maxjhandsome
/
llvm-project
forked from OSchip/llvm-project
1
0
Fork 0
Code Issues Pull Requests Packages Releases Wiki Activity
llvm-project/llvm/tools/llvm-profgen/ProfileGenerator.cpp

630 lines
24 KiB
C++
Raw Blame History

//===-- ProfileGenerator.cpp - 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
//
//===----------------------------------------------------------------------===//
#include "ProfileGenerator.h"
#include "ProfiledBinary.h"
#include "llvm/ProfileData/ProfileCommon.h"
#include <unordered_set>
cl::opt<std::string> OutputFilename("output", cl::value_desc("output"),
cl::Required,
cl::desc("Output profile file"));
static cl::alias OutputA("o", cl::desc("Alias for --output"),
cl::aliasopt(OutputFilename));
static cl::opt<SampleProfileFormat> OutputFormat(
"format", cl::desc("Format of output profile"), cl::init(SPF_Ext_Binary),
cl::values(
clEnumValN(SPF_Binary, "binary", "Binary encoding (default)"),
clEnumValN(SPF_Compact_Binary, "compbinary", "Compact binary encoding"),
clEnumValN(SPF_Ext_Binary, "extbinary", "Extensible binary encoding"),
clEnumValN(SPF_Text, "text", "Text encoding"),
clEnumValN(SPF_GCC, "gcc",
"GCC encoding (only meaningful for -sample)")));
cl::opt<bool> UseMD5(
"use-md5", cl::init(false), cl::Hidden,
cl::desc("Use md5 to represent function names in the output profile (only "
"meaningful for -extbinary)"));
static cl::opt<int32_t, true> RecursionCompression(
"compress-recursion",
cl::desc("Compressing recursion by deduplicating adjacent frame "
"sequences up to the specified size. -1 means no size limit."),
cl::Hidden,
cl::location(llvm::sampleprof::CSProfileGenerator::MaxCompressionSize));
static cl::opt<bool> CSProfMergeColdContext(
"csprof-merge-cold-context", cl::init(true), cl::ZeroOrMore,
cl::desc("If the total count of context profile is smaller than "
"the threshold, it will be merged into context-less base "
"profile."));
static cl::opt<bool> CSProfTrimColdContext(
"csprof-trim-cold-context", cl::init(false), cl::ZeroOrMore,
cl::desc("If the total count of the profile after all merge is done "
"is still smaller than threshold, it will be trimmed."));
static cl::opt<uint32_t> CSProfMaxColdContextDepth(
"csprof-max-cold-context-depth", cl::init(1), cl::ZeroOrMore,
cl::desc("Keep the last K contexts while merging cold profile. 1 means the "
"context-less base profile"));
static cl::opt<int, true> CSProfMaxContextDepth(
"csprof-max-context-depth", cl::ZeroOrMore,
cl::desc("Keep the last K contexts while merging profile. -1 means no "
"depth limit."),
cl::location(llvm::sampleprof::CSProfileGenerator::MaxContextDepth));
extern cl::opt<int> ProfileSummaryCutoffCold;
using namespace llvm;
using namespace sampleprof;
namespace llvm {
namespace sampleprof {
// Initialize the MaxCompressionSize to -1 which means no size limit
int32_t CSProfileGenerator::MaxCompressionSize = -1;
int CSProfileGenerator::MaxContextDepth = -1;
std::unique_ptr<ProfileGenerator>
ProfileGenerator::create(ProfiledBinary *Binary,
const ContextSampleCounterMap &SampleCounters,
enum PerfScriptType SampleType) {
std::unique_ptr<ProfileGenerator> ProfileGenerator;
if (SampleType == PERF_LBR_STACK) {
if (Binary->usePseudoProbes()) {
ProfileGenerator.reset(
new PseudoProbeCSProfileGenerator(Binary, SampleCounters));
} else {
ProfileGenerator.reset(new CSProfileGenerator(Binary, SampleCounters));
}
} else {
// TODO:
llvm_unreachable("Unsupported perfscript!");
}
return ProfileGenerator;
}
void ProfileGenerator::write(std::unique_ptr<SampleProfileWriter> Writer,
SampleProfileMap &ProfileMap) {
if (std::error_code EC = Writer->write(ProfileMap))
exitWithError(std::move(EC));
}
void ProfileGenerator::write() {
auto WriterOrErr = SampleProfileWriter::create(OutputFilename, OutputFormat);
if (std::error_code EC = WriterOrErr.getError())
exitWithError(EC, OutputFilename);
if (UseMD5) {
if (OutputFormat != SPF_Ext_Binary)
WithColor::warning() << "-use-md5 is ignored. Specify "
"--format=extbinary to enable it\n";
else
WriterOrErr.get()->setUseMD5();
}
write(std::move(WriterOrErr.get()), ProfileMap);
}
void ProfileGenerator::findDisjointRanges(RangeSample &DisjointRanges,
const RangeSample &Ranges) {
/*
Regions may overlap with each other. Using the boundary info, find all
disjoint ranges and their sample count. BoundaryPoint contains the count
multiple samples begin/end at this points.
|<--100-->| Sample1
|<------200------>| Sample2
A B C
In the example above,
Sample1 begins at A, ends at B, its value is 100.
Sample2 beings at A, ends at C, its value is 200.
For A, BeginCount is the sum of sample begins at A, which is 300 and no
samples ends at A, so EndCount is 0.
Then boundary points A, B, and C with begin/end counts are:
A: (300, 0)
B: (0, 100)
C: (0, 200)
*/
struct BoundaryPoint {
// Sum of sample counts beginning at this point
uint64_t BeginCount;
// Sum of sample counts ending at this point
uint64_t EndCount;
BoundaryPoint() : BeginCount(0), EndCount(0){};
void addBeginCount(uint64_t Count) { BeginCount += Count; }
void addEndCount(uint64_t Count) { EndCount += Count; }
};
/*
For the above example. With boundary points, follwing logic finds two
disjoint region of
[A,B]: 300
[B+1,C]: 200
If there is a boundary point that both begin and end, the point itself
becomes a separate disjoint region. For example, if we have original
ranges of
|<--- 100 --->|
|<--- 200 --->|
A B C
there are three boundary points with their begin/end counts of
A: (100, 0)
B: (200, 100)
C: (0, 200)
the disjoint ranges would be
[A, B-1]: 100
[B, B]: 300
[B+1, C]: 200.
*/
std::map<uint64_t, BoundaryPoint> Boundaries;
for (auto Item : Ranges) {
uint64_t Begin = Item.first.first;
uint64_t End = Item.first.second;
uint64_t Count = Item.second;
if (Boundaries.find(Begin) == Boundaries.end())
Boundaries[Begin] = BoundaryPoint();
Boundaries[Begin].addBeginCount(Count);
if (Boundaries.find(End) == Boundaries.end())
Boundaries[End] = BoundaryPoint();
Boundaries[End].addEndCount(Count);
}
uint64_t BeginAddress = UINT64_MAX;
int Count = 0;
for (auto Item : Boundaries) {
uint64_t Address = Item.first;
BoundaryPoint &Point = Item.second;
if (Point.BeginCount) {
if (BeginAddress != UINT64_MAX)
DisjointRanges[{BeginAddress, Address - 1}] = Count;
Count += Point.BeginCount;
BeginAddress = Address;
}
if (Point.EndCount) {
assert((BeginAddress != UINT64_MAX) &&
"First boundary point cannot be 'end' point");
DisjointRanges[{BeginAddress, Address}] = Count;
Count -= Point.EndCount;
BeginAddress = Address + 1;
}
}
}
FunctionSamples &
CSProfileGenerator::getFunctionProfileForContext(SampleContextFrames Context,
bool WasLeafInlined) {
SampleContext FContext(Context);
auto Ret = ProfileMap.emplace(Context, FunctionSamples());
if (Ret.second) {
SampleContext FContext(Context, RawContext);
if (WasLeafInlined)
FContext.setAttribute(ContextWasInlined);
FunctionSamples &FProfile = Ret.first->second;
FProfile.setContext(FContext);
}
return Ret.first->second;
}
void CSProfileGenerator::generateProfile() {
FunctionSamples::ProfileIsCS = true;
for (const auto &CI : SampleCounters) {
const StringBasedCtxKey *CtxKey =
dyn_cast<StringBasedCtxKey>(CI.first.getPtr());
// Get or create function profile for the range
FunctionSamples &FunctionProfile =
getFunctionProfileForContext(CtxKey->Context, CtxKey->WasLeafInlined);
// Fill in function body samples
populateFunctionBodySamples(FunctionProfile, CI.second.RangeCounter);
// Fill in boundary sample counts as well as call site samples for calls
populateFunctionBoundarySamples(CtxKey->Context, FunctionProfile,
CI.second.BranchCounter);
}
// 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();
postProcessProfiles();
}
void CSProfileGenerator::updateBodySamplesforFunctionProfile(
FunctionSamples &FunctionProfile, const SampleContextFrame &LeafLoc,
uint64_t Count) {
// Filter out invalid negative(int type) lineOffset
if (LeafLoc.Callsite.LineOffset & 0x80000000)
return;
// Use the maximum count of samples with same line location
ErrorOr<uint64_t> R = FunctionProfile.findSamplesAt(
LeafLoc.Callsite.LineOffset, LeafLoc.Callsite.Discriminator);
uint64_t PreviousCount = R ? R.get() : 0;
if (PreviousCount < Count) {
FunctionProfile.addBodySamples(LeafLoc.Callsite.LineOffset,
LeafLoc.Callsite.Discriminator,
Count - PreviousCount);
}
}
void CSProfileGenerator::populateFunctionBodySamples(
FunctionSamples &FunctionProfile, const RangeSample &RangeCounter) {
// Compute disjoint ranges first, so we can use MAX
// for calculating count for each location.
RangeSample Ranges;
findDisjointRanges(Ranges, RangeCounter);
for (auto Range : Ranges) {
uint64_t RangeBegin = Binary->offsetToVirtualAddr(Range.first.first);
uint64_t RangeEnd = Binary->offsetToVirtualAddr(Range.first.second);
uint64_t Count = Range.second;
// Disjoint ranges have introduce zero-filled gap that
// doesn't belong to current context, filter them out.
if (Count == 0)
continue;
InstructionPointer IP(Binary, RangeBegin, true);
// Disjoint ranges may have range in the middle of two instr,
// e.g. If Instr1 at Addr1, and Instr2 at Addr2, disjoint range
// can be Addr1+1 to Addr2-1. We should ignore such range.
if (IP.Address > RangeEnd)
continue;
while (IP.Address <= RangeEnd) {
uint64_t Offset = Binary->virtualAddrToOffset(IP.Address);
auto LeafLoc = Binary->getInlineLeafFrameLoc(Offset);
if (LeafLoc.hasValue()) {
// Recording body sample for this specific context
updateBodySamplesforFunctionProfile(FunctionProfile, *LeafLoc, Count);
}
// Accumulate total sample count even it's a line with invalid debug info
FunctionProfile.addTotalSamples(Count);
// Move to next IP within the range
IP.advance();
}
}
}
void CSProfileGenerator::populateFunctionBoundarySamples(
SampleContextFrames ContextId, FunctionSamples &FunctionProfile,
const BranchSample &BranchCounters) {
for (auto Entry : BranchCounters) {
uint64_t SourceOffset = Entry.first.first;
uint64_t TargetOffset = Entry.first.second;
uint64_t Count = Entry.second;
// Get the callee name by branch target if it's a call branch
StringRef CalleeName = FunctionSamples::getCanonicalFnName(
Binary->getFuncFromStartOffset(TargetOffset));
if (CalleeName.size() == 0)
continue;
// Record called target sample and its count
auto LeafLoc = Binary->getInlineLeafFrameLoc(SourceOffset);
if (!LeafLoc.hasValue())
continue;
FunctionProfile.addCalledTargetSamples(LeafLoc->Callsite.LineOffset,
LeafLoc->Callsite.Discriminator,
CalleeName, Count);
// Record head sample for called target(callee)
SampleContextFrameVector CalleeCtx(ContextId.begin(), ContextId.end());
assert(CalleeCtx.back().CallerName == LeafLoc->CallerName &&
"Leaf function name doesn't match");
CalleeCtx.back() = *LeafLoc;
CalleeCtx.emplace_back(CalleeName, LineLocation(0, 0));
FunctionSamples &CalleeProfile = getFunctionProfileForContext(CalleeCtx);
assert(Count != 0 && "Unexpected zero weight branch");
CalleeProfile.addHeadSamples(Count);
}
}
static SampleContextFrame
getCallerContext(SampleContextFrames CalleeContext,
SampleContextFrameVector &CallerContext) {
assert(CalleeContext.size() > 1 && "Unexpected empty context");
CalleeContext = CalleeContext.drop_back();
CallerContext.assign(CalleeContext.begin(), CalleeContext.end());
SampleContextFrame CallerFrame = CallerContext.back();
CallerContext.back().Callsite = LineLocation(0, 0);
return CallerFrame;
}
void CSProfileGenerator::populateInferredFunctionSamples() {
for (const auto &Item : ProfileMap) {
const auto &CalleeContext = Item.first;
const FunctionSamples &CalleeProfile = Item.second;
// If we already have head sample counts, we must have value profile
// for call sites added already. Skip to avoid double counting.
if (CalleeProfile.getHeadSamples())
continue;
// If we don't have context, nothing to do for caller's call site.
// This could happen for entry point function.
if (CalleeContext.isBaseContext())
continue;
// Infer Caller's frame loc and context ID through string splitting
SampleContextFrameVector CallerContextId;
SampleContextFrame &&CallerLeafFrameLoc =
getCallerContext(CalleeContext.getContextFrames(), CallerContextId);
SampleContextFrames CallerContext(CallerContextId);
// It's possible that we haven't seen any sample directly in the caller,
// in which case CallerProfile will not exist. But we can't modify
// ProfileMap while iterating it.
// TODO: created function profile for those callers too
if (ProfileMap.find(CallerContext) == ProfileMap.end())
continue;
FunctionSamples &CallerProfile = ProfileMap[CallerContext];
// Since we don't have call count for inlined functions, we
// estimate it from inlinee's profile using entry body sample.
uint64_t EstimatedCallCount = CalleeProfile.getEntrySamples();
// If we don't have samples with location, use 1 to indicate live.
if (!EstimatedCallCount && !CalleeProfile.getBodySamples().size())
EstimatedCallCount = 1;
CallerProfile.addCalledTargetSamples(
CallerLeafFrameLoc.Callsite.LineOffset,
CallerLeafFrameLoc.Callsite.Discriminator,
CalleeProfile.getContext().getName(), EstimatedCallCount);
CallerProfile.addBodySamples(CallerLeafFrameLoc.Callsite.LineOffset,
CallerLeafFrameLoc.Callsite.Discriminator,
EstimatedCallCount);
CallerProfile.addTotalSamples(EstimatedCallCount);
}
}
void CSProfileGenerator::postProcessProfiles() {
// Compute hot/cold threshold based on profile. This will be used for cold
// context profile merging/trimming.
computeSummaryAndThreshold();
// Run global pre-inliner to adjust/merge context profile based on estimated
// inline decisions.
if (EnableCSPreInliner) {
CSPreInliner(ProfileMap, *Binary, HotCountThreshold, ColdCountThreshold)
.run();
}
// Trim and merge cold context profile using cold threshold above. By default,
// we skip such merging and trimming when preinliner is on.
if (!EnableCSPreInliner || CSProfTrimColdContext.getNumOccurrences() ||
CSProfMergeColdContext.getNumOccurrences()) {
SampleContextTrimmer(ProfileMap)
.trimAndMergeColdContextProfiles(
ColdCountThreshold, CSProfTrimColdContext, CSProfMergeColdContext,
CSProfMaxColdContextDepth);
}
}
void CSProfileGenerator::computeSummaryAndThreshold() {
// Update the default value of cold cutoff for llvm-profgen.
// Do it here because we don't want to change the global default,
// which would lead CS profile size too large.
if (!ProfileSummaryCutoffCold.getNumOccurrences())
ProfileSummaryCutoffCold = 999000;
SampleProfileSummaryBuilder Builder(ProfileSummaryBuilder::DefaultCutoffs);
auto Summary = Builder.computeSummaryForProfiles(ProfileMap);
HotCountThreshold = ProfileSummaryBuilder::getHotCountThreshold(
(Summary->getDetailedSummary()));
ColdCountThreshold = ProfileSummaryBuilder::getColdCountThreshold(
(Summary->getDetailedSummary()));
}
void CSProfileGenerator::write(std::unique_ptr<SampleProfileWriter> Writer,
SampleProfileMap &ProfileMap) {
if (std::error_code EC = Writer->write(ProfileMap))
exitWithError(std::move(EC));
}
// Helper function to extract context prefix string stack
// Extract context stack for reusing, leaf context stack will
// be added compressed while looking up function profile
static void extractPrefixContextStack(
SampleContextFrameVector &ContextStack,
const SmallVectorImpl<const MCDecodedPseudoProbe *> &Probes,
ProfiledBinary *Binary) {
for (const auto *P : Probes) {
Binary->getInlineContextForProbe(P, ContextStack, true);
}
}
void PseudoProbeCSProfileGenerator::generateProfile() {
// Enable pseudo probe functionalities in SampleProf
FunctionSamples::ProfileIsProbeBased = true;
FunctionSamples::ProfileIsCS = true;
for (const auto &CI : SampleCounters) {
const ProbeBasedCtxKey *CtxKey =
dyn_cast<ProbeBasedCtxKey>(CI.first.getPtr());
SampleContextFrameVector ContextStack;
extractPrefixContextStack(ContextStack, CtxKey->Probes, Binary);
// Fill in function body samples from probes, also infer caller's samples
// from callee's probe
populateBodySamplesWithProbes(CI.second.RangeCounter, ContextStack);
// Fill in boundary samples for a call probe
populateBoundarySamplesWithProbes(CI.second.BranchCounter, ContextStack);
}
postProcessProfiles();
}
void PseudoProbeCSProfileGenerator::extractProbesFromRange(
const RangeSample &RangeCounter, ProbeCounterMap &ProbeCounter) {
RangeSample Ranges;
findDisjointRanges(Ranges, RangeCounter);
for (const auto &Range : Ranges) {
uint64_t RangeBegin = Binary->offsetToVirtualAddr(Range.first.first);
uint64_t RangeEnd = Binary->offsetToVirtualAddr(Range.first.second);
uint64_t Count = Range.second;
// Disjoint ranges have introduce zero-filled gap that
// doesn't belong to current context, filter them out.
if (Count == 0)
continue;
InstructionPointer IP(Binary, RangeBegin, true);
// Disjoint ranges may have range in the middle of two instr,
// e.g. If Instr1 at Addr1, and Instr2 at Addr2, disjoint range
// can be Addr1+1 to Addr2-1. We should ignore such range.
if (IP.Address > RangeEnd)
continue;
while (IP.Address <= RangeEnd) {
const AddressProbesMap &Address2ProbesMap =
Binary->getAddress2ProbesMap();
auto It = Address2ProbesMap.find(IP.Address);
if (It != Address2ProbesMap.end()) {
for (const auto &Probe : It->second) {
if (!Probe.isBlock())
continue;
ProbeCounter[&Probe] += Count;
}
}
IP.advance();
}
}
}
void PseudoProbeCSProfileGenerator::populateBodySamplesWithProbes(
const RangeSample &RangeCounter, SampleContextFrames ContextStack) {
ProbeCounterMap ProbeCounter;
// Extract the top frame probes by looking up each address among the range in
// the Address2ProbeMap
extractProbesFromRange(RangeCounter, ProbeCounter);
std::unordered_map<MCDecodedPseudoProbeInlineTree *,
std::unordered_set<FunctionSamples *>>
FrameSamples;
for (auto PI : ProbeCounter) {
const MCDecodedPseudoProbe *Probe = PI.first;
uint64_t Count = PI.second;
FunctionSamples &FunctionProfile =
getFunctionProfileForLeafProbe(ContextStack, Probe);
// Record the current frame and FunctionProfile whenever samples are
// collected for non-danglie probes. This is for reporting all of the
// zero count probes of the frame later.
FrameSamples[Probe->getInlineTreeNode()].insert(&FunctionProfile);
FunctionProfile.addBodySamplesForProbe(Probe->getIndex(), Count);
FunctionProfile.addTotalSamples(Count);
if (Probe->isEntry()) {
FunctionProfile.addHeadSamples(Count);
// Look up for the caller's function profile
const auto *InlinerDesc = Binary->getInlinerDescForProbe(Probe);
if (InlinerDesc != nullptr) {
// Since the context id will be compressed, we have to use callee's
// context id to infer caller's context id to ensure they share the
// same context prefix.
SampleContextFrames CalleeContextId =
FunctionProfile.getContext().getContextFrames();
SampleContextFrameVector CallerContextId;
SampleContextFrame &&CallerLeafFrameLoc =
getCallerContext(CalleeContextId, CallerContextId);
uint64_t CallerIndex = CallerLeafFrameLoc.Callsite.LineOffset;
assert(CallerIndex &&
"Inferred caller's location index shouldn't be zero!");
// Save the new context for future references.
SampleContextFrames CallerContext =
*Contexts.insert(CallerContextId).first;
FunctionSamples &CallerProfile =
getFunctionProfileForContext(CallerContext);
CallerProfile.setFunctionHash(InlinerDesc->FuncHash);
CallerProfile.addBodySamples(CallerIndex, 0, Count);
CallerProfile.addTotalSamples(Count);
CallerProfile.addCalledTargetSamples(
CallerIndex, 0, FunctionProfile.getContext().getName(), Count);
}
}
}
// Assign zero count for remaining probes without sample hits to
// differentiate from probes optimized away, of which the counts are unknown
// and will be inferred by the compiler.
for (auto &I : FrameSamples) {
for (auto *FunctionProfile : I.second) {
for (auto *Probe : I.first->getProbes()) {
FunctionProfile->addBodySamplesForProbe(Probe->getIndex(), 0);
}
}
}
}
void PseudoProbeCSProfileGenerator::populateBoundarySamplesWithProbes(
const BranchSample &BranchCounter, SampleContextFrames ContextStack) {
for (auto BI : BranchCounter) {
uint64_t SourceOffset = BI.first.first;
uint64_t TargetOffset = BI.first.second;
uint64_t Count = BI.second;
uint64_t SourceAddress = Binary->offsetToVirtualAddr(SourceOffset);
const MCDecodedPseudoProbe *CallProbe =
Binary->getCallProbeForAddr(SourceAddress);
if (CallProbe == nullptr)
continue;
FunctionSamples &FunctionProfile =
getFunctionProfileForLeafProbe(ContextStack, CallProbe);
FunctionProfile.addBodySamples(CallProbe->getIndex(), 0, Count);
FunctionProfile.addTotalSamples(Count);
StringRef CalleeName = FunctionSamples::getCanonicalFnName(
Binary->getFuncFromStartOffset(TargetOffset));
if (CalleeName.size() == 0)
continue;
FunctionProfile.addCalledTargetSamples(CallProbe->getIndex(), 0, CalleeName,
Count);
}
}
FunctionSamples &PseudoProbeCSProfileGenerator::getFunctionProfileForLeafProbe(
SampleContextFrames ContextStack, const MCDecodedPseudoProbe *LeafProbe) {
// Explicitly copy the context for appending the leaf context
SampleContextFrameVector NewContextStack(ContextStack.begin(),
ContextStack.end());
Binary->getInlineContextForProbe(LeafProbe, NewContextStack, true);
// For leaf inlined context with the top frame, we should strip off the top
// frame's probe id, like:
// Inlined stack: [foo:1, bar:2], the ContextId will be "foo:1 @ bar"
auto LeafFrame = NewContextStack.back();
LeafFrame.Callsite = LineLocation(0, 0);
NewContextStack.pop_back();
// Compress the context string except for the leaf frame
CSProfileGenerator::compressRecursionContext(NewContextStack);
CSProfileGenerator::trimContext(NewContextStack);
NewContextStack.push_back(LeafFrame);
// Save the new context for future references.
SampleContextFrames NewContext = *Contexts.insert(NewContextStack).first;
const auto *FuncDesc = Binary->getFuncDescForGUID(LeafProbe->getGuid());
bool WasLeafInlined = LeafProbe->getInlineTreeNode()->hasInlineSite();
FunctionSamples &FunctionProile =
getFunctionProfileForContext(NewContext, WasLeafInlined);
FunctionProile.setFunctionHash(FuncDesc->FuncHash);
return FunctionProile;
}
} // end namespace sampleprof
} // end namespace llvm
Reference in New Issue View Git Blame Copy Permalink