1 //=-- ProfilesummaryBuilder.cpp - Profile summary computation ---------------=//
3 // The LLVM Compiler Infrastructure
5 // This file is distributed under the University of Illinois Open Source
6 // License. See LICENSE.TXT for details.
8 //===----------------------------------------------------------------------===//
10 // This file contains support for computing profile summary data.
12 //===----------------------------------------------------------------------===//
14 #include "llvm/IR/Attributes.h"
15 #include "llvm/IR/Constants.h"
16 #include "llvm/IR/Function.h"
17 #include "llvm/IR/Metadata.h"
18 #include "llvm/IR/Type.h"
19 #include "llvm/ProfileData/InstrProf.h"
20 #include "llvm/ProfileData/ProfileCommon.h"
21 #include "llvm/ProfileData/SampleProf.h"
22 #include "llvm/Support/Casting.h"
26 // A set of cutoff values. Each value, when divided by ProfileSummary::Scale
27 // (which is 1000000) is a desired percentile of total counts.
28 static const uint32_t DefaultCutoffsData[] = {
31 200000, 300000, 400000, 500000, 600000, 500000, 600000, 700000,
32 800000, 900000, 950000, 990000, 999000, 999900, 999990, 999999};
33 const ArrayRef<uint32_t> ProfileSummaryBuilder::DefaultCutoffs =
36 void InstrProfSummaryBuilder::addRecord(const InstrProfRecord &R) {
37 // The first counter is not necessarily an entry count for IR
38 // instrumentation profiles.
39 // Eventually MaxFunctionCount will become obsolete and this can be
41 addEntryCount(R.Counts[0]);
42 for (size_t I = 1, E = R.Counts.size(); I < E; ++I)
43 addInternalCount(R.Counts[I]);
46 // To compute the detailed summary, we consider each line containing samples as
47 // equivalent to a block with a count in the instrumented profile.
48 void SampleProfileSummaryBuilder::addRecord(
49 const sampleprof::FunctionSamples &FS) {
51 if (FS.getHeadSamples() > MaxFunctionCount)
52 MaxFunctionCount = FS.getHeadSamples();
53 for (const auto &I : FS.getBodySamples())
54 addCount(I.second.getSamples());
57 // The argument to this method is a vector of cutoff percentages and the return
58 // value is a vector of (Cutoff, MinCount, NumCounts) triplets.
59 void ProfileSummaryBuilder::computeDetailedSummary() {
60 if (DetailedSummaryCutoffs.empty())
62 std::sort(DetailedSummaryCutoffs.begin(), DetailedSummaryCutoffs.end());
63 auto Iter = CountFrequencies.begin();
64 const auto End = CountFrequencies.end();
66 uint32_t CountsSeen = 0;
67 uint64_t CurrSum = 0, Count = 0;
69 for (const uint32_t Cutoff : DetailedSummaryCutoffs) {
70 assert(Cutoff <= 999999);
71 APInt Temp(128, TotalCount);
73 APInt D(128, ProfileSummary::Scale);
76 uint64_t DesiredCount = Temp.getZExtValue();
77 assert(DesiredCount <= TotalCount);
78 while (CurrSum < DesiredCount && Iter != End) {
80 uint32_t Freq = Iter->second;
81 CurrSum += (Count * Freq);
85 assert(CurrSum >= DesiredCount);
86 ProfileSummaryEntry PSE = {Cutoff, Count, CountsSeen};
87 DetailedSummary.push_back(PSE);
91 std::unique_ptr<ProfileSummary> SampleProfileSummaryBuilder::getSummary() {
92 computeDetailedSummary();
93 return llvm::make_unique<ProfileSummary>(
94 ProfileSummary::PSK_Sample, DetailedSummary, TotalCount, MaxCount, 0,
95 MaxFunctionCount, NumCounts, NumFunctions);
98 std::unique_ptr<ProfileSummary> InstrProfSummaryBuilder::getSummary() {
99 computeDetailedSummary();
100 return llvm::make_unique<ProfileSummary>(
101 ProfileSummary::PSK_Instr, DetailedSummary, TotalCount, MaxCount,
102 MaxInternalBlockCount, MaxFunctionCount, NumCounts, NumFunctions);
105 void InstrProfSummaryBuilder::addEntryCount(uint64_t Count) {
108 if (Count > MaxFunctionCount)
109 MaxFunctionCount = Count;
112 void InstrProfSummaryBuilder::addInternalCount(uint64_t Count) {
114 if (Count > MaxInternalBlockCount)
115 MaxInternalBlockCount = Count;