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wlei db7fa377e4 [CSSPGO][llvm-profgen] Context-sensitive profile data generation
This stack of changes introduces `llvm-profgen` utility which generates a profile data file from given perf script data files for sample-based PGO. It’s part of(not only) the CSSPGO work. Specifically to support context-sensitive with/without pseudo probe profile, it implements a series of functionalities including perf trace parsing, instruction symbolization, LBR stack/call frame stack unwinding, pseudo probe decoding, etc. Also high throughput is achieved by multiple levels of sample aggregation and compatible format with one stop is generated at the end. Please refer to: https://groups.google.com/g/llvm-dev/c/1p1rdYbL93s for the CSSPGO RFC.

This change supports context-sensitive profile data generation into llvm-profgen. With simultaneous sampling for LBR and call stack, we can identify leaf of LBR sample with calling context from stack sample . During the process of deriving fall through path from LBR entries, we unwind LBR by replaying all the calls and returns (including implicit calls/returns due to inlining) backwards on top of the sampled call stack. Then the state of call stack as we unwind through LBR always represents the calling context of current fall through path.

we have two types of virtual unwinding 1) LBR unwinding and 2) linear range unwinding.
Specifically, for each LBR entry which can be classified into call, return, regular branch, LBR unwinding will replay the operation by pushing, popping or switching leaf frame towards the call stack and since the initial call stack is most recently sampled, the replay should be in anti-execution order, i.e. for the regular case, pop the call stack when LBR is call, push frame on call stack when LBR is return. After each LBR processed, it also needs to align with the next LBR by going through instructions from previous LBR's target to current LBR's source, which we named linear unwinding. As instruction from linear range can come from different function by inlining, linear unwinding will do the range splitting and record counters through the range with same inline context.

With each fall through path from LBR unwinding, we aggregate each sample into counters by the calling context and eventually generate full context sensitive profile (without relying on inlining) to driver compiler's PGO/FDO.

A breakdown of noteworthy changes:
- Added `HybridSample` class as the abstraction perf sample including LBR stack and call stack
* Extended `PerfReader` to implement auto-detect whether input perf script output contains CS profile, then do the parsing. Multiple `HybridSample` are extracted
* Speed up by aggregating  `HybridSample` into `AggregatedSamples`
* Added VirtualUnwinder that consumes aggregated  `HybridSample` and implements unwinding of calls, returns, and linear path that contains implicit call/return from inlining. Ranges and branches counters are aggregated by the calling context.
 Here calling context is string type, each context is a pair of function name and callsite location info, the whole context is like `main:1 @ foo:2 @ bar`.
* Added PorfileGenerater that accumulates counters by ranges unfolding or branch target mapping, then generates context-sensitive function profile including function body, inferring callee's head sample, callsite target samples, eventually records into ProfileMap.

* Leveraged LLVM build-in(`SampleProfWriter`) writer to support different serialization format with no stop
- `getCanonicalFnName` for callee name and name from ELF section
- Added regression test for both unwinding and profile generation

Test Plan:
ninja & ninja check-llvm

Reviewed By: hoy, wenlei, wmi

Differential Revision: https://reviews.llvm.org/D89723
2020-12-07 13:48:58 -08:00

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C++

//===-- PerfReader.h - perfscript reader -----------------------*- 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
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_TOOLS_LLVM_PROFGEN_PERFREADER_H
#define LLVM_TOOLS_LLVM_PROFGEN_PERFREADER_H
#include "ErrorHandling.h"
#include "ProfiledBinary.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/Regex.h"
#include <fstream>
#include <list>
#include <map>
#include <vector>
using namespace llvm;
using namespace sampleprof;
namespace llvm {
namespace sampleprof {
// Stream based trace line iterator
class TraceStream {
std::string CurrentLine;
std::ifstream Fin;
bool IsAtEoF = false;
uint64_t LineNumber = 0;
public:
TraceStream(StringRef Filename) : Fin(Filename.str()) {
if (!Fin.good())
exitWithError("Error read input perf script file", Filename);
advance();
}
StringRef getCurrentLine() {
assert(!IsAtEoF && "Line iterator reaches the End-of-File!");
return CurrentLine;
}
uint64_t getLineNumber() { return LineNumber; }
bool isAtEoF() { return IsAtEoF; }
// Read the next line
void advance() {
if (!std::getline(Fin, CurrentLine)) {
IsAtEoF = true;
return;
}
LineNumber++;
}
};
// The type of perfscript
enum PerfScriptType {
PERF_INVILID = 0,
PERF_LBR = 1, // Only LBR sample
PERF_LBR_STACK = 2, // Hybrid sample including call stack and LBR stack.
};
// The parsed LBR sample entry.
struct LBREntry {
uint64_t Source = 0;
uint64_t Target = 0;
// An artificial branch stands for a series of consecutive branches starting
// from the current binary with a transition through external code and
// eventually landing back in the current binary.
bool IsArtificial = false;
LBREntry(uint64_t S, uint64_t T, bool I)
: Source(S), Target(T), IsArtificial(I) {}
};
// The parsed hybrid sample including call stack and LBR stack.
struct HybridSample {
// Profiled binary that current frame address belongs to
ProfiledBinary *Binary;
// Call stack recorded in FILO(leaf to root) order
std::list<uint64_t> CallStack;
// LBR stack recorded in FIFO order
SmallVector<LBREntry, 16> LBRStack;
// Used for sample aggregation
bool operator==(const HybridSample &Other) const {
if (Other.Binary != Binary)
return false;
const std::list<uint64_t> &OtherCallStack = Other.CallStack;
const SmallVector<LBREntry, 16> &OtherLBRStack = Other.LBRStack;
if (CallStack.size() != OtherCallStack.size() ||
LBRStack.size() != OtherLBRStack.size())
return false;
auto Iter = CallStack.begin();
for (auto Address : OtherCallStack) {
if (Address != *Iter++)
return false;
}
for (size_t I = 0; I < OtherLBRStack.size(); I++) {
if (LBRStack[I].Source != OtherLBRStack[I].Source ||
LBRStack[I].Target != OtherLBRStack[I].Target)
return false;
}
return true;
}
};
// The state for the unwinder, it doesn't hold the data but only keep the
// pointer/index of the data, While unwinding, the CallStack is changed
// dynamicially and will be recorded as the context of the sample
struct UnwindState {
// Profiled binary that current frame address belongs to
const ProfiledBinary *Binary;
// TODO: switch to use trie for call stack
std::list<uint64_t> CallStack;
// Used to fall through the LBR stack
uint32_t LBRIndex = 0;
// Reference to HybridSample.LBRStack
const SmallVector<LBREntry, 16> &LBRStack;
// Used to iterate the address range
InstructionPointer InstPtr;
UnwindState(const HybridSample &Sample)
: Binary(Sample.Binary), CallStack(Sample.CallStack),
LBRStack(Sample.LBRStack),
InstPtr(Sample.Binary, Sample.CallStack.front()) {}
bool validateInitialState() {
uint64_t LBRLeaf = LBRStack[LBRIndex].Target;
uint64_t StackLeaf = CallStack.front();
// When we take a stack sample, ideally the sampling distance between the
// leaf IP of stack and the last LBR target shouldn't be very large.
// Use a heuristic size (0x100) to filter out broken records.
if (StackLeaf < LBRLeaf || StackLeaf >= LBRLeaf + 0x100) {
WithColor::warning() << "Bogus trace: stack tip = "
<< format("%#010x", StackLeaf)
<< ", LBR tip = " << format("%#010x\n", LBRLeaf);
return false;
}
return true;
}
void checkStateConsistency() {
assert(InstPtr.Address == CallStack.front() &&
"IP should align with context leaf");
}
std::string getExpandedContextStr() const {
return Binary->getExpandedContextStr(CallStack);
}
const ProfiledBinary *getBinary() const { return Binary; }
bool hasNextLBR() const { return LBRIndex < LBRStack.size(); }
uint64_t getCurrentLBRSource() const { return LBRStack[LBRIndex].Source; }
uint64_t getCurrentLBRTarget() const { return LBRStack[LBRIndex].Target; }
const LBREntry &getCurrentLBR() const { return LBRStack[LBRIndex]; }
void advanceLBR() { LBRIndex++; }
};
// The counter of branch samples for one function indexed by the branch,
// which is represented as the source and target offset pair.
using BranchSample = std::map<std::pair<uint64_t, uint64_t>, uint64_t>;
// The counter of range samples for one function indexed by the range,
// which is represented as the start and end offset pair.
using RangeSample = std::map<std::pair<uint64_t, uint64_t>, uint64_t>;
// Range sample counters indexed by the context string
using ContextRangeCounter = std::unordered_map<std::string, RangeSample>;
// Branch sample counters indexed by the context string
using ContextBranchCounter = std::unordered_map<std::string, BranchSample>;
// For Hybrid sample counters
struct ContextSampleCounters {
ContextRangeCounter RangeCounter;
ContextBranchCounter BranchCounter;
void recordRangeCount(std::string &ContextId, uint64_t Start, uint64_t End,
uint64_t Repeat) {
RangeCounter[ContextId][{Start, End}] += Repeat;
}
void recordBranchCount(std::string &ContextId, uint64_t Source,
uint64_t Target, uint64_t Repeat) {
BranchCounter[ContextId][{Source, Target}] += Repeat;
}
};
struct HybridSampleHash {
uint64_t hashCombine(uint64_t Hash, uint64_t Value) const {
// Simple DJB2 hash
return ((Hash << 5) + Hash) + Value;
}
uint64_t operator()(const HybridSample &Sample) const {
uint64_t Hash = 5381;
Hash = hashCombine(Hash, reinterpret_cast<uint64_t>(Sample.Binary));
for (const auto &Value : Sample.CallStack) {
Hash = hashCombine(Hash, Value);
}
for (const auto &Entry : Sample.LBRStack) {
Hash = hashCombine(Hash, Entry.Source);
Hash = hashCombine(Hash, Entry.Target);
}
return Hash;
}
};
// After parsing the sample, we record the samples by aggregating them
// into this structure and the value is the sample counter.
using AggregationCounter =
std::unordered_map<HybridSample, uint64_t, HybridSampleHash>;
/*
As in hybrid sample we have a group of LBRs and the most recent sampling call
stack, we can walk through those LBRs to infer more call stacks which would be
used as context for profile. VirtualUnwinder is the class to do the call stack
unwinding based on LBR state. Two types of unwinding are processd here:
1) LBR unwinding and 2) linear range unwinding.
Specifically, for each LBR entry(can be classified into call, return, regular
branch), LBR unwinding will replay the operation by pushing, popping or
switching leaf frame towards the call stack and since the initial call stack
is most recently sampled, the replay should be in anti-execution order, i.e. for
the regular case, pop the call stack when LBR is call, push frame on call stack
when LBR is return. After each LBR processed, it also needs to align with the
next LBR by going through instructions from previous LBR's target to current
LBR's source, which is the linear unwinding. As instruction from linear range
can come from different function by inlining, linear unwinding will do the range
splitting and record counters by the range with same inline context. Over those
unwinding process we will record each call stack as context id and LBR/linear
range as sample counter for further CS profile generation.
*/
class VirtualUnwinder {
public:
VirtualUnwinder(ContextSampleCounters *Counters) : SampleCounters(Counters) {}
bool isCallState(UnwindState &State) const {
// The tail call frame is always missing here in stack sample, we will
// use a specific tail call tracker to infer it.
return State.getBinary()->addressIsCall(State.getCurrentLBRSource());
}
bool isReturnState(UnwindState &State) const {
// Simply check addressIsReturn, as ret is always reliable, both for
// regular call and tail call.
return State.getBinary()->addressIsReturn(State.getCurrentLBRSource());
}
void unwindCall(UnwindState &State);
void unwindLinear(UnwindState &State, uint64_t Repeat);
void unwindReturn(UnwindState &State);
void unwindBranchWithinFrame(UnwindState &State);
bool unwind(const HybridSample &Sample, uint64_t Repeat);
void recordRangeCount(uint64_t Start, uint64_t End, UnwindState &State,
uint64_t Repeat);
void recordBranchCount(const LBREntry &Branch, UnwindState &State,
uint64_t Repeat);
private:
ContextSampleCounters *SampleCounters;
};
// Filename to binary map
using BinaryMap = StringMap<ProfiledBinary>;
// Address to binary map for fast look-up
using AddressBinaryMap = std::map<uint64_t, ProfiledBinary *>;
// Binary to ContextSampleCounters Map to support multiple binary, we may have
// same binary loaded at different addresses, they should share the same sample
// counter
using BinarySampleCounterMap =
std::unordered_map<ProfiledBinary *, ContextSampleCounters>;
// Load binaries and read perf trace to parse the events and samples
class PerfReader {
public:
PerfReader(cl::list<std::string> &BinaryFilenames);
// Hybrid sample(call stack + LBRs) profile traces are seprated by double line
// break, search for that within the first 4k charactors to avoid going
// through the whole file.
static bool isHybridPerfScript(StringRef FileName) {
auto BufOrError = MemoryBuffer::getFileOrSTDIN(FileName, 4000);
if (!BufOrError)
exitWithError(BufOrError.getError(), FileName);
auto Buffer = std::move(BufOrError.get());
if (Buffer->getBuffer().find("\n\n") == StringRef::npos)
return false;
return true;
}
// The parsed MMap event
struct MMapEvent {
uint64_t PID = 0;
uint64_t BaseAddress = 0;
uint64_t Size = 0;
uint64_t Offset = 0;
StringRef BinaryPath;
};
/// Load symbols and disassemble the code of a give binary.
/// Also register the binary in the binary table.
///
ProfiledBinary &loadBinary(const StringRef BinaryPath,
bool AllowNameConflict = true);
void updateBinaryAddress(const MMapEvent &Event);
PerfScriptType getPerfScriptType() const { return PerfType; }
// Entry of the reader to parse multiple perf traces
void parsePerfTraces(cl::list<std::string> &PerfTraceFilenames);
const BinarySampleCounterMap &getBinarySampleCounters() const {
return BinarySampleCounters;
}
private:
/// Parse a single line of a PERF_RECORD_MMAP2 event looking for a
/// mapping between the binary name and its memory layout.
///
void parseMMap2Event(TraceStream &TraceIt);
// Parse perf events/samples and do aggregation
void parseAndAggregateTrace(StringRef Filename);
// Parse either an MMAP event or a perf sample
void parseEventOrSample(TraceStream &TraceIt);
// Parse the hybrid sample including the call and LBR line
void parseHybridSample(TraceStream &TraceIt);
// Extract call stack from the perf trace lines
bool extractCallstack(TraceStream &TraceIt, std::list<uint64_t> &CallStack);
// Extract LBR stack from one perf trace line
bool extractLBRStack(TraceStream &TraceIt,
SmallVector<LBREntry, 16> &LBRStack,
ProfiledBinary *Binary);
void checkAndSetPerfType(cl::list<std::string> &PerfTraceFilenames);
// Post process the profile after trace aggregation, we will do simple range
// overlap computation for AutoFDO, or unwind for CSSPGO(hybrid sample).
void generateRawProfile();
// Unwind the hybrid samples after aggregration
void unwindSamples();
void printUnwinderOutput();
// Helper function for looking up binary in AddressBinaryMap
ProfiledBinary *getBinary(uint64_t Address);
BinaryMap BinaryTable;
AddressBinaryMap AddrToBinaryMap; // Used by address-based lookup.
private:
BinarySampleCounterMap BinarySampleCounters;
// Samples with the repeating time generated by the perf reader
AggregationCounter AggregatedSamples;
PerfScriptType PerfType;
};
} // end namespace sampleprof
} // end namespace llvm
#endif