//=-- Profilesummary.cpp - Profile summary computation ----------------------=// // // The LLVM Compiler Infrastructure // // This file is distributed under the University of Illinois Open Source // License. See LICENSE.TXT for details. // //===----------------------------------------------------------------------===// // // This file contains support for computing profile summary data. // //===----------------------------------------------------------------------===// #include "llvm/IR/Attributes.h" #include "llvm/IR/Function.h" #include "llvm/ProfileData/InstrProf.h" #include "llvm/ProfileData/ProfileCommon.h" #include "llvm/ProfileData/SampleProf.h" using namespace llvm; // A set of cutoff values. Each value, when divided by ProfileSummary::Scale // (which is 1000000) is a desired percentile of total counts. const std::vector ProfileSummary::DefaultCutoffs( {10000, /* 1% */ 100000, /* 10% */ 200000, 300000, 400000, 500000, 600000, 500000, 600000, 700000, 800000, 900000, 950000, 990000, 999000, 999900, 999990, 999999}); void InstrProfSummary::addRecord(const InstrProfRecord &R) { addEntryCount(R.Counts[0]); for (size_t I = 1, E = R.Counts.size(); I < E; ++I) addInternalCount(R.Counts[I]); } // To compute the detailed summary, we consider each line containing samples as // equivalent to a block with a count in the instrumented profile. void SampleProfileSummary::addRecord(const sampleprof::FunctionSamples &FS) { NumFunctions++; if (FS.getHeadSamples() > MaxHeadSamples) MaxHeadSamples = FS.getHeadSamples(); for (const auto &I : FS.getBodySamples()) addCount(I.second.getSamples()); } // The argument to this method is a vector of cutoff percentages and the return // value is a vector of (Cutoff, MinCount, NumCounts) triplets. void ProfileSummary::computeDetailedSummary() { if (DetailedSummaryCutoffs.empty()) return; auto Iter = CountFrequencies.begin(); auto End = CountFrequencies.end(); std::sort(DetailedSummaryCutoffs.begin(), DetailedSummaryCutoffs.end()); uint32_t CountsSeen = 0; uint64_t CurrSum = 0, Count = 0; for (uint32_t Cutoff : DetailedSummaryCutoffs) { assert(Cutoff <= 999999); APInt Temp(128, TotalCount); APInt N(128, Cutoff); APInt D(128, ProfileSummary::Scale); Temp *= N; Temp = Temp.sdiv(D); uint64_t DesiredCount = Temp.getZExtValue(); assert(DesiredCount <= TotalCount); while (CurrSum < DesiredCount && Iter != End) { Count = Iter->first; uint32_t Freq = Iter->second; CurrSum += (Count * Freq); CountsSeen += Freq; Iter++; } assert(CurrSum >= DesiredCount); ProfileSummaryEntry PSE = {Cutoff, Count, CountsSeen}; DetailedSummary.push_back(PSE); } } // Returns true if the function is a hot function. bool ProfileSummary::isFunctionHot(const Function *F) { // FIXME: update when summary data is stored in module's metadata. return false; } // Returns true if the function is a cold function. bool ProfileSummary::isFunctionUnlikely(const Function *F) { if (F->hasFnAttribute(Attribute::Cold)) { return true; } if (!F->getEntryCount()) { return false; } // FIXME: update when summary data is stored in module's metadata. return (*F->getEntryCount()) == 0; } InstrProfSummary::InstrProfSummary(const IndexedInstrProf::Summary &S) : ProfileSummary(), MaxInternalBlockCount(S.get( IndexedInstrProf::Summary::MaxInternalBlockCount)), MaxFunctionCount(S.get(IndexedInstrProf::Summary::MaxFunctionCount)), NumFunctions(S.get(IndexedInstrProf::Summary::TotalNumFunctions)) { TotalCount = S.get(IndexedInstrProf::Summary::TotalBlockCount); MaxCount = S.get(IndexedInstrProf::Summary::MaxBlockCount); NumCounts = S.get(IndexedInstrProf::Summary::TotalNumBlocks); for (unsigned I = 0; I < S.NumCutoffEntries; I++) { const IndexedInstrProf::Summary::Entry &Ent = S.getEntry(I); DetailedSummary.emplace_back((uint32_t)Ent.Cutoff, Ent.MinBlockCount, Ent.NumBlocks); } } void InstrProfSummary::addEntryCount(uint64_t Count) { addCount(Count); NumFunctions++; if (Count > MaxFunctionCount) MaxFunctionCount = Count; } void InstrProfSummary::addInternalCount(uint64_t Count) { addCount(Count); if (Count > MaxInternalBlockCount) MaxInternalBlockCount = Count; }