1//===- BlockFrequencyImplInfo.cpp - Block Frequency Info Implementation ---===//
2//
3// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4// See https://llvm.org/LICENSE.txt for license information.
5// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6//
7//===----------------------------------------------------------------------===//
8//
9// Loops should be simplified before this analysis.
10//
11//===----------------------------------------------------------------------===//
12
13#include "llvm/Analysis/BlockFrequencyInfoImpl.h"
14#include "llvm/ADT/APInt.h"
15#include "llvm/ADT/DenseMap.h"
16#include "llvm/ADT/SCCIterator.h"
17#include "llvm/ADT/SmallString.h"
18#include "llvm/Config/llvm-config.h"
19#include "llvm/IR/Function.h"
20#include "llvm/Support/BlockFrequency.h"
21#include "llvm/Support/BranchProbability.h"
22#include "llvm/Support/Compiler.h"
23#include "llvm/Support/Debug.h"
24#include "llvm/Support/MathExtras.h"
25#include "llvm/Support/ScaledNumber.h"
26#include "llvm/Support/raw_ostream.h"
27#include <algorithm>
28#include <cassert>
29#include <cstddef>
30#include <cstdint>
31#include <iterator>
32#include <list>
33#include <numeric>
34#include <optional>
35#include <utility>
36#include <vector>
37
38using namespace llvm;
39using namespace llvm::bfi_detail;
40
41#define DEBUG_TYPE "block-freq"
42
43namespace llvm {
44cl::opt<bool> CheckBFIUnknownBlockQueries(
45 "check-bfi-unknown-block-queries",
46 cl::init(Val: false), cl::Hidden,
47 cl::desc("Check if block frequency is queried for an unknown block "
48 "for debugging missed BFI updates"));
49
50cl::opt<bool> UseIterativeBFIInference(
51 "use-iterative-bfi-inference", cl::Hidden,
52 cl::desc("Apply an iterative post-processing to infer correct BFI counts"));
53
54cl::opt<unsigned> IterativeBFIMaxIterationsPerBlock(
55 "iterative-bfi-max-iterations-per-block", cl::init(Val: 1000), cl::Hidden,
56 cl::desc("Iterative inference: maximum number of update iterations "
57 "per block"));
58
59cl::opt<double> IterativeBFIPrecision(
60 "iterative-bfi-precision", cl::init(Val: 1e-12), cl::Hidden,
61 cl::desc("Iterative inference: delta convergence precision; smaller values "
62 "typically lead to better results at the cost of worsen runtime"));
63} // namespace llvm
64
65ScaledNumber<uint64_t> BlockMass::toScaled() const {
66 if (isFull())
67 return ScaledNumber<uint64_t>(1, 0);
68 return ScaledNumber<uint64_t>(getMass() + 1, -64);
69}
70
71#if !defined(NDEBUG) || defined(LLVM_ENABLE_DUMP)
72LLVM_DUMP_METHOD void BlockMass::dump() const { print(dbgs()); }
73#endif
74
75static char getHexDigit(int N) {
76 assert(N < 16);
77 if (N < 10)
78 return '0' + N;
79 return 'a' + N - 10;
80}
81
82raw_ostream &BlockMass::print(raw_ostream &OS) const {
83 for (int Digits = 0; Digits < 16; ++Digits)
84 OS << getHexDigit(N: Mass >> (60 - Digits * 4) & 0xf);
85 return OS;
86}
87
88namespace {
89
90using BlockNode = BlockFrequencyInfoImplBase::BlockNode;
91using Distribution = BlockFrequencyInfoImplBase::Distribution;
92using WeightList = BlockFrequencyInfoImplBase::Distribution::WeightList;
93using Scaled64 = BlockFrequencyInfoImplBase::Scaled64;
94using LoopData = BlockFrequencyInfoImplBase::LoopData;
95using Weight = BlockFrequencyInfoImplBase::Weight;
96using FrequencyData = BlockFrequencyInfoImplBase::FrequencyData;
97
98/// Dithering mass distributer.
99///
100/// This class splits up a single mass into portions by weight, dithering to
101/// spread out error. No mass is lost. The dithering precision depends on the
102/// precision of the product of \a BlockMass and \a BranchProbability.
103///
104/// The distribution algorithm follows.
105///
106/// 1. Initialize by saving the sum of the weights in \a RemWeight and the
107/// mass to distribute in \a RemMass.
108///
109/// 2. For each portion:
110///
111/// 1. Construct a branch probability, P, as the portion's weight divided
112/// by the current value of \a RemWeight.
113/// 2. Calculate the portion's mass as \a RemMass times P.
114/// 3. Update \a RemWeight and \a RemMass at each portion by subtracting
115/// the current portion's weight and mass.
116struct DitheringDistributer {
117 uint32_t RemWeight;
118 BlockMass RemMass;
119
120 DitheringDistributer(Distribution &Dist, const BlockMass &Mass);
121
122 BlockMass takeMass(uint32_t Weight);
123};
124
125} // end anonymous namespace
126
127DitheringDistributer::DitheringDistributer(Distribution &Dist,
128 const BlockMass &Mass) {
129 Dist.normalize();
130 RemWeight = Dist.Total;
131 RemMass = Mass;
132}
133
134BlockMass DitheringDistributer::takeMass(uint32_t Weight) {
135 assert(Weight && "invalid weight");
136 assert(Weight <= RemWeight);
137 BlockMass Mass = RemMass * BranchProbability(Weight, RemWeight);
138
139 // Decrement totals (dither).
140 RemWeight -= Weight;
141 RemMass -= Mass;
142 return Mass;
143}
144
145void Distribution::add(const BlockNode &Node, uint64_t Amount,
146 Weight::DistType Type) {
147 assert(Amount && "invalid weight of 0");
148 uint64_t NewTotal = Total + Amount;
149
150 // Check for overflow. It should be impossible to overflow twice.
151 bool IsOverflow = NewTotal < Total;
152 assert(!(DidOverflow && IsOverflow) && "unexpected repeated overflow");
153 DidOverflow |= IsOverflow;
154
155 // Update the total.
156 Total = NewTotal;
157
158 // Save the weight.
159 Weights.push_back(Elt: Weight(Type, Node, Amount));
160}
161
162static void combineWeight(Weight &W, const Weight &OtherW) {
163 assert(OtherW.TargetNode.isValid());
164 if (!W.Amount) {
165 W = OtherW;
166 return;
167 }
168 assert(W.Type == OtherW.Type);
169 assert(W.TargetNode == OtherW.TargetNode);
170 assert(OtherW.Amount && "Expected non-zero weight");
171 if (W.Amount > W.Amount + OtherW.Amount)
172 // Saturate on overflow.
173 W.Amount = UINT64_MAX;
174 else
175 W.Amount += OtherW.Amount;
176}
177
178static void combineWeightsBySorting(WeightList &Weights) {
179 // Sort so edges to the same node are adjacent.
180 llvm::sort(C&: Weights, Comp: [](const Weight &L, const Weight &R) {
181 return L.TargetNode < R.TargetNode;
182 });
183
184 // Combine adjacent edges.
185 WeightList::iterator O = Weights.begin();
186 for (WeightList::const_iterator I = O, L = O, E = Weights.end(); I != E;
187 ++O, (I = L)) {
188 *O = *I;
189
190 // Find the adjacent weights to the same node.
191 for (++L; L != E && I->TargetNode == L->TargetNode; ++L)
192 combineWeight(W&: *O, OtherW: *L);
193 }
194
195 // Erase extra entries.
196 Weights.erase(CS: O, CE: Weights.end());
197}
198
199static void combineWeightsByHashing(WeightList &Weights) {
200 // Collect weights into a DenseMap.
201 using HashTable = DenseMap<BlockNode::IndexType, Weight>;
202
203 HashTable Combined(NextPowerOf2(A: 2 * Weights.size()));
204 for (const Weight &W : Weights)
205 combineWeight(W&: Combined[W.TargetNode.Index], OtherW: W);
206
207 // Check whether anything changed.
208 if (Weights.size() == Combined.size())
209 return;
210
211 // Fill in the new weights.
212 Weights.clear();
213 Weights.reserve(N: Combined.size());
214 for (const auto &I : Combined)
215 Weights.push_back(Elt: I.second);
216}
217
218static void combineWeights(WeightList &Weights) {
219 // Use a hash table for many successors to keep this linear.
220 if (Weights.size() > 128) {
221 combineWeightsByHashing(Weights);
222 return;
223 }
224
225 combineWeightsBySorting(Weights);
226}
227
228static uint64_t shiftRightAndRound(uint64_t N, int Shift) {
229 assert(Shift >= 0);
230 assert(Shift < 64);
231 if (!Shift)
232 return N;
233 return (N >> Shift) + (UINT64_C(1) & N >> (Shift - 1));
234}
235
236void Distribution::normalize() {
237 // Early exit for termination nodes.
238 if (Weights.empty())
239 return;
240
241 // Only bother if there are multiple successors.
242 if (Weights.size() > 1)
243 combineWeights(Weights);
244
245 // Early exit when combined into a single successor.
246 if (Weights.size() == 1) {
247 Total = 1;
248 Weights.front().Amount = 1;
249 return;
250 }
251
252 // Determine how much to shift right so that the total fits into 32-bits.
253 //
254 // If we shift at all, shift by 1 extra. Otherwise, the lower limit of 1
255 // for each weight can cause a 32-bit overflow.
256 int Shift = 0;
257 if (DidOverflow)
258 Shift = 33;
259 else if (Total > UINT32_MAX)
260 Shift = 33 - llvm::countl_zero(Val: Total);
261
262 // Early exit if nothing needs to be scaled.
263 if (!Shift) {
264 // If we didn't overflow then combineWeights() shouldn't have changed the
265 // sum of the weights, but let's double-check.
266 assert(Total == std::accumulate(Weights.begin(), Weights.end(), UINT64_C(0),
267 [](uint64_t Sum, const Weight &W) {
268 return Sum + W.Amount;
269 }) &&
270 "Expected total to be correct");
271 return;
272 }
273
274 // Recompute the total through accumulation (rather than shifting it) so that
275 // it's accurate after shifting and any changes combineWeights() made above.
276 Total = 0;
277
278 // Sum the weights to each node and shift right if necessary.
279 for (Weight &W : Weights) {
280 // Scale down below UINT32_MAX. Since Shift is larger than necessary, we
281 // can round here without concern about overflow.
282 assert(W.TargetNode.isValid());
283 W.Amount = std::max(UINT64_C(1), b: shiftRightAndRound(N: W.Amount, Shift));
284 assert(W.Amount <= UINT32_MAX);
285
286 // Update the total.
287 Total += W.Amount;
288 }
289 assert(Total <= UINT32_MAX);
290}
291
292void BlockFrequencyInfoImplBase::clear() {
293 // Swap with a default-constructed std::vector, since std::vector<>::clear()
294 // does not actually clear heap storage.
295 std::vector<FrequencyData>().swap(x&: Freqs);
296 IsIrrLoopHeader.clear();
297 std::vector<WorkingData>().swap(x&: Working);
298 Loops.clear();
299}
300
301/// Clear all memory not needed downstream.
302///
303/// Releases all memory not used downstream. In particular, saves Freqs.
304static void cleanup(BlockFrequencyInfoImplBase &BFI) {
305 std::vector<FrequencyData> SavedFreqs(std::move(BFI.Freqs));
306 SparseBitVector<> SavedIsIrrLoopHeader(std::move(BFI.IsIrrLoopHeader));
307 BFI.clear();
308 BFI.Freqs = std::move(SavedFreqs);
309 BFI.IsIrrLoopHeader = std::move(SavedIsIrrLoopHeader);
310}
311
312bool BlockFrequencyInfoImplBase::addToDist(Distribution &Dist,
313 const LoopData *OuterLoop,
314 const BlockNode &Pred,
315 const BlockNode &Succ,
316 uint64_t Weight) {
317 if (!Weight)
318 Weight = 1;
319
320 auto isLoopHeader = [&OuterLoop](const BlockNode &Node) {
321 return OuterLoop && OuterLoop->isHeader(Node);
322 };
323
324 BlockNode Resolved = Working[Succ.Index].getResolvedNode();
325
326#ifndef NDEBUG
327 auto debugSuccessor = [&](const char *Type) {
328 dbgs() << " =>"
329 << " [" << Type << "] weight = " << Weight;
330 if (!isLoopHeader(Resolved))
331 dbgs() << ", succ = " << getBlockName(Succ);
332 if (Resolved != Succ)
333 dbgs() << ", resolved = " << getBlockName(Resolved);
334 dbgs() << "\n";
335 };
336 (void)debugSuccessor;
337#endif
338
339 if (isLoopHeader(Resolved)) {
340 LLVM_DEBUG(debugSuccessor("backedge"));
341 Dist.addBackedge(Node: Resolved, Amount: Weight);
342 return true;
343 }
344
345 if (Working[Resolved.Index].getContainingLoop() != OuterLoop) {
346 LLVM_DEBUG(debugSuccessor(" exit "));
347 Dist.addExit(Node: Resolved, Amount: Weight);
348 return true;
349 }
350
351 if (Resolved < Pred) {
352 if (!isLoopHeader(Pred)) {
353 // If OuterLoop is an irreducible loop, we can't actually handle this.
354 assert((!OuterLoop || !OuterLoop->isIrreducible()) &&
355 "unhandled irreducible control flow");
356
357 // Irreducible backedge. Abort.
358 LLVM_DEBUG(debugSuccessor("abort!!!"));
359 return false;
360 }
361
362 // If "Pred" is a loop header, then this isn't really a backedge; rather,
363 // OuterLoop must be irreducible. These false backedges can come only from
364 // secondary loop headers.
365 assert(OuterLoop && OuterLoop->isIrreducible() && !isLoopHeader(Resolved) &&
366 "unhandled irreducible control flow");
367 }
368
369 LLVM_DEBUG(debugSuccessor(" local "));
370 Dist.addLocal(Node: Resolved, Amount: Weight);
371 return true;
372}
373
374bool BlockFrequencyInfoImplBase::addLoopSuccessorsToDist(
375 const LoopData *OuterLoop, LoopData &Loop, Distribution &Dist) {
376 // Copy the exit map into Dist.
377 for (const auto &I : Loop.Exits)
378 if (!addToDist(Dist, OuterLoop, Pred: Loop.getHeader(), Succ: I.first,
379 Weight: I.second.getMass()))
380 // Irreducible backedge.
381 return false;
382
383 return true;
384}
385
386/// Compute the loop scale for a loop.
387void BlockFrequencyInfoImplBase::computeLoopScale(LoopData &Loop) {
388 // Compute loop scale.
389 LLVM_DEBUG(dbgs() << "compute-loop-scale: " << getLoopName(Loop) << "\n");
390
391 // Infinite loops need special handling. If we give the back edge an infinite
392 // mass, they may saturate all the other scales in the function down to 1,
393 // making all the other region temperatures look exactly the same. Choose an
394 // arbitrary scale to avoid these issues.
395 //
396 // FIXME: An alternate way would be to select a symbolic scale which is later
397 // replaced to be the maximum of all computed scales plus 1. This would
398 // appropriately describe the loop as having a large scale, without skewing
399 // the final frequency computation.
400 const Scaled64 InfiniteLoopScale(1, 12);
401
402 // LoopScale == 1 / ExitMass
403 // ExitMass == HeadMass - BackedgeMass
404 BlockMass TotalBackedgeMass;
405 for (auto &Mass : Loop.BackedgeMass)
406 TotalBackedgeMass += Mass;
407 BlockMass ExitMass = BlockMass::getFull() - TotalBackedgeMass;
408
409 // Block scale stores the inverse of the scale. If this is an infinite loop,
410 // its exit mass will be zero. In this case, use an arbitrary scale for the
411 // loop scale.
412 Loop.Scale =
413 ExitMass.isEmpty() ? InfiniteLoopScale : ExitMass.toScaled().inverse();
414
415 LLVM_DEBUG(dbgs() << " - exit-mass = " << ExitMass << " ("
416 << BlockMass::getFull() << " - " << TotalBackedgeMass
417 << ")\n"
418 << " - scale = " << Loop.Scale << "\n");
419}
420
421/// Package up a loop.
422void BlockFrequencyInfoImplBase::packageLoop(LoopData &Loop) {
423 LLVM_DEBUG(dbgs() << "packaging-loop: " << getLoopName(Loop) << "\n");
424
425 // Clear the subloop exits to prevent quadratic memory usage.
426 for (const BlockNode &M : Loop.Nodes) {
427 if (auto *Loop = Working[M.Index].getPackagedLoop())
428 Loop->Exits.clear();
429 LLVM_DEBUG(dbgs() << " - node: " << getBlockName(M.Index) << "\n");
430 }
431 Loop.IsPackaged = true;
432}
433
434#ifndef NDEBUG
435static void debugAssign(const BlockFrequencyInfoImplBase &BFI,
436 const DitheringDistributer &D, const BlockNode &T,
437 const BlockMass &M, const char *Desc) {
438 dbgs() << " => assign " << M << " (" << D.RemMass << ")";
439 if (Desc)
440 dbgs() << " [" << Desc << "]";
441 if (T.isValid())
442 dbgs() << " to " << BFI.getBlockName(T);
443 dbgs() << "\n";
444}
445#endif
446
447void BlockFrequencyInfoImplBase::distributeMass(const BlockNode &Source,
448 LoopData *OuterLoop,
449 Distribution &Dist) {
450 BlockMass Mass = Working[Source.Index].getMass();
451 LLVM_DEBUG(dbgs() << " => mass: " << Mass << "\n");
452
453 // Distribute mass to successors as laid out in Dist.
454 DitheringDistributer D(Dist, Mass);
455
456 for (const Weight &W : Dist.Weights) {
457 // Check for a local edge (non-backedge and non-exit).
458 BlockMass Taken = D.takeMass(Weight: W.Amount);
459 if (W.Type == Weight::Local) {
460 Working[W.TargetNode.Index].getMass() += Taken;
461 LLVM_DEBUG(debugAssign(*this, D, W.TargetNode, Taken, nullptr));
462 continue;
463 }
464
465 // Backedges and exits only make sense if we're processing a loop.
466 assert(OuterLoop && "backedge or exit outside of loop");
467
468 // Check for a backedge.
469 if (W.Type == Weight::Backedge) {
470 OuterLoop->BackedgeMass[OuterLoop->getHeaderIndex(B: W.TargetNode)] += Taken;
471 LLVM_DEBUG(debugAssign(*this, D, W.TargetNode, Taken, "back"));
472 continue;
473 }
474
475 // This must be an exit.
476 assert(W.Type == Weight::Exit);
477 OuterLoop->Exits.push_back(Elt: std::make_pair(x: W.TargetNode, y&: Taken));
478 LLVM_DEBUG(debugAssign(*this, D, W.TargetNode, Taken, "exit"));
479 }
480}
481
482static void convertFloatingToInteger(BlockFrequencyInfoImplBase &BFI,
483 const Scaled64 &Min, const Scaled64 &Max) {
484 // Scale the Factor to a size that creates integers. If possible scale
485 // integers so that Max == UINT64_MAX so that they can be best differentiated.
486 // Is is possible that the range between min and max cannot be accurately
487 // represented in a 64bit integer without either loosing precision for small
488 // values (so small unequal numbers all map to 1) or saturaturing big numbers
489 // loosing precision for big numbers (so unequal big numbers may map to
490 // UINT64_MAX). We choose to loose precision for small numbers.
491 const unsigned MaxBits = sizeof(Scaled64::DigitsType) * CHAR_BIT;
492 // Users often add up multiple BlockFrequency values or multiply them with
493 // things like instruction costs. Leave some room to avoid saturating
494 // operations reaching UIN64_MAX too early.
495 const unsigned Slack = 10;
496 Scaled64 ScalingFactor = Scaled64(1, MaxBits - Slack) / Max;
497
498 // Translate the floats to integers.
499 LLVM_DEBUG(dbgs() << "float-to-int: min = " << Min << ", max = " << Max
500 << ", factor = " << ScalingFactor << "\n");
501 (void)Min;
502 for (size_t Index = 0; Index < BFI.Freqs.size(); ++Index) {
503 Scaled64 Scaled = BFI.Freqs[Index].Scaled * ScalingFactor;
504 BFI.Freqs[Index].Integer = std::max(UINT64_C(1), b: Scaled.toInt<uint64_t>());
505 LLVM_DEBUG(dbgs() << " - " << BFI.getBlockName(Index) << ": float = "
506 << BFI.Freqs[Index].Scaled << ", scaled = " << Scaled
507 << ", int = " << BFI.Freqs[Index].Integer << "\n");
508 }
509}
510
511/// Unwrap a loop package.
512///
513/// Visits all the members of a loop, adjusting their BlockData according to
514/// the loop's pseudo-node.
515static void unwrapLoop(BlockFrequencyInfoImplBase &BFI, LoopData &Loop) {
516 LLVM_DEBUG(dbgs() << "unwrap-loop-package: " << BFI.getLoopName(Loop)
517 << ": mass = " << Loop.Mass << ", scale = " << Loop.Scale
518 << "\n");
519 Loop.Scale *= Loop.Mass.toScaled();
520 Loop.IsPackaged = false;
521 LLVM_DEBUG(dbgs() << " => combined-scale = " << Loop.Scale << "\n");
522
523 // Propagate the head scale through the loop. Since members are visited in
524 // RPO, the head scale will be updated by the loop scale first, and then the
525 // final head scale will be used for updated the rest of the members.
526 for (const BlockNode &N : Loop.Nodes) {
527 const auto &Working = BFI.Working[N.Index];
528 Scaled64 &F = Working.isAPackage() ? Working.getPackagedLoop()->Scale
529 : BFI.Freqs[N.Index].Scaled;
530 Scaled64 New = Loop.Scale * F;
531 LLVM_DEBUG(dbgs() << " - " << BFI.getBlockName(N) << ": " << F << " => "
532 << New << "\n");
533 F = New;
534 }
535}
536
537void BlockFrequencyInfoImplBase::unwrapLoops() {
538 // Set initial frequencies from loop-local masses.
539 for (size_t Index = 0; Index < Working.size(); ++Index)
540 Freqs[Index].Scaled = Working[Index].Mass.toScaled();
541
542 for (LoopData &Loop : Loops)
543 unwrapLoop(BFI&: *this, Loop);
544}
545
546void BlockFrequencyInfoImplBase::finalizeMetrics() {
547 // Unwrap loop packages in reverse post-order, tracking min and max
548 // frequencies.
549 auto Min = Scaled64::getLargest();
550 auto Max = Scaled64::getZero();
551 for (size_t Index = 0; Index < Working.size(); ++Index) {
552 // Update min/max scale.
553 Min = std::min(a: Min, b: Freqs[Index].Scaled);
554 Max = std::max(a: Max, b: Freqs[Index].Scaled);
555 }
556
557 // Convert to integers.
558 convertFloatingToInteger(BFI&: *this, Min, Max);
559
560 // Clean up data structures.
561 cleanup(BFI&: *this);
562
563 // Print out the final stats.
564 LLVM_DEBUG(dump());
565}
566
567BlockFrequency
568BlockFrequencyInfoImplBase::getBlockFreq(const BlockNode &Node) const {
569 if (!Node.isValid()) {
570#ifndef NDEBUG
571 if (CheckBFIUnknownBlockQueries) {
572 SmallString<256> Msg;
573 raw_svector_ostream OS(Msg);
574 OS << "*** Detected BFI query for unknown block " << getBlockName(Node);
575 report_fatal_error(OS.str());
576 }
577#endif
578 return BlockFrequency(0);
579 }
580 return BlockFrequency(Freqs[Node.Index].Integer);
581}
582
583std::optional<uint64_t>
584BlockFrequencyInfoImplBase::getBlockProfileCount(const Function &F,
585 const BlockNode &Node,
586 bool AllowSynthetic) const {
587 return getProfileCountFromFreq(F, Freq: getBlockFreq(Node), AllowSynthetic);
588}
589
590std::optional<uint64_t> BlockFrequencyInfoImplBase::getProfileCountFromFreq(
591 const Function &F, BlockFrequency Freq, bool AllowSynthetic) const {
592 auto EntryCount = F.getEntryCount(AllowSynthetic);
593 if (!EntryCount)
594 return std::nullopt;
595 // Use 128 bit APInt to do the arithmetic to avoid overflow.
596 APInt BlockCount(128, EntryCount->getCount());
597 APInt BlockFreq(128, Freq.getFrequency());
598 APInt EntryFreq(128, getEntryFreq().getFrequency());
599 BlockCount *= BlockFreq;
600 // Rounded division of BlockCount by EntryFreq. Since EntryFreq is unsigned
601 // lshr by 1 gives EntryFreq/2.
602 BlockCount = (BlockCount + EntryFreq.lshr(shiftAmt: 1)).udiv(RHS: EntryFreq);
603 return BlockCount.getLimitedValue();
604}
605
606bool
607BlockFrequencyInfoImplBase::isIrrLoopHeader(const BlockNode &Node) {
608 if (!Node.isValid())
609 return false;
610 return IsIrrLoopHeader.test(Idx: Node.Index);
611}
612
613Scaled64
614BlockFrequencyInfoImplBase::getFloatingBlockFreq(const BlockNode &Node) const {
615 if (!Node.isValid())
616 return Scaled64::getZero();
617 return Freqs[Node.Index].Scaled;
618}
619
620void BlockFrequencyInfoImplBase::setBlockFreq(const BlockNode &Node,
621 BlockFrequency Freq) {
622 assert(Node.isValid() && "Expected valid node");
623 assert(Node.Index < Freqs.size() && "Expected legal index");
624 Freqs[Node.Index].Integer = Freq.getFrequency();
625}
626
627std::string
628BlockFrequencyInfoImplBase::getBlockName(const BlockNode &Node) const {
629 return {};
630}
631
632std::string
633BlockFrequencyInfoImplBase::getLoopName(const LoopData &Loop) const {
634 return getBlockName(Node: Loop.getHeader()) + (Loop.isIrreducible() ? "**" : "*");
635}
636
637void IrreducibleGraph::addNodesInLoop(const BFIBase::LoopData &OuterLoop) {
638 Start = OuterLoop.getHeader();
639 Nodes.reserve(n: OuterLoop.Nodes.size());
640 for (auto N : OuterLoop.Nodes)
641 addNode(Node: N);
642 indexNodes();
643}
644
645void IrreducibleGraph::addNodesInFunction() {
646 Start = 0;
647 for (uint32_t Index = 0; Index < BFI.Working.size(); ++Index)
648 if (!BFI.Working[Index].isPackaged())
649 addNode(Node: Index);
650 indexNodes();
651}
652
653void IrreducibleGraph::indexNodes() {
654 for (auto &I : Nodes)
655 Lookup[I.Node.Index] = &I;
656}
657
658void IrreducibleGraph::addEdge(IrrNode &Irr, const BlockNode &Succ,
659 const BFIBase::LoopData *OuterLoop) {
660 if (OuterLoop && OuterLoop->isHeader(Node: Succ))
661 return;
662 auto L = Lookup.find(Val: Succ.Index);
663 if (L == Lookup.end())
664 return;
665 IrrNode &SuccIrr = *L->second;
666 Irr.Edges.push_back(x: &SuccIrr);
667 SuccIrr.Edges.push_front(x: &Irr);
668 ++SuccIrr.NumIn;
669}
670
671namespace llvm {
672
673template <> struct GraphTraits<IrreducibleGraph> {
674 using GraphT = bfi_detail::IrreducibleGraph;
675 using NodeRef = const GraphT::IrrNode *;
676 using ChildIteratorType = GraphT::IrrNode::iterator;
677
678 static NodeRef getEntryNode(const GraphT &G) { return G.StartIrr; }
679 static ChildIteratorType child_begin(NodeRef N) { return N->succ_begin(); }
680 static ChildIteratorType child_end(NodeRef N) { return N->succ_end(); }
681};
682
683} // end namespace llvm
684
685/// Find extra irreducible headers.
686///
687/// Find entry blocks and other blocks with backedges, which exist when \c G
688/// contains irreducible sub-SCCs.
689static void findIrreducibleHeaders(
690 const BlockFrequencyInfoImplBase &BFI,
691 const IrreducibleGraph &G,
692 const std::vector<const IrreducibleGraph::IrrNode *> &SCC,
693 LoopData::NodeList &Headers, LoopData::NodeList &Others) {
694 // Map from nodes in the SCC to whether it's an entry block.
695 SmallDenseMap<const IrreducibleGraph::IrrNode *, bool, 8> InSCC;
696
697 // InSCC also acts the set of nodes in the graph. Seed it.
698 for (const auto *I : SCC)
699 InSCC[I] = false;
700
701 for (auto I = InSCC.begin(), E = InSCC.end(); I != E; ++I) {
702 auto &Irr = *I->first;
703 for (const auto *P : make_range(x: Irr.pred_begin(), y: Irr.pred_end())) {
704 if (InSCC.count(Val: P))
705 continue;
706
707 // This is an entry block.
708 I->second = true;
709 Headers.push_back(Elt: Irr.Node);
710 LLVM_DEBUG(dbgs() << " => entry = " << BFI.getBlockName(Irr.Node)
711 << "\n");
712 break;
713 }
714 }
715 assert(Headers.size() >= 2 &&
716 "Expected irreducible CFG; -loop-info is likely invalid");
717 if (Headers.size() == InSCC.size()) {
718 // Every block is a header.
719 llvm::sort(C&: Headers);
720 return;
721 }
722
723 // Look for extra headers from irreducible sub-SCCs.
724 for (const auto &I : InSCC) {
725 // Entry blocks are already headers.
726 if (I.second)
727 continue;
728
729 auto &Irr = *I.first;
730 for (const auto *P : make_range(x: Irr.pred_begin(), y: Irr.pred_end())) {
731 // Skip forward edges.
732 if (P->Node < Irr.Node)
733 continue;
734
735 // Skip predecessors from entry blocks. These can have inverted
736 // ordering.
737 if (InSCC.lookup(Val: P))
738 continue;
739
740 // Store the extra header.
741 Headers.push_back(Elt: Irr.Node);
742 LLVM_DEBUG(dbgs() << " => extra = " << BFI.getBlockName(Irr.Node)
743 << "\n");
744 break;
745 }
746 if (Headers.back() == Irr.Node)
747 // Added this as a header.
748 continue;
749
750 // This is not a header.
751 Others.push_back(Elt: Irr.Node);
752 LLVM_DEBUG(dbgs() << " => other = " << BFI.getBlockName(Irr.Node) << "\n");
753 }
754 llvm::sort(C&: Headers);
755 llvm::sort(C&: Others);
756}
757
758static void createIrreducibleLoop(
759 BlockFrequencyInfoImplBase &BFI, const IrreducibleGraph &G,
760 LoopData *OuterLoop, std::list<LoopData>::iterator Insert,
761 const std::vector<const IrreducibleGraph::IrrNode *> &SCC) {
762 // Translate the SCC into RPO.
763 LLVM_DEBUG(dbgs() << " - found-scc\n");
764
765 LoopData::NodeList Headers;
766 LoopData::NodeList Others;
767 findIrreducibleHeaders(BFI, G, SCC, Headers, Others);
768
769 auto Loop = BFI.Loops.emplace(position: Insert, args&: OuterLoop, args: Headers.begin(),
770 args: Headers.end(), args: Others.begin(), args: Others.end());
771
772 // Update loop hierarchy.
773 for (const auto &N : Loop->Nodes)
774 if (BFI.Working[N.Index].isLoopHeader())
775 BFI.Working[N.Index].Loop->Parent = &*Loop;
776 else
777 BFI.Working[N.Index].Loop = &*Loop;
778}
779
780iterator_range<std::list<LoopData>::iterator>
781BlockFrequencyInfoImplBase::analyzeIrreducible(
782 const IrreducibleGraph &G, LoopData *OuterLoop,
783 std::list<LoopData>::iterator Insert) {
784 assert((OuterLoop == nullptr) == (Insert == Loops.begin()));
785 auto Prev = OuterLoop ? std::prev(x: Insert) : Loops.end();
786
787 for (auto I = scc_begin(G); !I.isAtEnd(); ++I) {
788 if (I->size() < 2)
789 continue;
790
791 // Translate the SCC into RPO.
792 createIrreducibleLoop(BFI&: *this, G, OuterLoop, Insert, SCC: *I);
793 }
794
795 if (OuterLoop)
796 return make_range(x: std::next(x: Prev), y: Insert);
797 return make_range(x: Loops.begin(), y: Insert);
798}
799
800void
801BlockFrequencyInfoImplBase::updateLoopWithIrreducible(LoopData &OuterLoop) {
802 OuterLoop.Exits.clear();
803 for (auto &Mass : OuterLoop.BackedgeMass)
804 Mass = BlockMass::getEmpty();
805 auto O = OuterLoop.Nodes.begin() + 1;
806 for (auto I = O, E = OuterLoop.Nodes.end(); I != E; ++I)
807 if (!Working[I->Index].isPackaged())
808 *O++ = *I;
809 OuterLoop.Nodes.erase(CS: O, CE: OuterLoop.Nodes.end());
810}
811
812void BlockFrequencyInfoImplBase::adjustLoopHeaderMass(LoopData &Loop) {
813 assert(Loop.isIrreducible() && "this only makes sense on irreducible loops");
814
815 // Since the loop has more than one header block, the mass flowing back into
816 // each header will be different. Adjust the mass in each header loop to
817 // reflect the masses flowing through back edges.
818 //
819 // To do this, we distribute the initial mass using the backedge masses
820 // as weights for the distribution.
821 BlockMass LoopMass = BlockMass::getFull();
822 Distribution Dist;
823
824 LLVM_DEBUG(dbgs() << "adjust-loop-header-mass:\n");
825 for (uint32_t H = 0; H < Loop.NumHeaders; ++H) {
826 auto &HeaderNode = Loop.Nodes[H];
827 auto &BackedgeMass = Loop.BackedgeMass[Loop.getHeaderIndex(B: HeaderNode)];
828 LLVM_DEBUG(dbgs() << " - Add back edge mass for node "
829 << getBlockName(HeaderNode) << ": " << BackedgeMass
830 << "\n");
831 if (BackedgeMass.getMass() > 0)
832 Dist.addLocal(Node: HeaderNode, Amount: BackedgeMass.getMass());
833 else
834 LLVM_DEBUG(dbgs() << " Nothing added. Back edge mass is zero\n");
835 }
836
837 DitheringDistributer D(Dist, LoopMass);
838
839 LLVM_DEBUG(dbgs() << " Distribute loop mass " << LoopMass
840 << " to headers using above weights\n");
841 for (const Weight &W : Dist.Weights) {
842 BlockMass Taken = D.takeMass(Weight: W.Amount);
843 assert(W.Type == Weight::Local && "all weights should be local");
844 Working[W.TargetNode.Index].getMass() = Taken;
845 LLVM_DEBUG(debugAssign(*this, D, W.TargetNode, Taken, nullptr));
846 }
847}
848
849void BlockFrequencyInfoImplBase::distributeIrrLoopHeaderMass(Distribution &Dist) {
850 BlockMass LoopMass = BlockMass::getFull();
851 DitheringDistributer D(Dist, LoopMass);
852 for (const Weight &W : Dist.Weights) {
853 BlockMass Taken = D.takeMass(Weight: W.Amount);
854 assert(W.Type == Weight::Local && "all weights should be local");
855 Working[W.TargetNode.Index].getMass() = Taken;
856 LLVM_DEBUG(debugAssign(*this, D, W.TargetNode, Taken, nullptr));
857 }
858}
859