Bug Summary

File:llvm/lib/Transforms/Vectorize/SLPVectorizer.cpp
Warning:line 6086, column 25
Called C++ object pointer is null

Annotated Source Code

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clang -cc1 -cc1 -triple x86_64-pc-linux-gnu -analyze -disable-free -disable-llvm-verifier -discard-value-names -main-file-name SLPVectorizer.cpp -analyzer-store=region -analyzer-opt-analyze-nested-blocks -analyzer-checker=core -analyzer-checker=apiModeling -analyzer-checker=unix -analyzer-checker=deadcode -analyzer-checker=cplusplus -analyzer-checker=security.insecureAPI.UncheckedReturn -analyzer-checker=security.insecureAPI.getpw -analyzer-checker=security.insecureAPI.gets -analyzer-checker=security.insecureAPI.mktemp -analyzer-checker=security.insecureAPI.mkstemp -analyzer-checker=security.insecureAPI.vfork -analyzer-checker=nullability.NullPassedToNonnull -analyzer-checker=nullability.NullReturnedFromNonnull -analyzer-output plist -w -setup-static-analyzer -analyzer-config-compatibility-mode=true -mrelocation-model pic -pic-level 2 -mframe-pointer=none -fmath-errno -fno-rounding-math -mconstructor-aliases -munwind-tables -target-cpu x86-64 -tune-cpu generic -debugger-tuning=gdb -ffunction-sections -fdata-sections -fcoverage-compilation-dir=/build/llvm-toolchain-snapshot-14~++20210903100615+fd66b44ec19e/build-llvm/lib/Transforms/Vectorize -resource-dir /usr/lib/llvm-14/lib/clang/14.0.0 -D _GNU_SOURCE -D __STDC_CONSTANT_MACROS -D __STDC_FORMAT_MACROS -D __STDC_LIMIT_MACROS -I /build/llvm-toolchain-snapshot-14~++20210903100615+fd66b44ec19e/build-llvm/lib/Transforms/Vectorize -I /build/llvm-toolchain-snapshot-14~++20210903100615+fd66b44ec19e/llvm/lib/Transforms/Vectorize -I /build/llvm-toolchain-snapshot-14~++20210903100615+fd66b44ec19e/build-llvm/include -I /build/llvm-toolchain-snapshot-14~++20210903100615+fd66b44ec19e/llvm/include -D NDEBUG -internal-isystem /usr/lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10 -internal-isystem /usr/lib/gcc/x86_64-linux-gnu/10/../../../../include/x86_64-linux-gnu/c++/10 -internal-isystem /usr/lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/backward -internal-isystem /usr/lib/llvm-14/lib/clang/14.0.0/include -internal-isystem /usr/local/include -internal-isystem /usr/lib/gcc/x86_64-linux-gnu/10/../../../../x86_64-linux-gnu/include -internal-externc-isystem /usr/include/x86_64-linux-gnu -internal-externc-isystem /include -internal-externc-isystem /usr/include -O2 -Wno-unused-parameter -Wwrite-strings -Wno-missing-field-initializers -Wno-long-long -Wno-maybe-uninitialized -Wno-class-memaccess -Wno-redundant-move -Wno-pessimizing-move -Wno-noexcept-type -Wno-comment -std=c++14 -fdeprecated-macro -fdebug-compilation-dir=/build/llvm-toolchain-snapshot-14~++20210903100615+fd66b44ec19e/build-llvm/lib/Transforms/Vectorize -fdebug-prefix-map=/build/llvm-toolchain-snapshot-14~++20210903100615+fd66b44ec19e=. -ferror-limit 19 -fvisibility-inlines-hidden -stack-protector 2 -fgnuc-version=4.2.1 -vectorize-loops -vectorize-slp -analyzer-output=html -analyzer-config stable-report-filename=true -faddrsig -D__GCC_HAVE_DWARF2_CFI_ASM=1 -o /tmp/scan-build-2021-09-04-040900-46481-1 -x c++ /build/llvm-toolchain-snapshot-14~++20210903100615+fd66b44ec19e/llvm/lib/Transforms/Vectorize/SLPVectorizer.cpp
1//===- SLPVectorizer.cpp - A bottom up SLP Vectorizer ---------------------===//
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// This pass implements the Bottom Up SLP vectorizer. It detects consecutive
10// stores that can be put together into vector-stores. Next, it attempts to
11// construct vectorizable tree using the use-def chains. If a profitable tree
12// was found, the SLP vectorizer performs vectorization on the tree.
13//
14// The pass is inspired by the work described in the paper:
15// "Loop-Aware SLP in GCC" by Ira Rosen, Dorit Nuzman, Ayal Zaks.
16//
17//===----------------------------------------------------------------------===//
18
19#include "llvm/Transforms/Vectorize/SLPVectorizer.h"
20#include "llvm/ADT/DenseMap.h"
21#include "llvm/ADT/DenseSet.h"
22#include "llvm/ADT/Optional.h"
23#include "llvm/ADT/PostOrderIterator.h"
24#include "llvm/ADT/STLExtras.h"
25#include "llvm/ADT/SetOperations.h"
26#include "llvm/ADT/SetVector.h"
27#include "llvm/ADT/SmallBitVector.h"
28#include "llvm/ADT/SmallPtrSet.h"
29#include "llvm/ADT/SmallSet.h"
30#include "llvm/ADT/SmallString.h"
31#include "llvm/ADT/Statistic.h"
32#include "llvm/ADT/iterator.h"
33#include "llvm/ADT/iterator_range.h"
34#include "llvm/Analysis/AliasAnalysis.h"
35#include "llvm/Analysis/AssumptionCache.h"
36#include "llvm/Analysis/CodeMetrics.h"
37#include "llvm/Analysis/DemandedBits.h"
38#include "llvm/Analysis/GlobalsModRef.h"
39#include "llvm/Analysis/IVDescriptors.h"
40#include "llvm/Analysis/LoopAccessAnalysis.h"
41#include "llvm/Analysis/LoopInfo.h"
42#include "llvm/Analysis/MemoryLocation.h"
43#include "llvm/Analysis/OptimizationRemarkEmitter.h"
44#include "llvm/Analysis/ScalarEvolution.h"
45#include "llvm/Analysis/ScalarEvolutionExpressions.h"
46#include "llvm/Analysis/TargetLibraryInfo.h"
47#include "llvm/Analysis/TargetTransformInfo.h"
48#include "llvm/Analysis/ValueTracking.h"
49#include "llvm/Analysis/VectorUtils.h"
50#include "llvm/IR/Attributes.h"
51#include "llvm/IR/BasicBlock.h"
52#include "llvm/IR/Constant.h"
53#include "llvm/IR/Constants.h"
54#include "llvm/IR/DataLayout.h"
55#include "llvm/IR/DebugLoc.h"
56#include "llvm/IR/DerivedTypes.h"
57#include "llvm/IR/Dominators.h"
58#include "llvm/IR/Function.h"
59#include "llvm/IR/IRBuilder.h"
60#include "llvm/IR/InstrTypes.h"
61#include "llvm/IR/Instruction.h"
62#include "llvm/IR/Instructions.h"
63#include "llvm/IR/IntrinsicInst.h"
64#include "llvm/IR/Intrinsics.h"
65#include "llvm/IR/Module.h"
66#include "llvm/IR/NoFolder.h"
67#include "llvm/IR/Operator.h"
68#include "llvm/IR/PatternMatch.h"
69#include "llvm/IR/Type.h"
70#include "llvm/IR/Use.h"
71#include "llvm/IR/User.h"
72#include "llvm/IR/Value.h"
73#include "llvm/IR/ValueHandle.h"
74#include "llvm/IR/Verifier.h"
75#include "llvm/InitializePasses.h"
76#include "llvm/Pass.h"
77#include "llvm/Support/Casting.h"
78#include "llvm/Support/CommandLine.h"
79#include "llvm/Support/Compiler.h"
80#include "llvm/Support/DOTGraphTraits.h"
81#include "llvm/Support/Debug.h"
82#include "llvm/Support/ErrorHandling.h"
83#include "llvm/Support/GraphWriter.h"
84#include "llvm/Support/InstructionCost.h"
85#include "llvm/Support/KnownBits.h"
86#include "llvm/Support/MathExtras.h"
87#include "llvm/Support/raw_ostream.h"
88#include "llvm/Transforms/Utils/InjectTLIMappings.h"
89#include "llvm/Transforms/Utils/LoopUtils.h"
90#include "llvm/Transforms/Vectorize.h"
91#include <algorithm>
92#include <cassert>
93#include <cstdint>
94#include <iterator>
95#include <memory>
96#include <set>
97#include <string>
98#include <tuple>
99#include <utility>
100#include <vector>
101
102using namespace llvm;
103using namespace llvm::PatternMatch;
104using namespace slpvectorizer;
105
106#define SV_NAME"slp-vectorizer" "slp-vectorizer"
107#define DEBUG_TYPE"SLP" "SLP"
108
109STATISTIC(NumVectorInstructions, "Number of vector instructions generated")static llvm::Statistic NumVectorInstructions = {"SLP", "NumVectorInstructions"
, "Number of vector instructions generated"}
;
110
111cl::opt<bool> RunSLPVectorization("vectorize-slp", cl::init(true), cl::Hidden,
112 cl::desc("Run the SLP vectorization passes"));
113
114static cl::opt<int>
115 SLPCostThreshold("slp-threshold", cl::init(0), cl::Hidden,
116 cl::desc("Only vectorize if you gain more than this "
117 "number "));
118
119static cl::opt<bool>
120ShouldVectorizeHor("slp-vectorize-hor", cl::init(true), cl::Hidden,
121 cl::desc("Attempt to vectorize horizontal reductions"));
122
123static cl::opt<bool> ShouldStartVectorizeHorAtStore(
124 "slp-vectorize-hor-store", cl::init(false), cl::Hidden,
125 cl::desc(
126 "Attempt to vectorize horizontal reductions feeding into a store"));
127
128static cl::opt<int>
129MaxVectorRegSizeOption("slp-max-reg-size", cl::init(128), cl::Hidden,
130 cl::desc("Attempt to vectorize for this register size in bits"));
131
132static cl::opt<unsigned>
133MaxVFOption("slp-max-vf", cl::init(0), cl::Hidden,
134 cl::desc("Maximum SLP vectorization factor (0=unlimited)"));
135
136static cl::opt<int>
137MaxStoreLookup("slp-max-store-lookup", cl::init(32), cl::Hidden,
138 cl::desc("Maximum depth of the lookup for consecutive stores."));
139
140/// Limits the size of scheduling regions in a block.
141/// It avoid long compile times for _very_ large blocks where vector
142/// instructions are spread over a wide range.
143/// This limit is way higher than needed by real-world functions.
144static cl::opt<int>
145ScheduleRegionSizeBudget("slp-schedule-budget", cl::init(100000), cl::Hidden,
146 cl::desc("Limit the size of the SLP scheduling region per block"));
147
148static cl::opt<int> MinVectorRegSizeOption(
149 "slp-min-reg-size", cl::init(128), cl::Hidden,
150 cl::desc("Attempt to vectorize for this register size in bits"));
151
152static cl::opt<unsigned> RecursionMaxDepth(
153 "slp-recursion-max-depth", cl::init(12), cl::Hidden,
154 cl::desc("Limit the recursion depth when building a vectorizable tree"));
155
156static cl::opt<unsigned> MinTreeSize(
157 "slp-min-tree-size", cl::init(3), cl::Hidden,
158 cl::desc("Only vectorize small trees if they are fully vectorizable"));
159
160// The maximum depth that the look-ahead score heuristic will explore.
161// The higher this value, the higher the compilation time overhead.
162static cl::opt<int> LookAheadMaxDepth(
163 "slp-max-look-ahead-depth", cl::init(2), cl::Hidden,
164 cl::desc("The maximum look-ahead depth for operand reordering scores"));
165
166// The Look-ahead heuristic goes through the users of the bundle to calculate
167// the users cost in getExternalUsesCost(). To avoid compilation time increase
168// we limit the number of users visited to this value.
169static cl::opt<unsigned> LookAheadUsersBudget(
170 "slp-look-ahead-users-budget", cl::init(2), cl::Hidden,
171 cl::desc("The maximum number of users to visit while visiting the "
172 "predecessors. This prevents compilation time increase."));
173
174static cl::opt<bool>
175 ViewSLPTree("view-slp-tree", cl::Hidden,
176 cl::desc("Display the SLP trees with Graphviz"));
177
178// Limit the number of alias checks. The limit is chosen so that
179// it has no negative effect on the llvm benchmarks.
180static const unsigned AliasedCheckLimit = 10;
181
182// Another limit for the alias checks: The maximum distance between load/store
183// instructions where alias checks are done.
184// This limit is useful for very large basic blocks.
185static const unsigned MaxMemDepDistance = 160;
186
187/// If the ScheduleRegionSizeBudget is exhausted, we allow small scheduling
188/// regions to be handled.
189static const int MinScheduleRegionSize = 16;
190
191/// Predicate for the element types that the SLP vectorizer supports.
192///
193/// The most important thing to filter here are types which are invalid in LLVM
194/// vectors. We also filter target specific types which have absolutely no
195/// meaningful vectorization path such as x86_fp80 and ppc_f128. This just
196/// avoids spending time checking the cost model and realizing that they will
197/// be inevitably scalarized.
198static bool isValidElementType(Type *Ty) {
199 return VectorType::isValidElementType(Ty) && !Ty->isX86_FP80Ty() &&
200 !Ty->isPPC_FP128Ty();
201}
202
203/// \returns true if all of the instructions in \p VL are in the same block or
204/// false otherwise.
205static bool allSameBlock(ArrayRef<Value *> VL) {
206 Instruction *I0 = dyn_cast<Instruction>(VL[0]);
207 if (!I0)
208 return false;
209 BasicBlock *BB = I0->getParent();
210 for (int I = 1, E = VL.size(); I < E; I++) {
211 auto *II = dyn_cast<Instruction>(VL[I]);
212 if (!II)
213 return false;
214
215 if (BB != II->getParent())
216 return false;
217 }
218 return true;
219}
220
221/// \returns True if the value is a constant (but not globals/constant
222/// expressions).
223static bool isConstant(Value *V) {
224 return isa<Constant>(V) && !isa<ConstantExpr>(V) && !isa<GlobalValue>(V);
225}
226
227/// \returns True if all of the values in \p VL are constants (but not
228/// globals/constant expressions).
229static bool allConstant(ArrayRef<Value *> VL) {
230 // Constant expressions and globals can't be vectorized like normal integer/FP
231 // constants.
232 return all_of(VL, isConstant);
233}
234
235/// \returns True if all of the values in \p VL are identical.
236static bool isSplat(ArrayRef<Value *> VL) {
237 for (unsigned i = 1, e = VL.size(); i < e; ++i)
238 if (VL[i] != VL[0])
239 return false;
240 return true;
241}
242
243/// \returns True if \p I is commutative, handles CmpInst and BinaryOperator.
244static bool isCommutative(Instruction *I) {
245 if (auto *Cmp = dyn_cast<CmpInst>(I))
246 return Cmp->isCommutative();
247 if (auto *BO = dyn_cast<BinaryOperator>(I))
248 return BO->isCommutative();
249 // TODO: This should check for generic Instruction::isCommutative(), but
250 // we need to confirm that the caller code correctly handles Intrinsics
251 // for example (does not have 2 operands).
252 return false;
253}
254
255/// Checks if the vector of instructions can be represented as a shuffle, like:
256/// %x0 = extractelement <4 x i8> %x, i32 0
257/// %x3 = extractelement <4 x i8> %x, i32 3
258/// %y1 = extractelement <4 x i8> %y, i32 1
259/// %y2 = extractelement <4 x i8> %y, i32 2
260/// %x0x0 = mul i8 %x0, %x0
261/// %x3x3 = mul i8 %x3, %x3
262/// %y1y1 = mul i8 %y1, %y1
263/// %y2y2 = mul i8 %y2, %y2
264/// %ins1 = insertelement <4 x i8> poison, i8 %x0x0, i32 0
265/// %ins2 = insertelement <4 x i8> %ins1, i8 %x3x3, i32 1
266/// %ins3 = insertelement <4 x i8> %ins2, i8 %y1y1, i32 2
267/// %ins4 = insertelement <4 x i8> %ins3, i8 %y2y2, i32 3
268/// ret <4 x i8> %ins4
269/// can be transformed into:
270/// %1 = shufflevector <4 x i8> %x, <4 x i8> %y, <4 x i32> <i32 0, i32 3, i32 5,
271/// i32 6>
272/// %2 = mul <4 x i8> %1, %1
273/// ret <4 x i8> %2
274/// We convert this initially to something like:
275/// %x0 = extractelement <4 x i8> %x, i32 0
276/// %x3 = extractelement <4 x i8> %x, i32 3
277/// %y1 = extractelement <4 x i8> %y, i32 1
278/// %y2 = extractelement <4 x i8> %y, i32 2
279/// %1 = insertelement <4 x i8> poison, i8 %x0, i32 0
280/// %2 = insertelement <4 x i8> %1, i8 %x3, i32 1
281/// %3 = insertelement <4 x i8> %2, i8 %y1, i32 2
282/// %4 = insertelement <4 x i8> %3, i8 %y2, i32 3
283/// %5 = mul <4 x i8> %4, %4
284/// %6 = extractelement <4 x i8> %5, i32 0
285/// %ins1 = insertelement <4 x i8> poison, i8 %6, i32 0
286/// %7 = extractelement <4 x i8> %5, i32 1
287/// %ins2 = insertelement <4 x i8> %ins1, i8 %7, i32 1
288/// %8 = extractelement <4 x i8> %5, i32 2
289/// %ins3 = insertelement <4 x i8> %ins2, i8 %8, i32 2
290/// %9 = extractelement <4 x i8> %5, i32 3
291/// %ins4 = insertelement <4 x i8> %ins3, i8 %9, i32 3
292/// ret <4 x i8> %ins4
293/// InstCombiner transforms this into a shuffle and vector mul
294/// Mask will return the Shuffle Mask equivalent to the extracted elements.
295/// TODO: Can we split off and reuse the shuffle mask detection from
296/// TargetTransformInfo::getInstructionThroughput?
297static Optional<TargetTransformInfo::ShuffleKind>
298isShuffle(ArrayRef<Value *> VL, SmallVectorImpl<int> &Mask) {
299 auto *EI0 = cast<ExtractElementInst>(VL[0]);
300 unsigned Size =
301 cast<FixedVectorType>(EI0->getVectorOperandType())->getNumElements();
302 Value *Vec1 = nullptr;
303 Value *Vec2 = nullptr;
304 enum ShuffleMode { Unknown, Select, Permute };
305 ShuffleMode CommonShuffleMode = Unknown;
306 for (unsigned I = 0, E = VL.size(); I < E; ++I) {
307 auto *EI = cast<ExtractElementInst>(VL[I]);
308 auto *Vec = EI->getVectorOperand();
309 // All vector operands must have the same number of vector elements.
310 if (cast<FixedVectorType>(Vec->getType())->getNumElements() != Size)
311 return None;
312 auto *Idx = dyn_cast<ConstantInt>(EI->getIndexOperand());
313 if (!Idx)
314 return None;
315 // Undefined behavior if Idx is negative or >= Size.
316 if (Idx->getValue().uge(Size)) {
317 Mask.push_back(UndefMaskElem);
318 continue;
319 }
320 unsigned IntIdx = Idx->getValue().getZExtValue();
321 Mask.push_back(IntIdx);
322 // We can extractelement from undef or poison vector.
323 if (isa<UndefValue>(Vec))
324 continue;
325 // For correct shuffling we have to have at most 2 different vector operands
326 // in all extractelement instructions.
327 if (!Vec1 || Vec1 == Vec)
328 Vec1 = Vec;
329 else if (!Vec2 || Vec2 == Vec)
330 Vec2 = Vec;
331 else
332 return None;
333 if (CommonShuffleMode == Permute)
334 continue;
335 // If the extract index is not the same as the operation number, it is a
336 // permutation.
337 if (IntIdx != I) {
338 CommonShuffleMode = Permute;
339 continue;
340 }
341 CommonShuffleMode = Select;
342 }
343 // If we're not crossing lanes in different vectors, consider it as blending.
344 if (CommonShuffleMode == Select && Vec2)
345 return TargetTransformInfo::SK_Select;
346 // If Vec2 was never used, we have a permutation of a single vector, otherwise
347 // we have permutation of 2 vectors.
348 return Vec2 ? TargetTransformInfo::SK_PermuteTwoSrc
349 : TargetTransformInfo::SK_PermuteSingleSrc;
350}
351
352namespace {
353
354/// Main data required for vectorization of instructions.
355struct InstructionsState {
356 /// The very first instruction in the list with the main opcode.
357 Value *OpValue = nullptr;
358
359 /// The main/alternate instruction.
360 Instruction *MainOp = nullptr;
361 Instruction *AltOp = nullptr;
362
363 /// The main/alternate opcodes for the list of instructions.
364 unsigned getOpcode() const {
365 return MainOp ? MainOp->getOpcode() : 0;
366 }
367
368 unsigned getAltOpcode() const {
369 return AltOp ? AltOp->getOpcode() : 0;
370 }
371
372 /// Some of the instructions in the list have alternate opcodes.
373 bool isAltShuffle() const { return getOpcode() != getAltOpcode(); }
374
375 bool isOpcodeOrAlt(Instruction *I) const {
376 unsigned CheckedOpcode = I->getOpcode();
377 return getOpcode() == CheckedOpcode || getAltOpcode() == CheckedOpcode;
378 }
379
380 InstructionsState() = delete;
381 InstructionsState(Value *OpValue, Instruction *MainOp, Instruction *AltOp)
382 : OpValue(OpValue), MainOp(MainOp), AltOp(AltOp) {}
383};
384
385} // end anonymous namespace
386
387/// Chooses the correct key for scheduling data. If \p Op has the same (or
388/// alternate) opcode as \p OpValue, the key is \p Op. Otherwise the key is \p
389/// OpValue.
390static Value *isOneOf(const InstructionsState &S, Value *Op) {
391 auto *I = dyn_cast<Instruction>(Op);
392 if (I && S.isOpcodeOrAlt(I))
393 return Op;
394 return S.OpValue;
395}
396
397/// \returns true if \p Opcode is allowed as part of of the main/alternate
398/// instruction for SLP vectorization.
399///
400/// Example of unsupported opcode is SDIV that can potentially cause UB if the
401/// "shuffled out" lane would result in division by zero.
402static bool isValidForAlternation(unsigned Opcode) {
403 if (Instruction::isIntDivRem(Opcode))
404 return false;
405
406 return true;
407}
408
409/// \returns analysis of the Instructions in \p VL described in
410/// InstructionsState, the Opcode that we suppose the whole list
411/// could be vectorized even if its structure is diverse.
412static InstructionsState getSameOpcode(ArrayRef<Value *> VL,
413 unsigned BaseIndex = 0) {
414 // Make sure these are all Instructions.
415 if (llvm::any_of(VL, [](Value *V) { return !isa<Instruction>(V); }))
416 return InstructionsState(VL[BaseIndex], nullptr, nullptr);
417
418 bool IsCastOp = isa<CastInst>(VL[BaseIndex]);
419 bool IsBinOp = isa<BinaryOperator>(VL[BaseIndex]);
420 unsigned Opcode = cast<Instruction>(VL[BaseIndex])->getOpcode();
421 unsigned AltOpcode = Opcode;
422 unsigned AltIndex = BaseIndex;
423
424 // Check for one alternate opcode from another BinaryOperator.
425 // TODO - generalize to support all operators (types, calls etc.).
426 for (int Cnt = 0, E = VL.size(); Cnt < E; Cnt++) {
427 unsigned InstOpcode = cast<Instruction>(VL[Cnt])->getOpcode();
428 if (IsBinOp && isa<BinaryOperator>(VL[Cnt])) {
429 if (InstOpcode == Opcode || InstOpcode == AltOpcode)
430 continue;
431 if (Opcode == AltOpcode && isValidForAlternation(InstOpcode) &&
432 isValidForAlternation(Opcode)) {
433 AltOpcode = InstOpcode;
434 AltIndex = Cnt;
435 continue;
436 }
437 } else if (IsCastOp && isa<CastInst>(VL[Cnt])) {
438 Type *Ty0 = cast<Instruction>(VL[BaseIndex])->getOperand(0)->getType();
439 Type *Ty1 = cast<Instruction>(VL[Cnt])->getOperand(0)->getType();
440 if (Ty0 == Ty1) {
441 if (InstOpcode == Opcode || InstOpcode == AltOpcode)
442 continue;
443 if (Opcode == AltOpcode) {
444 assert(isValidForAlternation(Opcode) &&(static_cast<void> (0))
445 isValidForAlternation(InstOpcode) &&(static_cast<void> (0))
446 "Cast isn't safe for alternation, logic needs to be updated!")(static_cast<void> (0));
447 AltOpcode = InstOpcode;
448 AltIndex = Cnt;
449 continue;
450 }
451 }
452 } else if (InstOpcode == Opcode || InstOpcode == AltOpcode)
453 continue;
454 return InstructionsState(VL[BaseIndex], nullptr, nullptr);
455 }
456
457 return InstructionsState(VL[BaseIndex], cast<Instruction>(VL[BaseIndex]),
458 cast<Instruction>(VL[AltIndex]));
459}
460
461/// \returns true if all of the values in \p VL have the same type or false
462/// otherwise.
463static bool allSameType(ArrayRef<Value *> VL) {
464 Type *Ty = VL[0]->getType();
465 for (int i = 1, e = VL.size(); i < e; i++)
466 if (VL[i]->getType() != Ty)
467 return false;
468
469 return true;
470}
471
472/// \returns True if Extract{Value,Element} instruction extracts element Idx.
473static Optional<unsigned> getExtractIndex(Instruction *E) {
474 unsigned Opcode = E->getOpcode();
475 assert((Opcode == Instruction::ExtractElement ||(static_cast<void> (0))
476 Opcode == Instruction::ExtractValue) &&(static_cast<void> (0))
477 "Expected extractelement or extractvalue instruction.")(static_cast<void> (0));
478 if (Opcode == Instruction::ExtractElement) {
479 auto *CI = dyn_cast<ConstantInt>(E->getOperand(1));
480 if (!CI)
481 return None;
482 return CI->getZExtValue();
483 }
484 ExtractValueInst *EI = cast<ExtractValueInst>(E);
485 if (EI->getNumIndices() != 1)
486 return None;
487 return *EI->idx_begin();
488}
489
490/// \returns True if in-tree use also needs extract. This refers to
491/// possible scalar operand in vectorized instruction.
492static bool InTreeUserNeedToExtract(Value *Scalar, Instruction *UserInst,
493 TargetLibraryInfo *TLI) {
494 unsigned Opcode = UserInst->getOpcode();
495 switch (Opcode) {
496 case Instruction::Load: {
497 LoadInst *LI = cast<LoadInst>(UserInst);
498 return (LI->getPointerOperand() == Scalar);
499 }
500 case Instruction::Store: {
501 StoreInst *SI = cast<StoreInst>(UserInst);
502 return (SI->getPointerOperand() == Scalar);
503 }
504 case Instruction::Call: {
505 CallInst *CI = cast<CallInst>(UserInst);
506 Intrinsic::ID ID = getVectorIntrinsicIDForCall(CI, TLI);
507 for (unsigned i = 0, e = CI->getNumArgOperands(); i != e; ++i) {
508 if (hasVectorInstrinsicScalarOpd(ID, i))
509 return (CI->getArgOperand(i) == Scalar);
510 }
511 LLVM_FALLTHROUGH[[gnu::fallthrough]];
512 }
513 default:
514 return false;
515 }
516}
517
518/// \returns the AA location that is being access by the instruction.
519static MemoryLocation getLocation(Instruction *I, AAResults *AA) {
520 if (StoreInst *SI = dyn_cast<StoreInst>(I))
521 return MemoryLocation::get(SI);
522 if (LoadInst *LI = dyn_cast<LoadInst>(I))
523 return MemoryLocation::get(LI);
524 return MemoryLocation();
525}
526
527/// \returns True if the instruction is not a volatile or atomic load/store.
528static bool isSimple(Instruction *I) {
529 if (LoadInst *LI = dyn_cast<LoadInst>(I))
530 return LI->isSimple();
531 if (StoreInst *SI = dyn_cast<StoreInst>(I))
532 return SI->isSimple();
533 if (MemIntrinsic *MI = dyn_cast<MemIntrinsic>(I))
534 return !MI->isVolatile();
535 return true;
536}
537
538namespace llvm {
539
540static void inversePermutation(ArrayRef<unsigned> Indices,
541 SmallVectorImpl<int> &Mask) {
542 Mask.clear();
543 const unsigned E = Indices.size();
544 Mask.resize(E, E + 1);
545 for (unsigned I = 0; I < E; ++I)
546 Mask[Indices[I]] = I;
547}
548
549/// \returns inserting index of InsertElement or InsertValue instruction,
550/// using Offset as base offset for index.
551static Optional<int> getInsertIndex(Value *InsertInst, unsigned Offset) {
552 int Index = Offset;
553 if (auto *IE = dyn_cast<InsertElementInst>(InsertInst)) {
554 if (auto *CI = dyn_cast<ConstantInt>(IE->getOperand(2))) {
555 auto *VT = cast<FixedVectorType>(IE->getType());
556 if (CI->getValue().uge(VT->getNumElements()))
557 return UndefMaskElem;
558 Index *= VT->getNumElements();
559 Index += CI->getZExtValue();
560 return Index;
561 }
562 if (isa<UndefValue>(IE->getOperand(2)))
563 return UndefMaskElem;
564 return None;
565 }
566
567 auto *IV = cast<InsertValueInst>(InsertInst);
568 Type *CurrentType = IV->getType();
569 for (unsigned I : IV->indices()) {
570 if (auto *ST = dyn_cast<StructType>(CurrentType)) {
571 Index *= ST->getNumElements();
572 CurrentType = ST->getElementType(I);
573 } else if (auto *AT = dyn_cast<ArrayType>(CurrentType)) {
574 Index *= AT->getNumElements();
575 CurrentType = AT->getElementType();
576 } else {
577 return None;
578 }
579 Index += I;
580 }
581 return Index;
582}
583
584namespace slpvectorizer {
585
586/// Bottom Up SLP Vectorizer.
587class BoUpSLP {
588 struct TreeEntry;
589 struct ScheduleData;
590
591public:
592 using ValueList = SmallVector<Value *, 8>;
593 using InstrList = SmallVector<Instruction *, 16>;
594 using ValueSet = SmallPtrSet<Value *, 16>;
595 using StoreList = SmallVector<StoreInst *, 8>;
596 using ExtraValueToDebugLocsMap =
597 MapVector<Value *, SmallVector<Instruction *, 2>>;
598 using OrdersType = SmallVector<unsigned, 4>;
599
600 BoUpSLP(Function *Func, ScalarEvolution *Se, TargetTransformInfo *Tti,
601 TargetLibraryInfo *TLi, AAResults *Aa, LoopInfo *Li,
602 DominatorTree *Dt, AssumptionCache *AC, DemandedBits *DB,
603 const DataLayout *DL, OptimizationRemarkEmitter *ORE)
604 : F(Func), SE(Se), TTI(Tti), TLI(TLi), AA(Aa), LI(Li), DT(Dt), AC(AC),
605 DB(DB), DL(DL), ORE(ORE), Builder(Se->getContext()) {
606 CodeMetrics::collectEphemeralValues(F, AC, EphValues);
607 // Use the vector register size specified by the target unless overridden
608 // by a command-line option.
609 // TODO: It would be better to limit the vectorization factor based on
610 // data type rather than just register size. For example, x86 AVX has
611 // 256-bit registers, but it does not support integer operations
612 // at that width (that requires AVX2).
613 if (MaxVectorRegSizeOption.getNumOccurrences())
614 MaxVecRegSize = MaxVectorRegSizeOption;
615 else
616 MaxVecRegSize =
617 TTI->getRegisterBitWidth(TargetTransformInfo::RGK_FixedWidthVector)
618 .getFixedSize();
619
620 if (MinVectorRegSizeOption.getNumOccurrences())
621 MinVecRegSize = MinVectorRegSizeOption;
622 else
623 MinVecRegSize = TTI->getMinVectorRegisterBitWidth();
624 }
625
626 /// Vectorize the tree that starts with the elements in \p VL.
627 /// Returns the vectorized root.
628 Value *vectorizeTree();
629
630 /// Vectorize the tree but with the list of externally used values \p
631 /// ExternallyUsedValues. Values in this MapVector can be replaced but the
632 /// generated extractvalue instructions.
633 Value *vectorizeTree(ExtraValueToDebugLocsMap &ExternallyUsedValues);
634
635 /// \returns the cost incurred by unwanted spills and fills, caused by
636 /// holding live values over call sites.
637 InstructionCost getSpillCost() const;
638
639 /// \returns the vectorization cost of the subtree that starts at \p VL.
640 /// A negative number means that this is profitable.
641 InstructionCost getTreeCost(ArrayRef<Value *> VectorizedVals = None);
642
643 /// Construct a vectorizable tree that starts at \p Roots, ignoring users for
644 /// the purpose of scheduling and extraction in the \p UserIgnoreLst.
645 void buildTree(ArrayRef<Value *> Roots,
646 ArrayRef<Value *> UserIgnoreLst = None);
647
648 /// Construct a vectorizable tree that starts at \p Roots, ignoring users for
649 /// the purpose of scheduling and extraction in the \p UserIgnoreLst taking
650 /// into account (and updating it, if required) list of externally used
651 /// values stored in \p ExternallyUsedValues.
652 void buildTree(ArrayRef<Value *> Roots,
653 ExtraValueToDebugLocsMap &ExternallyUsedValues,
654 ArrayRef<Value *> UserIgnoreLst = None);
655
656 /// Clear the internal data structures that are created by 'buildTree'.
657 void deleteTree() {
658 VectorizableTree.clear();
659 ScalarToTreeEntry.clear();
660 MustGather.clear();
661 ExternalUses.clear();
662 NumOpsWantToKeepOrder.clear();
663 NumOpsWantToKeepOriginalOrder = 0;
664 for (auto &Iter : BlocksSchedules) {
665 BlockScheduling *BS = Iter.second.get();
666 BS->clear();
667 }
668 MinBWs.clear();
669 InstrElementSize.clear();
670 }
671
672 unsigned getTreeSize() const { return VectorizableTree.size(); }
673
674 /// Perform LICM and CSE on the newly generated gather sequences.
675 void optimizeGatherSequence();
676
677 /// \returns The best order of instructions for vectorization.
678 Optional<ArrayRef<unsigned>> bestOrder() const {
679 assert(llvm::all_of((static_cast<void> (0))
680 NumOpsWantToKeepOrder,(static_cast<void> (0))
681 [this](const decltype(NumOpsWantToKeepOrder)::value_type &D) {(static_cast<void> (0))
682 return D.getFirst().size() ==(static_cast<void> (0))
683 VectorizableTree[0]->Scalars.size();(static_cast<void> (0))
684 }) &&(static_cast<void> (0))
685 "All orders must have the same size as number of instructions in "(static_cast<void> (0))
686 "tree node.")(static_cast<void> (0));
687 auto I = std::max_element(
688 NumOpsWantToKeepOrder.begin(), NumOpsWantToKeepOrder.end(),
689 [](const decltype(NumOpsWantToKeepOrder)::value_type &D1,
690 const decltype(NumOpsWantToKeepOrder)::value_type &D2) {
691 return D1.second < D2.second;
692 });
693 if (I == NumOpsWantToKeepOrder.end() ||
694 I->getSecond() <= NumOpsWantToKeepOriginalOrder)
695 return None;
696
697 return makeArrayRef(I->getFirst());
698 }
699
700 /// Builds the correct order for root instructions.
701 /// If some leaves have the same instructions to be vectorized, we may
702 /// incorrectly evaluate the best order for the root node (it is built for the
703 /// vector of instructions without repeated instructions and, thus, has less
704 /// elements than the root node). This function builds the correct order for
705 /// the root node.
706 /// For example, if the root node is \<a+b, a+c, a+d, f+e\>, then the leaves
707 /// are \<a, a, a, f\> and \<b, c, d, e\>. When we try to vectorize the first
708 /// leaf, it will be shrink to \<a, b\>. If instructions in this leaf should
709 /// be reordered, the best order will be \<1, 0\>. We need to extend this
710 /// order for the root node. For the root node this order should look like
711 /// \<3, 0, 1, 2\>. This function extends the order for the reused
712 /// instructions.
713 void findRootOrder(OrdersType &Order) {
714 // If the leaf has the same number of instructions to vectorize as the root
715 // - order must be set already.
716 unsigned RootSize = VectorizableTree[0]->Scalars.size();
717 if (Order.size() == RootSize)
718 return;
719 SmallVector<unsigned, 4> RealOrder(Order.size());
720 std::swap(Order, RealOrder);
721 SmallVector<int, 4> Mask;
722 inversePermutation(RealOrder, Mask);
723 Order.assign(Mask.begin(), Mask.end());
724 // The leaf has less number of instructions - need to find the true order of
725 // the root.
726 // Scan the nodes starting from the leaf back to the root.
727 const TreeEntry *PNode = VectorizableTree.back().get();
728 SmallVector<const TreeEntry *, 4> Nodes(1, PNode);
729 SmallPtrSet<const TreeEntry *, 4> Visited;
730 while (!Nodes.empty() && Order.size() != RootSize) {
731 const TreeEntry *PNode = Nodes.pop_back_val();
732 if (!Visited.insert(PNode).second)
733 continue;
734 const TreeEntry &Node = *PNode;
735 for (const EdgeInfo &EI : Node.UserTreeIndices)
736 if (EI.UserTE)
737 Nodes.push_back(EI.UserTE);
738 if (Node.ReuseShuffleIndices.empty())
739 continue;
740 // Build the order for the parent node.
741 OrdersType NewOrder(Node.ReuseShuffleIndices.size(), RootSize);
742 SmallVector<unsigned, 4> OrderCounter(Order.size(), 0);
743 // The algorithm of the order extension is:
744 // 1. Calculate the number of the same instructions for the order.
745 // 2. Calculate the index of the new order: total number of instructions
746 // with order less than the order of the current instruction + reuse
747 // number of the current instruction.
748 // 3. The new order is just the index of the instruction in the original
749 // vector of the instructions.
750 for (unsigned I : Node.ReuseShuffleIndices)
751 ++OrderCounter[Order[I]];
752 SmallVector<unsigned, 4> CurrentCounter(Order.size(), 0);
753 for (unsigned I = 0, E = Node.ReuseShuffleIndices.size(); I < E; ++I) {
754 unsigned ReusedIdx = Node.ReuseShuffleIndices[I];
755 unsigned OrderIdx = Order[ReusedIdx];
756 unsigned NewIdx = 0;
757 for (unsigned J = 0; J < OrderIdx; ++J)
758 NewIdx += OrderCounter[J];
759 NewIdx += CurrentCounter[OrderIdx];
760 ++CurrentCounter[OrderIdx];
761 assert(NewOrder[NewIdx] == RootSize &&(static_cast<void> (0))
762 "The order index should not be written already.")(static_cast<void> (0));
763 NewOrder[NewIdx] = I;
764 }
765 std::swap(Order, NewOrder);
766 }
767 assert(Order.size() == RootSize &&(static_cast<void> (0))
768 "Root node is expected or the size of the order must be the same as "(static_cast<void> (0))
769 "the number of elements in the root node.")(static_cast<void> (0));
770 assert(llvm::all_of(Order,(static_cast<void> (0))
771 [RootSize](unsigned Val) { return Val != RootSize; }) &&(static_cast<void> (0))
772 "All indices must be initialized")(static_cast<void> (0));
773 }
774
775 /// \return The vector element size in bits to use when vectorizing the
776 /// expression tree ending at \p V. If V is a store, the size is the width of
777 /// the stored value. Otherwise, the size is the width of the largest loaded
778 /// value reaching V. This method is used by the vectorizer to calculate
779 /// vectorization factors.
780 unsigned getVectorElementSize(Value *V);
781
782 /// Compute the minimum type sizes required to represent the entries in a
783 /// vectorizable tree.
784 void computeMinimumValueSizes();
785
786 // \returns maximum vector register size as set by TTI or overridden by cl::opt.
787 unsigned getMaxVecRegSize() const {
788 return MaxVecRegSize;
789 }
790
791 // \returns minimum vector register size as set by cl::opt.
792 unsigned getMinVecRegSize() const {
793 return MinVecRegSize;
794 }
795
796 unsigned getMaximumVF(unsigned ElemWidth, unsigned Opcode) const {
797 unsigned MaxVF = MaxVFOption.getNumOccurrences() ?
798 MaxVFOption : TTI->getMaximumVF(ElemWidth, Opcode);
799 return MaxVF ? MaxVF : UINT_MAX(2147483647 *2U +1U);
800 }
801
802 /// Check if homogeneous aggregate is isomorphic to some VectorType.
803 /// Accepts homogeneous multidimensional aggregate of scalars/vectors like
804 /// {[4 x i16], [4 x i16]}, { <2 x float>, <2 x float> },
805 /// {{{i16, i16}, {i16, i16}}, {{i16, i16}, {i16, i16}}} and so on.
806 ///
807 /// \returns number of elements in vector if isomorphism exists, 0 otherwise.
808 unsigned canMapToVector(Type *T, const DataLayout &DL) const;
809
810 /// \returns True if the VectorizableTree is both tiny and not fully
811 /// vectorizable. We do not vectorize such trees.
812 bool isTreeTinyAndNotFullyVectorizable() const;
813
814 /// Assume that a legal-sized 'or'-reduction of shifted/zexted loaded values
815 /// can be load combined in the backend. Load combining may not be allowed in
816 /// the IR optimizer, so we do not want to alter the pattern. For example,
817 /// partially transforming a scalar bswap() pattern into vector code is
818 /// effectively impossible for the backend to undo.
819 /// TODO: If load combining is allowed in the IR optimizer, this analysis
820 /// may not be necessary.
821 bool isLoadCombineReductionCandidate(RecurKind RdxKind) const;
822
823 /// Assume that a vector of stores of bitwise-or/shifted/zexted loaded values
824 /// can be load combined in the backend. Load combining may not be allowed in
825 /// the IR optimizer, so we do not want to alter the pattern. For example,
826 /// partially transforming a scalar bswap() pattern into vector code is
827 /// effectively impossible for the backend to undo.
828 /// TODO: If load combining is allowed in the IR optimizer, this analysis
829 /// may not be necessary.
830 bool isLoadCombineCandidate() const;
831
832 OptimizationRemarkEmitter *getORE() { return ORE; }
833
834 /// This structure holds any data we need about the edges being traversed
835 /// during buildTree_rec(). We keep track of:
836 /// (i) the user TreeEntry index, and
837 /// (ii) the index of the edge.
838 struct EdgeInfo {
839 EdgeInfo() = default;
840 EdgeInfo(TreeEntry *UserTE, unsigned EdgeIdx)
841 : UserTE(UserTE), EdgeIdx(EdgeIdx) {}
842 /// The user TreeEntry.
843 TreeEntry *UserTE = nullptr;
844 /// The operand index of the use.
845 unsigned EdgeIdx = UINT_MAX(2147483647 *2U +1U);
846#ifndef NDEBUG1
847 friend inline raw_ostream &operator<<(raw_ostream &OS,
848 const BoUpSLP::EdgeInfo &EI) {
849 EI.dump(OS);
850 return OS;
851 }
852 /// Debug print.
853 void dump(raw_ostream &OS) const {
854 OS << "{User:" << (UserTE ? std::to_string(UserTE->Idx) : "null")
855 << " EdgeIdx:" << EdgeIdx << "}";
856 }
857 LLVM_DUMP_METHOD__attribute__((noinline)) __attribute__((__used__)) void dump() const { dump(dbgs()); }
858#endif
859 };
860
861 /// A helper data structure to hold the operands of a vector of instructions.
862 /// This supports a fixed vector length for all operand vectors.
863 class VLOperands {
864 /// For each operand we need (i) the value, and (ii) the opcode that it
865 /// would be attached to if the expression was in a left-linearized form.
866 /// This is required to avoid illegal operand reordering.
867 /// For example:
868 /// \verbatim
869 /// 0 Op1
870 /// |/
871 /// Op1 Op2 Linearized + Op2
872 /// \ / ----------> |/
873 /// - -
874 ///
875 /// Op1 - Op2 (0 + Op1) - Op2
876 /// \endverbatim
877 ///
878 /// Value Op1 is attached to a '+' operation, and Op2 to a '-'.
879 ///
880 /// Another way to think of this is to track all the operations across the
881 /// path from the operand all the way to the root of the tree and to
882 /// calculate the operation that corresponds to this path. For example, the
883 /// path from Op2 to the root crosses the RHS of the '-', therefore the
884 /// corresponding operation is a '-' (which matches the one in the
885 /// linearized tree, as shown above).
886 ///
887 /// For lack of a better term, we refer to this operation as Accumulated
888 /// Path Operation (APO).
889 struct OperandData {
890 OperandData() = default;
891 OperandData(Value *V, bool APO, bool IsUsed)
892 : V(V), APO(APO), IsUsed(IsUsed) {}
893 /// The operand value.
894 Value *V = nullptr;
895 /// TreeEntries only allow a single opcode, or an alternate sequence of
896 /// them (e.g, +, -). Therefore, we can safely use a boolean value for the
897 /// APO. It is set to 'true' if 'V' is attached to an inverse operation
898 /// in the left-linearized form (e.g., Sub/Div), and 'false' otherwise
899 /// (e.g., Add/Mul)
900 bool APO = false;
901 /// Helper data for the reordering function.
902 bool IsUsed = false;
903 };
904
905 /// During operand reordering, we are trying to select the operand at lane
906 /// that matches best with the operand at the neighboring lane. Our
907 /// selection is based on the type of value we are looking for. For example,
908 /// if the neighboring lane has a load, we need to look for a load that is
909 /// accessing a consecutive address. These strategies are summarized in the
910 /// 'ReorderingMode' enumerator.
911 enum class ReorderingMode {
912 Load, ///< Matching loads to consecutive memory addresses
913 Opcode, ///< Matching instructions based on opcode (same or alternate)
914 Constant, ///< Matching constants
915 Splat, ///< Matching the same instruction multiple times (broadcast)
916 Failed, ///< We failed to create a vectorizable group
917 };
918
919 using OperandDataVec = SmallVector<OperandData, 2>;
920
921 /// A vector of operand vectors.
922 SmallVector<OperandDataVec, 4> OpsVec;
923
924 const DataLayout &DL;
925 ScalarEvolution &SE;
926 const BoUpSLP &R;
927
928 /// \returns the operand data at \p OpIdx and \p Lane.
929 OperandData &getData(unsigned OpIdx, unsigned Lane) {
930 return OpsVec[OpIdx][Lane];
931 }
932
933 /// \returns the operand data at \p OpIdx and \p Lane. Const version.
934 const OperandData &getData(unsigned OpIdx, unsigned Lane) const {
935 return OpsVec[OpIdx][Lane];
936 }
937
938 /// Clears the used flag for all entries.
939 void clearUsed() {
940 for (unsigned OpIdx = 0, NumOperands = getNumOperands();
941 OpIdx != NumOperands; ++OpIdx)
942 for (unsigned Lane = 0, NumLanes = getNumLanes(); Lane != NumLanes;
943 ++Lane)
944 OpsVec[OpIdx][Lane].IsUsed = false;
945 }
946
947 /// Swap the operand at \p OpIdx1 with that one at \p OpIdx2.
948 void swap(unsigned OpIdx1, unsigned OpIdx2, unsigned Lane) {
949 std::swap(OpsVec[OpIdx1][Lane], OpsVec[OpIdx2][Lane]);
950 }
951
952 // The hard-coded scores listed here are not very important. When computing
953 // the scores of matching one sub-tree with another, we are basically
954 // counting the number of values that are matching. So even if all scores
955 // are set to 1, we would still get a decent matching result.
956 // However, sometimes we have to break ties. For example we may have to
957 // choose between matching loads vs matching opcodes. This is what these
958 // scores are helping us with: they provide the order of preference.
959
960 /// Loads from consecutive memory addresses, e.g. load(A[i]), load(A[i+1]).
961 static const int ScoreConsecutiveLoads = 3;
962 /// ExtractElementInst from same vector and consecutive indexes.
963 static const int ScoreConsecutiveExtracts = 3;
964 /// Constants.
965 static const int ScoreConstants = 2;
966 /// Instructions with the same opcode.
967 static const int ScoreSameOpcode = 2;
968 /// Instructions with alt opcodes (e.g, add + sub).
969 static const int ScoreAltOpcodes = 1;
970 /// Identical instructions (a.k.a. splat or broadcast).
971 static const int ScoreSplat = 1;
972 /// Matching with an undef is preferable to failing.
973 static const int ScoreUndef = 1;
974 /// Score for failing to find a decent match.
975 static const int ScoreFail = 0;
976 /// User exteranl to the vectorized code.
977 static const int ExternalUseCost = 1;
978 /// The user is internal but in a different lane.
979 static const int UserInDiffLaneCost = ExternalUseCost;
980
981 /// \returns the score of placing \p V1 and \p V2 in consecutive lanes.
982 static int getShallowScore(Value *V1, Value *V2, const DataLayout &DL,
983 ScalarEvolution &SE) {
984 auto *LI1 = dyn_cast<LoadInst>(V1);
985 auto *LI2 = dyn_cast<LoadInst>(V2);
986 if (LI1 && LI2) {
987 if (LI1->getParent() != LI2->getParent())
988 return VLOperands::ScoreFail;
989
990 Optional<int> Dist = getPointersDiff(
991 LI1->getType(), LI1->getPointerOperand(), LI2->getType(),
992 LI2->getPointerOperand(), DL, SE, /*StrictCheck=*/true);
993 return (Dist && *Dist == 1) ? VLOperands::ScoreConsecutiveLoads
994 : VLOperands::ScoreFail;
995 }
996
997 auto *C1 = dyn_cast<Constant>(V1);
998 auto *C2 = dyn_cast<Constant>(V2);
999 if (C1 && C2)
1000 return VLOperands::ScoreConstants;
1001
1002 // Extracts from consecutive indexes of the same vector better score as
1003 // the extracts could be optimized away.
1004 Value *EV;
1005 ConstantInt *Ex1Idx, *Ex2Idx;
1006 if (match(V1, m_ExtractElt(m_Value(EV), m_ConstantInt(Ex1Idx))) &&
1007 match(V2, m_ExtractElt(m_Deferred(EV), m_ConstantInt(Ex2Idx))) &&
1008 Ex1Idx->getZExtValue() + 1 == Ex2Idx->getZExtValue())
1009 return VLOperands::ScoreConsecutiveExtracts;
1010
1011 auto *I1 = dyn_cast<Instruction>(V1);
1012 auto *I2 = dyn_cast<Instruction>(V2);
1013 if (I1 && I2) {
1014 if (I1 == I2)
1015 return VLOperands::ScoreSplat;
1016 InstructionsState S = getSameOpcode({I1, I2});
1017 // Note: Only consider instructions with <= 2 operands to avoid
1018 // complexity explosion.
1019 if (S.getOpcode() && S.MainOp->getNumOperands() <= 2)
1020 return S.isAltShuffle() ? VLOperands::ScoreAltOpcodes
1021 : VLOperands::ScoreSameOpcode;
1022 }
1023
1024 if (isa<UndefValue>(V2))
1025 return VLOperands::ScoreUndef;
1026
1027 return VLOperands::ScoreFail;
1028 }
1029
1030 /// Holds the values and their lane that are taking part in the look-ahead
1031 /// score calculation. This is used in the external uses cost calculation.
1032 SmallDenseMap<Value *, int> InLookAheadValues;
1033
1034 /// \Returns the additinal cost due to uses of \p LHS and \p RHS that are
1035 /// either external to the vectorized code, or require shuffling.
1036 int getExternalUsesCost(const std::pair<Value *, int> &LHS,
1037 const std::pair<Value *, int> &RHS) {
1038 int Cost = 0;
1039 std::array<std::pair<Value *, int>, 2> Values = {{LHS, RHS}};
1040 for (int Idx = 0, IdxE = Values.size(); Idx != IdxE; ++Idx) {
1041 Value *V = Values[Idx].first;
1042 if (isa<Constant>(V)) {
1043 // Since this is a function pass, it doesn't make semantic sense to
1044 // walk the users of a subclass of Constant. The users could be in
1045 // another function, or even another module that happens to be in
1046 // the same LLVMContext.
1047 continue;
1048 }
1049
1050 // Calculate the absolute lane, using the minimum relative lane of LHS
1051 // and RHS as base and Idx as the offset.
1052 int Ln = std::min(LHS.second, RHS.second) + Idx;
1053 assert(Ln >= 0 && "Bad lane calculation")(static_cast<void> (0));
1054 unsigned UsersBudget = LookAheadUsersBudget;
1055 for (User *U : V->users()) {
1056 if (const TreeEntry *UserTE = R.getTreeEntry(U)) {
1057 // The user is in the VectorizableTree. Check if we need to insert.
1058 auto It = llvm::find(UserTE->Scalars, U);
1059 assert(It != UserTE->Scalars.end() && "U is in UserTE")(static_cast<void> (0));
1060 int UserLn = std::distance(UserTE->Scalars.begin(), It);
1061 assert(UserLn >= 0 && "Bad lane")(static_cast<void> (0));
1062 if (UserLn != Ln)
1063 Cost += UserInDiffLaneCost;
1064 } else {
1065 // Check if the user is in the look-ahead code.
1066 auto It2 = InLookAheadValues.find(U);
1067 if (It2 != InLookAheadValues.end()) {
1068 // The user is in the look-ahead code. Check the lane.
1069 if (It2->second != Ln)
1070 Cost += UserInDiffLaneCost;
1071 } else {
1072 // The user is neither in SLP tree nor in the look-ahead code.
1073 Cost += ExternalUseCost;
1074 }
1075 }
1076 // Limit the number of visited uses to cap compilation time.
1077 if (--UsersBudget == 0)
1078 break;
1079 }
1080 }
1081 return Cost;
1082 }
1083
1084 /// Go through the operands of \p LHS and \p RHS recursively until \p
1085 /// MaxLevel, and return the cummulative score. For example:
1086 /// \verbatim
1087 /// A[0] B[0] A[1] B[1] C[0] D[0] B[1] A[1]
1088 /// \ / \ / \ / \ /
1089 /// + + + +
1090 /// G1 G2 G3 G4
1091 /// \endverbatim
1092 /// The getScoreAtLevelRec(G1, G2) function will try to match the nodes at
1093 /// each level recursively, accumulating the score. It starts from matching
1094 /// the additions at level 0, then moves on to the loads (level 1). The
1095 /// score of G1 and G2 is higher than G1 and G3, because {A[0],A[1]} and
1096 /// {B[0],B[1]} match with VLOperands::ScoreConsecutiveLoads, while
1097 /// {A[0],C[0]} has a score of VLOperands::ScoreFail.
1098 /// Please note that the order of the operands does not matter, as we
1099 /// evaluate the score of all profitable combinations of operands. In
1100 /// other words the score of G1 and G4 is the same as G1 and G2. This
1101 /// heuristic is based on ideas described in:
1102 /// Look-ahead SLP: Auto-vectorization in the presence of commutative
1103 /// operations, CGO 2018 by Vasileios Porpodas, Rodrigo C. O. Rocha,
1104 /// Luís F. W. Góes
1105 int getScoreAtLevelRec(const std::pair<Value *, int> &LHS,
1106 const std::pair<Value *, int> &RHS, int CurrLevel,
1107 int MaxLevel) {
1108
1109 Value *V1 = LHS.first;
1110 Value *V2 = RHS.first;
1111 // Get the shallow score of V1 and V2.
1112 int ShallowScoreAtThisLevel =
1113 std::max((int)ScoreFail, getShallowScore(V1, V2, DL, SE) -
1114 getExternalUsesCost(LHS, RHS));
1115 int Lane1 = LHS.second;
1116 int Lane2 = RHS.second;
1117
1118 // If reached MaxLevel,
1119 // or if V1 and V2 are not instructions,
1120 // or if they are SPLAT,
1121 // or if they are not consecutive, early return the current cost.
1122 auto *I1 = dyn_cast<Instruction>(V1);
1123 auto *I2 = dyn_cast<Instruction>(V2);
1124 if (CurrLevel == MaxLevel || !(I1 && I2) || I1 == I2 ||
1125 ShallowScoreAtThisLevel == VLOperands::ScoreFail ||
1126 (isa<LoadInst>(I1) && isa<LoadInst>(I2) && ShallowScoreAtThisLevel))
1127 return ShallowScoreAtThisLevel;
1128 assert(I1 && I2 && "Should have early exited.")(static_cast<void> (0));
1129
1130 // Keep track of in-tree values for determining the external-use cost.
1131 InLookAheadValues[V1] = Lane1;
1132 InLookAheadValues[V2] = Lane2;
1133
1134 // Contains the I2 operand indexes that got matched with I1 operands.
1135 SmallSet<unsigned, 4> Op2Used;
1136
1137 // Recursion towards the operands of I1 and I2. We are trying all possbile
1138 // operand pairs, and keeping track of the best score.
1139 for (unsigned OpIdx1 = 0, NumOperands1 = I1->getNumOperands();
1140 OpIdx1 != NumOperands1; ++OpIdx1) {
1141 // Try to pair op1I with the best operand of I2.
1142 int MaxTmpScore = 0;
1143 unsigned MaxOpIdx2 = 0;
1144 bool FoundBest = false;
1145 // If I2 is commutative try all combinations.
1146 unsigned FromIdx = isCommutative(I2) ? 0 : OpIdx1;
1147 unsigned ToIdx = isCommutative(I2)
1148 ? I2->getNumOperands()
1149 : std::min(I2->getNumOperands(), OpIdx1 + 1);
1150 assert(FromIdx <= ToIdx && "Bad index")(static_cast<void> (0));
1151 for (unsigned OpIdx2 = FromIdx; OpIdx2 != ToIdx; ++OpIdx2) {
1152 // Skip operands already paired with OpIdx1.
1153 if (Op2Used.count(OpIdx2))
1154 continue;
1155 // Recursively calculate the cost at each level
1156 int TmpScore = getScoreAtLevelRec({I1->getOperand(OpIdx1), Lane1},
1157 {I2->getOperand(OpIdx2), Lane2},
1158 CurrLevel + 1, MaxLevel);
1159 // Look for the best score.
1160 if (TmpScore > VLOperands::ScoreFail && TmpScore > MaxTmpScore) {
1161 MaxTmpScore = TmpScore;
1162 MaxOpIdx2 = OpIdx2;
1163 FoundBest = true;
1164 }
1165 }
1166 if (FoundBest) {
1167 // Pair {OpIdx1, MaxOpIdx2} was found to be best. Never revisit it.
1168 Op2Used.insert(MaxOpIdx2);
1169 ShallowScoreAtThisLevel += MaxTmpScore;
1170 }
1171 }
1172 return ShallowScoreAtThisLevel;
1173 }
1174
1175 /// \Returns the look-ahead score, which tells us how much the sub-trees
1176 /// rooted at \p LHS and \p RHS match, the more they match the higher the
1177 /// score. This helps break ties in an informed way when we cannot decide on
1178 /// the order of the operands by just considering the immediate
1179 /// predecessors.
1180 int getLookAheadScore(const std::pair<Value *, int> &LHS,
1181 const std::pair<Value *, int> &RHS) {
1182 InLookAheadValues.clear();
1183 return getScoreAtLevelRec(LHS, RHS, 1, LookAheadMaxDepth);
1184 }
1185
1186 // Search all operands in Ops[*][Lane] for the one that matches best
1187 // Ops[OpIdx][LastLane] and return its opreand index.
1188 // If no good match can be found, return None.
1189 Optional<unsigned>
1190 getBestOperand(unsigned OpIdx, int Lane, int LastLane,
1191 ArrayRef<ReorderingMode> ReorderingModes) {
1192 unsigned NumOperands = getNumOperands();
1193
1194 // The operand of the previous lane at OpIdx.
1195 Value *OpLastLane = getData(OpIdx, LastLane).V;
1196
1197 // Our strategy mode for OpIdx.
1198 ReorderingMode RMode = ReorderingModes[OpIdx];
1199
1200 // The linearized opcode of the operand at OpIdx, Lane.
1201 bool OpIdxAPO = getData(OpIdx, Lane).APO;
1202
1203 // The best operand index and its score.
1204 // Sometimes we have more than one option (e.g., Opcode and Undefs), so we
1205 // are using the score to differentiate between the two.
1206 struct BestOpData {
1207 Optional<unsigned> Idx = None;
1208 unsigned Score = 0;
1209 } BestOp;
1210
1211 // Iterate through all unused operands and look for the best.
1212 for (unsigned Idx = 0; Idx != NumOperands; ++Idx) {
1213 // Get the operand at Idx and Lane.
1214 OperandData &OpData = getData(Idx, Lane);
1215 Value *Op = OpData.V;
1216 bool OpAPO = OpData.APO;
1217
1218 // Skip already selected operands.
1219 if (OpData.IsUsed)
1220 continue;
1221
1222 // Skip if we are trying to move the operand to a position with a
1223 // different opcode in the linearized tree form. This would break the
1224 // semantics.
1225 if (OpAPO != OpIdxAPO)
1226 continue;
1227
1228 // Look for an operand that matches the current mode.
1229 switch (RMode) {
1230 case ReorderingMode::Load:
1231 case ReorderingMode::Constant:
1232 case ReorderingMode::Opcode: {
1233 bool LeftToRight = Lane > LastLane;
1234 Value *OpLeft = (LeftToRight) ? OpLastLane : Op;
1235 Value *OpRight = (LeftToRight) ? Op : OpLastLane;
1236 unsigned Score =
1237 getLookAheadScore({OpLeft, LastLane}, {OpRight, Lane});
1238 if (Score > BestOp.Score) {
1239 BestOp.Idx = Idx;
1240 BestOp.Score = Score;
1241 }
1242 break;
1243 }
1244 case ReorderingMode::Splat:
1245 if (Op == OpLastLane)
1246 BestOp.Idx = Idx;
1247 break;
1248 case ReorderingMode::Failed:
1249 return None;
1250 }
1251 }
1252
1253 if (BestOp.Idx) {
1254 getData(BestOp.Idx.getValue(), Lane).IsUsed = true;
1255 return BestOp.Idx;
1256 }
1257 // If we could not find a good match return None.
1258 return None;
1259 }
1260
1261 /// Helper for reorderOperandVecs. \Returns the lane that we should start
1262 /// reordering from. This is the one which has the least number of operands
1263 /// that can freely move about.
1264 unsigned getBestLaneToStartReordering() const {
1265 unsigned BestLane = 0;
1266 unsigned Min = UINT_MAX(2147483647 *2U +1U);
1267 for (unsigned Lane = 0, NumLanes = getNumLanes(); Lane != NumLanes;
1268 ++Lane) {
1269 unsigned NumFreeOps = getMaxNumOperandsThatCanBeReordered(Lane);
1270 if (NumFreeOps < Min) {
1271 Min = NumFreeOps;
1272 BestLane = Lane;
1273 }
1274 }
1275 return BestLane;
1276 }
1277
1278 /// \Returns the maximum number of operands that are allowed to be reordered
1279 /// for \p Lane. This is used as a heuristic for selecting the first lane to
1280 /// start operand reordering.
1281 unsigned getMaxNumOperandsThatCanBeReordered(unsigned Lane) const {
1282 unsigned CntTrue = 0;
1283 unsigned NumOperands = getNumOperands();
1284 // Operands with the same APO can be reordered. We therefore need to count
1285 // how many of them we have for each APO, like this: Cnt[APO] = x.
1286 // Since we only have two APOs, namely true and false, we can avoid using
1287 // a map. Instead we can simply count the number of operands that
1288 // correspond to one of them (in this case the 'true' APO), and calculate
1289 // the other by subtracting it from the total number of operands.
1290 for (unsigned OpIdx = 0; OpIdx != NumOperands; ++OpIdx)
1291 if (getData(OpIdx, Lane).APO)
1292 ++CntTrue;
1293 unsigned CntFalse = NumOperands - CntTrue;
1294 return std::max(CntTrue, CntFalse);
1295 }
1296
1297 /// Go through the instructions in VL and append their operands.
1298 void appendOperandsOfVL(ArrayRef<Value *> VL) {
1299 assert(!VL.empty() && "Bad VL")(static_cast<void> (0));
1300 assert((empty() || VL.size() == getNumLanes()) &&(static_cast<void> (0))
1301 "Expected same number of lanes")(static_cast<void> (0));
1302 assert(isa<Instruction>(VL[0]) && "Expected instruction")(static_cast<void> (0));
1303 unsigned NumOperands = cast<Instruction>(VL[0])->getNumOperands();
1304 OpsVec.resize(NumOperands);
1305 unsigned NumLanes = VL.size();
1306 for (unsigned OpIdx = 0; OpIdx != NumOperands; ++OpIdx) {
1307 OpsVec[OpIdx].resize(NumLanes);
1308 for (unsigned Lane = 0; Lane != NumLanes; ++Lane) {
1309 assert(isa<Instruction>(VL[Lane]) && "Expected instruction")(static_cast<void> (0));
1310 // Our tree has just 3 nodes: the root and two operands.
1311 // It is therefore trivial to get the APO. We only need to check the
1312 // opcode of VL[Lane] and whether the operand at OpIdx is the LHS or
1313 // RHS operand. The LHS operand of both add and sub is never attached
1314 // to an inversese operation in the linearized form, therefore its APO
1315 // is false. The RHS is true only if VL[Lane] is an inverse operation.
1316
1317 // Since operand reordering is performed on groups of commutative
1318 // operations or alternating sequences (e.g., +, -), we can safely
1319 // tell the inverse operations by checking commutativity.
1320 bool IsInverseOperation = !isCommutative(cast<Instruction>(VL[Lane]));
1321 bool APO = (OpIdx == 0) ? false : IsInverseOperation;
1322 OpsVec[OpIdx][Lane] = {cast<Instruction>(VL[Lane])->getOperand(OpIdx),
1323 APO, false};
1324 }
1325 }
1326 }
1327
1328 /// \returns the number of operands.
1329 unsigned getNumOperands() const { return OpsVec.size(); }
1330
1331 /// \returns the number of lanes.
1332 unsigned getNumLanes() const { return OpsVec[0].size(); }
1333
1334 /// \returns the operand value at \p OpIdx and \p Lane.
1335 Value *getValue(unsigned OpIdx, unsigned Lane) const {
1336 return getData(OpIdx, Lane).V;
1337 }
1338
1339 /// \returns true if the data structure is empty.
1340 bool empty() const { return OpsVec.empty(); }
1341
1342 /// Clears the data.
1343 void clear() { OpsVec.clear(); }
1344
1345 /// \Returns true if there are enough operands identical to \p Op to fill
1346 /// the whole vector.
1347 /// Note: This modifies the 'IsUsed' flag, so a cleanUsed() must follow.
1348 bool shouldBroadcast(Value *Op, unsigned OpIdx, unsigned Lane) {
1349 bool OpAPO = getData(OpIdx, Lane).APO;
1350 for (unsigned Ln = 0, Lns = getNumLanes(); Ln != Lns; ++Ln) {
1351 if (Ln == Lane)
1352 continue;
1353 // This is set to true if we found a candidate for broadcast at Lane.
1354 bool FoundCandidate = false;
1355 for (unsigned OpI = 0, OpE = getNumOperands(); OpI != OpE; ++OpI) {
1356 OperandData &Data = getData(OpI, Ln);
1357 if (Data.APO != OpAPO || Data.IsUsed)
1358 continue;
1359 if (Data.V == Op) {
1360 FoundCandidate = true;
1361 Data.IsUsed = true;
1362 break;
1363 }
1364 }
1365 if (!FoundCandidate)
1366 return false;
1367 }
1368 return true;
1369 }
1370
1371 public:
1372 /// Initialize with all the operands of the instruction vector \p RootVL.
1373 VLOperands(ArrayRef<Value *> RootVL, const DataLayout &DL,
1374 ScalarEvolution &SE, const BoUpSLP &R)
1375 : DL(DL), SE(SE), R(R) {
1376 // Append all the operands of RootVL.
1377 appendOperandsOfVL(RootVL);
1378 }
1379
1380 /// \Returns a value vector with the operands across all lanes for the
1381 /// opearnd at \p OpIdx.
1382 ValueList getVL(unsigned OpIdx) const {
1383 ValueList OpVL(OpsVec[OpIdx].size());
1384 assert(OpsVec[OpIdx].size() == getNumLanes() &&(static_cast<void> (0))
1385 "Expected same num of lanes across all operands")(static_cast<void> (0));
1386 for (unsigned Lane = 0, Lanes = getNumLanes(); Lane != Lanes; ++Lane)
1387 OpVL[Lane] = OpsVec[OpIdx][Lane].V;
1388 return OpVL;
1389 }
1390
1391 // Performs operand reordering for 2 or more operands.
1392 // The original operands are in OrigOps[OpIdx][Lane].
1393 // The reordered operands are returned in 'SortedOps[OpIdx][Lane]'.
1394 void reorder() {
1395 unsigned NumOperands = getNumOperands();
1396 unsigned NumLanes = getNumLanes();
1397 // Each operand has its own mode. We are using this mode to help us select
1398 // the instructions for each lane, so that they match best with the ones
1399 // we have selected so far.
1400 SmallVector<ReorderingMode, 2> ReorderingModes(NumOperands);
1401
1402 // This is a greedy single-pass algorithm. We are going over each lane
1403 // once and deciding on the best order right away with no back-tracking.
1404 // However, in order to increase its effectiveness, we start with the lane
1405 // that has operands that can move the least. For example, given the
1406 // following lanes:
1407 // Lane 0 : A[0] = B[0] + C[0] // Visited 3rd
1408 // Lane 1 : A[1] = C[1] - B[1] // Visited 1st
1409 // Lane 2 : A[2] = B[2] + C[2] // Visited 2nd
1410 // Lane 3 : A[3] = C[3] - B[3] // Visited 4th
1411 // we will start at Lane 1, since the operands of the subtraction cannot
1412 // be reordered. Then we will visit the rest of the lanes in a circular
1413 // fashion. That is, Lanes 2, then Lane 0, and finally Lane 3.
1414
1415 // Find the first lane that we will start our search from.
1416 unsigned FirstLane = getBestLaneToStartReordering();
1417
1418 // Initialize the modes.
1419 for (unsigned OpIdx = 0; OpIdx != NumOperands; ++OpIdx) {
1420 Value *OpLane0 = getValue(OpIdx, FirstLane);
1421 // Keep track if we have instructions with all the same opcode on one
1422 // side.
1423 if (isa<LoadInst>(OpLane0))
1424 ReorderingModes[OpIdx] = ReorderingMode::Load;
1425 else if (isa<Instruction>(OpLane0)) {
1426 // Check if OpLane0 should be broadcast.
1427 if (shouldBroadcast(OpLane0, OpIdx, FirstLane))
1428 ReorderingModes[OpIdx] = ReorderingMode::Splat;
1429 else
1430 ReorderingModes[OpIdx] = ReorderingMode::Opcode;
1431 }
1432 else if (isa<Constant>(OpLane0))
1433 ReorderingModes[OpIdx] = ReorderingMode::Constant;
1434 else if (isa<Argument>(OpLane0))
1435 // Our best hope is a Splat. It may save some cost in some cases.
1436 ReorderingModes[OpIdx] = ReorderingMode::Splat;
1437 else
1438 // NOTE: This should be unreachable.
1439 ReorderingModes[OpIdx] = ReorderingMode::Failed;
1440 }
1441
1442 // If the initial strategy fails for any of the operand indexes, then we
1443 // perform reordering again in a second pass. This helps avoid assigning
1444 // high priority to the failed strategy, and should improve reordering for
1445 // the non-failed operand indexes.
1446 for (int Pass = 0; Pass != 2; ++Pass) {
1447 // Skip the second pass if the first pass did not fail.
1448 bool StrategyFailed = false;
1449 // Mark all operand data as free to use.
1450 clearUsed();
1451 // We keep the original operand order for the FirstLane, so reorder the
1452 // rest of the lanes. We are visiting the nodes in a circular fashion,
1453 // using FirstLane as the center point and increasing the radius
1454 // distance.
1455 for (unsigned Distance = 1; Distance != NumLanes; ++Distance) {
1456 // Visit the lane on the right and then the lane on the left.
1457 for (int Direction : {+1, -1}) {
1458 int Lane = FirstLane + Direction * Distance;
1459 if (Lane < 0 || Lane >= (int)NumLanes)
1460 continue;
1461 int LastLane = Lane - Direction;
1462 assert(LastLane >= 0 && LastLane < (int)NumLanes &&(static_cast<void> (0))
1463 "Out of bounds")(static_cast<void> (0));
1464 // Look for a good match for each operand.
1465 for (unsigned OpIdx = 0; OpIdx != NumOperands; ++OpIdx) {
1466 // Search for the operand that matches SortedOps[OpIdx][Lane-1].
1467 Optional<unsigned> BestIdx =
1468 getBestOperand(OpIdx, Lane, LastLane, ReorderingModes);
1469 // By not selecting a value, we allow the operands that follow to
1470 // select a better matching value. We will get a non-null value in
1471 // the next run of getBestOperand().
1472 if (BestIdx) {
1473 // Swap the current operand with the one returned by
1474 // getBestOperand().
1475 swap(OpIdx, BestIdx.getValue(), Lane);
1476 } else {
1477 // We failed to find a best operand, set mode to 'Failed'.
1478 ReorderingModes[OpIdx] = ReorderingMode::Failed;
1479 // Enable the second pass.
1480 StrategyFailed = true;
1481 }
1482 }
1483 }
1484 }
1485 // Skip second pass if the strategy did not fail.
1486 if (!StrategyFailed)
1487 break;
1488 }
1489 }
1490
1491#if !defined(NDEBUG1) || defined(LLVM_ENABLE_DUMP)
1492 LLVM_DUMP_METHOD__attribute__((noinline)) __attribute__((__used__)) static StringRef getModeStr(ReorderingMode RMode) {
1493 switch (RMode) {
1494 case ReorderingMode::Load:
1495 return "Load";
1496 case ReorderingMode::Opcode:
1497 return "Opcode";
1498 case ReorderingMode::Constant:
1499 return "Constant";
1500 case ReorderingMode::Splat:
1501 return "Splat";
1502 case ReorderingMode::Failed:
1503 return "Failed";
1504 }
1505 llvm_unreachable("Unimplemented Reordering Type")__builtin_unreachable();
1506 }
1507
1508 LLVM_DUMP_METHOD__attribute__((noinline)) __attribute__((__used__)) static raw_ostream &printMode(ReorderingMode RMode,
1509 raw_ostream &OS) {
1510 return OS << getModeStr(RMode);
1511 }
1512
1513 /// Debug print.
1514 LLVM_DUMP_METHOD__attribute__((noinline)) __attribute__((__used__)) static void dumpMode(ReorderingMode RMode) {
1515 printMode(RMode, dbgs());
1516 }
1517
1518 friend raw_ostream &operator<<(raw_ostream &OS, ReorderingMode RMode) {
1519 return printMode(RMode, OS);
1520 }
1521
1522 LLVM_DUMP_METHOD__attribute__((noinline)) __attribute__((__used__)) raw_ostream &print(raw_ostream &OS) const {
1523 const unsigned Indent = 2;
1524 unsigned Cnt = 0;
1525 for (const OperandDataVec &OpDataVec : OpsVec) {
1526 OS << "Operand " << Cnt++ << "\n";
1527 for (const OperandData &OpData : OpDataVec) {
1528 OS.indent(Indent) << "{";
1529 if (Value *V = OpData.V)
1530 OS << *V;
1531 else
1532 OS << "null";
1533 OS << ", APO:" << OpData.APO << "}\n";
1534 }
1535 OS << "\n";
1536 }
1537 return OS;
1538 }
1539
1540 /// Debug print.
1541 LLVM_DUMP_METHOD__attribute__((noinline)) __attribute__((__used__)) void dump() const { print(dbgs()); }
1542#endif
1543 };
1544
1545 /// Checks if the instruction is marked for deletion.
1546 bool isDeleted(Instruction *I) const { return DeletedInstructions.count(I); }
1547
1548 /// Marks values operands for later deletion by replacing them with Undefs.
1549 void eraseInstructions(ArrayRef<Value *> AV);
1550
1551 ~BoUpSLP();
1552
1553private:
1554 /// Checks if all users of \p I are the part of the vectorization tree.
1555 bool areAllUsersVectorized(Instruction *I,
1556 ArrayRef<Value *> VectorizedVals) const;
1557
1558 /// \returns the cost of the vectorizable entry.
1559 InstructionCost getEntryCost(const TreeEntry *E,
1560 ArrayRef<Value *> VectorizedVals);
1561
1562 /// This is the recursive part of buildTree.
1563 void buildTree_rec(ArrayRef<Value *> Roots, unsigned Depth,
1564 const EdgeInfo &EI);
1565
1566 /// \returns true if the ExtractElement/ExtractValue instructions in \p VL can
1567 /// be vectorized to use the original vector (or aggregate "bitcast" to a
1568 /// vector) and sets \p CurrentOrder to the identity permutation; otherwise
1569 /// returns false, setting \p CurrentOrder to either an empty vector or a
1570 /// non-identity permutation that allows to reuse extract instructions.
1571 bool canReuseExtract(ArrayRef<Value *> VL, Value *OpValue,
1572 SmallVectorImpl<unsigned> &CurrentOrder) const;
1573
1574 /// Vectorize a single entry in the tree.
1575 Value *vectorizeTree(TreeEntry *E);
1576
1577 /// Vectorize a single entry in the tree, starting in \p VL.
1578 Value *vectorizeTree(ArrayRef<Value *> VL);
1579
1580 /// \returns the scalarization cost for this type. Scalarization in this
1581 /// context means the creation of vectors from a group of scalars.
1582 InstructionCost
1583 getGatherCost(FixedVectorType *Ty,
1584 const DenseSet<unsigned> &ShuffledIndices) const;
1585
1586 /// Checks if the gathered \p VL can be represented as shuffle(s) of previous
1587 /// tree entries.
1588 /// \returns ShuffleKind, if gathered values can be represented as shuffles of
1589 /// previous tree entries. \p Mask is filled with the shuffle mask.
1590 Optional<TargetTransformInfo::ShuffleKind>
1591 isGatherShuffledEntry(const TreeEntry *TE, SmallVectorImpl<int> &Mask,
1592 SmallVectorImpl<const TreeEntry *> &Entries);
1593
1594 /// \returns the scalarization cost for this list of values. Assuming that
1595 /// this subtree gets vectorized, we may need to extract the values from the
1596 /// roots. This method calculates the cost of extracting the values.
1597 InstructionCost getGatherCost(ArrayRef<Value *> VL) const;
1598
1599 /// Set the Builder insert point to one after the last instruction in
1600 /// the bundle
1601 void setInsertPointAfterBundle(const TreeEntry *E);
1602
1603 /// \returns a vector from a collection of scalars in \p VL.
1604 Value *gather(ArrayRef<Value *> VL);
1605
1606 /// \returns whether the VectorizableTree is fully vectorizable and will
1607 /// be beneficial even the tree height is tiny.
1608 bool isFullyVectorizableTinyTree() const;
1609
1610 /// Reorder commutative or alt operands to get better probability of
1611 /// generating vectorized code.
1612 static void reorderInputsAccordingToOpcode(ArrayRef<Value *> VL,
1613 SmallVectorImpl<Value *> &Left,
1614 SmallVectorImpl<Value *> &Right,
1615 const DataLayout &DL,
1616 ScalarEvolution &SE,
1617 const BoUpSLP &R);
1618 struct TreeEntry {
1619 using VecTreeTy = SmallVector<std::unique_ptr<TreeEntry>, 8>;
1620 TreeEntry(VecTreeTy &Container) : Container(Container) {}
1621
1622 /// \returns true if the scalars in VL are equal to this entry.
1623 bool isSame(ArrayRef<Value *> VL) const {
1624 if (VL.size() == Scalars.size())
1625 return std::equal(VL.begin(), VL.end(), Scalars.begin());
1626 return VL.size() == ReuseShuffleIndices.size() &&
1627 std::equal(
1628 VL.begin(), VL.end(), ReuseShuffleIndices.begin(),
1629 [this](Value *V, int Idx) { return V == Scalars[Idx]; });
1630 }
1631
1632 /// A vector of scalars.
1633 ValueList Scalars;
1634
1635 /// The Scalars are vectorized into this value. It is initialized to Null.
1636 Value *VectorizedValue = nullptr;
1637
1638 /// Do we need to gather this sequence or vectorize it
1639 /// (either with vector instruction or with scatter/gather
1640 /// intrinsics for store/load)?
1641 enum EntryState { Vectorize, ScatterVectorize, NeedToGather };
1642 EntryState State;
1643
1644 /// Does this sequence require some shuffling?
1645 SmallVector<int, 4> ReuseShuffleIndices;
1646
1647 /// Does this entry require reordering?
1648 SmallVector<unsigned, 4> ReorderIndices;
1649
1650 /// Points back to the VectorizableTree.
1651 ///
1652 /// Only used for Graphviz right now. Unfortunately GraphTrait::NodeRef has
1653 /// to be a pointer and needs to be able to initialize the child iterator.
1654 /// Thus we need a reference back to the container to translate the indices
1655 /// to entries.
1656 VecTreeTy &Container;
1657
1658 /// The TreeEntry index containing the user of this entry. We can actually
1659 /// have multiple users so the data structure is not truly a tree.
1660 SmallVector<EdgeInfo, 1> UserTreeIndices;
1661
1662 /// The index of this treeEntry in VectorizableTree.
1663 int Idx = -1;
1664
1665 private:
1666 /// The operands of each instruction in each lane Operands[op_index][lane].
1667 /// Note: This helps avoid the replication of the code that performs the
1668 /// reordering of operands during buildTree_rec() and vectorizeTree().
1669 SmallVector<ValueList, 2> Operands;
1670
1671 /// The main/alternate instruction.
1672 Instruction *MainOp = nullptr;
1673 Instruction *AltOp = nullptr;
1674
1675 public:
1676 /// Set this bundle's \p OpIdx'th operand to \p OpVL.
1677 void setOperand(unsigned OpIdx, ArrayRef<Value *> OpVL) {
1678 if (Operands.size() < OpIdx + 1)
1679 Operands.resize(OpIdx + 1);
1680 assert(Operands[OpIdx].empty() && "Already resized?")(static_cast<void> (0));
1681 Operands[OpIdx].resize(Scalars.size());
1682 for (unsigned Lane = 0, E = Scalars.size(); Lane != E; ++Lane)
1683 Operands[OpIdx][Lane] = OpVL[Lane];
1684 }
1685
1686 /// Set the operands of this bundle in their original order.
1687 void setOperandsInOrder() {
1688 assert(Operands.empty() && "Already initialized?")(static_cast<void> (0));
1689 auto *I0 = cast<Instruction>(Scalars[0]);
1690 Operands.resize(I0->getNumOperands());
1691 unsigned NumLanes = Scalars.size();
1692 for (unsigned OpIdx = 0, NumOperands = I0->getNumOperands();
1693 OpIdx != NumOperands; ++OpIdx) {
1694 Operands[OpIdx].resize(NumLanes);
1695 for (unsigned Lane = 0; Lane != NumLanes; ++Lane) {
1696 auto *I = cast<Instruction>(Scalars[Lane]);
1697 assert(I->getNumOperands() == NumOperands &&(static_cast<void> (0))
1698 "Expected same number of operands")(static_cast<void> (0));
1699 Operands[OpIdx][Lane] = I->getOperand(OpIdx);
1700 }
1701 }
1702 }
1703
1704 /// \returns the \p OpIdx operand of this TreeEntry.
1705 ValueList &getOperand(unsigned OpIdx) {
1706 assert(OpIdx < Operands.size() && "Off bounds")(static_cast<void> (0));
1707 return Operands[OpIdx];
1708 }
1709
1710 /// \returns the number of operands.
1711 unsigned getNumOperands() const { return Operands.size(); }
1712
1713 /// \return the single \p OpIdx operand.
1714 Value *getSingleOperand(unsigned OpIdx) const {
1715 assert(OpIdx < Operands.size() && "Off bounds")(static_cast<void> (0));
1716 assert(!Operands[OpIdx].empty() && "No operand available")(static_cast<void> (0));
1717 return Operands[OpIdx][0];
1718 }
1719
1720 /// Some of the instructions in the list have alternate opcodes.
1721 bool isAltShuffle() const {
1722 return getOpcode() != getAltOpcode();
1723 }
1724
1725 bool isOpcodeOrAlt(Instruction *I) const {
1726 unsigned CheckedOpcode = I->getOpcode();
1727 return (getOpcode() == CheckedOpcode ||
1728 getAltOpcode() == CheckedOpcode);
1729 }
1730
1731 /// Chooses the correct key for scheduling data. If \p Op has the same (or
1732 /// alternate) opcode as \p OpValue, the key is \p Op. Otherwise the key is
1733 /// \p OpValue.
1734 Value *isOneOf(Value *Op) const {
1735 auto *I = dyn_cast<Instruction>(Op);
1736 if (I && isOpcodeOrAlt(I))
1737 return Op;
1738 return MainOp;
1739 }
1740
1741 void setOperations(const InstructionsState &S) {
1742 MainOp = S.MainOp;
1743 AltOp = S.AltOp;
1744 }
1745
1746 Instruction *getMainOp() const {
1747 return MainOp;
1748 }
1749
1750 Instruction *getAltOp() const {
1751 return AltOp;
1752 }
1753
1754 /// The main/alternate opcodes for the list of instructions.
1755 unsigned getOpcode() const {
1756 return MainOp ? MainOp->getOpcode() : 0;
1757 }
1758
1759 unsigned getAltOpcode() const {
1760 return AltOp ? AltOp->getOpcode() : 0;
1761 }
1762
1763 /// Update operations state of this entry if reorder occurred.
1764 bool updateStateIfReorder() {
1765 if (ReorderIndices.empty())
1766 return false;
1767 InstructionsState S = getSameOpcode(Scalars, ReorderIndices.front());
1768 setOperations(S);
1769 return true;
1770 }
1771 /// When ReuseShuffleIndices is empty it just returns position of \p V
1772 /// within vector of Scalars. Otherwise, try to remap on its reuse index.
1773 int findLaneForValue(Value *V) const {
1774 unsigned FoundLane = std::distance(Scalars.begin(), find(Scalars, V));
1775 assert(FoundLane < Scalars.size() && "Couldn't find extract lane")(static_cast<void> (0));
1776 if (!ReuseShuffleIndices.empty()) {
1777 FoundLane = std::distance(ReuseShuffleIndices.begin(),
1778 find(ReuseShuffleIndices, FoundLane));
1779 }
1780 return FoundLane;
1781 }
1782
1783#ifndef NDEBUG1
1784 /// Debug printer.
1785 LLVM_DUMP_METHOD__attribute__((noinline)) __attribute__((__used__)) void dump() const {
1786 dbgs() << Idx << ".\n";
1787 for (unsigned OpI = 0, OpE = Operands.size(); OpI != OpE; ++OpI) {
1788 dbgs() << "Operand " << OpI << ":\n";
1789 for (const Value *V : Operands[OpI])
1790 dbgs().indent(2) << *V << "\n";
1791 }
1792 dbgs() << "Scalars: \n";
1793 for (Value *V : Scalars)
1794 dbgs().indent(2) << *V << "\n";
1795 dbgs() << "State: ";
1796 switch (State) {
1797 case Vectorize:
1798 dbgs() << "Vectorize\n";
1799 break;
1800 case ScatterVectorize:
1801 dbgs() << "ScatterVectorize\n";
1802 break;
1803 case NeedToGather:
1804 dbgs() << "NeedToGather\n";
1805 break;
1806 }
1807 dbgs() << "MainOp: ";
1808 if (MainOp)
1809 dbgs() << *MainOp << "\n";
1810 else
1811 dbgs() << "NULL\n";
1812 dbgs() << "AltOp: ";
1813 if (AltOp)
1814 dbgs() << *AltOp << "\n";
1815 else
1816 dbgs() << "NULL\n";
1817 dbgs() << "VectorizedValue: ";
1818 if (VectorizedValue)
1819 dbgs() << *VectorizedValue << "\n";
1820 else
1821 dbgs() << "NULL\n";
1822 dbgs() << "ReuseShuffleIndices: ";
1823 if (ReuseShuffleIndices.empty())
1824 dbgs() << "Empty";
1825 else
1826 for (unsigned ReuseIdx : ReuseShuffleIndices)
1827 dbgs() << ReuseIdx << ", ";
1828 dbgs() << "\n";
1829 dbgs() << "ReorderIndices: ";
1830 for (unsigned ReorderIdx : ReorderIndices)
1831 dbgs() << ReorderIdx << ", ";
1832 dbgs() << "\n";
1833 dbgs() << "UserTreeIndices: ";
1834 for (const auto &EInfo : UserTreeIndices)
1835 dbgs() << EInfo << ", ";
1836 dbgs() << "\n";
1837 }
1838#endif
1839 };
1840
1841#ifndef NDEBUG1
1842 void dumpTreeCosts(const TreeEntry *E, InstructionCost ReuseShuffleCost,
1843 InstructionCost VecCost,
1844 InstructionCost ScalarCost) const {
1845 dbgs() << "SLP: Calculated costs for Tree:\n"; E->dump();
1846 dbgs() << "SLP: Costs:\n";
1847 dbgs() << "SLP: ReuseShuffleCost = " << ReuseShuffleCost << "\n";
1848 dbgs() << "SLP: VectorCost = " << VecCost << "\n";
1849 dbgs() << "SLP: ScalarCost = " << ScalarCost << "\n";
1850 dbgs() << "SLP: ReuseShuffleCost + VecCost - ScalarCost = " <<
1851 ReuseShuffleCost + VecCost - ScalarCost << "\n";
1852 }
1853#endif
1854
1855 /// Create a new VectorizableTree entry.
1856 TreeEntry *newTreeEntry(ArrayRef<Value *> VL, Optional<ScheduleData *> Bundle,
1857 const InstructionsState &S,
1858 const EdgeInfo &UserTreeIdx,
1859 ArrayRef<unsigned> ReuseShuffleIndices = None,
1860 ArrayRef<unsigned> ReorderIndices = None) {
1861 TreeEntry::EntryState EntryState =
1862 Bundle ? TreeEntry::Vectorize : TreeEntry::NeedToGather;
1863 return newTreeEntry(VL, EntryState, Bundle, S, UserTreeIdx,
1864 ReuseShuffleIndices, ReorderIndices);
1865 }
1866
1867 TreeEntry *newTreeEntry(ArrayRef<Value *> VL,
1868 TreeEntry::EntryState EntryState,
1869 Optional<ScheduleData *> Bundle,
1870 const InstructionsState &S,
1871 const EdgeInfo &UserTreeIdx,
1872 ArrayRef<unsigned> ReuseShuffleIndices = None,
1873 ArrayRef<unsigned> ReorderIndices = None) {
1874 assert(((!Bundle && EntryState == TreeEntry::NeedToGather) ||(static_cast<void> (0))
1875 (Bundle && EntryState != TreeEntry::NeedToGather)) &&(static_cast<void> (0))
1876 "Need to vectorize gather entry?")(static_cast<void> (0));
1877 VectorizableTree.push_back(std::make_unique<TreeEntry>(VectorizableTree));
1878 TreeEntry *Last = VectorizableTree.back().get();
1879 Last->Idx = VectorizableTree.size() - 1;
1880 Last->Scalars.insert(Last->Scalars.begin(), VL.begin(), VL.end());
1881 Last->State = EntryState;
1882 Last->ReuseShuffleIndices.append(ReuseShuffleIndices.begin(),
1883 ReuseShuffleIndices.end());
1884 Last->ReorderIndices.append(ReorderIndices.begin(), ReorderIndices.end());
1885 Last->setOperations(S);
1886 if (Last->State != TreeEntry::NeedToGather) {
1887 for (Value *V : VL) {
1888 assert(!getTreeEntry(V) && "Scalar already in tree!")(static_cast<void> (0));
1889 ScalarToTreeEntry[V] = Last;
1890 }
1891 // Update the scheduler bundle to point to this TreeEntry.
1892 unsigned Lane = 0;
1893 for (ScheduleData *BundleMember = Bundle.getValue(); BundleMember;
1894 BundleMember = BundleMember->NextInBundle) {
1895 BundleMember->TE = Last;
1896 BundleMember->Lane = Lane;
1897 ++Lane;
1898 }
1899 assert((!Bundle.getValue() || Lane == VL.size()) &&(static_cast<void> (0))
1900 "Bundle and VL out of sync")(static_cast<void> (0));
1901 } else {
1902 MustGather.insert(VL.begin(), VL.end());
1903 }
1904
1905 if (UserTreeIdx.UserTE)
1906 Last->UserTreeIndices.push_back(UserTreeIdx);
1907
1908 return Last;
1909 }
1910
1911 /// -- Vectorization State --
1912 /// Holds all of the tree entries.
1913 TreeEntry::VecTreeTy VectorizableTree;
1914
1915#ifndef NDEBUG1
1916 /// Debug printer.
1917 LLVM_DUMP_METHOD__attribute__((noinline)) __attribute__((__used__)) void dumpVectorizableTree() const {
1918 for (unsigned Id = 0, IdE = VectorizableTree.size(); Id != IdE; ++Id) {
1919 VectorizableTree[Id]->dump();
1920 dbgs() << "\n";
1921 }
1922 }
1923#endif
1924
1925 TreeEntry *getTreeEntry(Value *V) { return ScalarToTreeEntry.lookup(V); }
1926
1927 const TreeEntry *getTreeEntry(Value *V) const {
1928 return ScalarToTreeEntry.lookup(V);
1929 }
1930
1931 /// Maps a specific scalar to its tree entry.
1932 SmallDenseMap<Value*, TreeEntry *> ScalarToTreeEntry;
1933
1934 /// Maps a value to the proposed vectorizable size.
1935 SmallDenseMap<Value *, unsigned> InstrElementSize;
1936
1937 /// A list of scalars that we found that we need to keep as scalars.
1938 ValueSet MustGather;
1939
1940 /// This POD struct describes one external user in the vectorized tree.
1941 struct ExternalUser {
1942 ExternalUser(Value *S, llvm::User *U, int L)
1943 : Scalar(S), User(U), Lane(L) {}
1944
1945 // Which scalar in our function.
1946 Value *Scalar;
1947
1948 // Which user that uses the scalar.
1949 llvm::User *User;
1950
1951 // Which lane does the scalar belong to.
1952 int Lane;
1953 };
1954 using UserList = SmallVector<ExternalUser, 16>;
1955
1956 /// Checks if two instructions may access the same memory.
1957 ///
1958 /// \p Loc1 is the location of \p Inst1. It is passed explicitly because it
1959 /// is invariant in the calling loop.
1960 bool isAliased(const MemoryLocation &Loc1, Instruction *Inst1,
1961 Instruction *Inst2) {
1962 // First check if the result is already in the cache.
1963 AliasCacheKey key = std::make_pair(Inst1, Inst2);
1964 Optional<bool> &result = AliasCache[key];
1965 if (result.hasValue()) {
1966 return result.getValue();
1967 }
1968 bool aliased = true;
1969 if (Loc1.Ptr && isSimple(Inst1))
1970 aliased = isModOrRefSet(AA->getModRefInfo(Inst2, Loc1));
1971 // Store the result in the cache.
1972 result = aliased;
1973 return aliased;
1974 }
1975
1976 using AliasCacheKey = std::pair<Instruction *, Instruction *>;
1977
1978 /// Cache for alias results.
1979 /// TODO: consider moving this to the AliasAnalysis itself.
1980 DenseMap<AliasCacheKey, Optional<bool>> AliasCache;
1981
1982 /// Removes an instruction from its block and eventually deletes it.
1983 /// It's like Instruction::eraseFromParent() except that the actual deletion
1984 /// is delayed until BoUpSLP is destructed.
1985 /// This is required to ensure that there are no incorrect collisions in the
1986 /// AliasCache, which can happen if a new instruction is allocated at the
1987 /// same address as a previously deleted instruction.
1988 void eraseInstruction(Instruction *I, bool ReplaceOpsWithUndef = false) {
1989 auto It = DeletedInstructions.try_emplace(I, ReplaceOpsWithUndef).first;
1990 It->getSecond() = It->getSecond() && ReplaceOpsWithUndef;
1991 }
1992
1993 /// Temporary store for deleted instructions. Instructions will be deleted
1994 /// eventually when the BoUpSLP is destructed.
1995 DenseMap<Instruction *, bool> DeletedInstructions;
1996
1997 /// A list of values that need to extracted out of the tree.
1998 /// This list holds pairs of (Internal Scalar : External User). External User
1999 /// can be nullptr, it means that this Internal Scalar will be used later,
2000 /// after vectorization.
2001 UserList ExternalUses;
2002
2003 /// Values used only by @llvm.assume calls.
2004 SmallPtrSet<const Value *, 32> EphValues;
2005
2006 /// Holds all of the instructions that we gathered.
2007 SetVector<Instruction *> GatherSeq;
2008
2009 /// A list of blocks that we are going to CSE.
2010 SetVector<BasicBlock *> CSEBlocks;
2011
2012 /// Contains all scheduling relevant data for an instruction.
2013 /// A ScheduleData either represents a single instruction or a member of an
2014 /// instruction bundle (= a group of instructions which is combined into a
2015 /// vector instruction).
2016 struct ScheduleData {
2017 // The initial value for the dependency counters. It means that the
2018 // dependencies are not calculated yet.
2019 enum { InvalidDeps = -1 };
2020
2021 ScheduleData() = default;
2022
2023 void init(int BlockSchedulingRegionID, Value *OpVal) {
2024 FirstInBundle = this;
2025 NextInBundle = nullptr;
2026 NextLoadStore = nullptr;
2027 IsScheduled = false;
2028 SchedulingRegionID = BlockSchedulingRegionID;
2029 UnscheduledDepsInBundle = UnscheduledDeps;
2030 clearDependencies();
2031 OpValue = OpVal;
2032 TE = nullptr;
2033 Lane = -1;
2034 }
2035
2036 /// Returns true if the dependency information has been calculated.
2037 bool hasValidDependencies() const { return Dependencies != InvalidDeps; }
2038
2039 /// Returns true for single instructions and for bundle representatives
2040 /// (= the head of a bundle).
2041 bool isSchedulingEntity() const { return FirstInBundle == this; }
2042
2043 /// Returns true if it represents an instruction bundle and not only a
2044 /// single instruction.
2045 bool isPartOfBundle() const {
2046 return NextInBundle != nullptr || FirstInBundle != this;
2047 }
2048
2049 /// Returns true if it is ready for scheduling, i.e. it has no more
2050 /// unscheduled depending instructions/bundles.
2051 bool isReady() const {
2052 assert(isSchedulingEntity() &&(static_cast<void> (0))
2053 "can't consider non-scheduling entity for ready list")(static_cast<void> (0));
2054 return UnscheduledDepsInBundle == 0 && !IsScheduled;
2055 }
2056
2057 /// Modifies the number of unscheduled dependencies, also updating it for
2058 /// the whole bundle.
2059 int incrementUnscheduledDeps(int Incr) {
2060 UnscheduledDeps += Incr;
2061 return FirstInBundle->UnscheduledDepsInBundle += Incr;
2062 }
2063
2064 /// Sets the number of unscheduled dependencies to the number of
2065 /// dependencies.
2066 void resetUnscheduledDeps() {
2067 incrementUnscheduledDeps(Dependencies - UnscheduledDeps);
2068 }
2069
2070 /// Clears all dependency information.
2071 void clearDependencies() {
2072 Dependencies = InvalidDeps;
2073 resetUnscheduledDeps();
2074 MemoryDependencies.clear();
2075 }
2076
2077 void dump(raw_ostream &os) const {
2078 if (!isSchedulingEntity()) {
2079 os << "/ " << *Inst;
2080 } else if (NextInBundle) {
2081 os << '[' << *Inst;
2082 ScheduleData *SD = NextInBundle;
2083 while (SD) {
2084 os << ';' << *SD->Inst;
2085 SD = SD->NextInBundle;
2086 }
2087 os << ']';
2088 } else {
2089 os << *Inst;
2090 }
2091 }
2092
2093 Instruction *Inst = nullptr;
2094
2095 /// Points to the head in an instruction bundle (and always to this for
2096 /// single instructions).
2097 ScheduleData *FirstInBundle = nullptr;
2098
2099 /// Single linked list of all instructions in a bundle. Null if it is a
2100 /// single instruction.
2101 ScheduleData *NextInBundle = nullptr;
2102
2103 /// Single linked list of all memory instructions (e.g. load, store, call)
2104 /// in the block - until the end of the scheduling region.
2105 ScheduleData *NextLoadStore = nullptr;
2106
2107 /// The dependent memory instructions.
2108 /// This list is derived on demand in calculateDependencies().
2109 SmallVector<ScheduleData *, 4> MemoryDependencies;
2110
2111 /// This ScheduleData is in the current scheduling region if this matches
2112 /// the current SchedulingRegionID of BlockScheduling.
2113 int SchedulingRegionID = 0;
2114
2115 /// Used for getting a "good" final ordering of instructions.
2116 int SchedulingPriority = 0;
2117
2118 /// The number of dependencies. Constitutes of the number of users of the
2119 /// instruction plus the number of dependent memory instructions (if any).
2120 /// This value is calculated on demand.
2121 /// If InvalidDeps, the number of dependencies is not calculated yet.
2122 int Dependencies = InvalidDeps;
2123
2124 /// The number of dependencies minus the number of dependencies of scheduled
2125 /// instructions. As soon as this is zero, the instruction/bundle gets ready
2126 /// for scheduling.
2127 /// Note that this is negative as long as Dependencies is not calculated.
2128 int UnscheduledDeps = InvalidDeps;
2129
2130 /// The sum of UnscheduledDeps in a bundle. Equals to UnscheduledDeps for
2131 /// single instructions.
2132 int UnscheduledDepsInBundle = InvalidDeps;
2133
2134 /// True if this instruction is scheduled (or considered as scheduled in the
2135 /// dry-run).
2136 bool IsScheduled = false;
2137
2138 /// Opcode of the current instruction in the schedule data.
2139 Value *OpValue = nullptr;
2140
2141 /// The TreeEntry that this instruction corresponds to.
2142 TreeEntry *TE = nullptr;
2143
2144 /// The lane of this node in the TreeEntry.
2145 int Lane = -1;
2146 };
2147
2148#ifndef NDEBUG1
2149 friend inline raw_ostream &operator<<(raw_ostream &os,
2150 const BoUpSLP::ScheduleData &SD) {
2151 SD.dump(os);
2152 return os;
2153 }
2154#endif
2155
2156 friend struct GraphTraits<BoUpSLP *>;
2157 friend struct DOTGraphTraits<BoUpSLP *>;
2158
2159 /// Contains all scheduling data for a basic block.
2160 struct BlockScheduling {
2161 BlockScheduling(BasicBlock *BB)
2162 : BB(BB), ChunkSize(BB->size()), ChunkPos(ChunkSize) {}
2163
2164 void clear() {
2165 ReadyInsts.clear();
2166 ScheduleStart = nullptr;
2167 ScheduleEnd = nullptr;
2168 FirstLoadStoreInRegion = nullptr;
2169 LastLoadStoreInRegion = nullptr;
2170
2171 // Reduce the maximum schedule region size by the size of the
2172 // previous scheduling run.
2173 ScheduleRegionSizeLimit -= ScheduleRegionSize;
2174 if (ScheduleRegionSizeLimit < MinScheduleRegionSize)
2175 ScheduleRegionSizeLimit = MinScheduleRegionSize;
2176 ScheduleRegionSize = 0;
2177
2178 // Make a new scheduling region, i.e. all existing ScheduleData is not
2179 // in the new region yet.
2180 ++SchedulingRegionID;
2181 }
2182
2183 ScheduleData *getScheduleData(Value *V) {
2184 ScheduleData *SD = ScheduleDataMap[V];
15
Value assigned to field 'ScheduleStart', which participates in a condition later
2185 if (SD && SD->SchedulingRegionID == SchedulingRegionID)
5
Assuming 'SD' is null
16
Assuming 'SD' is null
2186 return SD;
2187 return nullptr;
6
Returning null pointer, which participates in a condition later
17
Returning null pointer, which participates in a condition later
2188 }
2189
2190 ScheduleData *getScheduleData(Value *V, Value *Key) {
2191 if (V == Key)
2
Assuming 'V' is equal to 'Key'
3
Taking true branch
2192 return getScheduleData(V);
4
Calling 'BlockScheduling::getScheduleData'
7
Returning from 'BlockScheduling::getScheduleData'
8
Returning null pointer, which participates in a condition later
2193 auto I = ExtraScheduleDataMap.find(V);
2194 if (I != ExtraScheduleDataMap.end()) {
2195 ScheduleData *SD = I->second[Key];
2196 if (SD && SD->SchedulingRegionID == SchedulingRegionID)
2197 return SD;
2198 }
2199 return nullptr;
2200 }
2201
2202 bool isInSchedulingRegion(ScheduleData *SD) const {
2203 return SD->SchedulingRegionID == SchedulingRegionID;
2204 }
2205
2206 /// Marks an instruction as scheduled and puts all dependent ready
2207 /// instructions into the ready-list.
2208 template <typename ReadyListType>
2209 void schedule(ScheduleData *SD, ReadyListType &ReadyList) {
2210 SD->IsScheduled = true;
2211 LLVM_DEBUG(dbgs() << "SLP: schedule " << *SD << "\n")do { } while (false);
2212
2213 ScheduleData *BundleMember = SD;
2214 while (BundleMember) {
2215 if (BundleMember->Inst != BundleMember->OpValue) {
2216 BundleMember = BundleMember->NextInBundle;
2217 continue;
2218 }
2219 // Handle the def-use chain dependencies.
2220
2221 // Decrement the unscheduled counter and insert to ready list if ready.
2222 auto &&DecrUnsched = [this, &ReadyList](Instruction *I) {
2223 doForAllOpcodes(I, [&ReadyList](ScheduleData *OpDef) {
2224 if (OpDef && OpDef->hasValidDependencies() &&
2225 OpDef->incrementUnscheduledDeps(-1) == 0) {
2226 // There are no more unscheduled dependencies after
2227 // decrementing, so we can put the dependent instruction
2228 // into the ready list.
2229 ScheduleData *DepBundle = OpDef->FirstInBundle;
2230 assert(!DepBundle->IsScheduled &&(static_cast<void> (0))
2231 "already scheduled bundle gets ready")(static_cast<void> (0));
2232 ReadyList.insert(DepBundle);
2233 LLVM_DEBUG(dbgs()do { } while (false)
2234 << "SLP: gets ready (def): " << *DepBundle << "\n")do { } while (false);
2235 }
2236 });
2237 };
2238
2239 // If BundleMember is a vector bundle, its operands may have been
2240 // reordered duiring buildTree(). We therefore need to get its operands
2241 // through the TreeEntry.
2242 if (TreeEntry *TE = BundleMember->TE) {
2243 int Lane = BundleMember->Lane;
2244 assert(Lane >= 0 && "Lane not set")(static_cast<void> (0));
2245
2246 // Since vectorization tree is being built recursively this assertion
2247 // ensures that the tree entry has all operands set before reaching
2248 // this code. Couple of exceptions known at the moment are extracts
2249 // where their second (immediate) operand is not added. Since
2250 // immediates do not affect scheduler behavior this is considered
2251 // okay.
2252 auto *In = TE->getMainOp();
2253 assert(In &&(static_cast<void> (0))
2254 (isa<ExtractValueInst>(In) || isa<ExtractElementInst>(In) ||(static_cast<void> (0))
2255 In->getNumOperands() == TE->getNumOperands()) &&(static_cast<void> (0))
2256 "Missed TreeEntry operands?")(static_cast<void> (0));
2257 (void)In; // fake use to avoid build failure when assertions disabled
2258
2259 for (unsigned OpIdx = 0, NumOperands = TE->getNumOperands();
2260 OpIdx != NumOperands; ++OpIdx)
2261 if (auto *I = dyn_cast<Instruction>(TE->getOperand(OpIdx)[Lane]))
2262 DecrUnsched(I);
2263 } else {
2264 // If BundleMember is a stand-alone instruction, no operand reordering
2265 // has taken place, so we directly access its operands.
2266 for (Use &U : BundleMember->Inst->operands())
2267 if (auto *I = dyn_cast<Instruction>(U.get()))
2268 DecrUnsched(I);
2269 }
2270 // Handle the memory dependencies.
2271 for (ScheduleData *MemoryDepSD : BundleMember->MemoryDependencies) {
2272 if (MemoryDepSD->incrementUnscheduledDeps(-1) == 0) {
2273 // There are no more unscheduled dependencies after decrementing,
2274 // so we can put the dependent instruction into the ready list.
2275 ScheduleData *DepBundle = MemoryDepSD->FirstInBundle;
2276 assert(!DepBundle->IsScheduled &&(static_cast<void> (0))
2277 "already scheduled bundle gets ready")(static_cast<void> (0));
2278 ReadyList.insert(DepBundle);
2279 LLVM_DEBUG(dbgs()do { } while (false)
2280 << "SLP: gets ready (mem): " << *DepBundle << "\n")do { } while (false);
2281 }
2282 }
2283 BundleMember = BundleMember->NextInBundle;
2284 }
2285 }
2286
2287 void doForAllOpcodes(Value *V,
2288 function_ref<void(ScheduleData *SD)> Action) {
2289 if (ScheduleData *SD = getScheduleData(V))
2290 Action(SD);
2291 auto I = ExtraScheduleDataMap.find(V);
2292 if (I != ExtraScheduleDataMap.end())
2293 for (auto &P : I->second)
2294 if (P.second->SchedulingRegionID == SchedulingRegionID)
2295 Action(P.second);
2296 }
2297
2298 /// Put all instructions into the ReadyList which are ready for scheduling.
2299 template <typename ReadyListType>
2300 void initialFillReadyList(ReadyListType &ReadyList) {
2301 for (auto *I = ScheduleStart; I != ScheduleEnd; I = I->getNextNode()) {
2302 doForAllOpcodes(I, [&](ScheduleData *SD) {
2303 if (SD->isSchedulingEntity() && SD->isReady()) {
2304 ReadyList.insert(SD);
2305 LLVM_DEBUG(dbgs()do { } while (false)
2306 << "SLP: initially in ready list: " << *I << "\n")do { } while (false);
2307 }
2308 });
2309 }
2310 }
2311
2312 /// Checks if a bundle of instructions can be scheduled, i.e. has no
2313 /// cyclic dependencies. This is only a dry-run, no instructions are
2314 /// actually moved at this stage.
2315 /// \returns the scheduling bundle. The returned Optional value is non-None
2316 /// if \p VL is allowed to be scheduled.
2317 Optional<ScheduleData *>
2318 tryScheduleBundle(ArrayRef<Value *> VL, BoUpSLP *SLP,
2319 const InstructionsState &S);
2320
2321 /// Un-bundles a group of instructions.
2322 void cancelScheduling(ArrayRef<Value *> VL, Value *OpValue);
2323
2324 /// Allocates schedule data chunk.
2325 ScheduleData *allocateScheduleDataChunks();
2326
2327 /// Extends the scheduling region so that V is inside the region.
2328 /// \returns true if the region size is within the limit.
2329 bool extendSchedulingRegion(Value *V, const InstructionsState &S);
2330
2331 /// Initialize the ScheduleData structures for new instructions in the
2332 /// scheduling region.
2333 void initScheduleData(Instruction *FromI, Instruction *ToI,
2334 ScheduleData *PrevLoadStore,
2335 ScheduleData *NextLoadStore);
2336
2337 /// Updates the dependency information of a bundle and of all instructions/
2338 /// bundles which depend on the original bundle.
2339 void calculateDependencies(ScheduleData *SD, bool InsertInReadyList,
2340 BoUpSLP *SLP);
2341
2342 /// Sets all instruction in the scheduling region to un-scheduled.
2343 void resetSchedule();
2344
2345 BasicBlock *BB;
2346
2347 /// Simple memory allocation for ScheduleData.
2348 std::vector<std::unique_ptr<ScheduleData[]>> ScheduleDataChunks;
2349
2350 /// The size of a ScheduleData array in ScheduleDataChunks.
2351 int ChunkSize;
2352
2353 /// The allocator position in the current chunk, which is the last entry
2354 /// of ScheduleDataChunks.
2355 int ChunkPos;
2356
2357 /// Attaches ScheduleData to Instruction.
2358 /// Note that the mapping survives during all vectorization iterations, i.e.
2359 /// ScheduleData structures are recycled.
2360 DenseMap<Value *, ScheduleData *> ScheduleDataMap;
2361
2362 /// Attaches ScheduleData to Instruction with the leading key.
2363 DenseMap<Value *, SmallDenseMap<Value *, ScheduleData *>>
2364 ExtraScheduleDataMap;
2365
2366 struct ReadyList : SmallVector<ScheduleData *, 8> {
2367 void insert(ScheduleData *SD) { push_back(SD); }
2368 };
2369
2370 /// The ready-list for scheduling (only used for the dry-run).
2371 ReadyList ReadyInsts;
2372
2373 /// The first instruction of the scheduling region.
2374 Instruction *ScheduleStart = nullptr;
2375
2376 /// The first instruction _after_ the scheduling region.
2377 Instruction *ScheduleEnd = nullptr;
2378
2379 /// The first memory accessing instruction in the scheduling region
2380 /// (can be null).
2381 ScheduleData *FirstLoadStoreInRegion = nullptr;
2382
2383 /// The last memory accessing instruction in the scheduling region
2384 /// (can be null).
2385 ScheduleData *LastLoadStoreInRegion = nullptr;
2386
2387 /// The current size of the scheduling region.
2388 int ScheduleRegionSize = 0;
2389
2390 /// The maximum size allowed for the scheduling region.
2391 int ScheduleRegionSizeLimit = ScheduleRegionSizeBudget;
2392
2393 /// The ID of the scheduling region. For a new vectorization iteration this
2394 /// is incremented which "removes" all ScheduleData from the region.
2395 // Make sure that the initial SchedulingRegionID is greater than the
2396 // initial SchedulingRegionID in ScheduleData (which is 0).
2397 int SchedulingRegionID = 1;
2398 };
2399
2400 /// Attaches the BlockScheduling structures to basic blocks.
2401 MapVector<BasicBlock *, std::unique_ptr<BlockScheduling>> BlocksSchedules;
2402
2403 /// Performs the "real" scheduling. Done before vectorization is actually
2404 /// performed in a basic block.
2405 void scheduleBlock(BlockScheduling *BS);
2406
2407 /// List of users to ignore during scheduling and that don't need extracting.
2408 ArrayRef<Value *> UserIgnoreList;
2409
2410 /// A DenseMapInfo implementation for holding DenseMaps and DenseSets of
2411 /// sorted SmallVectors of unsigned.
2412 struct OrdersTypeDenseMapInfo {
2413 static OrdersType getEmptyKey() {
2414 OrdersType V;
2415 V.push_back(~1U);
2416 return V;
2417 }
2418
2419 static OrdersType getTombstoneKey() {
2420 OrdersType V;
2421 V.push_back(~2U);
2422 return V;
2423 }
2424
2425 static unsigned getHashValue(const OrdersType &V) {
2426 return static_cast<unsigned>(hash_combine_range(V.begin(), V.end()));
2427 }
2428
2429 static bool isEqual(const OrdersType &LHS, const OrdersType &RHS) {
2430 return LHS == RHS;
2431 }
2432 };
2433
2434 /// Contains orders of operations along with the number of bundles that have
2435 /// operations in this order. It stores only those orders that require
2436 /// reordering, if reordering is not required it is counted using \a
2437 /// NumOpsWantToKeepOriginalOrder.
2438 DenseMap<OrdersType, unsigned, OrdersTypeDenseMapInfo> NumOpsWantToKeepOrder;
2439 /// Number of bundles that do not require reordering.
2440 unsigned NumOpsWantToKeepOriginalOrder = 0;
2441
2442 // Analysis and block reference.
2443 Function *F;
2444 ScalarEvolution *SE;
2445 TargetTransformInfo *TTI;
2446 TargetLibraryInfo *TLI;
2447 AAResults *AA;
2448 LoopInfo *LI;
2449 DominatorTree *DT;
2450 AssumptionCache *AC;
2451 DemandedBits *DB;
2452 const DataLayout *DL;
2453 OptimizationRemarkEmitter *ORE;
2454
2455 unsigned MaxVecRegSize; // This is set by TTI or overridden by cl::opt.
2456 unsigned MinVecRegSize; // Set by cl::opt (default: 128).
2457
2458 /// Instruction builder to construct the vectorized tree.
2459 IRBuilder<> Builder;
2460
2461 /// A map of scalar integer values to the smallest bit width with which they
2462 /// can legally be represented. The values map to (width, signed) pairs,
2463 /// where "width" indicates the minimum bit width and "signed" is True if the
2464 /// value must be signed-extended, rather than zero-extended, back to its
2465 /// original width.
2466 MapVector<Value *, std::pair<uint64_t, bool>> MinBWs;
2467};
2468
2469} // end namespace slpvectorizer
2470
2471template <> struct GraphTraits<BoUpSLP *> {
2472 using TreeEntry = BoUpSLP::TreeEntry;
2473
2474 /// NodeRef has to be a pointer per the GraphWriter.
2475 using NodeRef = TreeEntry *;
2476
2477 using ContainerTy = BoUpSLP::TreeEntry::VecTreeTy;
2478
2479 /// Add the VectorizableTree to the index iterator to be able to return
2480 /// TreeEntry pointers.
2481 struct ChildIteratorType
2482 : public iterator_adaptor_base<
2483 ChildIteratorType, SmallVector<BoUpSLP::EdgeInfo, 1>::iterator> {
2484 ContainerTy &VectorizableTree;
2485
2486 ChildIteratorType(SmallVector<BoUpSLP::EdgeInfo, 1>::iterator W,
2487 ContainerTy &VT)
2488 : ChildIteratorType::iterator_adaptor_base(W), VectorizableTree(VT) {}
2489
2490 NodeRef operator*() { return I->UserTE; }
2491 };
2492
2493 static NodeRef getEntryNode(BoUpSLP &R) {
2494 return R.VectorizableTree[0].get();
2495 }
2496
2497 static ChildIteratorType child_begin(NodeRef N) {
2498 return {N->UserTreeIndices.begin(), N->Container};
2499 }
2500
2501 static ChildIteratorType child_end(NodeRef N) {
2502 return {N->UserTreeIndices.end(), N->Container};
2503 }
2504
2505 /// For the node iterator we just need to turn the TreeEntry iterator into a
2506 /// TreeEntry* iterator so that it dereferences to NodeRef.
2507 class nodes_iterator {
2508 using ItTy = ContainerTy::iterator;
2509 ItTy It;
2510
2511 public:
2512 nodes_iterator(const ItTy &It2) : It(It2) {}
2513 NodeRef operator*() { return It->get(); }
2514 nodes_iterator operator++() {
2515 ++It;
2516 return *this;
2517 }
2518 bool operator!=(const nodes_iterator &N2) const { return N2.It != It; }
2519 };
2520
2521 static nodes_iterator nodes_begin(BoUpSLP *R) {
2522 return nodes_iterator(R->VectorizableTree.begin());
2523 }
2524
2525 static nodes_iterator nodes_end(BoUpSLP *R) {
2526 return nodes_iterator(R->VectorizableTree.end());
2527 }
2528
2529 static unsigned size(BoUpSLP *R) { return R->VectorizableTree.size(); }
2530};
2531
2532template <> struct DOTGraphTraits<BoUpSLP *> : public DefaultDOTGraphTraits {
2533 using TreeEntry = BoUpSLP::TreeEntry;
2534
2535 DOTGraphTraits(bool isSimple = false) : DefaultDOTGraphTraits(isSimple) {}
2536
2537 std::string getNodeLabel(const TreeEntry *Entry, const BoUpSLP *R) {
2538 std::string Str;
2539 raw_string_ostream OS(Str);
2540 if (isSplat(Entry->Scalars)) {
2541 OS << "<splat> " << *Entry->Scalars[0];
2542 return Str;
2543 }
2544 for (auto V : Entry->Scalars) {
2545 OS << *V;
2546 if (llvm::any_of(R->ExternalUses, [&](const BoUpSLP::ExternalUser &EU) {
2547 return EU.Scalar == V;
2548 }))
2549 OS << " <extract>";
2550 OS << "\n";
2551 }
2552 return Str;
2553 }
2554
2555 static std::string getNodeAttributes(const TreeEntry *Entry,
2556 const BoUpSLP *) {
2557 if (Entry->State == TreeEntry::NeedToGather)
2558 return "color=red";
2559 return "";
2560 }
2561};
2562
2563} // end namespace llvm
2564
2565BoUpSLP::~BoUpSLP() {
2566 for (const auto &Pair : DeletedInstructions) {
2567 // Replace operands of ignored instructions with Undefs in case if they were
2568 // marked for deletion.
2569 if (Pair.getSecond()) {
2570 Value *Undef = UndefValue::get(Pair.getFirst()->getType());
2571 Pair.getFirst()->replaceAllUsesWith(Undef);
2572 }
2573 Pair.getFirst()->dropAllReferences();
2574 }
2575 for (const auto &Pair : DeletedInstructions) {
2576 assert(Pair.getFirst()->use_empty() &&(static_cast<void> (0))
2577 "trying to erase instruction with users.")(static_cast<void> (0));
2578 Pair.getFirst()->eraseFromParent();
2579 }
2580#ifdef EXPENSIVE_CHECKS
2581 // If we could guarantee that this call is not extremely slow, we could
2582 // remove the ifdef limitation (see PR47712).
2583 assert(!verifyFunction(*F, &dbgs()))(static_cast<void> (0));
2584#endif
2585}
2586
2587void BoUpSLP::eraseInstructions(ArrayRef<Value *> AV) {
2588 for (auto *V : AV) {
2589 if (auto *I = dyn_cast<Instruction>(V))
2590 eraseInstruction(I, /*ReplaceOpsWithUndef=*/true);
2591 };
2592}
2593
2594void BoUpSLP::buildTree(ArrayRef<Value *> Roots,
2595 ArrayRef<Value *> UserIgnoreLst) {
2596 ExtraValueToDebugLocsMap ExternallyUsedValues;
2597 buildTree(Roots, ExternallyUsedValues, UserIgnoreLst);
2598}
2599
2600void BoUpSLP::buildTree(ArrayRef<Value *> Roots,
2601 ExtraValueToDebugLocsMap &ExternallyUsedValues,
2602 ArrayRef<Value *> UserIgnoreLst) {
2603 deleteTree();
2604 UserIgnoreList = UserIgnoreLst;
2605 if (!allSameType(Roots))
2606 return;
2607 buildTree_rec(Roots, 0, EdgeInfo());
2608
2609 // Collect the values that we need to extract from the tree.
2610 for (auto &TEPtr : VectorizableTree) {
2611 TreeEntry *Entry = TEPtr.get();
2612
2613 // No need to handle users of gathered values.
2614 if (Entry->State == TreeEntry::NeedToGather)
2615 continue;
2616
2617 // For each lane:
2618 for (int Lane = 0, LE = Entry->Scalars.size(); Lane != LE; ++Lane) {
2619 Value *Scalar = Entry->Scalars[Lane];
2620 int FoundLane = Entry->findLaneForValue(Scalar);
2621
2622 // Check if the scalar is externally used as an extra arg.
2623 auto ExtI = ExternallyUsedValues.find(Scalar);
2624 if (ExtI != ExternallyUsedValues.end()) {
2625 LLVM_DEBUG(dbgs() << "SLP: Need to extract: Extra arg from lane "do { } while (false)
2626 << Lane << " from " << *Scalar << ".\n")do { } while (false);
2627 ExternalUses.emplace_back(Scalar, nullptr, FoundLane);
2628 }
2629 for (User *U : Scalar->users()) {
2630 LLVM_DEBUG(dbgs() << "SLP: Checking user:" << *U << ".\n")do { } while (false);
2631
2632 Instruction *UserInst = dyn_cast<Instruction>(U);
2633 if (!UserInst)
2634 continue;
2635
2636 if (isDeleted(UserInst))
2637 continue;
2638
2639 // Skip in-tree scalars that become vectors
2640 if (TreeEntry *UseEntry = getTreeEntry(U)) {
2641 Value *UseScalar = UseEntry->Scalars[0];
2642 // Some in-tree scalars will remain as scalar in vectorized
2643 // instructions. If that is the case, the one in Lane 0 will
2644 // be used.
2645 if (UseScalar != U ||
2646 UseEntry->State == TreeEntry::ScatterVectorize ||
2647 !InTreeUserNeedToExtract(Scalar, UserInst, TLI)) {
2648 LLVM_DEBUG(dbgs() << "SLP: \tInternal user will be removed:" << *Udo { } while (false)
2649 << ".\n")do { } while (false);
2650 assert(UseEntry->State != TreeEntry::NeedToGather && "Bad state")(static_cast<void> (0));
2651 continue;
2652 }
2653 }
2654
2655 // Ignore users in the user ignore list.
2656 if (is_contained(UserIgnoreList, UserInst))
2657 continue;
2658
2659 LLVM_DEBUG(dbgs() << "SLP: Need to extract:" << *U << " from lane "do { } while (false)
2660 << Lane << " from " << *Scalar << ".\n")do { } while (false);
2661 ExternalUses.push_back(ExternalUser(Scalar, U, FoundLane));
2662 }
2663 }
2664 }
2665}
2666
2667void BoUpSLP::buildTree_rec(ArrayRef<Value *> VL, unsigned Depth,
2668 const EdgeInfo &UserTreeIdx) {
2669 assert((allConstant(VL) || allSameType(VL)) && "Invalid types!")(static_cast<void> (0));
2670
2671 InstructionsState S = getSameOpcode(VL);
2672 if (Depth == RecursionMaxDepth) {
2673 LLVM_DEBUG(dbgs() << "SLP: Gathering due to max recursion depth.\n")do { } while (false);
2674 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx);
2675 return;
2676 }
2677
2678 // Don't handle scalable vectors
2679 if (S.getOpcode() == Instruction::ExtractElement &&
2680 isa<ScalableVectorType>(
2681 cast<ExtractElementInst>(S.OpValue)->getVectorOperandType())) {
2682 LLVM_DEBUG(dbgs() << "SLP: Gathering due to scalable vector type.\n")do { } while (false);
2683 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx);
2684 return;
2685 }
2686
2687 // Don't handle vectors.
2688 if (S.OpValue->getType()->isVectorTy() &&
2689 !isa<InsertElementInst>(S.OpValue)) {
2690 LLVM_DEBUG(dbgs() << "SLP: Gathering due to vector type.\n")do { } while (false);
2691 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx);
2692 return;
2693 }
2694
2695 if (StoreInst *SI = dyn_cast<StoreInst>(S.OpValue))
2696 if (SI->getValueOperand()->getType()->isVectorTy()) {
2697 LLVM_DEBUG(dbgs() << "SLP: Gathering due to store vector type.\n")do { } while (false);
2698 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx);
2699 return;
2700 }
2701
2702 // If all of the operands are identical or constant we have a simple solution.
2703 if (allConstant(VL) || isSplat(VL) || !allSameBlock(VL) || !S.getOpcode()) {
2704 LLVM_DEBUG(dbgs() << "SLP: Gathering due to C,S,B,O. \n")do { } while (false);
2705 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx);
2706 return;
2707 }
2708
2709 // We now know that this is a vector of instructions of the same type from
2710 // the same block.
2711
2712 // Don't vectorize ephemeral values.
2713 for (Value *V : VL) {
2714 if (EphValues.count(V)) {
2715 LLVM_DEBUG(dbgs() << "SLP: The instruction (" << *Vdo { } while (false)
2716 << ") is ephemeral.\n")do { } while (false);
2717 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx);
2718 return;
2719 }
2720 }
2721
2722 // Check if this is a duplicate of another entry.
2723 if (TreeEntry *E = getTreeEntry(S.OpValue)) {
2724 LLVM_DEBUG(dbgs() << "SLP: \tChecking bundle: " << *S.OpValue << ".\n")do { } while (false);
2725 if (!E->isSame(VL)) {
2726 LLVM_DEBUG(dbgs() << "SLP: Gathering due to partial overlap.\n")do { } while (false);
2727 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx);
2728 return;
2729 }
2730 // Record the reuse of the tree node. FIXME, currently this is only used to
2731 // properly draw the graph rather than for the actual vectorization.
2732 E->UserTreeIndices.push_back(UserTreeIdx);
2733 LLVM_DEBUG(dbgs() << "SLP: Perfect diamond merge at " << *S.OpValuedo { } while (false)
2734 << ".\n")do { } while (false);
2735 return;
2736 }
2737
2738 // Check that none of the instructions in the bundle are already in the tree.
2739 for (Value *V : VL) {
2740 auto *I = dyn_cast<Instruction>(V);
2741 if (!I)
2742 continue;
2743 if (getTreeEntry(I)) {
2744 LLVM_DEBUG(dbgs() << "SLP: The instruction (" << *Vdo { } while (false)
2745 << ") is already in tree.\n")do { } while (false);
2746 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx);
2747 return;
2748 }
2749 }
2750
2751 // If any of the scalars is marked as a value that needs to stay scalar, then
2752 // we need to gather the scalars.
2753 // The reduction nodes (stored in UserIgnoreList) also should stay scalar.
2754 for (Value *V : VL) {
2755 if (MustGather.count(V) || is_contained(UserIgnoreList, V)) {
2756 LLVM_DEBUG(dbgs() << "SLP: Gathering due to gathered scalar.\n")do { } while (false);
2757 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx);
2758 return;
2759 }
2760 }
2761
2762 // Check that all of the users of the scalars that we want to vectorize are
2763 // schedulable.
2764 auto *VL0 = cast<Instruction>(S.OpValue);
2765 BasicBlock *BB = VL0->getParent();
2766
2767 if (!DT->isReachableFromEntry(BB)) {
2768 // Don't go into unreachable blocks. They may contain instructions with
2769 // dependency cycles which confuse the final scheduling.
2770 LLVM_DEBUG(dbgs() << "SLP: bundle in unreachable block.\n")do { } while (false);
2771 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx);
2772 return;
2773 }
2774
2775 // Check that every instruction appears once in this bundle.
2776 SmallVector<unsigned, 4> ReuseShuffleIndicies;
2777 SmallVector<Value *, 4> UniqueValues;
2778 DenseMap<Value *, unsigned> UniquePositions;
2779 for (Value *V : VL) {
2780 auto Res = UniquePositions.try_emplace(V, UniqueValues.size());
2781 ReuseShuffleIndicies.emplace_back(Res.first->second);
2782 if (Res.second)
2783 UniqueValues.emplace_back(V);
2784 }
2785 size_t NumUniqueScalarValues = UniqueValues.size();
2786 if (NumUniqueScalarValues == VL.size()) {
2787 ReuseShuffleIndicies.clear();
2788 } else {
2789 LLVM_DEBUG(dbgs() << "SLP: Shuffle for reused scalars.\n")do { } while (false);
2790 if (NumUniqueScalarValues <= 1 ||
2791 !llvm::isPowerOf2_32(NumUniqueScalarValues)) {
2792 LLVM_DEBUG(dbgs() << "SLP: Scalar used twice in bundle.\n")do { } while (false);
2793 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx);
2794 return;
2795 }
2796 VL = UniqueValues;
2797 }
2798
2799 auto &BSRef = BlocksSchedules[BB];
2800 if (!BSRef)
2801 BSRef = std::make_unique<BlockScheduling>(BB);
2802
2803 BlockScheduling &BS = *BSRef.get();
2804
2805 Optional<ScheduleData *> Bundle = BS.tryScheduleBundle(VL, this, S);
2806 if (!Bundle) {
2807 LLVM_DEBUG(dbgs() << "SLP: We are not able to schedule this bundle!\n")do { } while (false);
2808 assert((!BS.getScheduleData(VL0) ||(static_cast<void> (0))
2809 !BS.getScheduleData(VL0)->isPartOfBundle()) &&(static_cast<void> (0))
2810 "tryScheduleBundle should cancelScheduling on failure")(static_cast<void> (0));
2811 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
2812 ReuseShuffleIndicies);
2813 return;
2814 }
2815 LLVM_DEBUG(dbgs() << "SLP: We are able to schedule this bundle.\n")do { } while (false);
2816
2817 unsigned ShuffleOrOp = S.isAltShuffle() ?
2818 (unsigned) Instruction::ShuffleVector : S.getOpcode();
2819 switch (ShuffleOrOp) {
2820 case Instruction::PHI: {
2821 auto *PH = cast<PHINode>(VL0);
2822
2823 // Check for terminator values (e.g. invoke).
2824 for (Value *V : VL)
2825 for (unsigned I = 0, E = PH->getNumIncomingValues(); I < E; ++I) {
2826 Instruction *Term = dyn_cast<Instruction>(
2827 cast<PHINode>(V)->getIncomingValueForBlock(
2828 PH->getIncomingBlock(I)));
2829 if (Term && Term->isTerminator()) {
2830 LLVM_DEBUG(dbgs()do { } while (false)
2831 << "SLP: Need to swizzle PHINodes (terminator use).\n")do { } while (false);
2832 BS.cancelScheduling(VL, VL0);
2833 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
2834 ReuseShuffleIndicies);
2835 return;
2836 }
2837 }
2838
2839 TreeEntry *TE =
2840 newTreeEntry(VL, Bundle, S, UserTreeIdx, ReuseShuffleIndicies);
2841 LLVM_DEBUG(dbgs() << "SLP: added a vector of PHINodes.\n")do { } while (false);
2842
2843 // Keeps the reordered operands to avoid code duplication.
2844 SmallVector<ValueList, 2> OperandsVec;
2845 for (unsigned I = 0, E = PH->getNumIncomingValues(); I < E; ++I) {
2846 if (!DT->isReachableFromEntry(PH->getIncomingBlock(I))) {
2847 ValueList Operands(VL.size(), PoisonValue::get(PH->getType()));
2848 TE->setOperand(I, Operands);
2849 OperandsVec.push_back(Operands);
2850 continue;
2851 }
2852 ValueList Operands;
2853 // Prepare the operand vector.
2854 for (Value *V : VL)
2855 Operands.push_back(cast<PHINode>(V)->getIncomingValueForBlock(
2856 PH->getIncomingBlock(I)));
2857 TE->setOperand(I, Operands);
2858 OperandsVec.push_back(Operands);
2859 }
2860 for (unsigned OpIdx = 0, OpE = OperandsVec.size(); OpIdx != OpE; ++OpIdx)
2861 buildTree_rec(OperandsVec[OpIdx], Depth + 1, {TE, OpIdx});
2862 return;
2863 }
2864 case Instruction::ExtractValue:
2865 case Instruction::ExtractElement: {
2866 OrdersType CurrentOrder;
2867 bool Reuse = canReuseExtract(VL, VL0, CurrentOrder);
2868 if (Reuse) {
2869 LLVM_DEBUG(dbgs() << "SLP: Reusing or shuffling extract sequence.\n")do { } while (false);
2870 ++NumOpsWantToKeepOriginalOrder;
2871 newTreeEntry(VL, Bundle /*vectorized*/, S, UserTreeIdx,
2872 ReuseShuffleIndicies);
2873 // This is a special case, as it does not gather, but at the same time
2874 // we are not extending buildTree_rec() towards the operands.
2875 ValueList Op0;
2876 Op0.assign(VL.size(), VL0->getOperand(0));
2877 VectorizableTree.back()->setOperand(0, Op0);
2878 return;
2879 }
2880 if (!CurrentOrder.empty()) {
2881 LLVM_DEBUG({do { } while (false)
2882 dbgs() << "SLP: Reusing or shuffling of reordered extract sequence "do { } while (false)
2883 "with order";do { } while (false)
2884 for (unsigned Idx : CurrentOrder)do { } while (false)
2885 dbgs() << " " << Idx;do { } while (false)
2886 dbgs() << "\n";do { } while (false)
2887 })do { } while (false);
2888 // Insert new order with initial value 0, if it does not exist,
2889 // otherwise return the iterator to the existing one.
2890 newTreeEntry(VL, Bundle /*vectorized*/, S, UserTreeIdx,
2891 ReuseShuffleIndicies, CurrentOrder);
2892 findRootOrder(CurrentOrder);
2893 ++NumOpsWantToKeepOrder[CurrentOrder];
2894 // This is a special case, as it does not gather, but at the same time
2895 // we are not extending buildTree_rec() towards the operands.
2896 ValueList Op0;
2897 Op0.assign(VL.size(), VL0->getOperand(0));
2898 VectorizableTree.back()->setOperand(0, Op0);
2899 return;
2900 }
2901 LLVM_DEBUG(dbgs() << "SLP: Gather extract sequence.\n")do { } while (false);
2902 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
2903 ReuseShuffleIndicies);
2904 BS.cancelScheduling(VL, VL0);
2905 return;
2906 }
2907 case Instruction::InsertElement: {
2908 assert(ReuseShuffleIndicies.empty() && "All inserts should be unique")(static_cast<void> (0));
2909
2910 // Check that we have a buildvector and not a shuffle of 2 or more
2911 // different vectors.
2912 ValueSet SourceVectors;
2913 for (Value *V : VL)
2914 SourceVectors.insert(cast<Instruction>(V)->getOperand(0));
2915
2916 if (count_if(VL, [&SourceVectors](Value *V) {
2917 return !SourceVectors.contains(V);
2918 }) >= 2) {
2919 // Found 2nd source vector - cancel.
2920 LLVM_DEBUG(dbgs() << "SLP: Gather of insertelement vectors with "do { } while (false)
2921 "different source vectors.\n")do { } while (false);
2922 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
2923 ReuseShuffleIndicies);
2924 BS.cancelScheduling(VL, VL0);
2925 return;
2926 }
2927
2928 TreeEntry *TE = newTreeEntry(VL, Bundle /*vectorized*/, S, UserTreeIdx);
2929 LLVM_DEBUG(dbgs() << "SLP: added inserts bundle.\n")do { } while (false);
2930
2931 constexpr int NumOps = 2;
2932 ValueList VectorOperands[NumOps];
2933 for (int I = 0; I < NumOps; ++I) {
2934 for (Value *V : VL)
2935 VectorOperands[I].push_back(cast<Instruction>(V)->getOperand(I));
2936
2937 TE->setOperand(I, VectorOperands[I]);
2938 }
2939 buildTree_rec(VectorOperands[NumOps - 1], Depth + 1, {TE, 0});
2940 return;
2941 }
2942 case Instruction::Load: {
2943 // Check that a vectorized load would load the same memory as a scalar
2944 // load. For example, we don't want to vectorize loads that are smaller
2945 // than 8-bit. Even though we have a packed struct {<i2, i2, i2, i2>} LLVM
2946 // treats loading/storing it as an i8 struct. If we vectorize loads/stores
2947 // from such a struct, we read/write packed bits disagreeing with the
2948 // unvectorized version.
2949 Type *ScalarTy = VL0->getType();
2950
2951 if (DL->getTypeSizeInBits(ScalarTy) !=
2952 DL->getTypeAllocSizeInBits(ScalarTy)) {
2953 BS.cancelScheduling(VL, VL0);
2954 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
2955 ReuseShuffleIndicies);
2956 LLVM_DEBUG(dbgs() << "SLP: Gathering loads of non-packed type.\n")do { } while (false);
2957 return;
2958 }
2959
2960 // Make sure all loads in the bundle are simple - we can't vectorize
2961 // atomic or volatile loads.
2962 SmallVector<Value *, 4> PointerOps(VL.size());
2963 auto POIter = PointerOps.begin();
2964 for (Value *V : VL) {
2965 auto *L = cast<LoadInst>(V);
2966 if (!L->isSimple()) {
2967 BS.cancelScheduling(VL, VL0);
2968 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
2969 ReuseShuffleIndicies);
2970 LLVM_DEBUG(dbgs() << "SLP: Gathering non-simple loads.\n")do { } while (false);
2971 return;
2972 }
2973 *POIter = L->getPointerOperand();
2974 ++POIter;
2975 }
2976
2977 OrdersType CurrentOrder;
2978 // Check the order of pointer operands.
2979 if (llvm::sortPtrAccesses(PointerOps, ScalarTy, *DL, *SE, CurrentOrder)) {
2980 Value *Ptr0;
2981 Value *PtrN;
2982 if (CurrentOrder.empty()) {
2983 Ptr0 = PointerOps.front();
2984 PtrN = PointerOps.back();
2985 } else {
2986 Ptr0 = PointerOps[CurrentOrder.front()];
2987 PtrN = PointerOps[CurrentOrder.back()];
2988 }
2989 Optional<int> Diff = getPointersDiff(
2990 ScalarTy, Ptr0, ScalarTy, PtrN, *DL, *SE);
2991 // Check that the sorted loads are consecutive.
2992 if (static_cast<unsigned>(*Diff) == VL.size() - 1) {
2993 if (CurrentOrder.empty()) {
2994 // Original loads are consecutive and does not require reordering.
2995 ++NumOpsWantToKeepOriginalOrder;
2996 TreeEntry *TE = newTreeEntry(VL, Bundle /*vectorized*/, S,
2997 UserTreeIdx, ReuseShuffleIndicies);
2998 TE->setOperandsInOrder();
2999 LLVM_DEBUG(dbgs() << "SLP: added a vector of loads.\n")do { } while (false);
3000 } else {
3001 // Need to reorder.
3002 TreeEntry *TE =
3003 newTreeEntry(VL, Bundle /*vectorized*/, S, UserTreeIdx,
3004 ReuseShuffleIndicies, CurrentOrder);
3005 TE->setOperandsInOrder();
3006 LLVM_DEBUG(dbgs() << "SLP: added a vector of jumbled loads.\n")do { } while (false);
3007 findRootOrder(CurrentOrder);
3008 ++NumOpsWantToKeepOrder[CurrentOrder];
3009 }
3010 return;
3011 }
3012 Align CommonAlignment = cast<LoadInst>(VL0)->getAlign();
3013 for (Value *V : VL)
3014 CommonAlignment =
3015 commonAlignment(CommonAlignment, cast<LoadInst>(V)->getAlign());
3016 if (TTI->isLegalMaskedGather(FixedVectorType::get(ScalarTy, VL.size()),
3017 CommonAlignment)) {
3018 // Vectorizing non-consecutive loads with `llvm.masked.gather`.
3019 TreeEntry *TE = newTreeEntry(VL, TreeEntry::ScatterVectorize, Bundle,
3020 S, UserTreeIdx, ReuseShuffleIndicies);
3021 TE->setOperandsInOrder();
3022 buildTree_rec(PointerOps, Depth + 1, {TE, 0});
3023 LLVM_DEBUG(dbgs()do { } while (false)
3024 << "SLP: added a vector of non-consecutive loads.\n")do { } while (false);
3025 return;
3026 }
3027 }
3028
3029 LLVM_DEBUG(dbgs() << "SLP: Gathering non-consecutive loads.\n")do { } while (false);
3030 BS.cancelScheduling(VL, VL0);
3031 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3032 ReuseShuffleIndicies);
3033 return;
3034 }
3035 case Instruction::ZExt:
3036 case Instruction::SExt:
3037 case Instruction::FPToUI:
3038 case Instruction::FPToSI:
3039 case Instruction::FPExt:
3040 case Instruction::PtrToInt:
3041 case Instruction::IntToPtr:
3042 case Instruction::SIToFP:
3043 case Instruction::UIToFP:
3044 case Instruction::Trunc:
3045 case Instruction::FPTrunc:
3046 case Instruction::BitCast: {
3047 Type *SrcTy = VL0->getOperand(0)->getType();
3048 for (Value *V : VL) {
3049 Type *Ty = cast<Instruction>(V)->getOperand(0)->getType();
3050 if (Ty != SrcTy || !isValidElementType(Ty)) {
3051 BS.cancelScheduling(VL, VL0);
3052 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3053 ReuseShuffleIndicies);
3054 LLVM_DEBUG(dbgs()do { } while (false)
3055 << "SLP: Gathering casts with different src types.\n")do { } while (false);
3056 return;
3057 }
3058 }
3059 TreeEntry *TE = newTreeEntry(VL, Bundle /*vectorized*/, S, UserTreeIdx,
3060 ReuseShuffleIndicies);
3061 LLVM_DEBUG(dbgs() << "SLP: added a vector of casts.\n")do { } while (false);
3062
3063 TE->setOperandsInOrder();
3064 for (unsigned i = 0, e = VL0->getNumOperands(); i < e; ++i) {
3065 ValueList Operands;
3066 // Prepare the operand vector.
3067 for (Value *V : VL)
3068 Operands.push_back(cast<Instruction>(V)->getOperand(i));
3069
3070 buildTree_rec(Operands, Depth + 1, {TE, i});
3071 }
3072 return;
3073 }
3074 case Instruction::ICmp:
3075 case Instruction::FCmp: {
3076 // Check that all of the compares have the same predicate.
3077 CmpInst::Predicate P0 = cast<CmpInst>(VL0)->getPredicate();
3078 CmpInst::Predicate SwapP0 = CmpInst::getSwappedPredicate(P0);
3079 Type *ComparedTy = VL0->getOperand(0)->getType();
3080 for (Value *V : VL) {
3081 CmpInst *Cmp = cast<CmpInst>(V);
3082 if ((Cmp->getPredicate() != P0 && Cmp->getPredicate() != SwapP0) ||
3083 Cmp->getOperand(0)->getType() != ComparedTy) {
3084 BS.cancelScheduling(VL, VL0);
3085 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3086 ReuseShuffleIndicies);
3087 LLVM_DEBUG(dbgs()do { } while (false)
3088 << "SLP: Gathering cmp with different predicate.\n")do { } while (false);
3089 return;
3090 }
3091 }
3092
3093 TreeEntry *TE = newTreeEntry(VL, Bundle /*vectorized*/, S, UserTreeIdx,
3094 ReuseShuffleIndicies);
3095 LLVM_DEBUG(dbgs() << "SLP: added a vector of compares.\n")do { } while (false);
3096
3097 ValueList Left, Right;
3098 if (cast<CmpInst>(VL0)->isCommutative()) {
3099 // Commutative predicate - collect + sort operands of the instructions
3100 // so that each side is more likely to have the same opcode.
3101 assert(P0 == SwapP0 && "Commutative Predicate mismatch")(static_cast<void> (0));
3102 reorderInputsAccordingToOpcode(VL, Left, Right, *DL, *SE, *this);
3103 } else {
3104 // Collect operands - commute if it uses the swapped predicate.
3105 for (Value *V : VL) {
3106 auto *Cmp = cast<CmpInst>(V);
3107 Value *LHS = Cmp->getOperand(0);
3108 Value *RHS = Cmp->getOperand(1);
3109 if (Cmp->getPredicate() != P0)
3110 std::swap(LHS, RHS);
3111 Left.push_back(LHS);
3112 Right.push_back(RHS);
3113 }
3114 }
3115 TE->setOperand(0, Left);
3116 TE->setOperand(1, Right);
3117 buildTree_rec(Left, Depth + 1, {TE, 0});
3118 buildTree_rec(Right, Depth + 1, {TE, 1});
3119 return;
3120 }
3121 case Instruction::Select:
3122 case Instruction::FNeg:
3123 case Instruction::Add:
3124 case Instruction::FAdd:
3125 case Instruction::Sub:
3126 case Instruction::FSub:
3127 case Instruction::Mul:
3128 case Instruction::FMul:
3129 case Instruction::UDiv:
3130 case Instruction::SDiv:
3131 case Instruction::FDiv:
3132 case Instruction::URem:
3133 case Instruction::SRem:
3134 case Instruction::FRem:
3135 case Instruction::Shl:
3136 case Instruction::LShr:
3137 case Instruction::AShr:
3138 case Instruction::And:
3139 case Instruction::Or:
3140 case Instruction::Xor: {
3141 TreeEntry *TE = newTreeEntry(VL, Bundle /*vectorized*/, S, UserTreeIdx,
3142 ReuseShuffleIndicies);
3143 LLVM_DEBUG(dbgs() << "SLP: added a vector of un/bin op.\n")do { } while (false);
3144
3145 // Sort operands of the instructions so that each side is more likely to
3146 // have the same opcode.
3147 if (isa<BinaryOperator>(VL0) && VL0->isCommutative()) {
3148 ValueList Left, Right;
3149 reorderInputsAccordingToOpcode(VL, Left, Right, *DL, *SE, *this);
3150 TE->setOperand(0, Left);
3151 TE->setOperand(1, Right);
3152 buildTree_rec(Left, Depth + 1, {TE, 0});
3153 buildTree_rec(Right, Depth + 1, {TE, 1});
3154 return;
3155 }
3156
3157 TE->setOperandsInOrder();
3158 for (unsigned i = 0, e = VL0->getNumOperands(); i < e; ++i) {
3159 ValueList Operands;
3160 // Prepare the operand vector.
3161 for (Value *V : VL)
3162 Operands.push_back(cast<Instruction>(V)->getOperand(i));
3163
3164 buildTree_rec(Operands, Depth + 1, {TE, i});
3165 }
3166 return;
3167 }
3168 case Instruction::GetElementPtr: {
3169 // We don't combine GEPs with complicated (nested) indexing.
3170 for (Value *V : VL) {
3171 if (cast<Instruction>(V)->getNumOperands() != 2) {
3172 LLVM_DEBUG(dbgs() << "SLP: not-vectorizable GEP (nested indexes).\n")do { } while (false);
3173 BS.cancelScheduling(VL, VL0);
3174 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3175 ReuseShuffleIndicies);
3176 return;
3177 }
3178 }
3179
3180 // We can't combine several GEPs into one vector if they operate on
3181 // different types.
3182 Type *Ty0 = VL0->getOperand(0)->getType();
3183 for (Value *V : VL) {
3184 Type *CurTy = cast<Instruction>(V)->getOperand(0)->getType();
3185 if (Ty0 != CurTy) {
3186 LLVM_DEBUG(dbgs()do { } while (false)
3187 << "SLP: not-vectorizable GEP (different types).\n")do { } while (false);
3188 BS.cancelScheduling(VL, VL0);
3189 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3190 ReuseShuffleIndicies);
3191 return;
3192 }
3193 }
3194
3195 // We don't combine GEPs with non-constant indexes.
3196 Type *Ty1 = VL0->getOperand(1)->getType();
3197 for (Value *V : VL) {
3198 auto Op = cast<Instruction>(V)->getOperand(1);
3199 if (!isa<ConstantInt>(Op) ||
3200 (Op->getType() != Ty1 &&
3201 Op->getType()->getScalarSizeInBits() >
3202 DL->getIndexSizeInBits(
3203 V->getType()->getPointerAddressSpace()))) {
3204 LLVM_DEBUG(dbgs()do { } while (false)
3205 << "SLP: not-vectorizable GEP (non-constant indexes).\n")do { } while (false);
3206 BS.cancelScheduling(VL, VL0);
3207 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3208 ReuseShuffleIndicies);
3209 return;
3210 }
3211 }
3212
3213 TreeEntry *TE = newTreeEntry(VL, Bundle /*vectorized*/, S, UserTreeIdx,
3214 ReuseShuffleIndicies);
3215 LLVM_DEBUG(dbgs() << "SLP: added a vector of GEPs.\n")do { } while (false);
3216 TE->setOperandsInOrder();
3217 for (unsigned i = 0, e = 2; i < e; ++i) {
3218 ValueList Operands;
3219 // Prepare the operand vector.
3220 for (Value *V : VL)
3221 Operands.push_back(cast<Instruction>(V)->getOperand(i));
3222
3223 buildTree_rec(Operands, Depth + 1, {TE, i});
3224 }
3225 return;
3226 }
3227 case Instruction::Store: {
3228 // Check if the stores are consecutive or if we need to swizzle them.
3229 llvm::Type *ScalarTy = cast<StoreInst>(VL0)->getValueOperand()->getType();
3230 // Avoid types that are padded when being allocated as scalars, while
3231 // being packed together in a vector (such as i1).
3232 if (DL->getTypeSizeInBits(ScalarTy) !=
3233 DL->getTypeAllocSizeInBits(ScalarTy)) {
3234 BS.cancelScheduling(VL, VL0);
3235 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3236 ReuseShuffleIndicies);
3237 LLVM_DEBUG(dbgs() << "SLP: Gathering stores of non-packed type.\n")do { } while (false);
3238 return;
3239 }
3240 // Make sure all stores in the bundle are simple - we can't vectorize
3241 // atomic or volatile stores.
3242 SmallVector<Value *, 4> PointerOps(VL.size());
3243 ValueList Operands(VL.size());
3244 auto POIter = PointerOps.begin();
3245 auto OIter = Operands.begin();
3246 for (Value *V : VL) {
3247 auto *SI = cast<StoreInst>(V);
3248 if (!SI->isSimple()) {
3249 BS.cancelScheduling(VL, VL0);
3250 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3251 ReuseShuffleIndicies);
3252 LLVM_DEBUG(dbgs() << "SLP: Gathering non-simple stores.\n")do { } while (false);
3253 return;
3254 }
3255 *POIter = SI->getPointerOperand();
3256 *OIter = SI->getValueOperand();
3257 ++POIter;
3258 ++OIter;
3259 }
3260
3261 OrdersType CurrentOrder;
3262 // Check the order of pointer operands.
3263 if (llvm::sortPtrAccesses(PointerOps, ScalarTy, *DL, *SE, CurrentOrder)) {
3264 Value *Ptr0;
3265 Value *PtrN;
3266 if (CurrentOrder.empty()) {
3267 Ptr0 = PointerOps.front();
3268 PtrN = PointerOps.back();
3269 } else {
3270 Ptr0 = PointerOps[CurrentOrder.front()];
3271 PtrN = PointerOps[CurrentOrder.back()];
3272 }
3273 Optional<int> Dist =
3274 getPointersDiff(ScalarTy, Ptr0, ScalarTy, PtrN, *DL, *SE);
3275 // Check that the sorted pointer operands are consecutive.
3276 if (static_cast<unsigned>(*Dist) == VL.size() - 1) {
3277 if (CurrentOrder.empty()) {
3278 // Original stores are consecutive and does not require reordering.
3279 ++NumOpsWantToKeepOriginalOrder;
3280 TreeEntry *TE = newTreeEntry(VL, Bundle /*vectorized*/, S,
3281 UserTreeIdx, ReuseShuffleIndicies);
3282 TE->setOperandsInOrder();
3283 buildTree_rec(Operands, Depth + 1, {TE, 0});
3284 LLVM_DEBUG(dbgs() << "SLP: added a vector of stores.\n")do { } while (false);
3285 } else {
3286 TreeEntry *TE =
3287 newTreeEntry(VL, Bundle /*vectorized*/, S, UserTreeIdx,
3288 ReuseShuffleIndicies, CurrentOrder);
3289 TE->setOperandsInOrder();
3290 buildTree_rec(Operands, Depth + 1, {TE, 0});
3291 LLVM_DEBUG(dbgs() << "SLP: added a vector of jumbled stores.\n")do { } while (false);
3292 findRootOrder(CurrentOrder);
3293 ++NumOpsWantToKeepOrder[CurrentOrder];
3294 }
3295 return;
3296 }
3297 }
3298
3299 BS.cancelScheduling(VL, VL0);
3300 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3301 ReuseShuffleIndicies);
3302 LLVM_DEBUG(dbgs() << "SLP: Non-consecutive store.\n")do { } while (false);
3303 return;
3304 }
3305 case Instruction::Call: {
3306 // Check if the calls are all to the same vectorizable intrinsic or
3307 // library function.
3308 CallInst *CI = cast<CallInst>(VL0);
3309 Intrinsic::ID ID = getVectorIntrinsicIDForCall(CI, TLI);
3310
3311 VFShape Shape = VFShape::get(
3312 *CI, ElementCount::getFixed(static_cast<unsigned int>(VL.size())),
3313 false /*HasGlobalPred*/);
3314 Function *VecFunc = VFDatabase(*CI).getVectorizedFunction(Shape);
3315
3316 if (!VecFunc && !isTriviallyVectorizable(ID)) {
3317 BS.cancelScheduling(VL, VL0);
3318 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3319 ReuseShuffleIndicies);
3320 LLVM_DEBUG(dbgs() << "SLP: Non-vectorizable call.\n")do { } while (false);
3321 return;
3322 }
3323 Function *F = CI->getCalledFunction();
3324 unsigned NumArgs = CI->getNumArgOperands();
3325 SmallVector<Value*, 4> ScalarArgs(NumArgs, nullptr);
3326 for (unsigned j = 0; j != NumArgs; ++j)
3327 if (hasVectorInstrinsicScalarOpd(ID, j))
3328 ScalarArgs[j] = CI->getArgOperand(j);
3329 for (Value *V : VL) {
3330 CallInst *CI2 = dyn_cast<CallInst>(V);
3331 if (!CI2 || CI2->getCalledFunction() != F ||
3332 getVectorIntrinsicIDForCall(CI2, TLI) != ID ||
3333 (VecFunc &&
3334 VecFunc != VFDatabase(*CI2).getVectorizedFunction(Shape)) ||
3335 !CI->hasIdenticalOperandBundleSchema(*CI2)) {
3336 BS.cancelScheduling(VL, VL0);
3337 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3338 ReuseShuffleIndicies);
3339 LLVM_DEBUG(dbgs() << "SLP: mismatched calls:" << *CI << "!=" << *Vdo { } while (false)
3340 << "\n")do { } while (false);
3341 return;
3342 }
3343 // Some intrinsics have scalar arguments and should be same in order for
3344 // them to be vectorized.
3345 for (unsigned j = 0; j != NumArgs; ++j) {
3346 if (hasVectorInstrinsicScalarOpd(ID, j)) {
3347 Value *A1J = CI2->getArgOperand(j);
3348 if (ScalarArgs[j] != A1J) {
3349 BS.cancelScheduling(VL, VL0);
3350 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3351 ReuseShuffleIndicies);
3352 LLVM_DEBUG(dbgs() << "SLP: mismatched arguments in call:" << *CIdo { } while (false)
3353 << " argument " << ScalarArgs[j] << "!=" << A1Jdo { } while (false)
3354 << "\n")do { } while (false);
3355 return;
3356 }
3357 }
3358 }
3359 // Verify that the bundle operands are identical between the two calls.
3360 if (CI->hasOperandBundles() &&
3361 !std::equal(CI->op_begin() + CI->getBundleOperandsStartIndex(),
3362 CI->op_begin() + CI->getBundleOperandsEndIndex(),
3363 CI2->op_begin() + CI2->getBundleOperandsStartIndex())) {
3364 BS.cancelScheduling(VL, VL0);
3365 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3366 ReuseShuffleIndicies);
3367 LLVM_DEBUG(dbgs() << "SLP: mismatched bundle operands in calls:"do { } while (false)
3368 << *CI << "!=" << *V << '\n')do { } while (false);
3369 return;
3370 }
3371 }
3372
3373 TreeEntry *TE = newTreeEntry(VL, Bundle /*vectorized*/, S, UserTreeIdx,
3374 ReuseShuffleIndicies);
3375 TE->setOperandsInOrder();
3376 for (unsigned i = 0, e = CI->getNumArgOperands(); i != e; ++i) {
3377 ValueList Operands;
3378 // Prepare the operand vector.
3379 for (Value *V : VL) {
3380 auto *CI2 = cast<CallInst>(V);
3381 Operands.push_back(CI2->getArgOperand(i));
3382 }
3383 buildTree_rec(Operands, Depth + 1, {TE, i});
3384 }
3385 return;
3386 }
3387 case Instruction::ShuffleVector: {
3388 // If this is not an alternate sequence of opcode like add-sub
3389 // then do not vectorize this instruction.
3390 if (!S.isAltShuffle()) {
3391 BS.cancelScheduling(VL, VL0);
3392 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3393 ReuseShuffleIndicies);
3394 LLVM_DEBUG(dbgs() << "SLP: ShuffleVector are not vectorized.\n")do { } while (false);
3395 return;
3396 }
3397 TreeEntry *TE = newTreeEntry(VL, Bundle /*vectorized*/, S, UserTreeIdx,
3398 ReuseShuffleIndicies);
3399 LLVM_DEBUG(dbgs() << "SLP: added a ShuffleVector op.\n")do { } while (false);
3400
3401 // Reorder operands if reordering would enable vectorization.
3402 if (isa<BinaryOperator>(VL0)) {
3403 ValueList Left, Right;
3404 reorderInputsAccordingToOpcode(VL, Left, Right, *DL, *SE, *this);
3405 TE->setOperand(0, Left);
3406 TE->setOperand(1, Right);
3407 buildTree_rec(Left, Depth + 1, {TE, 0});
3408 buildTree_rec(Right, Depth + 1, {TE, 1});
3409 return;
3410 }
3411
3412 TE->setOperandsInOrder();
3413 for (unsigned i = 0, e = VL0->getNumOperands(); i < e; ++i) {
3414 ValueList Operands;
3415 // Prepare the operand vector.
3416 for (Value *V : VL)
3417 Operands.push_back(cast<Instruction>(V)->getOperand(i));
3418
3419 buildTree_rec(Operands, Depth + 1, {TE, i});
3420 }
3421 return;
3422 }
3423 default:
3424 BS.cancelScheduling(VL, VL0);
3425 newTreeEntry(VL, None /*not vectorized*/, S, UserTreeIdx,
3426 ReuseShuffleIndicies);
3427 LLVM_DEBUG(dbgs() << "SLP: Gathering unknown instruction.\n")do { } while (false);
3428 return;
3429 }
3430}
3431
3432unsigned BoUpSLP::canMapToVector(Type *T, const DataLayout &DL) const {
3433 unsigned N = 1;
3434 Type *EltTy = T;
3435
3436 while (isa<StructType>(EltTy) || isa<ArrayType>(EltTy) ||
3437 isa<VectorType>(EltTy)) {
3438 if (auto *ST = dyn_cast<StructType>(EltTy)) {
3439 // Check that struct is homogeneous.
3440 for (const auto *Ty : ST->elements())
3441 if (Ty != *ST->element_begin())
3442 return 0;
3443 N *= ST->getNumElements();
3444 EltTy = *ST->element_begin();
3445 } else if (auto *AT = dyn_cast<ArrayType>(EltTy)) {
3446 N *= AT->getNumElements();
3447 EltTy = AT->getElementType();
3448 } else {
3449 auto *VT = cast<FixedVectorType>(EltTy);
3450 N *= VT->getNumElements();
3451 EltTy = VT->getElementType();
3452 }
3453 }
3454
3455 if (!isValidElementType(EltTy))
3456 return 0;
3457 uint64_t VTSize = DL.getTypeStoreSizeInBits(FixedVectorType::get(EltTy, N));
3458 if (VTSize < MinVecRegSize || VTSize > MaxVecRegSize || VTSize != DL.getTypeStoreSizeInBits(T))
3459 return 0;
3460 return N;
3461}
3462
3463bool BoUpSLP::canReuseExtract(ArrayRef<Value *> VL, Value *OpValue,
3464 SmallVectorImpl<unsigned> &CurrentOrder) const {
3465 Instruction *E0 = cast<Instruction>(OpValue);
3466 assert(E0->getOpcode() == Instruction::ExtractElement ||(static_cast<void> (0))
3467 E0->getOpcode() == Instruction::ExtractValue)(static_cast<void> (0));
3468 assert(E0->getOpcode() == getSameOpcode(VL).getOpcode() && "Invalid opcode")(static_cast<void> (0));
3469 // Check if all of the extracts come from the same vector and from the
3470 // correct offset.
3471 Value *Vec = E0->getOperand(0);
3472
3473 CurrentOrder.clear();
3474
3475 // We have to extract from a vector/aggregate with the same number of elements.
3476 unsigned NElts;
3477 if (E0->getOpcode() == Instruction::ExtractValue) {
3478 const DataLayout &DL = E0->getModule()->getDataLayout();
3479 NElts = canMapToVector(Vec->getType(), DL);
3480 if (!NElts)
3481 return false;
3482 // Check if load can be rewritten as load of vector.
3483 LoadInst *LI = dyn_cast<LoadInst>(Vec);
3484 if (!LI || !LI->isSimple() || !LI->hasNUses(VL.size()))
3485 return false;
3486 } else {
3487 NElts = cast<FixedVectorType>(Vec->getType())->getNumElements();
3488 }
3489
3490 if (NElts != VL.size())
3491 return false;
3492
3493 // Check that all of the indices extract from the correct offset.
3494 bool ShouldKeepOrder = true;
3495 unsigned E = VL.size();
3496 // Assign to all items the initial value E + 1 so we can check if the extract
3497 // instruction index was used already.
3498 // Also, later we can check that all the indices are used and we have a
3499 // consecutive access in the extract instructions, by checking that no
3500 // element of CurrentOrder still has value E + 1.
3501 CurrentOrder.assign(E, E + 1);
3502 unsigned I = 0;
3503 for (; I < E; ++I) {
3504 auto *Inst = cast<Instruction>(VL[I]);
3505 if (Inst->getOperand(0) != Vec)
3506 break;
3507 Optional<unsigned> Idx = getExtractIndex(Inst);
3508 if (!Idx)
3509 break;
3510 const unsigned ExtIdx = *Idx;
3511 if (ExtIdx != I) {
3512 if (ExtIdx >= E || CurrentOrder[ExtIdx] != E + 1)
3513 break;
3514 ShouldKeepOrder = false;
3515 CurrentOrder[ExtIdx] = I;
3516 } else {
3517 if (CurrentOrder[I] != E + 1)
3518 break;
3519 CurrentOrder[I] = I;
3520 }
3521 }
3522 if (I < E) {
3523 CurrentOrder.clear();
3524 return false;
3525 }
3526
3527 return ShouldKeepOrder;
3528}
3529
3530bool BoUpSLP::areAllUsersVectorized(Instruction *I,
3531 ArrayRef<Value *> VectorizedVals) const {
3532 return (I->hasOneUse() && is_contained(VectorizedVals, I)) ||
3533 llvm::all_of(I->users(), [this](User *U) {
3534 return ScalarToTreeEntry.count(U) > 0;
3535 });
3536}
3537
3538static std::pair<InstructionCost, InstructionCost>
3539getVectorCallCosts(CallInst *CI, FixedVectorType *VecTy,
3540 TargetTransformInfo *TTI, TargetLibraryInfo *TLI) {
3541 Intrinsic::ID ID = getVectorIntrinsicIDForCall(CI, TLI);
3542
3543 // Calculate the cost of the scalar and vector calls.
3544 SmallVector<Type *, 4> VecTys;
3545 for (Use &Arg : CI->args())
3546 VecTys.push_back(
3547 FixedVectorType::get(Arg->getType(), VecTy->getNumElements()));
3548 FastMathFlags FMF;
3549 if (auto *FPCI = dyn_cast<FPMathOperator>(CI))
3550 FMF = FPCI->getFastMathFlags();
3551 SmallVector<const Value *> Arguments(CI->arg_begin(), CI->arg_end());
3552 IntrinsicCostAttributes CostAttrs(ID, VecTy, Arguments, VecTys, FMF,
3553 dyn_cast<IntrinsicInst>(CI));
3554 auto IntrinsicCost =
3555 TTI->getIntrinsicInstrCost(CostAttrs, TTI::TCK_RecipThroughput);
3556
3557 auto Shape = VFShape::get(*CI, ElementCount::getFixed(static_cast<unsigned>(
3558 VecTy->getNumElements())),
3559 false /*HasGlobalPred*/);
3560 Function *VecFunc = VFDatabase(*CI).getVectorizedFunction(Shape);
3561 auto LibCost = IntrinsicCost;
3562 if (!CI->isNoBuiltin() && VecFunc) {
3563 // Calculate the cost of the vector library call.
3564 // If the corresponding vector call is cheaper, return its cost.
3565 LibCost = TTI->getCallInstrCost(nullptr, VecTy, VecTys,
3566 TTI::TCK_RecipThroughput);
3567 }
3568 return {IntrinsicCost, LibCost};
3569}
3570
3571/// Compute the cost of creating a vector of type \p VecTy containing the
3572/// extracted values from \p VL.
3573static InstructionCost
3574computeExtractCost(ArrayRef<Value *> VL, FixedVectorType *VecTy,
3575 TargetTransformInfo::ShuffleKind ShuffleKind,
3576 ArrayRef<int> Mask, TargetTransformInfo &TTI) {
3577 unsigned NumOfParts = TTI.getNumberOfParts(VecTy);
3578
3579 if (ShuffleKind != TargetTransformInfo::SK_PermuteSingleSrc || !NumOfParts ||
3580 VecTy->getNumElements() < NumOfParts)
3581 return TTI.getShuffleCost(ShuffleKind, VecTy, Mask);
3582
3583 bool AllConsecutive = true;
3584 unsigned EltsPerVector = VecTy->getNumElements() / NumOfParts;
3585 unsigned Idx = -1;
3586 InstructionCost Cost = 0;
3587
3588 // Process extracts in blocks of EltsPerVector to check if the source vector
3589 // operand can be re-used directly. If not, add the cost of creating a shuffle
3590 // to extract the values into a vector register.
3591 for (auto *V : VL) {
3592 ++Idx;
3593
3594 // Reached the start of a new vector registers.
3595 if (Idx % EltsPerVector == 0) {
3596 AllConsecutive = true;
3597 continue;
3598 }
3599
3600 // Check all extracts for a vector register on the target directly
3601 // extract values in order.
3602 unsigned CurrentIdx = *getExtractIndex(cast<Instruction>(V));
3603 unsigned PrevIdx = *getExtractIndex(cast<Instruction>(VL[Idx - 1]));
3604 AllConsecutive &= PrevIdx + 1 == CurrentIdx &&
3605 CurrentIdx % EltsPerVector == Idx % EltsPerVector;
3606
3607 if (AllConsecutive)
3608 continue;
3609
3610 // Skip all indices, except for the last index per vector block.
3611 if ((Idx + 1) % EltsPerVector != 0 && Idx + 1 != VL.size())
3612 continue;
3613
3614 // If we have a series of extracts which are not consecutive and hence
3615 // cannot re-use the source vector register directly, compute the shuffle
3616 // cost to extract the a vector with EltsPerVector elements.
3617 Cost += TTI.getShuffleCost(
3618 TargetTransformInfo::SK_PermuteSingleSrc,
3619 FixedVectorType::get(VecTy->getElementType(), EltsPerVector));
3620 }
3621 return Cost;
3622}
3623
3624/// Shuffles \p Mask in accordance with the given \p SubMask.
3625static void addMask(SmallVectorImpl<int> &Mask, ArrayRef<int> SubMask) {
3626 if (SubMask.empty())
3627 return;
3628 if (Mask.empty()) {
3629 Mask.append(SubMask.begin(), SubMask.end());
3630 return;
3631 }
3632 SmallVector<int, 4> NewMask(SubMask.size(), SubMask.size());
3633 int TermValue = std::min(Mask.size(), SubMask.size());
3634 for (int I = 0, E = SubMask.size(); I < E; ++I) {
3635 if (SubMask[I] >= TermValue || SubMask[I] == UndefMaskElem ||
3636 Mask[SubMask[I]] >= TermValue) {
3637 NewMask[I] = UndefMaskElem;
3638 continue;
3639 }
3640 NewMask[I] = Mask[SubMask[I]];
3641 }
3642 Mask.swap(NewMask);
3643}
3644
3645InstructionCost BoUpSLP::getEntryCost(const TreeEntry *E,
3646 ArrayRef<Value *> VectorizedVals) {
3647 ArrayRef<Value*> VL = E->Scalars;
3648
3649 Type *ScalarTy = VL[0]->getType();
3650 if (StoreInst *SI = dyn_cast<StoreInst>(VL[0]))
3651 ScalarTy = SI->getValueOperand()->getType();
3652 else if (CmpInst *CI = dyn_cast<CmpInst>(VL[0]))
3653 ScalarTy = CI->getOperand(0)->getType();
3654 else if (auto *IE = dyn_cast<InsertElementInst>(VL[0]))
3655 ScalarTy = IE->getOperand(1)->getType();
3656 auto *VecTy = FixedVectorType::get(ScalarTy, VL.size());
3657 TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput;
3658
3659 // If we have computed a smaller type for the expression, update VecTy so
3660 // that the costs will be accurate.
3661 if (MinBWs.count(VL[0]))
3662 VecTy = FixedVectorType::get(
3663 IntegerType::get(F->getContext(), MinBWs[VL[0]].first), VL.size());
3664 auto *FinalVecTy = VecTy;
3665
3666 unsigned ReuseShuffleNumbers = E->ReuseShuffleIndices.size();
3667 bool NeedToShuffleReuses = !E->ReuseShuffleIndices.empty();
3668 if (NeedToShuffleReuses)
3669 FinalVecTy =
3670 FixedVectorType::get(VecTy->getElementType(), ReuseShuffleNumbers);
3671 // FIXME: it tries to fix a problem with MSVC buildbots.
3672 TargetTransformInfo &TTIRef = *TTI;
3673 auto &&AdjustExtractsCost = [this, &TTIRef, CostKind, VL, VecTy,
3674 VectorizedVals](InstructionCost &Cost,
3675 bool IsGather) {
3676 DenseMap<Value *, int> ExtractVectorsTys;
3677 for (auto *V : VL) {
3678 // If all users of instruction are going to be vectorized and this
3679 // instruction itself is not going to be vectorized, consider this
3680 // instruction as dead and remove its cost from the final cost of the
3681 // vectorized tree.
3682 if (!areAllUsersVectorized(cast<Instruction>(V), VectorizedVals) ||
3683 (IsGather && ScalarToTreeEntry.count(V)))
3684 continue;
3685 auto *EE = cast<ExtractElementInst>(V);
3686 unsigned Idx = *getExtractIndex(EE);
3687 if (TTIRef.getNumberOfParts(VecTy) !=
3688 TTIRef.getNumberOfParts(EE->getVectorOperandType())) {
3689 auto It =
3690 ExtractVectorsTys.try_emplace(EE->getVectorOperand(), Idx).first;
3691 It->getSecond() = std::min<int>(It->second, Idx);
3692 }
3693 // Take credit for instruction that will become dead.
3694 if (EE->hasOneUse()) {
3695 Instruction *Ext = EE->user_back();
3696 if ((isa<SExtInst>(Ext) || isa<ZExtInst>(Ext)) &&
3697 all_of(Ext->users(),
3698 [](User *U) { return isa<GetElementPtrInst>(U); })) {
3699 // Use getExtractWithExtendCost() to calculate the cost of
3700 // extractelement/ext pair.
3701 Cost -=
3702 TTIRef.getExtractWithExtendCost(Ext->getOpcode(), Ext->getType(),
3703 EE->getVectorOperandType(), Idx);
3704 // Add back the cost of s|zext which is subtracted separately.
3705 Cost += TTIRef.getCastInstrCost(
3706 Ext->getOpcode(), Ext->getType(), EE->getType(),
3707 TTI::getCastContextHint(Ext), CostKind, Ext);
3708 continue;
3709 }
3710 }
3711 Cost -= TTIRef.getVectorInstrCost(Instruction::ExtractElement,
3712 EE->getVectorOperandType(), Idx);
3713 }
3714 // Add a cost for subvector extracts/inserts if required.
3715 for (const auto &Data : ExtractVectorsTys) {
3716 auto *EEVTy = cast<FixedVectorType>(Data.first->getType());
3717 unsigned NumElts = VecTy->getNumElements();
3718 if (TTIRef.getNumberOfParts(EEVTy) > TTIRef.getNumberOfParts(VecTy)) {
3719 unsigned Idx = (Data.second / NumElts) * NumElts;
3720 unsigned EENumElts = EEVTy->getNumElements();
3721 if (Idx + NumElts <= EENumElts) {
3722 Cost +=
3723 TTIRef.getShuffleCost(TargetTransformInfo::SK_ExtractSubvector,
3724 EEVTy, None, Idx, VecTy);
3725 } else {
3726 // Need to round up the subvector type vectorization factor to avoid a
3727 // crash in cost model functions. Make SubVT so that Idx + VF of SubVT
3728 // <= EENumElts.
3729 auto *SubVT =
3730 FixedVectorType::get(VecTy->getElementType(), EENumElts - Idx);
3731 Cost +=
3732 TTIRef.getShuffleCost(TargetTransformInfo::SK_ExtractSubvector,
3733 EEVTy, None, Idx, SubVT);
3734 }
3735 } else {
3736 Cost += TTIRef.getShuffleCost(TargetTransformInfo::SK_InsertSubvector,
3737 VecTy, None, 0, EEVTy);
3738 }
3739 }
3740 };
3741 if (E->State == TreeEntry::NeedToGather) {
3742 if (allConstant(VL))
3743 return 0;
3744 if (isa<InsertElementInst>(VL[0]))
3745 return InstructionCost::getInvalid();
3746 SmallVector<int> Mask;
3747 SmallVector<const TreeEntry *> Entries;
3748 Optional<TargetTransformInfo::ShuffleKind> Shuffle =
3749 isGatherShuffledEntry(E, Mask, Entries);
3750 if (Shuffle.hasValue()) {
3751 InstructionCost GatherCost = 0;
3752 if (ShuffleVectorInst::isIdentityMask(Mask)) {
3753 // Perfect match in the graph, will reuse the previously vectorized
3754 // node. Cost is 0.
3755 LLVM_DEBUG(do { } while (false)
3756 dbgs()do { } while (false)
3757 << "SLP: perfect diamond match for gather bundle that starts with "do { } while (false)
3758 << *VL.front() << ".\n")do { } while (false);
3759 if (NeedToShuffleReuses)
3760 GatherCost =
3761 TTI->getShuffleCost(TargetTransformInfo::SK_PermuteSingleSrc,
3762 FinalVecTy, E->ReuseShuffleIndices);
3763 } else {
3764 LLVM_DEBUG(dbgs() << "SLP: shuffled " << Entries.size()do { } while (false)
3765 << " entries for bundle that starts with "do { } while (false)
3766 << *VL.front() << ".\n")do { } while (false);
3767 // Detected that instead of gather we can emit a shuffle of single/two
3768 // previously vectorized nodes. Add the cost of the permutation rather
3769 // than gather.
3770 ::addMask(Mask, E->ReuseShuffleIndices);
3771 GatherCost = TTI->getShuffleCost(*Shuffle, FinalVecTy, Mask);
3772 }
3773 return GatherCost;
3774 }
3775 if (isSplat(VL)) {
3776 // Found the broadcasting of the single scalar, calculate the cost as the
3777 // broadcast.
3778 return TTI->getShuffleCost(TargetTransformInfo::SK_Broadcast, VecTy);
3779 }
3780 if (E->getOpcode() == Instruction::ExtractElement && allSameType(VL) &&
3781 allSameBlock(VL) &&
3782 !isa<ScalableVectorType>(
3783 cast<ExtractElementInst>(E->getMainOp())->getVectorOperandType())) {
3784 // Check that gather of extractelements can be represented as just a
3785 // shuffle of a single/two vectors the scalars are extracted from.
3786 SmallVector<int> Mask;
3787 Optional<TargetTransformInfo::ShuffleKind> ShuffleKind =
3788 isShuffle(VL, Mask);
3789 if (ShuffleKind.hasValue()) {
3790 // Found the bunch of extractelement instructions that must be gathered
3791 // into a vector and can be represented as a permutation elements in a
3792 // single input vector or of 2 input vectors.
3793 InstructionCost Cost =
3794 computeExtractCost(VL, VecTy, *ShuffleKind, Mask, *TTI);
3795 AdjustExtractsCost(Cost, /*IsGather=*/true);
3796 if (NeedToShuffleReuses)
3797 Cost += TTI->getShuffleCost(TargetTransformInfo::SK_PermuteSingleSrc,
3798 FinalVecTy, E->ReuseShuffleIndices);
3799 return Cost;
3800 }
3801 }
3802 InstructionCost ReuseShuffleCost = 0;
3803 if (NeedToShuffleReuses)
3804 ReuseShuffleCost = TTI->getShuffleCost(
3805 TTI::SK_PermuteSingleSrc, FinalVecTy, E->ReuseShuffleIndices);
3806 return ReuseShuffleCost + getGatherCost(VL);
3807 }
3808 InstructionCost CommonCost = 0;
3809 SmallVector<int> Mask;
3810 if (!E->ReorderIndices.empty()) {
3811 SmallVector<int> NewMask;
3812 if (E->getOpcode() == Instruction::Store) {
3813 // For stores the order is actually a mask.
3814 NewMask.resize(E->ReorderIndices.size());
3815 copy(E->ReorderIndices, NewMask.begin());
3816 } else {
3817 inversePermutation(E->ReorderIndices, NewMask);
3818 }
3819 ::addMask(Mask, NewMask);
3820 }
3821 if (NeedToShuffleReuses)
3822 ::addMask(Mask, E->ReuseShuffleIndices);
3823 if (!Mask.empty() && !ShuffleVectorInst::isIdentityMask(Mask))
3824 CommonCost =
3825 TTI->getShuffleCost(TTI::SK_PermuteSingleSrc, FinalVecTy, Mask);
3826 assert((E->State == TreeEntry::Vectorize ||(static_cast<void> (0))
3827 E->State == TreeEntry::ScatterVectorize) &&(static_cast<void> (0))
3828 "Unhandled state")(static_cast<void> (0));
3829 assert(E->getOpcode() && allSameType(VL) && allSameBlock(VL) && "Invalid VL")(static_cast<void> (0));
3830 Instruction *VL0 = E->getMainOp();
3831 unsigned ShuffleOrOp =
3832 E->isAltShuffle() ? (unsigned)Instruction::ShuffleVector : E->getOpcode();
3833 switch (ShuffleOrOp) {
3834 case Instruction::PHI:
3835 return 0;
3836
3837 case Instruction::ExtractValue:
3838 case Instruction::ExtractElement: {
3839 // The common cost of removal ExtractElement/ExtractValue instructions +
3840 // the cost of shuffles, if required to resuffle the original vector.
3841 if (NeedToShuffleReuses) {
3842 unsigned Idx = 0;
3843 for (unsigned I : E->ReuseShuffleIndices) {
3844 if (ShuffleOrOp == Instruction::ExtractElement) {
3845 auto *EE = cast<ExtractElementInst>(VL[I]);
3846 CommonCost -= TTI->getVectorInstrCost(Instruction::ExtractElement,
3847 EE->getVectorOperandType(),
3848 *getExtractIndex(EE));
3849 } else {
3850 CommonCost -= TTI->getVectorInstrCost(Instruction::ExtractElement,
3851 VecTy, Idx);
3852 ++Idx;
3853 }
3854 }
3855 Idx = ReuseShuffleNumbers;
3856 for (Value *V : VL) {
3857 if (ShuffleOrOp == Instruction::ExtractElement) {
3858 auto *EE = cast<ExtractElementInst>(V);
3859 CommonCost += TTI->getVectorInstrCost(Instruction::ExtractElement,
3860 EE->getVectorOperandType(),
3861 *getExtractIndex(EE));
3862 } else {
3863 --Idx;
3864 CommonCost += TTI->getVectorInstrCost(Instruction::ExtractElement,
3865 VecTy, Idx);
3866 }
3867 }
3868 }
3869 if (ShuffleOrOp == Instruction::ExtractValue) {
3870 for (unsigned I = 0, E = VL.size(); I < E; ++I) {
3871 auto *EI = cast<Instruction>(VL[I]);
3872 // Take credit for instruction that will become dead.
3873 if (EI->hasOneUse()) {
3874 Instruction *Ext = EI->user_back();
3875 if ((isa<SExtInst>(Ext) || isa<ZExtInst>(Ext)) &&
3876 all_of(Ext->users(),
3877 [](User *U) { return isa<GetElementPtrInst>(U); })) {
3878 // Use getExtractWithExtendCost() to calculate the cost of
3879 // extractelement/ext pair.
3880 CommonCost -= TTI->getExtractWithExtendCost(
3881 Ext->getOpcode(), Ext->getType(), VecTy, I);
3882 // Add back the cost of s|zext which is subtracted separately.
3883 CommonCost += TTI->getCastInstrCost(
3884 Ext->getOpcode(), Ext->getType(), EI->getType(),
3885 TTI::getCastContextHint(Ext), CostKind, Ext);
3886 continue;
3887 }
3888 }
3889 CommonCost -=
3890 TTI->getVectorInstrCost(Instruction::ExtractElement, VecTy, I);
3891 }
3892 } else {
3893 AdjustExtractsCost(CommonCost, /*IsGather=*/false);
3894 }
3895 return CommonCost;
3896 }
3897 case Instruction::InsertElement: {
3898 auto *SrcVecTy = cast<FixedVectorType>(VL0->getType());
3899
3900 unsigned const NumElts = SrcVecTy->getNumElements();
3901 unsigned const NumScalars = VL.size();
3902 APInt DemandedElts = APInt::getNullValue(NumElts);
3903 // TODO: Add support for Instruction::InsertValue.
3904 unsigned Offset = UINT_MAX(2147483647 *2U +1U);
3905 bool IsIdentity = true;
3906 SmallVector<int> ShuffleMask(NumElts, UndefMaskElem);
3907 for (unsigned I = 0; I < NumScalars; ++I) {
3908 Optional<int> InsertIdx = getInsertIndex(VL[I], 0);
3909 if (!InsertIdx || *InsertIdx == UndefMaskElem)
3910 continue;
3911 unsigned Idx = *InsertIdx;
3912 DemandedElts.setBit(Idx);
3913 if (Idx < Offset) {
3914 Offset = Idx;
3915 IsIdentity &= I == 0;
3916 } else {
3917 assert(Idx >= Offset && "Failed to find vector index offset")(static_cast<void> (0));
3918 IsIdentity &= Idx - Offset == I;
3919 }
3920 ShuffleMask[Idx] = I;
3921 }
3922 assert(Offset < NumElts && "Failed to find vector index offset")(static_cast<void> (0));
3923
3924 InstructionCost Cost = 0;
3925 Cost -= TTI->getScalarizationOverhead(SrcVecTy, DemandedElts,
3926 /*Insert*/ true, /*Extract*/ false);
3927
3928 if (IsIdentity && NumElts != NumScalars && Offset % NumScalars != 0) {
3929 // FIXME: Replace with SK_InsertSubvector once it is properly supported.
3930 unsigned Sz = PowerOf2Ceil(Offset + NumScalars);
3931 Cost += TTI->getShuffleCost(
3932 TargetTransformInfo::SK_PermuteSingleSrc,
3933 FixedVectorType::get(SrcVecTy->getElementType(), Sz));
3934 } else if (!IsIdentity) {
3935 Cost += TTI->getShuffleCost(TTI::SK_PermuteSingleSrc, SrcVecTy,
3936 ShuffleMask);
3937 }
3938
3939 return Cost;
3940 }
3941 case Instruction::ZExt:
3942 case Instruction::SExt:
3943 case Instruction::FPToUI:
3944 case Instruction::FPToSI:
3945 case Instruction::FPExt:
3946 case Instruction::PtrToInt:
3947 case Instruction::IntToPtr:
3948 case Instruction::SIToFP:
3949 case Instruction::UIToFP:
3950 case Instruction::Trunc:
3951 case Instruction::FPTrunc:
3952 case Instruction::BitCast: {
3953 Type *SrcTy = VL0->getOperand(0)->getType();
3954 InstructionCost ScalarEltCost =
3955 TTI->getCastInstrCost(E->getOpcode(), ScalarTy, SrcTy,
3956 TTI::getCastContextHint(VL0), CostKind, VL0);
3957 if (NeedToShuffleReuses) {
3958 CommonCost -= (ReuseShuffleNumbers - VL.size()) * ScalarEltCost;
3959 }
3960
3961 // Calculate the cost of this instruction.
3962 InstructionCost ScalarCost = VL.size() * ScalarEltCost;
3963
3964 auto *SrcVecTy = FixedVectorType::get(SrcTy, VL.size());
3965 InstructionCost VecCost = 0;
3966 // Check if the values are candidates to demote.
3967 if (!MinBWs.count(VL0) || VecTy != SrcVecTy) {
3968 VecCost = CommonCost + TTI->getCastInstrCost(
3969 E->getOpcode(), VecTy, SrcVecTy,
3970 TTI::getCastContextHint(VL0), CostKind, VL0);
3971 }
3972 LLVM_DEBUG(dumpTreeCosts(E, CommonCost, VecCost, ScalarCost))do { } while (false);
3973 return VecCost - ScalarCost;
3974 }
3975 case Instruction::FCmp:
3976 case Instruction::ICmp:
3977 case Instruction::Select: {
3978 // Calculate the cost of this instruction.
3979 InstructionCost ScalarEltCost =
3980 TTI->getCmpSelInstrCost(E->getOpcode(), ScalarTy, Builder.getInt1Ty(),
3981 CmpInst::BAD_ICMP_PREDICATE, CostKind, VL0);
3982 if (NeedToShuffleReuses) {
3983 CommonCost -= (ReuseShuffleNumbers - VL.size()) * ScalarEltCost;
3984 }
3985 auto *MaskTy = FixedVectorType::get(Builder.getInt1Ty(), VL.size());
3986 InstructionCost ScalarCost = VecTy->getNumElements() * ScalarEltCost;
3987
3988 // Check if all entries in VL are either compares or selects with compares
3989 // as condition that have the same predicates.
3990 CmpInst::Predicate VecPred = CmpInst::BAD_ICMP_PREDICATE;
3991 bool First = true;
3992 for (auto *V : VL) {
3993 CmpInst::Predicate CurrentPred;
3994 auto MatchCmp = m_Cmp(CurrentPred, m_Value(), m_Value());
3995 if ((!match(V, m_Select(MatchCmp, m_Value(), m_Value())) &&
3996 !match(V, MatchCmp)) ||
3997 (!First && VecPred != CurrentPred)) {
3998 VecPred = CmpInst::BAD_ICMP_PREDICATE;
3999 break;
4000 }
4001 First = false;
4002 VecPred = CurrentPred;
4003 }
4004
4005 InstructionCost VecCost = TTI->getCmpSelInstrCost(
4006 E->getOpcode(), VecTy, MaskTy, VecPred, CostKind, VL0);
4007 // Check if it is possible and profitable to use min/max for selects in
4008 // VL.
4009 //
4010 auto IntrinsicAndUse = canConvertToMinOrMaxIntrinsic(VL);
4011 if (IntrinsicAndUse.first != Intrinsic::not_intrinsic) {
4012 IntrinsicCostAttributes CostAttrs(IntrinsicAndUse.first, VecTy,
4013 {VecTy, VecTy});
4014 InstructionCost IntrinsicCost =
4015 TTI->getIntrinsicInstrCost(CostAttrs, CostKind);
4016 // If the selects are the only uses of the compares, they will be dead
4017 // and we can adjust the cost by removing their cost.
4018 if (IntrinsicAndUse.second)
4019 IntrinsicCost -=
4020 TTI->getCmpSelInstrCost(Instruction::ICmp, VecTy, MaskTy,
4021 CmpInst::BAD_ICMP_PREDICATE, CostKind);
4022 VecCost = std::min(VecCost, IntrinsicCost);
4023 }
4024 LLVM_DEBUG(dumpTreeCosts(E, CommonCost, VecCost, ScalarCost))do { } while (false);
4025 return CommonCost + VecCost - ScalarCost;
4026 }
4027 case Instruction::FNeg:
4028 case Instruction::Add:
4029 case Instruction::FAdd:
4030 case Instruction::Sub:
4031 case Instruction::FSub:
4032 case Instruction::Mul:
4033 case Instruction::FMul:
4034 case Instruction::UDiv:
4035 case Instruction::SDiv:
4036 case Instruction::FDiv:
4037 case Instruction::URem:
4038 case Instruction::SRem:
4039 case Instruction::FRem:
4040 case Instruction::Shl:
4041 case Instruction::LShr:
4042 case Instruction::AShr:
4043 case Instruction::And:
4044 case Instruction::Or:
4045 case Instruction::Xor: {
4046 // Certain instructions can be cheaper to vectorize if they have a
4047 // constant second vector operand.
4048 TargetTransformInfo::OperandValueKind Op1VK =
4049 TargetTransformInfo::OK_AnyValue;
4050 TargetTransformInfo::OperandValueKind Op2VK =
4051 TargetTransformInfo::OK_UniformConstantValue;
4052 TargetTransformInfo::OperandValueProperties Op1VP =
4053 TargetTransformInfo::OP_None;
4054 TargetTransformInfo::OperandValueProperties Op2VP =
4055 TargetTransformInfo::OP_PowerOf2;
4056
4057 // If all operands are exactly the same ConstantInt then set the
4058 // operand kind to OK_UniformConstantValue.
4059 // If instead not all operands are constants, then set the operand kind
4060 // to OK_AnyValue. If all operands are constants but not the same,
4061 // then set the operand kind to OK_NonUniformConstantValue.
4062 ConstantInt *CInt0 = nullptr;
4063 for (unsigned i = 0, e = VL.size(); i < e; ++i) {
4064 const Instruction *I = cast<Instruction>(VL[i]);
4065 unsigned OpIdx = isa<BinaryOperator>(I) ? 1 : 0;
4066 ConstantInt *CInt = dyn_cast<ConstantInt>(I->getOperand(OpIdx));
4067 if (!CInt) {
4068 Op2VK = TargetTransformInfo::OK_AnyValue;
4069 Op2VP = TargetTransformInfo::OP_None;
4070 break;
4071 }
4072 if (Op2VP == TargetTransformInfo::OP_PowerOf2 &&
4073 !CInt->getValue().isPowerOf2())
4074 Op2VP = TargetTransformInfo::OP_None;
4075 if (i == 0) {
4076 CInt0 = CInt;
4077 continue;
4078 }
4079 if (CInt0 != CInt)
4080 Op2VK = TargetTransformInfo::OK_NonUniformConstantValue;
4081 }
4082
4083 SmallVector<const Value *, 4> Operands(VL0->operand_values());
4084 InstructionCost ScalarEltCost =
4085 TTI->getArithmeticInstrCost(E->getOpcode(), ScalarTy, CostKind, Op1VK,
4086 Op2VK, Op1VP, Op2VP, Operands, VL0);
4087 if (NeedToShuffleReuses) {
4088 CommonCost -= (ReuseShuffleNumbers - VL.size()) * ScalarEltCost;
4089 }
4090 InstructionCost ScalarCost = VecTy->getNumElements() * ScalarEltCost;
4091 InstructionCost VecCost =
4092 TTI->getArithmeticInstrCost(E->getOpcode(), VecTy, CostKind, Op1VK,
4093 Op2VK, Op1VP, Op2VP, Operands, VL0);
4094 LLVM_DEBUG(dumpTreeCosts(E, CommonCost, VecCost, ScalarCost))do { } while (false);
4095 return CommonCost + VecCost - ScalarCost;
4096 }
4097 case Instruction::GetElementPtr: {
4098 TargetTransformInfo::OperandValueKind Op1VK =
4099 TargetTransformInfo::OK_AnyValue;
4100 TargetTransformInfo::OperandValueKind Op2VK =
4101 TargetTransformInfo::OK_UniformConstantValue;
4102
4103 InstructionCost ScalarEltCost = TTI->getArithmeticInstrCost(
4104 Instruction::Add, ScalarTy, CostKind, Op1VK, Op2VK);
4105 if (NeedToShuffleReuses) {
4106 CommonCost -= (ReuseShuffleNumbers - VL.size()) * ScalarEltCost;
4107 }
4108 InstructionCost ScalarCost = VecTy->getNumElements() * ScalarEltCost;
4109 InstructionCost VecCost = TTI->getArithmeticInstrCost(
4110 Instruction::Add, VecTy, CostKind, Op1VK, Op2VK);
4111 LLVM_DEBUG(dumpTreeCosts(E, CommonCost, VecCost, ScalarCost))do { } while (false);
4112 return CommonCost + VecCost - ScalarCost;
4113 }
4114 case Instruction::Load: {
4115 // Cost of wide load - cost of scalar loads.
4116 Align Alignment = cast<LoadInst>(VL0)->getAlign();
4117 InstructionCost ScalarEltCost = TTI->getMemoryOpCost(
4118 Instruction::Load, ScalarTy, Alignment, 0, CostKind, VL0);
4119 if (NeedToShuffleReuses) {
4120 CommonCost -= (ReuseShuffleNumbers - VL.size()) * ScalarEltCost;
4121 }
4122 InstructionCost ScalarLdCost = VecTy->getNumElements() * ScalarEltCost;
4123 InstructionCost VecLdCost;
4124 if (E->State == TreeEntry::Vectorize) {
4125 VecLdCost = TTI->getMemoryOpCost(Instruction::Load, VecTy, Alignment, 0,
4126 CostKind, VL0);
4127 } else {
4128 assert(E->State == TreeEntry::ScatterVectorize && "Unknown EntryState")(static_cast<void> (0));
4129 Align CommonAlignment = Alignment;
4130 for (Value *V : VL)
4131 CommonAlignment =
4132 commonAlignment(CommonAlignment, cast<LoadInst>(V)->getAlign());
4133 VecLdCost = TTI->getGatherScatterOpCost(
4134 Instruction::Load, VecTy, cast<LoadInst>(VL0)->getPointerOperand(),
4135 /*VariableMask=*/false, CommonAlignment, CostKind, VL0);
4136 }
4137 LLVM_DEBUG(dumpTreeCosts(E, CommonCost, VecLdCost, ScalarLdCost))do { } while (false);
4138 return CommonCost + VecLdCost - ScalarLdCost;
4139 }
4140 case Instruction::Store: {
4141 // We know that we can merge the stores. Calculate the cost.
4142 bool IsReorder = !E->ReorderIndices.empty();
4143 auto *SI =
4144 cast<StoreInst>(IsReorder ? VL[E->ReorderIndices.front()] : VL0);
4145 Align Alignment = SI->getAlign();
4146 InstructionCost ScalarEltCost = TTI->getMemoryOpCost(
4147 Instruction::Store, ScalarTy, Alignment, 0, CostKind, VL0);
4148 InstructionCost ScalarStCost = VecTy->getNumElements() * ScalarEltCost;
4149 InstructionCost VecStCost = TTI->getMemoryOpCost(
4150 Instruction::Store, VecTy, Alignment, 0, CostKind, VL0);
4151 LLVM_DEBUG(dumpTreeCosts(E, CommonCost, VecStCost, ScalarStCost))do { } while (false);
4152 return CommonCost + VecStCost - ScalarStCost;
4153 }
4154 case Instruction::Call: {
4155 CallInst *CI = cast<CallInst>(VL0);
4156 Intrinsic::ID ID = getVectorIntrinsicIDForCall(CI, TLI);
4157
4158 // Calculate the cost of the scalar and vector calls.
4159 IntrinsicCostAttributes CostAttrs(ID, *CI, 1);
4160 InstructionCost ScalarEltCost =
4161 TTI->getIntrinsicInstrCost(CostAttrs, CostKind);
4162 if (NeedToShuffleReuses) {
4163 CommonCost -= (ReuseShuffleNumbers - VL.size()) * ScalarEltCost;
4164 }
4165 InstructionCost ScalarCallCost = VecTy->getNumElements() * ScalarEltCost;
4166
4167 auto VecCallCosts = getVectorCallCosts(CI, VecTy, TTI, TLI);
4168 InstructionCost VecCallCost =
4169 std::min(VecCallCosts.first, VecCallCosts.second);
4170
4171 LLVM_DEBUG(dbgs() << "SLP: Call cost " << VecCallCost - ScalarCallCostdo { } while (false)
4172 << " (" << VecCallCost << "-" << ScalarCallCost << ")"do { } while (false)
4173 << " for " << *CI << "\n")do { } while (false);
4174
4175 return CommonCost + VecCallCost - ScalarCallCost;
4176 }
4177 case Instruction::ShuffleVector: {
4178 assert(E->isAltShuffle() &&(static_cast<void> (0))
4179 ((Instruction::isBinaryOp(E->getOpcode()) &&(static_cast<void> (0))
4180 Instruction::isBinaryOp(E->getAltOpcode())) ||(static_cast<void> (0))
4181 (Instruction::isCast(E->getOpcode()) &&(static_cast<void> (0))
4182 Instruction::isCast(E->getAltOpcode()))) &&(static_cast<void> (0))
4183 "Invalid Shuffle Vector Operand")(static_cast<void> (0));
4184 InstructionCost ScalarCost = 0;
4185 if (NeedToShuffleReuses) {
4186 for (unsigned Idx : E->ReuseShuffleIndices) {
4187 Instruction *I = cast<Instruction>(VL[Idx]);
4188 CommonCost -= TTI->getInstructionCost(I, CostKind);
4189 }
4190 for (Value *V : VL) {
4191 Instruction *I = cast<Instruction>(V);
4192 CommonCost += TTI->getInstructionCost(I, CostKind);
4193 }
4194 }
4195 for (Value *V : VL) {
4196 Instruction *I = cast<Instruction>(V);
4197 assert(E->isOpcodeOrAlt(I) && "Unexpected main/alternate opcode")(static_cast<void> (0));
4198 ScalarCost += TTI->getInstructionCost(I, CostKind);
4199 }
4200 // VecCost is equal to sum of the cost of creating 2 vectors
4201 // and the cost of creating shuffle.
4202 InstructionCost VecCost = 0;
4203 if (Instruction::isBinaryOp(E->getOpcode())) {
4204 VecCost = TTI->getArithmeticInstrCost(E->getOpcode(), VecTy, CostKind);
4205 VecCost += TTI->getArithmeticInstrCost(E->getAltOpcode(), VecTy,
4206 CostKind);
4207 } else {
4208 Type *Src0SclTy = E->getMainOp()->getOperand(0)->getType();
4209 Type *Src1SclTy = E->getAltOp()->getOperand(0)->getType();
4210 auto *Src0Ty = FixedVectorType::get(Src0SclTy, VL.size());
4211 auto *Src1Ty = FixedVectorType::get(Src1SclTy, VL.size());
4212 VecCost = TTI->getCastInstrCost(E->getOpcode(), VecTy, Src0Ty,
4213 TTI::CastContextHint::None, CostKind);
4214 VecCost += TTI->getCastInstrCost(E->getAltOpcode(), VecTy, Src1Ty,
4215 TTI::CastContextHint::None, CostKind);
4216 }
4217
4218 SmallVector<int> Mask(E->Scalars.size());
4219 for (unsigned I = 0, End = E->Scalars.size(); I < End; ++I) {
4220 auto *OpInst = cast<Instruction>(E->Scalars[I]);
4221 assert(E->isOpcodeOrAlt(OpInst) && "Unexpected main/alternate opcode")(static_cast<void> (0));
4222 Mask[I] = I + (OpInst->getOpcode() == E->getAltOpcode() ? End : 0);
4223 }
4224 VecCost +=
4225 TTI->getShuffleCost(TargetTransformInfo::SK_Select, VecTy, Mask, 0);
4226 LLVM_DEBUG(dumpTreeCosts(E, CommonCost, VecCost, ScalarCost))do { } while (false);
4227 return CommonCost + VecCost - ScalarCost;
4228 }
4229 default:
4230 llvm_unreachable("Unknown instruction")__builtin_unreachable();
4231 }
4232}
4233
4234bool BoUpSLP::isFullyVectorizableTinyTree() const {
4235 LLVM_DEBUG(dbgs() << "SLP: Check whether the tree with height "do { } while (false)
4236 << VectorizableTree.size() << " is fully vectorizable .\n")do { } while (false);
4237
4238 // We only handle trees of heights 1 and 2.
4239 if (VectorizableTree.size() == 1 &&
4240 VectorizableTree[0]->State == TreeEntry::Vectorize)
4241 return true;
4242
4243 if (VectorizableTree.size() != 2)
4244 return false;
4245
4246 // Handle splat and all-constants stores. Also try to vectorize tiny trees
4247 // with the second gather nodes if they have less scalar operands rather than
4248 // the initial tree element (may be profitable to shuffle the second gather)
4249 // or they are extractelements, which form shuffle.
4250 SmallVector<int> Mask;
4251 if (VectorizableTree[0]->State == TreeEntry::Vectorize &&
4252 (allConstant(VectorizableTree[1]->Scalars) ||
4253 isSplat(VectorizableTree[1]->Scalars) ||
4254 (VectorizableTree[1]->State == TreeEntry::NeedToGather &&
4255 VectorizableTree[1]->Scalars.size() <
4256 VectorizableTree[0]->Scalars.size()) ||
4257 (VectorizableTree[1]->State == TreeEntry::NeedToGather &&
4258 VectorizableTree[1]->getOpcode() == Instruction::ExtractElement &&
4259 isShuffle(VectorizableTree[1]->Scalars, Mask))))
4260 return true;
4261
4262 // Gathering cost would be too much for tiny trees.
4263 if (VectorizableTree[0]->State == TreeEntry::NeedToGather ||
4264 VectorizableTree[1]->State == TreeEntry::NeedToGather)
4265 return false;
4266
4267 return true;
4268}
4269
4270static bool isLoadCombineCandidateImpl(Value *Root, unsigned NumElts,
4271 TargetTransformInfo *TTI,
4272 bool MustMatchOrInst) {
4273 // Look past the root to find a source value. Arbitrarily follow the
4274 // path through operand 0 of any 'or'. Also, peek through optional
4275 // shift-left-by-multiple-of-8-bits.
4276 Value *ZextLoad = Root;
4277 const APInt *ShAmtC;
4278 bool FoundOr = false;
4279 while (!isa<ConstantExpr>(ZextLoad) &&
4280 (match(ZextLoad, m_Or(m_Value(), m_Value())) ||
4281 (match(ZextLoad, m_Shl(m_Value(), m_APInt(ShAmtC))) &&
4282 ShAmtC->urem(8) == 0))) {
4283 auto *BinOp = cast<BinaryOperator>(ZextLoad);
4284 ZextLoad = BinOp->getOperand(0);
4285 if (BinOp->getOpcode() == Instruction::Or)
4286 FoundOr = true;
4287 }
4288 // Check if the input is an extended load of the required or/shift expression.
4289 Value *LoadPtr;
4290 if ((MustMatchOrInst && !FoundOr) || ZextLoad == Root ||
4291 !match(ZextLoad, m_ZExt(m_Load(m_Value(LoadPtr)))))
4292 return false;
4293
4294 // Require that the total load bit width is a legal integer type.
4295 // For example, <8 x i8> --> i64 is a legal integer on a 64-bit target.
4296 // But <16 x i8> --> i128 is not, so the backend probably can't reduce it.
4297 Type *SrcTy = LoadPtr->getType()->getPointerElementType();
4298 unsigned LoadBitWidth = SrcTy->getIntegerBitWidth() * NumElts;
4299 if (!TTI->isTypeLegal(IntegerType::get(Root->getContext(), LoadBitWidth)))
4300 return false;
4301
4302 // Everything matched - assume that we can fold the whole sequence using
4303 // load combining.
4304 LLVM_DEBUG(dbgs() << "SLP: Assume load combining for tree starting at "do { } while (false)
4305 << *(cast<Instruction>(Root)) << "\n")do { } while (false);
4306
4307 return true;
4308}
4309
4310bool BoUpSLP::isLoadCombineReductionCandidate(RecurKind RdxKind) const {
4311 if (RdxKind != RecurKind::Or)
4312 return false;
4313
4314 unsigned NumElts = VectorizableTree[0]->Scalars.size();
4315 Value *FirstReduced = VectorizableTree[0]->Scalars[0];
4316 return isLoadCombineCandidateImpl(FirstReduced, NumElts, TTI,
4317 /* MatchOr */ false);
4318}
4319
4320bool BoUpSLP::isLoadCombineCandidate() const {
4321 // Peek through a final sequence of stores and check if all operations are
4322 // likely to be load-combined.
4323 unsigned NumElts = VectorizableTree[0]->Scalars.size();
4324 for (Value *Scalar : VectorizableTree[0]->Scalars) {
4325 Value *X;
4326 if (!match(Scalar, m_Store(m_Value(X), m_Value())) ||
4327 !isLoadCombineCandidateImpl(X, NumElts, TTI, /* MatchOr */ true))
4328 return false;
4329 }
4330 return true;
4331}
4332
4333bool BoUpSLP::isTreeTinyAndNotFullyVectorizable() const {
4334 // No need to vectorize inserts of gathered values.
4335 if (VectorizableTree.size() == 2 &&
4336 isa<InsertElementInst>(VectorizableTree[0]->Scalars[0]) &&
4337 VectorizableTree[1]->State == TreeEntry::NeedToGather)
4338 return true;
4339
4340 // We can vectorize the tree if its size is greater than or equal to the
4341 // minimum size specified by the MinTreeSize command line option.
4342 if (VectorizableTree.size() >= MinTreeSize)
4343 return false;
4344
4345 // If we have a tiny tree (a tree whose size is less than MinTreeSize), we
4346 // can vectorize it if we can prove it fully vectorizable.
4347 if (isFullyVectorizableTinyTree())
4348 return false;
4349
4350 assert(VectorizableTree.empty()(static_cast<void> (0))
4351 ? ExternalUses.empty()(static_cast<void> (0))
4352 : true && "We shouldn't have any external users")(static_cast<void> (0));
4353
4354 // Otherwise, we can't vectorize the tree. It is both tiny and not fully
4355 // vectorizable.
4356 return true;
4357}
4358
4359InstructionCost BoUpSLP::getSpillCost() const {
4360 // Walk from the bottom of the tree to the top, tracking which values are
4361 // live. When we see a call instruction that is not part of our tree,
4362 // query TTI to see if there is a cost to keeping values live over it
4363 // (for example, if spills and fills are required).
4364 unsigned BundleWidth = VectorizableTree.front()->Scalars.size();
4365 InstructionCost Cost = 0;
4366
4367 SmallPtrSet<Instruction*, 4> LiveValues;
4368 Instruction *PrevInst = nullptr;
4369
4370 // The entries in VectorizableTree are not necessarily ordered by their
4371 // position in basic blocks. Collect them and order them by dominance so later
4372 // instructions are guaranteed to be visited first. For instructions in
4373 // different basic blocks, we only scan to the beginning of the block, so
4374 // their order does not matter, as long as all instructions in a basic block
4375 // are grouped together. Using dominance ensures a deterministic order.
4376 SmallVector<Instruction *, 16> OrderedScalars;
4377 for (const auto &TEPtr : VectorizableTree) {
4378 Instruction *Inst = dyn_cast<Instruction>(TEPtr->Scalars[0]);
4379 if (!Inst)
4380 continue;
4381 OrderedScalars.push_back(Inst);
4382 }
4383 llvm::sort(OrderedScalars, [&](Instruction *A, Instruction *B) {
4384 auto *NodeA = DT->getNode(A->getParent());
4385 auto *NodeB = DT->getNode(B->getParent());
4386 assert(NodeA && "Should only process reachable instructions")(static_cast<void> (0));
4387 assert(NodeB && "Should only process reachable instructions")(static_cast<void> (0));
4388 assert((NodeA == NodeB) == (NodeA->getDFSNumIn() == NodeB->getDFSNumIn()) &&(static_cast<void> (0))
4389 "Different nodes should have different DFS numbers")(static_cast<void> (0));
4390 if (NodeA != NodeB)
4391 return NodeA->getDFSNumIn() < NodeB->getDFSNumIn();
4392 return B->comesBefore(A);
4393 });
4394
4395 for (Instruction *Inst : OrderedScalars) {
4396 if (!PrevInst) {
4397 PrevInst = Inst;
4398 continue;
4399 }
4400
4401 // Update LiveValues.
4402 LiveValues.erase(PrevInst);
4403 for (auto &J : PrevInst->operands()) {
4404 if (isa<Instruction>(&*J) && getTreeEntry(&*J))
4405 LiveValues.insert(cast<Instruction>(&*J));
4406 }
4407
4408 LLVM_DEBUG({do { } while (false)
4409 dbgs() << "SLP: #LV: " << LiveValues.size();do { } while (false)
4410 for (auto *X : LiveValues)do { } while (false)
4411 dbgs() << " " << X->getName();do { } while (false)
4412 dbgs() << ", Looking at ";do { } while (false)
4413 Inst->dump();do { } while (false)
4414 })do { } while (false);
4415
4416 // Now find the sequence of instructions between PrevInst and Inst.
4417 unsigned NumCalls = 0;
4418 BasicBlock::reverse_iterator InstIt = ++Inst->getIterator().getReverse(),
4419 PrevInstIt =
4420 PrevInst->getIterator().getReverse();
4421 while (InstIt != PrevInstIt) {
4422 if (PrevInstIt == PrevInst->getParent()->rend()) {
4423 PrevInstIt = Inst->getParent()->rbegin();
4424 continue;
4425 }
4426
4427 // Debug information does not impact spill cost.
4428 if ((isa<CallInst>(&*PrevInstIt) &&
4429 !isa<DbgInfoIntrinsic>(&*PrevInstIt)) &&
4430 &*PrevInstIt != PrevInst)
4431 NumCalls++;
4432
4433 ++PrevInstIt;
4434 }
4435
4436 if (NumCalls) {
4437 SmallVector<Type*, 4> V;
4438 for (auto *II : LiveValues) {
4439 auto *ScalarTy = II->getType();
4440 if (auto *VectorTy = dyn_cast<FixedVectorType>(ScalarTy))
4441 ScalarTy = VectorTy->getElementType();
4442 V.push_back(FixedVectorType::get(ScalarTy, BundleWidth));
4443 }
4444 Cost += NumCalls * TTI->getCostOfKeepingLiveOverCall(V);
4445 }
4446
4447 PrevInst = Inst;
4448 }
4449
4450 return Cost;
4451}
4452
4453InstructionCost BoUpSLP::getTreeCost(ArrayRef<Value *> VectorizedVals) {
4454 InstructionCost Cost = 0;
4455 LLVM_DEBUG(dbgs() << "SLP: Calculating cost for tree of size "do { } while (false)
4456 << VectorizableTree.size() << ".\n")do { } while (false);
4457
4458 unsigned BundleWidth = VectorizableTree[0]->Scalars.size();
4459
4460 for (unsigned I = 0, E = VectorizableTree.size(); I < E; ++I) {
4461 TreeEntry &TE = *VectorizableTree[I].get();
4462
4463 InstructionCost C = getEntryCost(&TE, VectorizedVals);
4464 Cost += C;
4465 LLVM_DEBUG(dbgs() << "SLP: Adding cost " << Cdo { } while (false)
4466 << " for bundle that starts with " << *TE.Scalars[0]do { } while (false)
4467 << ".\n"do { } while (false)
4468 << "SLP: Current total cost = " << Cost << "\n")do { } while (false);
4469 }
4470
4471 SmallPtrSet<Value *, 16> ExtractCostCalculated;
4472 InstructionCost ExtractCost = 0;
4473 SmallVector<unsigned> VF;
4474 SmallVector<SmallVector<int>> ShuffleMask;
4475 SmallVector<Value *> FirstUsers;
4476 SmallVector<APInt> DemandedElts;
4477 for (ExternalUser &EU : ExternalUses) {
4478 // We only add extract cost once for the same scalar.
4479 if (!ExtractCostCalculated.insert(EU.Scalar).second)
4480 continue;
4481
4482 // Uses by ephemeral values are free (because the ephemeral value will be
4483 // removed prior to code generation, and so the extraction will be
4484 // removed as well).
4485 if (EphValues.count(EU.User))
4486 continue;
4487
4488 // No extract cost for vector "scalar"
4489 if (isa<FixedVectorType>(EU.Scalar->getType()))
4490 continue;
4491
4492 // Already counted the cost for external uses when tried to adjust the cost
4493 // for extractelements, no need to add it again.
4494 if (isa<ExtractElementInst>(EU.Scalar))
4495 continue;
4496
4497 // If found user is an insertelement, do not calculate extract cost but try
4498 // to detect it as a final shuffled/identity match.
4499 if (EU.User && isa<InsertElementInst>(EU.User)) {
4500 if (auto *FTy = dyn_cast<FixedVectorType>(EU.User->getType())) {
4501 Optional<int> InsertIdx = getInsertIndex(EU.User, 0);
4502 if (!InsertIdx || *InsertIdx == UndefMaskElem)
4503 continue;
4504 Value *VU = EU.User;
4505 auto *It = find_if(FirstUsers, [VU](Value *V) {
4506 // Checks if 2 insertelements are from the same buildvector.
4507 if (VU->getType() != V->getType())
4508 return false;
4509 auto *IE1 = cast<InsertElementInst>(VU);
4510 auto *IE2 = cast<InsertElementInst>(V);
4511 // Go though of insertelement instructions trying to find either VU as
4512 // the original vector for IE2 or V as the original vector for IE1.
4513 do {
4514 if (IE1 == VU || IE2 == V)
4515 return true;
4516 if (IE1)
4517 IE1 = dyn_cast<InsertElementInst>(IE1->getOperand(0));
4518 if (IE2)
4519 IE2 = dyn_cast<InsertElementInst>(IE2->getOperand(0));
4520 } while (IE1 || IE2);
4521 return false;
4522 });
4523 int VecId = -1;
4524 if (It == FirstUsers.end()) {
4525 VF.push_back(FTy->getNumElements());
4526 ShuffleMask.emplace_back(VF.back(), UndefMaskElem);
4527 FirstUsers.push_back(EU.User);
4528 DemandedElts.push_back(APInt::getNullValue(VF.back()));
4529 VecId = FirstUsers.size() - 1;
4530 } else {
4531 VecId = std::distance(FirstUsers.begin(), It);
4532 }
4533 int Idx = *InsertIdx;
4534 ShuffleMask[VecId][Idx] = EU.Lane;
4535 DemandedElts[VecId].setBit(Idx);
4536 }
4537 }
4538
4539 // If we plan to rewrite the tree in a smaller type, we will need to sign
4540 // extend the extracted value back to the original type. Here, we account
4541 // for the extract and the added cost of the sign extend if needed.
4542 auto *VecTy = FixedVectorType::get(EU.Scalar->getType(), BundleWidth);
4543 auto *ScalarRoot = VectorizableTree[0]->Scalars[0];
4544 if (MinBWs.count(ScalarRoot)) {
4545 auto *MinTy = IntegerType::get(F->getContext(), MinBWs[ScalarRoot].first);
4546 auto Extend =
4547 MinBWs[ScalarRoot].second ? Instruction::SExt : Instruction::ZExt;
4548 VecTy = FixedVectorType::get(MinTy, BundleWidth);
4549 ExtractCost += TTI->getExtractWithExtendCost(Extend, EU.Scalar->getType(),
4550 VecTy, EU.Lane);
4551 } else {
4552 ExtractCost +=
4553 TTI->getVectorInstrCost(Instruction::ExtractElement, VecTy, EU.Lane);
4554 }
4555 }
4556
4557 InstructionCost SpillCost = getSpillCost();
4558 Cost += SpillCost + ExtractCost;
4559 for (int I = 0, E = FirstUsers.size(); I < E; ++I) {
4560 // For the very first element - simple shuffle of the source vector.
4561 int Limit = ShuffleMask[I].size() * 2;
4562 if (I == 0 &&
4563 all_of(ShuffleMask[I], [Limit](int Idx) { return Idx < Limit; }) &&
4564 !ShuffleVectorInst::isIdentityMask(ShuffleMask[I])) {
4565 InstructionCost C = TTI->getShuffleCost(
4566 TTI::SK_PermuteSingleSrc,
4567 cast<FixedVectorType>(FirstUsers[I]->getType()), ShuffleMask[I]);
4568 LLVM_DEBUG(dbgs() << "SLP: Adding cost " << Cdo { } while (false)
4569 << " for final shuffle of insertelement external users "do { } while (false)
4570 << *VectorizableTree.front()->Scalars.front() << ".\n"do { } while (false)
4571 << "SLP: Current total cost = " << Cost << "\n")do { } while (false);
4572 Cost += C;
4573 continue;
4574 }
4575 // Other elements - permutation of 2 vectors (the initial one and the next
4576 // Ith incoming vector).
4577 unsigned VF = ShuffleMask[I].size();
4578 for (unsigned Idx = 0; Idx < VF; ++Idx) {
4579 int &Mask = ShuffleMask[I][Idx];
4580 Mask = Mask == UndefMaskElem ? Idx : VF + Mask;
4581 }
4582 InstructionCost C = TTI->getShuffleCost(
4583 TTI::SK_PermuteTwoSrc, cast<FixedVectorType>(FirstUsers[I]->getType()),
4584 ShuffleMask[I]);
4585 LLVM_DEBUG(do { } while (false)
4586 dbgs()do { } while (false)
4587 << "SLP: Adding cost " << Cdo { } while (false)
4588 << " for final shuffle of vector node and external insertelement users "do { } while (false)
4589 << *VectorizableTree.front()->Scalars.front() << ".\n"do { } while (false)
4590 << "SLP: Current total cost = " << Cost << "\n")do { } while (false);
4591 Cost += C;
4592 InstructionCost InsertCost = TTI->getScalarizationOverhead(
4593 cast<FixedVectorType>(FirstUsers[I]->getType()), DemandedElts[I],
4594 /*Insert*/ true,
4595 /*Extract*/ false);
4596 Cost -= InsertCost;
4597 LLVM_DEBUG(dbgs() << "SLP: subtracting the cost " << InsertCostdo { } while (false)
4598 << " for insertelements gather.\n"do { } while (false)
4599 << "SLP: Current total cost = " << Cost << "\n")do { } while (false);
4600 }
4601
4602#ifndef NDEBUG1
4603 SmallString<256> Str;
4604 {
4605 raw_svector_ostream OS(Str);
4606 OS << "SLP: Spill Cost = " << SpillCost << ".\n"
4607 << "SLP: Extract Cost = " << ExtractCost << ".\n"
4608 << "SLP: Total Cost = " << Cost << ".\n";
4609 }
4610 LLVM_DEBUG(dbgs() << Str)do { } while (false);
4611 if (ViewSLPTree)
4612 ViewGraph(this, "SLP" + F->getName(), false, Str);
4613#endif
4614
4615 return Cost;
4616}
4617
4618Optional<TargetTransformInfo::ShuffleKind>
4619BoUpSLP::isGatherShuffledEntry(const TreeEntry *TE, SmallVectorImpl<int> &Mask,
4620 SmallVectorImpl<const TreeEntry *> &Entries) {
4621 // TODO: currently checking only for Scalars in the tree entry, need to count
4622 // reused elements too for better cost estimation.
4623 Mask.assign(TE->Scalars.size(), UndefMaskElem);
4624 Entries.clear();
4625 // Build a lists of values to tree entries.
4626 DenseMap<Value *, SmallPtrSet<const TreeEntry *, 4>> ValueToTEs;
4627 for (const std::unique_ptr<TreeEntry> &EntryPtr : VectorizableTree) {
4628 if (EntryPtr.get() == TE)
4629 break;
4630 if (EntryPtr->State != TreeEntry::NeedToGather)
4631 continue;
4632 for (Value *V : EntryPtr->Scalars)
4633 ValueToTEs.try_emplace(V).first->getSecond().insert(EntryPtr.get());
4634 }
4635 // Find all tree entries used by the gathered values. If no common entries
4636 // found - not a shuffle.
4637 // Here we build a set of tree nodes for each gathered value and trying to
4638 // find the intersection between these sets. If we have at least one common
4639 // tree node for each gathered value - we have just a permutation of the
4640 // single vector. If we have 2 different sets, we're in situation where we
4641 // have a permutation of 2 input vectors.
4642 SmallVector<SmallPtrSet<const TreeEntry *, 4>> UsedTEs;
4643 DenseMap<Value *, int> UsedValuesEntry;
4644 for (Value *V : TE->Scalars) {
4645 if (isa<UndefValue>(V))
4646 continue;
4647 // Build a list of tree entries where V is used.
4648 SmallPtrSet<const TreeEntry *, 4> VToTEs;
4649 auto It = ValueToTEs.find(V);
4650 if (It != ValueToTEs.end())
4651 VToTEs = It->second;
4652 if (const TreeEntry *VTE = getTreeEntry(V))
4653 VToTEs.insert(VTE);
4654 if (VToTEs.empty())
4655 return None;
4656 if (UsedTEs.empty()) {
4657 // The first iteration, just insert the list of nodes to vector.
4658 UsedTEs.push_back(VToTEs);
4659 } else {
4660 // Need to check if there are any previously used tree nodes which use V.
4661 // If there are no such nodes, consider that we have another one input
4662 // vector.
4663 SmallPtrSet<const TreeEntry *, 4> SavedVToTEs(VToTEs);
4664 unsigned Idx = 0;
4665 for (SmallPtrSet<const TreeEntry *, 4> &Set : UsedTEs) {
4666 // Do we have a non-empty intersection of previously listed tree entries
4667 // and tree entries using current V?
4668 set_intersect(VToTEs, Set);
4669 if (!VToTEs.empty()) {
4670 // Yes, write the new subset and continue analysis for the next
4671 // scalar.
4672 Set.swap(VToTEs);
4673 break;
4674 }
4675 VToTEs = SavedVToTEs;
4676 ++Idx;
4677 }
4678 // No non-empty intersection found - need to add a second set of possible
4679 // source vectors.
4680 if (Idx == UsedTEs.size()) {
4681 // If the number of input vectors is greater than 2 - not a permutation,
4682 // fallback to the regular gather.
4683 if (UsedTEs.size() == 2)
4684 return None;
4685 UsedTEs.push_back(SavedVToTEs);
4686 Idx = UsedTEs.size() - 1;
4687 }
4688 UsedValuesEntry.try_emplace(V, Idx);
4689 }
4690 }
4691
4692 unsigned VF = 0;
4693 if (UsedTEs.size() == 1) {
4694 // Try to find the perfect match in another gather node at first.
4695 auto It = find_if(UsedTEs.front(), [TE](const TreeEntry *EntryPtr) {
4696 return EntryPtr->isSame(TE->Scalars);
4697 });
4698 if (It != UsedTEs.front().end()) {
4699 Entries.push_back(*It);
4700 std::iota(Mask.begin(), Mask.end(), 0);
4701 return TargetTransformInfo::SK_PermuteSingleSrc;
4702 }
4703 // No perfect match, just shuffle, so choose the first tree node.
4704 Entries.push_back(*UsedTEs.front().begin());
4705 } else {
4706 // Try to find nodes with the same vector factor.
4707 assert(UsedTEs.size() == 2 && "Expected at max 2 permuted entries.")(static_cast<void> (0));
4708 // FIXME: Shall be replaced by GetVF function once non-power-2 patch is
4709 // landed.
4710 auto &&GetVF = [](const TreeEntry *TE) {
4711 if (!TE->ReuseShuffleIndices.empty())
4712 return TE->ReuseShuffleIndices.size();
4713 return TE->Scalars.size();
4714 };
4715 DenseMap<int, const TreeEntry *> VFToTE;
4716 for (const TreeEntry *TE : UsedTEs.front())
4717 VFToTE.try_emplace(GetVF(TE), TE);
4718 for (const TreeEntry *TE : UsedTEs.back()) {
4719 auto It = VFToTE.find(GetVF(TE));
4720 if (It != VFToTE.end()) {
4721 VF = It->first;
4722 Entries.push_back(It->second);
4723 Entries.push_back(TE);
4724 break;
4725 }
4726 }
4727 // No 2 source vectors with the same vector factor - give up and do regular
4728 // gather.
4729 if (Entries.empty())
4730 return None;
4731 }
4732
4733 // Build a shuffle mask for better cost estimation and vector emission.
4734 for (int I = 0, E = TE->Scalars.size(); I < E; ++I) {
4735 Value *V = TE->Scalars[I];
4736 if (isa<UndefValue>(V))
4737 continue;
4738 unsigned Idx = UsedValuesEntry.lookup(V);
4739 const TreeEntry *VTE = Entries[Idx];
4740 int FoundLane = VTE->findLaneForValue(V);
4741 Mask[I] = Idx * VF + FoundLane;
4742 // Extra check required by isSingleSourceMaskImpl function (called by
4743 // ShuffleVectorInst::isSingleSourceMask).
4744 if (Mask[I] >= 2 * E)
4745 return None;
4746 }
4747 switch (Entries.size()) {
4748 case 1:
4749 return TargetTransformInfo::SK_PermuteSingleSrc;
4750 case 2:
4751 return TargetTransformInfo::SK_PermuteTwoSrc;
4752 default:
4753 break;
4754 }
4755 return None;
4756}
4757
4758InstructionCost
4759BoUpSLP::getGatherCost(FixedVectorType *Ty,
4760 const DenseSet<unsigned> &ShuffledIndices) const {
4761 unsigned NumElts = Ty->getNumElements();
4762 APInt DemandedElts = APInt::getNullValue(NumElts);
4763 for (unsigned I = 0; I < NumElts; ++I)
4764 if (!ShuffledIndices.count(I))
4765 DemandedElts.setBit(I);
4766 InstructionCost Cost =
4767 TTI->getScalarizationOverhead(Ty, DemandedElts, /*Insert*/ true,
4768 /*Extract*/ false);
4769 if (!ShuffledIndices.empty())
4770 Cost += TTI->getShuffleCost(TargetTransformInfo::SK_PermuteSingleSrc, Ty);
4771 return Cost;
4772}
4773
4774InstructionCost BoUpSLP::getGatherCost(ArrayRef<Value *> VL) const {
4775 // Find the type of the operands in VL.
4776 Type *ScalarTy = VL[0]->getType();
4777 if (StoreInst *SI = dyn_cast<StoreInst>(VL[0]))
4778 ScalarTy = SI->getValueOperand()->getType();
4779 auto *VecTy = FixedVectorType::get(ScalarTy, VL.size());
4780 // Find the cost of inserting/extracting values from the vector.
4781 // Check if the same elements are inserted several times and count them as
4782 // shuffle candidates.
4783 DenseSet<unsigned> ShuffledElements;
4784 DenseSet<Value *> UniqueElements;
4785 // Iterate in reverse order to consider insert elements with the high cost.
4786 for (unsigned I = VL.size(); I > 0; --I) {
4787 unsigned Idx = I - 1;
4788 if (isConstant(VL[Idx]))
4789 continue;
4790 if (!UniqueElements.insert(VL[Idx]).second)
4791 ShuffledElements.insert(Idx);
4792 }
4793 return getGatherCost(VecTy, ShuffledElements);
4794}
4795
4796// Perform operand reordering on the instructions in VL and return the reordered
4797// operands in Left and Right.
4798void BoUpSLP::reorderInputsAccordingToOpcode(ArrayRef<Value *> VL,
4799 SmallVectorImpl<Value *> &Left,
4800 SmallVectorImpl<Value *> &Right,
4801 const DataLayout &DL,
4802 ScalarEvolution &SE,
4803 const BoUpSLP &R) {
4804 if (VL.empty())
4805 return;
4806 VLOperands Ops(VL, DL, SE, R);
4807 // Reorder the operands in place.
4808 Ops.reorder();
4809 Left = Ops.getVL(0);
4810 Right = Ops.getVL(1);
4811}
4812
4813void BoUpSLP::setInsertPointAfterBundle(const TreeEntry *E) {
4814 // Get the basic block this bundle is in. All instructions in the bundle
4815 // should be in this block.
4816 auto *Front = E->getMainOp();
4817 auto *BB = Front->getParent();
4818 assert(llvm::all_of(E->Scalars, [=](Value *V) -> bool {(static_cast<void> (0))
4819 auto *I = cast<Instruction>(V);(static_cast<void> (0))
4820 return !E->isOpcodeOrAlt(I) || I->getParent() == BB;(static_cast<void> (0))
4821 }))(static_cast<void> (0));
4822
4823 // The last instruction in the bundle in program order.
4824 Instruction *LastInst = nullptr;
4825
4826 // Find the last instruction. The common case should be that BB has been
4827 // scheduled, and the last instruction is VL.back(). So we start with
4828 // VL.back() and iterate over schedule data until we reach the end of the
4829 // bundle. The end of the bundle is marked by null ScheduleData.
4830 if (BlocksSchedules.count(BB)) {
4831 auto *Bundle =
4832 BlocksSchedules[BB]->getScheduleData(E->isOneOf(E->Scalars.back()));
4833 if (Bundle && Bundle->isPartOfBundle())
4834 for (; Bundle; Bundle = Bundle->NextInBundle)
4835 if (Bundle->OpValue == Bundle->Inst)
4836 LastInst = Bundle->Inst;
4837 }
4838
4839 // LastInst can still be null at this point if there's either not an entry
4840 // for BB in BlocksSchedules or there's no ScheduleData available for
4841 // VL.back(). This can be the case if buildTree_rec aborts for various
4842 // reasons (e.g., the maximum recursion depth is reached, the maximum region
4843 // size is reached, etc.). ScheduleData is initialized in the scheduling
4844 // "dry-run".
4845 //
4846 // If this happens, we can still find the last instruction by brute force. We
4847 // iterate forwards from Front (inclusive) until we either see all
4848 // instructions in the bundle or reach the end of the block. If Front is the
4849 // last instruction in program order, LastInst will be set to Front, and we
4850 // will visit all the remaining instructions in the block.
4851 //
4852 // One of the reasons we exit early from buildTree_rec is to place an upper
4853 // bound on compile-time. Thus, taking an additional compile-time hit here is
4854 // not ideal. However, this should be exceedingly rare since it requires that
4855 // we both exit early from buildTree_rec and that the bundle be out-of-order
4856 // (causing us to iterate all the way to the end of the block).
4857 if (!LastInst) {
4858 SmallPtrSet<Value *, 16> Bundle(E->Scalars.begin(), E->Scalars.end());
4859 for (auto &I : make_range(BasicBlock::iterator(Front), BB->end())) {
4860 if (Bundle.erase(&I) && E->isOpcodeOrAlt(&I))
4861 LastInst = &I;
4862 if (Bundle.empty())
4863 break;
4864 }
4865 }
4866 assert(LastInst && "Failed to find last instruction in bundle")(static_cast<void> (0));
4867
4868 // Set the insertion point after the last instruction in the bundle. Set the
4869 // debug location to Front.
4870 Builder.SetInsertPoint(BB, ++LastInst->getIterator());
4871 Builder.SetCurrentDebugLocation(Front->getDebugLoc());
4872}
4873
4874Value *BoUpSLP::gather(ArrayRef<Value *> VL) {
4875 // List of instructions/lanes from current block and/or the blocks which are
4876 // part of the current loop. These instructions will be inserted at the end to
4877 // make it possible to optimize loops and hoist invariant instructions out of
4878 // the loops body with better chances for success.
4879 SmallVector<std::pair<Value *, unsigned>, 4> PostponedInsts;
4880 SmallSet<int, 4> PostponedIndices;
4881 Loop *L = LI->getLoopFor(Builder.GetInsertBlock());
4882 auto &&CheckPredecessor = [](BasicBlock *InstBB, BasicBlock *InsertBB) {
4883 SmallPtrSet<BasicBlock *, 4> Visited;
4884 while (InsertBB && InsertBB != InstBB && Visited.insert(InsertBB).second)
4885 InsertBB = InsertBB->getSinglePredecessor();
4886 return InsertBB && InsertBB == InstBB;
4887 };
4888 for (int I = 0, E = VL.size(); I < E; ++I) {
4889 if (auto *Inst = dyn_cast<Instruction>(VL[I]))
4890 if ((CheckPredecessor(Inst->getParent(), Builder.GetInsertBlock()) ||
4891 getTreeEntry(Inst) || (L && (L->contains(Inst)))) &&
4892 PostponedIndices.insert(I).second)
4893 PostponedInsts.emplace_back(Inst, I);
4894 }
4895
4896 auto &&CreateInsertElement = [this](Value *Vec, Value *V, unsigned Pos) {
4897 Vec = Builder.CreateInsertElement(Vec, V, Builder.getInt32(Pos));
4898 auto *InsElt = dyn_cast<InsertElementInst>(Vec);
4899 if (!InsElt)
4900 return Vec;
4901 GatherSeq.insert(InsElt);
4902 CSEBlocks.insert(InsElt->getParent());
4903 // Add to our 'need-to-extract' list.
4904 if (TreeEntry *Entry = getTreeEntry(V)) {
4905 // Find which lane we need to extract.
4906 unsigned FoundLane = Entry->findLaneForValue(V);
4907 ExternalUses.emplace_back(V, InsElt, FoundLane);
4908 }
4909 return Vec;
4910 };
4911 Value *Val0 =
4912 isa<StoreInst>(VL[0]) ? cast<StoreInst>(VL[0])->getValueOperand() : VL[0];
4913 FixedVectorType *VecTy = FixedVectorType::get(Val0->getType(), VL.size());
4914 Value *Vec = PoisonValue::get(VecTy);
4915 SmallVector<int> NonConsts;
4916 // Insert constant values at first.
4917 for (int I = 0, E = VL.size(); I < E; ++I) {
4918 if (PostponedIndices.contains(I))
4919 continue;
4920 if (!isConstant(VL[I])) {
4921 NonConsts.push_back(I);
4922 continue;
4923 }
4924 Vec = CreateInsertElement(Vec, VL[I], I);
4925 }
4926 // Insert non-constant values.
4927 for (int I : NonConsts)
4928 Vec = CreateInsertElement(Vec, VL[I], I);
4929 // Append instructions, which are/may be part of the loop, in the end to make
4930 // it possible to hoist non-loop-based instructions.
4931 for (const std::pair<Value *, unsigned> &Pair : PostponedInsts)
4932 Vec = CreateInsertElement(Vec, Pair.first, Pair.second);
4933
4934 return Vec;
4935}
4936
4937namespace {
4938/// Merges shuffle masks and emits final shuffle instruction, if required.
4939class ShuffleInstructionBuilder {
4940 IRBuilderBase &Builder;
4941 const unsigned VF = 0;
4942 bool IsFinalized = false;
4943 SmallVector<int, 4> Mask;
4944
4945public:
4946 ShuffleInstructionBuilder(IRBuilderBase &Builder, unsigned VF)
4947 : Builder(Builder), VF(VF) {}
4948
4949 /// Adds a mask, inverting it before applying.
4950 void addInversedMask(ArrayRef<unsigned> SubMask) {
4951 if (SubMask.empty())
4952 return;
4953 SmallVector<int, 4> NewMask;
4954 inversePermutation(SubMask, NewMask);
4955 addMask(NewMask);
4956 }
4957
4958 /// Functions adds masks, merging them into single one.
4959 void addMask(ArrayRef<unsigned> SubMask) {
4960 SmallVector<int, 4> NewMask(SubMask.begin(), SubMask.end());
4961 addMask(NewMask);
4962 }
4963
4964 void addMask(ArrayRef<int> SubMask) { ::addMask(Mask, SubMask); }
4965
4966 Value *finalize(Value *V) {
4967 IsFinalized = true;
4968 unsigned ValueVF = cast<FixedVectorType>(V->getType())->getNumElements();
4969 if (VF == ValueVF && Mask.empty())
4970 return V;
4971 SmallVector<int, 4> NormalizedMask(VF, UndefMaskElem);
4972 std::iota(NormalizedMask.begin(), NormalizedMask.end(), 0);
4973 addMask(NormalizedMask);
4974
4975 if (VF == ValueVF && ShuffleVectorInst::isIdentityMask(Mask))
4976 return V;
4977 return Builder.CreateShuffleVector(V, Mask, "shuffle");
4978 }
4979
4980 ~ShuffleInstructionBuilder() {
4981 assert((IsFinalized || Mask.empty()) &&(static_cast<void> (0))
4982 "Shuffle construction must be finalized.")(static_cast<void> (0));
4983 }
4984};
4985} // namespace
4986
4987Value *BoUpSLP::vectorizeTree(ArrayRef<Value *> VL) {
4988 unsigned VF = VL.size();
4989 InstructionsState S = getSameOpcode(VL);
4990 if (S.getOpcode()) {
4991 if (TreeEntry *E = getTreeEntry(S.OpValue))
4992 if (E->isSame(VL)) {
4993 Value *V = vectorizeTree(E);
4994 if (VF != cast<FixedVectorType>(V->getType())->getNumElements()) {
4995 if (!E->ReuseShuffleIndices.empty()) {
4996 // Reshuffle to get only unique values.
4997 // If some of the scalars are duplicated in the vectorization tree
4998 // entry, we do not vectorize them but instead generate a mask for
4999 // the reuses. But if there are several users of the same entry,
5000 // they may have different vectorization factors. This is especially
5001 // important for PHI nodes. In this case, we need to adapt the
5002 // resulting instruction for the user vectorization factor and have
5003 // to reshuffle it again to take only unique elements of the vector.
5004 // Without this code the function incorrectly returns reduced vector
5005 // instruction with the same elements, not with the unique ones.
5006
5007 // block:
5008 // %phi = phi <2 x > { .., %entry} {%shuffle, %block}
5009 // %2 = shuffle <2 x > %phi, %poison, <4 x > <0, 0, 1, 1>
5010 // ... (use %2)
5011 // %shuffle = shuffle <2 x> %2, poison, <2 x> {0, 2}
5012 // br %block
5013 SmallVector<int> UniqueIdxs;
5014 SmallSet<int, 4> UsedIdxs;
5015 int Pos = 0;
5016 int Sz = VL.size();
5017 for (int Idx : E->ReuseShuffleIndices) {
5018 if (Idx != Sz && UsedIdxs.insert(Idx).second)
5019 UniqueIdxs.emplace_back(Pos);
5020 ++Pos;
5021 }
5022 assert(VF >= UsedIdxs.size() && "Expected vectorization factor "(static_cast<void> (0))
5023 "less than original vector size.")(static_cast<void> (0));
5024 UniqueIdxs.append(VF - UsedIdxs.size(), UndefMaskElem);
5025 V = Builder.CreateShuffleVector(V, UniqueIdxs, "shrink.shuffle");
5026 } else {
5027 assert(VF < cast<FixedVectorType>(V->getType())->getNumElements() &&(static_cast<void> (0))
5028 "Expected vectorization factor less "(static_cast<void> (0))
5029 "than original vector size.")(static_cast<void> (0));
5030 SmallVector<int> UniformMask(VF, 0);
5031 std::iota(UniformMask.begin(), UniformMask.end(), 0);
5032 V = Builder.CreateShuffleVector(V, UniformMask, "shrink.shuffle");
5033 }
5034 }
5035 return V;
5036 }
5037 }
5038
5039 // Check that every instruction appears once in this bundle.
5040 SmallVector<int> ReuseShuffleIndicies;
5041 SmallVector<Value *> UniqueValues;
5042 if (VL.size() > 2) {
5043 DenseMap<Value *, unsigned> UniquePositions;
5044 unsigned NumValues =
5045 std::distance(VL.begin(), find_if(reverse(VL), [](Value *V) {
5046 return !isa<UndefValue>(V);
5047 }).base());
5048 VF = std::max<unsigned>(VF, PowerOf2Ceil(NumValues));
5049 int UniqueVals = 0;
5050 for (Value *V : VL.drop_back(VL.size() - VF)) {
5051 if (isa<UndefValue>(V)) {
5052 ReuseShuffleIndicies.emplace_back(UndefMaskElem);
5053 continue;
5054 }
5055 if (isConstant(V)) {
5056 ReuseShuffleIndicies.emplace_back(UniqueValues.size());
5057 UniqueValues.emplace_back(V);
5058 continue;
5059 }
5060 auto Res = UniquePositions.try_emplace(V, UniqueValues.size());
5061 ReuseShuffleIndicies.emplace_back(Res.first->second);
5062 if (Res.second) {
5063 UniqueValues.emplace_back(V);
5064 ++UniqueVals;
5065 }
5066 }
5067 if (UniqueVals == 1 && UniqueValues.size() == 1) {
5068 // Emit pure splat vector.
5069 ReuseShuffleIndicies.append(VF - ReuseShuffleIndicies.size(),
5070 UndefMaskElem);
5071 } else if (UniqueValues.size() >= VF - 1 || UniqueValues.size() <= 1) {
5072 ReuseShuffleIndicies.clear();
5073 UniqueValues.clear();
5074 UniqueValues.append(VL.begin(), std::next(VL.begin(), NumValues));
5075 }
5076 UniqueValues.append(VF - UniqueValues.size(),
5077 PoisonValue::get(VL[0]->getType()));
5078 VL = UniqueValues;
5079 }
5080
5081 ShuffleInstructionBuilder ShuffleBuilder(Builder, VF);
5082 Value *Vec = gather(VL);
5083 if (!ReuseShuffleIndicies.empty()) {
5084 ShuffleBuilder.addMask(ReuseShuffleIndicies);
5085 Vec = ShuffleBuilder.finalize(Vec);
5086 if (auto *I = dyn_cast<Instruction>(Vec)) {
5087 GatherSeq.insert(I);
5088 CSEBlocks.insert(I->getParent());
5089 }
5090 }
5091 return Vec;
5092}
5093
5094Value *BoUpSLP::vectorizeTree(TreeEntry *E) {
5095 IRBuilder<>::InsertPointGuard Guard(Builder);
5096
5097 if (E->VectorizedValue) {
5098 LLVM_DEBUG(dbgs() << "SLP: Diamond merged for " << *E->Scalars[0] << ".\n")do { } while (false);
5099 return E->VectorizedValue;
5100 }
5101
5102 bool NeedToShuffleReuses = !E->ReuseShuffleIndices.empty();
5103 unsigned VF = E->Scalars.size();
5104 if (NeedToShuffleReuses)
5105 VF = E->ReuseShuffleIndices.size();
5106 ShuffleInstructionBuilder ShuffleBuilder(Builder, VF);
5107 if (E->State == TreeEntry::NeedToGather) {
5108 setInsertPointAfterBundle(E);
5109 Value *Vec;
5110 SmallVector<int> Mask;
5111 SmallVector<const TreeEntry *> Entries;
5112 Optional<TargetTransformInfo::ShuffleKind> Shuffle =
5113 isGatherShuffledEntry(E, Mask, Entries);
5114 if (Shuffle.hasValue()) {
5115 assert((Entries.size() == 1 || Entries.size() == 2) &&(static_cast<void> (0))
5116 "Expected shuffle of 1 or 2 entries.")(static_cast<void> (0));
5117 Vec = Builder.CreateShuffleVector(Entries.front()->VectorizedValue,
5118 Entries.back()->VectorizedValue, Mask);
5119 } else {
5120 Vec = gather(E->Scalars);
5121 }
5122 if (NeedToShuffleReuses) {
5123 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5124 Vec = ShuffleBuilder.finalize(Vec);
5125 if (auto *I = dyn_cast<Instruction>(Vec)) {
5126 GatherSeq.insert(I);
5127 CSEBlocks.insert(I->getParent());
5128 }
5129 }
5130 E->VectorizedValue = Vec;
5131 return Vec;
5132 }
5133
5134 assert((E->State == TreeEntry::Vectorize ||(static_cast<void> (0))
5135 E->State == TreeEntry::ScatterVectorize) &&(static_cast<void> (0))
5136 "Unhandled state")(static_cast<void> (0));
5137 unsigned ShuffleOrOp =
5138 E->isAltShuffle() ? (unsigned)Instruction::ShuffleVector : E->getOpcode();
5139 Instruction *VL0 = E->getMainOp();
5140 Type *ScalarTy = VL0->getType();
5141 if (auto *Store = dyn_cast<StoreInst>(VL0))
5142 ScalarTy = Store->getValueOperand()->getType();
5143 else if (auto *IE = dyn_cast<InsertElementInst>(VL0))
5144 ScalarTy = IE->getOperand(1)->getType();
5145 auto *VecTy = FixedVectorType::get(ScalarTy, E->Scalars.size());
5146 switch (ShuffleOrOp) {
5147 case Instruction::PHI: {
5148 auto *PH = cast<PHINode>(VL0);
5149 Builder.SetInsertPoint(PH->getParent()->getFirstNonPHI());
5150 Builder.SetCurrentDebugLocation(PH->getDebugLoc());
5151 PHINode *NewPhi = Builder.CreatePHI(VecTy, PH->getNumIncomingValues());
5152 Value *V = NewPhi;
5153 if (NeedToShuffleReuses)
5154 V = Builder.CreateShuffleVector(V, E->ReuseShuffleIndices, "shuffle");
5155
5156 E->VectorizedValue = V;
5157
5158 // PHINodes may have multiple entries from the same block. We want to
5159 // visit every block once.
5160 SmallPtrSet<BasicBlock*, 4> VisitedBBs;
5161
5162 for (unsigned i = 0, e = PH->getNumIncomingValues(); i < e; ++i) {
5163 ValueList Operands;
5164 BasicBlock *IBB = PH->getIncomingBlock(i);
5165
5166 if (!VisitedBBs.insert(IBB).second) {
5167 NewPhi->addIncoming(NewPhi->getIncomingValueForBlock(IBB), IBB);
5168 continue;
5169 }
5170
5171 Builder.SetInsertPoint(IBB->getTerminator());
5172 Builder.SetCurrentDebugLocation(PH->getDebugLoc());
5173 Value *Vec = vectorizeTree(E->getOperand(i));
5174 NewPhi->addIncoming(Vec, IBB);
5175 }
5176
5177 assert(NewPhi->getNumIncomingValues() == PH->getNumIncomingValues() &&(static_cast<void> (0))
5178 "Invalid number of incoming values")(static_cast<void> (0));
5179 return V;
5180 }
5181
5182 case Instruction::ExtractElement: {
5183 Value *V = E->getSingleOperand(0);
5184 Builder.SetInsertPoint(VL0);
5185 ShuffleBuilder.addInversedMask(E->ReorderIndices);
5186 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5187 V = ShuffleBuilder.finalize(V);
5188 E->VectorizedValue = V;
5189 return V;
5190 }
5191 case Instruction::ExtractValue: {
5192 auto *LI = cast<LoadInst>(E->getSingleOperand(0));
5193 Builder.SetInsertPoint(LI);
5194 auto *PtrTy = PointerType::get(VecTy, LI->getPointerAddressSpace());
5195 Value *Ptr = Builder.CreateBitCast(LI->getOperand(0), PtrTy);
5196 LoadInst *V = Builder.CreateAlignedLoad(VecTy, Ptr, LI->getAlign());
5197 Value *NewV = propagateMetadata(V, E->Scalars);
5198 ShuffleBuilder.addInversedMask(E->ReorderIndices);
5199 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5200 NewV = ShuffleBuilder.finalize(NewV);
5201 E->VectorizedValue = NewV;
5202 return NewV;
5203 }
5204 case Instruction::InsertElement: {
5205 Builder.SetInsertPoint(VL0);
5206 Value *V = vectorizeTree(E->getOperand(1));
5207
5208 const unsigned NumElts =
5209 cast<FixedVectorType>(VL0->getType())->getNumElements();
5210 const unsigned NumScalars = E->Scalars.size();
5211
5212 // Create InsertVector shuffle if necessary
5213 Instruction *FirstInsert = nullptr;
5214 bool IsIdentity = true;
5215 unsigned Offset = UINT_MAX(2147483647 *2U +1U);
5216 for (unsigned I = 0; I < NumScalars; ++I) {
5217 Value *Scalar = E->Scalars[I];
5218 if (!FirstInsert &&
5219 !is_contained(E->Scalars, cast<Instruction>(Scalar)->getOperand(0)))
5220 FirstInsert = cast<Instruction>(Scalar);
5221 Optional<int> InsertIdx = getInsertIndex(Scalar, 0);
5222 if (!InsertIdx || *InsertIdx == UndefMaskElem)
5223 continue;
5224 unsigned Idx = *InsertIdx;
5225 if (Idx < Offset) {
5226 Offset = Idx;
5227 IsIdentity &= I == 0;
5228 } else {
5229 assert(Idx >= Offset && "Failed to find vector index offset")(static_cast<void> (0));
5230 IsIdentity &= Idx - Offset == I;
5231 }
5232 }
5233 assert(Offset < NumElts && "Failed to find vector index offset")(static_cast<void> (0));
5234
5235 // Create shuffle to resize vector
5236 SmallVector<int> Mask(NumElts, UndefMaskElem);
5237 if (!IsIdentity) {
5238 for (unsigned I = 0; I < NumScalars; ++I) {
5239 Value *Scalar = E->Scalars[I];
5240 Optional<int> InsertIdx = getInsertIndex(Scalar, 0);
5241 if (!InsertIdx || *InsertIdx == UndefMaskElem)
5242 continue;
5243 Mask[*InsertIdx - Offset] = I;
5244 }
5245 } else {
5246 std::iota(Mask.begin(), std::next(Mask.begin(), NumScalars), 0);
5247 }
5248 if (!IsIdentity || NumElts != NumScalars)
5249 V = Builder.CreateShuffleVector(V, Mask);
5250
5251 if ((!IsIdentity || Offset != 0 ||
5252 !isa<UndefValue>(FirstInsert->getOperand(0))) &&
5253 NumElts != NumScalars) {
5254 SmallVector<int> InsertMask(NumElts);
5255 std::iota(InsertMask.begin(), InsertMask.end(), 0);
5256 for (unsigned I = 0; I < NumElts; I++) {
5257 if (Mask[I] != UndefMaskElem)
5258 InsertMask[Offset + I] = NumElts + I;
5259 }
5260
5261 V = Builder.CreateShuffleVector(
5262 FirstInsert->getOperand(0), V, InsertMask,
5263 cast<Instruction>(E->Scalars.back())->getName());
5264 }
5265
5266 ++NumVectorInstructions;
5267 E->VectorizedValue = V;
5268 return V;
5269 }
5270 case Instruction::ZExt:
5271 case Instruction::SExt:
5272 case Instruction::FPToUI:
5273 case Instruction::FPToSI:
5274 case Instruction::FPExt:
5275 case Instruction::PtrToInt:
5276 case Instruction::IntToPtr:
5277 case Instruction::SIToFP:
5278 case Instruction::UIToFP:
5279 case Instruction::Trunc:
5280 case Instruction::FPTrunc:
5281 case Instruction::BitCast: {
5282 setInsertPointAfterBundle(E);
5283
5284 Value *InVec = vectorizeTree(E->getOperand(0));
5285
5286 if (E->VectorizedValue) {
5287 LLVM_DEBUG(dbgs() << "SLP: Diamond merged for " << *VL0 << ".\n")do { } while (false);
5288 return E->VectorizedValue;
5289 }
5290
5291 auto *CI = cast<CastInst>(VL0);
5292 Value *V = Builder.CreateCast(CI->getOpcode(), InVec, VecTy);
5293 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5294 V = ShuffleBuilder.finalize(V);
5295
5296 E->VectorizedValue = V;
5297 ++NumVectorInstructions;
5298 return V;
5299 }
5300 case Instruction::FCmp:
5301 case Instruction::ICmp: {
5302 setInsertPointAfterBundle(E);
5303
5304 Value *L = vectorizeTree(E->getOperand(0));
5305 Value *R = vectorizeTree(E->getOperand(1));
5306
5307 if (E->VectorizedValue) {
5308 LLVM_DEBUG(dbgs() << "SLP: Diamond merged for " << *VL0 << ".\n")do { } while (false);
5309 return E->VectorizedValue;
5310 }
5311
5312 CmpInst::Predicate P0 = cast<CmpInst>(VL0)->getPredicate();
5313 Value *V = Builder.CreateCmp(P0, L, R);
5314 propagateIRFlags(V, E->Scalars, VL0);
5315 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5316 V = ShuffleBuilder.finalize(V);
5317
5318 E->VectorizedValue = V;
5319 ++NumVectorInstructions;
5320 return V;
5321 }
5322 case Instruction::Select: {
5323 setInsertPointAfterBundle(E);
5324
5325 Value *Cond = vectorizeTree(E->getOperand(0));
5326 Value *True = vectorizeTree(E->getOperand(1));
5327 Value *False = vectorizeTree(E->getOperand(2));
5328
5329 if (E->VectorizedValue) {
5330 LLVM_DEBUG(dbgs() << "SLP: Diamond merged for " << *VL0 << ".\n")do { } while (false);
5331 return E->VectorizedValue;
5332 }
5333
5334 Value *V = Builder.CreateSelect(Cond, True, False);
5335 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5336 V = ShuffleBuilder.finalize(V);
5337
5338 E->VectorizedValue = V;
5339 ++NumVectorInstructions;
5340 return V;
5341 }
5342 case Instruction::FNeg: {
5343 setInsertPointAfterBundle(E);
5344
5345 Value *Op = vectorizeTree(E->getOperand(0));
5346
5347 if (E->VectorizedValue) {
5348 LLVM_DEBUG(dbgs() << "SLP: Diamond merged for " << *VL0 << ".\n")do { } while (false);
5349 return E->VectorizedValue;
5350 }
5351
5352 Value *V = Builder.CreateUnOp(
5353 static_cast<Instruction::UnaryOps>(E->getOpcode()), Op);
5354 propagateIRFlags(V, E->Scalars, VL0);
5355 if (auto *I = dyn_cast<Instruction>(V))
5356 V = propagateMetadata(I, E->Scalars);
5357
5358 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5359 V = ShuffleBuilder.finalize(V);
5360
5361 E->VectorizedValue = V;
5362 ++NumVectorInstructions;
5363
5364 return V;
5365 }
5366 case Instruction::Add:
5367 case Instruction::FAdd:
5368 case Instruction::Sub:
5369 case Instruction::FSub:
5370 case Instruction::Mul:
5371 case Instruction::FMul:
5372 case Instruction::UDiv:
5373 case Instruction::SDiv:
5374 case Instruction::FDiv:
5375 case Instruction::URem:
5376 case Instruction::SRem:
5377 case Instruction::FRem:
5378 case Instruction::Shl:
5379 case Instruction::LShr:
5380 case Instruction::AShr:
5381 case Instruction::And:
5382 case Instruction::Or:
5383 case Instruction::Xor: {
5384 setInsertPointAfterBundle(E);
5385
5386 Value *LHS = vectorizeTree(E->getOperand(0));
5387 Value *RHS = vectorizeTree(E->getOperand(1));
5388
5389 if (E->VectorizedValue) {
5390 LLVM_DEBUG(dbgs() << "SLP: Diamond merged for " << *VL0 << ".\n")do { } while (false);
5391 return E->VectorizedValue;
5392 }
5393
5394 Value *V = Builder.CreateBinOp(
5395 static_cast<Instruction::BinaryOps>(E->getOpcode()), LHS,
5396 RHS);
5397 propagateIRFlags(V, E->Scalars, VL0);
5398 if (auto *I = dyn_cast<Instruction>(V))
5399 V = propagateMetadata(I, E->Scalars);
5400
5401 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5402 V = ShuffleBuilder.finalize(V);
5403
5404 E->VectorizedValue = V;
5405 ++NumVectorInstructions;
5406
5407 return V;
5408 }
5409 case Instruction::Load: {
5410 // Loads are inserted at the head of the tree because we don't want to
5411 // sink them all the way down past store instructions.
5412 bool IsReorder = E->updateStateIfReorder();
5413 if (IsReorder)
5414 VL0 = E->getMainOp();
5415 setInsertPointAfterBundle(E);
5416
5417 LoadInst *LI = cast<LoadInst>(VL0);
5418 Instruction *NewLI;
5419 unsigned AS = LI->getPointerAddressSpace();
5420 Value *PO = LI->getPointerOperand();
5421 if (E->State == TreeEntry::Vectorize) {
5422
5423 Value *VecPtr = Builder.CreateBitCast(PO, VecTy->getPointerTo(AS));
5424
5425 // The pointer operand uses an in-tree scalar so we add the new BitCast
5426 // to ExternalUses list to make sure that an extract will be generated
5427 // in the future.
5428 if (getTreeEntry(PO))
5429 ExternalUses.emplace_back(PO, cast<User>(VecPtr), 0);
5430
5431 NewLI = Builder.CreateAlignedLoad(VecTy, VecPtr, LI->getAlign());
5432 } else {
5433 assert(E->State == TreeEntry::ScatterVectorize && "Unhandled state")(static_cast<void> (0));
5434 Value *VecPtr = vectorizeTree(E->getOperand(0));
5435 // Use the minimum alignment of the gathered loads.
5436 Align CommonAlignment = LI->getAlign();
5437 for (Value *V : E->Scalars)
5438 CommonAlignment =
5439 commonAlignment(CommonAlignment, cast<LoadInst>(V)->getAlign());
5440 NewLI = Builder.CreateMaskedGather(VecTy, VecPtr, CommonAlignment);
5441 }
5442 Value *V = propagateMetadata(NewLI, E->Scalars);
5443
5444 ShuffleBuilder.addInversedMask(E->ReorderIndices);
5445 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5446 V = ShuffleBuilder.finalize(V);
5447 E->VectorizedValue = V;
5448 ++NumVectorInstructions;
5449 return V;
5450 }
5451 case Instruction::Store: {
5452 bool IsReorder = !E->ReorderIndices.empty();
5453 auto *SI = cast<StoreInst>(
5454 IsReorder ? E->Scalars[E->ReorderIndices.front()] : VL0);
5455 unsigned AS = SI->getPointerAddressSpace();
5456
5457 setInsertPointAfterBundle(E);
5458
5459 Value *VecValue = vectorizeTree(E->getOperand(0));
5460 ShuffleBuilder.addMask(E->ReorderIndices);
5461 VecValue = ShuffleBuilder.finalize(VecValue);
5462
5463 Value *ScalarPtr = SI->getPointerOperand();
5464 Value *VecPtr = Builder.CreateBitCast(
5465 ScalarPtr, VecValue->getType()->getPointerTo(AS));
5466 StoreInst *ST = Builder.CreateAlignedStore(VecValue, VecPtr,
5467 SI->getAlign());
5468
5469 // The pointer operand uses an in-tree scalar, so add the new BitCast to
5470 // ExternalUses to make sure that an extract will be generated in the
5471 // future.
5472 if (getTreeEntry(ScalarPtr))
5473 ExternalUses.push_back(ExternalUser(ScalarPtr, cast<User>(VecPtr), 0));
5474
5475 Value *V = propagateMetadata(ST, E->Scalars);
5476
5477 E->VectorizedValue = V;
5478 ++NumVectorInstructions;
5479 return V;
5480 }
5481 case Instruction::GetElementPtr: {
5482 setInsertPointAfterBundle(E);
5483
5484 Value *Op0 = vectorizeTree(E->getOperand(0));
5485
5486 std::vector<Value *> OpVecs;
5487 for (int j = 1, e = cast<GetElementPtrInst>(VL0)->getNumOperands(); j < e;
5488 ++j) {
5489 ValueList &VL = E->getOperand(j);
5490 // Need to cast all elements to the same type before vectorization to
5491 // avoid crash.
5492 Type *VL0Ty = VL0->getOperand(j)->getType();
5493 Type *Ty = llvm::all_of(
5494 VL, [VL0Ty](Value *V) { return VL0Ty == V->getType(); })
5495 ? VL0Ty
5496 : DL->getIndexType(cast<GetElementPtrInst>(VL0)
5497 ->getPointerOperandType()
5498 ->getScalarType());
5499 for (Value *&V : VL) {
5500 auto *CI = cast<ConstantInt>(V);
5501 V = ConstantExpr::getIntegerCast(CI, Ty,
5502 CI->getValue().isSignBitSet());
5503 }
5504 Value *OpVec = vectorizeTree(VL);
5505 OpVecs.push_back(OpVec);
5506 }
5507
5508 Value *V = Builder.CreateGEP(
5509 cast<GetElementPtrInst>(VL0)->getSourceElementType(), Op0, OpVecs);
5510 if (Instruction *I = dyn_cast<Instruction>(V))
5511 V = propagateMetadata(I, E->Scalars);
5512
5513 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5514 V = ShuffleBuilder.finalize(V);
5515
5516 E->VectorizedValue = V;
5517 ++NumVectorInstructions;
5518
5519 return V;
5520 }
5521 case Instruction::Call: {
5522 CallInst *CI = cast<CallInst>(VL0);
5523 setInsertPointAfterBundle(E);
5524
5525 Intrinsic::ID IID = Intrinsic::not_intrinsic;
5526 if (Function *FI = CI->getCalledFunction())
5527 IID = FI->getIntrinsicID();
5528
5529 Intrinsic::ID ID = getVectorIntrinsicIDForCall(CI, TLI);
5530
5531 auto VecCallCosts = getVectorCallCosts(CI, VecTy, TTI, TLI);
5532 bool UseIntrinsic = ID != Intrinsic::not_intrinsic &&
5533 VecCallCosts.first <= VecCallCosts.second;
5534
5535 Value *ScalarArg = nullptr;
5536 std::vector<Value *> OpVecs;
5537 SmallVector<Type *, 2> TysForDecl =
5538 {FixedVectorType::get(CI->getType(), E->Scalars.size())};
5539 for (int j = 0, e = CI->getNumArgOperands(); j < e; ++j) {
5540 ValueList OpVL;
5541 // Some intrinsics have scalar arguments. This argument should not be
5542 // vectorized.
5543 if (UseIntrinsic && hasVectorInstrinsicScalarOpd(IID, j)) {
5544 CallInst *CEI = cast<CallInst>(VL0);
5545 ScalarArg = CEI->getArgOperand(j);
5546 OpVecs.push_back(CEI->getArgOperand(j));
5547 if (hasVectorInstrinsicOverloadedScalarOpd(IID, j))
5548 TysForDecl.push_back(ScalarArg->getType());
5549 continue;
5550 }
5551
5552 Value *OpVec = vectorizeTree(E->getOperand(j));
5553 LLVM_DEBUG(dbgs() << "SLP: OpVec[" << j << "]: " << *OpVec << "\n")do { } while (false);
5554 OpVecs.push_back(OpVec);
5555 }
5556
5557 Function *CF;
5558 if (!UseIntrinsic) {
5559 VFShape Shape =
5560 VFShape::get(*CI, ElementCount::getFixed(static_cast<unsigned>(
5561 VecTy->getNumElements())),
5562 false /*HasGlobalPred*/);
5563 CF = VFDatabase(*CI).getVectorizedFunction(Shape);
5564 } else {
5565 CF = Intrinsic::getDeclaration(F->getParent(), ID, TysForDecl);
5566 }
5567
5568 SmallVector<OperandBundleDef, 1> OpBundles;
5569 CI->getOperandBundlesAsDefs(OpBundles);
5570 Value *V = Builder.CreateCall(CF, OpVecs, OpBundles);
5571
5572 // The scalar argument uses an in-tree scalar so we add the new vectorized
5573 // call to ExternalUses list to make sure that an extract will be
5574 // generated in the future.
5575 if (ScalarArg && getTreeEntry(ScalarArg))
5576 ExternalUses.push_back(ExternalUser(ScalarArg, cast<User>(V), 0));
5577
5578 propagateIRFlags(V, E->Scalars, VL0);
5579 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5580 V = ShuffleBuilder.finalize(V);
5581
5582 E->VectorizedValue = V;
5583 ++NumVectorInstructions;
5584 return V;
5585 }
5586 case Instruction::ShuffleVector: {
5587 assert(E->isAltShuffle() &&(static_cast<void> (0))
5588 ((Instruction::isBinaryOp(E->getOpcode()) &&(static_cast<void> (0))
5589 Instruction::isBinaryOp(E->getAltOpcode())) ||(static_cast<void> (0))
5590 (Instruction::isCast(E->getOpcode()) &&(static_cast<void> (0))
5591 Instruction::isCast(E->getAltOpcode()))) &&(static_cast<void> (0))
5592 "Invalid Shuffle Vector Operand")(static_cast<void> (0));
5593
5594 Value *LHS = nullptr, *RHS = nullptr;
5595 if (Instruction::isBinaryOp(E->getOpcode())) {
5596 setInsertPointAfterBundle(E);
5597 LHS = vectorizeTree(E->getOperand(0));
5598 RHS = vectorizeTree(E->getOperand(1));
5599 } else {
5600 setInsertPointAfterBundle(E);
5601 LHS = vectorizeTree(E->getOperand(0));
5602 }
5603
5604 if (E->VectorizedValue) {
5605 LLVM_DEBUG(dbgs() << "SLP: Diamond merged for " << *VL0 << ".\n")do { } while (false);
5606 return E->VectorizedValue;
5607 }
5608
5609 Value *V0, *V1;
5610 if (Instruction::isBinaryOp(E->getOpcode())) {
5611 V0 = Builder.CreateBinOp(
5612 static_cast<Instruction::BinaryOps>(E->getOpcode()), LHS, RHS);
5613 V1 = Builder.CreateBinOp(
5614 static_cast<Instruction::BinaryOps>(E->getAltOpcode()), LHS, RHS);
5615 } else {
5616 V0 = Builder.CreateCast(
5617 static_cast<Instruction::CastOps>(E->getOpcode()), LHS, VecTy);
5618 V1 = Builder.CreateCast(
5619 static_cast<Instruction::CastOps>(E->getAltOpcode()), LHS, VecTy);
5620 }
5621
5622 // Create shuffle to take alternate operations from the vector.
5623 // Also, gather up main and alt scalar ops to propagate IR flags to
5624 // each vector operation.
5625 ValueList OpScalars, AltScalars;
5626 unsigned Sz = E->Scalars.size();
5627 SmallVector<int> Mask(Sz);
5628 for (unsigned I = 0; I < Sz; ++I) {
5629 auto *OpInst = cast<Instruction>(E->Scalars[I]);
5630 assert(E->isOpcodeOrAlt(OpInst) && "Unexpected main/alternate opcode")(static_cast<void> (0));
5631 if (OpInst->getOpcode() == E->getAltOpcode()) {
5632 Mask[I] = Sz + I;
5633 AltScalars.push_back(E->Scalars[I]);
5634 } else {
5635 Mask[I] = I;
5636 OpScalars.push_back(E->Scalars[I]);
5637 }
5638 }
5639
5640 propagateIRFlags(V0, OpScalars);
5641 propagateIRFlags(V1, AltScalars);
5642
5643 Value *V = Builder.CreateShuffleVector(V0, V1, Mask);
5644 if (Instruction *I = dyn_cast<Instruction>(V))
5645 V = propagateMetadata(I, E->Scalars);
5646 ShuffleBuilder.addMask(E->ReuseShuffleIndices);
5647 V = ShuffleBuilder.finalize(V);
5648
5649 E->VectorizedValue = V;
5650 ++NumVectorInstructions;
5651
5652 return V;
5653 }
5654 default:
5655 llvm_unreachable("unknown inst")__builtin_unreachable();
5656 }
5657 return nullptr;
5658}
5659
5660Value *BoUpSLP::vectorizeTree() {
5661 ExtraValueToDebugLocsMap ExternallyUsedValues;
5662 return vectorizeTree(ExternallyUsedValues);
5663}
5664
5665Value *
5666BoUpSLP::vectorizeTree(ExtraValueToDebugLocsMap &ExternallyUsedValues) {
5667 // All blocks must be scheduled before any instructions are inserted.
5668 for (auto &BSIter : BlocksSchedules) {
5669 scheduleBlock(BSIter.second.get());
5670 }
5671
5672 Builder.SetInsertPoint(&F->getEntryBlock().front());
5673 auto *VectorRoot = vectorizeTree(VectorizableTree[0].get());
5674
5675 // If the vectorized tree can be rewritten in a smaller type, we truncate the
5676 // vectorized root. InstCombine will then rewrite the entire expression. We
5677 // sign extend the extracted values below.
5678 auto *ScalarRoot = VectorizableTree[0]->Scalars[0];
5679 if (MinBWs.count(ScalarRoot)) {
5680 if (auto *I = dyn_cast<Instruction>(VectorRoot)) {
5681 // If current instr is a phi and not the last phi, insert it after the
5682 // last phi node.
5683 if (isa<PHINode>(I))
5684 Builder.SetInsertPoint(&*I->getParent()->getFirstInsertionPt());
5685 else
5686 Builder.SetInsertPoint(&*++BasicBlock::iterator(I));
5687 }
5688 auto BundleWidth = VectorizableTree[0]->Scalars.size();
5689 auto *MinTy = IntegerType::get(F->getContext(), MinBWs[ScalarRoot].first);
5690 auto *VecTy = FixedVectorType::get(MinTy, BundleWidth);
5691 auto *Trunc = Builder.CreateTrunc(VectorRoot, VecTy);
5692 VectorizableTree[0]->VectorizedValue = Trunc;
5693 }
5694
5695 LLVM_DEBUG(dbgs() << "SLP: Extracting " << ExternalUses.size()do { } while (false)
5696 << " values .\n")do { } while (false);
5697
5698 // Extract all of the elements with the external uses.
5699 for (const auto &ExternalUse : ExternalUses) {
5700 Value *Scalar = ExternalUse.Scalar;
5701 llvm::User *User = ExternalUse.User;
5702
5703 // Skip users that we already RAUW. This happens when one instruction
5704 // has multiple uses of the same value.
5705 if (User && !is_contained(Scalar->users(), User))
5706 continue;
5707 TreeEntry *E = getTreeEntry(Scalar);
5708 assert(E && "Invalid scalar")(static_cast<void> (0));
5709 assert(E->State != TreeEntry::NeedToGather &&(static_cast<void> (0))
5710 "Extracting from a gather list")(static_cast<void> (0));
5711
5712 Value *Vec = E->VectorizedValue;
5713 assert(Vec && "Can't find vectorizable value")(static_cast<void> (0));
5714
5715 Value *Lane = Builder.getInt32(ExternalUse.Lane);
5716 auto ExtractAndExtendIfNeeded = [&](Value *Vec) {
5717 if (Scalar->getType() != Vec->getType()) {
5718 Value *Ex;
5719 // "Reuse" the existing extract to improve final codegen.
5720 if (auto *ES = dyn_cast<ExtractElementInst>(Scalar)) {
5721 Ex = Builder.CreateExtractElement(ES->getOperand(0),
5722 ES->getOperand(1));
5723 } else {
5724 Ex = Builder.CreateExtractElement(Vec, Lane);
5725 }
5726 // If necessary, sign-extend or zero-extend ScalarRoot
5727 // to the larger type.
5728 if (!MinBWs.count(ScalarRoot))
5729 return Ex;
5730 if (MinBWs[ScalarRoot].second)
5731 return Builder.CreateSExt(Ex, Scalar->getType());
5732 return Builder.CreateZExt(Ex, Scalar->getType());
5733 }
5734 assert(isa<FixedVectorType>(Scalar->getType()) &&(static_cast<void> (0))
5735 isa<InsertElementInst>(Scalar) &&(static_cast<void> (0))
5736 "In-tree scalar of vector type is not insertelement?")(static_cast<void> (0));
5737 return Vec;
5738 };
5739 // If User == nullptr, the Scalar is used as extra arg. Generate
5740 // ExtractElement instruction and update the record for this scalar in
5741 // ExternallyUsedValues.
5742 if (!User) {
5743 assert(ExternallyUsedValues.count(Scalar) &&(static_cast<void> (0))
5744 "Scalar with nullptr as an external user must be registered in "(static_cast<void> (0))
5745 "ExternallyUsedValues map")(static_cast<void> (0));
5746 if (auto *VecI = dyn_cast<Instruction>(Vec)) {
5747 Builder.SetInsertPoint(VecI->getParent(),
5748 std::next(VecI->getIterator()));
5749 } else {
5750 Builder.SetInsertPoint(&F->getEntryBlock().front());
5751 }
5752 Value *NewInst = ExtractAndExtendIfNeeded(Vec);
5753 CSEBlocks.insert(cast<Instruction>(Scalar)->getParent());
5754 auto &NewInstLocs = ExternallyUsedValues[NewInst];
5755 auto It = ExternallyUsedValues.find(Scalar);
5756 assert(It != ExternallyUsedValues.end() &&(static_cast<void> (0))
5757 "Externally used scalar is not found in ExternallyUsedValues")(static_cast<void> (0));
5758 NewInstLocs.append(It->second);
5759 ExternallyUsedValues.erase(Scalar);
5760 // Required to update internally referenced instructions.
5761 Scalar->replaceAllUsesWith(NewInst);
5762 continue;
5763 }
5764
5765 // Generate extracts for out-of-tree users.
5766 // Find the insertion point for the extractelement lane.
5767 if (auto *VecI = dyn_cast<Instruction>(Vec)) {
5768 if (PHINode *PH = dyn_cast<PHINode>(User)) {
5769 for (int i = 0, e = PH->getNumIncomingValues(); i != e; ++i) {
5770 if (PH->getIncomingValue(i) == Scalar) {
5771 Instruction *IncomingTerminator =
5772 PH->getIncomingBlock(i)->getTerminator();
5773 if (isa<CatchSwitchInst>(IncomingTerminator)) {
5774 Builder.SetInsertPoint(VecI->getParent(),
5775 std::next(VecI->getIterator()));
5776 } else {
5777 Builder.SetInsertPoint(PH->getIncomingBlock(i)->getTerminator());
5778 }
5779 Value *NewInst = ExtractAndExtendIfNeeded(Vec);
5780 CSEBlocks.insert(PH->getIncomingBlock(i));
5781 PH->setOperand(i, NewInst);
5782 }
5783 }
5784 } else {
5785 Builder.SetInsertPoint(cast<Instruction>(User));
5786 Value *NewInst = ExtractAndExtendIfNeeded(Vec);
5787 CSEBlocks.insert(cast<Instruction>(User)->getParent());
5788 User->replaceUsesOfWith(Scalar, NewInst);
5789 }
5790 } else {
5791 Builder.SetInsertPoint(&F->getEntryBlock().front());
5792 Value *NewInst = ExtractAndExtendIfNeeded(Vec);
5793 CSEBlocks.insert(&F->getEntryBlock());
5794 User->replaceUsesOfWith(Scalar, NewInst);
5795 }
5796
5797 LLVM_DEBUG(dbgs() << "SLP: Replaced:" << *User << ".\n")do { } while (false);
5798 }
5799
5800 // For each vectorized value:
5801 for (auto &TEPtr : VectorizableTree) {
5802 TreeEntry *Entry = TEPtr.get();
5803
5804 // No need to handle users of gathered values.
5805 if (Entry->State == TreeEntry::NeedToGather)
5806 continue;
5807
5808 assert(Entry->VectorizedValue && "Can't find vectorizable value")(static_cast<void> (0));
5809
5810 // For each lane:
5811 for (int Lane = 0, LE = Entry->Scalars.size(); Lane != LE; ++Lane) {
5812 Value *Scalar = Entry->Scalars[Lane];
5813
5814#ifndef NDEBUG1
5815 Type *Ty = Scalar->getType();
5816 if (!Ty->isVoidTy()) {
5817 for (User *U : Scalar->users()) {
5818 LLVM_DEBUG(dbgs() << "SLP: \tvalidating user:" << *U << ".\n")do { } while (false);
5819
5820 // It is legal to delete users in the ignorelist.
5821 assert((getTreeEntry(U) || is_contained(UserIgnoreList, U) ||(static_cast<void> (0))
5822 (isa_and_nonnull<Instruction>(U) &&(static_cast<void> (0))
5823 isDeleted(cast<Instruction>(U)))) &&(static_cast<void> (0))
5824 "Deleting out-of-tree value")(static_cast<void> (0));
5825 }
5826 }
5827#endif
5828 LLVM_DEBUG(dbgs() << "SLP: \tErasing scalar:" << *Scalar << ".\n")do { } while (false);
5829 eraseInstruction(cast<Instruction>(Scalar));
5830 }
5831 }
5832
5833 Builder.ClearInsertionPoint();
5834 InstrElementSize.clear();
5835
5836 return VectorizableTree[0]->VectorizedValue;
5837}
5838
5839void BoUpSLP::optimizeGatherSequence() {
5840 LLVM_DEBUG(dbgs() << "SLP: Optimizing " << GatherSeq.size()do { } while (false)
5841 << " gather sequences instructions.\n")do { } while (false);
5842 // LICM InsertElementInst sequences.
5843 for (Instruction *I : GatherSeq) {
5844 if (isDeleted(I))
5845 continue;
5846
5847 // Check if this block is inside a loop.
5848 Loop *L = LI->getLoopFor(I->getParent());
5849 if (!L)
5850 continue;
5851
5852 // Check if it has a preheader.
5853 BasicBlock *PreHeader = L->getLoopPreheader();
5854 if (!PreHeader)
5855 continue;
5856
5857 // If the vector or the element that we insert into it are
5858 // instructions that are defined in this basic block then we can't
5859 // hoist this instruction.
5860 auto *Op0 = dyn_cast<Instruction>(I->getOperand(0));
5861 auto *Op1 = dyn_cast<Instruction>(I->getOperand(1));
5862 if (Op0 && L->contains(Op0))
5863 continue;
5864 if (Op1 && L->contains(Op1))
5865 continue;
5866
5867 // We can hoist this instruction. Move it to the pre-header.
5868 I->moveBefore(PreHeader->getTerminator());
5869 }
5870
5871 // Make a list of all reachable blocks in our CSE queue.
5872 SmallVector<const DomTreeNode *, 8> CSEWorkList;
5873 CSEWorkList.reserve(CSEBlocks.size());
5874 for (BasicBlock *BB : CSEBlocks)
5875 if (DomTreeNode *N = DT->getNode(BB)) {
5876 assert(DT->isReachableFromEntry(N))(static_cast<void> (0));
5877 CSEWorkList.push_back(N);
5878 }
5879
5880 // Sort blocks by domination. This ensures we visit a block after all blocks
5881 // dominating it are visited.
5882 llvm::sort(CSEWorkList, [](const DomTreeNode *A, const DomTreeNode *B) {
5883 assert((A == B) == (A->getDFSNumIn() == B->getDFSNumIn()) &&(static_cast<void> (0))
5884 "Different nodes should have different DFS numbers")(static_cast<void> (0));