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This will make it possible to add visibility attributes to these variables. This also fixes some type mismatches between the declaration and the definition. Reviewed By: bogner, huangjd Differential Revision: https://reviews.llvm.org/D156599
264 lines
9.9 KiB
C++
264 lines
9.9 KiB
C++
//===- ProfileSummaryInfo.cpp - Global profile summary information --------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// This file contains a pass that provides access to the global profile summary
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// information.
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//
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//===----------------------------------------------------------------------===//
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#include "llvm/Analysis/ProfileSummaryInfo.h"
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#include "llvm/Analysis/BlockFrequencyInfo.h"
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#include "llvm/IR/BasicBlock.h"
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#include "llvm/IR/Instructions.h"
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#include "llvm/IR/Module.h"
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#include "llvm/IR/ProfileSummary.h"
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#include "llvm/InitializePasses.h"
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#include "llvm/ProfileData/ProfileCommon.h"
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#include "llvm/Support/CommandLine.h"
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#include <optional>
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using namespace llvm;
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static cl::opt<bool> PartialProfile(
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"partial-profile", cl::Hidden, cl::init(false),
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cl::desc("Specify the current profile is used as a partial profile."));
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cl::opt<bool> ScalePartialSampleProfileWorkingSetSize(
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"scale-partial-sample-profile-working-set-size", cl::Hidden, cl::init(true),
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cl::desc(
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"If true, scale the working set size of the partial sample profile "
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"by the partial profile ratio to reflect the size of the program "
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"being compiled."));
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static cl::opt<double> PartialSampleProfileWorkingSetSizeScaleFactor(
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"partial-sample-profile-working-set-size-scale-factor", cl::Hidden,
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cl::init(0.008),
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cl::desc("The scale factor used to scale the working set size of the "
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"partial sample profile along with the partial profile ratio. "
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"This includes the factor of the profile counter per block "
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"and the factor to scale the working set size to use the same "
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"shared thresholds as PGO."));
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// The profile summary metadata may be attached either by the frontend or by
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// any backend passes (IR level instrumentation, for example). This method
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// checks if the Summary is null and if so checks if the summary metadata is now
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// available in the module and parses it to get the Summary object.
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void ProfileSummaryInfo::refresh() {
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if (hasProfileSummary())
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return;
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// First try to get context sensitive ProfileSummary.
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auto *SummaryMD = M->getProfileSummary(/* IsCS */ true);
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if (SummaryMD)
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Summary.reset(ProfileSummary::getFromMD(SummaryMD));
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if (!hasProfileSummary()) {
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// This will actually return PSK_Instr or PSK_Sample summary.
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SummaryMD = M->getProfileSummary(/* IsCS */ false);
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if (SummaryMD)
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Summary.reset(ProfileSummary::getFromMD(SummaryMD));
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}
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if (!hasProfileSummary())
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return;
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computeThresholds();
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}
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std::optional<uint64_t> ProfileSummaryInfo::getProfileCount(
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const CallBase &Call, BlockFrequencyInfo *BFI, bool AllowSynthetic) const {
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assert((isa<CallInst>(Call) || isa<InvokeInst>(Call)) &&
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"We can only get profile count for call/invoke instruction.");
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if (hasSampleProfile()) {
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// In sample PGO mode, check if there is a profile metadata on the
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// instruction. If it is present, determine hotness solely based on that,
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// since the sampled entry count may not be accurate. If there is no
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// annotated on the instruction, return std::nullopt.
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uint64_t TotalCount;
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if (Call.extractProfTotalWeight(TotalCount))
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return TotalCount;
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return std::nullopt;
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}
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if (BFI)
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return BFI->getBlockProfileCount(Call.getParent(), AllowSynthetic);
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return std::nullopt;
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}
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bool ProfileSummaryInfo::isFunctionHotnessUnknown(const Function &F) const {
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assert(hasPartialSampleProfile() && "Expect partial sample profile");
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return !F.getEntryCount();
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}
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/// Returns true if the function's entry is a cold. If it returns false, it
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/// either means it is not cold or it is unknown whether it is cold or not (for
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/// example, no profile data is available).
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bool ProfileSummaryInfo::isFunctionEntryCold(const Function *F) const {
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if (!F)
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return false;
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if (F->hasFnAttribute(Attribute::Cold))
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return true;
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if (!hasProfileSummary())
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return false;
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auto FunctionCount = F->getEntryCount();
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// FIXME: The heuristic used below for determining coldness is based on
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// preliminary SPEC tuning for inliner. This will eventually be a
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// convenience method that calls isHotCount.
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return FunctionCount && isColdCount(FunctionCount->getCount());
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}
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/// Compute the hot and cold thresholds.
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void ProfileSummaryInfo::computeThresholds() {
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auto &DetailedSummary = Summary->getDetailedSummary();
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auto &HotEntry = ProfileSummaryBuilder::getEntryForPercentile(
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DetailedSummary, ProfileSummaryCutoffHot);
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HotCountThreshold =
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ProfileSummaryBuilder::getHotCountThreshold(DetailedSummary);
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ColdCountThreshold =
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ProfileSummaryBuilder::getColdCountThreshold(DetailedSummary);
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assert(ColdCountThreshold <= HotCountThreshold &&
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"Cold count threshold cannot exceed hot count threshold!");
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if (!hasPartialSampleProfile() || !ScalePartialSampleProfileWorkingSetSize) {
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HasHugeWorkingSetSize =
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HotEntry.NumCounts > ProfileSummaryHugeWorkingSetSizeThreshold;
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HasLargeWorkingSetSize =
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HotEntry.NumCounts > ProfileSummaryLargeWorkingSetSizeThreshold;
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} else {
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// Scale the working set size of the partial sample profile to reflect the
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// size of the program being compiled.
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double PartialProfileRatio = Summary->getPartialProfileRatio();
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uint64_t ScaledHotEntryNumCounts =
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static_cast<uint64_t>(HotEntry.NumCounts * PartialProfileRatio *
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PartialSampleProfileWorkingSetSizeScaleFactor);
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HasHugeWorkingSetSize =
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ScaledHotEntryNumCounts > ProfileSummaryHugeWorkingSetSizeThreshold;
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HasLargeWorkingSetSize =
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ScaledHotEntryNumCounts > ProfileSummaryLargeWorkingSetSizeThreshold;
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}
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}
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std::optional<uint64_t>
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ProfileSummaryInfo::computeThreshold(int PercentileCutoff) const {
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if (!hasProfileSummary())
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return std::nullopt;
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auto iter = ThresholdCache.find(PercentileCutoff);
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if (iter != ThresholdCache.end()) {
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return iter->second;
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}
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auto &DetailedSummary = Summary->getDetailedSummary();
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auto &Entry = ProfileSummaryBuilder::getEntryForPercentile(DetailedSummary,
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PercentileCutoff);
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uint64_t CountThreshold = Entry.MinCount;
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ThresholdCache[PercentileCutoff] = CountThreshold;
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return CountThreshold;
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}
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bool ProfileSummaryInfo::hasHugeWorkingSetSize() const {
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return HasHugeWorkingSetSize && *HasHugeWorkingSetSize;
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}
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bool ProfileSummaryInfo::hasLargeWorkingSetSize() const {
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return HasLargeWorkingSetSize && *HasLargeWorkingSetSize;
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}
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bool ProfileSummaryInfo::isHotCount(uint64_t C) const {
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return HotCountThreshold && C >= *HotCountThreshold;
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}
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bool ProfileSummaryInfo::isColdCount(uint64_t C) const {
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return ColdCountThreshold && C <= *ColdCountThreshold;
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}
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template <bool isHot>
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bool ProfileSummaryInfo::isHotOrColdCountNthPercentile(int PercentileCutoff,
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uint64_t C) const {
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auto CountThreshold = computeThreshold(PercentileCutoff);
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if (isHot)
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return CountThreshold && C >= *CountThreshold;
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else
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return CountThreshold && C <= *CountThreshold;
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}
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bool ProfileSummaryInfo::isHotCountNthPercentile(int PercentileCutoff,
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uint64_t C) const {
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return isHotOrColdCountNthPercentile<true>(PercentileCutoff, C);
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}
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bool ProfileSummaryInfo::isColdCountNthPercentile(int PercentileCutoff,
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uint64_t C) const {
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return isHotOrColdCountNthPercentile<false>(PercentileCutoff, C);
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}
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uint64_t ProfileSummaryInfo::getOrCompHotCountThreshold() const {
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return HotCountThreshold.value_or(UINT64_MAX);
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}
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uint64_t ProfileSummaryInfo::getOrCompColdCountThreshold() const {
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return ColdCountThreshold.value_or(0);
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}
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bool ProfileSummaryInfo::isHotCallSite(const CallBase &CB,
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BlockFrequencyInfo *BFI) const {
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auto C = getProfileCount(CB, BFI);
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return C && isHotCount(*C);
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}
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bool ProfileSummaryInfo::isColdCallSite(const CallBase &CB,
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BlockFrequencyInfo *BFI) const {
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auto C = getProfileCount(CB, BFI);
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if (C)
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return isColdCount(*C);
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// In SamplePGO, if the caller has been sampled, and there is no profile
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// annotated on the callsite, we consider the callsite as cold.
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return hasSampleProfile() && CB.getCaller()->hasProfileData();
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}
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bool ProfileSummaryInfo::hasPartialSampleProfile() const {
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return hasProfileSummary() &&
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Summary->getKind() == ProfileSummary::PSK_Sample &&
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(PartialProfile || Summary->isPartialProfile());
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}
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INITIALIZE_PASS(ProfileSummaryInfoWrapperPass, "profile-summary-info",
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"Profile summary info", false, true)
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ProfileSummaryInfoWrapperPass::ProfileSummaryInfoWrapperPass()
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: ImmutablePass(ID) {
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initializeProfileSummaryInfoWrapperPassPass(*PassRegistry::getPassRegistry());
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}
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bool ProfileSummaryInfoWrapperPass::doInitialization(Module &M) {
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PSI.reset(new ProfileSummaryInfo(M));
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return false;
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}
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bool ProfileSummaryInfoWrapperPass::doFinalization(Module &M) {
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PSI.reset();
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return false;
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}
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AnalysisKey ProfileSummaryAnalysis::Key;
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ProfileSummaryInfo ProfileSummaryAnalysis::run(Module &M,
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ModuleAnalysisManager &) {
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return ProfileSummaryInfo(M);
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}
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PreservedAnalyses ProfileSummaryPrinterPass::run(Module &M,
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ModuleAnalysisManager &AM) {
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ProfileSummaryInfo &PSI = AM.getResult<ProfileSummaryAnalysis>(M);
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OS << "Functions in " << M.getName() << " with hot/cold annotations: \n";
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for (auto &F : M) {
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OS << F.getName();
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if (PSI.isFunctionEntryHot(&F))
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OS << " :hot entry ";
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else if (PSI.isFunctionEntryCold(&F))
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OS << " :cold entry ";
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OS << "\n";
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}
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return PreservedAnalyses::all();
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}
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char ProfileSummaryInfoWrapperPass::ID = 0;
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