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Diffstat (limited to 'llvm/lib/ProfileData/ProfileSummary.cpp')
-rw-r--r-- | llvm/lib/ProfileData/ProfileSummary.cpp | 75 |
1 files changed, 75 insertions, 0 deletions
diff --git a/llvm/lib/ProfileData/ProfileSummary.cpp b/llvm/lib/ProfileData/ProfileSummary.cpp new file mode 100644 index 00000000000..a16094be20f --- /dev/null +++ b/llvm/lib/ProfileData/ProfileSummary.cpp @@ -0,0 +1,75 @@ +//=-- 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/ProfileData/ProfileCommon.h" +#include "llvm/ProfileData/InstrProf.h" + +using namespace llvm; + +void ProfileSummary::addRecord(const InstrProfRecord &R) { + NumFunctions++; + if (R.Counts[0] > MaxFunctionCount) + MaxFunctionCount = R.Counts[0]; + + for (size_t I = 0, E = R.Counts.size(); I < E; ++I) + addCount(R.Counts[I], (I == 0)); +} + +// The argument to this method is a vector of cutoff percentages and the return +// value is a vector of (Cutoff, MinBlockCount, NumBlocks) triplets. +void ProfileSummary::computeDetailedSummary() { + if (DetailedSummaryCutoffs.empty()) + return; + auto Iter = CountFrequencies.begin(); + auto End = CountFrequencies.end(); + std::sort(DetailedSummaryCutoffs.begin(), DetailedSummaryCutoffs.end()); + + uint32_t BlocksSeen = 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); + BlocksSeen += Freq; + Iter++; + } + assert(CurrSum >= DesiredCount); + ProfileSummaryEntry PSE = {Cutoff, Count, BlocksSeen}; + DetailedSummary.push_back(PSE); + } +} + +ProfileSummary::ProfileSummary(const IndexedInstrProf::Summary &S) + : TotalCount(S.get(IndexedInstrProf::Summary::TotalBlockCount)), + MaxBlockCount(S.get(IndexedInstrProf::Summary::MaxBlockCount)), + MaxInternalBlockCount( + S.get(IndexedInstrProf::Summary::MaxInternalBlockCount)), + MaxFunctionCount(S.get(IndexedInstrProf::Summary::MaxFunctionCount)), + NumBlocks(S.get(IndexedInstrProf::Summary::TotalNumBlocks)), + NumFunctions(S.get(IndexedInstrProf::Summary::TotalNumFunctions)) { + 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); + } +} |