Transforms/Utils/MisExpect.cpp

//===--- MisExpect.cpp - Check the use of llvm.expect with PGO data -------===//
//
// 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
//
//===----------------------------------------------------------------------===//
//
// This contains code to emit warnings for potentially incorrect usage of the
// llvm.expect intrinsic. This utility extracts the threshold values from
// metadata associated with the instrumented Branch or Switch instruction. The
// threshold values are then used to determine if a warning should be emmited.
//
// MisExpect's implementation relies on two assumptions about how branch weights
// are managed in LLVM.
//
// 1) Frontend profiling weights are always in place before llvm.expect is
// lowered in LowerExpectIntrinsic.cpp. Frontend based instrumentation therefore
// needs to extract the branch weights and then compare them to the weights
// being added by the llvm.expect intrinsic lowering.
//
// 2) Sampling and IR based profiles will *only* have branch weight metadata
// before profiling data is consulted if they are from a lowered llvm.expect
// intrinsic. These profiles thus always extract the expected weights and then
// compare them to the weights collected during profiling to determine if a
// diagnostic message is warranted.
//
//===----------------------------------------------------------------------===//

#include "llvm/Transforms/Utils/MisExpect.h"
#include "llvm/ADT/Twine.h"
#include "llvm/Analysis/OptimizationRemarkEmitter.h"
#include "llvm/IR/Constants.h"
#include "llvm/IR/DiagnosticInfo.h"
#include "llvm/IR/Instruction.h"
#include "llvm/IR/Instructions.h"
#include "llvm/IR/LLVMContext.h"
#include "llvm/Support/BranchProbability.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/FormatVariadic.h"
#include <cstdint>
#include <functional>
#include <numeric>

#define DEBUG_TYPE "misexpect"

using namespace llvm;
using namespace misexpect;

namespace llvm {

// Command line option to enable/disable the warning when profile data suggests
// a mismatch with the use of the llvm.expect intrinsic
static cl::opt<bool> PGOWarnMisExpect(
    "pgo-warn-misexpect", cl::init(false), cl::Hidden,
    cl::desc("Use this option to turn on/off "
             "warnings about incorrect usage of llvm.expect intrinsics."));

static cl::opt<unsigned> MisExpectTolerance(
    "misexpect-tolerance", cl::init(0),
    cl::desc("Prevents emiting diagnostics when profile counts are "
             "within N% of the threshold.."));

} // namespace llvm

namespace {

bool isMisExpectDiagEnabled(LLVMContext &Ctx) {
  return PGOWarnMisExpect || Ctx.getMisExpectWarningRequested();
}

uint64_t getMisExpectTolerance(LLVMContext &Ctx) {
  return std::max(static_cast<uint64_t>(MisExpectTolerance),
                  Ctx.getDiagnosticsMisExpectTolerance());
}

Instruction *getInstCondition(Instruction *I) {
  assert(I != nullptr && "MisExpect target Instruction cannot be nullptr");
  Instruction *Ret = nullptr;
  if (auto *B = dyn_cast<BranchInst>(I)) {
    Ret = dyn_cast<Instruction>(B->getCondition());
  }
  // TODO: Find a way to resolve condition location for switches
  // Using the condition of the switch seems to often resolve to an earlier
  // point in the program, i.e. the calculation of the switch condition, rather
  // than the switch's location in the source code. Thus, we should use the
  // instruction to get source code locations rather than the condition to
  // improve diagnostic output, such as the caret. If the same problem exists
  // for branch instructions, then we should remove this function and directly
  // use the instruction
  //
  else if (auto *S = dyn_cast<SwitchInst>(I)) {
    Ret = dyn_cast<Instruction>(S->getCondition());
  }
  return Ret ? Ret : I;
}

void emitMisexpectDiagnostic(Instruction *I, LLVMContext &Ctx,
                             uint64_t ProfCount, uint64_t TotalCount) {
  double PercentageCorrect = (double)ProfCount / TotalCount;
  auto PerString =
      formatv("{0:P} ({1} / {2})", PercentageCorrect, ProfCount, TotalCount);
  auto RemStr = formatv(
      "Potential performance regression from use of the llvm.expect intrinsic: "
      "Annotation was correct on {0} of profiled executions.",
      PerString);
  Twine Msg(PerString);
  Instruction *Cond = getInstCondition(I);
  if (isMisExpectDiagEnabled(Ctx))
    Ctx.diagnose(DiagnosticInfoMisExpect(Cond, Msg));
  OptimizationRemarkEmitter ORE(I->getParent()->getParent());
  ORE.emit(OptimizationRemark(DEBUG_TYPE, "misexpect", Cond) << RemStr.str());
}

} // namespace

namespace llvm {
namespace misexpect {

// Helper function to extract branch weights into a vector
Optional<SmallVector<uint32_t, 4>> extractWeights(Instruction *I,
                                                  LLVMContext &Ctx) {
  assert(I && "MisExpect::extractWeights given invalid pointer");

  auto *ProfileData = I->getMetadata(LLVMContext::MD_prof);
  if (!ProfileData)
    return None;

  unsigned NOps = ProfileData->getNumOperands();
  if (NOps < 3)
    return None;

  auto *ProfDataName = dyn_cast<MDString>(ProfileData->getOperand(0));
  if (!ProfDataName || !ProfDataName->getString().equals("branch_weights"))
    return None;

  SmallVector<uint32_t, 4> Weights(NOps - 1);
  for (unsigned Idx = 1; Idx < NOps; Idx++) {
    ConstantInt *Value =
        mdconst::dyn_extract<ConstantInt>(ProfileData->getOperand(Idx));
    uint32_t V = Value->getZExtValue();
    Weights[Idx - 1] = V;
  }

  return Weights;
}

// TODO: when clang allows c++17, use std::clamp instead
uint32_t clamp(uint64_t value, uint32_t low, uint32_t hi) {
  if (value > hi)
    return hi;
  if (value < low)
    return low;
  return value;
}

void verifyMisExpect(Instruction &I, ArrayRef<uint32_t> RealWeights,
                     ArrayRef<uint32_t> ExpectedWeights) {
  // To determine if we emit a diagnostic, we need to compare the branch weights
  // from the profile to those added by the llvm.expect intrinsic.
  // So first, we extract the "likely" and "unlikely" weights from
  // ExpectedWeights And determine the correct weight in the profile to compare
  // against.
  uint64_t LikelyBranchWeight = 0,
           UnlikelyBranchWeight = std::numeric_limits<uint32_t>::max();
  size_t MaxIndex = 0;
  for (size_t Idx = 0, End = ExpectedWeights.size(); Idx < End; Idx++) {
    uint32_t V = ExpectedWeights[Idx];
    if (LikelyBranchWeight < V) {
      LikelyBranchWeight = V;
      MaxIndex = Idx;
    }
    if (UnlikelyBranchWeight > V) {
      UnlikelyBranchWeight = V;
    }
  }

  const uint64_t ProfiledWeight = RealWeights[MaxIndex];
  const uint64_t RealWeightsTotal =
      std::accumulate(RealWeights.begin(), RealWeights.end(), (uint64_t)0,
                      std::plus<uint64_t>());
  const uint64_t NumUnlikelyTargets = RealWeights.size() - 1;

  uint64_t TotalBranchWeight =
      LikelyBranchWeight + (UnlikelyBranchWeight * NumUnlikelyTargets);

  // FIXME: When we've addressed sample profiling, restore the assertion
  //
  // We cannot calculate branch probability if either of these invariants aren't
  // met. However, MisExpect diagnostics should not prevent code from compiling,
  // so we simply forgo emitting diagnostics here, and return early.
  if ((TotalBranchWeight == 0) || (TotalBranchWeight <= LikelyBranchWeight))
    return;

  // To determine our threshold value we need to obtain the branch probability
  // for the weights added by llvm.expect and use that proportion to calculate
  // our threshold based on the collected profile data.
  auto LikelyProbablilty = BranchProbability::getBranchProbability(
      LikelyBranchWeight, TotalBranchWeight);

  uint64_t ScaledThreshold = LikelyProbablilty.scale(RealWeightsTotal);

  // clamp tolerance range to [0, 100)
  auto Tolerance = getMisExpectTolerance(I.getContext());
  Tolerance = clamp(Tolerance, 0, 99);

  // Allow users to relax checking by N%  i.e., if they use a 5% tolerance,
  // then we check against 0.95*ScaledThreshold
  if (Tolerance > 0)
    ScaledThreshold *= (1.0 - Tolerance / 100.0);

  // When the profile weight is below the threshold, we emit the diagnostic
  if (ProfiledWeight < ScaledThreshold)
    emitMisexpectDiagnostic(&I, I.getContext(), ProfiledWeight,
                            RealWeightsTotal);
}

void checkBackendInstrumentation(Instruction &I,
                                 const ArrayRef<uint32_t> RealWeights) {
  auto ExpectedWeightsOpt = extractWeights(&I, I.getContext());
  if (!ExpectedWeightsOpt)
    return;
  auto ExpectedWeights = ExpectedWeightsOpt.value();
  verifyMisExpect(I, RealWeights, ExpectedWeights);
}

void checkFrontendInstrumentation(Instruction &I,
                                  const ArrayRef<uint32_t> ExpectedWeights) {
  auto RealWeightsOpt = extractWeights(&I, I.getContext());
  if (!RealWeightsOpt)
    return;
  auto RealWeights = RealWeightsOpt.value();
  verifyMisExpect(I, RealWeights, ExpectedWeights);
}

void checkExpectAnnotations(Instruction &I,
                            const ArrayRef<uint32_t> ExistingWeights,
                            bool IsFrontendInstr) {
  if (IsFrontendInstr) {
    checkFrontendInstrumentation(I, ExistingWeights);
  } else {
    checkBackendInstrumentation(I, ExistingWeights);
  }
}

} // namespace misexpect
} // namespace llvm
#undef DEBUG_TYPE