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We've been running doxygen with the autobrief option for a couple of years now. This makes the \brief markers into our comments redundant. Since they are a visual distraction and we don't want to encourage more \brief markers in new code either, this patch removes them all. Patch produced by for i in $(git grep -l '\\brief'); do perl -pi -e 's/\\brief //g' $i & done Differential Revision: https://reviews.llvm.org/D46290 llvm-svn: 331272
472 lines
17 KiB
C++
472 lines
17 KiB
C++
//===- SampleProf.h - Sampling profiling format support ---------*- C++ -*-===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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// This file contains common definitions used in the reading and writing of
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// sample profile data.
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//
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//===----------------------------------------------------------------------===//
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#ifndef LLVM_PROFILEDATA_SAMPLEPROF_H
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#define LLVM_PROFILEDATA_SAMPLEPROF_H
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#include "llvm/ADT/DenseSet.h"
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#include "llvm/ADT/SmallVector.h"
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#include "llvm/ADT/StringMap.h"
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#include "llvm/ADT/StringRef.h"
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#include "llvm/IR/Function.h"
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#include "llvm/IR/GlobalValue.h"
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#include "llvm/IR/Module.h"
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#include "llvm/Support/Debug.h"
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#include "llvm/Support/ErrorOr.h"
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#include "llvm/Support/MathExtras.h"
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#include <algorithm>
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#include <cstdint>
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#include <map>
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#include <string>
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#include <system_error>
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#include <utility>
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namespace llvm {
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class raw_ostream;
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const std::error_category &sampleprof_category();
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enum class sampleprof_error {
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success = 0,
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bad_magic,
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unsupported_version,
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too_large,
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truncated,
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malformed,
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unrecognized_format,
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unsupported_writing_format,
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truncated_name_table,
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not_implemented,
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counter_overflow
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};
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inline std::error_code make_error_code(sampleprof_error E) {
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return std::error_code(static_cast<int>(E), sampleprof_category());
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}
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inline sampleprof_error MergeResult(sampleprof_error &Accumulator,
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sampleprof_error Result) {
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// Prefer first error encountered as later errors may be secondary effects of
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// the initial problem.
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if (Accumulator == sampleprof_error::success &&
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Result != sampleprof_error::success)
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Accumulator = Result;
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return Accumulator;
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}
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} // end namespace llvm
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namespace std {
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template <>
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struct is_error_code_enum<llvm::sampleprof_error> : std::true_type {};
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} // end namespace std
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namespace llvm {
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namespace sampleprof {
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static inline uint64_t SPMagic() {
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return uint64_t('S') << (64 - 8) | uint64_t('P') << (64 - 16) |
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uint64_t('R') << (64 - 24) | uint64_t('O') << (64 - 32) |
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uint64_t('F') << (64 - 40) | uint64_t('4') << (64 - 48) |
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uint64_t('2') << (64 - 56) | uint64_t(0xff);
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}
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static inline uint64_t SPVersion() { return 103; }
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/// Represents the relative location of an instruction.
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///
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/// Instruction locations are specified by the line offset from the
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/// beginning of the function (marked by the line where the function
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/// header is) and the discriminator value within that line.
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///
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/// The discriminator value is useful to distinguish instructions
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/// that are on the same line but belong to different basic blocks
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/// (e.g., the two post-increment instructions in "if (p) x++; else y++;").
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struct LineLocation {
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LineLocation(uint32_t L, uint32_t D) : LineOffset(L), Discriminator(D) {}
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void print(raw_ostream &OS) const;
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void dump() const;
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bool operator<(const LineLocation &O) const {
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return LineOffset < O.LineOffset ||
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(LineOffset == O.LineOffset && Discriminator < O.Discriminator);
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}
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uint32_t LineOffset;
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uint32_t Discriminator;
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};
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raw_ostream &operator<<(raw_ostream &OS, const LineLocation &Loc);
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/// Representation of a single sample record.
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///
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/// A sample record is represented by a positive integer value, which
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/// indicates how frequently was the associated line location executed.
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///
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/// Additionally, if the associated location contains a function call,
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/// the record will hold a list of all the possible called targets. For
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/// direct calls, this will be the exact function being invoked. For
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/// indirect calls (function pointers, virtual table dispatch), this
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/// will be a list of one or more functions.
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class SampleRecord {
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public:
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using CallTargetMap = StringMap<uint64_t>;
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SampleRecord() = default;
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/// Increment the number of samples for this record by \p S.
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/// Optionally scale sample count \p S by \p Weight.
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///
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/// Sample counts accumulate using saturating arithmetic, to avoid wrapping
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/// around unsigned integers.
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sampleprof_error addSamples(uint64_t S, uint64_t Weight = 1) {
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bool Overflowed;
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NumSamples = SaturatingMultiplyAdd(S, Weight, NumSamples, &Overflowed);
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return Overflowed ? sampleprof_error::counter_overflow
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: sampleprof_error::success;
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}
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/// Add called function \p F with samples \p S.
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/// Optionally scale sample count \p S by \p Weight.
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///
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/// Sample counts accumulate using saturating arithmetic, to avoid wrapping
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/// around unsigned integers.
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sampleprof_error addCalledTarget(StringRef F, uint64_t S,
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uint64_t Weight = 1) {
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uint64_t &TargetSamples = CallTargets[F];
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bool Overflowed;
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TargetSamples =
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SaturatingMultiplyAdd(S, Weight, TargetSamples, &Overflowed);
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return Overflowed ? sampleprof_error::counter_overflow
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: sampleprof_error::success;
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}
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/// Return true if this sample record contains function calls.
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bool hasCalls() const { return !CallTargets.empty(); }
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uint64_t getSamples() const { return NumSamples; }
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const CallTargetMap &getCallTargets() const { return CallTargets; }
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/// Merge the samples in \p Other into this record.
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/// Optionally scale sample counts by \p Weight.
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sampleprof_error merge(const SampleRecord &Other, uint64_t Weight = 1) {
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sampleprof_error Result = addSamples(Other.getSamples(), Weight);
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for (const auto &I : Other.getCallTargets()) {
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MergeResult(Result, addCalledTarget(I.first(), I.second, Weight));
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}
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return Result;
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}
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void print(raw_ostream &OS, unsigned Indent) const;
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void dump() const;
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private:
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uint64_t NumSamples = 0;
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CallTargetMap CallTargets;
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};
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raw_ostream &operator<<(raw_ostream &OS, const SampleRecord &Sample);
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class FunctionSamples;
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using BodySampleMap = std::map<LineLocation, SampleRecord>;
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// NOTE: Using a StringMap here makes parsed profiles consume around 17% more
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// memory, which is *very* significant for large profiles.
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using FunctionSamplesMap = std::map<std::string, FunctionSamples>;
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using CallsiteSampleMap = std::map<LineLocation, FunctionSamplesMap>;
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/// Representation of the samples collected for a function.
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///
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/// This data structure contains all the collected samples for the body
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/// of a function. Each sample corresponds to a LineLocation instance
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/// within the body of the function.
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class FunctionSamples {
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public:
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FunctionSamples() = default;
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void print(raw_ostream &OS = dbgs(), unsigned Indent = 0) const;
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void dump() const;
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sampleprof_error addTotalSamples(uint64_t Num, uint64_t Weight = 1) {
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bool Overflowed;
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TotalSamples =
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SaturatingMultiplyAdd(Num, Weight, TotalSamples, &Overflowed);
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return Overflowed ? sampleprof_error::counter_overflow
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: sampleprof_error::success;
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}
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sampleprof_error addHeadSamples(uint64_t Num, uint64_t Weight = 1) {
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bool Overflowed;
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TotalHeadSamples =
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SaturatingMultiplyAdd(Num, Weight, TotalHeadSamples, &Overflowed);
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return Overflowed ? sampleprof_error::counter_overflow
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: sampleprof_error::success;
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}
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sampleprof_error addBodySamples(uint32_t LineOffset, uint32_t Discriminator,
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uint64_t Num, uint64_t Weight = 1) {
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return BodySamples[LineLocation(LineOffset, Discriminator)].addSamples(
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Num, Weight);
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}
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sampleprof_error addCalledTargetSamples(uint32_t LineOffset,
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uint32_t Discriminator,
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StringRef FName, uint64_t Num,
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uint64_t Weight = 1) {
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return BodySamples[LineLocation(LineOffset, Discriminator)].addCalledTarget(
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FName, Num, Weight);
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}
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/// Return the number of samples collected at the given location.
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/// Each location is specified by \p LineOffset and \p Discriminator.
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/// If the location is not found in profile, return error.
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ErrorOr<uint64_t> findSamplesAt(uint32_t LineOffset,
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uint32_t Discriminator) const {
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const auto &ret = BodySamples.find(LineLocation(LineOffset, Discriminator));
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if (ret == BodySamples.end())
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return std::error_code();
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else
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return ret->second.getSamples();
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}
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/// Returns the call target map collected at a given location.
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/// Each location is specified by \p LineOffset and \p Discriminator.
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/// If the location is not found in profile, return error.
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ErrorOr<SampleRecord::CallTargetMap>
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findCallTargetMapAt(uint32_t LineOffset, uint32_t Discriminator) const {
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const auto &ret = BodySamples.find(LineLocation(LineOffset, Discriminator));
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if (ret == BodySamples.end())
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return std::error_code();
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return ret->second.getCallTargets();
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}
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/// Return the function samples at the given callsite location.
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FunctionSamplesMap &functionSamplesAt(const LineLocation &Loc) {
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return CallsiteSamples[Loc];
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}
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/// Returns the FunctionSamplesMap at the given \p Loc.
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const FunctionSamplesMap *
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findFunctionSamplesMapAt(const LineLocation &Loc) const {
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auto iter = CallsiteSamples.find(Loc);
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if (iter == CallsiteSamples.end())
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return nullptr;
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return &iter->second;
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}
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/// Returns a pointer to FunctionSamples at the given callsite location \p Loc
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/// with callee \p CalleeName. If no callsite can be found, relax the
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/// restriction to return the FunctionSamples at callsite location \p Loc
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/// with the maximum total sample count.
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const FunctionSamples *findFunctionSamplesAt(const LineLocation &Loc,
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StringRef CalleeName) const {
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auto iter = CallsiteSamples.find(Loc);
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if (iter == CallsiteSamples.end())
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return nullptr;
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auto FS = iter->second.find(CalleeName);
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if (FS != iter->second.end())
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return &FS->second;
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// If we cannot find exact match of the callee name, return the FS with
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// the max total count.
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uint64_t MaxTotalSamples = 0;
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const FunctionSamples *R = nullptr;
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for (const auto &NameFS : iter->second)
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if (NameFS.second.getTotalSamples() >= MaxTotalSamples) {
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MaxTotalSamples = NameFS.second.getTotalSamples();
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R = &NameFS.second;
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}
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return R;
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}
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bool empty() const { return TotalSamples == 0; }
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/// Return the total number of samples collected inside the function.
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uint64_t getTotalSamples() const { return TotalSamples; }
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/// Return the total number of branch samples that have the function as the
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/// branch target. This should be equivalent to the sample of the first
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/// instruction of the symbol. But as we directly get this info for raw
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/// profile without referring to potentially inaccurate debug info, this
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/// gives more accurate profile data and is preferred for standalone symbols.
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uint64_t getHeadSamples() const { return TotalHeadSamples; }
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/// Return the sample count of the first instruction of the function.
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/// The function can be either a standalone symbol or an inlined function.
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uint64_t getEntrySamples() const {
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// Use either BodySamples or CallsiteSamples which ever has the smaller
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// lineno.
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if (!BodySamples.empty() &&
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(CallsiteSamples.empty() ||
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BodySamples.begin()->first < CallsiteSamples.begin()->first))
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return BodySamples.begin()->second.getSamples();
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if (!CallsiteSamples.empty()) {
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uint64_t T = 0;
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// An indirect callsite may be promoted to several inlined direct calls.
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// We need to get the sum of them.
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for (const auto &N_FS : CallsiteSamples.begin()->second)
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T += N_FS.second.getEntrySamples();
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return T;
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}
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return 0;
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}
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/// Return all the samples collected in the body of the function.
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const BodySampleMap &getBodySamples() const { return BodySamples; }
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/// Return all the callsite samples collected in the body of the function.
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const CallsiteSampleMap &getCallsiteSamples() const {
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return CallsiteSamples;
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}
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/// Merge the samples in \p Other into this one.
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/// Optionally scale samples by \p Weight.
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sampleprof_error merge(const FunctionSamples &Other, uint64_t Weight = 1) {
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sampleprof_error Result = sampleprof_error::success;
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Name = Other.getName();
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MergeResult(Result, addTotalSamples(Other.getTotalSamples(), Weight));
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MergeResult(Result, addHeadSamples(Other.getHeadSamples(), Weight));
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for (const auto &I : Other.getBodySamples()) {
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const LineLocation &Loc = I.first;
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const SampleRecord &Rec = I.second;
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MergeResult(Result, BodySamples[Loc].merge(Rec, Weight));
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}
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for (const auto &I : Other.getCallsiteSamples()) {
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const LineLocation &Loc = I.first;
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FunctionSamplesMap &FSMap = functionSamplesAt(Loc);
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for (const auto &Rec : I.second)
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MergeResult(Result, FSMap[Rec.first].merge(Rec.second, Weight));
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}
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return Result;
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}
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/// Recursively traverses all children, if the total sample count of the
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/// corresponding function is no less than \p Threshold, add its corresponding
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/// GUID to \p S. Also traverse the BodySamples to add hot CallTarget's GUID
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/// to \p S.
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void findInlinedFunctions(DenseSet<GlobalValue::GUID> &S, const Module *M,
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uint64_t Threshold) const {
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if (TotalSamples <= Threshold)
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return;
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S.insert(Function::getGUID(Name));
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// Import hot CallTargets, which may not be available in IR because full
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// profile annotation cannot be done until backend compilation in ThinLTO.
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for (const auto &BS : BodySamples)
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for (const auto &TS : BS.second.getCallTargets())
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if (TS.getValue() > Threshold) {
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Function *Callee = M->getFunction(TS.getKey());
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if (!Callee || !Callee->getSubprogram())
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S.insert(Function::getGUID(TS.getKey()));
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}
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for (const auto &CS : CallsiteSamples)
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for (const auto &NameFS : CS.second)
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NameFS.second.findInlinedFunctions(S, M, Threshold);
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}
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/// Set the name of the function.
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void setName(StringRef FunctionName) { Name = FunctionName; }
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/// Return the function name.
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const StringRef &getName() const { return Name; }
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/// Returns the line offset to the start line of the subprogram.
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/// We assume that a single function will not exceed 65535 LOC.
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static unsigned getOffset(const DILocation *DIL);
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/// Get the FunctionSamples of the inline instance where DIL originates
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/// from.
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///
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/// The FunctionSamples of the instruction (Machine or IR) associated to
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/// \p DIL is the inlined instance in which that instruction is coming from.
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/// We traverse the inline stack of that instruction, and match it with the
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/// tree nodes in the profile.
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///
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/// \returns the FunctionSamples pointer to the inlined instance.
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const FunctionSamples *findFunctionSamples(const DILocation *DIL) const;
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private:
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/// Mangled name of the function.
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StringRef Name;
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/// Total number of samples collected inside this function.
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///
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/// Samples are cumulative, they include all the samples collected
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/// inside this function and all its inlined callees.
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uint64_t TotalSamples = 0;
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/// Total number of samples collected at the head of the function.
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/// This is an approximation of the number of calls made to this function
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/// at runtime.
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uint64_t TotalHeadSamples = 0;
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/// Map instruction locations to collected samples.
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///
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/// Each entry in this map contains the number of samples
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/// collected at the corresponding line offset. All line locations
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/// are an offset from the start of the function.
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BodySampleMap BodySamples;
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/// Map call sites to collected samples for the called function.
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///
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/// Each entry in this map corresponds to all the samples
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/// collected for the inlined function call at the given
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/// location. For example, given:
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///
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/// void foo() {
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/// 1 bar();
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/// ...
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/// 8 baz();
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/// }
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///
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/// If the bar() and baz() calls were inlined inside foo(), this
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/// map will contain two entries. One for all the samples collected
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/// in the call to bar() at line offset 1, the other for all the samples
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/// collected in the call to baz() at line offset 8.
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CallsiteSampleMap CallsiteSamples;
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};
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raw_ostream &operator<<(raw_ostream &OS, const FunctionSamples &FS);
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/// Sort a LocationT->SampleT map by LocationT.
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///
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/// It produces a sorted list of <LocationT, SampleT> records by ascending
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/// order of LocationT.
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template <class LocationT, class SampleT> class SampleSorter {
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public:
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using SamplesWithLoc = std::pair<const LocationT, SampleT>;
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using SamplesWithLocList = SmallVector<const SamplesWithLoc *, 20>;
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SampleSorter(const std::map<LocationT, SampleT> &Samples) {
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for (const auto &I : Samples)
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V.push_back(&I);
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std::stable_sort(V.begin(), V.end(),
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[](const SamplesWithLoc *A, const SamplesWithLoc *B) {
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return A->first < B->first;
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});
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}
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const SamplesWithLocList &get() const { return V; }
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private:
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SamplesWithLocList V;
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};
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} // end namespace sampleprof
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} // end namespace llvm
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#endif // LLVM_PROFILEDATA_SAMPLEPROF_H
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