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llvm-mirror/tools/llvm-profgen/ProfileGenerator.h
wlei 6ee5e73092 [CSSPGO][llvm-profgen] Merge and trim profile for cold context to reduce profile size
This change allows merging and trimming cold context profile in llvm-profgen to solve profile size bloat problem. Currently when the profile's total sample is below threshold(supported by a switch), it will be considered cold and merged into a base context-less profile, which will at least keep the profile quality as good as the baseline(non-cs).

For example, two input profiles:
 [main @ foo @ bar]:60
 [main @ bar]:50
Under threshold = 100, the two profiles will be merge into one with the base context, get result:
 [bar]:110

Added two switches:
`--csprof-cold-thres=<value>`: Specified the total samples threshold for a context profile to be considered cold, with 100 being the default. Any cold context profiles will be merged into context-less base profile by default.
`--csprof-keep-cold`: Force profile generation to keep cold context profiles instead of dropping them. By default, any cold context will not be written to output profile.

Results:
Though not yet evaluating it with the latest CSSPGO, our internal branch shows neutral on performance but significantly reduce the profile size. Detailed evaluation on llvm-profgen with CSSPGO will come later.

Differential Revision: https://reviews.llvm.org/D94111
2021-02-04 11:05:03 -08:00

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11 KiB
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//===-- ProfileGenerator.h - Profile Generator -----------------*- 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_PROGEN_PROFILEGENERATOR_H
#define LLVM_TOOLS_LLVM_PROGEN_PROFILEGENERATOR_H
#include "ErrorHandling.h"
#include "PerfReader.h"
#include "ProfiledBinary.h"
#include "llvm/ProfileData/SampleProfWriter.h"
using namespace llvm;
using namespace sampleprof;
namespace llvm {
namespace sampleprof {
class ProfileGenerator {
public:
ProfileGenerator(){};
virtual ~ProfileGenerator() = default;
static std::unique_ptr<ProfileGenerator>
create(const BinarySampleCounterMap &BinarySampleCounters,
enum PerfScriptType SampleType);
virtual void generateProfile() = 0;
// Merge and trim profile with cold context before serialization,
// only eligible for CS profile
virtual void
mergeAndTrimColdProfile(StringMap<FunctionSamples> &ProfileMap){};
// Use SampleProfileWriter to serialize profile map
void write();
protected:
/*
For each region boundary point, mark if it is begin or end (or both) of
the region. Boundary points are inclusive. Log the sample count as well
so we can use it when we compute the sample count of each disjoint region
later. Note that there might be multiple ranges with different sample
count that share same begin/end point. We need to accumulate the sample
count for the boundary point for such case, because for the example
below,
|<--100-->|
|<------200------>|
A B C
sample count for disjoint region [A,B] would be 300.
*/
void findDisjointRanges(RangeSample &DisjointRanges,
const RangeSample &Ranges);
// Used by SampleProfileWriter
StringMap<FunctionSamples> ProfileMap;
};
class CSProfileGenerator : public ProfileGenerator {
protected:
const BinarySampleCounterMap &BinarySampleCounters;
public:
CSProfileGenerator(const BinarySampleCounterMap &Counters)
: BinarySampleCounters(Counters){};
public:
void generateProfile() override {
// Enable context-sensitive functionalities in SampleProf
FunctionSamples::ProfileIsCS = true;
for (const auto &BI : BinarySampleCounters) {
ProfiledBinary *Binary = BI.first;
for (const auto &CI : BI.second) {
const StringBasedCtxKey *CtxKey =
dyn_cast<StringBasedCtxKey>(CI.first.getPtr());
StringRef ContextId(CtxKey->Context);
// Get or create function profile for the range
FunctionSamples &FunctionProfile =
getFunctionProfileForContext(ContextId);
// Fill in function body samples
populateFunctionBodySamples(FunctionProfile, CI.second.RangeCounter,
Binary);
// Fill in boundary sample counts as well as call site samples for calls
populateFunctionBoundarySamples(ContextId, FunctionProfile,
CI.second.BranchCounter, Binary);
}
}
// Fill in call site value sample for inlined calls and also use context to
// infer missing samples. Since we don't have call count for inlined
// functions, we estimate it from inlinee's profile using the entry of the
// body sample.
populateInferredFunctionSamples();
}
// Remove adjacent repeated context sequences up to a given sequence length,
// -1 means no size limit. Note that repeated sequences are identified based
// on the exact call site, this is finer granularity than function recursion.
template <typename T>
static void compressRecursionContext(SmallVectorImpl<T> &Context,
int32_t CSize = MaxCompressionSize) {
uint32_t I = 1;
uint32_t HS = static_cast<uint32_t>(Context.size() / 2);
uint32_t MaxDedupSize =
CSize == -1 ? HS : std::min(static_cast<uint32_t>(CSize), HS);
auto BeginIter = Context.begin();
// Use an in-place algorithm to save memory copy
// End indicates the end location of current iteration's data
uint32_t End = 0;
// Deduplicate from length 1 to the max possible size of a repeated
// sequence.
while (I <= MaxDedupSize) {
// This is a linear algorithm that deduplicates adjacent repeated
// sequences of size I. The deduplication detection runs on a sliding
// window whose size is 2*I and it keeps sliding the window to deduplicate
// the data inside. Once duplication is detected, deduplicate it by
// skipping the right half part of the window, otherwise just copy back
// the new one by appending them at the back of End pointer(for the next
// iteration).
//
// For example:
// Input: [a1, a2, b1, b2]
// (Added index to distinguish the same char, the origin is [a, a, b,
// b], the size of the dedup window is 2(I = 1) at the beginning)
//
// 1) The initial status is a dummy window[null, a1], then just copy the
// right half of the window(End = 0), then slide the window.
// Result: [a1], a2, b1, b2 (End points to the element right before ],
// after ] is the data of the previous iteration)
//
// 2) Next window is [a1, a2]. Since a1 == a2, then skip the right half of
// the window i.e the duplication happen. Only slide the window.
// Result: [a1], a2, b1, b2
//
// 3) Next window is [a2, b1], copy the right half of the window(b1 is
// new) to the End and slide the window.
// Result: [a1, b1], b1, b2
//
// 4) Next window is [b1, b2], same to 2), skip b2.
// Result: [a1, b1], b1, b2
// After resize, it will be [a, b]
// Use pointers like below to do comparison inside the window
// [a b c a b c]
// | | | | |
// LeftBoundary Left Right Left+I Right+I
// A duplication found if Left < LeftBoundry.
int32_t Right = I - 1;
End = I;
int32_t LeftBoundary = 0;
while (Right + I < Context.size()) {
// To avoids scanning a part of a sequence repeatedly, it finds out
// the common suffix of two hald in the window. The common suffix will
// serve as the common prefix of next possible pair of duplicate
// sequences. The non-common part will be ignored and never scanned
// again.
// For example.
// Input: [a, b1], c1, b2, c2
// I = 2
//
// 1) For the window [a, b1, c1, b2], non-common-suffix for the right
// part is 'c1', copy it and only slide the window 1 step.
// Result: [a, b1, c1], b2, c2
//
// 2) Next window is [b1, c1, b2, c2], so duplication happen.
// Result after resize: [a, b, c]
int32_t Left = Right;
while (Left >= LeftBoundary && Context[Left] == Context[Left + I]) {
// Find the longest suffix inside the window. When stops, Left points
// at the diverging point in the current sequence.
Left--;
}
bool DuplicationFound = (Left < LeftBoundary);
// Don't need to recheck the data before Right
LeftBoundary = Right + 1;
if (DuplicationFound) {
// Duplication found, skip right half of the window.
Right += I;
} else {
// Copy the non-common-suffix part of the adjacent sequence.
std::copy(BeginIter + Right + 1, BeginIter + Left + I + 1,
BeginIter + End);
End += Left + I - Right;
// Only slide the window by the size of non-common-suffix
Right = Left + I;
}
}
// Don't forget the remaining part that's not scanned.
std::copy(BeginIter + Right + 1, Context.end(), BeginIter + End);
End += Context.size() - Right - 1;
I++;
Context.resize(End);
MaxDedupSize = std::min(static_cast<uint32_t>(End / 2), MaxDedupSize);
}
}
protected:
// Lookup or create FunctionSamples for the context
FunctionSamples &getFunctionProfileForContext(StringRef ContextId);
// Merge cold context profile whose total sample is below threshold
// into base profile.
void mergeAndTrimColdProfile(StringMap<FunctionSamples> &ProfileMap) override;
private:
// Helper function for updating body sample for a leaf location in
// FunctionProfile
void updateBodySamplesforFunctionProfile(FunctionSamples &FunctionProfile,
const FrameLocation &LeafLoc,
uint64_t Count);
void populateFunctionBodySamples(FunctionSamples &FunctionProfile,
const RangeSample &RangeCounters,
ProfiledBinary *Binary);
void populateFunctionBoundarySamples(StringRef ContextId,
FunctionSamples &FunctionProfile,
const BranchSample &BranchCounters,
ProfiledBinary *Binary);
void populateInferredFunctionSamples();
public:
// Deduplicate adjacent repeated context sequences up to a given sequence
// length. -1 means no size limit.
static int32_t MaxCompressionSize;
};
using ProbeCounterMap = std::unordered_map<const PseudoProbe *, uint64_t>;
class PseudoProbeCSProfileGenerator : public CSProfileGenerator {
public:
PseudoProbeCSProfileGenerator(const BinarySampleCounterMap &Counters)
: CSProfileGenerator(Counters) {}
void generateProfile() override;
private:
// Go through each address from range to extract the top frame probe by
// looking up in the Address2ProbeMap
void extractProbesFromRange(const RangeSample &RangeCounter,
ProbeCounterMap &ProbeCounter,
ProfiledBinary *Binary);
// Fill in function body samples from probes
void
populateBodySamplesWithProbes(const RangeSample &RangeCounter,
SmallVectorImpl<std::string> &ContextStrStack,
ProfiledBinary *Binary);
// Fill in boundary samples for a call probe
void populateBoundarySamplesWithProbes(
const BranchSample &BranchCounter,
SmallVectorImpl<std::string> &ContextStrStack, ProfiledBinary *Binary);
// Helper function to get FunctionSamples for the leaf inlined context
FunctionSamples &
getFunctionProfileForLeafProbe(SmallVectorImpl<std::string> &ContextStrStack,
const PseudoProbeFuncDesc *LeafFuncDesc);
// Helper function to get FunctionSamples for the leaf probe
FunctionSamples &
getFunctionProfileForLeafProbe(SmallVectorImpl<std::string> &ContextStrStack,
const PseudoProbe *LeafProbe,
ProfiledBinary *Binary);
};
} // end namespace sampleprof
} // end namespace llvm
#endif