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mirror of https://github.com/RPCS3/llvm-mirror.git synced 2024-11-26 04:32:44 +01:00
llvm-mirror/include/llvm/ProfileData/SampleProfReader.h
Rong Xu 559805b594 [SampleFDO] New hierarchical discriminator for FS SampleFDO (llvm-profdata part)
This patch was split from https://reviews.llvm.org/D102246
[SampleFDO] New hierarchical discriminator for Flow Sensitive SampleFDO
This is for llvm-profdata part of change. It sets the bit masks for the
profile reader in llvm-profdata. Also add an internal option
"-fs-discriminator-pass" for show and merge command to process the profile
offline.

This patch also moved setDiscriminatorMaskedBitFrom() to
SampleProfileReader::create() to simplify the interface.

Differential Revision: https://reviews.llvm.org/D103550
2021-06-04 11:22:06 -07:00

861 lines
33 KiB
C++

//===- SampleProfReader.h - Read LLVM sample profile data -------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file contains definitions needed for reading sample profiles.
//
// NOTE: If you are making changes to this file format, please remember
// to document them in the Clang documentation at
// tools/clang/docs/UsersManual.rst.
//
// Text format
// -----------
//
// Sample profiles are written as ASCII text. The file is divided into
// sections, which correspond to each of the functions executed at runtime.
// Each section has the following format
//
// function1:total_samples:total_head_samples
// offset1[.discriminator]: number_of_samples [fn1:num fn2:num ... ]
// offset2[.discriminator]: number_of_samples [fn3:num fn4:num ... ]
// ...
// offsetN[.discriminator]: number_of_samples [fn5:num fn6:num ... ]
// offsetA[.discriminator]: fnA:num_of_total_samples
// offsetA1[.discriminator]: number_of_samples [fn7:num fn8:num ... ]
// ...
// !CFGChecksum: num
// !Attribute: flags
//
// This is a nested tree in which the indentation represents the nesting level
// of the inline stack. There are no blank lines in the file. And the spacing
// within a single line is fixed. Additional spaces will result in an error
// while reading the file.
//
// Any line starting with the '#' character is completely ignored.
//
// Inlined calls are represented with indentation. The Inline stack is a
// stack of source locations in which the top of the stack represents the
// leaf function, and the bottom of the stack represents the actual
// symbol to which the instruction belongs.
//
// Function names must be mangled in order for the profile loader to
// match them in the current translation unit. The two numbers in the
// function header specify how many total samples were accumulated in the
// function (first number), and the total number of samples accumulated
// in the prologue of the function (second number). This head sample
// count provides an indicator of how frequently the function is invoked.
//
// There are three types of lines in the function body.
//
// * Sampled line represents the profile information of a source location.
// * Callsite line represents the profile information of a callsite.
// * Metadata line represents extra metadata of the function.
//
// Each sampled line may contain several items. Some are optional (marked
// below):
//
// a. Source line offset. This number represents the line number
// in the function where the sample was collected. The line number is
// always relative to the line where symbol of the function is
// defined. So, if the function has its header at line 280, the offset
// 13 is at line 293 in the file.
//
// Note that this offset should never be a negative number. This could
// happen in cases like macros. The debug machinery will register the
// line number at the point of macro expansion. So, if the macro was
// expanded in a line before the start of the function, the profile
// converter should emit a 0 as the offset (this means that the optimizers
// will not be able to associate a meaningful weight to the instructions
// in the macro).
//
// b. [OPTIONAL] Discriminator. This is used if the sampled program
// was compiled with DWARF discriminator support
// (http://wiki.dwarfstd.org/index.php?title=Path_Discriminators).
// DWARF discriminators are unsigned integer values that allow the
// compiler to distinguish between multiple execution paths on the
// same source line location.
//
// For example, consider the line of code ``if (cond) foo(); else bar();``.
// If the predicate ``cond`` is true 80% of the time, then the edge
// into function ``foo`` should be considered to be taken most of the
// time. But both calls to ``foo`` and ``bar`` are at the same source
// line, so a sample count at that line is not sufficient. The
// compiler needs to know which part of that line is taken more
// frequently.
//
// This is what discriminators provide. In this case, the calls to
// ``foo`` and ``bar`` will be at the same line, but will have
// different discriminator values. This allows the compiler to correctly
// set edge weights into ``foo`` and ``bar``.
//
// c. Number of samples. This is an integer quantity representing the
// number of samples collected by the profiler at this source
// location.
//
// d. [OPTIONAL] Potential call targets and samples. If present, this
// line contains a call instruction. This models both direct and
// number of samples. For example,
//
// 130: 7 foo:3 bar:2 baz:7
//
// The above means that at relative line offset 130 there is a call
// instruction that calls one of ``foo()``, ``bar()`` and ``baz()``,
// with ``baz()`` being the relatively more frequently called target.
//
// Each callsite line may contain several items. Some are optional.
//
// a. Source line offset. This number represents the line number of the
// callsite that is inlined in the profiled binary.
//
// b. [OPTIONAL] Discriminator. Same as the discriminator for sampled line.
//
// c. Number of samples. This is an integer quantity representing the
// total number of samples collected for the inlined instance at this
// callsite
//
// Metadata line can occur in lines with one indent only, containing extra
// information for the top-level function. Furthermore, metadata can only
// occur after all the body samples and callsite samples.
// Each metadata line may contain a particular type of metadata, marked by
// the starting characters annotated with !. We process each metadata line
// independently, hence each metadata line has to form an independent piece
// of information that does not require cross-line reference.
// We support the following types of metadata:
//
// a. CFG Checksum (a.k.a. function hash):
// !CFGChecksum: 12345
// b. CFG Checksum (see ContextAttributeMask):
// !Atribute: 1
//
//
// Binary format
// -------------
//
// This is a more compact encoding. Numbers are encoded as ULEB128 values
// and all strings are encoded in a name table. The file is organized in
// the following sections:
//
// MAGIC (uint64_t)
// File identifier computed by function SPMagic() (0x5350524f463432ff)
//
// VERSION (uint32_t)
// File format version number computed by SPVersion()
//
// SUMMARY
// TOTAL_COUNT (uint64_t)
// Total number of samples in the profile.
// MAX_COUNT (uint64_t)
// Maximum value of samples on a line.
// MAX_FUNCTION_COUNT (uint64_t)
// Maximum number of samples at function entry (head samples).
// NUM_COUNTS (uint64_t)
// Number of lines with samples.
// NUM_FUNCTIONS (uint64_t)
// Number of functions with samples.
// NUM_DETAILED_SUMMARY_ENTRIES (size_t)
// Number of entries in detailed summary
// DETAILED_SUMMARY
// A list of detailed summary entry. Each entry consists of
// CUTOFF (uint32_t)
// Required percentile of total sample count expressed as a fraction
// multiplied by 1000000.
// MIN_COUNT (uint64_t)
// The minimum number of samples required to reach the target
// CUTOFF.
// NUM_COUNTS (uint64_t)
// Number of samples to get to the desrired percentile.
//
// NAME TABLE
// SIZE (uint32_t)
// Number of entries in the name table.
// NAMES
// A NUL-separated list of SIZE strings.
//
// FUNCTION BODY (one for each uninlined function body present in the profile)
// HEAD_SAMPLES (uint64_t) [only for top-level functions]
// Total number of samples collected at the head (prologue) of the
// function.
// NOTE: This field should only be present for top-level functions
// (i.e., not inlined into any caller). Inlined function calls
// have no prologue, so they don't need this.
// NAME_IDX (uint32_t)
// Index into the name table indicating the function name.
// SAMPLES (uint64_t)
// Total number of samples collected in this function.
// NRECS (uint32_t)
// Total number of sampling records this function's profile.
// BODY RECORDS
// A list of NRECS entries. Each entry contains:
// OFFSET (uint32_t)
// Line offset from the start of the function.
// DISCRIMINATOR (uint32_t)
// Discriminator value (see description of discriminators
// in the text format documentation above).
// SAMPLES (uint64_t)
// Number of samples collected at this location.
// NUM_CALLS (uint32_t)
// Number of non-inlined function calls made at this location. In the
// case of direct calls, this number will always be 1. For indirect
// calls (virtual functions and function pointers) this will
// represent all the actual functions called at runtime.
// CALL_TARGETS
// A list of NUM_CALLS entries for each called function:
// NAME_IDX (uint32_t)
// Index into the name table with the callee name.
// SAMPLES (uint64_t)
// Number of samples collected at the call site.
// NUM_INLINED_FUNCTIONS (uint32_t)
// Number of callees inlined into this function.
// INLINED FUNCTION RECORDS
// A list of NUM_INLINED_FUNCTIONS entries describing each of the inlined
// callees.
// OFFSET (uint32_t)
// Line offset from the start of the function.
// DISCRIMINATOR (uint32_t)
// Discriminator value (see description of discriminators
// in the text format documentation above).
// FUNCTION BODY
// A FUNCTION BODY entry describing the inlined function.
//===----------------------------------------------------------------------===//
#ifndef LLVM_PROFILEDATA_SAMPLEPROFREADER_H
#define LLVM_PROFILEDATA_SAMPLEPROFREADER_H
#include "llvm/ADT/Optional.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/StringMap.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/IR/DiagnosticInfo.h"
#include "llvm/IR/Function.h"
#include "llvm/IR/LLVMContext.h"
#include "llvm/IR/ProfileSummary.h"
#include "llvm/ProfileData/GCOV.h"
#include "llvm/ProfileData/SampleProf.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/Discriminator.h"
#include "llvm/Support/ErrorOr.h"
#include "llvm/Support/MemoryBuffer.h"
#include "llvm/Support/SymbolRemappingReader.h"
#include <algorithm>
#include <cstdint>
#include <memory>
#include <string>
#include <system_error>
#include <vector>
namespace llvm {
class raw_ostream;
class Twine;
namespace sampleprof {
class SampleProfileReader;
/// SampleProfileReaderItaniumRemapper remaps the profile data from a
/// sample profile data reader, by applying a provided set of equivalences
/// between components of the symbol names in the profile.
class SampleProfileReaderItaniumRemapper {
public:
SampleProfileReaderItaniumRemapper(std::unique_ptr<MemoryBuffer> B,
std::unique_ptr<SymbolRemappingReader> SRR,
SampleProfileReader &R)
: Buffer(std::move(B)), Remappings(std::move(SRR)), Reader(R) {
assert(Remappings && "Remappings cannot be nullptr");
}
/// Create a remapper from the given remapping file. The remapper will
/// be used for profile read in by Reader.
static ErrorOr<std::unique_ptr<SampleProfileReaderItaniumRemapper>>
create(const std::string Filename, SampleProfileReader &Reader,
LLVMContext &C);
/// Create a remapper from the given Buffer. The remapper will
/// be used for profile read in by Reader.
static ErrorOr<std::unique_ptr<SampleProfileReaderItaniumRemapper>>
create(std::unique_ptr<MemoryBuffer> &B, SampleProfileReader &Reader,
LLVMContext &C);
/// Apply remappings to the profile read by Reader.
void applyRemapping(LLVMContext &Ctx);
bool hasApplied() { return RemappingApplied; }
/// Insert function name into remapper.
void insert(StringRef FunctionName) { Remappings->insert(FunctionName); }
/// Query whether there is equivalent in the remapper which has been
/// inserted.
bool exist(StringRef FunctionName) {
return Remappings->lookup(FunctionName);
}
/// Return the equivalent name in the profile for \p FunctionName if
/// it exists.
Optional<StringRef> lookUpNameInProfile(StringRef FunctionName);
private:
// The buffer holding the content read from remapping file.
std::unique_ptr<MemoryBuffer> Buffer;
std::unique_ptr<SymbolRemappingReader> Remappings;
// Map remapping key to the name in the profile. By looking up the
// key in the remapper, a given new name can be mapped to the
// cannonical name using the NameMap.
DenseMap<SymbolRemappingReader::Key, StringRef> NameMap;
// The Reader the remapper is servicing.
SampleProfileReader &Reader;
// Indicate whether remapping has been applied to the profile read
// by Reader -- by calling applyRemapping.
bool RemappingApplied = false;
};
/// Sample-based profile reader.
///
/// Each profile contains sample counts for all the functions
/// executed. Inside each function, statements are annotated with the
/// collected samples on all the instructions associated with that
/// statement.
///
/// For this to produce meaningful data, the program needs to be
/// compiled with some debug information (at minimum, line numbers:
/// -gline-tables-only). Otherwise, it will be impossible to match IR
/// instructions to the line numbers collected by the profiler.
///
/// From the profile file, we are interested in collecting the
/// following information:
///
/// * A list of functions included in the profile (mangled names).
///
/// * For each function F:
/// 1. The total number of samples collected in F.
///
/// 2. The samples collected at each line in F. To provide some
/// protection against source code shuffling, line numbers should
/// be relative to the start of the function.
///
/// The reader supports two file formats: text and binary. The text format
/// is useful for debugging and testing, while the binary format is more
/// compact and I/O efficient. They can both be used interchangeably.
class SampleProfileReader {
public:
SampleProfileReader(std::unique_ptr<MemoryBuffer> B, LLVMContext &C,
SampleProfileFormat Format = SPF_None)
: Profiles(0), Ctx(C), Buffer(std::move(B)), Format(Format) {}
virtual ~SampleProfileReader() = default;
/// Read and validate the file header.
virtual std::error_code readHeader() = 0;
/// Set the bits for FS discriminators. Parameter Pass specify the sequence
/// number, Pass == i is for the i-th round of adding FS discriminators.
/// Pass == 0 is for using base discriminators.
void setDiscriminatorMaskedBitFrom(FSDiscriminatorPass P) {
MaskedBitFrom = getFSPassBitEnd(P);
}
/// Get the bitmask the discriminators: For FS profiles, return the bit
/// mask for this pass. For non FS profiles, return (unsigned) -1.
uint32_t getDiscriminatorMask() const {
if (!ProfileIsFS)
return 0xFFFFFFFF;
assert((MaskedBitFrom != 0) && "MaskedBitFrom is not set properly");
return getN1Bits(MaskedBitFrom);
}
/// The interface to read sample profiles from the associated file.
std::error_code read() {
if (std::error_code EC = readImpl())
return EC;
if (Remapper)
Remapper->applyRemapping(Ctx);
FunctionSamples::UseMD5 = useMD5();
return sampleprof_error::success;
}
/// The implementaion to read sample profiles from the associated file.
virtual std::error_code readImpl() = 0;
/// Print the profile for \p FName on stream \p OS.
void dumpFunctionProfile(StringRef FName, raw_ostream &OS = dbgs());
/// Collect functions with definitions in Module M. For reader which
/// support loading function profiles on demand, return true when the
/// reader has been given a module. Always return false for reader
/// which doesn't support loading function profiles on demand.
virtual bool collectFuncsFromModule() { return false; }
/// Print all the profiles on stream \p OS.
void dump(raw_ostream &OS = dbgs());
/// Return the samples collected for function \p F.
FunctionSamples *getSamplesFor(const Function &F) {
// The function name may have been updated by adding suffix. Call
// a helper to (optionally) strip off suffixes so that we can
// match against the original function name in the profile.
StringRef CanonName = FunctionSamples::getCanonicalFnName(F);
return getSamplesFor(CanonName);
}
/// Return the samples collected for function \p F, create empty
/// FunctionSamples if it doesn't exist.
FunctionSamples *getOrCreateSamplesFor(const Function &F) {
std::string FGUID;
StringRef CanonName = FunctionSamples::getCanonicalFnName(F);
CanonName = getRepInFormat(CanonName, useMD5(), FGUID);
return &Profiles[CanonName];
}
/// Return the samples collected for function \p F.
virtual FunctionSamples *getSamplesFor(StringRef Fname) {
std::string FGUID;
Fname = getRepInFormat(Fname, useMD5(), FGUID);
auto It = Profiles.find(Fname);
if (It != Profiles.end())
return &It->second;
if (Remapper) {
if (auto NameInProfile = Remapper->lookUpNameInProfile(Fname)) {
auto It = Profiles.find(*NameInProfile);
if (It != Profiles.end())
return &It->second;
}
}
return nullptr;
}
/// Return all the profiles.
StringMap<FunctionSamples> &getProfiles() { return Profiles; }
/// Report a parse error message.
void reportError(int64_t LineNumber, const Twine &Msg) const {
Ctx.diagnose(DiagnosticInfoSampleProfile(Buffer->getBufferIdentifier(),
LineNumber, Msg));
}
/// Create a sample profile reader appropriate to the file format.
/// Create a remapper underlying if RemapFilename is not empty.
/// Parameter P specifies the FSDiscriminatorPass.
static ErrorOr<std::unique_ptr<SampleProfileReader>>
create(const std::string Filename, LLVMContext &C,
FSDiscriminatorPass P = FSDiscriminatorPass::Base,
const std::string RemapFilename = "");
/// Create a sample profile reader from the supplied memory buffer.
/// Create a remapper underlying if RemapFilename is not empty.
/// Parameter P specifies the FSDiscriminatorPass.
static ErrorOr<std::unique_ptr<SampleProfileReader>>
create(std::unique_ptr<MemoryBuffer> &B, LLVMContext &C,
FSDiscriminatorPass P = FSDiscriminatorPass::Base,
const std::string RemapFilename = "");
/// Return the profile summary.
ProfileSummary &getSummary() const { return *(Summary.get()); }
MemoryBuffer *getBuffer() const { return Buffer.get(); }
/// \brief Return the profile format.
SampleProfileFormat getFormat() const { return Format; }
/// Whether input profile is based on pseudo probes.
bool profileIsProbeBased() const { return ProfileIsProbeBased; }
/// Whether input profile is fully context-sensitive
bool profileIsCS() const { return ProfileIsCS; }
virtual std::unique_ptr<ProfileSymbolList> getProfileSymbolList() {
return nullptr;
};
/// It includes all the names that have samples either in outline instance
/// or inline instance.
virtual std::vector<StringRef> *getNameTable() { return nullptr; }
virtual bool dumpSectionInfo(raw_ostream &OS = dbgs()) { return false; };
/// Return whether names in the profile are all MD5 numbers.
virtual bool useMD5() { return false; }
/// Don't read profile without context if the flag is set. This is only meaningful
/// for ExtBinary format.
virtual void setSkipFlatProf(bool Skip) {}
/// Return whether any name in the profile contains ".__uniq." suffix.
virtual bool hasUniqSuffix() { return false; }
SampleProfileReaderItaniumRemapper *getRemapper() { return Remapper.get(); }
void setModule(const Module *Mod) { M = Mod; }
protected:
/// Map every function to its associated profile.
///
/// The profile of every function executed at runtime is collected
/// in the structure FunctionSamples. This maps function objects
/// to their corresponding profiles.
StringMap<FunctionSamples> Profiles;
/// LLVM context used to emit diagnostics.
LLVMContext &Ctx;
/// Memory buffer holding the profile file.
std::unique_ptr<MemoryBuffer> Buffer;
/// Profile summary information.
std::unique_ptr<ProfileSummary> Summary;
/// Take ownership of the summary of this reader.
static std::unique_ptr<ProfileSummary>
takeSummary(SampleProfileReader &Reader) {
return std::move(Reader.Summary);
}
/// Compute summary for this profile.
void computeSummary();
std::unique_ptr<SampleProfileReaderItaniumRemapper> Remapper;
/// \brief Whether samples are collected based on pseudo probes.
bool ProfileIsProbeBased = false;
/// Whether function profiles are context-sensitive.
bool ProfileIsCS = false;
/// Number of context-sensitive profiles.
uint32_t CSProfileCount = 0;
/// Whether the function profiles use FS discriminators.
bool ProfileIsFS = false;
/// \brief The format of sample.
SampleProfileFormat Format = SPF_None;
/// \brief The current module being compiled if SampleProfileReader
/// is used by compiler. If SampleProfileReader is used by other
/// tools which are not compiler, M is usually nullptr.
const Module *M = nullptr;
/// Zero out the discriminator bits higher than bit MaskedBitFrom (0 based).
/// The default is to keep all the bits.
uint32_t MaskedBitFrom = 31;
};
class SampleProfileReaderText : public SampleProfileReader {
public:
SampleProfileReaderText(std::unique_ptr<MemoryBuffer> B, LLVMContext &C)
: SampleProfileReader(std::move(B), C, SPF_Text) {}
/// Read and validate the file header.
std::error_code readHeader() override { return sampleprof_error::success; }
/// Read sample profiles from the associated file.
std::error_code readImpl() override;
/// Return true if \p Buffer is in the format supported by this class.
static bool hasFormat(const MemoryBuffer &Buffer);
};
class SampleProfileReaderBinary : public SampleProfileReader {
public:
SampleProfileReaderBinary(std::unique_ptr<MemoryBuffer> B, LLVMContext &C,
SampleProfileFormat Format = SPF_None)
: SampleProfileReader(std::move(B), C, Format) {}
/// Read and validate the file header.
virtual std::error_code readHeader() override;
/// Read sample profiles from the associated file.
std::error_code readImpl() override;
/// It includes all the names that have samples either in outline instance
/// or inline instance.
virtual std::vector<StringRef> *getNameTable() override { return &NameTable; }
protected:
/// Read a numeric value of type T from the profile.
///
/// If an error occurs during decoding, a diagnostic message is emitted and
/// EC is set.
///
/// \returns the read value.
template <typename T> ErrorOr<T> readNumber();
/// Read a numeric value of type T from the profile. The value is saved
/// without encoded.
template <typename T> ErrorOr<T> readUnencodedNumber();
/// Read a string from the profile.
///
/// If an error occurs during decoding, a diagnostic message is emitted and
/// EC is set.
///
/// \returns the read value.
ErrorOr<StringRef> readString();
/// Read the string index and check whether it overflows the table.
template <typename T> inline ErrorOr<uint32_t> readStringIndex(T &Table);
/// Return true if we've reached the end of file.
bool at_eof() const { return Data >= End; }
/// Read the next function profile instance.
std::error_code readFuncProfile(const uint8_t *Start);
/// Read the contents of the given profile instance.
std::error_code readProfile(FunctionSamples &FProfile);
/// Read the contents of Magic number and Version number.
std::error_code readMagicIdent();
/// Read profile summary.
std::error_code readSummary();
/// Read the whole name table.
virtual std::error_code readNameTable();
/// Points to the current location in the buffer.
const uint8_t *Data = nullptr;
/// Points to the end of the buffer.
const uint8_t *End = nullptr;
/// Function name table.
std::vector<StringRef> NameTable;
/// Read a string indirectly via the name table.
virtual ErrorOr<StringRef> readStringFromTable();
private:
std::error_code readSummaryEntry(std::vector<ProfileSummaryEntry> &Entries);
virtual std::error_code verifySPMagic(uint64_t Magic) = 0;
};
class SampleProfileReaderRawBinary : public SampleProfileReaderBinary {
private:
virtual std::error_code verifySPMagic(uint64_t Magic) override;
public:
SampleProfileReaderRawBinary(std::unique_ptr<MemoryBuffer> B, LLVMContext &C,
SampleProfileFormat Format = SPF_Binary)
: SampleProfileReaderBinary(std::move(B), C, Format) {}
/// \brief Return true if \p Buffer is in the format supported by this class.
static bool hasFormat(const MemoryBuffer &Buffer);
};
/// SampleProfileReaderExtBinaryBase/SampleProfileWriterExtBinaryBase defines
/// the basic structure of the extensible binary format.
/// The format is organized in sections except the magic and version number
/// at the beginning. There is a section table before all the sections, and
/// each entry in the table describes the entry type, start, size and
/// attributes. The format in each section is defined by the section itself.
///
/// It is easy to add a new section while maintaining the backward
/// compatibility of the profile. Nothing extra needs to be done. If we want
/// to extend an existing section, like add cache misses information in
/// addition to the sample count in the profile body, we can add a new section
/// with the extension and retire the existing section, and we could choose
/// to keep the parser of the old section if we want the reader to be able
/// to read both new and old format profile.
///
/// SampleProfileReaderExtBinary/SampleProfileWriterExtBinary define the
/// commonly used sections of a profile in extensible binary format. It is
/// possible to define other types of profile inherited from
/// SampleProfileReaderExtBinaryBase/SampleProfileWriterExtBinaryBase.
class SampleProfileReaderExtBinaryBase : public SampleProfileReaderBinary {
private:
std::error_code decompressSection(const uint8_t *SecStart,
const uint64_t SecSize,
const uint8_t *&DecompressBuf,
uint64_t &DecompressBufSize);
BumpPtrAllocator Allocator;
protected:
std::vector<SecHdrTableEntry> SecHdrTable;
std::error_code readSecHdrTableEntry(uint32_t Idx);
std::error_code readSecHdrTable();
std::error_code readFuncMetadata(bool ProfileHasAttribute);
std::error_code readFuncOffsetTable();
std::error_code readFuncProfiles();
std::error_code readMD5NameTable();
std::error_code readNameTableSec(bool IsMD5);
std::error_code readProfileSymbolList();
virtual std::error_code readHeader() override;
virtual std::error_code verifySPMagic(uint64_t Magic) override = 0;
virtual std::error_code readOneSection(const uint8_t *Start, uint64_t Size,
const SecHdrTableEntry &Entry);
// placeholder for subclasses to dispatch their own section readers.
virtual std::error_code readCustomSection(const SecHdrTableEntry &Entry) = 0;
virtual ErrorOr<StringRef> readStringFromTable() override;
std::unique_ptr<ProfileSymbolList> ProfSymList;
/// The table mapping from function name to the offset of its FunctionSample
/// towards file start.
DenseMap<StringRef, uint64_t> FuncOffsetTable;
/// The set containing the functions to use when compiling a module.
DenseSet<StringRef> FuncsToUse;
/// Use fixed length MD5 instead of ULEB128 encoding so NameTable doesn't
/// need to be read in up front and can be directly accessed using index.
bool FixedLengthMD5 = false;
/// The starting address of NameTable containing fixed length MD5.
const uint8_t *MD5NameMemStart = nullptr;
/// If MD5 is used in NameTable section, the section saves uint64_t data.
/// The uint64_t data has to be converted to a string and then the string
/// will be used to initialize StringRef in NameTable.
/// Note NameTable contains StringRef so it needs another buffer to own
/// the string data. MD5StringBuf serves as the string buffer that is
/// referenced by NameTable (vector of StringRef). We make sure
/// the lifetime of MD5StringBuf is not shorter than that of NameTable.
std::unique_ptr<std::vector<std::string>> MD5StringBuf;
/// If SkipFlatProf is true, skip the sections with
/// SecFlagFlat flag.
bool SkipFlatProf = false;
public:
SampleProfileReaderExtBinaryBase(std::unique_ptr<MemoryBuffer> B,
LLVMContext &C, SampleProfileFormat Format)
: SampleProfileReaderBinary(std::move(B), C, Format) {}
/// Read sample profiles in extensible format from the associated file.
std::error_code readImpl() override;
/// Get the total size of all \p Type sections.
uint64_t getSectionSize(SecType Type);
/// Get the total size of header and all sections.
uint64_t getFileSize();
virtual bool dumpSectionInfo(raw_ostream &OS = dbgs()) override;
/// Collect functions with definitions in Module M. Return true if
/// the reader has been given a module.
bool collectFuncsFromModule() override;
/// Return whether names in the profile are all MD5 numbers.
virtual bool useMD5() override { return MD5StringBuf.get(); }
virtual std::unique_ptr<ProfileSymbolList> getProfileSymbolList() override {
return std::move(ProfSymList);
};
virtual void setSkipFlatProf(bool Skip) override { SkipFlatProf = Skip; }
};
class SampleProfileReaderExtBinary : public SampleProfileReaderExtBinaryBase {
private:
virtual std::error_code verifySPMagic(uint64_t Magic) override;
virtual std::error_code
readCustomSection(const SecHdrTableEntry &Entry) override {
return sampleprof_error::success;
};
public:
SampleProfileReaderExtBinary(std::unique_ptr<MemoryBuffer> B, LLVMContext &C,
SampleProfileFormat Format = SPF_Ext_Binary)
: SampleProfileReaderExtBinaryBase(std::move(B), C, Format) {}
/// \brief Return true if \p Buffer is in the format supported by this class.
static bool hasFormat(const MemoryBuffer &Buffer);
};
class SampleProfileReaderCompactBinary : public SampleProfileReaderBinary {
private:
/// Function name table.
std::vector<std::string> NameTable;
/// The table mapping from function name to the offset of its FunctionSample
/// towards file start.
DenseMap<StringRef, uint64_t> FuncOffsetTable;
/// The set containing the functions to use when compiling a module.
DenseSet<StringRef> FuncsToUse;
virtual std::error_code verifySPMagic(uint64_t Magic) override;
virtual std::error_code readNameTable() override;
/// Read a string indirectly via the name table.
virtual ErrorOr<StringRef> readStringFromTable() override;
virtual std::error_code readHeader() override;
std::error_code readFuncOffsetTable();
public:
SampleProfileReaderCompactBinary(std::unique_ptr<MemoryBuffer> B,
LLVMContext &C)
: SampleProfileReaderBinary(std::move(B), C, SPF_Compact_Binary) {}
/// \brief Return true if \p Buffer is in the format supported by this class.
static bool hasFormat(const MemoryBuffer &Buffer);
/// Read samples only for functions to use.
std::error_code readImpl() override;
/// Collect functions with definitions in Module M. Return true if
/// the reader has been given a module.
bool collectFuncsFromModule() override;
/// Return whether names in the profile are all MD5 numbers.
virtual bool useMD5() override { return true; }
};
using InlineCallStack = SmallVector<FunctionSamples *, 10>;
// Supported histogram types in GCC. Currently, we only need support for
// call target histograms.
enum HistType {
HIST_TYPE_INTERVAL,
HIST_TYPE_POW2,
HIST_TYPE_SINGLE_VALUE,
HIST_TYPE_CONST_DELTA,
HIST_TYPE_INDIR_CALL,
HIST_TYPE_AVERAGE,
HIST_TYPE_IOR,
HIST_TYPE_INDIR_CALL_TOPN
};
class SampleProfileReaderGCC : public SampleProfileReader {
public:
SampleProfileReaderGCC(std::unique_ptr<MemoryBuffer> B, LLVMContext &C)
: SampleProfileReader(std::move(B), C, SPF_GCC),
GcovBuffer(Buffer.get()) {}
/// Read and validate the file header.
std::error_code readHeader() override;
/// Read sample profiles from the associated file.
std::error_code readImpl() override;
/// Return true if \p Buffer is in the format supported by this class.
static bool hasFormat(const MemoryBuffer &Buffer);
protected:
std::error_code readNameTable();
std::error_code readOneFunctionProfile(const InlineCallStack &InlineStack,
bool Update, uint32_t Offset);
std::error_code readFunctionProfiles();
std::error_code skipNextWord();
template <typename T> ErrorOr<T> readNumber();
ErrorOr<StringRef> readString();
/// Read the section tag and check that it's the same as \p Expected.
std::error_code readSectionTag(uint32_t Expected);
/// GCOV buffer containing the profile.
GCOVBuffer GcovBuffer;
/// Function names in this profile.
std::vector<std::string> Names;
/// GCOV tags used to separate sections in the profile file.
static const uint32_t GCOVTagAFDOFileNames = 0xaa000000;
static const uint32_t GCOVTagAFDOFunction = 0xac000000;
};
} // end namespace sampleprof
} // end namespace llvm
#endif // LLVM_PROFILEDATA_SAMPLEPROFREADER_H