llvm-6502/lib/ProfileData/SampleProfReader.cpp
Diego Novillo e75c2b3e54 Add profile writing capabilities for sampling profiles.
Summary:
This patch finishes up support for handling sampling profiles in both
text and binary formats. The new binary format uses uleb128 encoding to
represent numeric values. This makes profiles files about 25% smaller.

The profile writer class can write profiles in the existing text and the
new binary format. In subsequent patches, I will add the capability to
read (and perhaps write) profiles in the gcov format used by GCC.

Additionally, I will be adding support in llvm-profdata to manipulate
sampling profiles.

There was a bit of refactoring needed to separate some code that was in
the reader files, but is actually common to both the reader and writer.

The new test checks that reading the same profile encoded as text or
raw, produces the same results.

Reviewers: bogner, dexonsmith

Subscribers: llvm-commits

Differential Revision: http://reviews.llvm.org/D6000

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@220915 91177308-0d34-0410-b5e6-96231b3b80d8
2014-10-30 18:00:06 +00:00

413 lines
15 KiB
C++

//===- SampleProfReader.cpp - Read LLVM sample profile data ---------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// This file implements the class that reads LLVM sample profiles. It
// supports two file formats: text and binary. The textual representation
// is useful for debugging and testing purposes. The binary representation
// is more compact, resulting in smaller file sizes. However, they can
// both be used interchangeably.
//
// NOTE: If you are making changes to the 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 ... ]
//
// The file may contain blank lines between sections and within a
// section. However, the spacing within a single line is fixed. Additional
// spaces will result in an error while reading the file.
//
// 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.
//
// 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.
//
//===----------------------------------------------------------------------===//
#include "llvm/ProfileData/SampleProfReader.h"
#include "llvm/ProfileData/SampleProfWriter.h" // REMOVE
#include "llvm/Support/Debug.h"
#include "llvm/Support/ErrorOr.h"
#include "llvm/Support/LEB128.h"
#include "llvm/Support/LineIterator.h"
#include "llvm/Support/MemoryBuffer.h"
#include "llvm/Support/Regex.h"
using namespace llvm::sampleprof;
using namespace llvm;
/// \brief Print the samples collected for a function on stream \p OS.
///
/// \param OS Stream to emit the output to.
void FunctionSamples::print(raw_ostream &OS) {
OS << TotalSamples << ", " << TotalHeadSamples << ", " << BodySamples.size()
<< " sampled lines\n";
for (BodySampleMap::const_iterator SI = BodySamples.begin(),
SE = BodySamples.end();
SI != SE; ++SI) {
LineLocation Loc = SI->first;
SampleRecord Sample = SI->second;
OS << "\tline offset: " << Loc.LineOffset
<< ", discriminator: " << Loc.Discriminator
<< ", number of samples: " << Sample.getSamples();
if (Sample.hasCalls()) {
OS << ", calls:";
for (SampleRecord::CallTargetList::const_iterator
I = Sample.getCallTargets().begin(),
E = Sample.getCallTargets().end();
I != E; ++I)
OS << " " << (*I).first << ":" << (*I).second;
}
OS << "\n";
}
OS << "\n";
}
/// \brief Print the function profile for \p FName on stream \p OS.
///
/// \param OS Stream to emit the output to.
/// \param FName Name of the function to print.
void SampleProfileReader::printFunctionProfile(raw_ostream &OS,
StringRef FName) {
OS << "Function: " << FName << ": ";
Profiles[FName].print(OS);
}
/// \brief Dump the function profile for \p FName.
///
/// \param FName Name of the function to print.
void SampleProfileReader::dumpFunctionProfile(StringRef FName) {
printFunctionProfile(dbgs(), FName);
}
/// \brief Dump all the function profiles found.
void SampleProfileReader::dump() {
for (StringMap<FunctionSamples>::const_iterator I = Profiles.begin(),
E = Profiles.end();
I != E; ++I)
dumpFunctionProfile(I->getKey());
}
/// \brief Load samples from a text file.
///
/// See the documentation at the top of the file for an explanation of
/// the expected format.
///
/// \returns true if the file was loaded successfully, false otherwise.
std::error_code SampleProfileReaderText::read() {
line_iterator LineIt(*Buffer, /*SkipBlanks=*/true, '#');
// Read the profile of each function. Since each function may be
// mentioned more than once, and we are collecting flat profiles,
// accumulate samples as we parse them.
Regex HeadRE("^([^0-9].*):([0-9]+):([0-9]+)$");
Regex LineSampleRE("^([0-9]+)\\.?([0-9]+)?: ([0-9]+)(.*)$");
Regex CallSampleRE(" +([^0-9 ][^ ]*):([0-9]+)");
while (!LineIt.is_at_eof()) {
// Read the header of each function.
//
// Note that for function identifiers we are actually expecting
// mangled names, but we may not always get them. This happens when
// the compiler decides not to emit the function (e.g., it was inlined
// and removed). In this case, the binary will not have the linkage
// name for the function, so the profiler will emit the function's
// unmangled name, which may contain characters like ':' and '>' in its
// name (member functions, templates, etc).
//
// The only requirement we place on the identifier, then, is that it
// should not begin with a number.
SmallVector<StringRef, 4> Matches;
if (!HeadRE.match(*LineIt, &Matches)) {
reportParseError(LineIt.line_number(),
"Expected 'mangled_name:NUM:NUM', found " + *LineIt);
return sampleprof_error::malformed;
}
assert(Matches.size() == 4);
StringRef FName = Matches[1];
unsigned NumSamples, NumHeadSamples;
Matches[2].getAsInteger(10, NumSamples);
Matches[3].getAsInteger(10, NumHeadSamples);
Profiles[FName] = FunctionSamples();
FunctionSamples &FProfile = Profiles[FName];
FProfile.addTotalSamples(NumSamples);
FProfile.addHeadSamples(NumHeadSamples);
++LineIt;
// Now read the body. The body of the function ends when we reach
// EOF or when we see the start of the next function.
while (!LineIt.is_at_eof() && isdigit((*LineIt)[0])) {
if (!LineSampleRE.match(*LineIt, &Matches)) {
reportParseError(
LineIt.line_number(),
"Expected 'NUM[.NUM]: NUM[ mangled_name:NUM]*', found " + *LineIt);
return sampleprof_error::malformed;
}
assert(Matches.size() == 5);
unsigned LineOffset, NumSamples, Discriminator = 0;
Matches[1].getAsInteger(10, LineOffset);
if (Matches[2] != "")
Matches[2].getAsInteger(10, Discriminator);
Matches[3].getAsInteger(10, NumSamples);
// If there are function calls in this line, generate a call sample
// entry for each call.
std::string CallsLine(Matches[4]);
while (CallsLine != "") {
SmallVector<StringRef, 3> CallSample;
if (!CallSampleRE.match(CallsLine, &CallSample)) {
reportParseError(LineIt.line_number(),
"Expected 'mangled_name:NUM', found " + CallsLine);
return sampleprof_error::malformed;
}
StringRef CalledFunction = CallSample[1];
unsigned CalledFunctionSamples;
CallSample[2].getAsInteger(10, CalledFunctionSamples);
FProfile.addCalledTargetSamples(LineOffset, Discriminator,
CalledFunction, CalledFunctionSamples);
CallsLine = CallSampleRE.sub("", CallsLine);
}
FProfile.addBodySamples(LineOffset, Discriminator, NumSamples);
++LineIt;
}
}
return sampleprof_error::success;
}
template <typename T>
ErrorOr<T> SampleProfileReaderBinary::readNumber() {
unsigned NumBytesRead = 0;
std::error_code EC;
uint64_t Val = decodeULEB128(Data, &NumBytesRead);
if (Val > std::numeric_limits<T>::max())
EC = sampleprof_error::malformed;
else if (Data + NumBytesRead > End)
EC = sampleprof_error::truncated;
else
EC = sampleprof_error::success;
if (EC) {
reportParseError(0, EC.message());
return EC;
}
Data += NumBytesRead;
return static_cast<T>(Val);
}
ErrorOr<StringRef> SampleProfileReaderBinary::readString() {
std::error_code EC;
StringRef Str(reinterpret_cast<const char *>(Data));
if (Data + Str.size() + 1 > End) {
EC = sampleprof_error::truncated;
reportParseError(0, EC.message());
return EC;
}
Data += Str.size() + 1;
return Str;
}
std::error_code SampleProfileReaderBinary::read() {
while (!at_eof()) {
auto FName(readString());
if (std::error_code EC = FName.getError())
return EC;
Profiles[*FName] = FunctionSamples();
FunctionSamples &FProfile = Profiles[*FName];
auto Val = readNumber<unsigned>();
if (std::error_code EC = Val.getError())
return EC;
FProfile.addTotalSamples(*Val);
Val = readNumber<unsigned>();
if (std::error_code EC = Val.getError())
return EC;
FProfile.addHeadSamples(*Val);
// Read the samples in the body.
auto NumRecords = readNumber<unsigned>();
if (std::error_code EC = NumRecords.getError())
return EC;
for (unsigned I = 0; I < *NumRecords; ++I) {
auto LineOffset = readNumber<uint64_t>();
if (std::error_code EC = LineOffset.getError())
return EC;
auto Discriminator = readNumber<uint64_t>();
if (std::error_code EC = Discriminator.getError())
return EC;
auto NumSamples = readNumber<uint64_t>();
if (std::error_code EC = NumSamples.getError())
return EC;
auto NumCalls = readNumber<unsigned>();
if (std::error_code EC = NumCalls.getError())
return EC;
for (unsigned J = 0; J < *NumCalls; ++J) {
auto CalledFunction(readString());
if (std::error_code EC = CalledFunction.getError())
return EC;
auto CalledFunctionSamples = readNumber<uint64_t>();
if (std::error_code EC = CalledFunctionSamples.getError())
return EC;
FProfile.addCalledTargetSamples(*LineOffset, *Discriminator,
*CalledFunction,
*CalledFunctionSamples);
}
FProfile.addBodySamples(*LineOffset, *Discriminator, *NumSamples);
}
}
return sampleprof_error::success;
}
std::error_code SampleProfileReaderBinary::readHeader() {
Data = reinterpret_cast<const uint8_t *>(Buffer->getBufferStart());
End = Data + Buffer->getBufferSize();
// Read and check the magic identifier.
auto Magic = readNumber<uint64_t>();
if (std::error_code EC = Magic.getError())
return EC;
else if (*Magic != SPMagic())
return sampleprof_error::bad_magic;
// Read the version number.
auto Version = readNumber<uint64_t>();
if (std::error_code EC = Version.getError())
return EC;
else if (*Version != SPVersion())
return sampleprof_error::unsupported_version;
return sampleprof_error::success;
}
bool SampleProfileReaderBinary::hasFormat(const MemoryBuffer &Buffer) {
const uint8_t *Data =
reinterpret_cast<const uint8_t *>(Buffer.getBufferStart());
uint64_t Magic = decodeULEB128(Data);
return Magic == SPMagic();
}
/// \brief Prepare a memory buffer for the contents of \p Filename.
///
/// \returns an error code indicating the status of the buffer.
static std::error_code
setupMemoryBuffer(std::string Filename, std::unique_ptr<MemoryBuffer> &Buffer) {
auto BufferOrErr = MemoryBuffer::getFileOrSTDIN(Filename);
if (std::error_code EC = BufferOrErr.getError())
return EC;
Buffer = std::move(BufferOrErr.get());
// Sanity check the file.
if (Buffer->getBufferSize() > std::numeric_limits<unsigned>::max())
return sampleprof_error::too_large;
return sampleprof_error::success;
}
/// \brief Create a sample profile reader based on the format of the input file.
///
/// \param Filename The file to open.
///
/// \param Reader The reader to instantiate according to \p Filename's format.
///
/// \param C The LLVM context to use to emit diagnostics.
///
/// \returns an error code indicating the status of the created reader.
std::error_code
SampleProfileReader::create(std::string Filename,
std::unique_ptr<SampleProfileReader> &Reader,
LLVMContext &C) {
std::unique_ptr<MemoryBuffer> Buffer;
if (std::error_code EC = setupMemoryBuffer(Filename, Buffer))
return EC;
if (SampleProfileReaderBinary::hasFormat(*Buffer))
Reader.reset(new SampleProfileReaderBinary(std::move(Buffer), C));
else
Reader.reset(new SampleProfileReaderText(std::move(Buffer), C));
return Reader->readHeader();
}