bool SIDebuggerInsertNops::runOnMachineFunction(MachineFunction &MF) {
// Skip this pass if "amdgpu-debugger-insert-nops" attribute was not
// specified.
const AMDGPUSubtarget &ST = MF.getSubtarget<AMDGPUSubtarget>();
if (!ST.debuggerInsertNops())
return false;
// Skip machine functions without debug info.
if (!MF.getMMI().hasDebugInfo())
return false;
// Target instruction info.
const SIInstrInfo *TII =
static_cast<const SIInstrInfo*>(MF.getSubtarget().getInstrInfo());
// Set containing line numbers that have nop inserted.
DenseSet<unsigned> NopInserted;
for (auto &MBB : MF) {
for (auto MI = MBB.begin(); MI != MBB.end(); ++MI) {
// Skip DBG_VALUE instructions and instructions without location.
if (MI->isDebugValue() || !MI->getDebugLoc())
continue;
// Insert nop instruction if line number does not have nop inserted.
auto DL = MI->getDebugLoc();
if (NopInserted.find(DL.getLine()) == NopInserted.end()) {
BuildMI(MBB, *MI, DL, TII->get(AMDGPU::S_NOP))
.addImm(0);
NopInserted.insert(DL.getLine());
}
}
}
return true;
}
/// \brief Figure out if the loop is worth full unrolling.
///
/// Complete loop unrolling can make some loads constant, and we need to know
/// if that would expose any further optimization opportunities. This routine
/// estimates this optimization. It computes cost of unrolled loop
/// (UnrolledCost) and dynamic cost of the original loop (RolledDynamicCost). By
/// dynamic cost we mean that we won't count costs of blocks that are known not
/// to be executed (i.e. if we have a branch in the loop and we know that at the
/// given iteration its condition would be resolved to true, we won't add up the
/// cost of the 'false'-block).
/// \returns Optional value, holding the RolledDynamicCost and UnrolledCost. If
/// the analysis failed (no benefits expected from the unrolling, or the loop is
/// too big to analyze), the returned value is None.
static Optional<EstimatedUnrollCost>
analyzeLoopUnrollCost(const Loop *L, unsigned TripCount, DominatorTree &DT,
ScalarEvolution &SE, const TargetTransformInfo &TTI,
int MaxUnrolledLoopSize) {
// We want to be able to scale offsets by the trip count and add more offsets
// to them without checking for overflows, and we already don't want to
// analyze *massive* trip counts, so we force the max to be reasonably small.
assert(UnrollMaxIterationsCountToAnalyze < (INT_MAX / 2) &&
"The unroll iterations max is too large!");
// Only analyze inner loops. We can't properly estimate cost of nested loops
// and we won't visit inner loops again anyway.
if (!L->empty())
return None;
// Don't simulate loops with a big or unknown tripcount
if (!UnrollMaxIterationsCountToAnalyze || !TripCount ||
TripCount > UnrollMaxIterationsCountToAnalyze)
return None;
SmallSetVector<BasicBlock *, 16> BBWorklist;
SmallSetVector<std::pair<BasicBlock *, BasicBlock *>, 4> ExitWorklist;
DenseMap<Value *, Constant *> SimplifiedValues;
SmallVector<std::pair<Value *, Constant *>, 4> SimplifiedInputValues;
// The estimated cost of the unrolled form of the loop. We try to estimate
// this by simplifying as much as we can while computing the estimate.
int UnrolledCost = 0;
// We also track the estimated dynamic (that is, actually executed) cost in
// the rolled form. This helps identify cases when the savings from unrolling
// aren't just exposing dead control flows, but actual reduced dynamic
// instructions due to the simplifications which we expect to occur after
// unrolling.
int RolledDynamicCost = 0;
// We track the simplification of each instruction in each iteration. We use
// this to recursively merge costs into the unrolled cost on-demand so that
// we don't count the cost of any dead code. This is essentially a map from
// <instruction, int> to <bool, bool>, but stored as a densely packed struct.
DenseSet<UnrolledInstState, UnrolledInstStateKeyInfo> InstCostMap;
// A small worklist used to accumulate cost of instructions from each
// observable and reached root in the loop.
SmallVector<Instruction *, 16> CostWorklist;
// PHI-used worklist used between iterations while accumulating cost.
SmallVector<Instruction *, 4> PHIUsedList;
// Helper function to accumulate cost for instructions in the loop.
auto AddCostRecursively = [&](Instruction &RootI, int Iteration) {
assert(Iteration >= 0 && "Cannot have a negative iteration!");
assert(CostWorklist.empty() && "Must start with an empty cost list");
assert(PHIUsedList.empty() && "Must start with an empty phi used list");
CostWorklist.push_back(&RootI);
for (;; --Iteration) {
do {
Instruction *I = CostWorklist.pop_back_val();
// InstCostMap only uses I and Iteration as a key, the other two values
// don't matter here.
auto CostIter = InstCostMap.find({I, Iteration, 0, 0});
if (CostIter == InstCostMap.end())
// If an input to a PHI node comes from a dead path through the loop
// we may have no cost data for it here. What that actually means is
// that it is free.
continue;
auto &Cost = *CostIter;
if (Cost.IsCounted)
// Already counted this instruction.
continue;
// Mark that we are counting the cost of this instruction now.
Cost.IsCounted = true;
// If this is a PHI node in the loop header, just add it to the PHI set.
if (auto *PhiI = dyn_cast<PHINode>(I))
if (PhiI->getParent() == L->getHeader()) {
assert(Cost.IsFree && "Loop PHIs shouldn't be evaluated as they "
"inherently simplify during unrolling.");
if (Iteration == 0)
continue;
// Push the incoming value from the backedge into the PHI used list
// if it is an in-loop instruction. We'll use this to populate the
// cost worklist for the next iteration (as we count backwards).
if (auto *OpI = dyn_cast<Instruction>(
PhiI->getIncomingValueForBlock(L->getLoopLatch())))
if (L->contains(OpI))
PHIUsedList.push_back(OpI);
continue;
}
// First accumulate the cost of this instruction.
if (!Cost.IsFree) {
UnrolledCost += TTI.getUserCost(I);
DEBUG(dbgs() << "Adding cost of instruction (iteration " << Iteration
<< "): ");
DEBUG(I->dump());
}
// We must count the cost of every operand which is not free,
// recursively. If we reach a loop PHI node, simply add it to the set
// to be considered on the next iteration (backwards!).
for (Value *Op : I->operands()) {
// Check whether this operand is free due to being a constant or
// outside the loop.
auto *OpI = dyn_cast<Instruction>(Op);
if (!OpI || !L->contains(OpI))
continue;
// Otherwise accumulate its cost.
CostWorklist.push_back(OpI);
}
} while (!CostWorklist.empty());
if (PHIUsedList.empty())
// We've exhausted the search.
break;
assert(Iteration > 0 &&
"Cannot track PHI-used values past the first iteration!");
CostWorklist.append(PHIUsedList.begin(), PHIUsedList.end());
PHIUsedList.clear();
}
};
// Ensure that we don't violate the loop structure invariants relied on by
// this analysis.
assert(L->isLoopSimplifyForm() && "Must put loop into normal form first.");
assert(L->isLCSSAForm(DT) &&
"Must have loops in LCSSA form to track live-out values.");
DEBUG(dbgs() << "Starting LoopUnroll profitability analysis...\n");
// Simulate execution of each iteration of the loop counting instructions,
// which would be simplified.
// Since the same load will take different values on different iterations,
// we literally have to go through all loop's iterations.
for (unsigned Iteration = 0; Iteration < TripCount; ++Iteration) {
DEBUG(dbgs() << " Analyzing iteration " << Iteration << "\n");
// Prepare for the iteration by collecting any simplified entry or backedge
// inputs.
for (Instruction &I : *L->getHeader()) {
auto *PHI = dyn_cast<PHINode>(&I);
if (!PHI)
break;
// The loop header PHI nodes must have exactly two input: one from the
// loop preheader and one from the loop latch.
assert(
PHI->getNumIncomingValues() == 2 &&
"Must have an incoming value only for the preheader and the latch.");
Value *V = PHI->getIncomingValueForBlock(
Iteration == 0 ? L->getLoopPreheader() : L->getLoopLatch());
Constant *C = dyn_cast<Constant>(V);
if (Iteration != 0 && !C)
C = SimplifiedValues.lookup(V);
if (C)
SimplifiedInputValues.push_back({PHI, C});
}
// Now clear and re-populate the map for the next iteration.
SimplifiedValues.clear();
while (!SimplifiedInputValues.empty())
SimplifiedValues.insert(SimplifiedInputValues.pop_back_val());
UnrolledInstAnalyzer Analyzer(Iteration, SimplifiedValues, SE, L);
BBWorklist.clear();
BBWorklist.insert(L->getHeader());
// Note that we *must not* cache the size, this loop grows the worklist.
for (unsigned Idx = 0; Idx != BBWorklist.size(); ++Idx) {
BasicBlock *BB = BBWorklist[Idx];
// Visit all instructions in the given basic block and try to simplify
// it. We don't change the actual IR, just count optimization
// opportunities.
for (Instruction &I : *BB) {
// Track this instruction's expected baseline cost when executing the
// rolled loop form.
RolledDynamicCost += TTI.getUserCost(&I);
// Visit the instruction to analyze its loop cost after unrolling,
// and if the visitor returns true, mark the instruction as free after
// unrolling and continue.
bool IsFree = Analyzer.visit(I);
bool Inserted = InstCostMap.insert({&I, (int)Iteration,
(unsigned)IsFree,
/*IsCounted*/ false}).second;
(void)Inserted;
assert(Inserted && "Cannot have a state for an unvisited instruction!");
if (IsFree)
continue;
// If the instruction might have a side-effect recursively account for
// the cost of it and all the instructions leading up to it.
if (I.mayHaveSideEffects())
AddCostRecursively(I, Iteration);
// Can't properly model a cost of a call.
// FIXME: With a proper cost model we should be able to do it.
if(isa<CallInst>(&I))
return None;
// If unrolled body turns out to be too big, bail out.
if (UnrolledCost > MaxUnrolledLoopSize) {
DEBUG(dbgs() << " Exceeded threshold.. exiting.\n"
<< " UnrolledCost: " << UnrolledCost
<< ", MaxUnrolledLoopSize: " << MaxUnrolledLoopSize
<< "\n");
return None;
}
}
TerminatorInst *TI = BB->getTerminator();
// Add in the live successors by first checking whether we have terminator
// that may be simplified based on the values simplified by this call.
BasicBlock *KnownSucc = nullptr;
if (BranchInst *BI = dyn_cast<BranchInst>(TI)) {
if (BI->isConditional()) {
if (Constant *SimpleCond =
SimplifiedValues.lookup(BI->getCondition())) {
// Just take the first successor if condition is undef
if (isa<UndefValue>(SimpleCond))
KnownSucc = BI->getSuccessor(0);
else if (ConstantInt *SimpleCondVal =
dyn_cast<ConstantInt>(SimpleCond))
KnownSucc = BI->getSuccessor(SimpleCondVal->isZero() ? 1 : 0);
}
}
} else if (SwitchInst *SI = dyn_cast<SwitchInst>(TI)) {
if (Constant *SimpleCond =
SimplifiedValues.lookup(SI->getCondition())) {
// Just take the first successor if condition is undef
if (isa<UndefValue>(SimpleCond))
KnownSucc = SI->getSuccessor(0);
else if (ConstantInt *SimpleCondVal =
dyn_cast<ConstantInt>(SimpleCond))
KnownSucc = SI->findCaseValue(SimpleCondVal).getCaseSuccessor();
}
}
if (KnownSucc) {
if (L->contains(KnownSucc))
BBWorklist.insert(KnownSucc);
else
ExitWorklist.insert({BB, KnownSucc});
continue;
}
// Add BB's successors to the worklist.
for (BasicBlock *Succ : successors(BB))
if (L->contains(Succ))
BBWorklist.insert(Succ);
else
ExitWorklist.insert({BB, Succ});
AddCostRecursively(*TI, Iteration);
}
// If we found no optimization opportunities on the first iteration, we
// won't find them on later ones too.
if (UnrolledCost == RolledDynamicCost) {
DEBUG(dbgs() << " No opportunities found.. exiting.\n"
<< " UnrolledCost: " << UnrolledCost << "\n");
return None;
}
}
while (!ExitWorklist.empty()) {
BasicBlock *ExitingBB, *ExitBB;
std::tie(ExitingBB, ExitBB) = ExitWorklist.pop_back_val();
for (Instruction &I : *ExitBB) {
auto *PN = dyn_cast<PHINode>(&I);
if (!PN)
break;
Value *Op = PN->getIncomingValueForBlock(ExitingBB);
if (auto *OpI = dyn_cast<Instruction>(Op))
if (L->contains(OpI))
AddCostRecursively(*OpI, TripCount - 1);
}
}
DEBUG(dbgs() << "Analysis finished:\n"
<< "UnrolledCost: " << UnrolledCost << ", "
<< "RolledDynamicCost: " << RolledDynamicCost << "\n");
return {{UnrolledCost, RolledDynamicCost}};
}
MCFunction
MCFunction::createFunctionFromMC(StringRef Name, const MCDisassembler *DisAsm,
const MemoryObject &Region, uint64_t Start,
uint64_t End, const MCInstrAnalysis *Ana,
raw_ostream &DebugOut,
SmallVectorImpl<uint64_t> &Calls) {
std::vector<MCDecodedInst> Instructions;
std::set<uint64_t> Splits;
Splits.insert(Start);
uint64_t Size;
MCFunction f(Name);
{
DenseSet<uint64_t> VisitedInsts;
SmallVector<uint64_t, 16> WorkList;
WorkList.push_back(Start);
// Disassemble code and gather basic block split points.
while (!WorkList.empty()) {
uint64_t Index = WorkList.pop_back_val();
if (VisitedInsts.find(Index) != VisitedInsts.end())
continue; // Already visited this location.
for (;Index < End; Index += Size) {
VisitedInsts.insert(Index);
MCInst Inst;
if (DisAsm->getInstruction(Inst, Size, Region, Index, DebugOut, nulls())){
Instructions.push_back(MCDecodedInst(Index, Size, Inst));
if (Ana->isBranch(Inst)) {
uint64_t targ = Ana->evaluateBranch(Inst, Index, Size);
if (targ != -1ULL && targ == Index+Size)
continue; // Skip nop jumps.
// If we could determine the branch target, make a note to start a
// new basic block there and add the target to the worklist.
if (targ != -1ULL) {
Splits.insert(targ);
WorkList.push_back(targ);
WorkList.push_back(Index+Size);
}
Splits.insert(Index+Size);
break;
} else if (Ana->isReturn(Inst)) {
// Return instruction. This basic block ends here.
Splits.insert(Index+Size);
break;
} else if (Ana->isCall(Inst)) {
uint64_t targ = Ana->evaluateBranch(Inst, Index, Size);
// Add the call to the call list if the destination is known.
if (targ != -1ULL && targ != Index+Size)
Calls.push_back(targ);
}
} else {
errs().write_hex(Index) << ": warning: invalid instruction encoding\n";
if (Size == 0)
Size = 1; // skip illegible bytes
}
}
}
}
// Make sure the instruction list is sorted.
std::sort(Instructions.begin(), Instructions.end());
// Create basic blocks.
unsigned ii = 0, ie = Instructions.size();
for (std::set<uint64_t>::iterator spi = Splits.begin(),
spe = llvm::prior(Splits.end()); spi != spe; ++spi) {
MCBasicBlock BB;
uint64_t BlockEnd = *llvm::next(spi);
// Add instructions to the BB.
for (; ii != ie; ++ii) {
if (Instructions[ii].Address < *spi ||
Instructions[ii].Address >= BlockEnd)
break;
BB.addInst(Instructions[ii]);
}
f.addBlock(*spi, BB);
}
std::sort(f.Blocks.begin(), f.Blocks.end());
// Calculate successors of each block.
for (MCFunction::iterator i = f.begin(), e = f.end(); i != e; ++i) {
MCBasicBlock &BB = const_cast<MCBasicBlock&>(i->second);
if (BB.getInsts().empty()) continue;
const MCDecodedInst &Inst = BB.getInsts().back();
if (Ana->isBranch(Inst.Inst)) {
uint64_t targ = Ana->evaluateBranch(Inst.Inst, Inst.Address, Inst.Size);
if (targ == -1ULL) {
// Indirect branch. Bail and add all blocks of the function as a
// successor.
for (MCFunction::iterator i = f.begin(), e = f.end(); i != e; ++i)
BB.addSucc(i->first);
} else if (targ != Inst.Address+Inst.Size)
BB.addSucc(targ);
// Conditional branches can also fall through to the next block.
if (Ana->isConditionalBranch(Inst.Inst) && llvm::next(i) != e)
BB.addSucc(llvm::next(i)->first);
} else {
// No branch. Fall through to the next block.
if (!Ana->isReturn(Inst.Inst) && llvm::next(i) != e)
BB.addSucc(llvm::next(i)->first);
}
}
return f;
}
/// canonicalizeInputFunction - Functions like swift_retain return an
/// argument as a low-level performance optimization. This makes it difficult
/// to reason about pointer equality though, so undo it as an initial
/// canonicalization step. After this step, all swift_retain's have been
/// replaced with swift_retain.
///
/// This also does some trivial peep-hole optimizations as we go.
static bool canonicalizeInputFunction(Function &F, ARCEntryPointBuilder &B,
SwiftRCIdentity *RC) {
bool Changed = false;
DenseSet<Value *> NativeRefs;
DenseMap<Value *, TinyPtrVector<Instruction *>> UnknownRetains;
DenseMap<Value *, TinyPtrVector<Instruction *>> UnknownReleases;
for (auto &BB : F) {
UnknownRetains.clear();
UnknownReleases.clear();
NativeRefs.clear();
for (auto I = BB.begin(); I != BB.end(); ) {
Instruction &Inst = *I++;
switch (classifyInstruction(Inst)) {
// These instructions should not reach here based on the pass ordering.
// i.e. LLVMARCOpt -> LLVMContractOpt.
case RT_RetainN:
case RT_UnknownRetainN:
case RT_BridgeRetainN:
case RT_ReleaseN:
case RT_UnknownReleaseN:
case RT_BridgeReleaseN:
llvm_unreachable("These are only created by LLVMARCContract !");
case RT_Unknown:
case RT_BridgeRelease:
case RT_AllocObject:
case RT_FixLifetime:
case RT_NoMemoryAccessed:
case RT_RetainUnowned:
case RT_CheckUnowned:
break;
case RT_Retain: {
CallInst &CI = cast<CallInst>(Inst);
Value *ArgVal = RC->getSwiftRCIdentityRoot(CI.getArgOperand(0));
// retain(null) is a no-op.
if (isa<ConstantPointerNull>(ArgVal)) {
CI.eraseFromParent();
Changed = true;
++NumNoopDeleted;
continue;
}
// Rewrite unknown retains into swift_retains.
NativeRefs.insert(ArgVal);
for (auto &X : UnknownRetains[ArgVal]) {
B.setInsertPoint(X);
B.createRetain(ArgVal, cast<CallInst>(X));
X->eraseFromParent();
++NumUnknownRetainReleaseSRed;
Changed = true;
}
UnknownRetains[ArgVal].clear();
break;
}
case RT_UnknownRetain: {
CallInst &CI = cast<CallInst>(Inst);
Value *ArgVal = RC->getSwiftRCIdentityRoot(CI.getArgOperand(0));
// unknownRetain(null) is a no-op.
if (isa<ConstantPointerNull>(ArgVal)) {
CI.eraseFromParent();
Changed = true;
++NumNoopDeleted;
continue;
}
// Have not encountered a strong retain/release. keep it in the
// unknown retain/release list for now. It might get replaced
// later.
if (NativeRefs.find(ArgVal) == NativeRefs.end()) {
UnknownRetains[ArgVal].push_back(&CI);
} else {
B.setInsertPoint(&CI);
B.createRetain(ArgVal, &CI);
CI.eraseFromParent();
++NumUnknownRetainReleaseSRed;
Changed = true;
}
break;
}
case RT_Release: {
CallInst &CI = cast<CallInst>(Inst);
Value *ArgVal = RC->getSwiftRCIdentityRoot(CI.getArgOperand(0));
// release(null) is a no-op.
if (isa<ConstantPointerNull>(ArgVal)) {
CI.eraseFromParent();
Changed = true;
++NumNoopDeleted;
continue;
}
// Rewrite unknown releases into swift_releases.
NativeRefs.insert(ArgVal);
for (auto &X : UnknownReleases[ArgVal]) {
B.setInsertPoint(X);
B.createRelease(ArgVal, cast<CallInst>(X));
X->eraseFromParent();
++NumUnknownRetainReleaseSRed;
Changed = true;
}
UnknownReleases[ArgVal].clear();
break;
}
case RT_UnknownRelease: {
CallInst &CI = cast<CallInst>(Inst);
Value *ArgVal = RC->getSwiftRCIdentityRoot(CI.getArgOperand(0));
// unknownRelease(null) is a no-op.
if (isa<ConstantPointerNull>(ArgVal)) {
CI.eraseFromParent();
Changed = true;
++NumNoopDeleted;
continue;
}
// Have not encountered a strong retain/release. keep it in the
// unknown retain/release list for now. It might get replaced
// later.
if (NativeRefs.find(ArgVal) == NativeRefs.end()) {
UnknownReleases[ArgVal].push_back(&CI);
} else {
B.setInsertPoint(&CI);
B.createRelease(ArgVal, &CI);
CI.eraseFromParent();
++NumUnknownRetainReleaseSRed;
Changed = true;
}
break;
}
case RT_ObjCRelease: {
CallInst &CI = cast<CallInst>(Inst);
Value *ArgVal = RC->getSwiftRCIdentityRoot(CI.getArgOperand(0));
// objc_release(null) is a noop, zap it.
if (isa<ConstantPointerNull>(ArgVal)) {
CI.eraseFromParent();
Changed = true;
++NumNoopDeleted;
continue;
}
break;
}
// These retain instructions return their argument so must be processed
// specially.
case RT_BridgeRetain:
case RT_ObjCRetain: {
// Canonicalize the retain so that nothing uses its result.
CallInst &CI = cast<CallInst>(Inst);
// Do not get RC identical value here, could end up with a
// crash in replaceAllUsesWith as the type maybe different.
Value *ArgVal = CI.getArgOperand(0);
if (!CI.use_empty()) {
CI.replaceAllUsesWith(ArgVal);
Changed = true;
}
// {objc_retain,swift_unknownRetain}(null) is a noop, delete it.
if (isa<ConstantPointerNull>(ArgVal)) {
CI.eraseFromParent();
Changed = true;
++NumNoopDeleted;
continue;
}
break;
}
}
}
}
return Changed;
}
Error AnalysisStyle::dump() {
auto Tpi = File.getPDBTpiStream();
if (!Tpi)
return Tpi.takeError();
TypeDatabase TypeDB(Tpi->getNumTypeRecords());
TypeDatabaseVisitor DBV(TypeDB);
TypeVisitorCallbackPipeline Pipeline;
HashLookupVisitor Hasher(*Tpi);
// Add them to the database
Pipeline.addCallbackToPipeline(DBV);
// Store their hash values
Pipeline.addCallbackToPipeline(Hasher);
if (auto EC = codeview::visitTypeStream(Tpi->typeArray(), Pipeline))
return EC;
auto &Adjusters = Tpi->getHashAdjusters();
DenseSet<uint32_t> AdjusterSet;
for (const auto &Adj : Adjusters) {
assert(AdjusterSet.find(Adj.second) == AdjusterSet.end());
AdjusterSet.insert(Adj.second);
}
uint32_t Count = 0;
outs() << "Searching for hash collisions\n";
for (const auto &H : Hasher.Lookup) {
if (H.second.size() <= 1)
continue;
++Count;
outs() << formatv("Hash: {0}, Count: {1} records\n", H.first,
H.second.size());
for (const auto &R : H.second) {
auto Iter = AdjusterSet.find(R.TI.getIndex());
StringRef Prefix;
if (Iter != AdjusterSet.end()) {
Prefix = "[HEAD]";
AdjusterSet.erase(Iter);
}
StringRef LeafName = getLeafTypeName(R.Record.Type);
uint32_t TI = R.TI.getIndex();
StringRef TypeName = TypeDB.getTypeName(R.TI);
outs() << formatv("{0,-6} {1} ({2:x}) {3}\n", Prefix, LeafName, TI,
TypeName);
}
}
outs() << "\n";
outs() << "Dumping hash adjustment chains\n";
for (const auto &A : Tpi->getHashAdjusters()) {
TypeIndex TI(A.second);
StringRef TypeName = TypeDB.getTypeName(TI);
const CVType &HeadRecord = TypeDB.getTypeRecord(TI);
assert(HeadRecord.Hash.hasValue());
auto CollisionsIter = Hasher.Lookup.find(*HeadRecord.Hash);
if (CollisionsIter == Hasher.Lookup.end())
continue;
const auto &Collisions = CollisionsIter->second;
outs() << TypeName << "\n";
outs() << formatv(" [HEAD] {0:x} {1} {2}\n", A.second,
getLeafTypeName(HeadRecord.Type), TypeName);
for (const auto &Chain : Collisions) {
if (Chain.TI == TI)
continue;
const CVType &TailRecord = TypeDB.getTypeRecord(Chain.TI);
outs() << formatv(" {0:x} {1} {2}\n", Chain.TI.getIndex(),
getLeafTypeName(TailRecord.Type),
TypeDB.getTypeName(Chain.TI));
}
}
outs() << formatv("There are {0} orphaned hash adjusters\n",
AdjusterSet.size());
for (const auto &Adj : AdjusterSet) {
outs() << formatv(" {0}\n", Adj);
}
uint32_t DistinctHashValues = Hasher.Lookup.size();
outs() << formatv("{0}/{1} hash collisions", Count, DistinctHashValues);
return Error::success();
}
