larger than preheader frequency,
// do not sink.
if (adjustedSumFreq(BBsToSinkInto, BFI) >
BFI.getBlockFreq(L.getLoopPreheader()))
BBsToSinkInto.clear();
return BBsToSinkInto;
}
示例14: IsAcceptableTarget
/// IsAcceptableTarget - Return true if it is possible to sink the instruction
/// in the specified basic block.
static bool IsAcceptableTarget(Instruction *Inst, BasicBlock *SuccToSinkTo,
DominatorTree &DT, LoopInfo &LI) {
assert(Inst && "Instruction to be sunk is null");
assert(SuccToSinkTo && "Candidate sink target is null");
// It is not possible to sink an instruction into its own block. This can
// happen with loops.
if (Inst->getParent() == SuccToSinkTo)
return false;
// It's never legal to sink an instruction into a block which terminates in an
// EH-pad.
if (SuccToSinkTo->getTerminator()->isExceptionalTerminator())
return false;
// If the block has multiple predecessors, this would introduce computation
// on different code paths. We could split the critical edge, but for now we
// just punt.
// FIXME: Split critical edges if not backedges.
if (SuccToSinkTo->getUniquePredecessor() != Inst->getParent()) {
// We cannot sink a load across a critical edge - there may be stores in
// other code paths.
if (Inst->mayReadFromMemory())
return false;
// We don't want to sink across a critical edge if we don't dominate the
// successor. We could be introducing calculations to new code paths.
if (!DT.dominates(Inst->getParent(), SuccToSinkTo))
return false;
// Don't sink instructions into a loop.
Loop *succ = LI.getLoopFor(SuccToSinkTo);
Loop *cur = LI.getLoopFor(Inst->getParent());
if (succ != nullptr && succ != cur)
return false;
}
// Finally, check that all the uses of the instruction are actually
// dominated by the candidate
return AllUsesDominatedByBlock(Inst, SuccToSinkTo, DT);
}
示例15: AllUsesDominatedByBlock
/// AllUsesDominatedByBlock - Return true if all uses of the specified value
/// occur in blocks dominated by the specified block.
static bool AllUsesDominatedByBlock(Instruction *Inst, BasicBlock *BB,
DominatorTree &DT) {
// Ignoring debug uses is necessary so debug info doesn't affect the code.
// This may leave a referencing dbg_value in the original block, before
// the definition of the vreg. Dwarf generator handles this although the
// user might not get the right info at runtime.
for (Use &U : Inst->uses()) {
// Determine the block of the use.
Instruction *UseInst = cast<Instruction>(U.getUser());
BasicBlock *UseBlock = UseInst->getParent();
if (PHINode *PN = dyn_cast<PHINode>(UseInst)) {
// PHI nodes use the operand in the predecessor block, not the block with
// the PHI.
unsigned Num = PHINode::getIncomingValueNumForOperand(U.getOperandNo());
UseBlock = PN->getIncomingBlock(Num);
}
// Check that it dominates.
if (!DT.dominates(BB, UseBlock))
return false;
}
return true;
}