| File: | llvm/lib/Transforms/Vectorize/LoopVectorize.cpp |
| Warning: | line 7270, column 35 Potential leak of memory pointed to by 'BlockMask' |
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| 1 | //===- LoopVectorize.cpp - A Loop 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 is the LLVM loop vectorizer. This pass modifies 'vectorizable' loops | ||||||||
| 10 | // and generates target-independent LLVM-IR. | ||||||||
| 11 | // The vectorizer uses the TargetTransformInfo analysis to estimate the costs | ||||||||
| 12 | // of instructions in order to estimate the profitability of vectorization. | ||||||||
| 13 | // | ||||||||
| 14 | // The loop vectorizer combines consecutive loop iterations into a single | ||||||||
| 15 | // 'wide' iteration. After this transformation the index is incremented | ||||||||
| 16 | // by the SIMD vector width, and not by one. | ||||||||
| 17 | // | ||||||||
| 18 | // This pass has three parts: | ||||||||
| 19 | // 1. The main loop pass that drives the different parts. | ||||||||
| 20 | // 2. LoopVectorizationLegality - A unit that checks for the legality | ||||||||
| 21 | // of the vectorization. | ||||||||
| 22 | // 3. InnerLoopVectorizer - A unit that performs the actual | ||||||||
| 23 | // widening of instructions. | ||||||||
| 24 | // 4. LoopVectorizationCostModel - A unit that checks for the profitability | ||||||||
| 25 | // of vectorization. It decides on the optimal vector width, which | ||||||||
| 26 | // can be one, if vectorization is not profitable. | ||||||||
| 27 | // | ||||||||
| 28 | // There is a development effort going on to migrate loop vectorizer to the | ||||||||
| 29 | // VPlan infrastructure and to introduce outer loop vectorization support (see | ||||||||
| 30 | // docs/Proposal/VectorizationPlan.rst and | ||||||||
| 31 | // http://lists.llvm.org/pipermail/llvm-dev/2017-December/119523.html). For this | ||||||||
| 32 | // purpose, we temporarily introduced the VPlan-native vectorization path: an | ||||||||
| 33 | // alternative vectorization path that is natively implemented on top of the | ||||||||
| 34 | // VPlan infrastructure. See EnableVPlanNativePath for enabling. | ||||||||
| 35 | // | ||||||||
| 36 | //===----------------------------------------------------------------------===// | ||||||||
| 37 | // | ||||||||
| 38 | // The reduction-variable vectorization is based on the paper: | ||||||||
| 39 | // D. Nuzman and R. Henderson. Multi-platform Auto-vectorization. | ||||||||
| 40 | // | ||||||||
| 41 | // Variable uniformity checks are inspired by: | ||||||||
| 42 | // Karrenberg, R. and Hack, S. Whole Function Vectorization. | ||||||||
| 43 | // | ||||||||
| 44 | // The interleaved access vectorization is based on the paper: | ||||||||
| 45 | // Dorit Nuzman, Ira Rosen and Ayal Zaks. Auto-Vectorization of Interleaved | ||||||||
| 46 | // Data for SIMD | ||||||||
| 47 | // | ||||||||
| 48 | // Other ideas/concepts are from: | ||||||||
| 49 | // A. Zaks and D. Nuzman. Autovectorization in GCC-two years later. | ||||||||
| 50 | // | ||||||||
| 51 | // S. Maleki, Y. Gao, M. Garzaran, T. Wong and D. Padua. An Evaluation of | ||||||||
| 52 | // Vectorizing Compilers. | ||||||||
| 53 | // | ||||||||
| 54 | //===----------------------------------------------------------------------===// | ||||||||
| 55 | |||||||||
| 56 | #include "llvm/Transforms/Vectorize/LoopVectorize.h" | ||||||||
| 57 | #include "LoopVectorizationPlanner.h" | ||||||||
| 58 | #include "VPRecipeBuilder.h" | ||||||||
| 59 | #include "VPlan.h" | ||||||||
| 60 | #include "VPlanHCFGBuilder.h" | ||||||||
| 61 | #include "VPlanPredicator.h" | ||||||||
| 62 | #include "VPlanTransforms.h" | ||||||||
| 63 | #include "llvm/ADT/APInt.h" | ||||||||
| 64 | #include "llvm/ADT/ArrayRef.h" | ||||||||
| 65 | #include "llvm/ADT/DenseMap.h" | ||||||||
| 66 | #include "llvm/ADT/DenseMapInfo.h" | ||||||||
| 67 | #include "llvm/ADT/Hashing.h" | ||||||||
| 68 | #include "llvm/ADT/MapVector.h" | ||||||||
| 69 | #include "llvm/ADT/None.h" | ||||||||
| 70 | #include "llvm/ADT/Optional.h" | ||||||||
| 71 | #include "llvm/ADT/STLExtras.h" | ||||||||
| 72 | #include "llvm/ADT/SetVector.h" | ||||||||
| 73 | #include "llvm/ADT/SmallPtrSet.h" | ||||||||
| 74 | #include "llvm/ADT/SmallVector.h" | ||||||||
| 75 | #include "llvm/ADT/Statistic.h" | ||||||||
| 76 | #include "llvm/ADT/StringRef.h" | ||||||||
| 77 | #include "llvm/ADT/Twine.h" | ||||||||
| 78 | #include "llvm/ADT/iterator_range.h" | ||||||||
| 79 | #include "llvm/Analysis/AssumptionCache.h" | ||||||||
| 80 | #include "llvm/Analysis/BasicAliasAnalysis.h" | ||||||||
| 81 | #include "llvm/Analysis/BlockFrequencyInfo.h" | ||||||||
| 82 | #include "llvm/Analysis/CFG.h" | ||||||||
| 83 | #include "llvm/Analysis/CodeMetrics.h" | ||||||||
| 84 | #include "llvm/Analysis/DemandedBits.h" | ||||||||
| 85 | #include "llvm/Analysis/GlobalsModRef.h" | ||||||||
| 86 | #include "llvm/Analysis/LoopAccessAnalysis.h" | ||||||||
| 87 | #include "llvm/Analysis/LoopAnalysisManager.h" | ||||||||
| 88 | #include "llvm/Analysis/LoopInfo.h" | ||||||||
| 89 | #include "llvm/Analysis/LoopIterator.h" | ||||||||
| 90 | #include "llvm/Analysis/MemorySSA.h" | ||||||||
| 91 | #include "llvm/Analysis/OptimizationRemarkEmitter.h" | ||||||||
| 92 | #include "llvm/Analysis/ProfileSummaryInfo.h" | ||||||||
| 93 | #include "llvm/Analysis/ScalarEvolution.h" | ||||||||
| 94 | #include "llvm/Analysis/ScalarEvolutionExpressions.h" | ||||||||
| 95 | #include "llvm/Analysis/TargetLibraryInfo.h" | ||||||||
| 96 | #include "llvm/Analysis/TargetTransformInfo.h" | ||||||||
| 97 | #include "llvm/Analysis/VectorUtils.h" | ||||||||
| 98 | #include "llvm/IR/Attributes.h" | ||||||||
| 99 | #include "llvm/IR/BasicBlock.h" | ||||||||
| 100 | #include "llvm/IR/CFG.h" | ||||||||
| 101 | #include "llvm/IR/Constant.h" | ||||||||
| 102 | #include "llvm/IR/Constants.h" | ||||||||
| 103 | #include "llvm/IR/DataLayout.h" | ||||||||
| 104 | #include "llvm/IR/DebugInfoMetadata.h" | ||||||||
| 105 | #include "llvm/IR/DebugLoc.h" | ||||||||
| 106 | #include "llvm/IR/DerivedTypes.h" | ||||||||
| 107 | #include "llvm/IR/DiagnosticInfo.h" | ||||||||
| 108 | #include "llvm/IR/Dominators.h" | ||||||||
| 109 | #include "llvm/IR/Function.h" | ||||||||
| 110 | #include "llvm/IR/IRBuilder.h" | ||||||||
| 111 | #include "llvm/IR/InstrTypes.h" | ||||||||
| 112 | #include "llvm/IR/Instruction.h" | ||||||||
| 113 | #include "llvm/IR/Instructions.h" | ||||||||
| 114 | #include "llvm/IR/IntrinsicInst.h" | ||||||||
| 115 | #include "llvm/IR/Intrinsics.h" | ||||||||
| 116 | #include "llvm/IR/LLVMContext.h" | ||||||||
| 117 | #include "llvm/IR/Metadata.h" | ||||||||
| 118 | #include "llvm/IR/Module.h" | ||||||||
| 119 | #include "llvm/IR/Operator.h" | ||||||||
| 120 | #include "llvm/IR/Type.h" | ||||||||
| 121 | #include "llvm/IR/Use.h" | ||||||||
| 122 | #include "llvm/IR/User.h" | ||||||||
| 123 | #include "llvm/IR/Value.h" | ||||||||
| 124 | #include "llvm/IR/ValueHandle.h" | ||||||||
| 125 | #include "llvm/IR/Verifier.h" | ||||||||
| 126 | #include "llvm/InitializePasses.h" | ||||||||
| 127 | #include "llvm/Pass.h" | ||||||||
| 128 | #include "llvm/Support/Casting.h" | ||||||||
| 129 | #include "llvm/Support/CommandLine.h" | ||||||||
| 130 | #include "llvm/Support/Compiler.h" | ||||||||
| 131 | #include "llvm/Support/Debug.h" | ||||||||
| 132 | #include "llvm/Support/ErrorHandling.h" | ||||||||
| 133 | #include "llvm/Support/MathExtras.h" | ||||||||
| 134 | #include "llvm/Support/raw_ostream.h" | ||||||||
| 135 | #include "llvm/Transforms/Utils/BasicBlockUtils.h" | ||||||||
| 136 | #include "llvm/Transforms/Utils/InjectTLIMappings.h" | ||||||||
| 137 | #include "llvm/Transforms/Utils/LoopSimplify.h" | ||||||||
| 138 | #include "llvm/Transforms/Utils/LoopUtils.h" | ||||||||
| 139 | #include "llvm/Transforms/Utils/LoopVersioning.h" | ||||||||
| 140 | #include "llvm/Transforms/Utils/ScalarEvolutionExpander.h" | ||||||||
| 141 | #include "llvm/Transforms/Utils/SizeOpts.h" | ||||||||
| 142 | #include "llvm/Transforms/Vectorize/LoopVectorizationLegality.h" | ||||||||
| 143 | #include <algorithm> | ||||||||
| 144 | #include <cassert> | ||||||||
| 145 | #include <cstdint> | ||||||||
| 146 | #include <cstdlib> | ||||||||
| 147 | #include <functional> | ||||||||
| 148 | #include <iterator> | ||||||||
| 149 | #include <limits> | ||||||||
| 150 | #include <memory> | ||||||||
| 151 | #include <string> | ||||||||
| 152 | #include <tuple> | ||||||||
| 153 | #include <utility> | ||||||||
| 154 | |||||||||
| 155 | using namespace llvm; | ||||||||
| 156 | |||||||||
| 157 | #define LV_NAME"loop-vectorize" "loop-vectorize" | ||||||||
| 158 | #define DEBUG_TYPE"loop-vectorize" LV_NAME"loop-vectorize" | ||||||||
| 159 | |||||||||
| 160 | /// @{ | ||||||||
| 161 | /// Metadata attribute names | ||||||||
| 162 | static const char *const LLVMLoopVectorizeFollowupAll = | ||||||||
| 163 | "llvm.loop.vectorize.followup_all"; | ||||||||
| 164 | static const char *const LLVMLoopVectorizeFollowupVectorized = | ||||||||
| 165 | "llvm.loop.vectorize.followup_vectorized"; | ||||||||
| 166 | static const char *const LLVMLoopVectorizeFollowupEpilogue = | ||||||||
| 167 | "llvm.loop.vectorize.followup_epilogue"; | ||||||||
| 168 | /// @} | ||||||||
| 169 | |||||||||
| 170 | STATISTIC(LoopsVectorized, "Number of loops vectorized")static llvm::Statistic LoopsVectorized = {"loop-vectorize", "LoopsVectorized" , "Number of loops vectorized"}; | ||||||||
| 171 | STATISTIC(LoopsAnalyzed, "Number of loops analyzed for vectorization")static llvm::Statistic LoopsAnalyzed = {"loop-vectorize", "LoopsAnalyzed" , "Number of loops analyzed for vectorization"}; | ||||||||
| 172 | |||||||||
| 173 | /// Loops with a known constant trip count below this number are vectorized only | ||||||||
| 174 | /// if no scalar iteration overheads are incurred. | ||||||||
| 175 | static cl::opt<unsigned> TinyTripCountVectorThreshold( | ||||||||
| 176 | "vectorizer-min-trip-count", cl::init(16), cl::Hidden, | ||||||||
| 177 | cl::desc("Loops with a constant trip count that is smaller than this " | ||||||||
| 178 | "value are vectorized only if no scalar iteration overheads " | ||||||||
| 179 | "are incurred.")); | ||||||||
| 180 | |||||||||
| 181 | // Option prefer-predicate-over-epilogue indicates that an epilogue is undesired, | ||||||||
| 182 | // that predication is preferred, and this lists all options. I.e., the | ||||||||
| 183 | // vectorizer will try to fold the tail-loop (epilogue) into the vector body | ||||||||
| 184 | // and predicate the instructions accordingly. If tail-folding fails, there are | ||||||||
| 185 | // different fallback strategies depending on these values: | ||||||||
| 186 | namespace PreferPredicateTy { | ||||||||
| 187 | enum Option { | ||||||||
| 188 | ScalarEpilogue = 0, | ||||||||
| 189 | PredicateElseScalarEpilogue, | ||||||||
| 190 | PredicateOrDontVectorize | ||||||||
| 191 | }; | ||||||||
| 192 | } // namespace PreferPredicateTy | ||||||||
| 193 | |||||||||
| 194 | static cl::opt<PreferPredicateTy::Option> PreferPredicateOverEpilogue( | ||||||||
| 195 | "prefer-predicate-over-epilogue", | ||||||||
| 196 | cl::init(PreferPredicateTy::ScalarEpilogue), | ||||||||
| 197 | cl::Hidden, | ||||||||
| 198 | cl::desc("Tail-folding and predication preferences over creating a scalar " | ||||||||
| 199 | "epilogue loop."), | ||||||||
| 200 | cl::values(clEnumValN(PreferPredicateTy::ScalarEpilogue,llvm::cl::OptionEnumValue { "scalar-epilogue", int(PreferPredicateTy ::ScalarEpilogue), "Don't tail-predicate loops, create scalar epilogue" } | ||||||||
| 201 | "scalar-epilogue",llvm::cl::OptionEnumValue { "scalar-epilogue", int(PreferPredicateTy ::ScalarEpilogue), "Don't tail-predicate loops, create scalar epilogue" } | ||||||||
| 202 | "Don't tail-predicate loops, create scalar epilogue")llvm::cl::OptionEnumValue { "scalar-epilogue", int(PreferPredicateTy ::ScalarEpilogue), "Don't tail-predicate loops, create scalar epilogue" }, | ||||||||
| 203 | clEnumValN(PreferPredicateTy::PredicateElseScalarEpilogue,llvm::cl::OptionEnumValue { "predicate-else-scalar-epilogue", int(PreferPredicateTy::PredicateElseScalarEpilogue), "prefer tail-folding, create scalar epilogue if tail " "folding fails." } | ||||||||
| 204 | "predicate-else-scalar-epilogue",llvm::cl::OptionEnumValue { "predicate-else-scalar-epilogue", int(PreferPredicateTy::PredicateElseScalarEpilogue), "prefer tail-folding, create scalar epilogue if tail " "folding fails." } | ||||||||
| 205 | "prefer tail-folding, create scalar epilogue if tail "llvm::cl::OptionEnumValue { "predicate-else-scalar-epilogue", int(PreferPredicateTy::PredicateElseScalarEpilogue), "prefer tail-folding, create scalar epilogue if tail " "folding fails." } | ||||||||
| 206 | "folding fails.")llvm::cl::OptionEnumValue { "predicate-else-scalar-epilogue", int(PreferPredicateTy::PredicateElseScalarEpilogue), "prefer tail-folding, create scalar epilogue if tail " "folding fails." }, | ||||||||
| 207 | clEnumValN(PreferPredicateTy::PredicateOrDontVectorize,llvm::cl::OptionEnumValue { "predicate-dont-vectorize", int(PreferPredicateTy ::PredicateOrDontVectorize), "prefers tail-folding, don't attempt vectorization if " "tail-folding fails." } | ||||||||
| 208 | "predicate-dont-vectorize",llvm::cl::OptionEnumValue { "predicate-dont-vectorize", int(PreferPredicateTy ::PredicateOrDontVectorize), "prefers tail-folding, don't attempt vectorization if " "tail-folding fails." } | ||||||||
| 209 | "prefers tail-folding, don't attempt vectorization if "llvm::cl::OptionEnumValue { "predicate-dont-vectorize", int(PreferPredicateTy ::PredicateOrDontVectorize), "prefers tail-folding, don't attempt vectorization if " "tail-folding fails." } | ||||||||
| 210 | "tail-folding fails.")llvm::cl::OptionEnumValue { "predicate-dont-vectorize", int(PreferPredicateTy ::PredicateOrDontVectorize), "prefers tail-folding, don't attempt vectorization if " "tail-folding fails." })); | ||||||||
| 211 | |||||||||
| 212 | static cl::opt<bool> MaximizeBandwidth( | ||||||||
| 213 | "vectorizer-maximize-bandwidth", cl::init(false), cl::Hidden, | ||||||||
| 214 | cl::desc("Maximize bandwidth when selecting vectorization factor which " | ||||||||
| 215 | "will be determined by the smallest type in loop.")); | ||||||||
| 216 | |||||||||
| 217 | static cl::opt<bool> EnableInterleavedMemAccesses( | ||||||||
| 218 | "enable-interleaved-mem-accesses", cl::init(false), cl::Hidden, | ||||||||
| 219 | cl::desc("Enable vectorization on interleaved memory accesses in a loop")); | ||||||||
| 220 | |||||||||
| 221 | /// An interleave-group may need masking if it resides in a block that needs | ||||||||
| 222 | /// predication, or in order to mask away gaps. | ||||||||
| 223 | static cl::opt<bool> EnableMaskedInterleavedMemAccesses( | ||||||||
| 224 | "enable-masked-interleaved-mem-accesses", cl::init(false), cl::Hidden, | ||||||||
| 225 | cl::desc("Enable vectorization on masked interleaved memory accesses in a loop")); | ||||||||
| 226 | |||||||||
| 227 | static cl::opt<unsigned> TinyTripCountInterleaveThreshold( | ||||||||
| 228 | "tiny-trip-count-interleave-threshold", cl::init(128), cl::Hidden, | ||||||||
| 229 | cl::desc("We don't interleave loops with a estimated constant trip count " | ||||||||
| 230 | "below this number")); | ||||||||
| 231 | |||||||||
| 232 | static cl::opt<unsigned> ForceTargetNumScalarRegs( | ||||||||
| 233 | "force-target-num-scalar-regs", cl::init(0), cl::Hidden, | ||||||||
| 234 | cl::desc("A flag that overrides the target's number of scalar registers.")); | ||||||||
| 235 | |||||||||
| 236 | static cl::opt<unsigned> ForceTargetNumVectorRegs( | ||||||||
| 237 | "force-target-num-vector-regs", cl::init(0), cl::Hidden, | ||||||||
| 238 | cl::desc("A flag that overrides the target's number of vector registers.")); | ||||||||
| 239 | |||||||||
| 240 | static cl::opt<unsigned> ForceTargetMaxScalarInterleaveFactor( | ||||||||
| 241 | "force-target-max-scalar-interleave", cl::init(0), cl::Hidden, | ||||||||
| 242 | cl::desc("A flag that overrides the target's max interleave factor for " | ||||||||
| 243 | "scalar loops.")); | ||||||||
| 244 | |||||||||
| 245 | static cl::opt<unsigned> ForceTargetMaxVectorInterleaveFactor( | ||||||||
| 246 | "force-target-max-vector-interleave", cl::init(0), cl::Hidden, | ||||||||
| 247 | cl::desc("A flag that overrides the target's max interleave factor for " | ||||||||
| 248 | "vectorized loops.")); | ||||||||
| 249 | |||||||||
| 250 | static cl::opt<unsigned> ForceTargetInstructionCost( | ||||||||
| 251 | "force-target-instruction-cost", cl::init(0), cl::Hidden, | ||||||||
| 252 | cl::desc("A flag that overrides the target's expected cost for " | ||||||||
| 253 | "an instruction to a single constant value. Mostly " | ||||||||
| 254 | "useful for getting consistent testing.")); | ||||||||
| 255 | |||||||||
| 256 | static cl::opt<unsigned> SmallLoopCost( | ||||||||
| 257 | "small-loop-cost", cl::init(20), cl::Hidden, | ||||||||
| 258 | cl::desc( | ||||||||
| 259 | "The cost of a loop that is considered 'small' by the interleaver.")); | ||||||||
| 260 | |||||||||
| 261 | static cl::opt<bool> LoopVectorizeWithBlockFrequency( | ||||||||
| 262 | "loop-vectorize-with-block-frequency", cl::init(true), cl::Hidden, | ||||||||
| 263 | cl::desc("Enable the use of the block frequency analysis to access PGO " | ||||||||
| 264 | "heuristics minimizing code growth in cold regions and being more " | ||||||||
| 265 | "aggressive in hot regions.")); | ||||||||
| 266 | |||||||||
| 267 | // Runtime interleave loops for load/store throughput. | ||||||||
| 268 | static cl::opt<bool> EnableLoadStoreRuntimeInterleave( | ||||||||
| 269 | "enable-loadstore-runtime-interleave", cl::init(true), cl::Hidden, | ||||||||
| 270 | cl::desc( | ||||||||
| 271 | "Enable runtime interleaving until load/store ports are saturated")); | ||||||||
| 272 | |||||||||
| 273 | /// Interleave small loops with scalar reductions. | ||||||||
| 274 | static cl::opt<bool> InterleaveSmallLoopScalarReduction( | ||||||||
| 275 | "interleave-small-loop-scalar-reduction", cl::init(false), cl::Hidden, | ||||||||
| 276 | cl::desc("Enable interleaving for loops with small iteration counts that " | ||||||||
| 277 | "contain scalar reductions to expose ILP.")); | ||||||||
| 278 | |||||||||
| 279 | /// The number of stores in a loop that are allowed to need predication. | ||||||||
| 280 | static cl::opt<unsigned> NumberOfStoresToPredicate( | ||||||||
| 281 | "vectorize-num-stores-pred", cl::init(1), cl::Hidden, | ||||||||
| 282 | cl::desc("Max number of stores to be predicated behind an if.")); | ||||||||
| 283 | |||||||||
| 284 | static cl::opt<bool> EnableIndVarRegisterHeur( | ||||||||
| 285 | "enable-ind-var-reg-heur", cl::init(true), cl::Hidden, | ||||||||
| 286 | cl::desc("Count the induction variable only once when interleaving")); | ||||||||
| 287 | |||||||||
| 288 | static cl::opt<bool> EnableCondStoresVectorization( | ||||||||
| 289 | "enable-cond-stores-vec", cl::init(true), cl::Hidden, | ||||||||
| 290 | cl::desc("Enable if predication of stores during vectorization.")); | ||||||||
| 291 | |||||||||
| 292 | static cl::opt<unsigned> MaxNestedScalarReductionIC( | ||||||||
| 293 | "max-nested-scalar-reduction-interleave", cl::init(2), cl::Hidden, | ||||||||
| 294 | cl::desc("The maximum interleave count to use when interleaving a scalar " | ||||||||
| 295 | "reduction in a nested loop.")); | ||||||||
| 296 | |||||||||
| 297 | static cl::opt<bool> | ||||||||
| 298 | PreferInLoopReductions("prefer-inloop-reductions", cl::init(false), | ||||||||
| 299 | cl::Hidden, | ||||||||
| 300 | cl::desc("Prefer in-loop vector reductions, " | ||||||||
| 301 | "overriding the targets preference.")); | ||||||||
| 302 | |||||||||
| 303 | static cl::opt<bool> PreferPredicatedReductionSelect( | ||||||||
| 304 | "prefer-predicated-reduction-select", cl::init(false), cl::Hidden, | ||||||||
| 305 | cl::desc( | ||||||||
| 306 | "Prefer predicating a reduction operation over an after loop select.")); | ||||||||
| 307 | |||||||||
| 308 | cl::opt<bool> EnableVPlanNativePath( | ||||||||
| 309 | "enable-vplan-native-path", cl::init(false), cl::Hidden, | ||||||||
| 310 | cl::desc("Enable VPlan-native vectorization path with " | ||||||||
| 311 | "support for outer loop vectorization.")); | ||||||||
| 312 | |||||||||
| 313 | // FIXME: Remove this switch once we have divergence analysis. Currently we | ||||||||
| 314 | // assume divergent non-backedge branches when this switch is true. | ||||||||
| 315 | cl::opt<bool> EnableVPlanPredication( | ||||||||
| 316 | "enable-vplan-predication", cl::init(false), cl::Hidden, | ||||||||
| 317 | cl::desc("Enable VPlan-native vectorization path predicator with " | ||||||||
| 318 | "support for outer loop vectorization.")); | ||||||||
| 319 | |||||||||
| 320 | // This flag enables the stress testing of the VPlan H-CFG construction in the | ||||||||
| 321 | // VPlan-native vectorization path. It must be used in conjuction with | ||||||||
| 322 | // -enable-vplan-native-path. -vplan-verify-hcfg can also be used to enable the | ||||||||
| 323 | // verification of the H-CFGs built. | ||||||||
| 324 | static cl::opt<bool> VPlanBuildStressTest( | ||||||||
| 325 | "vplan-build-stress-test", cl::init(false), cl::Hidden, | ||||||||
| 326 | cl::desc( | ||||||||
| 327 | "Build VPlan for every supported loop nest in the function and bail " | ||||||||
| 328 | "out right after the build (stress test the VPlan H-CFG construction " | ||||||||
| 329 | "in the VPlan-native vectorization path).")); | ||||||||
| 330 | |||||||||
| 331 | cl::opt<bool> llvm::EnableLoopInterleaving( | ||||||||
| 332 | "interleave-loops", cl::init(true), cl::Hidden, | ||||||||
| 333 | cl::desc("Enable loop interleaving in Loop vectorization passes")); | ||||||||
| 334 | cl::opt<bool> llvm::EnableLoopVectorization( | ||||||||
| 335 | "vectorize-loops", cl::init(true), cl::Hidden, | ||||||||
| 336 | cl::desc("Run the Loop vectorization passes")); | ||||||||
| 337 | |||||||||
| 338 | /// A helper function that returns the type of loaded or stored value. | ||||||||
| 339 | static Type *getMemInstValueType(Value *I) { | ||||||||
| 340 | assert((isa<LoadInst>(I) || isa<StoreInst>(I)) &&(((isa<LoadInst>(I) || isa<StoreInst>(I)) && "Expected Load or Store instruction") ? static_cast<void> (0) : __assert_fail ("(isa<LoadInst>(I) || isa<StoreInst>(I)) && \"Expected Load or Store instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 341, __PRETTY_FUNCTION__)) | ||||||||
| 341 | "Expected Load or Store instruction")(((isa<LoadInst>(I) || isa<StoreInst>(I)) && "Expected Load or Store instruction") ? static_cast<void> (0) : __assert_fail ("(isa<LoadInst>(I) || isa<StoreInst>(I)) && \"Expected Load or Store instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 341, __PRETTY_FUNCTION__)); | ||||||||
| 342 | if (auto *LI = dyn_cast<LoadInst>(I)) | ||||||||
| 343 | return LI->getType(); | ||||||||
| 344 | return cast<StoreInst>(I)->getValueOperand()->getType(); | ||||||||
| 345 | } | ||||||||
| 346 | |||||||||
| 347 | /// A helper function that returns true if the given type is irregular. The | ||||||||
| 348 | /// type is irregular if its allocated size doesn't equal the store size of an | ||||||||
| 349 | /// element of the corresponding vector type at the given vectorization factor. | ||||||||
| 350 | static bool hasIrregularType(Type *Ty, const DataLayout &DL, ElementCount VF) { | ||||||||
| 351 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 351, __PRETTY_FUNCTION__)); | ||||||||
| 352 | // Determine if an array of VF elements of type Ty is "bitcast compatible" | ||||||||
| 353 | // with a <VF x Ty> vector. | ||||||||
| 354 | if (VF.isVector()) { | ||||||||
| 355 | auto *VectorTy = VectorType::get(Ty, VF); | ||||||||
| 356 | return VF * DL.getTypeAllocSize(Ty) != DL.getTypeStoreSize(VectorTy); | ||||||||
| 357 | } | ||||||||
| 358 | |||||||||
| 359 | // If the vectorization factor is one, we just check if an array of type Ty | ||||||||
| 360 | // requires padding between elements. | ||||||||
| 361 | return DL.getTypeAllocSizeInBits(Ty) != DL.getTypeSizeInBits(Ty); | ||||||||
| 362 | } | ||||||||
| 363 | |||||||||
| 364 | /// A helper function that returns the reciprocal of the block probability of | ||||||||
| 365 | /// predicated blocks. If we return X, we are assuming the predicated block | ||||||||
| 366 | /// will execute once for every X iterations of the loop header. | ||||||||
| 367 | /// | ||||||||
| 368 | /// TODO: We should use actual block probability here, if available. Currently, | ||||||||
| 369 | /// we always assume predicated blocks have a 50% chance of executing. | ||||||||
| 370 | static unsigned getReciprocalPredBlockProb() { return 2; } | ||||||||
| 371 | |||||||||
| 372 | /// A helper function that adds a 'fast' flag to floating-point operations. | ||||||||
| 373 | static Value *addFastMathFlag(Value *V) { | ||||||||
| 374 | if (isa<FPMathOperator>(V)) | ||||||||
| 375 | cast<Instruction>(V)->setFastMathFlags(FastMathFlags::getFast()); | ||||||||
| 376 | return V; | ||||||||
| 377 | } | ||||||||
| 378 | |||||||||
| 379 | static Value *addFastMathFlag(Value *V, FastMathFlags FMF) { | ||||||||
| 380 | if (isa<FPMathOperator>(V)) | ||||||||
| 381 | cast<Instruction>(V)->setFastMathFlags(FMF); | ||||||||
| 382 | return V; | ||||||||
| 383 | } | ||||||||
| 384 | |||||||||
| 385 | /// A helper function that returns an integer or floating-point constant with | ||||||||
| 386 | /// value C. | ||||||||
| 387 | static Constant *getSignedIntOrFpConstant(Type *Ty, int64_t C) { | ||||||||
| 388 | return Ty->isIntegerTy() ? ConstantInt::getSigned(Ty, C) | ||||||||
| 389 | : ConstantFP::get(Ty, C); | ||||||||
| 390 | } | ||||||||
| 391 | |||||||||
| 392 | /// Returns "best known" trip count for the specified loop \p L as defined by | ||||||||
| 393 | /// the following procedure: | ||||||||
| 394 | /// 1) Returns exact trip count if it is known. | ||||||||
| 395 | /// 2) Returns expected trip count according to profile data if any. | ||||||||
| 396 | /// 3) Returns upper bound estimate if it is known. | ||||||||
| 397 | /// 4) Returns None if all of the above failed. | ||||||||
| 398 | static Optional<unsigned> getSmallBestKnownTC(ScalarEvolution &SE, Loop *L) { | ||||||||
| 399 | // Check if exact trip count is known. | ||||||||
| 400 | if (unsigned ExpectedTC = SE.getSmallConstantTripCount(L)) | ||||||||
| 401 | return ExpectedTC; | ||||||||
| 402 | |||||||||
| 403 | // Check if there is an expected trip count available from profile data. | ||||||||
| 404 | if (LoopVectorizeWithBlockFrequency) | ||||||||
| 405 | if (auto EstimatedTC = getLoopEstimatedTripCount(L)) | ||||||||
| 406 | return EstimatedTC; | ||||||||
| 407 | |||||||||
| 408 | // Check if upper bound estimate is known. | ||||||||
| 409 | if (unsigned ExpectedTC = SE.getSmallConstantMaxTripCount(L)) | ||||||||
| 410 | return ExpectedTC; | ||||||||
| 411 | |||||||||
| 412 | return None; | ||||||||
| 413 | } | ||||||||
| 414 | |||||||||
| 415 | namespace llvm { | ||||||||
| 416 | |||||||||
| 417 | /// InnerLoopVectorizer vectorizes loops which contain only one basic | ||||||||
| 418 | /// block to a specified vectorization factor (VF). | ||||||||
| 419 | /// This class performs the widening of scalars into vectors, or multiple | ||||||||
| 420 | /// scalars. This class also implements the following features: | ||||||||
| 421 | /// * It inserts an epilogue loop for handling loops that don't have iteration | ||||||||
| 422 | /// counts that are known to be a multiple of the vectorization factor. | ||||||||
| 423 | /// * It handles the code generation for reduction variables. | ||||||||
| 424 | /// * Scalarization (implementation using scalars) of un-vectorizable | ||||||||
| 425 | /// instructions. | ||||||||
| 426 | /// InnerLoopVectorizer does not perform any vectorization-legality | ||||||||
| 427 | /// checks, and relies on the caller to check for the different legality | ||||||||
| 428 | /// aspects. The InnerLoopVectorizer relies on the | ||||||||
| 429 | /// LoopVectorizationLegality class to provide information about the induction | ||||||||
| 430 | /// and reduction variables that were found to a given vectorization factor. | ||||||||
| 431 | class InnerLoopVectorizer { | ||||||||
| 432 | public: | ||||||||
| 433 | InnerLoopVectorizer(Loop *OrigLoop, PredicatedScalarEvolution &PSE, | ||||||||
| 434 | LoopInfo *LI, DominatorTree *DT, | ||||||||
| 435 | const TargetLibraryInfo *TLI, | ||||||||
| 436 | const TargetTransformInfo *TTI, AssumptionCache *AC, | ||||||||
| 437 | OptimizationRemarkEmitter *ORE, ElementCount VecWidth, | ||||||||
| 438 | unsigned UnrollFactor, LoopVectorizationLegality *LVL, | ||||||||
| 439 | LoopVectorizationCostModel *CM, BlockFrequencyInfo *BFI, | ||||||||
| 440 | ProfileSummaryInfo *PSI) | ||||||||
| 441 | : OrigLoop(OrigLoop), PSE(PSE), LI(LI), DT(DT), TLI(TLI), TTI(TTI), | ||||||||
| 442 | AC(AC), ORE(ORE), VF(VecWidth), UF(UnrollFactor), | ||||||||
| 443 | Builder(PSE.getSE()->getContext()), | ||||||||
| 444 | VectorLoopValueMap(UnrollFactor, VecWidth), Legal(LVL), Cost(CM), | ||||||||
| 445 | BFI(BFI), PSI(PSI) { | ||||||||
| 446 | // Query this against the original loop and save it here because the profile | ||||||||
| 447 | // of the original loop header may change as the transformation happens. | ||||||||
| 448 | OptForSizeBasedOnProfile = llvm::shouldOptimizeForSize( | ||||||||
| 449 | OrigLoop->getHeader(), PSI, BFI, PGSOQueryType::IRPass); | ||||||||
| 450 | } | ||||||||
| 451 | |||||||||
| 452 | virtual ~InnerLoopVectorizer() = default; | ||||||||
| 453 | |||||||||
| 454 | /// Create a new empty loop that will contain vectorized instructions later | ||||||||
| 455 | /// on, while the old loop will be used as the scalar remainder. Control flow | ||||||||
| 456 | /// is generated around the vectorized (and scalar epilogue) loops consisting | ||||||||
| 457 | /// of various checks and bypasses. Return the pre-header block of the new | ||||||||
| 458 | /// loop. | ||||||||
| 459 | BasicBlock *createVectorizedLoopSkeleton(); | ||||||||
| 460 | |||||||||
| 461 | /// Widen a single instruction within the innermost loop. | ||||||||
| 462 | void widenInstruction(Instruction &I, VPUser &Operands, | ||||||||
| 463 | VPTransformState &State); | ||||||||
| 464 | |||||||||
| 465 | /// Widen a single call instruction within the innermost loop. | ||||||||
| 466 | void widenCallInstruction(CallInst &I, VPUser &ArgOperands, | ||||||||
| 467 | VPTransformState &State); | ||||||||
| 468 | |||||||||
| 469 | /// Widen a single select instruction within the innermost loop. | ||||||||
| 470 | void widenSelectInstruction(SelectInst &I, VPUser &Operands, | ||||||||
| 471 | bool InvariantCond, VPTransformState &State); | ||||||||
| 472 | |||||||||
| 473 | /// Fix the vectorized code, taking care of header phi's, live-outs, and more. | ||||||||
| 474 | void fixVectorizedLoop(); | ||||||||
| 475 | |||||||||
| 476 | // Return true if any runtime check is added. | ||||||||
| 477 | bool areSafetyChecksAdded() { return AddedSafetyChecks; } | ||||||||
| 478 | |||||||||
| 479 | /// A type for vectorized values in the new loop. Each value from the | ||||||||
| 480 | /// original loop, when vectorized, is represented by UF vector values in the | ||||||||
| 481 | /// new unrolled loop, where UF is the unroll factor. | ||||||||
| 482 | using VectorParts = SmallVector<Value *, 2>; | ||||||||
| 483 | |||||||||
| 484 | /// Vectorize a single GetElementPtrInst based on information gathered and | ||||||||
| 485 | /// decisions taken during planning. | ||||||||
| 486 | void widenGEP(GetElementPtrInst *GEP, VPUser &Indices, unsigned UF, | ||||||||
| 487 | ElementCount VF, bool IsPtrLoopInvariant, | ||||||||
| 488 | SmallBitVector &IsIndexLoopInvariant, VPTransformState &State); | ||||||||
| 489 | |||||||||
| 490 | /// Vectorize a single PHINode in a block. This method handles the induction | ||||||||
| 491 | /// variable canonicalization. It supports both VF = 1 for unrolled loops and | ||||||||
| 492 | /// arbitrary length vectors. | ||||||||
| 493 | void widenPHIInstruction(Instruction *PN, unsigned UF, ElementCount VF); | ||||||||
| 494 | |||||||||
| 495 | /// A helper function to scalarize a single Instruction in the innermost loop. | ||||||||
| 496 | /// Generates a sequence of scalar instances for each lane between \p MinLane | ||||||||
| 497 | /// and \p MaxLane, times each part between \p MinPart and \p MaxPart, | ||||||||
| 498 | /// inclusive. Uses the VPValue operands from \p Operands instead of \p | ||||||||
| 499 | /// Instr's operands. | ||||||||
| 500 | void scalarizeInstruction(Instruction *Instr, VPUser &Operands, | ||||||||
| 501 | const VPIteration &Instance, bool IfPredicateInstr, | ||||||||
| 502 | VPTransformState &State); | ||||||||
| 503 | |||||||||
| 504 | /// Widen an integer or floating-point induction variable \p IV. If \p Trunc | ||||||||
| 505 | /// is provided, the integer induction variable will first be truncated to | ||||||||
| 506 | /// the corresponding type. | ||||||||
| 507 | void widenIntOrFpInduction(PHINode *IV, TruncInst *Trunc = nullptr); | ||||||||
| 508 | |||||||||
| 509 | /// getOrCreateVectorValue and getOrCreateScalarValue coordinate to generate a | ||||||||
| 510 | /// vector or scalar value on-demand if one is not yet available. When | ||||||||
| 511 | /// vectorizing a loop, we visit the definition of an instruction before its | ||||||||
| 512 | /// uses. When visiting the definition, we either vectorize or scalarize the | ||||||||
| 513 | /// instruction, creating an entry for it in the corresponding map. (In some | ||||||||
| 514 | /// cases, such as induction variables, we will create both vector and scalar | ||||||||
| 515 | /// entries.) Then, as we encounter uses of the definition, we derive values | ||||||||
| 516 | /// for each scalar or vector use unless such a value is already available. | ||||||||
| 517 | /// For example, if we scalarize a definition and one of its uses is vector, | ||||||||
| 518 | /// we build the required vector on-demand with an insertelement sequence | ||||||||
| 519 | /// when visiting the use. Otherwise, if the use is scalar, we can use the | ||||||||
| 520 | /// existing scalar definition. | ||||||||
| 521 | /// | ||||||||
| 522 | /// Return a value in the new loop corresponding to \p V from the original | ||||||||
| 523 | /// loop at unroll index \p Part. If the value has already been vectorized, | ||||||||
| 524 | /// the corresponding vector entry in VectorLoopValueMap is returned. If, | ||||||||
| 525 | /// however, the value has a scalar entry in VectorLoopValueMap, we construct | ||||||||
| 526 | /// a new vector value on-demand by inserting the scalar values into a vector | ||||||||
| 527 | /// with an insertelement sequence. If the value has been neither vectorized | ||||||||
| 528 | /// nor scalarized, it must be loop invariant, so we simply broadcast the | ||||||||
| 529 | /// value into a vector. | ||||||||
| 530 | Value *getOrCreateVectorValue(Value *V, unsigned Part); | ||||||||
| 531 | |||||||||
| 532 | /// Return a value in the new loop corresponding to \p V from the original | ||||||||
| 533 | /// loop at unroll and vector indices \p Instance. If the value has been | ||||||||
| 534 | /// vectorized but not scalarized, the necessary extractelement instruction | ||||||||
| 535 | /// will be generated. | ||||||||
| 536 | Value *getOrCreateScalarValue(Value *V, const VPIteration &Instance); | ||||||||
| 537 | |||||||||
| 538 | /// Construct the vector value of a scalarized value \p V one lane at a time. | ||||||||
| 539 | void packScalarIntoVectorValue(Value *V, const VPIteration &Instance); | ||||||||
| 540 | |||||||||
| 541 | /// Try to vectorize interleaved access group \p Group with the base address | ||||||||
| 542 | /// given in \p Addr, optionally masking the vector operations if \p | ||||||||
| 543 | /// BlockInMask is non-null. Use \p State to translate given VPValues to IR | ||||||||
| 544 | /// values in the vectorized loop. | ||||||||
| 545 | void vectorizeInterleaveGroup(const InterleaveGroup<Instruction> *Group, | ||||||||
| 546 | VPTransformState &State, VPValue *Addr, | ||||||||
| 547 | VPValue *BlockInMask = nullptr); | ||||||||
| 548 | |||||||||
| 549 | /// Vectorize Load and Store instructions with the base address given in \p | ||||||||
| 550 | /// Addr, optionally masking the vector operations if \p BlockInMask is | ||||||||
| 551 | /// non-null. Use \p State to translate given VPValues to IR values in the | ||||||||
| 552 | /// vectorized loop. | ||||||||
| 553 | void vectorizeMemoryInstruction(Instruction *Instr, VPTransformState &State, | ||||||||
| 554 | VPValue *Addr, VPValue *StoredValue, | ||||||||
| 555 | VPValue *BlockInMask); | ||||||||
| 556 | |||||||||
| 557 | /// Set the debug location in the builder using the debug location in | ||||||||
| 558 | /// the instruction. | ||||||||
| 559 | void setDebugLocFromInst(IRBuilder<> &B, const Value *Ptr); | ||||||||
| 560 | |||||||||
| 561 | /// Fix the non-induction PHIs in the OrigPHIsToFix vector. | ||||||||
| 562 | void fixNonInductionPHIs(void); | ||||||||
| 563 | |||||||||
| 564 | protected: | ||||||||
| 565 | friend class LoopVectorizationPlanner; | ||||||||
| 566 | |||||||||
| 567 | /// A small list of PHINodes. | ||||||||
| 568 | using PhiVector = SmallVector<PHINode *, 4>; | ||||||||
| 569 | |||||||||
| 570 | /// A type for scalarized values in the new loop. Each value from the | ||||||||
| 571 | /// original loop, when scalarized, is represented by UF x VF scalar values | ||||||||
| 572 | /// in the new unrolled loop, where UF is the unroll factor and VF is the | ||||||||
| 573 | /// vectorization factor. | ||||||||
| 574 | using ScalarParts = SmallVector<SmallVector<Value *, 4>, 2>; | ||||||||
| 575 | |||||||||
| 576 | /// Set up the values of the IVs correctly when exiting the vector loop. | ||||||||
| 577 | void fixupIVUsers(PHINode *OrigPhi, const InductionDescriptor &II, | ||||||||
| 578 | Value *CountRoundDown, Value *EndValue, | ||||||||
| 579 | BasicBlock *MiddleBlock); | ||||||||
| 580 | |||||||||
| 581 | /// Create a new induction variable inside L. | ||||||||
| 582 | PHINode *createInductionVariable(Loop *L, Value *Start, Value *End, | ||||||||
| 583 | Value *Step, Instruction *DL); | ||||||||
| 584 | |||||||||
| 585 | /// Handle all cross-iteration phis in the header. | ||||||||
| 586 | void fixCrossIterationPHIs(); | ||||||||
| 587 | |||||||||
| 588 | /// Fix a first-order recurrence. This is the second phase of vectorizing | ||||||||
| 589 | /// this phi node. | ||||||||
| 590 | void fixFirstOrderRecurrence(PHINode *Phi); | ||||||||
| 591 | |||||||||
| 592 | /// Fix a reduction cross-iteration phi. This is the second phase of | ||||||||
| 593 | /// vectorizing this phi node. | ||||||||
| 594 | void fixReduction(PHINode *Phi); | ||||||||
| 595 | |||||||||
| 596 | /// Clear NSW/NUW flags from reduction instructions if necessary. | ||||||||
| 597 | void clearReductionWrapFlags(RecurrenceDescriptor &RdxDesc); | ||||||||
| 598 | |||||||||
| 599 | /// The Loop exit block may have single value PHI nodes with some | ||||||||
| 600 | /// incoming value. While vectorizing we only handled real values | ||||||||
| 601 | /// that were defined inside the loop and we should have one value for | ||||||||
| 602 | /// each predecessor of its parent basic block. See PR14725. | ||||||||
| 603 | void fixLCSSAPHIs(); | ||||||||
| 604 | |||||||||
| 605 | /// Iteratively sink the scalarized operands of a predicated instruction into | ||||||||
| 606 | /// the block that was created for it. | ||||||||
| 607 | void sinkScalarOperands(Instruction *PredInst); | ||||||||
| 608 | |||||||||
| 609 | /// Shrinks vector element sizes to the smallest bitwidth they can be legally | ||||||||
| 610 | /// represented as. | ||||||||
| 611 | void truncateToMinimalBitwidths(); | ||||||||
| 612 | |||||||||
| 613 | /// Create a broadcast instruction. This method generates a broadcast | ||||||||
| 614 | /// instruction (shuffle) for loop invariant values and for the induction | ||||||||
| 615 | /// value. If this is the induction variable then we extend it to N, N+1, ... | ||||||||
| 616 | /// this is needed because each iteration in the loop corresponds to a SIMD | ||||||||
| 617 | /// element. | ||||||||
| 618 | virtual Value *getBroadcastInstrs(Value *V); | ||||||||
| 619 | |||||||||
| 620 | /// This function adds (StartIdx, StartIdx + Step, StartIdx + 2*Step, ...) | ||||||||
| 621 | /// to each vector element of Val. The sequence starts at StartIndex. | ||||||||
| 622 | /// \p Opcode is relevant for FP induction variable. | ||||||||
| 623 | virtual Value *getStepVector(Value *Val, int StartIdx, Value *Step, | ||||||||
| 624 | Instruction::BinaryOps Opcode = | ||||||||
| 625 | Instruction::BinaryOpsEnd); | ||||||||
| 626 | |||||||||
| 627 | /// Compute scalar induction steps. \p ScalarIV is the scalar induction | ||||||||
| 628 | /// variable on which to base the steps, \p Step is the size of the step, and | ||||||||
| 629 | /// \p EntryVal is the value from the original loop that maps to the steps. | ||||||||
| 630 | /// Note that \p EntryVal doesn't have to be an induction variable - it | ||||||||
| 631 | /// can also be a truncate instruction. | ||||||||
| 632 | void buildScalarSteps(Value *ScalarIV, Value *Step, Instruction *EntryVal, | ||||||||
| 633 | const InductionDescriptor &ID); | ||||||||
| 634 | |||||||||
| 635 | /// Create a vector induction phi node based on an existing scalar one. \p | ||||||||
| 636 | /// EntryVal is the value from the original loop that maps to the vector phi | ||||||||
| 637 | /// node, and \p Step is the loop-invariant step. If \p EntryVal is a | ||||||||
| 638 | /// truncate instruction, instead of widening the original IV, we widen a | ||||||||
| 639 | /// version of the IV truncated to \p EntryVal's type. | ||||||||
| 640 | void createVectorIntOrFpInductionPHI(const InductionDescriptor &II, | ||||||||
| 641 | Value *Step, Instruction *EntryVal); | ||||||||
| 642 | |||||||||
| 643 | /// Returns true if an instruction \p I should be scalarized instead of | ||||||||
| 644 | /// vectorized for the chosen vectorization factor. | ||||||||
| 645 | bool shouldScalarizeInstruction(Instruction *I) const; | ||||||||
| 646 | |||||||||
| 647 | /// Returns true if we should generate a scalar version of \p IV. | ||||||||
| 648 | bool needsScalarInduction(Instruction *IV) const; | ||||||||
| 649 | |||||||||
| 650 | /// If there is a cast involved in the induction variable \p ID, which should | ||||||||
| 651 | /// be ignored in the vectorized loop body, this function records the | ||||||||
| 652 | /// VectorLoopValue of the respective Phi also as the VectorLoopValue of the | ||||||||
| 653 | /// cast. We had already proved that the casted Phi is equal to the uncasted | ||||||||
| 654 | /// Phi in the vectorized loop (under a runtime guard), and therefore | ||||||||
| 655 | /// there is no need to vectorize the cast - the same value can be used in the | ||||||||
| 656 | /// vector loop for both the Phi and the cast. | ||||||||
| 657 | /// If \p VectorLoopValue is a scalarized value, \p Lane is also specified, | ||||||||
| 658 | /// Otherwise, \p VectorLoopValue is a widened/vectorized value. | ||||||||
| 659 | /// | ||||||||
| 660 | /// \p EntryVal is the value from the original loop that maps to the vector | ||||||||
| 661 | /// phi node and is used to distinguish what is the IV currently being | ||||||||
| 662 | /// processed - original one (if \p EntryVal is a phi corresponding to the | ||||||||
| 663 | /// original IV) or the "newly-created" one based on the proof mentioned above | ||||||||
| 664 | /// (see also buildScalarSteps() and createVectorIntOrFPInductionPHI()). In the | ||||||||
| 665 | /// latter case \p EntryVal is a TruncInst and we must not record anything for | ||||||||
| 666 | /// that IV, but it's error-prone to expect callers of this routine to care | ||||||||
| 667 | /// about that, hence this explicit parameter. | ||||||||
| 668 | void recordVectorLoopValueForInductionCast(const InductionDescriptor &ID, | ||||||||
| 669 | const Instruction *EntryVal, | ||||||||
| 670 | Value *VectorLoopValue, | ||||||||
| 671 | unsigned Part, | ||||||||
| 672 | unsigned Lane = UINT_MAX(2147483647 *2U +1U)); | ||||||||
| 673 | |||||||||
| 674 | /// Generate a shuffle sequence that will reverse the vector Vec. | ||||||||
| 675 | virtual Value *reverseVector(Value *Vec); | ||||||||
| 676 | |||||||||
| 677 | /// Returns (and creates if needed) the original loop trip count. | ||||||||
| 678 | Value *getOrCreateTripCount(Loop *NewLoop); | ||||||||
| 679 | |||||||||
| 680 | /// Returns (and creates if needed) the trip count of the widened loop. | ||||||||
| 681 | Value *getOrCreateVectorTripCount(Loop *NewLoop); | ||||||||
| 682 | |||||||||
| 683 | /// Returns a bitcasted value to the requested vector type. | ||||||||
| 684 | /// Also handles bitcasts of vector<float> <-> vector<pointer> types. | ||||||||
| 685 | Value *createBitOrPointerCast(Value *V, VectorType *DstVTy, | ||||||||
| 686 | const DataLayout &DL); | ||||||||
| 687 | |||||||||
| 688 | /// Emit a bypass check to see if the vector trip count is zero, including if | ||||||||
| 689 | /// it overflows. | ||||||||
| 690 | void emitMinimumIterationCountCheck(Loop *L, BasicBlock *Bypass); | ||||||||
| 691 | |||||||||
| 692 | /// Emit a bypass check to see if all of the SCEV assumptions we've | ||||||||
| 693 | /// had to make are correct. | ||||||||
| 694 | void emitSCEVChecks(Loop *L, BasicBlock *Bypass); | ||||||||
| 695 | |||||||||
| 696 | /// Emit bypass checks to check any memory assumptions we may have made. | ||||||||
| 697 | void emitMemRuntimeChecks(Loop *L, BasicBlock *Bypass); | ||||||||
| 698 | |||||||||
| 699 | /// Compute the transformed value of Index at offset StartValue using step | ||||||||
| 700 | /// StepValue. | ||||||||
| 701 | /// For integer induction, returns StartValue + Index * StepValue. | ||||||||
| 702 | /// For pointer induction, returns StartValue[Index * StepValue]. | ||||||||
| 703 | /// FIXME: The newly created binary instructions should contain nsw/nuw | ||||||||
| 704 | /// flags, which can be found from the original scalar operations. | ||||||||
| 705 | Value *emitTransformedIndex(IRBuilder<> &B, Value *Index, ScalarEvolution *SE, | ||||||||
| 706 | const DataLayout &DL, | ||||||||
| 707 | const InductionDescriptor &ID) const; | ||||||||
| 708 | |||||||||
| 709 | /// Emit basic blocks (prefixed with \p Prefix) for the iteration check, | ||||||||
| 710 | /// vector loop preheader, middle block and scalar preheader. Also | ||||||||
| 711 | /// allocate a loop object for the new vector loop and return it. | ||||||||
| 712 | Loop *createVectorLoopSkeleton(StringRef Prefix); | ||||||||
| 713 | |||||||||
| 714 | /// Create new phi nodes for the induction variables to resume iteration count | ||||||||
| 715 | /// in the scalar epilogue, from where the vectorized loop left off (given by | ||||||||
| 716 | /// \p VectorTripCount). | ||||||||
| 717 | void createInductionResumeValues(Loop *L, Value *VectorTripCount); | ||||||||
| 718 | |||||||||
| 719 | /// Complete the loop skeleton by adding debug MDs, creating appropriate | ||||||||
| 720 | /// conditional branches in the middle block, preparing the builder and | ||||||||
| 721 | /// running the verifier. Take in the vector loop \p L as argument, and return | ||||||||
| 722 | /// the preheader of the completed vector loop. | ||||||||
| 723 | BasicBlock *completeLoopSkeleton(Loop *L, MDNode *OrigLoopID); | ||||||||
| 724 | |||||||||
| 725 | /// Add additional metadata to \p To that was not present on \p Orig. | ||||||||
| 726 | /// | ||||||||
| 727 | /// Currently this is used to add the noalias annotations based on the | ||||||||
| 728 | /// inserted memchecks. Use this for instructions that are *cloned* into the | ||||||||
| 729 | /// vector loop. | ||||||||
| 730 | void addNewMetadata(Instruction *To, const Instruction *Orig); | ||||||||
| 731 | |||||||||
| 732 | /// Add metadata from one instruction to another. | ||||||||
| 733 | /// | ||||||||
| 734 | /// This includes both the original MDs from \p From and additional ones (\see | ||||||||
| 735 | /// addNewMetadata). Use this for *newly created* instructions in the vector | ||||||||
| 736 | /// loop. | ||||||||
| 737 | void addMetadata(Instruction *To, Instruction *From); | ||||||||
| 738 | |||||||||
| 739 | /// Similar to the previous function but it adds the metadata to a | ||||||||
| 740 | /// vector of instructions. | ||||||||
| 741 | void addMetadata(ArrayRef<Value *> To, Instruction *From); | ||||||||
| 742 | |||||||||
| 743 | /// The original loop. | ||||||||
| 744 | Loop *OrigLoop; | ||||||||
| 745 | |||||||||
| 746 | /// A wrapper around ScalarEvolution used to add runtime SCEV checks. Applies | ||||||||
| 747 | /// dynamic knowledge to simplify SCEV expressions and converts them to a | ||||||||
| 748 | /// more usable form. | ||||||||
| 749 | PredicatedScalarEvolution &PSE; | ||||||||
| 750 | |||||||||
| 751 | /// Loop Info. | ||||||||
| 752 | LoopInfo *LI; | ||||||||
| 753 | |||||||||
| 754 | /// Dominator Tree. | ||||||||
| 755 | DominatorTree *DT; | ||||||||
| 756 | |||||||||
| 757 | /// Alias Analysis. | ||||||||
| 758 | AAResults *AA; | ||||||||
| 759 | |||||||||
| 760 | /// Target Library Info. | ||||||||
| 761 | const TargetLibraryInfo *TLI; | ||||||||
| 762 | |||||||||
| 763 | /// Target Transform Info. | ||||||||
| 764 | const TargetTransformInfo *TTI; | ||||||||
| 765 | |||||||||
| 766 | /// Assumption Cache. | ||||||||
| 767 | AssumptionCache *AC; | ||||||||
| 768 | |||||||||
| 769 | /// Interface to emit optimization remarks. | ||||||||
| 770 | OptimizationRemarkEmitter *ORE; | ||||||||
| 771 | |||||||||
| 772 | /// LoopVersioning. It's only set up (non-null) if memchecks were | ||||||||
| 773 | /// used. | ||||||||
| 774 | /// | ||||||||
| 775 | /// This is currently only used to add no-alias metadata based on the | ||||||||
| 776 | /// memchecks. The actually versioning is performed manually. | ||||||||
| 777 | std::unique_ptr<LoopVersioning> LVer; | ||||||||
| 778 | |||||||||
| 779 | /// The vectorization SIMD factor to use. Each vector will have this many | ||||||||
| 780 | /// vector elements. | ||||||||
| 781 | ElementCount VF; | ||||||||
| 782 | |||||||||
| 783 | /// The vectorization unroll factor to use. Each scalar is vectorized to this | ||||||||
| 784 | /// many different vector instructions. | ||||||||
| 785 | unsigned UF; | ||||||||
| 786 | |||||||||
| 787 | /// The builder that we use | ||||||||
| 788 | IRBuilder<> Builder; | ||||||||
| 789 | |||||||||
| 790 | // --- Vectorization state --- | ||||||||
| 791 | |||||||||
| 792 | /// The vector-loop preheader. | ||||||||
| 793 | BasicBlock *LoopVectorPreHeader; | ||||||||
| 794 | |||||||||
| 795 | /// The scalar-loop preheader. | ||||||||
| 796 | BasicBlock *LoopScalarPreHeader; | ||||||||
| 797 | |||||||||
| 798 | /// Middle Block between the vector and the scalar. | ||||||||
| 799 | BasicBlock *LoopMiddleBlock; | ||||||||
| 800 | |||||||||
| 801 | /// The ExitBlock of the scalar loop. | ||||||||
| 802 | BasicBlock *LoopExitBlock; | ||||||||
| 803 | |||||||||
| 804 | /// The vector loop body. | ||||||||
| 805 | BasicBlock *LoopVectorBody; | ||||||||
| 806 | |||||||||
| 807 | /// The scalar loop body. | ||||||||
| 808 | BasicBlock *LoopScalarBody; | ||||||||
| 809 | |||||||||
| 810 | /// A list of all bypass blocks. The first block is the entry of the loop. | ||||||||
| 811 | SmallVector<BasicBlock *, 4> LoopBypassBlocks; | ||||||||
| 812 | |||||||||
| 813 | /// The new Induction variable which was added to the new block. | ||||||||
| 814 | PHINode *Induction = nullptr; | ||||||||
| 815 | |||||||||
| 816 | /// The induction variable of the old basic block. | ||||||||
| 817 | PHINode *OldInduction = nullptr; | ||||||||
| 818 | |||||||||
| 819 | /// Maps values from the original loop to their corresponding values in the | ||||||||
| 820 | /// vectorized loop. A key value can map to either vector values, scalar | ||||||||
| 821 | /// values or both kinds of values, depending on whether the key was | ||||||||
| 822 | /// vectorized and scalarized. | ||||||||
| 823 | VectorizerValueMap VectorLoopValueMap; | ||||||||
| 824 | |||||||||
| 825 | /// Store instructions that were predicated. | ||||||||
| 826 | SmallVector<Instruction *, 4> PredicatedInstructions; | ||||||||
| 827 | |||||||||
| 828 | /// Trip count of the original loop. | ||||||||
| 829 | Value *TripCount = nullptr; | ||||||||
| 830 | |||||||||
| 831 | /// Trip count of the widened loop (TripCount - TripCount % (VF*UF)) | ||||||||
| 832 | Value *VectorTripCount = nullptr; | ||||||||
| 833 | |||||||||
| 834 | /// The legality analysis. | ||||||||
| 835 | LoopVectorizationLegality *Legal; | ||||||||
| 836 | |||||||||
| 837 | /// The profitablity analysis. | ||||||||
| 838 | LoopVectorizationCostModel *Cost; | ||||||||
| 839 | |||||||||
| 840 | // Record whether runtime checks are added. | ||||||||
| 841 | bool AddedSafetyChecks = false; | ||||||||
| 842 | |||||||||
| 843 | // Holds the end values for each induction variable. We save the end values | ||||||||
| 844 | // so we can later fix-up the external users of the induction variables. | ||||||||
| 845 | DenseMap<PHINode *, Value *> IVEndValues; | ||||||||
| 846 | |||||||||
| 847 | // Vector of original scalar PHIs whose corresponding widened PHIs need to be | ||||||||
| 848 | // fixed up at the end of vector code generation. | ||||||||
| 849 | SmallVector<PHINode *, 8> OrigPHIsToFix; | ||||||||
| 850 | |||||||||
| 851 | /// BFI and PSI are used to check for profile guided size optimizations. | ||||||||
| 852 | BlockFrequencyInfo *BFI; | ||||||||
| 853 | ProfileSummaryInfo *PSI; | ||||||||
| 854 | |||||||||
| 855 | // Whether this loop should be optimized for size based on profile guided size | ||||||||
| 856 | // optimizatios. | ||||||||
| 857 | bool OptForSizeBasedOnProfile; | ||||||||
| 858 | }; | ||||||||
| 859 | |||||||||
| 860 | class InnerLoopUnroller : public InnerLoopVectorizer { | ||||||||
| 861 | public: | ||||||||
| 862 | InnerLoopUnroller(Loop *OrigLoop, PredicatedScalarEvolution &PSE, | ||||||||
| 863 | LoopInfo *LI, DominatorTree *DT, | ||||||||
| 864 | const TargetLibraryInfo *TLI, | ||||||||
| 865 | const TargetTransformInfo *TTI, AssumptionCache *AC, | ||||||||
| 866 | OptimizationRemarkEmitter *ORE, unsigned UnrollFactor, | ||||||||
| 867 | LoopVectorizationLegality *LVL, | ||||||||
| 868 | LoopVectorizationCostModel *CM, BlockFrequencyInfo *BFI, | ||||||||
| 869 | ProfileSummaryInfo *PSI) | ||||||||
| 870 | : InnerLoopVectorizer(OrigLoop, PSE, LI, DT, TLI, TTI, AC, ORE, | ||||||||
| 871 | ElementCount::getFixed(1), UnrollFactor, LVL, CM, | ||||||||
| 872 | BFI, PSI) {} | ||||||||
| 873 | |||||||||
| 874 | private: | ||||||||
| 875 | Value *getBroadcastInstrs(Value *V) override; | ||||||||
| 876 | Value *getStepVector(Value *Val, int StartIdx, Value *Step, | ||||||||
| 877 | Instruction::BinaryOps Opcode = | ||||||||
| 878 | Instruction::BinaryOpsEnd) override; | ||||||||
| 879 | Value *reverseVector(Value *Vec) override; | ||||||||
| 880 | }; | ||||||||
| 881 | |||||||||
| 882 | } // end namespace llvm | ||||||||
| 883 | |||||||||
| 884 | /// Look for a meaningful debug location on the instruction or it's | ||||||||
| 885 | /// operands. | ||||||||
| 886 | static Instruction *getDebugLocFromInstOrOperands(Instruction *I) { | ||||||||
| 887 | if (!I) | ||||||||
| 888 | return I; | ||||||||
| 889 | |||||||||
| 890 | DebugLoc Empty; | ||||||||
| 891 | if (I->getDebugLoc() != Empty) | ||||||||
| 892 | return I; | ||||||||
| 893 | |||||||||
| 894 | for (User::op_iterator OI = I->op_begin(), OE = I->op_end(); OI != OE; ++OI) { | ||||||||
| 895 | if (Instruction *OpInst = dyn_cast<Instruction>(*OI)) | ||||||||
| 896 | if (OpInst->getDebugLoc() != Empty) | ||||||||
| 897 | return OpInst; | ||||||||
| 898 | } | ||||||||
| 899 | |||||||||
| 900 | return I; | ||||||||
| 901 | } | ||||||||
| 902 | |||||||||
| 903 | void InnerLoopVectorizer::setDebugLocFromInst(IRBuilder<> &B, const Value *Ptr) { | ||||||||
| 904 | if (const Instruction *Inst = dyn_cast_or_null<Instruction>(Ptr)) { | ||||||||
| 905 | const DILocation *DIL = Inst->getDebugLoc(); | ||||||||
| 906 | if (DIL && Inst->getFunction()->isDebugInfoForProfiling() && | ||||||||
| 907 | !isa<DbgInfoIntrinsic>(Inst)) { | ||||||||
| 908 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 908, __PRETTY_FUNCTION__)); | ||||||||
| 909 | auto NewDIL = | ||||||||
| 910 | DIL->cloneByMultiplyingDuplicationFactor(UF * VF.getKnownMinValue()); | ||||||||
| 911 | if (NewDIL) | ||||||||
| 912 | B.SetCurrentDebugLocation(NewDIL.getValue()); | ||||||||
| 913 | else | ||||||||
| 914 | LLVM_DEBUG(dbgs()do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "Failed to create new discriminator: " << DIL->getFilename() << " Line: " << DIL ->getLine(); } } while (false) | ||||||||
| 915 | << "Failed to create new discriminator: "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "Failed to create new discriminator: " << DIL->getFilename() << " Line: " << DIL ->getLine(); } } while (false) | ||||||||
| 916 | << DIL->getFilename() << " Line: " << DIL->getLine())do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "Failed to create new discriminator: " << DIL->getFilename() << " Line: " << DIL ->getLine(); } } while (false); | ||||||||
| 917 | } | ||||||||
| 918 | else | ||||||||
| 919 | B.SetCurrentDebugLocation(DIL); | ||||||||
| 920 | } else | ||||||||
| 921 | B.SetCurrentDebugLocation(DebugLoc()); | ||||||||
| 922 | } | ||||||||
| 923 | |||||||||
| 924 | /// Write a record \p DebugMsg about vectorization failure to the debug | ||||||||
| 925 | /// output stream. If \p I is passed, it is an instruction that prevents | ||||||||
| 926 | /// vectorization. | ||||||||
| 927 | #ifndef NDEBUG | ||||||||
| 928 | static void debugVectorizationFailure(const StringRef DebugMsg, | ||||||||
| 929 | Instruction *I) { | ||||||||
| 930 | dbgs() << "LV: Not vectorizing: " << DebugMsg; | ||||||||
| 931 | if (I != nullptr) | ||||||||
| 932 | dbgs() << " " << *I; | ||||||||
| 933 | else | ||||||||
| 934 | dbgs() << '.'; | ||||||||
| 935 | dbgs() << '\n'; | ||||||||
| 936 | } | ||||||||
| 937 | #endif | ||||||||
| 938 | |||||||||
| 939 | /// Create an analysis remark that explains why vectorization failed | ||||||||
| 940 | /// | ||||||||
| 941 | /// \p PassName is the name of the pass (e.g. can be AlwaysPrint). \p | ||||||||
| 942 | /// RemarkName is the identifier for the remark. If \p I is passed it is an | ||||||||
| 943 | /// instruction that prevents vectorization. Otherwise \p TheLoop is used for | ||||||||
| 944 | /// the location of the remark. \return the remark object that can be | ||||||||
| 945 | /// streamed to. | ||||||||
| 946 | static OptimizationRemarkAnalysis createLVAnalysis(const char *PassName, | ||||||||
| 947 | StringRef RemarkName, Loop *TheLoop, Instruction *I) { | ||||||||
| 948 | Value *CodeRegion = TheLoop->getHeader(); | ||||||||
| 949 | DebugLoc DL = TheLoop->getStartLoc(); | ||||||||
| 950 | |||||||||
| 951 | if (I) { | ||||||||
| 952 | CodeRegion = I->getParent(); | ||||||||
| 953 | // If there is no debug location attached to the instruction, revert back to | ||||||||
| 954 | // using the loop's. | ||||||||
| 955 | if (I->getDebugLoc()) | ||||||||
| 956 | DL = I->getDebugLoc(); | ||||||||
| 957 | } | ||||||||
| 958 | |||||||||
| 959 | OptimizationRemarkAnalysis R(PassName, RemarkName, DL, CodeRegion); | ||||||||
| 960 | R << "loop not vectorized: "; | ||||||||
| 961 | return R; | ||||||||
| 962 | } | ||||||||
| 963 | |||||||||
| 964 | namespace llvm { | ||||||||
| 965 | |||||||||
| 966 | void reportVectorizationFailure(const StringRef DebugMsg, | ||||||||
| 967 | const StringRef OREMsg, const StringRef ORETag, | ||||||||
| 968 | OptimizationRemarkEmitter *ORE, Loop *TheLoop, Instruction *I) { | ||||||||
| 969 | LLVM_DEBUG(debugVectorizationFailure(DebugMsg, I))do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { debugVectorizationFailure(DebugMsg, I); } } while (false); | ||||||||
| 970 | LoopVectorizeHints Hints(TheLoop, true /* doesn't matter */, *ORE); | ||||||||
| 971 | ORE->emit(createLVAnalysis(Hints.vectorizeAnalysisPassName(), | ||||||||
| 972 | ORETag, TheLoop, I) << OREMsg); | ||||||||
| 973 | } | ||||||||
| 974 | |||||||||
| 975 | } // end namespace llvm | ||||||||
| 976 | |||||||||
| 977 | #ifndef NDEBUG | ||||||||
| 978 | /// \return string containing a file name and a line # for the given loop. | ||||||||
| 979 | static std::string getDebugLocString(const Loop *L) { | ||||||||
| 980 | std::string Result; | ||||||||
| 981 | if (L) { | ||||||||
| 982 | raw_string_ostream OS(Result); | ||||||||
| 983 | if (const DebugLoc LoopDbgLoc = L->getStartLoc()) | ||||||||
| 984 | LoopDbgLoc.print(OS); | ||||||||
| 985 | else | ||||||||
| 986 | // Just print the module name. | ||||||||
| 987 | OS << L->getHeader()->getParent()->getParent()->getModuleIdentifier(); | ||||||||
| 988 | OS.flush(); | ||||||||
| 989 | } | ||||||||
| 990 | return Result; | ||||||||
| 991 | } | ||||||||
| 992 | #endif | ||||||||
| 993 | |||||||||
| 994 | void InnerLoopVectorizer::addNewMetadata(Instruction *To, | ||||||||
| 995 | const Instruction *Orig) { | ||||||||
| 996 | // If the loop was versioned with memchecks, add the corresponding no-alias | ||||||||
| 997 | // metadata. | ||||||||
| 998 | if (LVer && (isa<LoadInst>(Orig) || isa<StoreInst>(Orig))) | ||||||||
| 999 | LVer->annotateInstWithNoAlias(To, Orig); | ||||||||
| 1000 | } | ||||||||
| 1001 | |||||||||
| 1002 | void InnerLoopVectorizer::addMetadata(Instruction *To, | ||||||||
| 1003 | Instruction *From) { | ||||||||
| 1004 | propagateMetadata(To, From); | ||||||||
| 1005 | addNewMetadata(To, From); | ||||||||
| 1006 | } | ||||||||
| 1007 | |||||||||
| 1008 | void InnerLoopVectorizer::addMetadata(ArrayRef<Value *> To, | ||||||||
| 1009 | Instruction *From) { | ||||||||
| 1010 | for (Value *V : To) { | ||||||||
| 1011 | if (Instruction *I = dyn_cast<Instruction>(V)) | ||||||||
| 1012 | addMetadata(I, From); | ||||||||
| 1013 | } | ||||||||
| 1014 | } | ||||||||
| 1015 | |||||||||
| 1016 | namespace llvm { | ||||||||
| 1017 | |||||||||
| 1018 | // Loop vectorization cost-model hints how the scalar epilogue loop should be | ||||||||
| 1019 | // lowered. | ||||||||
| 1020 | enum ScalarEpilogueLowering { | ||||||||
| 1021 | |||||||||
| 1022 | // The default: allowing scalar epilogues. | ||||||||
| 1023 | CM_ScalarEpilogueAllowed, | ||||||||
| 1024 | |||||||||
| 1025 | // Vectorization with OptForSize: don't allow epilogues. | ||||||||
| 1026 | CM_ScalarEpilogueNotAllowedOptSize, | ||||||||
| 1027 | |||||||||
| 1028 | // A special case of vectorisation with OptForSize: loops with a very small | ||||||||
| 1029 | // trip count are considered for vectorization under OptForSize, thereby | ||||||||
| 1030 | // making sure the cost of their loop body is dominant, free of runtime | ||||||||
| 1031 | // guards and scalar iteration overheads. | ||||||||
| 1032 | CM_ScalarEpilogueNotAllowedLowTripLoop, | ||||||||
| 1033 | |||||||||
| 1034 | // Loop hint predicate indicating an epilogue is undesired. | ||||||||
| 1035 | CM_ScalarEpilogueNotNeededUsePredicate | ||||||||
| 1036 | }; | ||||||||
| 1037 | |||||||||
| 1038 | /// LoopVectorizationCostModel - estimates the expected speedups due to | ||||||||
| 1039 | /// vectorization. | ||||||||
| 1040 | /// In many cases vectorization is not profitable. This can happen because of | ||||||||
| 1041 | /// a number of reasons. In this class we mainly attempt to predict the | ||||||||
| 1042 | /// expected speedup/slowdowns due to the supported instruction set. We use the | ||||||||
| 1043 | /// TargetTransformInfo to query the different backends for the cost of | ||||||||
| 1044 | /// different operations. | ||||||||
| 1045 | class LoopVectorizationCostModel { | ||||||||
| 1046 | public: | ||||||||
| 1047 | LoopVectorizationCostModel(ScalarEpilogueLowering SEL, Loop *L, | ||||||||
| 1048 | PredicatedScalarEvolution &PSE, LoopInfo *LI, | ||||||||
| 1049 | LoopVectorizationLegality *Legal, | ||||||||
| 1050 | const TargetTransformInfo &TTI, | ||||||||
| 1051 | const TargetLibraryInfo *TLI, DemandedBits *DB, | ||||||||
| 1052 | AssumptionCache *AC, | ||||||||
| 1053 | OptimizationRemarkEmitter *ORE, const Function *F, | ||||||||
| 1054 | const LoopVectorizeHints *Hints, | ||||||||
| 1055 | InterleavedAccessInfo &IAI) | ||||||||
| 1056 | : ScalarEpilogueStatus(SEL), TheLoop(L), PSE(PSE), LI(LI), Legal(Legal), | ||||||||
| 1057 | TTI(TTI), TLI(TLI), DB(DB), AC(AC), ORE(ORE), TheFunction(F), | ||||||||
| 1058 | Hints(Hints), InterleaveInfo(IAI) {} | ||||||||
| 1059 | |||||||||
| 1060 | /// \return An upper bound for the vectorization factor, or None if | ||||||||
| 1061 | /// vectorization and interleaving should be avoided up front. | ||||||||
| 1062 | Optional<unsigned> computeMaxVF(unsigned UserVF, unsigned UserIC); | ||||||||
| 1063 | |||||||||
| 1064 | /// \return True if runtime checks are required for vectorization, and false | ||||||||
| 1065 | /// otherwise. | ||||||||
| 1066 | bool runtimeChecksRequired(); | ||||||||
| 1067 | |||||||||
| 1068 | /// \return The most profitable vectorization factor and the cost of that VF. | ||||||||
| 1069 | /// This method checks every power of two up to MaxVF. If UserVF is not ZERO | ||||||||
| 1070 | /// then this vectorization factor will be selected if vectorization is | ||||||||
| 1071 | /// possible. | ||||||||
| 1072 | VectorizationFactor selectVectorizationFactor(unsigned MaxVF); | ||||||||
| 1073 | |||||||||
| 1074 | /// Setup cost-based decisions for user vectorization factor. | ||||||||
| 1075 | void selectUserVectorizationFactor(ElementCount UserVF) { | ||||||||
| 1076 | collectUniformsAndScalars(UserVF); | ||||||||
| 1077 | collectInstsToScalarize(UserVF); | ||||||||
| 1078 | } | ||||||||
| 1079 | |||||||||
| 1080 | /// \return The size (in bits) of the smallest and widest types in the code | ||||||||
| 1081 | /// that needs to be vectorized. We ignore values that remain scalar such as | ||||||||
| 1082 | /// 64 bit loop indices. | ||||||||
| 1083 | std::pair<unsigned, unsigned> getSmallestAndWidestTypes(); | ||||||||
| 1084 | |||||||||
| 1085 | /// \return The desired interleave count. | ||||||||
| 1086 | /// If interleave count has been specified by metadata it will be returned. | ||||||||
| 1087 | /// Otherwise, the interleave count is computed and returned. VF and LoopCost | ||||||||
| 1088 | /// are the selected vectorization factor and the cost of the selected VF. | ||||||||
| 1089 | unsigned selectInterleaveCount(ElementCount VF, unsigned LoopCost); | ||||||||
| 1090 | |||||||||
| 1091 | /// Memory access instruction may be vectorized in more than one way. | ||||||||
| 1092 | /// Form of instruction after vectorization depends on cost. | ||||||||
| 1093 | /// This function takes cost-based decisions for Load/Store instructions | ||||||||
| 1094 | /// and collects them in a map. This decisions map is used for building | ||||||||
| 1095 | /// the lists of loop-uniform and loop-scalar instructions. | ||||||||
| 1096 | /// The calculated cost is saved with widening decision in order to | ||||||||
| 1097 | /// avoid redundant calculations. | ||||||||
| 1098 | void setCostBasedWideningDecision(ElementCount VF); | ||||||||
| 1099 | |||||||||
| 1100 | /// A struct that represents some properties of the register usage | ||||||||
| 1101 | /// of a loop. | ||||||||
| 1102 | struct RegisterUsage { | ||||||||
| 1103 | /// Holds the number of loop invariant values that are used in the loop. | ||||||||
| 1104 | /// The key is ClassID of target-provided register class. | ||||||||
| 1105 | SmallMapVector<unsigned, unsigned, 4> LoopInvariantRegs; | ||||||||
| 1106 | /// Holds the maximum number of concurrent live intervals in the loop. | ||||||||
| 1107 | /// The key is ClassID of target-provided register class. | ||||||||
| 1108 | SmallMapVector<unsigned, unsigned, 4> MaxLocalUsers; | ||||||||
| 1109 | }; | ||||||||
| 1110 | |||||||||
| 1111 | /// \return Returns information about the register usages of the loop for the | ||||||||
| 1112 | /// given vectorization factors. | ||||||||
| 1113 | SmallVector<RegisterUsage, 8> | ||||||||
| 1114 | calculateRegisterUsage(ArrayRef<ElementCount> VFs); | ||||||||
| 1115 | |||||||||
| 1116 | /// Collect values we want to ignore in the cost model. | ||||||||
| 1117 | void collectValuesToIgnore(); | ||||||||
| 1118 | |||||||||
| 1119 | /// Split reductions into those that happen in the loop, and those that happen | ||||||||
| 1120 | /// outside. In loop reductions are collected into InLoopReductionChains. | ||||||||
| 1121 | void collectInLoopReductions(); | ||||||||
| 1122 | |||||||||
| 1123 | /// \returns The smallest bitwidth each instruction can be represented with. | ||||||||
| 1124 | /// The vector equivalents of these instructions should be truncated to this | ||||||||
| 1125 | /// type. | ||||||||
| 1126 | const MapVector<Instruction *, uint64_t> &getMinimalBitwidths() const { | ||||||||
| 1127 | return MinBWs; | ||||||||
| 1128 | } | ||||||||
| 1129 | |||||||||
| 1130 | /// \returns True if it is more profitable to scalarize instruction \p I for | ||||||||
| 1131 | /// vectorization factor \p VF. | ||||||||
| 1132 | bool isProfitableToScalarize(Instruction *I, ElementCount VF) const { | ||||||||
| 1133 | assert(VF.isVector() &&((VF.isVector() && "Profitable to scalarize relevant only for VF > 1." ) ? static_cast<void> (0) : __assert_fail ("VF.isVector() && \"Profitable to scalarize relevant only for VF > 1.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1134, __PRETTY_FUNCTION__)) | ||||||||
| 1134 | "Profitable to scalarize relevant only for VF > 1.")((VF.isVector() && "Profitable to scalarize relevant only for VF > 1." ) ? static_cast<void> (0) : __assert_fail ("VF.isVector() && \"Profitable to scalarize relevant only for VF > 1.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1134, __PRETTY_FUNCTION__)); | ||||||||
| 1135 | |||||||||
| 1136 | // Cost model is not run in the VPlan-native path - return conservative | ||||||||
| 1137 | // result until this changes. | ||||||||
| 1138 | if (EnableVPlanNativePath) | ||||||||
| 1139 | return false; | ||||||||
| 1140 | |||||||||
| 1141 | auto Scalars = InstsToScalarize.find(VF); | ||||||||
| 1142 | assert(Scalars != InstsToScalarize.end() &&((Scalars != InstsToScalarize.end() && "VF not yet analyzed for scalarization profitability" ) ? static_cast<void> (0) : __assert_fail ("Scalars != InstsToScalarize.end() && \"VF not yet analyzed for scalarization profitability\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1143, __PRETTY_FUNCTION__)) | ||||||||
| 1143 | "VF not yet analyzed for scalarization profitability")((Scalars != InstsToScalarize.end() && "VF not yet analyzed for scalarization profitability" ) ? static_cast<void> (0) : __assert_fail ("Scalars != InstsToScalarize.end() && \"VF not yet analyzed for scalarization profitability\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1143, __PRETTY_FUNCTION__)); | ||||||||
| 1144 | return Scalars->second.find(I) != Scalars->second.end(); | ||||||||
| 1145 | } | ||||||||
| 1146 | |||||||||
| 1147 | /// Returns true if \p I is known to be uniform after vectorization. | ||||||||
| 1148 | bool isUniformAfterVectorization(Instruction *I, ElementCount VF) const { | ||||||||
| 1149 | if (VF.isScalar()) | ||||||||
| 1150 | return true; | ||||||||
| 1151 | |||||||||
| 1152 | // Cost model is not run in the VPlan-native path - return conservative | ||||||||
| 1153 | // result until this changes. | ||||||||
| 1154 | if (EnableVPlanNativePath) | ||||||||
| 1155 | return false; | ||||||||
| 1156 | |||||||||
| 1157 | auto UniformsPerVF = Uniforms.find(VF); | ||||||||
| 1158 | assert(UniformsPerVF != Uniforms.end() &&((UniformsPerVF != Uniforms.end() && "VF not yet analyzed for uniformity" ) ? static_cast<void> (0) : __assert_fail ("UniformsPerVF != Uniforms.end() && \"VF not yet analyzed for uniformity\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1159, __PRETTY_FUNCTION__)) | ||||||||
| 1159 | "VF not yet analyzed for uniformity")((UniformsPerVF != Uniforms.end() && "VF not yet analyzed for uniformity" ) ? static_cast<void> (0) : __assert_fail ("UniformsPerVF != Uniforms.end() && \"VF not yet analyzed for uniformity\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1159, __PRETTY_FUNCTION__)); | ||||||||
| 1160 | return UniformsPerVF->second.count(I); | ||||||||
| 1161 | } | ||||||||
| 1162 | |||||||||
| 1163 | /// Returns true if \p I is known to be scalar after vectorization. | ||||||||
| 1164 | bool isScalarAfterVectorization(Instruction *I, ElementCount VF) const { | ||||||||
| 1165 | if (VF.isScalar()) | ||||||||
| 1166 | return true; | ||||||||
| 1167 | |||||||||
| 1168 | // Cost model is not run in the VPlan-native path - return conservative | ||||||||
| 1169 | // result until this changes. | ||||||||
| 1170 | if (EnableVPlanNativePath) | ||||||||
| 1171 | return false; | ||||||||
| 1172 | |||||||||
| 1173 | auto ScalarsPerVF = Scalars.find(VF); | ||||||||
| 1174 | assert(ScalarsPerVF != Scalars.end() &&((ScalarsPerVF != Scalars.end() && "Scalar values are not calculated for VF" ) ? static_cast<void> (0) : __assert_fail ("ScalarsPerVF != Scalars.end() && \"Scalar values are not calculated for VF\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1175, __PRETTY_FUNCTION__)) | ||||||||
| 1175 | "Scalar values are not calculated for VF")((ScalarsPerVF != Scalars.end() && "Scalar values are not calculated for VF" ) ? static_cast<void> (0) : __assert_fail ("ScalarsPerVF != Scalars.end() && \"Scalar values are not calculated for VF\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1175, __PRETTY_FUNCTION__)); | ||||||||
| 1176 | return ScalarsPerVF->second.count(I); | ||||||||
| 1177 | } | ||||||||
| 1178 | |||||||||
| 1179 | /// \returns True if instruction \p I can be truncated to a smaller bitwidth | ||||||||
| 1180 | /// for vectorization factor \p VF. | ||||||||
| 1181 | bool canTruncateToMinimalBitwidth(Instruction *I, ElementCount VF) const { | ||||||||
| 1182 | return VF.isVector() && MinBWs.find(I) != MinBWs.end() && | ||||||||
| 1183 | !isProfitableToScalarize(I, VF) && | ||||||||
| 1184 | !isScalarAfterVectorization(I, VF); | ||||||||
| 1185 | } | ||||||||
| 1186 | |||||||||
| 1187 | /// Decision that was taken during cost calculation for memory instruction. | ||||||||
| 1188 | enum InstWidening { | ||||||||
| 1189 | CM_Unknown, | ||||||||
| 1190 | CM_Widen, // For consecutive accesses with stride +1. | ||||||||
| 1191 | CM_Widen_Reverse, // For consecutive accesses with stride -1. | ||||||||
| 1192 | CM_Interleave, | ||||||||
| 1193 | CM_GatherScatter, | ||||||||
| 1194 | CM_Scalarize | ||||||||
| 1195 | }; | ||||||||
| 1196 | |||||||||
| 1197 | /// Save vectorization decision \p W and \p Cost taken by the cost model for | ||||||||
| 1198 | /// instruction \p I and vector width \p VF. | ||||||||
| 1199 | void setWideningDecision(Instruction *I, ElementCount VF, InstWidening W, | ||||||||
| 1200 | unsigned Cost) { | ||||||||
| 1201 | assert(VF.isVector() && "Expected VF >=2")((VF.isVector() && "Expected VF >=2") ? static_cast <void> (0) : __assert_fail ("VF.isVector() && \"Expected VF >=2\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1201, __PRETTY_FUNCTION__)); | ||||||||
| 1202 | WideningDecisions[std::make_pair(I, VF)] = std::make_pair(W, Cost); | ||||||||
| 1203 | } | ||||||||
| 1204 | |||||||||
| 1205 | /// Save vectorization decision \p W and \p Cost taken by the cost model for | ||||||||
| 1206 | /// interleaving group \p Grp and vector width \p VF. | ||||||||
| 1207 | void setWideningDecision(const InterleaveGroup<Instruction> *Grp, | ||||||||
| 1208 | ElementCount VF, InstWidening W, unsigned Cost) { | ||||||||
| 1209 | assert(VF.isVector() && "Expected VF >=2")((VF.isVector() && "Expected VF >=2") ? static_cast <void> (0) : __assert_fail ("VF.isVector() && \"Expected VF >=2\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1209, __PRETTY_FUNCTION__)); | ||||||||
| 1210 | /// Broadcast this decicion to all instructions inside the group. | ||||||||
| 1211 | /// But the cost will be assigned to one instruction only. | ||||||||
| 1212 | for (unsigned i = 0; i < Grp->getFactor(); ++i) { | ||||||||
| 1213 | if (auto *I = Grp->getMember(i)) { | ||||||||
| 1214 | if (Grp->getInsertPos() == I) | ||||||||
| 1215 | WideningDecisions[std::make_pair(I, VF)] = std::make_pair(W, Cost); | ||||||||
| 1216 | else | ||||||||
| 1217 | WideningDecisions[std::make_pair(I, VF)] = std::make_pair(W, 0); | ||||||||
| 1218 | } | ||||||||
| 1219 | } | ||||||||
| 1220 | } | ||||||||
| 1221 | |||||||||
| 1222 | /// Return the cost model decision for the given instruction \p I and vector | ||||||||
| 1223 | /// width \p VF. Return CM_Unknown if this instruction did not pass | ||||||||
| 1224 | /// through the cost modeling. | ||||||||
| 1225 | InstWidening getWideningDecision(Instruction *I, ElementCount VF) { | ||||||||
| 1226 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1226, __PRETTY_FUNCTION__)); | ||||||||
| 1227 | assert(VF.isVector() && "Expected VF >=2")((VF.isVector() && "Expected VF >=2") ? static_cast <void> (0) : __assert_fail ("VF.isVector() && \"Expected VF >=2\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1227, __PRETTY_FUNCTION__)); | ||||||||
| 1228 | |||||||||
| 1229 | // Cost model is not run in the VPlan-native path - return conservative | ||||||||
| 1230 | // result until this changes. | ||||||||
| 1231 | if (EnableVPlanNativePath) | ||||||||
| 1232 | return CM_GatherScatter; | ||||||||
| 1233 | |||||||||
| 1234 | std::pair<Instruction *, ElementCount> InstOnVF = std::make_pair(I, VF); | ||||||||
| 1235 | auto Itr = WideningDecisions.find(InstOnVF); | ||||||||
| 1236 | if (Itr == WideningDecisions.end()) | ||||||||
| 1237 | return CM_Unknown; | ||||||||
| 1238 | return Itr->second.first; | ||||||||
| 1239 | } | ||||||||
| 1240 | |||||||||
| 1241 | /// Return the vectorization cost for the given instruction \p I and vector | ||||||||
| 1242 | /// width \p VF. | ||||||||
| 1243 | unsigned getWideningCost(Instruction *I, ElementCount VF) { | ||||||||
| 1244 | assert(VF.isVector() && "Expected VF >=2")((VF.isVector() && "Expected VF >=2") ? static_cast <void> (0) : __assert_fail ("VF.isVector() && \"Expected VF >=2\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1244, __PRETTY_FUNCTION__)); | ||||||||
| 1245 | std::pair<Instruction *, ElementCount> InstOnVF = std::make_pair(I, VF); | ||||||||
| 1246 | assert(WideningDecisions.find(InstOnVF) != WideningDecisions.end() &&((WideningDecisions.find(InstOnVF) != WideningDecisions.end() && "The cost is not calculated") ? static_cast<void > (0) : __assert_fail ("WideningDecisions.find(InstOnVF) != WideningDecisions.end() && \"The cost is not calculated\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1247, __PRETTY_FUNCTION__)) | ||||||||
| 1247 | "The cost is not calculated")((WideningDecisions.find(InstOnVF) != WideningDecisions.end() && "The cost is not calculated") ? static_cast<void > (0) : __assert_fail ("WideningDecisions.find(InstOnVF) != WideningDecisions.end() && \"The cost is not calculated\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1247, __PRETTY_FUNCTION__)); | ||||||||
| 1248 | return WideningDecisions[InstOnVF].second; | ||||||||
| 1249 | } | ||||||||
| 1250 | |||||||||
| 1251 | /// Return True if instruction \p I is an optimizable truncate whose operand | ||||||||
| 1252 | /// is an induction variable. Such a truncate will be removed by adding a new | ||||||||
| 1253 | /// induction variable with the destination type. | ||||||||
| 1254 | bool isOptimizableIVTruncate(Instruction *I, ElementCount VF) { | ||||||||
| 1255 | // If the instruction is not a truncate, return false. | ||||||||
| 1256 | auto *Trunc = dyn_cast<TruncInst>(I); | ||||||||
| 1257 | if (!Trunc) | ||||||||
| 1258 | return false; | ||||||||
| 1259 | |||||||||
| 1260 | // Get the source and destination types of the truncate. | ||||||||
| 1261 | Type *SrcTy = ToVectorTy(cast<CastInst>(I)->getSrcTy(), VF); | ||||||||
| 1262 | Type *DestTy = ToVectorTy(cast<CastInst>(I)->getDestTy(), VF); | ||||||||
| 1263 | |||||||||
| 1264 | // If the truncate is free for the given types, return false. Replacing a | ||||||||
| 1265 | // free truncate with an induction variable would add an induction variable | ||||||||
| 1266 | // update instruction to each iteration of the loop. We exclude from this | ||||||||
| 1267 | // check the primary induction variable since it will need an update | ||||||||
| 1268 | // instruction regardless. | ||||||||
| 1269 | Value *Op = Trunc->getOperand(0); | ||||||||
| 1270 | if (Op != Legal->getPrimaryInduction() && TTI.isTruncateFree(SrcTy, DestTy)) | ||||||||
| 1271 | return false; | ||||||||
| 1272 | |||||||||
| 1273 | // If the truncated value is not an induction variable, return false. | ||||||||
| 1274 | return Legal->isInductionPhi(Op); | ||||||||
| 1275 | } | ||||||||
| 1276 | |||||||||
| 1277 | /// Collects the instructions to scalarize for each predicated instruction in | ||||||||
| 1278 | /// the loop. | ||||||||
| 1279 | void collectInstsToScalarize(ElementCount VF); | ||||||||
| 1280 | |||||||||
| 1281 | /// Collect Uniform and Scalar values for the given \p VF. | ||||||||
| 1282 | /// The sets depend on CM decision for Load/Store instructions | ||||||||
| 1283 | /// that may be vectorized as interleave, gather-scatter or scalarized. | ||||||||
| 1284 | void collectUniformsAndScalars(ElementCount VF) { | ||||||||
| 1285 | // Do the analysis once. | ||||||||
| 1286 | if (VF.isScalar() || Uniforms.find(VF) != Uniforms.end()) | ||||||||
| 1287 | return; | ||||||||
| 1288 | setCostBasedWideningDecision(VF); | ||||||||
| 1289 | collectLoopUniforms(VF); | ||||||||
| 1290 | collectLoopScalars(VF); | ||||||||
| 1291 | } | ||||||||
| 1292 | |||||||||
| 1293 | /// Returns true if the target machine supports masked store operation | ||||||||
| 1294 | /// for the given \p DataType and kind of access to \p Ptr. | ||||||||
| 1295 | bool isLegalMaskedStore(Type *DataType, Value *Ptr, Align Alignment) { | ||||||||
| 1296 | return Legal->isConsecutivePtr(Ptr) && | ||||||||
| 1297 | TTI.isLegalMaskedStore(DataType, Alignment); | ||||||||
| 1298 | } | ||||||||
| 1299 | |||||||||
| 1300 | /// Returns true if the target machine supports masked load operation | ||||||||
| 1301 | /// for the given \p DataType and kind of access to \p Ptr. | ||||||||
| 1302 | bool isLegalMaskedLoad(Type *DataType, Value *Ptr, Align Alignment) { | ||||||||
| 1303 | return Legal->isConsecutivePtr(Ptr) && | ||||||||
| 1304 | TTI.isLegalMaskedLoad(DataType, Alignment); | ||||||||
| 1305 | } | ||||||||
| 1306 | |||||||||
| 1307 | /// Returns true if the target machine supports masked scatter operation | ||||||||
| 1308 | /// for the given \p DataType. | ||||||||
| 1309 | bool isLegalMaskedScatter(Type *DataType, Align Alignment) { | ||||||||
| 1310 | return TTI.isLegalMaskedScatter(DataType, Alignment); | ||||||||
| 1311 | } | ||||||||
| 1312 | |||||||||
| 1313 | /// Returns true if the target machine supports masked gather operation | ||||||||
| 1314 | /// for the given \p DataType. | ||||||||
| 1315 | bool isLegalMaskedGather(Type *DataType, Align Alignment) { | ||||||||
| 1316 | return TTI.isLegalMaskedGather(DataType, Alignment); | ||||||||
| 1317 | } | ||||||||
| 1318 | |||||||||
| 1319 | /// Returns true if the target machine can represent \p V as a masked gather | ||||||||
| 1320 | /// or scatter operation. | ||||||||
| 1321 | bool isLegalGatherOrScatter(Value *V) { | ||||||||
| 1322 | bool LI = isa<LoadInst>(V); | ||||||||
| 1323 | bool SI = isa<StoreInst>(V); | ||||||||
| 1324 | if (!LI && !SI) | ||||||||
| 1325 | return false; | ||||||||
| 1326 | auto *Ty = getMemInstValueType(V); | ||||||||
| 1327 | Align Align = getLoadStoreAlignment(V); | ||||||||
| 1328 | return (LI && isLegalMaskedGather(Ty, Align)) || | ||||||||
| 1329 | (SI && isLegalMaskedScatter(Ty, Align)); | ||||||||
| 1330 | } | ||||||||
| 1331 | |||||||||
| 1332 | /// Returns true if \p I is an instruction that will be scalarized with | ||||||||
| 1333 | /// predication. Such instructions include conditional stores and | ||||||||
| 1334 | /// instructions that may divide by zero. | ||||||||
| 1335 | /// If a non-zero VF has been calculated, we check if I will be scalarized | ||||||||
| 1336 | /// predication for that VF. | ||||||||
| 1337 | bool isScalarWithPredication(Instruction *I, | ||||||||
| 1338 | ElementCount VF = ElementCount::getFixed(1)); | ||||||||
| 1339 | |||||||||
| 1340 | // Returns true if \p I is an instruction that will be predicated either | ||||||||
| 1341 | // through scalar predication or masked load/store or masked gather/scatter. | ||||||||
| 1342 | // Superset of instructions that return true for isScalarWithPredication. | ||||||||
| 1343 | bool isPredicatedInst(Instruction *I) { | ||||||||
| 1344 | if (!blockNeedsPredication(I->getParent())) | ||||||||
| 1345 | return false; | ||||||||
| 1346 | // Loads and stores that need some form of masked operation are predicated | ||||||||
| 1347 | // instructions. | ||||||||
| 1348 | if (isa<LoadInst>(I) || isa<StoreInst>(I)) | ||||||||
| 1349 | return Legal->isMaskRequired(I); | ||||||||
| 1350 | return isScalarWithPredication(I); | ||||||||
| 1351 | } | ||||||||
| 1352 | |||||||||
| 1353 | /// Returns true if \p I is a memory instruction with consecutive memory | ||||||||
| 1354 | /// access that can be widened. | ||||||||
| 1355 | bool | ||||||||
| 1356 | memoryInstructionCanBeWidened(Instruction *I, | ||||||||
| 1357 | ElementCount VF = ElementCount::getFixed(1)); | ||||||||
| 1358 | |||||||||
| 1359 | /// Returns true if \p I is a memory instruction in an interleaved-group | ||||||||
| 1360 | /// of memory accesses that can be vectorized with wide vector loads/stores | ||||||||
| 1361 | /// and shuffles. | ||||||||
| 1362 | bool | ||||||||
| 1363 | interleavedAccessCanBeWidened(Instruction *I, | ||||||||
| 1364 | ElementCount VF = ElementCount::getFixed(1)); | ||||||||
| 1365 | |||||||||
| 1366 | /// Check if \p Instr belongs to any interleaved access group. | ||||||||
| 1367 | bool isAccessInterleaved(Instruction *Instr) { | ||||||||
| 1368 | return InterleaveInfo.isInterleaved(Instr); | ||||||||
| 1369 | } | ||||||||
| 1370 | |||||||||
| 1371 | /// Get the interleaved access group that \p Instr belongs to. | ||||||||
| 1372 | const InterleaveGroup<Instruction> * | ||||||||
| 1373 | getInterleavedAccessGroup(Instruction *Instr) { | ||||||||
| 1374 | return InterleaveInfo.getInterleaveGroup(Instr); | ||||||||
| 1375 | } | ||||||||
| 1376 | |||||||||
| 1377 | /// Returns true if an interleaved group requires a scalar iteration | ||||||||
| 1378 | /// to handle accesses with gaps, and there is nothing preventing us from | ||||||||
| 1379 | /// creating a scalar epilogue. | ||||||||
| 1380 | bool requiresScalarEpilogue() const { | ||||||||
| 1381 | return isScalarEpilogueAllowed() && InterleaveInfo.requiresScalarEpilogue(); | ||||||||
| 1382 | } | ||||||||
| 1383 | |||||||||
| 1384 | /// Returns true if a scalar epilogue is not allowed due to optsize or a | ||||||||
| 1385 | /// loop hint annotation. | ||||||||
| 1386 | bool isScalarEpilogueAllowed() const { | ||||||||
| 1387 | return ScalarEpilogueStatus == CM_ScalarEpilogueAllowed; | ||||||||
| 1388 | } | ||||||||
| 1389 | |||||||||
| 1390 | /// Returns true if all loop blocks should be masked to fold tail loop. | ||||||||
| 1391 | bool foldTailByMasking() const { return FoldTailByMasking; } | ||||||||
| 1392 | |||||||||
| 1393 | bool blockNeedsPredication(BasicBlock *BB) { | ||||||||
| 1394 | return foldTailByMasking() || Legal->blockNeedsPredication(BB); | ||||||||
| 1395 | } | ||||||||
| 1396 | |||||||||
| 1397 | /// A SmallMapVector to store the InLoop reduction op chains, mapping phi | ||||||||
| 1398 | /// nodes to the chain of instructions representing the reductions. Uses a | ||||||||
| 1399 | /// MapVector to ensure deterministic iteration order. | ||||||||
| 1400 | using ReductionChainMap = | ||||||||
| 1401 | SmallMapVector<PHINode *, SmallVector<Instruction *, 4>, 4>; | ||||||||
| 1402 | |||||||||
| 1403 | /// Return the chain of instructions representing an inloop reduction. | ||||||||
| 1404 | const ReductionChainMap &getInLoopReductionChains() const { | ||||||||
| 1405 | return InLoopReductionChains; | ||||||||
| 1406 | } | ||||||||
| 1407 | |||||||||
| 1408 | /// Returns true if the Phi is part of an inloop reduction. | ||||||||
| 1409 | bool isInLoopReduction(PHINode *Phi) const { | ||||||||
| 1410 | return InLoopReductionChains.count(Phi); | ||||||||
| 1411 | } | ||||||||
| 1412 | |||||||||
| 1413 | /// Estimate cost of an intrinsic call instruction CI if it were vectorized | ||||||||
| 1414 | /// with factor VF. Return the cost of the instruction, including | ||||||||
| 1415 | /// scalarization overhead if it's needed. | ||||||||
| 1416 | unsigned getVectorIntrinsicCost(CallInst *CI, ElementCount VF); | ||||||||
| 1417 | |||||||||
| 1418 | /// Estimate cost of a call instruction CI if it were vectorized with factor | ||||||||
| 1419 | /// VF. Return the cost of the instruction, including scalarization overhead | ||||||||
| 1420 | /// if it's needed. The flag NeedToScalarize shows if the call needs to be | ||||||||
| 1421 | /// scalarized - | ||||||||
| 1422 | /// i.e. either vector version isn't available, or is too expensive. | ||||||||
| 1423 | unsigned getVectorCallCost(CallInst *CI, ElementCount VF, | ||||||||
| 1424 | bool &NeedToScalarize); | ||||||||
| 1425 | |||||||||
| 1426 | /// Invalidates decisions already taken by the cost model. | ||||||||
| 1427 | void invalidateCostModelingDecisions() { | ||||||||
| 1428 | WideningDecisions.clear(); | ||||||||
| 1429 | Uniforms.clear(); | ||||||||
| 1430 | Scalars.clear(); | ||||||||
| 1431 | } | ||||||||
| 1432 | |||||||||
| 1433 | private: | ||||||||
| 1434 | unsigned NumPredStores = 0; | ||||||||
| 1435 | |||||||||
| 1436 | /// \return An upper bound for the vectorization factor, a power-of-2 larger | ||||||||
| 1437 | /// than zero. One is returned if vectorization should best be avoided due | ||||||||
| 1438 | /// to cost. | ||||||||
| 1439 | unsigned computeFeasibleMaxVF(unsigned ConstTripCount); | ||||||||
| 1440 | |||||||||
| 1441 | /// The vectorization cost is a combination of the cost itself and a boolean | ||||||||
| 1442 | /// indicating whether any of the contributing operations will actually | ||||||||
| 1443 | /// operate on | ||||||||
| 1444 | /// vector values after type legalization in the backend. If this latter value | ||||||||
| 1445 | /// is | ||||||||
| 1446 | /// false, then all operations will be scalarized (i.e. no vectorization has | ||||||||
| 1447 | /// actually taken place). | ||||||||
| 1448 | using VectorizationCostTy = std::pair<unsigned, bool>; | ||||||||
| 1449 | |||||||||
| 1450 | /// Returns the expected execution cost. The unit of the cost does | ||||||||
| 1451 | /// not matter because we use the 'cost' units to compare different | ||||||||
| 1452 | /// vector widths. The cost that is returned is *not* normalized by | ||||||||
| 1453 | /// the factor width. | ||||||||
| 1454 | VectorizationCostTy expectedCost(ElementCount VF); | ||||||||
| 1455 | |||||||||
| 1456 | /// Returns the execution time cost of an instruction for a given vector | ||||||||
| 1457 | /// width. Vector width of one means scalar. | ||||||||
| 1458 | VectorizationCostTy getInstructionCost(Instruction *I, ElementCount VF); | ||||||||
| 1459 | |||||||||
| 1460 | /// The cost-computation logic from getInstructionCost which provides | ||||||||
| 1461 | /// the vector type as an output parameter. | ||||||||
| 1462 | unsigned getInstructionCost(Instruction *I, ElementCount VF, Type *&VectorTy); | ||||||||
| 1463 | |||||||||
| 1464 | /// Calculate vectorization cost of memory instruction \p I. | ||||||||
| 1465 | unsigned getMemoryInstructionCost(Instruction *I, ElementCount VF); | ||||||||
| 1466 | |||||||||
| 1467 | /// The cost computation for scalarized memory instruction. | ||||||||
| 1468 | unsigned getMemInstScalarizationCost(Instruction *I, ElementCount VF); | ||||||||
| 1469 | |||||||||
| 1470 | /// The cost computation for interleaving group of memory instructions. | ||||||||
| 1471 | unsigned getInterleaveGroupCost(Instruction *I, ElementCount VF); | ||||||||
| 1472 | |||||||||
| 1473 | /// The cost computation for Gather/Scatter instruction. | ||||||||
| 1474 | unsigned getGatherScatterCost(Instruction *I, ElementCount VF); | ||||||||
| 1475 | |||||||||
| 1476 | /// The cost computation for widening instruction \p I with consecutive | ||||||||
| 1477 | /// memory access. | ||||||||
| 1478 | unsigned getConsecutiveMemOpCost(Instruction *I, ElementCount VF); | ||||||||
| 1479 | |||||||||
| 1480 | /// The cost calculation for Load/Store instruction \p I with uniform pointer - | ||||||||
| 1481 | /// Load: scalar load + broadcast. | ||||||||
| 1482 | /// Store: scalar store + (loop invariant value stored? 0 : extract of last | ||||||||
| 1483 | /// element) | ||||||||
| 1484 | unsigned getUniformMemOpCost(Instruction *I, ElementCount VF); | ||||||||
| 1485 | |||||||||
| 1486 | /// Estimate the overhead of scalarizing an instruction. This is a | ||||||||
| 1487 | /// convenience wrapper for the type-based getScalarizationOverhead API. | ||||||||
| 1488 | unsigned getScalarizationOverhead(Instruction *I, ElementCount VF); | ||||||||
| 1489 | |||||||||
| 1490 | /// Returns whether the instruction is a load or store and will be a emitted | ||||||||
| 1491 | /// as a vector operation. | ||||||||
| 1492 | bool isConsecutiveLoadOrStore(Instruction *I); | ||||||||
| 1493 | |||||||||
| 1494 | /// Returns true if an artificially high cost for emulated masked memrefs | ||||||||
| 1495 | /// should be used. | ||||||||
| 1496 | bool useEmulatedMaskMemRefHack(Instruction *I); | ||||||||
| 1497 | |||||||||
| 1498 | /// Map of scalar integer values to the smallest bitwidth they can be legally | ||||||||
| 1499 | /// represented as. The vector equivalents of these values should be truncated | ||||||||
| 1500 | /// to this type. | ||||||||
| 1501 | MapVector<Instruction *, uint64_t> MinBWs; | ||||||||
| 1502 | |||||||||
| 1503 | /// A type representing the costs for instructions if they were to be | ||||||||
| 1504 | /// scalarized rather than vectorized. The entries are Instruction-Cost | ||||||||
| 1505 | /// pairs. | ||||||||
| 1506 | using ScalarCostsTy = DenseMap<Instruction *, unsigned>; | ||||||||
| 1507 | |||||||||
| 1508 | /// A set containing all BasicBlocks that are known to present after | ||||||||
| 1509 | /// vectorization as a predicated block. | ||||||||
| 1510 | SmallPtrSet<BasicBlock *, 4> PredicatedBBsAfterVectorization; | ||||||||
| 1511 | |||||||||
| 1512 | /// Records whether it is allowed to have the original scalar loop execute at | ||||||||
| 1513 | /// least once. This may be needed as a fallback loop in case runtime | ||||||||
| 1514 | /// aliasing/dependence checks fail, or to handle the tail/remainder | ||||||||
| 1515 | /// iterations when the trip count is unknown or doesn't divide by the VF, | ||||||||
| 1516 | /// or as a peel-loop to handle gaps in interleave-groups. | ||||||||
| 1517 | /// Under optsize and when the trip count is very small we don't allow any | ||||||||
| 1518 | /// iterations to execute in the scalar loop. | ||||||||
| 1519 | ScalarEpilogueLowering ScalarEpilogueStatus = CM_ScalarEpilogueAllowed; | ||||||||
| 1520 | |||||||||
| 1521 | /// All blocks of loop are to be masked to fold tail of scalar iterations. | ||||||||
| 1522 | bool FoldTailByMasking = false; | ||||||||
| 1523 | |||||||||
| 1524 | /// A map holding scalar costs for different vectorization factors. The | ||||||||
| 1525 | /// presence of a cost for an instruction in the mapping indicates that the | ||||||||
| 1526 | /// instruction will be scalarized when vectorizing with the associated | ||||||||
| 1527 | /// vectorization factor. The entries are VF-ScalarCostTy pairs. | ||||||||
| 1528 | DenseMap<ElementCount, ScalarCostsTy> InstsToScalarize; | ||||||||
| 1529 | |||||||||
| 1530 | /// Holds the instructions known to be uniform after vectorization. | ||||||||
| 1531 | /// The data is collected per VF. | ||||||||
| 1532 | DenseMap<ElementCount, SmallPtrSet<Instruction *, 4>> Uniforms; | ||||||||
| 1533 | |||||||||
| 1534 | /// Holds the instructions known to be scalar after vectorization. | ||||||||
| 1535 | /// The data is collected per VF. | ||||||||
| 1536 | DenseMap<ElementCount, SmallPtrSet<Instruction *, 4>> Scalars; | ||||||||
| 1537 | |||||||||
| 1538 | /// Holds the instructions (address computations) that are forced to be | ||||||||
| 1539 | /// scalarized. | ||||||||
| 1540 | DenseMap<ElementCount, SmallPtrSet<Instruction *, 4>> ForcedScalars; | ||||||||
| 1541 | |||||||||
| 1542 | /// PHINodes of the reductions that should be expanded in-loop along with | ||||||||
| 1543 | /// their associated chains of reduction operations, in program order from top | ||||||||
| 1544 | /// (PHI) to bottom | ||||||||
| 1545 | ReductionChainMap InLoopReductionChains; | ||||||||
| 1546 | |||||||||
| 1547 | /// Returns the expected difference in cost from scalarizing the expression | ||||||||
| 1548 | /// feeding a predicated instruction \p PredInst. The instructions to | ||||||||
| 1549 | /// scalarize and their scalar costs are collected in \p ScalarCosts. A | ||||||||
| 1550 | /// non-negative return value implies the expression will be scalarized. | ||||||||
| 1551 | /// Currently, only single-use chains are considered for scalarization. | ||||||||
| 1552 | int computePredInstDiscount(Instruction *PredInst, ScalarCostsTy &ScalarCosts, | ||||||||
| 1553 | ElementCount VF); | ||||||||
| 1554 | |||||||||
| 1555 | /// Collect the instructions that are uniform after vectorization. An | ||||||||
| 1556 | /// instruction is uniform if we represent it with a single scalar value in | ||||||||
| 1557 | /// the vectorized loop corresponding to each vector iteration. Examples of | ||||||||
| 1558 | /// uniform instructions include pointer operands of consecutive or | ||||||||
| 1559 | /// interleaved memory accesses. Note that although uniformity implies an | ||||||||
| 1560 | /// instruction will be scalar, the reverse is not true. In general, a | ||||||||
| 1561 | /// scalarized instruction will be represented by VF scalar values in the | ||||||||
| 1562 | /// vectorized loop, each corresponding to an iteration of the original | ||||||||
| 1563 | /// scalar loop. | ||||||||
| 1564 | void collectLoopUniforms(ElementCount VF); | ||||||||
| 1565 | |||||||||
| 1566 | /// Collect the instructions that are scalar after vectorization. An | ||||||||
| 1567 | /// instruction is scalar if it is known to be uniform or will be scalarized | ||||||||
| 1568 | /// during vectorization. Non-uniform scalarized instructions will be | ||||||||
| 1569 | /// represented by VF values in the vectorized loop, each corresponding to an | ||||||||
| 1570 | /// iteration of the original scalar loop. | ||||||||
| 1571 | void collectLoopScalars(ElementCount VF); | ||||||||
| 1572 | |||||||||
| 1573 | /// Keeps cost model vectorization decision and cost for instructions. | ||||||||
| 1574 | /// Right now it is used for memory instructions only. | ||||||||
| 1575 | using DecisionList = DenseMap<std::pair<Instruction *, ElementCount>, | ||||||||
| 1576 | std::pair<InstWidening, unsigned>>; | ||||||||
| 1577 | |||||||||
| 1578 | DecisionList WideningDecisions; | ||||||||
| 1579 | |||||||||
| 1580 | /// Returns true if \p V is expected to be vectorized and it needs to be | ||||||||
| 1581 | /// extracted. | ||||||||
| 1582 | bool needsExtract(Value *V, ElementCount VF) const { | ||||||||
| 1583 | Instruction *I = dyn_cast<Instruction>(V); | ||||||||
| 1584 | if (VF.isScalar() || !I || !TheLoop->contains(I) || | ||||||||
| 1585 | TheLoop->isLoopInvariant(I)) | ||||||||
| 1586 | return false; | ||||||||
| 1587 | |||||||||
| 1588 | // Assume we can vectorize V (and hence we need extraction) if the | ||||||||
| 1589 | // scalars are not computed yet. This can happen, because it is called | ||||||||
| 1590 | // via getScalarizationOverhead from setCostBasedWideningDecision, before | ||||||||
| 1591 | // the scalars are collected. That should be a safe assumption in most | ||||||||
| 1592 | // cases, because we check if the operands have vectorizable types | ||||||||
| 1593 | // beforehand in LoopVectorizationLegality. | ||||||||
| 1594 | return Scalars.find(VF) == Scalars.end() || | ||||||||
| 1595 | !isScalarAfterVectorization(I, VF); | ||||||||
| 1596 | }; | ||||||||
| 1597 | |||||||||
| 1598 | /// Returns a range containing only operands needing to be extracted. | ||||||||
| 1599 | SmallVector<Value *, 4> filterExtractingOperands(Instruction::op_range Ops, | ||||||||
| 1600 | ElementCount VF) { | ||||||||
| 1601 | return SmallVector<Value *, 4>(make_filter_range( | ||||||||
| 1602 | Ops, [this, VF](Value *V) { return this->needsExtract(V, VF); })); | ||||||||
| 1603 | } | ||||||||
| 1604 | |||||||||
| 1605 | public: | ||||||||
| 1606 | /// The loop that we evaluate. | ||||||||
| 1607 | Loop *TheLoop; | ||||||||
| 1608 | |||||||||
| 1609 | /// Predicated scalar evolution analysis. | ||||||||
| 1610 | PredicatedScalarEvolution &PSE; | ||||||||
| 1611 | |||||||||
| 1612 | /// Loop Info analysis. | ||||||||
| 1613 | LoopInfo *LI; | ||||||||
| 1614 | |||||||||
| 1615 | /// Vectorization legality. | ||||||||
| 1616 | LoopVectorizationLegality *Legal; | ||||||||
| 1617 | |||||||||
| 1618 | /// Vector target information. | ||||||||
| 1619 | const TargetTransformInfo &TTI; | ||||||||
| 1620 | |||||||||
| 1621 | /// Target Library Info. | ||||||||
| 1622 | const TargetLibraryInfo *TLI; | ||||||||
| 1623 | |||||||||
| 1624 | /// Demanded bits analysis. | ||||||||
| 1625 | DemandedBits *DB; | ||||||||
| 1626 | |||||||||
| 1627 | /// Assumption cache. | ||||||||
| 1628 | AssumptionCache *AC; | ||||||||
| 1629 | |||||||||
| 1630 | /// Interface to emit optimization remarks. | ||||||||
| 1631 | OptimizationRemarkEmitter *ORE; | ||||||||
| 1632 | |||||||||
| 1633 | const Function *TheFunction; | ||||||||
| 1634 | |||||||||
| 1635 | /// Loop Vectorize Hint. | ||||||||
| 1636 | const LoopVectorizeHints *Hints; | ||||||||
| 1637 | |||||||||
| 1638 | /// The interleave access information contains groups of interleaved accesses | ||||||||
| 1639 | /// with the same stride and close to each other. | ||||||||
| 1640 | InterleavedAccessInfo &InterleaveInfo; | ||||||||
| 1641 | |||||||||
| 1642 | /// Values to ignore in the cost model. | ||||||||
| 1643 | SmallPtrSet<const Value *, 16> ValuesToIgnore; | ||||||||
| 1644 | |||||||||
| 1645 | /// Values to ignore in the cost model when VF > 1. | ||||||||
| 1646 | SmallPtrSet<const Value *, 16> VecValuesToIgnore; | ||||||||
| 1647 | }; | ||||||||
| 1648 | |||||||||
| 1649 | } // end namespace llvm | ||||||||
| 1650 | |||||||||
| 1651 | // Return true if \p OuterLp is an outer loop annotated with hints for explicit | ||||||||
| 1652 | // vectorization. The loop needs to be annotated with #pragma omp simd | ||||||||
| 1653 | // simdlen(#) or #pragma clang vectorize(enable) vectorize_width(#). If the | ||||||||
| 1654 | // vector length information is not provided, vectorization is not considered | ||||||||
| 1655 | // explicit. Interleave hints are not allowed either. These limitations will be | ||||||||
| 1656 | // relaxed in the future. | ||||||||
| 1657 | // Please, note that we are currently forced to abuse the pragma 'clang | ||||||||
| 1658 | // vectorize' semantics. This pragma provides *auto-vectorization hints* | ||||||||
| 1659 | // (i.e., LV must check that vectorization is legal) whereas pragma 'omp simd' | ||||||||
| 1660 | // provides *explicit vectorization hints* (LV can bypass legal checks and | ||||||||
| 1661 | // assume that vectorization is legal). However, both hints are implemented | ||||||||
| 1662 | // using the same metadata (llvm.loop.vectorize, processed by | ||||||||
| 1663 | // LoopVectorizeHints). This will be fixed in the future when the native IR | ||||||||
| 1664 | // representation for pragma 'omp simd' is introduced. | ||||||||
| 1665 | static bool isExplicitVecOuterLoop(Loop *OuterLp, | ||||||||
| 1666 | OptimizationRemarkEmitter *ORE) { | ||||||||
| 1667 | assert(!OuterLp->isInnermost() && "This is not an outer loop")((!OuterLp->isInnermost() && "This is not an outer loop" ) ? static_cast<void> (0) : __assert_fail ("!OuterLp->isInnermost() && \"This is not an outer loop\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1667, __PRETTY_FUNCTION__)); | ||||||||
| 1668 | LoopVectorizeHints Hints(OuterLp, true /*DisableInterleaving*/, *ORE); | ||||||||
| 1669 | |||||||||
| 1670 | // Only outer loops with an explicit vectorization hint are supported. | ||||||||
| 1671 | // Unannotated outer loops are ignored. | ||||||||
| 1672 | if (Hints.getForce() == LoopVectorizeHints::FK_Undefined) | ||||||||
| 1673 | return false; | ||||||||
| 1674 | |||||||||
| 1675 | Function *Fn = OuterLp->getHeader()->getParent(); | ||||||||
| 1676 | if (!Hints.allowVectorization(Fn, OuterLp, | ||||||||
| 1677 | true /*VectorizeOnlyWhenForced*/)) { | ||||||||
| 1678 | LLVM_DEBUG(dbgs() << "LV: Loop hints prevent outer loop vectorization.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints prevent outer loop vectorization.\n" ; } } while (false); | ||||||||
| 1679 | return false; | ||||||||
| 1680 | } | ||||||||
| 1681 | |||||||||
| 1682 | if (Hints.getInterleave() > 1) { | ||||||||
| 1683 | // TODO: Interleave support is future work. | ||||||||
| 1684 | LLVM_DEBUG(dbgs() << "LV: Not vectorizing: Interleave is not supported for "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not vectorizing: Interleave is not supported for " "outer loops.\n"; } } while (false) | ||||||||
| 1685 | "outer loops.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not vectorizing: Interleave is not supported for " "outer loops.\n"; } } while (false); | ||||||||
| 1686 | Hints.emitRemarkWithHints(); | ||||||||
| 1687 | return false; | ||||||||
| 1688 | } | ||||||||
| 1689 | |||||||||
| 1690 | return true; | ||||||||
| 1691 | } | ||||||||
| 1692 | |||||||||
| 1693 | static void collectSupportedLoops(Loop &L, LoopInfo *LI, | ||||||||
| 1694 | OptimizationRemarkEmitter *ORE, | ||||||||
| 1695 | SmallVectorImpl<Loop *> &V) { | ||||||||
| 1696 | // Collect inner loops and outer loops without irreducible control flow. For | ||||||||
| 1697 | // now, only collect outer loops that have explicit vectorization hints. If we | ||||||||
| 1698 | // are stress testing the VPlan H-CFG construction, we collect the outermost | ||||||||
| 1699 | // loop of every loop nest. | ||||||||
| 1700 | if (L.isInnermost() || VPlanBuildStressTest || | ||||||||
| 1701 | (EnableVPlanNativePath && isExplicitVecOuterLoop(&L, ORE))) { | ||||||||
| 1702 | LoopBlocksRPO RPOT(&L); | ||||||||
| 1703 | RPOT.perform(LI); | ||||||||
| 1704 | if (!containsIrreducibleCFG<const BasicBlock *>(RPOT, *LI)) { | ||||||||
| 1705 | V.push_back(&L); | ||||||||
| 1706 | // TODO: Collect inner loops inside marked outer loops in case | ||||||||
| 1707 | // vectorization fails for the outer loop. Do not invoke | ||||||||
| 1708 | // 'containsIrreducibleCFG' again for inner loops when the outer loop is | ||||||||
| 1709 | // already known to be reducible. We can use an inherited attribute for | ||||||||
| 1710 | // that. | ||||||||
| 1711 | return; | ||||||||
| 1712 | } | ||||||||
| 1713 | } | ||||||||
| 1714 | for (Loop *InnerL : L) | ||||||||
| 1715 | collectSupportedLoops(*InnerL, LI, ORE, V); | ||||||||
| 1716 | } | ||||||||
| 1717 | |||||||||
| 1718 | namespace { | ||||||||
| 1719 | |||||||||
| 1720 | /// The LoopVectorize Pass. | ||||||||
| 1721 | struct LoopVectorize : public FunctionPass { | ||||||||
| 1722 | /// Pass identification, replacement for typeid | ||||||||
| 1723 | static char ID; | ||||||||
| 1724 | |||||||||
| 1725 | LoopVectorizePass Impl; | ||||||||
| 1726 | |||||||||
| 1727 | explicit LoopVectorize(bool InterleaveOnlyWhenForced = false, | ||||||||
| 1728 | bool VectorizeOnlyWhenForced = false) | ||||||||
| 1729 | : FunctionPass(ID), | ||||||||
| 1730 | Impl({InterleaveOnlyWhenForced, VectorizeOnlyWhenForced}) { | ||||||||
| 1731 | initializeLoopVectorizePass(*PassRegistry::getPassRegistry()); | ||||||||
| 1732 | } | ||||||||
| 1733 | |||||||||
| 1734 | bool runOnFunction(Function &F) override { | ||||||||
| 1735 | if (skipFunction(F)) | ||||||||
| 1736 | return false; | ||||||||
| 1737 | |||||||||
| 1738 | auto *SE = &getAnalysis<ScalarEvolutionWrapperPass>().getSE(); | ||||||||
| 1739 | auto *LI = &getAnalysis<LoopInfoWrapperPass>().getLoopInfo(); | ||||||||
| 1740 | auto *TTI = &getAnalysis<TargetTransformInfoWrapperPass>().getTTI(F); | ||||||||
| 1741 | auto *DT = &getAnalysis<DominatorTreeWrapperPass>().getDomTree(); | ||||||||
| 1742 | auto *BFI = &getAnalysis<BlockFrequencyInfoWrapperPass>().getBFI(); | ||||||||
| 1743 | auto *TLIP = getAnalysisIfAvailable<TargetLibraryInfoWrapperPass>(); | ||||||||
| 1744 | auto *TLI = TLIP ? &TLIP->getTLI(F) : nullptr; | ||||||||
| 1745 | auto *AA = &getAnalysis<AAResultsWrapperPass>().getAAResults(); | ||||||||
| 1746 | auto *AC = &getAnalysis<AssumptionCacheTracker>().getAssumptionCache(F); | ||||||||
| 1747 | auto *LAA = &getAnalysis<LoopAccessLegacyAnalysis>(); | ||||||||
| 1748 | auto *DB = &getAnalysis<DemandedBitsWrapperPass>().getDemandedBits(); | ||||||||
| 1749 | auto *ORE = &getAnalysis<OptimizationRemarkEmitterWrapperPass>().getORE(); | ||||||||
| 1750 | auto *PSI = &getAnalysis<ProfileSummaryInfoWrapperPass>().getPSI(); | ||||||||
| 1751 | |||||||||
| 1752 | std::function<const LoopAccessInfo &(Loop &)> GetLAA = | ||||||||
| 1753 | [&](Loop &L) -> const LoopAccessInfo & { return LAA->getInfo(&L); }; | ||||||||
| 1754 | |||||||||
| 1755 | return Impl.runImpl(F, *SE, *LI, *TTI, *DT, *BFI, TLI, *DB, *AA, *AC, | ||||||||
| 1756 | GetLAA, *ORE, PSI).MadeAnyChange; | ||||||||
| 1757 | } | ||||||||
| 1758 | |||||||||
| 1759 | void getAnalysisUsage(AnalysisUsage &AU) const override { | ||||||||
| 1760 | AU.addRequired<AssumptionCacheTracker>(); | ||||||||
| 1761 | AU.addRequired<BlockFrequencyInfoWrapperPass>(); | ||||||||
| 1762 | AU.addRequired<DominatorTreeWrapperPass>(); | ||||||||
| 1763 | AU.addRequired<LoopInfoWrapperPass>(); | ||||||||
| 1764 | AU.addRequired<ScalarEvolutionWrapperPass>(); | ||||||||
| 1765 | AU.addRequired<TargetTransformInfoWrapperPass>(); | ||||||||
| 1766 | AU.addRequired<AAResultsWrapperPass>(); | ||||||||
| 1767 | AU.addRequired<LoopAccessLegacyAnalysis>(); | ||||||||
| 1768 | AU.addRequired<DemandedBitsWrapperPass>(); | ||||||||
| 1769 | AU.addRequired<OptimizationRemarkEmitterWrapperPass>(); | ||||||||
| 1770 | AU.addRequired<InjectTLIMappingsLegacy>(); | ||||||||
| 1771 | |||||||||
| 1772 | // We currently do not preserve loopinfo/dominator analyses with outer loop | ||||||||
| 1773 | // vectorization. Until this is addressed, mark these analyses as preserved | ||||||||
| 1774 | // only for non-VPlan-native path. | ||||||||
| 1775 | // TODO: Preserve Loop and Dominator analyses for VPlan-native path. | ||||||||
| 1776 | if (!EnableVPlanNativePath) { | ||||||||
| 1777 | AU.addPreserved<LoopInfoWrapperPass>(); | ||||||||
| 1778 | AU.addPreserved<DominatorTreeWrapperPass>(); | ||||||||
| 1779 | } | ||||||||
| 1780 | |||||||||
| 1781 | AU.addPreserved<BasicAAWrapperPass>(); | ||||||||
| 1782 | AU.addPreserved<GlobalsAAWrapperPass>(); | ||||||||
| 1783 | AU.addRequired<ProfileSummaryInfoWrapperPass>(); | ||||||||
| 1784 | } | ||||||||
| 1785 | }; | ||||||||
| 1786 | |||||||||
| 1787 | } // end anonymous namespace | ||||||||
| 1788 | |||||||||
| 1789 | //===----------------------------------------------------------------------===// | ||||||||
| 1790 | // Implementation of LoopVectorizationLegality, InnerLoopVectorizer and | ||||||||
| 1791 | // LoopVectorizationCostModel and LoopVectorizationPlanner. | ||||||||
| 1792 | //===----------------------------------------------------------------------===// | ||||||||
| 1793 | |||||||||
| 1794 | Value *InnerLoopVectorizer::getBroadcastInstrs(Value *V) { | ||||||||
| 1795 | // We need to place the broadcast of invariant variables outside the loop, | ||||||||
| 1796 | // but only if it's proven safe to do so. Else, broadcast will be inside | ||||||||
| 1797 | // vector loop body. | ||||||||
| 1798 | Instruction *Instr = dyn_cast<Instruction>(V); | ||||||||
| 1799 | bool SafeToHoist = OrigLoop->isLoopInvariant(V) && | ||||||||
| 1800 | (!Instr || | ||||||||
| 1801 | DT->dominates(Instr->getParent(), LoopVectorPreHeader)); | ||||||||
| 1802 | // Place the code for broadcasting invariant variables in the new preheader. | ||||||||
| 1803 | IRBuilder<>::InsertPointGuard Guard(Builder); | ||||||||
| 1804 | if (SafeToHoist) | ||||||||
| 1805 | Builder.SetInsertPoint(LoopVectorPreHeader->getTerminator()); | ||||||||
| 1806 | |||||||||
| 1807 | // Broadcast the scalar into all locations in the vector. | ||||||||
| 1808 | Value *Shuf = Builder.CreateVectorSplat(VF, V, "broadcast"); | ||||||||
| 1809 | |||||||||
| 1810 | return Shuf; | ||||||||
| 1811 | } | ||||||||
| 1812 | |||||||||
| 1813 | void InnerLoopVectorizer::createVectorIntOrFpInductionPHI( | ||||||||
| 1814 | const InductionDescriptor &II, Value *Step, Instruction *EntryVal) { | ||||||||
| 1815 | assert((isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal)) &&(((isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal )) && "Expected either an induction phi-node or a truncate of it!" ) ? static_cast<void> (0) : __assert_fail ("(isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal)) && \"Expected either an induction phi-node or a truncate of it!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1816, __PRETTY_FUNCTION__)) | ||||||||
| 1816 | "Expected either an induction phi-node or a truncate of it!")(((isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal )) && "Expected either an induction phi-node or a truncate of it!" ) ? static_cast<void> (0) : __assert_fail ("(isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal)) && \"Expected either an induction phi-node or a truncate of it!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1816, __PRETTY_FUNCTION__)); | ||||||||
| 1817 | Value *Start = II.getStartValue(); | ||||||||
| 1818 | |||||||||
| 1819 | // Construct the initial value of the vector IV in the vector loop preheader | ||||||||
| 1820 | auto CurrIP = Builder.saveIP(); | ||||||||
| 1821 | Builder.SetInsertPoint(LoopVectorPreHeader->getTerminator()); | ||||||||
| 1822 | if (isa<TruncInst>(EntryVal)) { | ||||||||
| 1823 | assert(Start->getType()->isIntegerTy() &&((Start->getType()->isIntegerTy() && "Truncation requires an integer type" ) ? static_cast<void> (0) : __assert_fail ("Start->getType()->isIntegerTy() && \"Truncation requires an integer type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1824, __PRETTY_FUNCTION__)) | ||||||||
| 1824 | "Truncation requires an integer type")((Start->getType()->isIntegerTy() && "Truncation requires an integer type" ) ? static_cast<void> (0) : __assert_fail ("Start->getType()->isIntegerTy() && \"Truncation requires an integer type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1824, __PRETTY_FUNCTION__)); | ||||||||
| 1825 | auto *TruncType = cast<IntegerType>(EntryVal->getType()); | ||||||||
| 1826 | Step = Builder.CreateTrunc(Step, TruncType); | ||||||||
| 1827 | Start = Builder.CreateCast(Instruction::Trunc, Start, TruncType); | ||||||||
| 1828 | } | ||||||||
| 1829 | Value *SplatStart = Builder.CreateVectorSplat(VF, Start); | ||||||||
| 1830 | Value *SteppedStart = | ||||||||
| 1831 | getStepVector(SplatStart, 0, Step, II.getInductionOpcode()); | ||||||||
| 1832 | |||||||||
| 1833 | // We create vector phi nodes for both integer and floating-point induction | ||||||||
| 1834 | // variables. Here, we determine the kind of arithmetic we will perform. | ||||||||
| 1835 | Instruction::BinaryOps AddOp; | ||||||||
| 1836 | Instruction::BinaryOps MulOp; | ||||||||
| 1837 | if (Step->getType()->isIntegerTy()) { | ||||||||
| 1838 | AddOp = Instruction::Add; | ||||||||
| 1839 | MulOp = Instruction::Mul; | ||||||||
| 1840 | } else { | ||||||||
| 1841 | AddOp = II.getInductionOpcode(); | ||||||||
| 1842 | MulOp = Instruction::FMul; | ||||||||
| 1843 | } | ||||||||
| 1844 | |||||||||
| 1845 | // Multiply the vectorization factor by the step using integer or | ||||||||
| 1846 | // floating-point arithmetic as appropriate. | ||||||||
| 1847 | Value *ConstVF = | ||||||||
| 1848 | getSignedIntOrFpConstant(Step->getType(), VF.getKnownMinValue()); | ||||||||
| 1849 | Value *Mul = addFastMathFlag(Builder.CreateBinOp(MulOp, Step, ConstVF)); | ||||||||
| 1850 | |||||||||
| 1851 | // Create a vector splat to use in the induction update. | ||||||||
| 1852 | // | ||||||||
| 1853 | // FIXME: If the step is non-constant, we create the vector splat with | ||||||||
| 1854 | // IRBuilder. IRBuilder can constant-fold the multiply, but it doesn't | ||||||||
| 1855 | // handle a constant vector splat. | ||||||||
| 1856 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1856, __PRETTY_FUNCTION__)); | ||||||||
| 1857 | Value *SplatVF = isa<Constant>(Mul) | ||||||||
| 1858 | ? ConstantVector::getSplat(VF, cast<Constant>(Mul)) | ||||||||
| 1859 | : Builder.CreateVectorSplat(VF, Mul); | ||||||||
| 1860 | Builder.restoreIP(CurrIP); | ||||||||
| 1861 | |||||||||
| 1862 | // We may need to add the step a number of times, depending on the unroll | ||||||||
| 1863 | // factor. The last of those goes into the PHI. | ||||||||
| 1864 | PHINode *VecInd = PHINode::Create(SteppedStart->getType(), 2, "vec.ind", | ||||||||
| 1865 | &*LoopVectorBody->getFirstInsertionPt()); | ||||||||
| 1866 | VecInd->setDebugLoc(EntryVal->getDebugLoc()); | ||||||||
| 1867 | Instruction *LastInduction = VecInd; | ||||||||
| 1868 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 1869 | VectorLoopValueMap.setVectorValue(EntryVal, Part, LastInduction); | ||||||||
| 1870 | |||||||||
| 1871 | if (isa<TruncInst>(EntryVal)) | ||||||||
| 1872 | addMetadata(LastInduction, EntryVal); | ||||||||
| 1873 | recordVectorLoopValueForInductionCast(II, EntryVal, LastInduction, Part); | ||||||||
| 1874 | |||||||||
| 1875 | LastInduction = cast<Instruction>(addFastMathFlag( | ||||||||
| 1876 | Builder.CreateBinOp(AddOp, LastInduction, SplatVF, "step.add"))); | ||||||||
| 1877 | LastInduction->setDebugLoc(EntryVal->getDebugLoc()); | ||||||||
| 1878 | } | ||||||||
| 1879 | |||||||||
| 1880 | // Move the last step to the end of the latch block. This ensures consistent | ||||||||
| 1881 | // placement of all induction updates. | ||||||||
| 1882 | auto *LoopVectorLatch = LI->getLoopFor(LoopVectorBody)->getLoopLatch(); | ||||||||
| 1883 | auto *Br = cast<BranchInst>(LoopVectorLatch->getTerminator()); | ||||||||
| 1884 | auto *ICmp = cast<Instruction>(Br->getCondition()); | ||||||||
| 1885 | LastInduction->moveBefore(ICmp); | ||||||||
| 1886 | LastInduction->setName("vec.ind.next"); | ||||||||
| 1887 | |||||||||
| 1888 | VecInd->addIncoming(SteppedStart, LoopVectorPreHeader); | ||||||||
| 1889 | VecInd->addIncoming(LastInduction, LoopVectorLatch); | ||||||||
| 1890 | } | ||||||||
| 1891 | |||||||||
| 1892 | bool InnerLoopVectorizer::shouldScalarizeInstruction(Instruction *I) const { | ||||||||
| 1893 | return Cost->isScalarAfterVectorization(I, VF) || | ||||||||
| 1894 | Cost->isProfitableToScalarize(I, VF); | ||||||||
| 1895 | } | ||||||||
| 1896 | |||||||||
| 1897 | bool InnerLoopVectorizer::needsScalarInduction(Instruction *IV) const { | ||||||||
| 1898 | if (shouldScalarizeInstruction(IV)) | ||||||||
| 1899 | return true; | ||||||||
| 1900 | auto isScalarInst = [&](User *U) -> bool { | ||||||||
| 1901 | auto *I = cast<Instruction>(U); | ||||||||
| 1902 | return (OrigLoop->contains(I) && shouldScalarizeInstruction(I)); | ||||||||
| 1903 | }; | ||||||||
| 1904 | return llvm::any_of(IV->users(), isScalarInst); | ||||||||
| 1905 | } | ||||||||
| 1906 | |||||||||
| 1907 | void InnerLoopVectorizer::recordVectorLoopValueForInductionCast( | ||||||||
| 1908 | const InductionDescriptor &ID, const Instruction *EntryVal, | ||||||||
| 1909 | Value *VectorLoopVal, unsigned Part, unsigned Lane) { | ||||||||
| 1910 | assert((isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal)) &&(((isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal )) && "Expected either an induction phi-node or a truncate of it!" ) ? static_cast<void> (0) : __assert_fail ("(isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal)) && \"Expected either an induction phi-node or a truncate of it!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1911, __PRETTY_FUNCTION__)) | ||||||||
| 1911 | "Expected either an induction phi-node or a truncate of it!")(((isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal )) && "Expected either an induction phi-node or a truncate of it!" ) ? static_cast<void> (0) : __assert_fail ("(isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal)) && \"Expected either an induction phi-node or a truncate of it!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1911, __PRETTY_FUNCTION__)); | ||||||||
| 1912 | |||||||||
| 1913 | // This induction variable is not the phi from the original loop but the | ||||||||
| 1914 | // newly-created IV based on the proof that casted Phi is equal to the | ||||||||
| 1915 | // uncasted Phi in the vectorized loop (under a runtime guard possibly). It | ||||||||
| 1916 | // re-uses the same InductionDescriptor that original IV uses but we don't | ||||||||
| 1917 | // have to do any recording in this case - that is done when original IV is | ||||||||
| 1918 | // processed. | ||||||||
| 1919 | if (isa<TruncInst>(EntryVal)) | ||||||||
| 1920 | return; | ||||||||
| 1921 | |||||||||
| 1922 | const SmallVectorImpl<Instruction *> &Casts = ID.getCastInsts(); | ||||||||
| 1923 | if (Casts.empty()) | ||||||||
| 1924 | return; | ||||||||
| 1925 | // Only the first Cast instruction in the Casts vector is of interest. | ||||||||
| 1926 | // The rest of the Casts (if exist) have no uses outside the | ||||||||
| 1927 | // induction update chain itself. | ||||||||
| 1928 | Instruction *CastInst = *Casts.begin(); | ||||||||
| 1929 | if (Lane < UINT_MAX(2147483647 *2U +1U)) | ||||||||
| 1930 | VectorLoopValueMap.setScalarValue(CastInst, {Part, Lane}, VectorLoopVal); | ||||||||
| 1931 | else | ||||||||
| 1932 | VectorLoopValueMap.setVectorValue(CastInst, Part, VectorLoopVal); | ||||||||
| 1933 | } | ||||||||
| 1934 | |||||||||
| 1935 | void InnerLoopVectorizer::widenIntOrFpInduction(PHINode *IV, TruncInst *Trunc) { | ||||||||
| 1936 | assert((IV->getType()->isIntegerTy() || IV != OldInduction) &&(((IV->getType()->isIntegerTy() || IV != OldInduction) && "Primary induction variable must have an integer type") ? static_cast <void> (0) : __assert_fail ("(IV->getType()->isIntegerTy() || IV != OldInduction) && \"Primary induction variable must have an integer type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1937, __PRETTY_FUNCTION__)) | ||||||||
| 1937 | "Primary induction variable must have an integer type")(((IV->getType()->isIntegerTy() || IV != OldInduction) && "Primary induction variable must have an integer type") ? static_cast <void> (0) : __assert_fail ("(IV->getType()->isIntegerTy() || IV != OldInduction) && \"Primary induction variable must have an integer type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1937, __PRETTY_FUNCTION__)); | ||||||||
| 1938 | |||||||||
| 1939 | auto II = Legal->getInductionVars().find(IV); | ||||||||
| 1940 | assert(II != Legal->getInductionVars().end() && "IV is not an induction")((II != Legal->getInductionVars().end() && "IV is not an induction" ) ? static_cast<void> (0) : __assert_fail ("II != Legal->getInductionVars().end() && \"IV is not an induction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1940, __PRETTY_FUNCTION__)); | ||||||||
| 1941 | |||||||||
| 1942 | auto ID = II->second; | ||||||||
| 1943 | assert(IV->getType() == ID.getStartValue()->getType() && "Types must match")((IV->getType() == ID.getStartValue()->getType() && "Types must match") ? static_cast<void> (0) : __assert_fail ("IV->getType() == ID.getStartValue()->getType() && \"Types must match\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1943, __PRETTY_FUNCTION__)); | ||||||||
| 1944 | |||||||||
| 1945 | // The value from the original loop to which we are mapping the new induction | ||||||||
| 1946 | // variable. | ||||||||
| 1947 | Instruction *EntryVal = Trunc ? cast<Instruction>(Trunc) : IV; | ||||||||
| 1948 | |||||||||
| 1949 | auto &DL = OrigLoop->getHeader()->getModule()->getDataLayout(); | ||||||||
| 1950 | |||||||||
| 1951 | // Generate code for the induction step. Note that induction steps are | ||||||||
| 1952 | // required to be loop-invariant | ||||||||
| 1953 | auto CreateStepValue = [&](const SCEV *Step) -> Value * { | ||||||||
| 1954 | assert(PSE.getSE()->isLoopInvariant(Step, OrigLoop) &&((PSE.getSE()->isLoopInvariant(Step, OrigLoop) && "Induction step should be loop invariant" ) ? static_cast<void> (0) : __assert_fail ("PSE.getSE()->isLoopInvariant(Step, OrigLoop) && \"Induction step should be loop invariant\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1955, __PRETTY_FUNCTION__)) | ||||||||
| 1955 | "Induction step should be loop invariant")((PSE.getSE()->isLoopInvariant(Step, OrigLoop) && "Induction step should be loop invariant" ) ? static_cast<void> (0) : __assert_fail ("PSE.getSE()->isLoopInvariant(Step, OrigLoop) && \"Induction step should be loop invariant\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1955, __PRETTY_FUNCTION__)); | ||||||||
| 1956 | if (PSE.getSE()->isSCEVable(IV->getType())) { | ||||||||
| 1957 | SCEVExpander Exp(*PSE.getSE(), DL, "induction"); | ||||||||
| 1958 | return Exp.expandCodeFor(Step, Step->getType(), | ||||||||
| 1959 | LoopVectorPreHeader->getTerminator()); | ||||||||
| 1960 | } | ||||||||
| 1961 | return cast<SCEVUnknown>(Step)->getValue(); | ||||||||
| 1962 | }; | ||||||||
| 1963 | |||||||||
| 1964 | // The scalar value to broadcast. This is derived from the canonical | ||||||||
| 1965 | // induction variable. If a truncation type is given, truncate the canonical | ||||||||
| 1966 | // induction variable and step. Otherwise, derive these values from the | ||||||||
| 1967 | // induction descriptor. | ||||||||
| 1968 | auto CreateScalarIV = [&](Value *&Step) -> Value * { | ||||||||
| 1969 | Value *ScalarIV = Induction; | ||||||||
| 1970 | if (IV != OldInduction) { | ||||||||
| 1971 | ScalarIV = IV->getType()->isIntegerTy() | ||||||||
| 1972 | ? Builder.CreateSExtOrTrunc(Induction, IV->getType()) | ||||||||
| 1973 | : Builder.CreateCast(Instruction::SIToFP, Induction, | ||||||||
| 1974 | IV->getType()); | ||||||||
| 1975 | ScalarIV = emitTransformedIndex(Builder, ScalarIV, PSE.getSE(), DL, ID); | ||||||||
| 1976 | ScalarIV->setName("offset.idx"); | ||||||||
| 1977 | } | ||||||||
| 1978 | if (Trunc) { | ||||||||
| 1979 | auto *TruncType = cast<IntegerType>(Trunc->getType()); | ||||||||
| 1980 | assert(Step->getType()->isIntegerTy() &&((Step->getType()->isIntegerTy() && "Truncation requires an integer step" ) ? static_cast<void> (0) : __assert_fail ("Step->getType()->isIntegerTy() && \"Truncation requires an integer step\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1981, __PRETTY_FUNCTION__)) | ||||||||
| 1981 | "Truncation requires an integer step")((Step->getType()->isIntegerTy() && "Truncation requires an integer step" ) ? static_cast<void> (0) : __assert_fail ("Step->getType()->isIntegerTy() && \"Truncation requires an integer step\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1981, __PRETTY_FUNCTION__)); | ||||||||
| 1982 | ScalarIV = Builder.CreateTrunc(ScalarIV, TruncType); | ||||||||
| 1983 | Step = Builder.CreateTrunc(Step, TruncType); | ||||||||
| 1984 | } | ||||||||
| 1985 | return ScalarIV; | ||||||||
| 1986 | }; | ||||||||
| 1987 | |||||||||
| 1988 | // Create the vector values from the scalar IV, in the absence of creating a | ||||||||
| 1989 | // vector IV. | ||||||||
| 1990 | auto CreateSplatIV = [&](Value *ScalarIV, Value *Step) { | ||||||||
| 1991 | Value *Broadcasted = getBroadcastInstrs(ScalarIV); | ||||||||
| 1992 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 1993 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 1993, __PRETTY_FUNCTION__)); | ||||||||
| 1994 | Value *EntryPart = | ||||||||
| 1995 | getStepVector(Broadcasted, VF.getKnownMinValue() * Part, Step, | ||||||||
| 1996 | ID.getInductionOpcode()); | ||||||||
| 1997 | VectorLoopValueMap.setVectorValue(EntryVal, Part, EntryPart); | ||||||||
| 1998 | if (Trunc) | ||||||||
| 1999 | addMetadata(EntryPart, Trunc); | ||||||||
| 2000 | recordVectorLoopValueForInductionCast(ID, EntryVal, EntryPart, Part); | ||||||||
| 2001 | } | ||||||||
| 2002 | }; | ||||||||
| 2003 | |||||||||
| 2004 | // Now do the actual transformations, and start with creating the step value. | ||||||||
| 2005 | Value *Step = CreateStepValue(ID.getStep()); | ||||||||
| 2006 | if (VF.isZero() || VF.isScalar()) { | ||||||||
| 2007 | Value *ScalarIV = CreateScalarIV(Step); | ||||||||
| 2008 | CreateSplatIV(ScalarIV, Step); | ||||||||
| 2009 | return; | ||||||||
| 2010 | } | ||||||||
| 2011 | |||||||||
| 2012 | // Determine if we want a scalar version of the induction variable. This is | ||||||||
| 2013 | // true if the induction variable itself is not widened, or if it has at | ||||||||
| 2014 | // least one user in the loop that is not widened. | ||||||||
| 2015 | auto NeedsScalarIV = needsScalarInduction(EntryVal); | ||||||||
| 2016 | if (!NeedsScalarIV) { | ||||||||
| 2017 | createVectorIntOrFpInductionPHI(ID, Step, EntryVal); | ||||||||
| 2018 | return; | ||||||||
| 2019 | } | ||||||||
| 2020 | |||||||||
| 2021 | // Try to create a new independent vector induction variable. If we can't | ||||||||
| 2022 | // create the phi node, we will splat the scalar induction variable in each | ||||||||
| 2023 | // loop iteration. | ||||||||
| 2024 | if (!shouldScalarizeInstruction(EntryVal)) { | ||||||||
| 2025 | createVectorIntOrFpInductionPHI(ID, Step, EntryVal); | ||||||||
| 2026 | Value *ScalarIV = CreateScalarIV(Step); | ||||||||
| 2027 | // Create scalar steps that can be used by instructions we will later | ||||||||
| 2028 | // scalarize. Note that the addition of the scalar steps will not increase | ||||||||
| 2029 | // the number of instructions in the loop in the common case prior to | ||||||||
| 2030 | // InstCombine. We will be trading one vector extract for each scalar step. | ||||||||
| 2031 | buildScalarSteps(ScalarIV, Step, EntryVal, ID); | ||||||||
| 2032 | return; | ||||||||
| 2033 | } | ||||||||
| 2034 | |||||||||
| 2035 | // All IV users are scalar instructions, so only emit a scalar IV, not a | ||||||||
| 2036 | // vectorised IV. Except when we tail-fold, then the splat IV feeds the | ||||||||
| 2037 | // predicate used by the masked loads/stores. | ||||||||
| 2038 | Value *ScalarIV = CreateScalarIV(Step); | ||||||||
| 2039 | if (!Cost->isScalarEpilogueAllowed()) | ||||||||
| 2040 | CreateSplatIV(ScalarIV, Step); | ||||||||
| 2041 | buildScalarSteps(ScalarIV, Step, EntryVal, ID); | ||||||||
| 2042 | } | ||||||||
| 2043 | |||||||||
| 2044 | Value *InnerLoopVectorizer::getStepVector(Value *Val, int StartIdx, Value *Step, | ||||||||
| 2045 | Instruction::BinaryOps BinOp) { | ||||||||
| 2046 | // Create and check the types. | ||||||||
| 2047 | auto *ValVTy = cast<FixedVectorType>(Val->getType()); | ||||||||
| 2048 | int VLen = ValVTy->getNumElements(); | ||||||||
| 2049 | |||||||||
| 2050 | Type *STy = Val->getType()->getScalarType(); | ||||||||
| 2051 | assert((STy->isIntegerTy() || STy->isFloatingPointTy()) &&(((STy->isIntegerTy() || STy->isFloatingPointTy()) && "Induction Step must be an integer or FP") ? static_cast< void> (0) : __assert_fail ("(STy->isIntegerTy() || STy->isFloatingPointTy()) && \"Induction Step must be an integer or FP\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2052, __PRETTY_FUNCTION__)) | ||||||||
| 2052 | "Induction Step must be an integer or FP")(((STy->isIntegerTy() || STy->isFloatingPointTy()) && "Induction Step must be an integer or FP") ? static_cast< void> (0) : __assert_fail ("(STy->isIntegerTy() || STy->isFloatingPointTy()) && \"Induction Step must be an integer or FP\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2052, __PRETTY_FUNCTION__)); | ||||||||
| 2053 | assert(Step->getType() == STy && "Step has wrong type")((Step->getType() == STy && "Step has wrong type") ? static_cast<void> (0) : __assert_fail ("Step->getType() == STy && \"Step has wrong type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2053, __PRETTY_FUNCTION__)); | ||||||||
| 2054 | |||||||||
| 2055 | SmallVector<Constant *, 8> Indices; | ||||||||
| 2056 | |||||||||
| 2057 | if (STy->isIntegerTy()) { | ||||||||
| 2058 | // Create a vector of consecutive numbers from zero to VF. | ||||||||
| 2059 | for (int i = 0; i < VLen; ++i) | ||||||||
| 2060 | Indices.push_back(ConstantInt::get(STy, StartIdx + i)); | ||||||||
| 2061 | |||||||||
| 2062 | // Add the consecutive indices to the vector value. | ||||||||
| 2063 | Constant *Cv = ConstantVector::get(Indices); | ||||||||
| 2064 | assert(Cv->getType() == Val->getType() && "Invalid consecutive vec")((Cv->getType() == Val->getType() && "Invalid consecutive vec" ) ? static_cast<void> (0) : __assert_fail ("Cv->getType() == Val->getType() && \"Invalid consecutive vec\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2064, __PRETTY_FUNCTION__)); | ||||||||
| 2065 | Step = Builder.CreateVectorSplat(VLen, Step); | ||||||||
| 2066 | assert(Step->getType() == Val->getType() && "Invalid step vec")((Step->getType() == Val->getType() && "Invalid step vec" ) ? static_cast<void> (0) : __assert_fail ("Step->getType() == Val->getType() && \"Invalid step vec\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2066, __PRETTY_FUNCTION__)); | ||||||||
| 2067 | // FIXME: The newly created binary instructions should contain nsw/nuw flags, | ||||||||
| 2068 | // which can be found from the original scalar operations. | ||||||||
| 2069 | Step = Builder.CreateMul(Cv, Step); | ||||||||
| 2070 | return Builder.CreateAdd(Val, Step, "induction"); | ||||||||
| 2071 | } | ||||||||
| 2072 | |||||||||
| 2073 | // Floating point induction. | ||||||||
| 2074 | assert((BinOp == Instruction::FAdd || BinOp == Instruction::FSub) &&(((BinOp == Instruction::FAdd || BinOp == Instruction::FSub) && "Binary Opcode should be specified for FP induction") ? static_cast <void> (0) : __assert_fail ("(BinOp == Instruction::FAdd || BinOp == Instruction::FSub) && \"Binary Opcode should be specified for FP induction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2075, __PRETTY_FUNCTION__)) | ||||||||
| 2075 | "Binary Opcode should be specified for FP induction")(((BinOp == Instruction::FAdd || BinOp == Instruction::FSub) && "Binary Opcode should be specified for FP induction") ? static_cast <void> (0) : __assert_fail ("(BinOp == Instruction::FAdd || BinOp == Instruction::FSub) && \"Binary Opcode should be specified for FP induction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2075, __PRETTY_FUNCTION__)); | ||||||||
| 2076 | // Create a vector of consecutive numbers from zero to VF. | ||||||||
| 2077 | for (int i = 0; i < VLen; ++i) | ||||||||
| 2078 | Indices.push_back(ConstantFP::get(STy, (double)(StartIdx + i))); | ||||||||
| 2079 | |||||||||
| 2080 | // Add the consecutive indices to the vector value. | ||||||||
| 2081 | Constant *Cv = ConstantVector::get(Indices); | ||||||||
| 2082 | |||||||||
| 2083 | Step = Builder.CreateVectorSplat(VLen, Step); | ||||||||
| 2084 | |||||||||
| 2085 | // Floating point operations had to be 'fast' to enable the induction. | ||||||||
| 2086 | FastMathFlags Flags; | ||||||||
| 2087 | Flags.setFast(); | ||||||||
| 2088 | |||||||||
| 2089 | Value *MulOp = Builder.CreateFMul(Cv, Step); | ||||||||
| 2090 | if (isa<Instruction>(MulOp)) | ||||||||
| 2091 | // Have to check, MulOp may be a constant | ||||||||
| 2092 | cast<Instruction>(MulOp)->setFastMathFlags(Flags); | ||||||||
| 2093 | |||||||||
| 2094 | Value *BOp = Builder.CreateBinOp(BinOp, Val, MulOp, "induction"); | ||||||||
| 2095 | if (isa<Instruction>(BOp)) | ||||||||
| 2096 | cast<Instruction>(BOp)->setFastMathFlags(Flags); | ||||||||
| 2097 | return BOp; | ||||||||
| 2098 | } | ||||||||
| 2099 | |||||||||
| 2100 | void InnerLoopVectorizer::buildScalarSteps(Value *ScalarIV, Value *Step, | ||||||||
| 2101 | Instruction *EntryVal, | ||||||||
| 2102 | const InductionDescriptor &ID) { | ||||||||
| 2103 | // We shouldn't have to build scalar steps if we aren't vectorizing. | ||||||||
| 2104 | assert(VF.isVector() && "VF should be greater than one")((VF.isVector() && "VF should be greater than one") ? static_cast<void> (0) : __assert_fail ("VF.isVector() && \"VF should be greater than one\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2104, __PRETTY_FUNCTION__)); | ||||||||
| 2105 | assert(!VF.isScalable() &&((!VF.isScalable() && "the code below assumes a fixed number of elements at compile time" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"the code below assumes a fixed number of elements at compile time\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2106, __PRETTY_FUNCTION__)) | ||||||||
| 2106 | "the code below assumes a fixed number of elements at compile time")((!VF.isScalable() && "the code below assumes a fixed number of elements at compile time" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"the code below assumes a fixed number of elements at compile time\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2106, __PRETTY_FUNCTION__)); | ||||||||
| 2107 | // Get the value type and ensure it and the step have the same integer type. | ||||||||
| 2108 | Type *ScalarIVTy = ScalarIV->getType()->getScalarType(); | ||||||||
| 2109 | assert(ScalarIVTy == Step->getType() &&((ScalarIVTy == Step->getType() && "Val and Step should have the same type" ) ? static_cast<void> (0) : __assert_fail ("ScalarIVTy == Step->getType() && \"Val and Step should have the same type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2110, __PRETTY_FUNCTION__)) | ||||||||
| 2110 | "Val and Step should have the same type")((ScalarIVTy == Step->getType() && "Val and Step should have the same type" ) ? static_cast<void> (0) : __assert_fail ("ScalarIVTy == Step->getType() && \"Val and Step should have the same type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2110, __PRETTY_FUNCTION__)); | ||||||||
| 2111 | |||||||||
| 2112 | // We build scalar steps for both integer and floating-point induction | ||||||||
| 2113 | // variables. Here, we determine the kind of arithmetic we will perform. | ||||||||
| 2114 | Instruction::BinaryOps AddOp; | ||||||||
| 2115 | Instruction::BinaryOps MulOp; | ||||||||
| 2116 | if (ScalarIVTy->isIntegerTy()) { | ||||||||
| 2117 | AddOp = Instruction::Add; | ||||||||
| 2118 | MulOp = Instruction::Mul; | ||||||||
| 2119 | } else { | ||||||||
| 2120 | AddOp = ID.getInductionOpcode(); | ||||||||
| 2121 | MulOp = Instruction::FMul; | ||||||||
| 2122 | } | ||||||||
| 2123 | |||||||||
| 2124 | // Determine the number of scalars we need to generate for each unroll | ||||||||
| 2125 | // iteration. If EntryVal is uniform, we only need to generate the first | ||||||||
| 2126 | // lane. Otherwise, we generate all VF values. | ||||||||
| 2127 | unsigned Lanes = | ||||||||
| 2128 | Cost->isUniformAfterVectorization(cast<Instruction>(EntryVal), VF) | ||||||||
| 2129 | ? 1 | ||||||||
| 2130 | : VF.getKnownMinValue(); | ||||||||
| 2131 | // Compute the scalar steps and save the results in VectorLoopValueMap. | ||||||||
| 2132 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 2133 | for (unsigned Lane = 0; Lane < Lanes; ++Lane) { | ||||||||
| 2134 | auto *StartIdx = getSignedIntOrFpConstant( | ||||||||
| 2135 | ScalarIVTy, VF.getKnownMinValue() * Part + Lane); | ||||||||
| 2136 | auto *Mul = addFastMathFlag(Builder.CreateBinOp(MulOp, StartIdx, Step)); | ||||||||
| 2137 | auto *Add = addFastMathFlag(Builder.CreateBinOp(AddOp, ScalarIV, Mul)); | ||||||||
| 2138 | VectorLoopValueMap.setScalarValue(EntryVal, {Part, Lane}, Add); | ||||||||
| 2139 | recordVectorLoopValueForInductionCast(ID, EntryVal, Add, Part, Lane); | ||||||||
| 2140 | } | ||||||||
| 2141 | } | ||||||||
| 2142 | } | ||||||||
| 2143 | |||||||||
| 2144 | Value *InnerLoopVectorizer::getOrCreateVectorValue(Value *V, unsigned Part) { | ||||||||
| 2145 | assert(V != Induction && "The new induction variable should not be used.")((V != Induction && "The new induction variable should not be used." ) ? static_cast<void> (0) : __assert_fail ("V != Induction && \"The new induction variable should not be used.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2145, __PRETTY_FUNCTION__)); | ||||||||
| 2146 | assert(!V->getType()->isVectorTy() && "Can't widen a vector")((!V->getType()->isVectorTy() && "Can't widen a vector" ) ? static_cast<void> (0) : __assert_fail ("!V->getType()->isVectorTy() && \"Can't widen a vector\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2146, __PRETTY_FUNCTION__)); | ||||||||
| 2147 | assert(!V->getType()->isVoidTy() && "Type does not produce a value")((!V->getType()->isVoidTy() && "Type does not produce a value" ) ? static_cast<void> (0) : __assert_fail ("!V->getType()->isVoidTy() && \"Type does not produce a value\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2147, __PRETTY_FUNCTION__)); | ||||||||
| 2148 | |||||||||
| 2149 | // If we have a stride that is replaced by one, do it here. Defer this for | ||||||||
| 2150 | // the VPlan-native path until we start running Legal checks in that path. | ||||||||
| 2151 | if (!EnableVPlanNativePath && Legal->hasStride(V)) | ||||||||
| 2152 | V = ConstantInt::get(V->getType(), 1); | ||||||||
| 2153 | |||||||||
| 2154 | // If we have a vector mapped to this value, return it. | ||||||||
| 2155 | if (VectorLoopValueMap.hasVectorValue(V, Part)) | ||||||||
| 2156 | return VectorLoopValueMap.getVectorValue(V, Part); | ||||||||
| 2157 | |||||||||
| 2158 | // If the value has not been vectorized, check if it has been scalarized | ||||||||
| 2159 | // instead. If it has been scalarized, and we actually need the value in | ||||||||
| 2160 | // vector form, we will construct the vector values on demand. | ||||||||
| 2161 | if (VectorLoopValueMap.hasAnyScalarValue(V)) { | ||||||||
| 2162 | Value *ScalarValue = VectorLoopValueMap.getScalarValue(V, {Part, 0}); | ||||||||
| 2163 | |||||||||
| 2164 | // If we've scalarized a value, that value should be an instruction. | ||||||||
| 2165 | auto *I = cast<Instruction>(V); | ||||||||
| 2166 | |||||||||
| 2167 | // If we aren't vectorizing, we can just copy the scalar map values over to | ||||||||
| 2168 | // the vector map. | ||||||||
| 2169 | if (VF == 1) { | ||||||||
| 2170 | VectorLoopValueMap.setVectorValue(V, Part, ScalarValue); | ||||||||
| 2171 | return ScalarValue; | ||||||||
| 2172 | } | ||||||||
| 2173 | |||||||||
| 2174 | // Get the last scalar instruction we generated for V and Part. If the value | ||||||||
| 2175 | // is known to be uniform after vectorization, this corresponds to lane zero | ||||||||
| 2176 | // of the Part unroll iteration. Otherwise, the last instruction is the one | ||||||||
| 2177 | // we created for the last vector lane of the Part unroll iteration. | ||||||||
| 2178 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2178, __PRETTY_FUNCTION__)); | ||||||||
| 2179 | unsigned LastLane = Cost->isUniformAfterVectorization(I, VF) | ||||||||
| 2180 | ? 0 | ||||||||
| 2181 | : VF.getKnownMinValue() - 1; | ||||||||
| 2182 | auto *LastInst = cast<Instruction>( | ||||||||
| 2183 | VectorLoopValueMap.getScalarValue(V, {Part, LastLane})); | ||||||||
| 2184 | |||||||||
| 2185 | // Set the insert point after the last scalarized instruction. This ensures | ||||||||
| 2186 | // the insertelement sequence will directly follow the scalar definitions. | ||||||||
| 2187 | auto OldIP = Builder.saveIP(); | ||||||||
| 2188 | auto NewIP = std::next(BasicBlock::iterator(LastInst)); | ||||||||
| 2189 | Builder.SetInsertPoint(&*NewIP); | ||||||||
| 2190 | |||||||||
| 2191 | // However, if we are vectorizing, we need to construct the vector values. | ||||||||
| 2192 | // If the value is known to be uniform after vectorization, we can just | ||||||||
| 2193 | // broadcast the scalar value corresponding to lane zero for each unroll | ||||||||
| 2194 | // iteration. Otherwise, we construct the vector values using insertelement | ||||||||
| 2195 | // instructions. Since the resulting vectors are stored in | ||||||||
| 2196 | // VectorLoopValueMap, we will only generate the insertelements once. | ||||||||
| 2197 | Value *VectorValue = nullptr; | ||||||||
| 2198 | if (Cost->isUniformAfterVectorization(I, VF)) { | ||||||||
| 2199 | VectorValue = getBroadcastInstrs(ScalarValue); | ||||||||
| 2200 | VectorLoopValueMap.setVectorValue(V, Part, VectorValue); | ||||||||
| 2201 | } else { | ||||||||
| 2202 | // Initialize packing with insertelements to start from undef. | ||||||||
| 2203 | assert(!VF.isScalable() && "VF is assumed to be non scalable.")((!VF.isScalable() && "VF is assumed to be non scalable." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"VF is assumed to be non scalable.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2203, __PRETTY_FUNCTION__)); | ||||||||
| 2204 | Value *Undef = UndefValue::get(VectorType::get(V->getType(), VF)); | ||||||||
| 2205 | VectorLoopValueMap.setVectorValue(V, Part, Undef); | ||||||||
| 2206 | for (unsigned Lane = 0; Lane < VF.getKnownMinValue(); ++Lane) | ||||||||
| 2207 | packScalarIntoVectorValue(V, {Part, Lane}); | ||||||||
| 2208 | VectorValue = VectorLoopValueMap.getVectorValue(V, Part); | ||||||||
| 2209 | } | ||||||||
| 2210 | Builder.restoreIP(OldIP); | ||||||||
| 2211 | return VectorValue; | ||||||||
| 2212 | } | ||||||||
| 2213 | |||||||||
| 2214 | // If this scalar is unknown, assume that it is a constant or that it is | ||||||||
| 2215 | // loop invariant. Broadcast V and save the value for future uses. | ||||||||
| 2216 | Value *B = getBroadcastInstrs(V); | ||||||||
| 2217 | VectorLoopValueMap.setVectorValue(V, Part, B); | ||||||||
| 2218 | return B; | ||||||||
| 2219 | } | ||||||||
| 2220 | |||||||||
| 2221 | Value * | ||||||||
| 2222 | InnerLoopVectorizer::getOrCreateScalarValue(Value *V, | ||||||||
| 2223 | const VPIteration &Instance) { | ||||||||
| 2224 | // If the value is not an instruction contained in the loop, it should | ||||||||
| 2225 | // already be scalar. | ||||||||
| 2226 | if (OrigLoop->isLoopInvariant(V)) | ||||||||
| 2227 | return V; | ||||||||
| 2228 | |||||||||
| 2229 | assert(Instance.Lane > 0((Instance.Lane > 0 ? !Cost->isUniformAfterVectorization (cast<Instruction>(V), VF) : true && "Uniform values only have lane zero" ) ? static_cast<void> (0) : __assert_fail ("Instance.Lane > 0 ? !Cost->isUniformAfterVectorization(cast<Instruction>(V), VF) : true && \"Uniform values only have lane zero\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2231, __PRETTY_FUNCTION__)) | ||||||||
| 2230 | ? !Cost->isUniformAfterVectorization(cast<Instruction>(V), VF)((Instance.Lane > 0 ? !Cost->isUniformAfterVectorization (cast<Instruction>(V), VF) : true && "Uniform values only have lane zero" ) ? static_cast<void> (0) : __assert_fail ("Instance.Lane > 0 ? !Cost->isUniformAfterVectorization(cast<Instruction>(V), VF) : true && \"Uniform values only have lane zero\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2231, __PRETTY_FUNCTION__)) | ||||||||
| 2231 | : true && "Uniform values only have lane zero")((Instance.Lane > 0 ? !Cost->isUniformAfterVectorization (cast<Instruction>(V), VF) : true && "Uniform values only have lane zero" ) ? static_cast<void> (0) : __assert_fail ("Instance.Lane > 0 ? !Cost->isUniformAfterVectorization(cast<Instruction>(V), VF) : true && \"Uniform values only have lane zero\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2231, __PRETTY_FUNCTION__)); | ||||||||
| 2232 | |||||||||
| 2233 | // If the value from the original loop has not been vectorized, it is | ||||||||
| 2234 | // represented by UF x VF scalar values in the new loop. Return the requested | ||||||||
| 2235 | // scalar value. | ||||||||
| 2236 | if (VectorLoopValueMap.hasScalarValue(V, Instance)) | ||||||||
| 2237 | return VectorLoopValueMap.getScalarValue(V, Instance); | ||||||||
| 2238 | |||||||||
| 2239 | // If the value has not been scalarized, get its entry in VectorLoopValueMap | ||||||||
| 2240 | // for the given unroll part. If this entry is not a vector type (i.e., the | ||||||||
| 2241 | // vectorization factor is one), there is no need to generate an | ||||||||
| 2242 | // extractelement instruction. | ||||||||
| 2243 | auto *U = getOrCreateVectorValue(V, Instance.Part); | ||||||||
| 2244 | if (!U->getType()->isVectorTy()) { | ||||||||
| 2245 | assert(VF == 1 && "Value not scalarized has non-vector type")((VF == 1 && "Value not scalarized has non-vector type" ) ? static_cast<void> (0) : __assert_fail ("VF == 1 && \"Value not scalarized has non-vector type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2245, __PRETTY_FUNCTION__)); | ||||||||
| 2246 | return U; | ||||||||
| 2247 | } | ||||||||
| 2248 | |||||||||
| 2249 | // Otherwise, the value from the original loop has been vectorized and is | ||||||||
| 2250 | // represented by UF vector values. Extract and return the requested scalar | ||||||||
| 2251 | // value from the appropriate vector lane. | ||||||||
| 2252 | return Builder.CreateExtractElement(U, Builder.getInt32(Instance.Lane)); | ||||||||
| 2253 | } | ||||||||
| 2254 | |||||||||
| 2255 | void InnerLoopVectorizer::packScalarIntoVectorValue( | ||||||||
| 2256 | Value *V, const VPIteration &Instance) { | ||||||||
| 2257 | assert(V != Induction && "The new induction variable should not be used.")((V != Induction && "The new induction variable should not be used." ) ? static_cast<void> (0) : __assert_fail ("V != Induction && \"The new induction variable should not be used.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2257, __PRETTY_FUNCTION__)); | ||||||||
| 2258 | assert(!V->getType()->isVectorTy() && "Can't pack a vector")((!V->getType()->isVectorTy() && "Can't pack a vector" ) ? static_cast<void> (0) : __assert_fail ("!V->getType()->isVectorTy() && \"Can't pack a vector\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2258, __PRETTY_FUNCTION__)); | ||||||||
| 2259 | assert(!V->getType()->isVoidTy() && "Type does not produce a value")((!V->getType()->isVoidTy() && "Type does not produce a value" ) ? static_cast<void> (0) : __assert_fail ("!V->getType()->isVoidTy() && \"Type does not produce a value\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2259, __PRETTY_FUNCTION__)); | ||||||||
| 2260 | |||||||||
| 2261 | Value *ScalarInst = VectorLoopValueMap.getScalarValue(V, Instance); | ||||||||
| 2262 | Value *VectorValue = VectorLoopValueMap.getVectorValue(V, Instance.Part); | ||||||||
| 2263 | VectorValue = Builder.CreateInsertElement(VectorValue, ScalarInst, | ||||||||
| 2264 | Builder.getInt32(Instance.Lane)); | ||||||||
| 2265 | VectorLoopValueMap.resetVectorValue(V, Instance.Part, VectorValue); | ||||||||
| 2266 | } | ||||||||
| 2267 | |||||||||
| 2268 | Value *InnerLoopVectorizer::reverseVector(Value *Vec) { | ||||||||
| 2269 | assert(Vec->getType()->isVectorTy() && "Invalid type")((Vec->getType()->isVectorTy() && "Invalid type" ) ? static_cast<void> (0) : __assert_fail ("Vec->getType()->isVectorTy() && \"Invalid type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2269, __PRETTY_FUNCTION__)); | ||||||||
| 2270 | assert(!VF.isScalable() && "Cannot reverse scalable vectors")((!VF.isScalable() && "Cannot reverse scalable vectors" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"Cannot reverse scalable vectors\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2270, __PRETTY_FUNCTION__)); | ||||||||
| 2271 | SmallVector<int, 8> ShuffleMask; | ||||||||
| 2272 | for (unsigned i = 0; i < VF.getKnownMinValue(); ++i) | ||||||||
| 2273 | ShuffleMask.push_back(VF.getKnownMinValue() - i - 1); | ||||||||
| 2274 | |||||||||
| 2275 | return Builder.CreateShuffleVector(Vec, ShuffleMask, "reverse"); | ||||||||
| 2276 | } | ||||||||
| 2277 | |||||||||
| 2278 | // Return whether we allow using masked interleave-groups (for dealing with | ||||||||
| 2279 | // strided loads/stores that reside in predicated blocks, or for dealing | ||||||||
| 2280 | // with gaps). | ||||||||
| 2281 | static bool useMaskedInterleavedAccesses(const TargetTransformInfo &TTI) { | ||||||||
| 2282 | // If an override option has been passed in for interleaved accesses, use it. | ||||||||
| 2283 | if (EnableMaskedInterleavedMemAccesses.getNumOccurrences() > 0) | ||||||||
| 2284 | return EnableMaskedInterleavedMemAccesses; | ||||||||
| 2285 | |||||||||
| 2286 | return TTI.enableMaskedInterleavedAccessVectorization(); | ||||||||
| 2287 | } | ||||||||
| 2288 | |||||||||
| 2289 | // Try to vectorize the interleave group that \p Instr belongs to. | ||||||||
| 2290 | // | ||||||||
| 2291 | // E.g. Translate following interleaved load group (factor = 3): | ||||||||
| 2292 | // for (i = 0; i < N; i+=3) { | ||||||||
| 2293 | // R = Pic[i]; // Member of index 0 | ||||||||
| 2294 | // G = Pic[i+1]; // Member of index 1 | ||||||||
| 2295 | // B = Pic[i+2]; // Member of index 2 | ||||||||
| 2296 | // ... // do something to R, G, B | ||||||||
| 2297 | // } | ||||||||
| 2298 | // To: | ||||||||
| 2299 | // %wide.vec = load <12 x i32> ; Read 4 tuples of R,G,B | ||||||||
| 2300 | // %R.vec = shuffle %wide.vec, undef, <0, 3, 6, 9> ; R elements | ||||||||
| 2301 | // %G.vec = shuffle %wide.vec, undef, <1, 4, 7, 10> ; G elements | ||||||||
| 2302 | // %B.vec = shuffle %wide.vec, undef, <2, 5, 8, 11> ; B elements | ||||||||
| 2303 | // | ||||||||
| 2304 | // Or translate following interleaved store group (factor = 3): | ||||||||
| 2305 | // for (i = 0; i < N; i+=3) { | ||||||||
| 2306 | // ... do something to R, G, B | ||||||||
| 2307 | // Pic[i] = R; // Member of index 0 | ||||||||
| 2308 | // Pic[i+1] = G; // Member of index 1 | ||||||||
| 2309 | // Pic[i+2] = B; // Member of index 2 | ||||||||
| 2310 | // } | ||||||||
| 2311 | // To: | ||||||||
| 2312 | // %R_G.vec = shuffle %R.vec, %G.vec, <0, 1, 2, ..., 7> | ||||||||
| 2313 | // %B_U.vec = shuffle %B.vec, undef, <0, 1, 2, 3, u, u, u, u> | ||||||||
| 2314 | // %interleaved.vec = shuffle %R_G.vec, %B_U.vec, | ||||||||
| 2315 | // <0, 4, 8, 1, 5, 9, 2, 6, 10, 3, 7, 11> ; Interleave R,G,B elements | ||||||||
| 2316 | // store <12 x i32> %interleaved.vec ; Write 4 tuples of R,G,B | ||||||||
| 2317 | void InnerLoopVectorizer::vectorizeInterleaveGroup( | ||||||||
| 2318 | const InterleaveGroup<Instruction> *Group, VPTransformState &State, | ||||||||
| 2319 | VPValue *Addr, VPValue *BlockInMask) { | ||||||||
| 2320 | Instruction *Instr = Group->getInsertPos(); | ||||||||
| 2321 | const DataLayout &DL = Instr->getModule()->getDataLayout(); | ||||||||
| 2322 | |||||||||
| 2323 | // Prepare for the vector type of the interleaved load/store. | ||||||||
| 2324 | Type *ScalarTy = getMemInstValueType(Instr); | ||||||||
| 2325 | unsigned InterleaveFactor = Group->getFactor(); | ||||||||
| 2326 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2326, __PRETTY_FUNCTION__)); | ||||||||
| 2327 | auto *VecTy = VectorType::get(ScalarTy, VF * InterleaveFactor); | ||||||||
| 2328 | |||||||||
| 2329 | // Prepare for the new pointers. | ||||||||
| 2330 | SmallVector<Value *, 2> AddrParts; | ||||||||
| 2331 | unsigned Index = Group->getIndex(Instr); | ||||||||
| 2332 | |||||||||
| 2333 | // TODO: extend the masked interleaved-group support to reversed access. | ||||||||
| 2334 | assert((!BlockInMask || !Group->isReverse()) &&(((!BlockInMask || !Group->isReverse()) && "Reversed masked interleave-group not supported." ) ? static_cast<void> (0) : __assert_fail ("(!BlockInMask || !Group->isReverse()) && \"Reversed masked interleave-group not supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2335, __PRETTY_FUNCTION__)) | ||||||||
| 2335 | "Reversed masked interleave-group not supported.")(((!BlockInMask || !Group->isReverse()) && "Reversed masked interleave-group not supported." ) ? static_cast<void> (0) : __assert_fail ("(!BlockInMask || !Group->isReverse()) && \"Reversed masked interleave-group not supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2335, __PRETTY_FUNCTION__)); | ||||||||
| 2336 | |||||||||
| 2337 | // If the group is reverse, adjust the index to refer to the last vector lane | ||||||||
| 2338 | // instead of the first. We adjust the index from the first vector lane, | ||||||||
| 2339 | // rather than directly getting the pointer for lane VF - 1, because the | ||||||||
| 2340 | // pointer operand of the interleaved access is supposed to be uniform. For | ||||||||
| 2341 | // uniform instructions, we're only required to generate a value for the | ||||||||
| 2342 | // first vector lane in each unroll iteration. | ||||||||
| 2343 | assert(!VF.isScalable() &&((!VF.isScalable() && "scalable vector reverse operation is not implemented" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vector reverse operation is not implemented\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2344, __PRETTY_FUNCTION__)) | ||||||||
| 2344 | "scalable vector reverse operation is not implemented")((!VF.isScalable() && "scalable vector reverse operation is not implemented" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vector reverse operation is not implemented\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2344, __PRETTY_FUNCTION__)); | ||||||||
| 2345 | if (Group->isReverse()) | ||||||||
| 2346 | Index += (VF.getKnownMinValue() - 1) * Group->getFactor(); | ||||||||
| 2347 | |||||||||
| 2348 | for (unsigned Part = 0; Part < UF; Part++) { | ||||||||
| 2349 | Value *AddrPart = State.get(Addr, {Part, 0}); | ||||||||
| 2350 | setDebugLocFromInst(Builder, AddrPart); | ||||||||
| 2351 | |||||||||
| 2352 | // Notice current instruction could be any index. Need to adjust the address | ||||||||
| 2353 | // to the member of index 0. | ||||||||
| 2354 | // | ||||||||
| 2355 | // E.g. a = A[i+1]; // Member of index 1 (Current instruction) | ||||||||
| 2356 | // b = A[i]; // Member of index 0 | ||||||||
| 2357 | // Current pointer is pointed to A[i+1], adjust it to A[i]. | ||||||||
| 2358 | // | ||||||||
| 2359 | // E.g. A[i+1] = a; // Member of index 1 | ||||||||
| 2360 | // A[i] = b; // Member of index 0 | ||||||||
| 2361 | // A[i+2] = c; // Member of index 2 (Current instruction) | ||||||||
| 2362 | // Current pointer is pointed to A[i+2], adjust it to A[i]. | ||||||||
| 2363 | |||||||||
| 2364 | bool InBounds = false; | ||||||||
| 2365 | if (auto *gep = dyn_cast<GetElementPtrInst>(AddrPart->stripPointerCasts())) | ||||||||
| 2366 | InBounds = gep->isInBounds(); | ||||||||
| 2367 | AddrPart = Builder.CreateGEP(ScalarTy, AddrPart, Builder.getInt32(-Index)); | ||||||||
| 2368 | cast<GetElementPtrInst>(AddrPart)->setIsInBounds(InBounds); | ||||||||
| 2369 | |||||||||
| 2370 | // Cast to the vector pointer type. | ||||||||
| 2371 | unsigned AddressSpace = AddrPart->getType()->getPointerAddressSpace(); | ||||||||
| 2372 | Type *PtrTy = VecTy->getPointerTo(AddressSpace); | ||||||||
| 2373 | AddrParts.push_back(Builder.CreateBitCast(AddrPart, PtrTy)); | ||||||||
| 2374 | } | ||||||||
| 2375 | |||||||||
| 2376 | setDebugLocFromInst(Builder, Instr); | ||||||||
| 2377 | Value *UndefVec = UndefValue::get(VecTy); | ||||||||
| 2378 | |||||||||
| 2379 | Value *MaskForGaps = nullptr; | ||||||||
| 2380 | if (Group->requiresScalarEpilogue() && !Cost->isScalarEpilogueAllowed()) { | ||||||||
| 2381 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2381, __PRETTY_FUNCTION__)); | ||||||||
| 2382 | MaskForGaps = createBitMaskForGaps(Builder, VF.getKnownMinValue(), *Group); | ||||||||
| 2383 | assert(MaskForGaps && "Mask for Gaps is required but it is null")((MaskForGaps && "Mask for Gaps is required but it is null" ) ? static_cast<void> (0) : __assert_fail ("MaskForGaps && \"Mask for Gaps is required but it is null\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2383, __PRETTY_FUNCTION__)); | ||||||||
| 2384 | } | ||||||||
| 2385 | |||||||||
| 2386 | // Vectorize the interleaved load group. | ||||||||
| 2387 | if (isa<LoadInst>(Instr)) { | ||||||||
| 2388 | // For each unroll part, create a wide load for the group. | ||||||||
| 2389 | SmallVector<Value *, 2> NewLoads; | ||||||||
| 2390 | for (unsigned Part = 0; Part < UF; Part++) { | ||||||||
| 2391 | Instruction *NewLoad; | ||||||||
| 2392 | if (BlockInMask || MaskForGaps) { | ||||||||
| 2393 | assert(useMaskedInterleavedAccesses(*TTI) &&((useMaskedInterleavedAccesses(*TTI) && "masked interleaved groups are not allowed." ) ? static_cast<void> (0) : __assert_fail ("useMaskedInterleavedAccesses(*TTI) && \"masked interleaved groups are not allowed.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2394, __PRETTY_FUNCTION__)) | ||||||||
| 2394 | "masked interleaved groups are not allowed.")((useMaskedInterleavedAccesses(*TTI) && "masked interleaved groups are not allowed." ) ? static_cast<void> (0) : __assert_fail ("useMaskedInterleavedAccesses(*TTI) && \"masked interleaved groups are not allowed.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2394, __PRETTY_FUNCTION__)); | ||||||||
| 2395 | Value *GroupMask = MaskForGaps; | ||||||||
| 2396 | if (BlockInMask) { | ||||||||
| 2397 | Value *BlockInMaskPart = State.get(BlockInMask, Part); | ||||||||
| 2398 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2398, __PRETTY_FUNCTION__)); | ||||||||
| 2399 | Value *ShuffledMask = Builder.CreateShuffleVector( | ||||||||
| 2400 | BlockInMaskPart, | ||||||||
| 2401 | createReplicatedMask(InterleaveFactor, VF.getKnownMinValue()), | ||||||||
| 2402 | "interleaved.mask"); | ||||||||
| 2403 | GroupMask = MaskForGaps | ||||||||
| 2404 | ? Builder.CreateBinOp(Instruction::And, ShuffledMask, | ||||||||
| 2405 | MaskForGaps) | ||||||||
| 2406 | : ShuffledMask; | ||||||||
| 2407 | } | ||||||||
| 2408 | NewLoad = | ||||||||
| 2409 | Builder.CreateMaskedLoad(AddrParts[Part], Group->getAlign(), | ||||||||
| 2410 | GroupMask, UndefVec, "wide.masked.vec"); | ||||||||
| 2411 | } | ||||||||
| 2412 | else | ||||||||
| 2413 | NewLoad = Builder.CreateAlignedLoad(VecTy, AddrParts[Part], | ||||||||
| 2414 | Group->getAlign(), "wide.vec"); | ||||||||
| 2415 | Group->addMetadata(NewLoad); | ||||||||
| 2416 | NewLoads.push_back(NewLoad); | ||||||||
| 2417 | } | ||||||||
| 2418 | |||||||||
| 2419 | // For each member in the group, shuffle out the appropriate data from the | ||||||||
| 2420 | // wide loads. | ||||||||
| 2421 | for (unsigned I = 0; I < InterleaveFactor; ++I) { | ||||||||
| 2422 | Instruction *Member = Group->getMember(I); | ||||||||
| 2423 | |||||||||
| 2424 | // Skip the gaps in the group. | ||||||||
| 2425 | if (!Member) | ||||||||
| 2426 | continue; | ||||||||
| 2427 | |||||||||
| 2428 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2428, __PRETTY_FUNCTION__)); | ||||||||
| 2429 | auto StrideMask = | ||||||||
| 2430 | createStrideMask(I, InterleaveFactor, VF.getKnownMinValue()); | ||||||||
| 2431 | for (unsigned Part = 0; Part < UF; Part++) { | ||||||||
| 2432 | Value *StridedVec = Builder.CreateShuffleVector( | ||||||||
| 2433 | NewLoads[Part], StrideMask, "strided.vec"); | ||||||||
| 2434 | |||||||||
| 2435 | // If this member has different type, cast the result type. | ||||||||
| 2436 | if (Member->getType() != ScalarTy) { | ||||||||
| 2437 | assert(!VF.isScalable() && "VF is assumed to be non scalable.")((!VF.isScalable() && "VF is assumed to be non scalable." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"VF is assumed to be non scalable.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2437, __PRETTY_FUNCTION__)); | ||||||||
| 2438 | VectorType *OtherVTy = VectorType::get(Member->getType(), VF); | ||||||||
| 2439 | StridedVec = createBitOrPointerCast(StridedVec, OtherVTy, DL); | ||||||||
| 2440 | } | ||||||||
| 2441 | |||||||||
| 2442 | if (Group->isReverse()) | ||||||||
| 2443 | StridedVec = reverseVector(StridedVec); | ||||||||
| 2444 | |||||||||
| 2445 | VectorLoopValueMap.setVectorValue(Member, Part, StridedVec); | ||||||||
| 2446 | } | ||||||||
| 2447 | } | ||||||||
| 2448 | return; | ||||||||
| 2449 | } | ||||||||
| 2450 | |||||||||
| 2451 | // The sub vector type for current instruction. | ||||||||
| 2452 | assert(!VF.isScalable() && "VF is assumed to be non scalable.")((!VF.isScalable() && "VF is assumed to be non scalable." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"VF is assumed to be non scalable.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2452, __PRETTY_FUNCTION__)); | ||||||||
| 2453 | auto *SubVT = VectorType::get(ScalarTy, VF); | ||||||||
| 2454 | |||||||||
| 2455 | // Vectorize the interleaved store group. | ||||||||
| 2456 | for (unsigned Part = 0; Part < UF; Part++) { | ||||||||
| 2457 | // Collect the stored vector from each member. | ||||||||
| 2458 | SmallVector<Value *, 4> StoredVecs; | ||||||||
| 2459 | for (unsigned i = 0; i < InterleaveFactor; i++) { | ||||||||
| 2460 | // Interleaved store group doesn't allow a gap, so each index has a member | ||||||||
| 2461 | Instruction *Member = Group->getMember(i); | ||||||||
| 2462 | assert(Member && "Fail to get a member from an interleaved store group")((Member && "Fail to get a member from an interleaved store group" ) ? static_cast<void> (0) : __assert_fail ("Member && \"Fail to get a member from an interleaved store group\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2462, __PRETTY_FUNCTION__)); | ||||||||
| 2463 | |||||||||
| 2464 | Value *StoredVec = getOrCreateVectorValue( | ||||||||
| 2465 | cast<StoreInst>(Member)->getValueOperand(), Part); | ||||||||
| 2466 | if (Group->isReverse()) | ||||||||
| 2467 | StoredVec = reverseVector(StoredVec); | ||||||||
| 2468 | |||||||||
| 2469 | // If this member has different type, cast it to a unified type. | ||||||||
| 2470 | |||||||||
| 2471 | if (StoredVec->getType() != SubVT) | ||||||||
| 2472 | StoredVec = createBitOrPointerCast(StoredVec, SubVT, DL); | ||||||||
| 2473 | |||||||||
| 2474 | StoredVecs.push_back(StoredVec); | ||||||||
| 2475 | } | ||||||||
| 2476 | |||||||||
| 2477 | // Concatenate all vectors into a wide vector. | ||||||||
| 2478 | Value *WideVec = concatenateVectors(Builder, StoredVecs); | ||||||||
| 2479 | |||||||||
| 2480 | // Interleave the elements in the wide vector. | ||||||||
| 2481 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2481, __PRETTY_FUNCTION__)); | ||||||||
| 2482 | Value *IVec = Builder.CreateShuffleVector( | ||||||||
| 2483 | WideVec, createInterleaveMask(VF.getKnownMinValue(), InterleaveFactor), | ||||||||
| 2484 | "interleaved.vec"); | ||||||||
| 2485 | |||||||||
| 2486 | Instruction *NewStoreInstr; | ||||||||
| 2487 | if (BlockInMask) { | ||||||||
| 2488 | Value *BlockInMaskPart = State.get(BlockInMask, Part); | ||||||||
| 2489 | Value *ShuffledMask = Builder.CreateShuffleVector( | ||||||||
| 2490 | BlockInMaskPart, | ||||||||
| 2491 | createReplicatedMask(InterleaveFactor, VF.getKnownMinValue()), | ||||||||
| 2492 | "interleaved.mask"); | ||||||||
| 2493 | NewStoreInstr = Builder.CreateMaskedStore( | ||||||||
| 2494 | IVec, AddrParts[Part], Group->getAlign(), ShuffledMask); | ||||||||
| 2495 | } | ||||||||
| 2496 | else | ||||||||
| 2497 | NewStoreInstr = | ||||||||
| 2498 | Builder.CreateAlignedStore(IVec, AddrParts[Part], Group->getAlign()); | ||||||||
| 2499 | |||||||||
| 2500 | Group->addMetadata(NewStoreInstr); | ||||||||
| 2501 | } | ||||||||
| 2502 | } | ||||||||
| 2503 | |||||||||
| 2504 | void InnerLoopVectorizer::vectorizeMemoryInstruction(Instruction *Instr, | ||||||||
| 2505 | VPTransformState &State, | ||||||||
| 2506 | VPValue *Addr, | ||||||||
| 2507 | VPValue *StoredValue, | ||||||||
| 2508 | VPValue *BlockInMask) { | ||||||||
| 2509 | // Attempt to issue a wide load. | ||||||||
| 2510 | LoadInst *LI = dyn_cast<LoadInst>(Instr); | ||||||||
| 2511 | StoreInst *SI = dyn_cast<StoreInst>(Instr); | ||||||||
| 2512 | |||||||||
| 2513 | assert((LI || SI) && "Invalid Load/Store instruction")(((LI || SI) && "Invalid Load/Store instruction") ? static_cast <void> (0) : __assert_fail ("(LI || SI) && \"Invalid Load/Store instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2513, __PRETTY_FUNCTION__)); | ||||||||
| 2514 | assert((!SI || StoredValue) && "No stored value provided for widened store")(((!SI || StoredValue) && "No stored value provided for widened store" ) ? static_cast<void> (0) : __assert_fail ("(!SI || StoredValue) && \"No stored value provided for widened store\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2514, __PRETTY_FUNCTION__)); | ||||||||
| 2515 | assert((!LI || !StoredValue) && "Stored value provided for widened load")(((!LI || !StoredValue) && "Stored value provided for widened load" ) ? static_cast<void> (0) : __assert_fail ("(!LI || !StoredValue) && \"Stored value provided for widened load\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2515, __PRETTY_FUNCTION__)); | ||||||||
| 2516 | |||||||||
| 2517 | LoopVectorizationCostModel::InstWidening Decision = | ||||||||
| 2518 | Cost->getWideningDecision(Instr, VF); | ||||||||
| 2519 | assert((Decision == LoopVectorizationCostModel::CM_Widen ||(((Decision == LoopVectorizationCostModel::CM_Widen || Decision == LoopVectorizationCostModel::CM_Widen_Reverse || Decision == LoopVectorizationCostModel::CM_GatherScatter) && "CM decision is not to widen the memory instruction" ) ? static_cast<void> (0) : __assert_fail ("(Decision == LoopVectorizationCostModel::CM_Widen || Decision == LoopVectorizationCostModel::CM_Widen_Reverse || Decision == LoopVectorizationCostModel::CM_GatherScatter) && \"CM decision is not to widen the memory instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2522, __PRETTY_FUNCTION__)) | ||||||||
| 2520 | Decision == LoopVectorizationCostModel::CM_Widen_Reverse ||(((Decision == LoopVectorizationCostModel::CM_Widen || Decision == LoopVectorizationCostModel::CM_Widen_Reverse || Decision == LoopVectorizationCostModel::CM_GatherScatter) && "CM decision is not to widen the memory instruction" ) ? static_cast<void> (0) : __assert_fail ("(Decision == LoopVectorizationCostModel::CM_Widen || Decision == LoopVectorizationCostModel::CM_Widen_Reverse || Decision == LoopVectorizationCostModel::CM_GatherScatter) && \"CM decision is not to widen the memory instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2522, __PRETTY_FUNCTION__)) | ||||||||
| 2521 | Decision == LoopVectorizationCostModel::CM_GatherScatter) &&(((Decision == LoopVectorizationCostModel::CM_Widen || Decision == LoopVectorizationCostModel::CM_Widen_Reverse || Decision == LoopVectorizationCostModel::CM_GatherScatter) && "CM decision is not to widen the memory instruction" ) ? static_cast<void> (0) : __assert_fail ("(Decision == LoopVectorizationCostModel::CM_Widen || Decision == LoopVectorizationCostModel::CM_Widen_Reverse || Decision == LoopVectorizationCostModel::CM_GatherScatter) && \"CM decision is not to widen the memory instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2522, __PRETTY_FUNCTION__)) | ||||||||
| 2522 | "CM decision is not to widen the memory instruction")(((Decision == LoopVectorizationCostModel::CM_Widen || Decision == LoopVectorizationCostModel::CM_Widen_Reverse || Decision == LoopVectorizationCostModel::CM_GatherScatter) && "CM decision is not to widen the memory instruction" ) ? static_cast<void> (0) : __assert_fail ("(Decision == LoopVectorizationCostModel::CM_Widen || Decision == LoopVectorizationCostModel::CM_Widen_Reverse || Decision == LoopVectorizationCostModel::CM_GatherScatter) && \"CM decision is not to widen the memory instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2522, __PRETTY_FUNCTION__)); | ||||||||
| 2523 | |||||||||
| 2524 | Type *ScalarDataTy = getMemInstValueType(Instr); | ||||||||
| 2525 | |||||||||
| 2526 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2526, __PRETTY_FUNCTION__)); | ||||||||
| 2527 | auto *DataTy = VectorType::get(ScalarDataTy, VF); | ||||||||
| 2528 | const Align Alignment = getLoadStoreAlignment(Instr); | ||||||||
| 2529 | |||||||||
| 2530 | // Determine if the pointer operand of the access is either consecutive or | ||||||||
| 2531 | // reverse consecutive. | ||||||||
| 2532 | bool Reverse = (Decision == LoopVectorizationCostModel::CM_Widen_Reverse); | ||||||||
| 2533 | bool ConsecutiveStride = | ||||||||
| 2534 | Reverse || (Decision == LoopVectorizationCostModel::CM_Widen); | ||||||||
| 2535 | bool CreateGatherScatter = | ||||||||
| 2536 | (Decision == LoopVectorizationCostModel::CM_GatherScatter); | ||||||||
| 2537 | |||||||||
| 2538 | // Either Ptr feeds a vector load/store, or a vector GEP should feed a vector | ||||||||
| 2539 | // gather/scatter. Otherwise Decision should have been to Scalarize. | ||||||||
| 2540 | assert((ConsecutiveStride || CreateGatherScatter) &&(((ConsecutiveStride || CreateGatherScatter) && "The instruction should be scalarized" ) ? static_cast<void> (0) : __assert_fail ("(ConsecutiveStride || CreateGatherScatter) && \"The instruction should be scalarized\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2541, __PRETTY_FUNCTION__)) | ||||||||
| 2541 | "The instruction should be scalarized")(((ConsecutiveStride || CreateGatherScatter) && "The instruction should be scalarized" ) ? static_cast<void> (0) : __assert_fail ("(ConsecutiveStride || CreateGatherScatter) && \"The instruction should be scalarized\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2541, __PRETTY_FUNCTION__)); | ||||||||
| 2542 | (void)ConsecutiveStride; | ||||||||
| 2543 | |||||||||
| 2544 | VectorParts BlockInMaskParts(UF); | ||||||||
| 2545 | bool isMaskRequired = BlockInMask; | ||||||||
| 2546 | if (isMaskRequired) | ||||||||
| 2547 | for (unsigned Part = 0; Part < UF; ++Part) | ||||||||
| 2548 | BlockInMaskParts[Part] = State.get(BlockInMask, Part); | ||||||||
| 2549 | |||||||||
| 2550 | const auto CreateVecPtr = [&](unsigned Part, Value *Ptr) -> Value * { | ||||||||
| 2551 | // Calculate the pointer for the specific unroll-part. | ||||||||
| 2552 | GetElementPtrInst *PartPtr = nullptr; | ||||||||
| 2553 | |||||||||
| 2554 | bool InBounds = false; | ||||||||
| 2555 | if (auto *gep = dyn_cast<GetElementPtrInst>(Ptr->stripPointerCasts())) | ||||||||
| 2556 | InBounds = gep->isInBounds(); | ||||||||
| 2557 | |||||||||
| 2558 | if (Reverse) { | ||||||||
| 2559 | // If the address is consecutive but reversed, then the | ||||||||
| 2560 | // wide store needs to start at the last vector element. | ||||||||
| 2561 | PartPtr = cast<GetElementPtrInst>(Builder.CreateGEP( | ||||||||
| 2562 | ScalarDataTy, Ptr, Builder.getInt32(-Part * VF.getKnownMinValue()))); | ||||||||
| 2563 | PartPtr->setIsInBounds(InBounds); | ||||||||
| 2564 | PartPtr = cast<GetElementPtrInst>(Builder.CreateGEP( | ||||||||
| 2565 | ScalarDataTy, PartPtr, Builder.getInt32(1 - VF.getKnownMinValue()))); | ||||||||
| 2566 | PartPtr->setIsInBounds(InBounds); | ||||||||
| 2567 | if (isMaskRequired) // Reverse of a null all-one mask is a null mask. | ||||||||
| 2568 | BlockInMaskParts[Part] = reverseVector(BlockInMaskParts[Part]); | ||||||||
| 2569 | } else { | ||||||||
| 2570 | PartPtr = cast<GetElementPtrInst>(Builder.CreateGEP( | ||||||||
| 2571 | ScalarDataTy, Ptr, Builder.getInt32(Part * VF.getKnownMinValue()))); | ||||||||
| 2572 | PartPtr->setIsInBounds(InBounds); | ||||||||
| 2573 | } | ||||||||
| 2574 | |||||||||
| 2575 | unsigned AddressSpace = Ptr->getType()->getPointerAddressSpace(); | ||||||||
| 2576 | return Builder.CreateBitCast(PartPtr, DataTy->getPointerTo(AddressSpace)); | ||||||||
| 2577 | }; | ||||||||
| 2578 | |||||||||
| 2579 | // Handle Stores: | ||||||||
| 2580 | if (SI) { | ||||||||
| 2581 | setDebugLocFromInst(Builder, SI); | ||||||||
| 2582 | |||||||||
| 2583 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 2584 | Instruction *NewSI = nullptr; | ||||||||
| 2585 | Value *StoredVal = State.get(StoredValue, Part); | ||||||||
| 2586 | if (CreateGatherScatter) { | ||||||||
| 2587 | Value *MaskPart = isMaskRequired ? BlockInMaskParts[Part] : nullptr; | ||||||||
| 2588 | Value *VectorGep = State.get(Addr, Part); | ||||||||
| 2589 | NewSI = Builder.CreateMaskedScatter(StoredVal, VectorGep, Alignment, | ||||||||
| 2590 | MaskPart); | ||||||||
| 2591 | } else { | ||||||||
| 2592 | if (Reverse) { | ||||||||
| 2593 | // If we store to reverse consecutive memory locations, then we need | ||||||||
| 2594 | // to reverse the order of elements in the stored value. | ||||||||
| 2595 | StoredVal = reverseVector(StoredVal); | ||||||||
| 2596 | // We don't want to update the value in the map as it might be used in | ||||||||
| 2597 | // another expression. So don't call resetVectorValue(StoredVal). | ||||||||
| 2598 | } | ||||||||
| 2599 | auto *VecPtr = CreateVecPtr(Part, State.get(Addr, {0, 0})); | ||||||||
| 2600 | if (isMaskRequired) | ||||||||
| 2601 | NewSI = Builder.CreateMaskedStore(StoredVal, VecPtr, Alignment, | ||||||||
| 2602 | BlockInMaskParts[Part]); | ||||||||
| 2603 | else | ||||||||
| 2604 | NewSI = Builder.CreateAlignedStore(StoredVal, VecPtr, Alignment); | ||||||||
| 2605 | } | ||||||||
| 2606 | addMetadata(NewSI, SI); | ||||||||
| 2607 | } | ||||||||
| 2608 | return; | ||||||||
| 2609 | } | ||||||||
| 2610 | |||||||||
| 2611 | // Handle loads. | ||||||||
| 2612 | assert(LI && "Must have a load instruction")((LI && "Must have a load instruction") ? static_cast <void> (0) : __assert_fail ("LI && \"Must have a load instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2612, __PRETTY_FUNCTION__)); | ||||||||
| 2613 | setDebugLocFromInst(Builder, LI); | ||||||||
| 2614 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 2615 | Value *NewLI; | ||||||||
| 2616 | if (CreateGatherScatter) { | ||||||||
| 2617 | Value *MaskPart = isMaskRequired ? BlockInMaskParts[Part] : nullptr; | ||||||||
| 2618 | Value *VectorGep = State.get(Addr, Part); | ||||||||
| 2619 | NewLI = Builder.CreateMaskedGather(VectorGep, Alignment, MaskPart, | ||||||||
| 2620 | nullptr, "wide.masked.gather"); | ||||||||
| 2621 | addMetadata(NewLI, LI); | ||||||||
| 2622 | } else { | ||||||||
| 2623 | auto *VecPtr = CreateVecPtr(Part, State.get(Addr, {0, 0})); | ||||||||
| 2624 | if (isMaskRequired) | ||||||||
| 2625 | NewLI = Builder.CreateMaskedLoad( | ||||||||
| 2626 | VecPtr, Alignment, BlockInMaskParts[Part], UndefValue::get(DataTy), | ||||||||
| 2627 | "wide.masked.load"); | ||||||||
| 2628 | else | ||||||||
| 2629 | NewLI = | ||||||||
| 2630 | Builder.CreateAlignedLoad(DataTy, VecPtr, Alignment, "wide.load"); | ||||||||
| 2631 | |||||||||
| 2632 | // Add metadata to the load, but setVectorValue to the reverse shuffle. | ||||||||
| 2633 | addMetadata(NewLI, LI); | ||||||||
| 2634 | if (Reverse) | ||||||||
| 2635 | NewLI = reverseVector(NewLI); | ||||||||
| 2636 | } | ||||||||
| 2637 | VectorLoopValueMap.setVectorValue(Instr, Part, NewLI); | ||||||||
| 2638 | } | ||||||||
| 2639 | } | ||||||||
| 2640 | |||||||||
| 2641 | void InnerLoopVectorizer::scalarizeInstruction(Instruction *Instr, VPUser &User, | ||||||||
| 2642 | const VPIteration &Instance, | ||||||||
| 2643 | bool IfPredicateInstr, | ||||||||
| 2644 | VPTransformState &State) { | ||||||||
| 2645 | assert(!Instr->getType()->isAggregateType() && "Can't handle vectors")((!Instr->getType()->isAggregateType() && "Can't handle vectors" ) ? static_cast<void> (0) : __assert_fail ("!Instr->getType()->isAggregateType() && \"Can't handle vectors\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2645, __PRETTY_FUNCTION__)); | ||||||||
| 2646 | |||||||||
| 2647 | setDebugLocFromInst(Builder, Instr); | ||||||||
| 2648 | |||||||||
| 2649 | // Does this instruction return a value ? | ||||||||
| 2650 | bool IsVoidRetTy = Instr->getType()->isVoidTy(); | ||||||||
| 2651 | |||||||||
| 2652 | Instruction *Cloned = Instr->clone(); | ||||||||
| 2653 | if (!IsVoidRetTy) | ||||||||
| 2654 | Cloned->setName(Instr->getName() + ".cloned"); | ||||||||
| 2655 | |||||||||
| 2656 | // Replace the operands of the cloned instructions with their scalar | ||||||||
| 2657 | // equivalents in the new loop. | ||||||||
| 2658 | for (unsigned op = 0, e = User.getNumOperands(); op != e; ++op) { | ||||||||
| 2659 | auto *NewOp = State.get(User.getOperand(op), Instance); | ||||||||
| 2660 | Cloned->setOperand(op, NewOp); | ||||||||
| 2661 | } | ||||||||
| 2662 | addNewMetadata(Cloned, Instr); | ||||||||
| 2663 | |||||||||
| 2664 | // Place the cloned scalar in the new loop. | ||||||||
| 2665 | Builder.Insert(Cloned); | ||||||||
| 2666 | |||||||||
| 2667 | // Add the cloned scalar to the scalar map entry. | ||||||||
| 2668 | VectorLoopValueMap.setScalarValue(Instr, Instance, Cloned); | ||||||||
| 2669 | |||||||||
| 2670 | // If we just cloned a new assumption, add it the assumption cache. | ||||||||
| 2671 | if (auto *II = dyn_cast<IntrinsicInst>(Cloned)) | ||||||||
| 2672 | if (II->getIntrinsicID() == Intrinsic::assume) | ||||||||
| 2673 | AC->registerAssumption(II); | ||||||||
| 2674 | |||||||||
| 2675 | // End if-block. | ||||||||
| 2676 | if (IfPredicateInstr) | ||||||||
| 2677 | PredicatedInstructions.push_back(Cloned); | ||||||||
| 2678 | } | ||||||||
| 2679 | |||||||||
| 2680 | PHINode *InnerLoopVectorizer::createInductionVariable(Loop *L, Value *Start, | ||||||||
| 2681 | Value *End, Value *Step, | ||||||||
| 2682 | Instruction *DL) { | ||||||||
| 2683 | BasicBlock *Header = L->getHeader(); | ||||||||
| 2684 | BasicBlock *Latch = L->getLoopLatch(); | ||||||||
| 2685 | // As we're just creating this loop, it's possible no latch exists | ||||||||
| 2686 | // yet. If so, use the header as this will be a single block loop. | ||||||||
| 2687 | if (!Latch) | ||||||||
| 2688 | Latch = Header; | ||||||||
| 2689 | |||||||||
| 2690 | IRBuilder<> Builder(&*Header->getFirstInsertionPt()); | ||||||||
| 2691 | Instruction *OldInst = getDebugLocFromInstOrOperands(OldInduction); | ||||||||
| 2692 | setDebugLocFromInst(Builder, OldInst); | ||||||||
| 2693 | auto *Induction = Builder.CreatePHI(Start->getType(), 2, "index"); | ||||||||
| 2694 | |||||||||
| 2695 | Builder.SetInsertPoint(Latch->getTerminator()); | ||||||||
| 2696 | setDebugLocFromInst(Builder, OldInst); | ||||||||
| 2697 | |||||||||
| 2698 | // Create i+1 and fill the PHINode. | ||||||||
| 2699 | Value *Next = Builder.CreateAdd(Induction, Step, "index.next"); | ||||||||
| 2700 | Induction->addIncoming(Start, L->getLoopPreheader()); | ||||||||
| 2701 | Induction->addIncoming(Next, Latch); | ||||||||
| 2702 | // Create the compare. | ||||||||
| 2703 | Value *ICmp = Builder.CreateICmpEQ(Next, End); | ||||||||
| 2704 | Builder.CreateCondBr(ICmp, L->getExitBlock(), Header); | ||||||||
| 2705 | |||||||||
| 2706 | // Now we have two terminators. Remove the old one from the block. | ||||||||
| 2707 | Latch->getTerminator()->eraseFromParent(); | ||||||||
| 2708 | |||||||||
| 2709 | return Induction; | ||||||||
| 2710 | } | ||||||||
| 2711 | |||||||||
| 2712 | Value *InnerLoopVectorizer::getOrCreateTripCount(Loop *L) { | ||||||||
| 2713 | if (TripCount) | ||||||||
| 2714 | return TripCount; | ||||||||
| 2715 | |||||||||
| 2716 | assert(L && "Create Trip Count for null loop.")((L && "Create Trip Count for null loop.") ? static_cast <void> (0) : __assert_fail ("L && \"Create Trip Count for null loop.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2716, __PRETTY_FUNCTION__)); | ||||||||
| 2717 | IRBuilder<> Builder(L->getLoopPreheader()->getTerminator()); | ||||||||
| 2718 | // Find the loop boundaries. | ||||||||
| 2719 | ScalarEvolution *SE = PSE.getSE(); | ||||||||
| 2720 | const SCEV *BackedgeTakenCount = PSE.getBackedgeTakenCount(); | ||||||||
| 2721 | assert(BackedgeTakenCount != SE->getCouldNotCompute() &&((BackedgeTakenCount != SE->getCouldNotCompute() && "Invalid loop count") ? static_cast<void> (0) : __assert_fail ("BackedgeTakenCount != SE->getCouldNotCompute() && \"Invalid loop count\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2722, __PRETTY_FUNCTION__)) | ||||||||
| 2722 | "Invalid loop count")((BackedgeTakenCount != SE->getCouldNotCompute() && "Invalid loop count") ? static_cast<void> (0) : __assert_fail ("BackedgeTakenCount != SE->getCouldNotCompute() && \"Invalid loop count\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2722, __PRETTY_FUNCTION__)); | ||||||||
| 2723 | |||||||||
| 2724 | Type *IdxTy = Legal->getWidestInductionType(); | ||||||||
| 2725 | assert(IdxTy && "No type for induction")((IdxTy && "No type for induction") ? static_cast< void> (0) : __assert_fail ("IdxTy && \"No type for induction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2725, __PRETTY_FUNCTION__)); | ||||||||
| 2726 | |||||||||
| 2727 | // The exit count might have the type of i64 while the phi is i32. This can | ||||||||
| 2728 | // happen if we have an induction variable that is sign extended before the | ||||||||
| 2729 | // compare. The only way that we get a backedge taken count is that the | ||||||||
| 2730 | // induction variable was signed and as such will not overflow. In such a case | ||||||||
| 2731 | // truncation is legal. | ||||||||
| 2732 | if (SE->getTypeSizeInBits(BackedgeTakenCount->getType()) > | ||||||||
| 2733 | IdxTy->getPrimitiveSizeInBits()) | ||||||||
| 2734 | BackedgeTakenCount = SE->getTruncateOrNoop(BackedgeTakenCount, IdxTy); | ||||||||
| 2735 | BackedgeTakenCount = SE->getNoopOrZeroExtend(BackedgeTakenCount, IdxTy); | ||||||||
| 2736 | |||||||||
| 2737 | // Get the total trip count from the count by adding 1. | ||||||||
| 2738 | const SCEV *ExitCount = SE->getAddExpr( | ||||||||
| 2739 | BackedgeTakenCount, SE->getOne(BackedgeTakenCount->getType())); | ||||||||
| 2740 | |||||||||
| 2741 | const DataLayout &DL = L->getHeader()->getModule()->getDataLayout(); | ||||||||
| 2742 | |||||||||
| 2743 | // Expand the trip count and place the new instructions in the preheader. | ||||||||
| 2744 | // Notice that the pre-header does not change, only the loop body. | ||||||||
| 2745 | SCEVExpander Exp(*SE, DL, "induction"); | ||||||||
| 2746 | |||||||||
| 2747 | // Count holds the overall loop count (N). | ||||||||
| 2748 | TripCount = Exp.expandCodeFor(ExitCount, ExitCount->getType(), | ||||||||
| 2749 | L->getLoopPreheader()->getTerminator()); | ||||||||
| 2750 | |||||||||
| 2751 | if (TripCount->getType()->isPointerTy()) | ||||||||
| 2752 | TripCount = | ||||||||
| 2753 | CastInst::CreatePointerCast(TripCount, IdxTy, "exitcount.ptrcnt.to.int", | ||||||||
| 2754 | L->getLoopPreheader()->getTerminator()); | ||||||||
| 2755 | |||||||||
| 2756 | return TripCount; | ||||||||
| 2757 | } | ||||||||
| 2758 | |||||||||
| 2759 | Value *InnerLoopVectorizer::getOrCreateVectorTripCount(Loop *L) { | ||||||||
| 2760 | if (VectorTripCount) | ||||||||
| 2761 | return VectorTripCount; | ||||||||
| 2762 | |||||||||
| 2763 | Value *TC = getOrCreateTripCount(L); | ||||||||
| 2764 | IRBuilder<> Builder(L->getLoopPreheader()->getTerminator()); | ||||||||
| 2765 | |||||||||
| 2766 | Type *Ty = TC->getType(); | ||||||||
| 2767 | // This is where we can make the step a runtime constant. | ||||||||
| 2768 | assert(!VF.isScalable() && "scalable vectorization is not supported yet")((!VF.isScalable() && "scalable vectorization is not supported yet" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectorization is not supported yet\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2768, __PRETTY_FUNCTION__)); | ||||||||
| 2769 | Constant *Step = ConstantInt::get(Ty, VF.getKnownMinValue() * UF); | ||||||||
| 2770 | |||||||||
| 2771 | // If the tail is to be folded by masking, round the number of iterations N | ||||||||
| 2772 | // up to a multiple of Step instead of rounding down. This is done by first | ||||||||
| 2773 | // adding Step-1 and then rounding down. Note that it's ok if this addition | ||||||||
| 2774 | // overflows: the vector induction variable will eventually wrap to zero given | ||||||||
| 2775 | // that it starts at zero and its Step is a power of two; the loop will then | ||||||||
| 2776 | // exit, with the last early-exit vector comparison also producing all-true. | ||||||||
| 2777 | if (Cost->foldTailByMasking()) { | ||||||||
| 2778 | assert(isPowerOf2_32(VF.getKnownMinValue() * UF) &&((isPowerOf2_32(VF.getKnownMinValue() * UF) && "VF*UF must be a power of 2 when folding tail by masking" ) ? static_cast<void> (0) : __assert_fail ("isPowerOf2_32(VF.getKnownMinValue() * UF) && \"VF*UF must be a power of 2 when folding tail by masking\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2779, __PRETTY_FUNCTION__)) | ||||||||
| 2779 | "VF*UF must be a power of 2 when folding tail by masking")((isPowerOf2_32(VF.getKnownMinValue() * UF) && "VF*UF must be a power of 2 when folding tail by masking" ) ? static_cast<void> (0) : __assert_fail ("isPowerOf2_32(VF.getKnownMinValue() * UF) && \"VF*UF must be a power of 2 when folding tail by masking\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2779, __PRETTY_FUNCTION__)); | ||||||||
| 2780 | TC = Builder.CreateAdd( | ||||||||
| 2781 | TC, ConstantInt::get(Ty, VF.getKnownMinValue() * UF - 1), "n.rnd.up"); | ||||||||
| 2782 | } | ||||||||
| 2783 | |||||||||
| 2784 | // Now we need to generate the expression for the part of the loop that the | ||||||||
| 2785 | // vectorized body will execute. This is equal to N - (N % Step) if scalar | ||||||||
| 2786 | // iterations are not required for correctness, or N - Step, otherwise. Step | ||||||||
| 2787 | // is equal to the vectorization factor (number of SIMD elements) times the | ||||||||
| 2788 | // unroll factor (number of SIMD instructions). | ||||||||
| 2789 | Value *R = Builder.CreateURem(TC, Step, "n.mod.vf"); | ||||||||
| 2790 | |||||||||
| 2791 | // If there is a non-reversed interleaved group that may speculatively access | ||||||||
| 2792 | // memory out-of-bounds, we need to ensure that there will be at least one | ||||||||
| 2793 | // iteration of the scalar epilogue loop. Thus, if the step evenly divides | ||||||||
| 2794 | // the trip count, we set the remainder to be equal to the step. If the step | ||||||||
| 2795 | // does not evenly divide the trip count, no adjustment is necessary since | ||||||||
| 2796 | // there will already be scalar iterations. Note that the minimum iterations | ||||||||
| 2797 | // check ensures that N >= Step. | ||||||||
| 2798 | if (VF.isVector() && Cost->requiresScalarEpilogue()) { | ||||||||
| 2799 | auto *IsZero = Builder.CreateICmpEQ(R, ConstantInt::get(R->getType(), 0)); | ||||||||
| 2800 | R = Builder.CreateSelect(IsZero, Step, R); | ||||||||
| 2801 | } | ||||||||
| 2802 | |||||||||
| 2803 | VectorTripCount = Builder.CreateSub(TC, R, "n.vec"); | ||||||||
| 2804 | |||||||||
| 2805 | return VectorTripCount; | ||||||||
| 2806 | } | ||||||||
| 2807 | |||||||||
| 2808 | Value *InnerLoopVectorizer::createBitOrPointerCast(Value *V, VectorType *DstVTy, | ||||||||
| 2809 | const DataLayout &DL) { | ||||||||
| 2810 | // Verify that V is a vector type with same number of elements as DstVTy. | ||||||||
| 2811 | auto *DstFVTy = cast<FixedVectorType>(DstVTy); | ||||||||
| 2812 | unsigned VF = DstFVTy->getNumElements(); | ||||||||
| 2813 | auto *SrcVecTy = cast<FixedVectorType>(V->getType()); | ||||||||
| 2814 | assert((VF == SrcVecTy->getNumElements()) && "Vector dimensions do not match")(((VF == SrcVecTy->getNumElements()) && "Vector dimensions do not match" ) ? static_cast<void> (0) : __assert_fail ("(VF == SrcVecTy->getNumElements()) && \"Vector dimensions do not match\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2814, __PRETTY_FUNCTION__)); | ||||||||
| 2815 | Type *SrcElemTy = SrcVecTy->getElementType(); | ||||||||
| 2816 | Type *DstElemTy = DstFVTy->getElementType(); | ||||||||
| 2817 | assert((DL.getTypeSizeInBits(SrcElemTy) == DL.getTypeSizeInBits(DstElemTy)) &&(((DL.getTypeSizeInBits(SrcElemTy) == DL.getTypeSizeInBits(DstElemTy )) && "Vector elements must have same size") ? static_cast <void> (0) : __assert_fail ("(DL.getTypeSizeInBits(SrcElemTy) == DL.getTypeSizeInBits(DstElemTy)) && \"Vector elements must have same size\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2818, __PRETTY_FUNCTION__)) | ||||||||
| 2818 | "Vector elements must have same size")(((DL.getTypeSizeInBits(SrcElemTy) == DL.getTypeSizeInBits(DstElemTy )) && "Vector elements must have same size") ? static_cast <void> (0) : __assert_fail ("(DL.getTypeSizeInBits(SrcElemTy) == DL.getTypeSizeInBits(DstElemTy)) && \"Vector elements must have same size\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2818, __PRETTY_FUNCTION__)); | ||||||||
| 2819 | |||||||||
| 2820 | // Do a direct cast if element types are castable. | ||||||||
| 2821 | if (CastInst::isBitOrNoopPointerCastable(SrcElemTy, DstElemTy, DL)) { | ||||||||
| 2822 | return Builder.CreateBitOrPointerCast(V, DstFVTy); | ||||||||
| 2823 | } | ||||||||
| 2824 | // V cannot be directly casted to desired vector type. | ||||||||
| 2825 | // May happen when V is a floating point vector but DstVTy is a vector of | ||||||||
| 2826 | // pointers or vice-versa. Handle this using a two-step bitcast using an | ||||||||
| 2827 | // intermediate Integer type for the bitcast i.e. Ptr <-> Int <-> Float. | ||||||||
| 2828 | assert((DstElemTy->isPointerTy() != SrcElemTy->isPointerTy()) &&(((DstElemTy->isPointerTy() != SrcElemTy->isPointerTy() ) && "Only one type should be a pointer type") ? static_cast <void> (0) : __assert_fail ("(DstElemTy->isPointerTy() != SrcElemTy->isPointerTy()) && \"Only one type should be a pointer type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2829, __PRETTY_FUNCTION__)) | ||||||||
| 2829 | "Only one type should be a pointer type")(((DstElemTy->isPointerTy() != SrcElemTy->isPointerTy() ) && "Only one type should be a pointer type") ? static_cast <void> (0) : __assert_fail ("(DstElemTy->isPointerTy() != SrcElemTy->isPointerTy()) && \"Only one type should be a pointer type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2829, __PRETTY_FUNCTION__)); | ||||||||
| 2830 | assert((DstElemTy->isFloatingPointTy() != SrcElemTy->isFloatingPointTy()) &&(((DstElemTy->isFloatingPointTy() != SrcElemTy->isFloatingPointTy ()) && "Only one type should be a floating point type" ) ? static_cast<void> (0) : __assert_fail ("(DstElemTy->isFloatingPointTy() != SrcElemTy->isFloatingPointTy()) && \"Only one type should be a floating point type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2831, __PRETTY_FUNCTION__)) | ||||||||
| 2831 | "Only one type should be a floating point type")(((DstElemTy->isFloatingPointTy() != SrcElemTy->isFloatingPointTy ()) && "Only one type should be a floating point type" ) ? static_cast<void> (0) : __assert_fail ("(DstElemTy->isFloatingPointTy() != SrcElemTy->isFloatingPointTy()) && \"Only one type should be a floating point type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2831, __PRETTY_FUNCTION__)); | ||||||||
| 2832 | Type *IntTy = | ||||||||
| 2833 | IntegerType::getIntNTy(V->getContext(), DL.getTypeSizeInBits(SrcElemTy)); | ||||||||
| 2834 | auto *VecIntTy = FixedVectorType::get(IntTy, VF); | ||||||||
| 2835 | Value *CastVal = Builder.CreateBitOrPointerCast(V, VecIntTy); | ||||||||
| 2836 | return Builder.CreateBitOrPointerCast(CastVal, DstFVTy); | ||||||||
| 2837 | } | ||||||||
| 2838 | |||||||||
| 2839 | void InnerLoopVectorizer::emitMinimumIterationCountCheck(Loop *L, | ||||||||
| 2840 | BasicBlock *Bypass) { | ||||||||
| 2841 | Value *Count = getOrCreateTripCount(L); | ||||||||
| 2842 | // Reuse existing vector loop preheader for TC checks. | ||||||||
| 2843 | // Note that new preheader block is generated for vector loop. | ||||||||
| 2844 | BasicBlock *const TCCheckBlock = LoopVectorPreHeader; | ||||||||
| 2845 | IRBuilder<> Builder(TCCheckBlock->getTerminator()); | ||||||||
| 2846 | |||||||||
| 2847 | // Generate code to check if the loop's trip count is less than VF * UF, or | ||||||||
| 2848 | // equal to it in case a scalar epilogue is required; this implies that the | ||||||||
| 2849 | // vector trip count is zero. This check also covers the case where adding one | ||||||||
| 2850 | // to the backedge-taken count overflowed leading to an incorrect trip count | ||||||||
| 2851 | // of zero. In this case we will also jump to the scalar loop. | ||||||||
| 2852 | auto P = Cost->requiresScalarEpilogue() ? ICmpInst::ICMP_ULE | ||||||||
| 2853 | : ICmpInst::ICMP_ULT; | ||||||||
| 2854 | |||||||||
| 2855 | // If tail is to be folded, vector loop takes care of all iterations. | ||||||||
| 2856 | Value *CheckMinIters = Builder.getFalse(); | ||||||||
| 2857 | if (!Cost->foldTailByMasking()) { | ||||||||
| 2858 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2858, __PRETTY_FUNCTION__)); | ||||||||
| 2859 | CheckMinIters = Builder.CreateICmp( | ||||||||
| 2860 | P, Count, | ||||||||
| 2861 | ConstantInt::get(Count->getType(), VF.getKnownMinValue() * UF), | ||||||||
| 2862 | "min.iters.check"); | ||||||||
| 2863 | } | ||||||||
| 2864 | // Create new preheader for vector loop. | ||||||||
| 2865 | LoopVectorPreHeader = | ||||||||
| 2866 | SplitBlock(TCCheckBlock, TCCheckBlock->getTerminator(), DT, LI, nullptr, | ||||||||
| 2867 | "vector.ph"); | ||||||||
| 2868 | |||||||||
| 2869 | assert(DT->properlyDominates(DT->getNode(TCCheckBlock),((DT->properlyDominates(DT->getNode(TCCheckBlock), DT-> getNode(Bypass)->getIDom()) && "TC check is expected to dominate Bypass" ) ? static_cast<void> (0) : __assert_fail ("DT->properlyDominates(DT->getNode(TCCheckBlock), DT->getNode(Bypass)->getIDom()) && \"TC check is expected to dominate Bypass\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2871, __PRETTY_FUNCTION__)) | ||||||||
| 2870 | DT->getNode(Bypass)->getIDom()) &&((DT->properlyDominates(DT->getNode(TCCheckBlock), DT-> getNode(Bypass)->getIDom()) && "TC check is expected to dominate Bypass" ) ? static_cast<void> (0) : __assert_fail ("DT->properlyDominates(DT->getNode(TCCheckBlock), DT->getNode(Bypass)->getIDom()) && \"TC check is expected to dominate Bypass\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2871, __PRETTY_FUNCTION__)) | ||||||||
| 2871 | "TC check is expected to dominate Bypass")((DT->properlyDominates(DT->getNode(TCCheckBlock), DT-> getNode(Bypass)->getIDom()) && "TC check is expected to dominate Bypass" ) ? static_cast<void> (0) : __assert_fail ("DT->properlyDominates(DT->getNode(TCCheckBlock), DT->getNode(Bypass)->getIDom()) && \"TC check is expected to dominate Bypass\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2871, __PRETTY_FUNCTION__)); | ||||||||
| 2872 | |||||||||
| 2873 | // Update dominator for Bypass & LoopExit. | ||||||||
| 2874 | DT->changeImmediateDominator(Bypass, TCCheckBlock); | ||||||||
| 2875 | DT->changeImmediateDominator(LoopExitBlock, TCCheckBlock); | ||||||||
| 2876 | |||||||||
| 2877 | ReplaceInstWithInst( | ||||||||
| 2878 | TCCheckBlock->getTerminator(), | ||||||||
| 2879 | BranchInst::Create(Bypass, LoopVectorPreHeader, CheckMinIters)); | ||||||||
| 2880 | LoopBypassBlocks.push_back(TCCheckBlock); | ||||||||
| 2881 | } | ||||||||
| 2882 | |||||||||
| 2883 | void InnerLoopVectorizer::emitSCEVChecks(Loop *L, BasicBlock *Bypass) { | ||||||||
| 2884 | // Reuse existing vector loop preheader for SCEV checks. | ||||||||
| 2885 | // Note that new preheader block is generated for vector loop. | ||||||||
| 2886 | BasicBlock *const SCEVCheckBlock = LoopVectorPreHeader; | ||||||||
| 2887 | |||||||||
| 2888 | // Generate the code to check that the SCEV assumptions that we made. | ||||||||
| 2889 | // We want the new basic block to start at the first instruction in a | ||||||||
| 2890 | // sequence of instructions that form a check. | ||||||||
| 2891 | SCEVExpander Exp(*PSE.getSE(), Bypass->getModule()->getDataLayout(), | ||||||||
| 2892 | "scev.check"); | ||||||||
| 2893 | Value *SCEVCheck = Exp.expandCodeForPredicate( | ||||||||
| 2894 | &PSE.getUnionPredicate(), SCEVCheckBlock->getTerminator()); | ||||||||
| 2895 | |||||||||
| 2896 | if (auto *C = dyn_cast<ConstantInt>(SCEVCheck)) | ||||||||
| 2897 | if (C->isZero()) | ||||||||
| 2898 | return; | ||||||||
| 2899 | |||||||||
| 2900 | assert(!(SCEVCheckBlock->getParent()->hasOptSize() ||((!(SCEVCheckBlock->getParent()->hasOptSize() || (OptForSizeBasedOnProfile && Cost->Hints->getForce() != LoopVectorizeHints ::FK_Enabled)) && "Cannot SCEV check stride or overflow when optimizing for size" ) ? static_cast<void> (0) : __assert_fail ("!(SCEVCheckBlock->getParent()->hasOptSize() || (OptForSizeBasedOnProfile && Cost->Hints->getForce() != LoopVectorizeHints::FK_Enabled)) && \"Cannot SCEV check stride or overflow when optimizing for size\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2903, __PRETTY_FUNCTION__)) | ||||||||
| 2901 | (OptForSizeBasedOnProfile &&((!(SCEVCheckBlock->getParent()->hasOptSize() || (OptForSizeBasedOnProfile && Cost->Hints->getForce() != LoopVectorizeHints ::FK_Enabled)) && "Cannot SCEV check stride or overflow when optimizing for size" ) ? static_cast<void> (0) : __assert_fail ("!(SCEVCheckBlock->getParent()->hasOptSize() || (OptForSizeBasedOnProfile && Cost->Hints->getForce() != LoopVectorizeHints::FK_Enabled)) && \"Cannot SCEV check stride or overflow when optimizing for size\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2903, __PRETTY_FUNCTION__)) | ||||||||
| 2902 | Cost->Hints->getForce() != LoopVectorizeHints::FK_Enabled)) &&((!(SCEVCheckBlock->getParent()->hasOptSize() || (OptForSizeBasedOnProfile && Cost->Hints->getForce() != LoopVectorizeHints ::FK_Enabled)) && "Cannot SCEV check stride or overflow when optimizing for size" ) ? static_cast<void> (0) : __assert_fail ("!(SCEVCheckBlock->getParent()->hasOptSize() || (OptForSizeBasedOnProfile && Cost->Hints->getForce() != LoopVectorizeHints::FK_Enabled)) && \"Cannot SCEV check stride or overflow when optimizing for size\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2903, __PRETTY_FUNCTION__)) | ||||||||
| 2903 | "Cannot SCEV check stride or overflow when optimizing for size")((!(SCEVCheckBlock->getParent()->hasOptSize() || (OptForSizeBasedOnProfile && Cost->Hints->getForce() != LoopVectorizeHints ::FK_Enabled)) && "Cannot SCEV check stride or overflow when optimizing for size" ) ? static_cast<void> (0) : __assert_fail ("!(SCEVCheckBlock->getParent()->hasOptSize() || (OptForSizeBasedOnProfile && Cost->Hints->getForce() != LoopVectorizeHints::FK_Enabled)) && \"Cannot SCEV check stride or overflow when optimizing for size\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2903, __PRETTY_FUNCTION__)); | ||||||||
| 2904 | |||||||||
| 2905 | SCEVCheckBlock->setName("vector.scevcheck"); | ||||||||
| 2906 | // Create new preheader for vector loop. | ||||||||
| 2907 | LoopVectorPreHeader = | ||||||||
| 2908 | SplitBlock(SCEVCheckBlock, SCEVCheckBlock->getTerminator(), DT, LI, | ||||||||
| 2909 | nullptr, "vector.ph"); | ||||||||
| 2910 | |||||||||
| 2911 | // Update dominator only if this is first RT check. | ||||||||
| 2912 | if (LoopBypassBlocks.empty()) { | ||||||||
| 2913 | DT->changeImmediateDominator(Bypass, SCEVCheckBlock); | ||||||||
| 2914 | DT->changeImmediateDominator(LoopExitBlock, SCEVCheckBlock); | ||||||||
| 2915 | } | ||||||||
| 2916 | |||||||||
| 2917 | ReplaceInstWithInst( | ||||||||
| 2918 | SCEVCheckBlock->getTerminator(), | ||||||||
| 2919 | BranchInst::Create(Bypass, LoopVectorPreHeader, SCEVCheck)); | ||||||||
| 2920 | LoopBypassBlocks.push_back(SCEVCheckBlock); | ||||||||
| 2921 | AddedSafetyChecks = true; | ||||||||
| 2922 | } | ||||||||
| 2923 | |||||||||
| 2924 | void InnerLoopVectorizer::emitMemRuntimeChecks(Loop *L, BasicBlock *Bypass) { | ||||||||
| 2925 | // VPlan-native path does not do any analysis for runtime checks currently. | ||||||||
| 2926 | if (EnableVPlanNativePath) | ||||||||
| 2927 | return; | ||||||||
| 2928 | |||||||||
| 2929 | // Reuse existing vector loop preheader for runtime memory checks. | ||||||||
| 2930 | // Note that new preheader block is generated for vector loop. | ||||||||
| 2931 | BasicBlock *const MemCheckBlock = L->getLoopPreheader(); | ||||||||
| 2932 | |||||||||
| 2933 | // Generate the code that checks in runtime if arrays overlap. We put the | ||||||||
| 2934 | // checks into a separate block to make the more common case of few elements | ||||||||
| 2935 | // faster. | ||||||||
| 2936 | auto *LAI = Legal->getLAI(); | ||||||||
| 2937 | const auto &RtPtrChecking = *LAI->getRuntimePointerChecking(); | ||||||||
| 2938 | if (!RtPtrChecking.Need) | ||||||||
| 2939 | return; | ||||||||
| 2940 | |||||||||
| 2941 | if (MemCheckBlock->getParent()->hasOptSize() || OptForSizeBasedOnProfile) { | ||||||||
| 2942 | assert(Cost->Hints->getForce() == LoopVectorizeHints::FK_Enabled &&((Cost->Hints->getForce() == LoopVectorizeHints::FK_Enabled && "Cannot emit memory checks when optimizing for size, unless forced " "to vectorize.") ? static_cast<void> (0) : __assert_fail ("Cost->Hints->getForce() == LoopVectorizeHints::FK_Enabled && \"Cannot emit memory checks when optimizing for size, unless forced \" \"to vectorize.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2944, __PRETTY_FUNCTION__)) | ||||||||
| 2943 | "Cannot emit memory checks when optimizing for size, unless forced "((Cost->Hints->getForce() == LoopVectorizeHints::FK_Enabled && "Cannot emit memory checks when optimizing for size, unless forced " "to vectorize.") ? static_cast<void> (0) : __assert_fail ("Cost->Hints->getForce() == LoopVectorizeHints::FK_Enabled && \"Cannot emit memory checks when optimizing for size, unless forced \" \"to vectorize.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2944, __PRETTY_FUNCTION__)) | ||||||||
| 2944 | "to vectorize.")((Cost->Hints->getForce() == LoopVectorizeHints::FK_Enabled && "Cannot emit memory checks when optimizing for size, unless forced " "to vectorize.") ? static_cast<void> (0) : __assert_fail ("Cost->Hints->getForce() == LoopVectorizeHints::FK_Enabled && \"Cannot emit memory checks when optimizing for size, unless forced \" \"to vectorize.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2944, __PRETTY_FUNCTION__)); | ||||||||
| 2945 | ORE->emit([&]() { | ||||||||
| 2946 | return OptimizationRemarkAnalysis(DEBUG_TYPE"loop-vectorize", "VectorizationCodeSize", | ||||||||
| 2947 | L->getStartLoc(), L->getHeader()) | ||||||||
| 2948 | << "Code-size may be reduced by not forcing " | ||||||||
| 2949 | "vectorization, or by source-code modifications " | ||||||||
| 2950 | "eliminating the need for runtime checks " | ||||||||
| 2951 | "(e.g., adding 'restrict')."; | ||||||||
| 2952 | }); | ||||||||
| 2953 | } | ||||||||
| 2954 | |||||||||
| 2955 | MemCheckBlock->setName("vector.memcheck"); | ||||||||
| 2956 | // Create new preheader for vector loop. | ||||||||
| 2957 | LoopVectorPreHeader = | ||||||||
| 2958 | SplitBlock(MemCheckBlock, MemCheckBlock->getTerminator(), DT, LI, nullptr, | ||||||||
| 2959 | "vector.ph"); | ||||||||
| 2960 | |||||||||
| 2961 | auto *CondBranch = cast<BranchInst>( | ||||||||
| 2962 | Builder.CreateCondBr(Builder.getTrue(), Bypass, LoopVectorPreHeader)); | ||||||||
| 2963 | ReplaceInstWithInst(MemCheckBlock->getTerminator(), CondBranch); | ||||||||
| 2964 | LoopBypassBlocks.push_back(MemCheckBlock); | ||||||||
| 2965 | AddedSafetyChecks = true; | ||||||||
| 2966 | |||||||||
| 2967 | // Update dominator only if this is first RT check. | ||||||||
| 2968 | if (LoopBypassBlocks.empty()) { | ||||||||
| 2969 | DT->changeImmediateDominator(Bypass, MemCheckBlock); | ||||||||
| 2970 | DT->changeImmediateDominator(LoopExitBlock, MemCheckBlock); | ||||||||
| 2971 | } | ||||||||
| 2972 | |||||||||
| 2973 | Instruction *FirstCheckInst; | ||||||||
| 2974 | Instruction *MemRuntimeCheck; | ||||||||
| 2975 | std::tie(FirstCheckInst, MemRuntimeCheck) = | ||||||||
| 2976 | addRuntimeChecks(MemCheckBlock->getTerminator(), OrigLoop, | ||||||||
| 2977 | RtPtrChecking.getChecks(), RtPtrChecking.getSE()); | ||||||||
| 2978 | assert(MemRuntimeCheck && "no RT checks generated although RtPtrChecking "((MemRuntimeCheck && "no RT checks generated although RtPtrChecking " "claimed checks are required") ? static_cast<void> (0) : __assert_fail ("MemRuntimeCheck && \"no RT checks generated although RtPtrChecking \" \"claimed checks are required\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2979, __PRETTY_FUNCTION__)) | ||||||||
| 2979 | "claimed checks are required")((MemRuntimeCheck && "no RT checks generated although RtPtrChecking " "claimed checks are required") ? static_cast<void> (0) : __assert_fail ("MemRuntimeCheck && \"no RT checks generated although RtPtrChecking \" \"claimed checks are required\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2979, __PRETTY_FUNCTION__)); | ||||||||
| 2980 | CondBranch->setCondition(MemRuntimeCheck); | ||||||||
| 2981 | |||||||||
| 2982 | // We currently don't use LoopVersioning for the actual loop cloning but we | ||||||||
| 2983 | // still use it to add the noalias metadata. | ||||||||
| 2984 | LVer = std::make_unique<LoopVersioning>(*Legal->getLAI(), OrigLoop, LI, DT, | ||||||||
| 2985 | PSE.getSE()); | ||||||||
| 2986 | LVer->prepareNoAliasMetadata(); | ||||||||
| 2987 | } | ||||||||
| 2988 | |||||||||
| 2989 | Value *InnerLoopVectorizer::emitTransformedIndex( | ||||||||
| 2990 | IRBuilder<> &B, Value *Index, ScalarEvolution *SE, const DataLayout &DL, | ||||||||
| 2991 | const InductionDescriptor &ID) const { | ||||||||
| 2992 | |||||||||
| 2993 | SCEVExpander Exp(*SE, DL, "induction"); | ||||||||
| 2994 | auto Step = ID.getStep(); | ||||||||
| 2995 | auto StartValue = ID.getStartValue(); | ||||||||
| 2996 | assert(Index->getType() == Step->getType() &&((Index->getType() == Step->getType() && "Index type does not match StepValue type" ) ? static_cast<void> (0) : __assert_fail ("Index->getType() == Step->getType() && \"Index type does not match StepValue type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2997, __PRETTY_FUNCTION__)) | ||||||||
| 2997 | "Index type does not match StepValue type")((Index->getType() == Step->getType() && "Index type does not match StepValue type" ) ? static_cast<void> (0) : __assert_fail ("Index->getType() == Step->getType() && \"Index type does not match StepValue type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 2997, __PRETTY_FUNCTION__)); | ||||||||
| 2998 | |||||||||
| 2999 | // Note: the IR at this point is broken. We cannot use SE to create any new | ||||||||
| 3000 | // SCEV and then expand it, hoping that SCEV's simplification will give us | ||||||||
| 3001 | // a more optimal code. Unfortunately, attempt of doing so on invalid IR may | ||||||||
| 3002 | // lead to various SCEV crashes. So all we can do is to use builder and rely | ||||||||
| 3003 | // on InstCombine for future simplifications. Here we handle some trivial | ||||||||
| 3004 | // cases only. | ||||||||
| 3005 | auto CreateAdd = [&B](Value *X, Value *Y) { | ||||||||
| 3006 | assert(X->getType() == Y->getType() && "Types don't match!")((X->getType() == Y->getType() && "Types don't match!" ) ? static_cast<void> (0) : __assert_fail ("X->getType() == Y->getType() && \"Types don't match!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3006, __PRETTY_FUNCTION__)); | ||||||||
| 3007 | if (auto *CX = dyn_cast<ConstantInt>(X)) | ||||||||
| 3008 | if (CX->isZero()) | ||||||||
| 3009 | return Y; | ||||||||
| 3010 | if (auto *CY = dyn_cast<ConstantInt>(Y)) | ||||||||
| 3011 | if (CY->isZero()) | ||||||||
| 3012 | return X; | ||||||||
| 3013 | return B.CreateAdd(X, Y); | ||||||||
| 3014 | }; | ||||||||
| 3015 | |||||||||
| 3016 | auto CreateMul = [&B](Value *X, Value *Y) { | ||||||||
| 3017 | assert(X->getType() == Y->getType() && "Types don't match!")((X->getType() == Y->getType() && "Types don't match!" ) ? static_cast<void> (0) : __assert_fail ("X->getType() == Y->getType() && \"Types don't match!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3017, __PRETTY_FUNCTION__)); | ||||||||
| 3018 | if (auto *CX = dyn_cast<ConstantInt>(X)) | ||||||||
| 3019 | if (CX->isOne()) | ||||||||
| 3020 | return Y; | ||||||||
| 3021 | if (auto *CY = dyn_cast<ConstantInt>(Y)) | ||||||||
| 3022 | if (CY->isOne()) | ||||||||
| 3023 | return X; | ||||||||
| 3024 | return B.CreateMul(X, Y); | ||||||||
| 3025 | }; | ||||||||
| 3026 | |||||||||
| 3027 | // Get a suitable insert point for SCEV expansion. For blocks in the vector | ||||||||
| 3028 | // loop, choose the end of the vector loop header (=LoopVectorBody), because | ||||||||
| 3029 | // the DomTree is not kept up-to-date for additional blocks generated in the | ||||||||
| 3030 | // vector loop. By using the header as insertion point, we guarantee that the | ||||||||
| 3031 | // expanded instructions dominate all their uses. | ||||||||
| 3032 | auto GetInsertPoint = [this, &B]() { | ||||||||
| 3033 | BasicBlock *InsertBB = B.GetInsertPoint()->getParent(); | ||||||||
| 3034 | if (InsertBB != LoopVectorBody && | ||||||||
| 3035 | LI->getLoopFor(LoopVectorBody) == LI->getLoopFor(InsertBB)) | ||||||||
| 3036 | return LoopVectorBody->getTerminator(); | ||||||||
| 3037 | return &*B.GetInsertPoint(); | ||||||||
| 3038 | }; | ||||||||
| 3039 | switch (ID.getKind()) { | ||||||||
| 3040 | case InductionDescriptor::IK_IntInduction: { | ||||||||
| 3041 | assert(Index->getType() == StartValue->getType() &&((Index->getType() == StartValue->getType() && "Index type does not match StartValue type" ) ? static_cast<void> (0) : __assert_fail ("Index->getType() == StartValue->getType() && \"Index type does not match StartValue type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3042, __PRETTY_FUNCTION__)) | ||||||||
| 3042 | "Index type does not match StartValue type")((Index->getType() == StartValue->getType() && "Index type does not match StartValue type" ) ? static_cast<void> (0) : __assert_fail ("Index->getType() == StartValue->getType() && \"Index type does not match StartValue type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3042, __PRETTY_FUNCTION__)); | ||||||||
| 3043 | if (ID.getConstIntStepValue() && ID.getConstIntStepValue()->isMinusOne()) | ||||||||
| 3044 | return B.CreateSub(StartValue, Index); | ||||||||
| 3045 | auto *Offset = CreateMul( | ||||||||
| 3046 | Index, Exp.expandCodeFor(Step, Index->getType(), GetInsertPoint())); | ||||||||
| 3047 | return CreateAdd(StartValue, Offset); | ||||||||
| 3048 | } | ||||||||
| 3049 | case InductionDescriptor::IK_PtrInduction: { | ||||||||
| 3050 | assert(isa<SCEVConstant>(Step) &&((isa<SCEVConstant>(Step) && "Expected constant step for pointer induction" ) ? static_cast<void> (0) : __assert_fail ("isa<SCEVConstant>(Step) && \"Expected constant step for pointer induction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3051, __PRETTY_FUNCTION__)) | ||||||||
| 3051 | "Expected constant step for pointer induction")((isa<SCEVConstant>(Step) && "Expected constant step for pointer induction" ) ? static_cast<void> (0) : __assert_fail ("isa<SCEVConstant>(Step) && \"Expected constant step for pointer induction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3051, __PRETTY_FUNCTION__)); | ||||||||
| 3052 | return B.CreateGEP( | ||||||||
| 3053 | StartValue->getType()->getPointerElementType(), StartValue, | ||||||||
| 3054 | CreateMul(Index, | ||||||||
| 3055 | Exp.expandCodeFor(Step, Index->getType(), GetInsertPoint()))); | ||||||||
| 3056 | } | ||||||||
| 3057 | case InductionDescriptor::IK_FpInduction: { | ||||||||
| 3058 | assert(Step->getType()->isFloatingPointTy() && "Expected FP Step value")((Step->getType()->isFloatingPointTy() && "Expected FP Step value" ) ? static_cast<void> (0) : __assert_fail ("Step->getType()->isFloatingPointTy() && \"Expected FP Step value\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3058, __PRETTY_FUNCTION__)); | ||||||||
| 3059 | auto InductionBinOp = ID.getInductionBinOp(); | ||||||||
| 3060 | assert(InductionBinOp &&((InductionBinOp && (InductionBinOp->getOpcode() == Instruction::FAdd || InductionBinOp->getOpcode() == Instruction ::FSub) && "Original bin op should be defined for FP induction" ) ? static_cast<void> (0) : __assert_fail ("InductionBinOp && (InductionBinOp->getOpcode() == Instruction::FAdd || InductionBinOp->getOpcode() == Instruction::FSub) && \"Original bin op should be defined for FP induction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3063, __PRETTY_FUNCTION__)) | ||||||||
| 3061 | (InductionBinOp->getOpcode() == Instruction::FAdd ||((InductionBinOp && (InductionBinOp->getOpcode() == Instruction::FAdd || InductionBinOp->getOpcode() == Instruction ::FSub) && "Original bin op should be defined for FP induction" ) ? static_cast<void> (0) : __assert_fail ("InductionBinOp && (InductionBinOp->getOpcode() == Instruction::FAdd || InductionBinOp->getOpcode() == Instruction::FSub) && \"Original bin op should be defined for FP induction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3063, __PRETTY_FUNCTION__)) | ||||||||
| 3062 | InductionBinOp->getOpcode() == Instruction::FSub) &&((InductionBinOp && (InductionBinOp->getOpcode() == Instruction::FAdd || InductionBinOp->getOpcode() == Instruction ::FSub) && "Original bin op should be defined for FP induction" ) ? static_cast<void> (0) : __assert_fail ("InductionBinOp && (InductionBinOp->getOpcode() == Instruction::FAdd || InductionBinOp->getOpcode() == Instruction::FSub) && \"Original bin op should be defined for FP induction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3063, __PRETTY_FUNCTION__)) | ||||||||
| 3063 | "Original bin op should be defined for FP induction")((InductionBinOp && (InductionBinOp->getOpcode() == Instruction::FAdd || InductionBinOp->getOpcode() == Instruction ::FSub) && "Original bin op should be defined for FP induction" ) ? static_cast<void> (0) : __assert_fail ("InductionBinOp && (InductionBinOp->getOpcode() == Instruction::FAdd || InductionBinOp->getOpcode() == Instruction::FSub) && \"Original bin op should be defined for FP induction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3063, __PRETTY_FUNCTION__)); | ||||||||
| 3064 | |||||||||
| 3065 | Value *StepValue = cast<SCEVUnknown>(Step)->getValue(); | ||||||||
| 3066 | |||||||||
| 3067 | // Floating point operations had to be 'fast' to enable the induction. | ||||||||
| 3068 | FastMathFlags Flags; | ||||||||
| 3069 | Flags.setFast(); | ||||||||
| 3070 | |||||||||
| 3071 | Value *MulExp = B.CreateFMul(StepValue, Index); | ||||||||
| 3072 | if (isa<Instruction>(MulExp)) | ||||||||
| 3073 | // We have to check, the MulExp may be a constant. | ||||||||
| 3074 | cast<Instruction>(MulExp)->setFastMathFlags(Flags); | ||||||||
| 3075 | |||||||||
| 3076 | Value *BOp = B.CreateBinOp(InductionBinOp->getOpcode(), StartValue, MulExp, | ||||||||
| 3077 | "induction"); | ||||||||
| 3078 | if (isa<Instruction>(BOp)) | ||||||||
| 3079 | cast<Instruction>(BOp)->setFastMathFlags(Flags); | ||||||||
| 3080 | |||||||||
| 3081 | return BOp; | ||||||||
| 3082 | } | ||||||||
| 3083 | case InductionDescriptor::IK_NoInduction: | ||||||||
| 3084 | return nullptr; | ||||||||
| 3085 | } | ||||||||
| 3086 | llvm_unreachable("invalid enum")::llvm::llvm_unreachable_internal("invalid enum", "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3086); | ||||||||
| 3087 | } | ||||||||
| 3088 | |||||||||
| 3089 | Loop *InnerLoopVectorizer::createVectorLoopSkeleton(StringRef Prefix) { | ||||||||
| 3090 | LoopScalarBody = OrigLoop->getHeader(); | ||||||||
| 3091 | LoopVectorPreHeader = OrigLoop->getLoopPreheader(); | ||||||||
| 3092 | LoopExitBlock = OrigLoop->getExitBlock(); | ||||||||
| 3093 | assert(LoopExitBlock && "Must have an exit block")((LoopExitBlock && "Must have an exit block") ? static_cast <void> (0) : __assert_fail ("LoopExitBlock && \"Must have an exit block\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3093, __PRETTY_FUNCTION__)); | ||||||||
| 3094 | assert(LoopVectorPreHeader && "Invalid loop structure")((LoopVectorPreHeader && "Invalid loop structure") ? static_cast <void> (0) : __assert_fail ("LoopVectorPreHeader && \"Invalid loop structure\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3094, __PRETTY_FUNCTION__)); | ||||||||
| 3095 | |||||||||
| 3096 | LoopMiddleBlock = | ||||||||
| 3097 | SplitBlock(LoopVectorPreHeader, LoopVectorPreHeader->getTerminator(), DT, | ||||||||
| 3098 | LI, nullptr, Twine(Prefix) + "middle.block"); | ||||||||
| 3099 | LoopScalarPreHeader = | ||||||||
| 3100 | SplitBlock(LoopMiddleBlock, LoopMiddleBlock->getTerminator(), DT, LI, | ||||||||
| 3101 | nullptr, Twine(Prefix) + "scalar.ph"); | ||||||||
| 3102 | // We intentionally don't let SplitBlock to update LoopInfo since | ||||||||
| 3103 | // LoopVectorBody should belong to another loop than LoopVectorPreHeader. | ||||||||
| 3104 | // LoopVectorBody is explicitly added to the correct place few lines later. | ||||||||
| 3105 | LoopVectorBody = | ||||||||
| 3106 | SplitBlock(LoopVectorPreHeader, LoopVectorPreHeader->getTerminator(), DT, | ||||||||
| 3107 | nullptr, nullptr, Twine(Prefix) + "vector.body"); | ||||||||
| 3108 | |||||||||
| 3109 | // Update dominator for loop exit. | ||||||||
| 3110 | DT->changeImmediateDominator(LoopExitBlock, LoopMiddleBlock); | ||||||||
| 3111 | |||||||||
| 3112 | // Create and register the new vector loop. | ||||||||
| 3113 | Loop *Lp = LI->AllocateLoop(); | ||||||||
| 3114 | Loop *ParentLoop = OrigLoop->getParentLoop(); | ||||||||
| 3115 | |||||||||
| 3116 | // Insert the new loop into the loop nest and register the new basic blocks | ||||||||
| 3117 | // before calling any utilities such as SCEV that require valid LoopInfo. | ||||||||
| 3118 | if (ParentLoop) { | ||||||||
| 3119 | ParentLoop->addChildLoop(Lp); | ||||||||
| 3120 | } else { | ||||||||
| 3121 | LI->addTopLevelLoop(Lp); | ||||||||
| 3122 | } | ||||||||
| 3123 | Lp->addBasicBlockToLoop(LoopVectorBody, *LI); | ||||||||
| 3124 | return Lp; | ||||||||
| 3125 | } | ||||||||
| 3126 | |||||||||
| 3127 | void InnerLoopVectorizer::createInductionResumeValues(Loop *L, | ||||||||
| 3128 | Value *VectorTripCount) { | ||||||||
| 3129 | assert(VectorTripCount && L && "Expected valid arguments")((VectorTripCount && L && "Expected valid arguments" ) ? static_cast<void> (0) : __assert_fail ("VectorTripCount && L && \"Expected valid arguments\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3129, __PRETTY_FUNCTION__)); | ||||||||
| 3130 | // We are going to resume the execution of the scalar loop. | ||||||||
| 3131 | // Go over all of the induction variables that we found and fix the | ||||||||
| 3132 | // PHIs that are left in the scalar version of the loop. | ||||||||
| 3133 | // The starting values of PHI nodes depend on the counter of the last | ||||||||
| 3134 | // iteration in the vectorized loop. | ||||||||
| 3135 | // If we come from a bypass edge then we need to start from the original | ||||||||
| 3136 | // start value. | ||||||||
| 3137 | for (auto &InductionEntry : Legal->getInductionVars()) { | ||||||||
| 3138 | PHINode *OrigPhi = InductionEntry.first; | ||||||||
| 3139 | InductionDescriptor II = InductionEntry.second; | ||||||||
| 3140 | |||||||||
| 3141 | // Create phi nodes to merge from the backedge-taken check block. | ||||||||
| 3142 | PHINode *BCResumeVal = | ||||||||
| 3143 | PHINode::Create(OrigPhi->getType(), 3, "bc.resume.val", | ||||||||
| 3144 | LoopScalarPreHeader->getTerminator()); | ||||||||
| 3145 | // Copy original phi DL over to the new one. | ||||||||
| 3146 | BCResumeVal->setDebugLoc(OrigPhi->getDebugLoc()); | ||||||||
| 3147 | Value *&EndValue = IVEndValues[OrigPhi]; | ||||||||
| 3148 | if (OrigPhi == OldInduction) { | ||||||||
| 3149 | // We know what the end value is. | ||||||||
| 3150 | EndValue = VectorTripCount; | ||||||||
| 3151 | } else { | ||||||||
| 3152 | IRBuilder<> B(L->getLoopPreheader()->getTerminator()); | ||||||||
| 3153 | Type *StepType = II.getStep()->getType(); | ||||||||
| 3154 | Instruction::CastOps CastOp = | ||||||||
| 3155 | CastInst::getCastOpcode(VectorTripCount, true, StepType, true); | ||||||||
| 3156 | Value *CRD = B.CreateCast(CastOp, VectorTripCount, StepType, "cast.crd"); | ||||||||
| 3157 | const DataLayout &DL = LoopScalarBody->getModule()->getDataLayout(); | ||||||||
| 3158 | EndValue = emitTransformedIndex(B, CRD, PSE.getSE(), DL, II); | ||||||||
| 3159 | EndValue->setName("ind.end"); | ||||||||
| 3160 | } | ||||||||
| 3161 | |||||||||
| 3162 | // The new PHI merges the original incoming value, in case of a bypass, | ||||||||
| 3163 | // or the value at the end of the vectorized loop. | ||||||||
| 3164 | BCResumeVal->addIncoming(EndValue, LoopMiddleBlock); | ||||||||
| 3165 | |||||||||
| 3166 | // Fix the scalar body counter (PHI node). | ||||||||
| 3167 | // The old induction's phi node in the scalar body needs the truncated | ||||||||
| 3168 | // value. | ||||||||
| 3169 | for (BasicBlock *BB : LoopBypassBlocks) | ||||||||
| 3170 | BCResumeVal->addIncoming(II.getStartValue(), BB); | ||||||||
| 3171 | OrigPhi->setIncomingValueForBlock(LoopScalarPreHeader, BCResumeVal); | ||||||||
| 3172 | } | ||||||||
| 3173 | } | ||||||||
| 3174 | |||||||||
| 3175 | BasicBlock *InnerLoopVectorizer::completeLoopSkeleton(Loop *L, | ||||||||
| 3176 | MDNode *OrigLoopID) { | ||||||||
| 3177 | assert(L && "Expected valid loop.")((L && "Expected valid loop.") ? static_cast<void> (0) : __assert_fail ("L && \"Expected valid loop.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3177, __PRETTY_FUNCTION__)); | ||||||||
| 3178 | |||||||||
| 3179 | // The trip counts should be cached by now. | ||||||||
| 3180 | Value *Count = getOrCreateTripCount(L); | ||||||||
| 3181 | Value *VectorTripCount = getOrCreateVectorTripCount(L); | ||||||||
| 3182 | |||||||||
| 3183 | // We need the OrigLoop (scalar loop part) latch terminator to help | ||||||||
| 3184 | // produce correct debug info for the middle block BB instructions. | ||||||||
| 3185 | // The legality check stage guarantees that the loop will have a single | ||||||||
| 3186 | // latch. | ||||||||
| 3187 | assert(isa<BranchInst>(OrigLoop->getLoopLatch()->getTerminator()) &&((isa<BranchInst>(OrigLoop->getLoopLatch()->getTerminator ()) && "Scalar loop latch terminator isn't a branch") ? static_cast<void> (0) : __assert_fail ("isa<BranchInst>(OrigLoop->getLoopLatch()->getTerminator()) && \"Scalar loop latch terminator isn't a branch\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3188, __PRETTY_FUNCTION__)) | ||||||||
| 3188 | "Scalar loop latch terminator isn't a branch")((isa<BranchInst>(OrigLoop->getLoopLatch()->getTerminator ()) && "Scalar loop latch terminator isn't a branch") ? static_cast<void> (0) : __assert_fail ("isa<BranchInst>(OrigLoop->getLoopLatch()->getTerminator()) && \"Scalar loop latch terminator isn't a branch\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3188, __PRETTY_FUNCTION__)); | ||||||||
| 3189 | BranchInst *ScalarLatchBr = | ||||||||
| 3190 | cast<BranchInst>(OrigLoop->getLoopLatch()->getTerminator()); | ||||||||
| 3191 | |||||||||
| 3192 | // Add a check in the middle block to see if we have completed | ||||||||
| 3193 | // all of the iterations in the first vector loop. | ||||||||
| 3194 | // If (N - N%VF) == N, then we *don't* need to run the remainder. | ||||||||
| 3195 | // If tail is to be folded, we know we don't need to run the remainder. | ||||||||
| 3196 | Value *CmpN = Builder.getTrue(); | ||||||||
| 3197 | if (!Cost->foldTailByMasking()) { | ||||||||
| 3198 | CmpN = CmpInst::Create(Instruction::ICmp, CmpInst::ICMP_EQ, Count, | ||||||||
| 3199 | VectorTripCount, "cmp.n", | ||||||||
| 3200 | LoopMiddleBlock->getTerminator()); | ||||||||
| 3201 | |||||||||
| 3202 | // Here we use the same DebugLoc as the scalar loop latch branch instead | ||||||||
| 3203 | // of the corresponding compare because they may have ended up with | ||||||||
| 3204 | // different line numbers and we want to avoid awkward line stepping while | ||||||||
| 3205 | // debugging. Eg. if the compare has got a line number inside the loop. | ||||||||
| 3206 | cast<Instruction>(CmpN)->setDebugLoc(ScalarLatchBr->getDebugLoc()); | ||||||||
| 3207 | } | ||||||||
| 3208 | |||||||||
| 3209 | BranchInst *BrInst = | ||||||||
| 3210 | BranchInst::Create(LoopExitBlock, LoopScalarPreHeader, CmpN); | ||||||||
| 3211 | BrInst->setDebugLoc(ScalarLatchBr->getDebugLoc()); | ||||||||
| 3212 | ReplaceInstWithInst(LoopMiddleBlock->getTerminator(), BrInst); | ||||||||
| 3213 | |||||||||
| 3214 | // Get ready to start creating new instructions into the vectorized body. | ||||||||
| 3215 | assert(LoopVectorPreHeader == L->getLoopPreheader() &&((LoopVectorPreHeader == L->getLoopPreheader() && "Inconsistent vector loop preheader" ) ? static_cast<void> (0) : __assert_fail ("LoopVectorPreHeader == L->getLoopPreheader() && \"Inconsistent vector loop preheader\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3216, __PRETTY_FUNCTION__)) | ||||||||
| 3216 | "Inconsistent vector loop preheader")((LoopVectorPreHeader == L->getLoopPreheader() && "Inconsistent vector loop preheader" ) ? static_cast<void> (0) : __assert_fail ("LoopVectorPreHeader == L->getLoopPreheader() && \"Inconsistent vector loop preheader\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3216, __PRETTY_FUNCTION__)); | ||||||||
| 3217 | Builder.SetInsertPoint(&*LoopVectorBody->getFirstInsertionPt()); | ||||||||
| 3218 | |||||||||
| 3219 | Optional<MDNode *> VectorizedLoopID = | ||||||||
| 3220 | makeFollowupLoopID(OrigLoopID, {LLVMLoopVectorizeFollowupAll, | ||||||||
| 3221 | LLVMLoopVectorizeFollowupVectorized}); | ||||||||
| 3222 | if (VectorizedLoopID.hasValue()) { | ||||||||
| 3223 | L->setLoopID(VectorizedLoopID.getValue()); | ||||||||
| 3224 | |||||||||
| 3225 | // Do not setAlreadyVectorized if loop attributes have been defined | ||||||||
| 3226 | // explicitly. | ||||||||
| 3227 | return LoopVectorPreHeader; | ||||||||
| 3228 | } | ||||||||
| 3229 | |||||||||
| 3230 | // Keep all loop hints from the original loop on the vector loop (we'll | ||||||||
| 3231 | // replace the vectorizer-specific hints below). | ||||||||
| 3232 | if (MDNode *LID = OrigLoop->getLoopID()) | ||||||||
| 3233 | L->setLoopID(LID); | ||||||||
| 3234 | |||||||||
| 3235 | LoopVectorizeHints Hints(L, true, *ORE); | ||||||||
| 3236 | Hints.setAlreadyVectorized(); | ||||||||
| 3237 | |||||||||
| 3238 | #ifdef EXPENSIVE_CHECKS | ||||||||
| 3239 | assert(DT->verify(DominatorTree::VerificationLevel::Fast))((DT->verify(DominatorTree::VerificationLevel::Fast)) ? static_cast <void> (0) : __assert_fail ("DT->verify(DominatorTree::VerificationLevel::Fast)" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3239, __PRETTY_FUNCTION__)); | ||||||||
| 3240 | LI->verify(*DT); | ||||||||
| 3241 | #endif | ||||||||
| 3242 | |||||||||
| 3243 | return LoopVectorPreHeader; | ||||||||
| 3244 | } | ||||||||
| 3245 | |||||||||
| 3246 | BasicBlock *InnerLoopVectorizer::createVectorizedLoopSkeleton() { | ||||||||
| 3247 | /* | ||||||||
| 3248 | In this function we generate a new loop. The new loop will contain | ||||||||
| 3249 | the vectorized instructions while the old loop will continue to run the | ||||||||
| 3250 | scalar remainder. | ||||||||
| 3251 | |||||||||
| 3252 | [ ] <-- loop iteration number check. | ||||||||
| 3253 | / | | ||||||||
| 3254 | / v | ||||||||
| 3255 | | [ ] <-- vector loop bypass (may consist of multiple blocks). | ||||||||
| 3256 | | / | | ||||||||
| 3257 | | / v | ||||||||
| 3258 | || [ ] <-- vector pre header. | ||||||||
| 3259 | |/ | | ||||||||
| 3260 | | v | ||||||||
| 3261 | | [ ] \ | ||||||||
| 3262 | | [ ]_| <-- vector loop. | ||||||||
| 3263 | | | | ||||||||
| 3264 | | v | ||||||||
| 3265 | | -[ ] <--- middle-block. | ||||||||
| 3266 | | / | | ||||||||
| 3267 | | / v | ||||||||
| 3268 | -|- >[ ] <--- new preheader. | ||||||||
| 3269 | | | | ||||||||
| 3270 | | v | ||||||||
| 3271 | | [ ] \ | ||||||||
| 3272 | | [ ]_| <-- old scalar loop to handle remainder. | ||||||||
| 3273 | \ | | ||||||||
| 3274 | \ v | ||||||||
| 3275 | >[ ] <-- exit block. | ||||||||
| 3276 | ... | ||||||||
| 3277 | */ | ||||||||
| 3278 | |||||||||
| 3279 | // Get the metadata of the original loop before it gets modified. | ||||||||
| 3280 | MDNode *OrigLoopID = OrigLoop->getLoopID(); | ||||||||
| 3281 | |||||||||
| 3282 | // Create an empty vector loop, and prepare basic blocks for the runtime | ||||||||
| 3283 | // checks. | ||||||||
| 3284 | Loop *Lp = createVectorLoopSkeleton(""); | ||||||||
| 3285 | |||||||||
| 3286 | // Now, compare the new count to zero. If it is zero skip the vector loop and | ||||||||
| 3287 | // jump to the scalar loop. This check also covers the case where the | ||||||||
| 3288 | // backedge-taken count is uint##_max: adding one to it will overflow leading | ||||||||
| 3289 | // to an incorrect trip count of zero. In this (rare) case we will also jump | ||||||||
| 3290 | // to the scalar loop. | ||||||||
| 3291 | emitMinimumIterationCountCheck(Lp, LoopScalarPreHeader); | ||||||||
| 3292 | |||||||||
| 3293 | // Generate the code to check any assumptions that we've made for SCEV | ||||||||
| 3294 | // expressions. | ||||||||
| 3295 | emitSCEVChecks(Lp, LoopScalarPreHeader); | ||||||||
| 3296 | |||||||||
| 3297 | // Generate the code that checks in runtime if arrays overlap. We put the | ||||||||
| 3298 | // checks into a separate block to make the more common case of few elements | ||||||||
| 3299 | // faster. | ||||||||
| 3300 | emitMemRuntimeChecks(Lp, LoopScalarPreHeader); | ||||||||
| 3301 | |||||||||
| 3302 | // Some loops have a single integer induction variable, while other loops | ||||||||
| 3303 | // don't. One example is c++ iterators that often have multiple pointer | ||||||||
| 3304 | // induction variables. In the code below we also support a case where we | ||||||||
| 3305 | // don't have a single induction variable. | ||||||||
| 3306 | // | ||||||||
| 3307 | // We try to obtain an induction variable from the original loop as hard | ||||||||
| 3308 | // as possible. However if we don't find one that: | ||||||||
| 3309 | // - is an integer | ||||||||
| 3310 | // - counts from zero, stepping by one | ||||||||
| 3311 | // - is the size of the widest induction variable type | ||||||||
| 3312 | // then we create a new one. | ||||||||
| 3313 | OldInduction = Legal->getPrimaryInduction(); | ||||||||
| 3314 | Type *IdxTy = Legal->getWidestInductionType(); | ||||||||
| 3315 | Value *StartIdx = ConstantInt::get(IdxTy, 0); | ||||||||
| 3316 | // The loop step is equal to the vectorization factor (num of SIMD elements) | ||||||||
| 3317 | // times the unroll factor (num of SIMD instructions). | ||||||||
| 3318 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3318, __PRETTY_FUNCTION__)); | ||||||||
| 3319 | Constant *Step = ConstantInt::get(IdxTy, VF.getKnownMinValue() * UF); | ||||||||
| 3320 | Value *CountRoundDown = getOrCreateVectorTripCount(Lp); | ||||||||
| 3321 | Induction = | ||||||||
| 3322 | createInductionVariable(Lp, StartIdx, CountRoundDown, Step, | ||||||||
| 3323 | getDebugLocFromInstOrOperands(OldInduction)); | ||||||||
| 3324 | |||||||||
| 3325 | // Emit phis for the new starting index of the scalar loop. | ||||||||
| 3326 | createInductionResumeValues(Lp, CountRoundDown); | ||||||||
| 3327 | |||||||||
| 3328 | return completeLoopSkeleton(Lp, OrigLoopID); | ||||||||
| 3329 | } | ||||||||
| 3330 | |||||||||
| 3331 | // Fix up external users of the induction variable. At this point, we are | ||||||||
| 3332 | // in LCSSA form, with all external PHIs that use the IV having one input value, | ||||||||
| 3333 | // coming from the remainder loop. We need those PHIs to also have a correct | ||||||||
| 3334 | // value for the IV when arriving directly from the middle block. | ||||||||
| 3335 | void InnerLoopVectorizer::fixupIVUsers(PHINode *OrigPhi, | ||||||||
| 3336 | const InductionDescriptor &II, | ||||||||
| 3337 | Value *CountRoundDown, Value *EndValue, | ||||||||
| 3338 | BasicBlock *MiddleBlock) { | ||||||||
| 3339 | // There are two kinds of external IV usages - those that use the value | ||||||||
| 3340 | // computed in the last iteration (the PHI) and those that use the penultimate | ||||||||
| 3341 | // value (the value that feeds into the phi from the loop latch). | ||||||||
| 3342 | // We allow both, but they, obviously, have different values. | ||||||||
| 3343 | |||||||||
| 3344 | assert(OrigLoop->getExitBlock() && "Expected a single exit block")((OrigLoop->getExitBlock() && "Expected a single exit block" ) ? static_cast<void> (0) : __assert_fail ("OrigLoop->getExitBlock() && \"Expected a single exit block\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3344, __PRETTY_FUNCTION__)); | ||||||||
| 3345 | |||||||||
| 3346 | DenseMap<Value *, Value *> MissingVals; | ||||||||
| 3347 | |||||||||
| 3348 | // An external user of the last iteration's value should see the value that | ||||||||
| 3349 | // the remainder loop uses to initialize its own IV. | ||||||||
| 3350 | Value *PostInc = OrigPhi->getIncomingValueForBlock(OrigLoop->getLoopLatch()); | ||||||||
| 3351 | for (User *U : PostInc->users()) { | ||||||||
| 3352 | Instruction *UI = cast<Instruction>(U); | ||||||||
| 3353 | if (!OrigLoop->contains(UI)) { | ||||||||
| 3354 | assert(isa<PHINode>(UI) && "Expected LCSSA form")((isa<PHINode>(UI) && "Expected LCSSA form") ? static_cast <void> (0) : __assert_fail ("isa<PHINode>(UI) && \"Expected LCSSA form\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3354, __PRETTY_FUNCTION__)); | ||||||||
| 3355 | MissingVals[UI] = EndValue; | ||||||||
| 3356 | } | ||||||||
| 3357 | } | ||||||||
| 3358 | |||||||||
| 3359 | // An external user of the penultimate value need to see EndValue - Step. | ||||||||
| 3360 | // The simplest way to get this is to recompute it from the constituent SCEVs, | ||||||||
| 3361 | // that is Start + (Step * (CRD - 1)). | ||||||||
| 3362 | for (User *U : OrigPhi->users()) { | ||||||||
| 3363 | auto *UI = cast<Instruction>(U); | ||||||||
| 3364 | if (!OrigLoop->contains(UI)) { | ||||||||
| 3365 | const DataLayout &DL = | ||||||||
| 3366 | OrigLoop->getHeader()->getModule()->getDataLayout(); | ||||||||
| 3367 | assert(isa<PHINode>(UI) && "Expected LCSSA form")((isa<PHINode>(UI) && "Expected LCSSA form") ? static_cast <void> (0) : __assert_fail ("isa<PHINode>(UI) && \"Expected LCSSA form\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3367, __PRETTY_FUNCTION__)); | ||||||||
| 3368 | |||||||||
| 3369 | IRBuilder<> B(MiddleBlock->getTerminator()); | ||||||||
| 3370 | Value *CountMinusOne = B.CreateSub( | ||||||||
| 3371 | CountRoundDown, ConstantInt::get(CountRoundDown->getType(), 1)); | ||||||||
| 3372 | Value *CMO = | ||||||||
| 3373 | !II.getStep()->getType()->isIntegerTy() | ||||||||
| 3374 | ? B.CreateCast(Instruction::SIToFP, CountMinusOne, | ||||||||
| 3375 | II.getStep()->getType()) | ||||||||
| 3376 | : B.CreateSExtOrTrunc(CountMinusOne, II.getStep()->getType()); | ||||||||
| 3377 | CMO->setName("cast.cmo"); | ||||||||
| 3378 | Value *Escape = emitTransformedIndex(B, CMO, PSE.getSE(), DL, II); | ||||||||
| 3379 | Escape->setName("ind.escape"); | ||||||||
| 3380 | MissingVals[UI] = Escape; | ||||||||
| 3381 | } | ||||||||
| 3382 | } | ||||||||
| 3383 | |||||||||
| 3384 | for (auto &I : MissingVals) { | ||||||||
| 3385 | PHINode *PHI = cast<PHINode>(I.first); | ||||||||
| 3386 | // One corner case we have to handle is two IVs "chasing" each-other, | ||||||||
| 3387 | // that is %IV2 = phi [...], [ %IV1, %latch ] | ||||||||
| 3388 | // In this case, if IV1 has an external use, we need to avoid adding both | ||||||||
| 3389 | // "last value of IV1" and "penultimate value of IV2". So, verify that we | ||||||||
| 3390 | // don't already have an incoming value for the middle block. | ||||||||
| 3391 | if (PHI->getBasicBlockIndex(MiddleBlock) == -1) | ||||||||
| 3392 | PHI->addIncoming(I.second, MiddleBlock); | ||||||||
| 3393 | } | ||||||||
| 3394 | } | ||||||||
| 3395 | |||||||||
| 3396 | namespace { | ||||||||
| 3397 | |||||||||
| 3398 | struct CSEDenseMapInfo { | ||||||||
| 3399 | static bool canHandle(const Instruction *I) { | ||||||||
| 3400 | return isa<InsertElementInst>(I) || isa<ExtractElementInst>(I) || | ||||||||
| 3401 | isa<ShuffleVectorInst>(I) || isa<GetElementPtrInst>(I); | ||||||||
| 3402 | } | ||||||||
| 3403 | |||||||||
| 3404 | static inline Instruction *getEmptyKey() { | ||||||||
| 3405 | return DenseMapInfo<Instruction *>::getEmptyKey(); | ||||||||
| 3406 | } | ||||||||
| 3407 | |||||||||
| 3408 | static inline Instruction *getTombstoneKey() { | ||||||||
| 3409 | return DenseMapInfo<Instruction *>::getTombstoneKey(); | ||||||||
| 3410 | } | ||||||||
| 3411 | |||||||||
| 3412 | static unsigned getHashValue(const Instruction *I) { | ||||||||
| 3413 | assert(canHandle(I) && "Unknown instruction!")((canHandle(I) && "Unknown instruction!") ? static_cast <void> (0) : __assert_fail ("canHandle(I) && \"Unknown instruction!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3413, __PRETTY_FUNCTION__)); | ||||||||
| 3414 | return hash_combine(I->getOpcode(), hash_combine_range(I->value_op_begin(), | ||||||||
| 3415 | I->value_op_end())); | ||||||||
| 3416 | } | ||||||||
| 3417 | |||||||||
| 3418 | static bool isEqual(const Instruction *LHS, const Instruction *RHS) { | ||||||||
| 3419 | if (LHS == getEmptyKey() || RHS == getEmptyKey() || | ||||||||
| 3420 | LHS == getTombstoneKey() || RHS == getTombstoneKey()) | ||||||||
| 3421 | return LHS == RHS; | ||||||||
| 3422 | return LHS->isIdenticalTo(RHS); | ||||||||
| 3423 | } | ||||||||
| 3424 | }; | ||||||||
| 3425 | |||||||||
| 3426 | } // end anonymous namespace | ||||||||
| 3427 | |||||||||
| 3428 | ///Perform cse of induction variable instructions. | ||||||||
| 3429 | static void cse(BasicBlock *BB) { | ||||||||
| 3430 | // Perform simple cse. | ||||||||
| 3431 | SmallDenseMap<Instruction *, Instruction *, 4, CSEDenseMapInfo> CSEMap; | ||||||||
| 3432 | for (BasicBlock::iterator I = BB->begin(), E = BB->end(); I != E;) { | ||||||||
| 3433 | Instruction *In = &*I++; | ||||||||
| 3434 | |||||||||
| 3435 | if (!CSEDenseMapInfo::canHandle(In)) | ||||||||
| 3436 | continue; | ||||||||
| 3437 | |||||||||
| 3438 | // Check if we can replace this instruction with any of the | ||||||||
| 3439 | // visited instructions. | ||||||||
| 3440 | if (Instruction *V = CSEMap.lookup(In)) { | ||||||||
| 3441 | In->replaceAllUsesWith(V); | ||||||||
| 3442 | In->eraseFromParent(); | ||||||||
| 3443 | continue; | ||||||||
| 3444 | } | ||||||||
| 3445 | |||||||||
| 3446 | CSEMap[In] = In; | ||||||||
| 3447 | } | ||||||||
| 3448 | } | ||||||||
| 3449 | |||||||||
| 3450 | unsigned LoopVectorizationCostModel::getVectorCallCost(CallInst *CI, | ||||||||
| 3451 | ElementCount VF, | ||||||||
| 3452 | bool &NeedToScalarize) { | ||||||||
| 3453 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3453, __PRETTY_FUNCTION__)); | ||||||||
| 3454 | Function *F = CI->getCalledFunction(); | ||||||||
| 3455 | Type *ScalarRetTy = CI->getType(); | ||||||||
| 3456 | SmallVector<Type *, 4> Tys, ScalarTys; | ||||||||
| 3457 | for (auto &ArgOp : CI->arg_operands()) | ||||||||
| 3458 | ScalarTys.push_back(ArgOp->getType()); | ||||||||
| 3459 | |||||||||
| 3460 | // Estimate cost of scalarized vector call. The source operands are assumed | ||||||||
| 3461 | // to be vectors, so we need to extract individual elements from there, | ||||||||
| 3462 | // execute VF scalar calls, and then gather the result into the vector return | ||||||||
| 3463 | // value. | ||||||||
| 3464 | unsigned ScalarCallCost = TTI.getCallInstrCost(F, ScalarRetTy, ScalarTys, | ||||||||
| 3465 | TTI::TCK_RecipThroughput); | ||||||||
| 3466 | if (VF.isScalar()) | ||||||||
| 3467 | return ScalarCallCost; | ||||||||
| 3468 | |||||||||
| 3469 | // Compute corresponding vector type for return value and arguments. | ||||||||
| 3470 | Type *RetTy = ToVectorTy(ScalarRetTy, VF); | ||||||||
| 3471 | for (Type *ScalarTy : ScalarTys) | ||||||||
| 3472 | Tys.push_back(ToVectorTy(ScalarTy, VF)); | ||||||||
| 3473 | |||||||||
| 3474 | // Compute costs of unpacking argument values for the scalar calls and | ||||||||
| 3475 | // packing the return values to a vector. | ||||||||
| 3476 | unsigned ScalarizationCost = getScalarizationOverhead(CI, VF); | ||||||||
| 3477 | |||||||||
| 3478 | unsigned Cost = ScalarCallCost * VF.getKnownMinValue() + ScalarizationCost; | ||||||||
| 3479 | |||||||||
| 3480 | // If we can't emit a vector call for this function, then the currently found | ||||||||
| 3481 | // cost is the cost we need to return. | ||||||||
| 3482 | NeedToScalarize = true; | ||||||||
| 3483 | VFShape Shape = VFShape::get(*CI, VF, false /*HasGlobalPred*/); | ||||||||
| 3484 | Function *VecFunc = VFDatabase(*CI).getVectorizedFunction(Shape); | ||||||||
| 3485 | |||||||||
| 3486 | if (!TLI || CI->isNoBuiltin() || !VecFunc) | ||||||||
| 3487 | return Cost; | ||||||||
| 3488 | |||||||||
| 3489 | // If the corresponding vector cost is cheaper, return its cost. | ||||||||
| 3490 | unsigned VectorCallCost = TTI.getCallInstrCost(nullptr, RetTy, Tys, | ||||||||
| 3491 | TTI::TCK_RecipThroughput); | ||||||||
| 3492 | if (VectorCallCost < Cost) { | ||||||||
| 3493 | NeedToScalarize = false; | ||||||||
| 3494 | return VectorCallCost; | ||||||||
| 3495 | } | ||||||||
| 3496 | return Cost; | ||||||||
| 3497 | } | ||||||||
| 3498 | |||||||||
| 3499 | unsigned LoopVectorizationCostModel::getVectorIntrinsicCost(CallInst *CI, | ||||||||
| 3500 | ElementCount VF) { | ||||||||
| 3501 | Intrinsic::ID ID = getVectorIntrinsicIDForCall(CI, TLI); | ||||||||
| 3502 | assert(ID && "Expected intrinsic call!")((ID && "Expected intrinsic call!") ? static_cast< void> (0) : __assert_fail ("ID && \"Expected intrinsic call!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3502, __PRETTY_FUNCTION__)); | ||||||||
| 3503 | |||||||||
| 3504 | IntrinsicCostAttributes CostAttrs(ID, *CI, VF); | ||||||||
| 3505 | return TTI.getIntrinsicInstrCost(CostAttrs, | ||||||||
| 3506 | TargetTransformInfo::TCK_RecipThroughput); | ||||||||
| 3507 | } | ||||||||
| 3508 | |||||||||
| 3509 | static Type *smallestIntegerVectorType(Type *T1, Type *T2) { | ||||||||
| 3510 | auto *I1 = cast<IntegerType>(cast<VectorType>(T1)->getElementType()); | ||||||||
| 3511 | auto *I2 = cast<IntegerType>(cast<VectorType>(T2)->getElementType()); | ||||||||
| 3512 | return I1->getBitWidth() < I2->getBitWidth() ? T1 : T2; | ||||||||
| 3513 | } | ||||||||
| 3514 | |||||||||
| 3515 | static Type *largestIntegerVectorType(Type *T1, Type *T2) { | ||||||||
| 3516 | auto *I1 = cast<IntegerType>(cast<VectorType>(T1)->getElementType()); | ||||||||
| 3517 | auto *I2 = cast<IntegerType>(cast<VectorType>(T2)->getElementType()); | ||||||||
| 3518 | return I1->getBitWidth() > I2->getBitWidth() ? T1 : T2; | ||||||||
| 3519 | } | ||||||||
| 3520 | |||||||||
| 3521 | void InnerLoopVectorizer::truncateToMinimalBitwidths() { | ||||||||
| 3522 | // For every instruction `I` in MinBWs, truncate the operands, create a | ||||||||
| 3523 | // truncated version of `I` and reextend its result. InstCombine runs | ||||||||
| 3524 | // later and will remove any ext/trunc pairs. | ||||||||
| 3525 | SmallPtrSet<Value *, 4> Erased; | ||||||||
| 3526 | for (const auto &KV : Cost->getMinimalBitwidths()) { | ||||||||
| 3527 | // If the value wasn't vectorized, we must maintain the original scalar | ||||||||
| 3528 | // type. The absence of the value from VectorLoopValueMap indicates that it | ||||||||
| 3529 | // wasn't vectorized. | ||||||||
| 3530 | if (!VectorLoopValueMap.hasAnyVectorValue(KV.first)) | ||||||||
| 3531 | continue; | ||||||||
| 3532 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 3533 | Value *I = getOrCreateVectorValue(KV.first, Part); | ||||||||
| 3534 | if (Erased.count(I) || I->use_empty() || !isa<Instruction>(I)) | ||||||||
| 3535 | continue; | ||||||||
| 3536 | Type *OriginalTy = I->getType(); | ||||||||
| 3537 | Type *ScalarTruncatedTy = | ||||||||
| 3538 | IntegerType::get(OriginalTy->getContext(), KV.second); | ||||||||
| 3539 | auto *TruncatedTy = FixedVectorType::get( | ||||||||
| 3540 | ScalarTruncatedTy, | ||||||||
| 3541 | cast<FixedVectorType>(OriginalTy)->getNumElements()); | ||||||||
| 3542 | if (TruncatedTy == OriginalTy) | ||||||||
| 3543 | continue; | ||||||||
| 3544 | |||||||||
| 3545 | IRBuilder<> B(cast<Instruction>(I)); | ||||||||
| 3546 | auto ShrinkOperand = [&](Value *V) -> Value * { | ||||||||
| 3547 | if (auto *ZI = dyn_cast<ZExtInst>(V)) | ||||||||
| 3548 | if (ZI->getSrcTy() == TruncatedTy) | ||||||||
| 3549 | return ZI->getOperand(0); | ||||||||
| 3550 | return B.CreateZExtOrTrunc(V, TruncatedTy); | ||||||||
| 3551 | }; | ||||||||
| 3552 | |||||||||
| 3553 | // The actual instruction modification depends on the instruction type, | ||||||||
| 3554 | // unfortunately. | ||||||||
| 3555 | Value *NewI = nullptr; | ||||||||
| 3556 | if (auto *BO = dyn_cast<BinaryOperator>(I)) { | ||||||||
| 3557 | NewI = B.CreateBinOp(BO->getOpcode(), ShrinkOperand(BO->getOperand(0)), | ||||||||
| 3558 | ShrinkOperand(BO->getOperand(1))); | ||||||||
| 3559 | |||||||||
| 3560 | // Any wrapping introduced by shrinking this operation shouldn't be | ||||||||
| 3561 | // considered undefined behavior. So, we can't unconditionally copy | ||||||||
| 3562 | // arithmetic wrapping flags to NewI. | ||||||||
| 3563 | cast<BinaryOperator>(NewI)->copyIRFlags(I, /*IncludeWrapFlags=*/false); | ||||||||
| 3564 | } else if (auto *CI = dyn_cast<ICmpInst>(I)) { | ||||||||
| 3565 | NewI = | ||||||||
| 3566 | B.CreateICmp(CI->getPredicate(), ShrinkOperand(CI->getOperand(0)), | ||||||||
| 3567 | ShrinkOperand(CI->getOperand(1))); | ||||||||
| 3568 | } else if (auto *SI = dyn_cast<SelectInst>(I)) { | ||||||||
| 3569 | NewI = B.CreateSelect(SI->getCondition(), | ||||||||
| 3570 | ShrinkOperand(SI->getTrueValue()), | ||||||||
| 3571 | ShrinkOperand(SI->getFalseValue())); | ||||||||
| 3572 | } else if (auto *CI = dyn_cast<CastInst>(I)) { | ||||||||
| 3573 | switch (CI->getOpcode()) { | ||||||||
| 3574 | default: | ||||||||
| 3575 | llvm_unreachable("Unhandled cast!")::llvm::llvm_unreachable_internal("Unhandled cast!", "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3575); | ||||||||
| 3576 | case Instruction::Trunc: | ||||||||
| 3577 | NewI = ShrinkOperand(CI->getOperand(0)); | ||||||||
| 3578 | break; | ||||||||
| 3579 | case Instruction::SExt: | ||||||||
| 3580 | NewI = B.CreateSExtOrTrunc( | ||||||||
| 3581 | CI->getOperand(0), | ||||||||
| 3582 | smallestIntegerVectorType(OriginalTy, TruncatedTy)); | ||||||||
| 3583 | break; | ||||||||
| 3584 | case Instruction::ZExt: | ||||||||
| 3585 | NewI = B.CreateZExtOrTrunc( | ||||||||
| 3586 | CI->getOperand(0), | ||||||||
| 3587 | smallestIntegerVectorType(OriginalTy, TruncatedTy)); | ||||||||
| 3588 | break; | ||||||||
| 3589 | } | ||||||||
| 3590 | } else if (auto *SI = dyn_cast<ShuffleVectorInst>(I)) { | ||||||||
| 3591 | auto Elements0 = cast<FixedVectorType>(SI->getOperand(0)->getType()) | ||||||||
| 3592 | ->getNumElements(); | ||||||||
| 3593 | auto *O0 = B.CreateZExtOrTrunc( | ||||||||
| 3594 | SI->getOperand(0), | ||||||||
| 3595 | FixedVectorType::get(ScalarTruncatedTy, Elements0)); | ||||||||
| 3596 | auto Elements1 = cast<FixedVectorType>(SI->getOperand(1)->getType()) | ||||||||
| 3597 | ->getNumElements(); | ||||||||
| 3598 | auto *O1 = B.CreateZExtOrTrunc( | ||||||||
| 3599 | SI->getOperand(1), | ||||||||
| 3600 | FixedVectorType::get(ScalarTruncatedTy, Elements1)); | ||||||||
| 3601 | |||||||||
| 3602 | NewI = B.CreateShuffleVector(O0, O1, SI->getShuffleMask()); | ||||||||
| 3603 | } else if (isa<LoadInst>(I) || isa<PHINode>(I)) { | ||||||||
| 3604 | // Don't do anything with the operands, just extend the result. | ||||||||
| 3605 | continue; | ||||||||
| 3606 | } else if (auto *IE = dyn_cast<InsertElementInst>(I)) { | ||||||||
| 3607 | auto Elements = cast<FixedVectorType>(IE->getOperand(0)->getType()) | ||||||||
| 3608 | ->getNumElements(); | ||||||||
| 3609 | auto *O0 = B.CreateZExtOrTrunc( | ||||||||
| 3610 | IE->getOperand(0), | ||||||||
| 3611 | FixedVectorType::get(ScalarTruncatedTy, Elements)); | ||||||||
| 3612 | auto *O1 = B.CreateZExtOrTrunc(IE->getOperand(1), ScalarTruncatedTy); | ||||||||
| 3613 | NewI = B.CreateInsertElement(O0, O1, IE->getOperand(2)); | ||||||||
| 3614 | } else if (auto *EE = dyn_cast<ExtractElementInst>(I)) { | ||||||||
| 3615 | auto Elements = cast<FixedVectorType>(EE->getOperand(0)->getType()) | ||||||||
| 3616 | ->getNumElements(); | ||||||||
| 3617 | auto *O0 = B.CreateZExtOrTrunc( | ||||||||
| 3618 | EE->getOperand(0), | ||||||||
| 3619 | FixedVectorType::get(ScalarTruncatedTy, Elements)); | ||||||||
| 3620 | NewI = B.CreateExtractElement(O0, EE->getOperand(2)); | ||||||||
| 3621 | } else { | ||||||||
| 3622 | // If we don't know what to do, be conservative and don't do anything. | ||||||||
| 3623 | continue; | ||||||||
| 3624 | } | ||||||||
| 3625 | |||||||||
| 3626 | // Lastly, extend the result. | ||||||||
| 3627 | NewI->takeName(cast<Instruction>(I)); | ||||||||
| 3628 | Value *Res = B.CreateZExtOrTrunc(NewI, OriginalTy); | ||||||||
| 3629 | I->replaceAllUsesWith(Res); | ||||||||
| 3630 | cast<Instruction>(I)->eraseFromParent(); | ||||||||
| 3631 | Erased.insert(I); | ||||||||
| 3632 | VectorLoopValueMap.resetVectorValue(KV.first, Part, Res); | ||||||||
| 3633 | } | ||||||||
| 3634 | } | ||||||||
| 3635 | |||||||||
| 3636 | // We'll have created a bunch of ZExts that are now parentless. Clean up. | ||||||||
| 3637 | for (const auto &KV : Cost->getMinimalBitwidths()) { | ||||||||
| 3638 | // If the value wasn't vectorized, we must maintain the original scalar | ||||||||
| 3639 | // type. The absence of the value from VectorLoopValueMap indicates that it | ||||||||
| 3640 | // wasn't vectorized. | ||||||||
| 3641 | if (!VectorLoopValueMap.hasAnyVectorValue(KV.first)) | ||||||||
| 3642 | continue; | ||||||||
| 3643 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 3644 | Value *I = getOrCreateVectorValue(KV.first, Part); | ||||||||
| 3645 | ZExtInst *Inst = dyn_cast<ZExtInst>(I); | ||||||||
| 3646 | if (Inst && Inst->use_empty()) { | ||||||||
| 3647 | Value *NewI = Inst->getOperand(0); | ||||||||
| 3648 | Inst->eraseFromParent(); | ||||||||
| 3649 | VectorLoopValueMap.resetVectorValue(KV.first, Part, NewI); | ||||||||
| 3650 | } | ||||||||
| 3651 | } | ||||||||
| 3652 | } | ||||||||
| 3653 | } | ||||||||
| 3654 | |||||||||
| 3655 | void InnerLoopVectorizer::fixVectorizedLoop() { | ||||||||
| 3656 | // Insert truncates and extends for any truncated instructions as hints to | ||||||||
| 3657 | // InstCombine. | ||||||||
| 3658 | if (VF.isVector()) | ||||||||
| 3659 | truncateToMinimalBitwidths(); | ||||||||
| 3660 | |||||||||
| 3661 | // Fix widened non-induction PHIs by setting up the PHI operands. | ||||||||
| 3662 | if (OrigPHIsToFix.size()) { | ||||||||
| 3663 | assert(EnableVPlanNativePath &&((EnableVPlanNativePath && "Unexpected non-induction PHIs for fixup in non VPlan-native path" ) ? static_cast<void> (0) : __assert_fail ("EnableVPlanNativePath && \"Unexpected non-induction PHIs for fixup in non VPlan-native path\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3664, __PRETTY_FUNCTION__)) | ||||||||
| 3664 | "Unexpected non-induction PHIs for fixup in non VPlan-native path")((EnableVPlanNativePath && "Unexpected non-induction PHIs for fixup in non VPlan-native path" ) ? static_cast<void> (0) : __assert_fail ("EnableVPlanNativePath && \"Unexpected non-induction PHIs for fixup in non VPlan-native path\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3664, __PRETTY_FUNCTION__)); | ||||||||
| 3665 | fixNonInductionPHIs(); | ||||||||
| 3666 | } | ||||||||
| 3667 | |||||||||
| 3668 | // At this point every instruction in the original loop is widened to a | ||||||||
| 3669 | // vector form. Now we need to fix the recurrences in the loop. These PHI | ||||||||
| 3670 | // nodes are currently empty because we did not want to introduce cycles. | ||||||||
| 3671 | // This is the second stage of vectorizing recurrences. | ||||||||
| 3672 | fixCrossIterationPHIs(); | ||||||||
| 3673 | |||||||||
| 3674 | // Forget the original basic block. | ||||||||
| 3675 | PSE.getSE()->forgetLoop(OrigLoop); | ||||||||
| 3676 | |||||||||
| 3677 | // Fix-up external users of the induction variables. | ||||||||
| 3678 | for (auto &Entry : Legal->getInductionVars()) | ||||||||
| 3679 | fixupIVUsers(Entry.first, Entry.second, | ||||||||
| 3680 | getOrCreateVectorTripCount(LI->getLoopFor(LoopVectorBody)), | ||||||||
| 3681 | IVEndValues[Entry.first], LoopMiddleBlock); | ||||||||
| 3682 | |||||||||
| 3683 | fixLCSSAPHIs(); | ||||||||
| 3684 | for (Instruction *PI : PredicatedInstructions) | ||||||||
| 3685 | sinkScalarOperands(&*PI); | ||||||||
| 3686 | |||||||||
| 3687 | // Remove redundant induction instructions. | ||||||||
| 3688 | cse(LoopVectorBody); | ||||||||
| 3689 | |||||||||
| 3690 | // Set/update profile weights for the vector and remainder loops as original | ||||||||
| 3691 | // loop iterations are now distributed among them. Note that original loop | ||||||||
| 3692 | // represented by LoopScalarBody becomes remainder loop after vectorization. | ||||||||
| 3693 | // | ||||||||
| 3694 | // For cases like foldTailByMasking() and requiresScalarEpiloque() we may | ||||||||
| 3695 | // end up getting slightly roughened result but that should be OK since | ||||||||
| 3696 | // profile is not inherently precise anyway. Note also possible bypass of | ||||||||
| 3697 | // vector code caused by legality checks is ignored, assigning all the weight | ||||||||
| 3698 | // to the vector loop, optimistically. | ||||||||
| 3699 | assert(!VF.isScalable() &&((!VF.isScalable() && "cannot use scalable ElementCount to determine unroll factor" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"cannot use scalable ElementCount to determine unroll factor\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3700, __PRETTY_FUNCTION__)) | ||||||||
| 3700 | "cannot use scalable ElementCount to determine unroll factor")((!VF.isScalable() && "cannot use scalable ElementCount to determine unroll factor" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"cannot use scalable ElementCount to determine unroll factor\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3700, __PRETTY_FUNCTION__)); | ||||||||
| 3701 | setProfileInfoAfterUnrolling( | ||||||||
| 3702 | LI->getLoopFor(LoopScalarBody), LI->getLoopFor(LoopVectorBody), | ||||||||
| 3703 | LI->getLoopFor(LoopScalarBody), VF.getKnownMinValue() * UF); | ||||||||
| 3704 | } | ||||||||
| 3705 | |||||||||
| 3706 | void InnerLoopVectorizer::fixCrossIterationPHIs() { | ||||||||
| 3707 | // In order to support recurrences we need to be able to vectorize Phi nodes. | ||||||||
| 3708 | // Phi nodes have cycles, so we need to vectorize them in two stages. This is | ||||||||
| 3709 | // stage #2: We now need to fix the recurrences by adding incoming edges to | ||||||||
| 3710 | // the currently empty PHI nodes. At this point every instruction in the | ||||||||
| 3711 | // original loop is widened to a vector form so we can use them to construct | ||||||||
| 3712 | // the incoming edges. | ||||||||
| 3713 | for (PHINode &Phi : OrigLoop->getHeader()->phis()) { | ||||||||
| 3714 | // Handle first-order recurrences and reductions that need to be fixed. | ||||||||
| 3715 | if (Legal->isFirstOrderRecurrence(&Phi)) | ||||||||
| 3716 | fixFirstOrderRecurrence(&Phi); | ||||||||
| 3717 | else if (Legal->isReductionVariable(&Phi)) | ||||||||
| 3718 | fixReduction(&Phi); | ||||||||
| 3719 | } | ||||||||
| 3720 | } | ||||||||
| 3721 | |||||||||
| 3722 | void InnerLoopVectorizer::fixFirstOrderRecurrence(PHINode *Phi) { | ||||||||
| 3723 | // This is the second phase of vectorizing first-order recurrences. An | ||||||||
| 3724 | // overview of the transformation is described below. Suppose we have the | ||||||||
| 3725 | // following loop. | ||||||||
| 3726 | // | ||||||||
| 3727 | // for (int i = 0; i < n; ++i) | ||||||||
| 3728 | // b[i] = a[i] - a[i - 1]; | ||||||||
| 3729 | // | ||||||||
| 3730 | // There is a first-order recurrence on "a". For this loop, the shorthand | ||||||||
| 3731 | // scalar IR looks like: | ||||||||
| 3732 | // | ||||||||
| 3733 | // scalar.ph: | ||||||||
| 3734 | // s_init = a[-1] | ||||||||
| 3735 | // br scalar.body | ||||||||
| 3736 | // | ||||||||
| 3737 | // scalar.body: | ||||||||
| 3738 | // i = phi [0, scalar.ph], [i+1, scalar.body] | ||||||||
| 3739 | // s1 = phi [s_init, scalar.ph], [s2, scalar.body] | ||||||||
| 3740 | // s2 = a[i] | ||||||||
| 3741 | // b[i] = s2 - s1 | ||||||||
| 3742 | // br cond, scalar.body, ... | ||||||||
| 3743 | // | ||||||||
| 3744 | // In this example, s1 is a recurrence because it's value depends on the | ||||||||
| 3745 | // previous iteration. In the first phase of vectorization, we created a | ||||||||
| 3746 | // temporary value for s1. We now complete the vectorization and produce the | ||||||||
| 3747 | // shorthand vector IR shown below (for VF = 4, UF = 1). | ||||||||
| 3748 | // | ||||||||
| 3749 | // vector.ph: | ||||||||
| 3750 | // v_init = vector(..., ..., ..., a[-1]) | ||||||||
| 3751 | // br vector.body | ||||||||
| 3752 | // | ||||||||
| 3753 | // vector.body | ||||||||
| 3754 | // i = phi [0, vector.ph], [i+4, vector.body] | ||||||||
| 3755 | // v1 = phi [v_init, vector.ph], [v2, vector.body] | ||||||||
| 3756 | // v2 = a[i, i+1, i+2, i+3]; | ||||||||
| 3757 | // v3 = vector(v1(3), v2(0, 1, 2)) | ||||||||
| 3758 | // b[i, i+1, i+2, i+3] = v2 - v3 | ||||||||
| 3759 | // br cond, vector.body, middle.block | ||||||||
| 3760 | // | ||||||||
| 3761 | // middle.block: | ||||||||
| 3762 | // x = v2(3) | ||||||||
| 3763 | // br scalar.ph | ||||||||
| 3764 | // | ||||||||
| 3765 | // scalar.ph: | ||||||||
| 3766 | // s_init = phi [x, middle.block], [a[-1], otherwise] | ||||||||
| 3767 | // br scalar.body | ||||||||
| 3768 | // | ||||||||
| 3769 | // After execution completes the vector loop, we extract the next value of | ||||||||
| 3770 | // the recurrence (x) to use as the initial value in the scalar loop. | ||||||||
| 3771 | |||||||||
| 3772 | // Get the original loop preheader and single loop latch. | ||||||||
| 3773 | auto *Preheader = OrigLoop->getLoopPreheader(); | ||||||||
| 3774 | auto *Latch = OrigLoop->getLoopLatch(); | ||||||||
| 3775 | |||||||||
| 3776 | // Get the initial and previous values of the scalar recurrence. | ||||||||
| 3777 | auto *ScalarInit = Phi->getIncomingValueForBlock(Preheader); | ||||||||
| 3778 | auto *Previous = Phi->getIncomingValueForBlock(Latch); | ||||||||
| 3779 | |||||||||
| 3780 | // Create a vector from the initial value. | ||||||||
| 3781 | auto *VectorInit = ScalarInit; | ||||||||
| 3782 | if (VF.isVector()) { | ||||||||
| 3783 | Builder.SetInsertPoint(LoopVectorPreHeader->getTerminator()); | ||||||||
| 3784 | assert(!VF.isScalable() && "VF is assumed to be non scalable.")((!VF.isScalable() && "VF is assumed to be non scalable." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"VF is assumed to be non scalable.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3784, __PRETTY_FUNCTION__)); | ||||||||
| 3785 | VectorInit = Builder.CreateInsertElement( | ||||||||
| 3786 | UndefValue::get(VectorType::get(VectorInit->getType(), VF)), VectorInit, | ||||||||
| 3787 | Builder.getInt32(VF.getKnownMinValue() - 1), "vector.recur.init"); | ||||||||
| 3788 | } | ||||||||
| 3789 | |||||||||
| 3790 | // We constructed a temporary phi node in the first phase of vectorization. | ||||||||
| 3791 | // This phi node will eventually be deleted. | ||||||||
| 3792 | Builder.SetInsertPoint( | ||||||||
| 3793 | cast<Instruction>(VectorLoopValueMap.getVectorValue(Phi, 0))); | ||||||||
| 3794 | |||||||||
| 3795 | // Create a phi node for the new recurrence. The current value will either be | ||||||||
| 3796 | // the initial value inserted into a vector or loop-varying vector value. | ||||||||
| 3797 | auto *VecPhi = Builder.CreatePHI(VectorInit->getType(), 2, "vector.recur"); | ||||||||
| 3798 | VecPhi->addIncoming(VectorInit, LoopVectorPreHeader); | ||||||||
| 3799 | |||||||||
| 3800 | // Get the vectorized previous value of the last part UF - 1. It appears last | ||||||||
| 3801 | // among all unrolled iterations, due to the order of their construction. | ||||||||
| 3802 | Value *PreviousLastPart = getOrCreateVectorValue(Previous, UF - 1); | ||||||||
| 3803 | |||||||||
| 3804 | // Find and set the insertion point after the previous value if it is an | ||||||||
| 3805 | // instruction. | ||||||||
| 3806 | BasicBlock::iterator InsertPt; | ||||||||
| 3807 | // Note that the previous value may have been constant-folded so it is not | ||||||||
| 3808 | // guaranteed to be an instruction in the vector loop. | ||||||||
| 3809 | // FIXME: Loop invariant values do not form recurrences. We should deal with | ||||||||
| 3810 | // them earlier. | ||||||||
| 3811 | if (LI->getLoopFor(LoopVectorBody)->isLoopInvariant(PreviousLastPart)) | ||||||||
| 3812 | InsertPt = LoopVectorBody->getFirstInsertionPt(); | ||||||||
| 3813 | else { | ||||||||
| 3814 | Instruction *PreviousInst = cast<Instruction>(PreviousLastPart); | ||||||||
| 3815 | if (isa<PHINode>(PreviousLastPart)) | ||||||||
| 3816 | // If the previous value is a phi node, we should insert after all the phi | ||||||||
| 3817 | // nodes in the block containing the PHI to avoid breaking basic block | ||||||||
| 3818 | // verification. Note that the basic block may be different to | ||||||||
| 3819 | // LoopVectorBody, in case we predicate the loop. | ||||||||
| 3820 | InsertPt = PreviousInst->getParent()->getFirstInsertionPt(); | ||||||||
| 3821 | else | ||||||||
| 3822 | InsertPt = ++PreviousInst->getIterator(); | ||||||||
| 3823 | } | ||||||||
| 3824 | Builder.SetInsertPoint(&*InsertPt); | ||||||||
| 3825 | |||||||||
| 3826 | // We will construct a vector for the recurrence by combining the values for | ||||||||
| 3827 | // the current and previous iterations. This is the required shuffle mask. | ||||||||
| 3828 | assert(!VF.isScalable())((!VF.isScalable()) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable()", "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3828, __PRETTY_FUNCTION__)); | ||||||||
| 3829 | SmallVector<int, 8> ShuffleMask(VF.getKnownMinValue()); | ||||||||
| 3830 | ShuffleMask[0] = VF.getKnownMinValue() - 1; | ||||||||
| 3831 | for (unsigned I = 1; I < VF.getKnownMinValue(); ++I) | ||||||||
| 3832 | ShuffleMask[I] = I + VF.getKnownMinValue() - 1; | ||||||||
| 3833 | |||||||||
| 3834 | // The vector from which to take the initial value for the current iteration | ||||||||
| 3835 | // (actual or unrolled). Initially, this is the vector phi node. | ||||||||
| 3836 | Value *Incoming = VecPhi; | ||||||||
| 3837 | |||||||||
| 3838 | // Shuffle the current and previous vector and update the vector parts. | ||||||||
| 3839 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 3840 | Value *PreviousPart = getOrCreateVectorValue(Previous, Part); | ||||||||
| 3841 | Value *PhiPart = VectorLoopValueMap.getVectorValue(Phi, Part); | ||||||||
| 3842 | auto *Shuffle = | ||||||||
| 3843 | VF.isVector() | ||||||||
| 3844 | ? Builder.CreateShuffleVector(Incoming, PreviousPart, ShuffleMask) | ||||||||
| 3845 | : Incoming; | ||||||||
| 3846 | PhiPart->replaceAllUsesWith(Shuffle); | ||||||||
| 3847 | cast<Instruction>(PhiPart)->eraseFromParent(); | ||||||||
| 3848 | VectorLoopValueMap.resetVectorValue(Phi, Part, Shuffle); | ||||||||
| 3849 | Incoming = PreviousPart; | ||||||||
| 3850 | } | ||||||||
| 3851 | |||||||||
| 3852 | // Fix the latch value of the new recurrence in the vector loop. | ||||||||
| 3853 | VecPhi->addIncoming(Incoming, LI->getLoopFor(LoopVectorBody)->getLoopLatch()); | ||||||||
| 3854 | |||||||||
| 3855 | // Extract the last vector element in the middle block. This will be the | ||||||||
| 3856 | // initial value for the recurrence when jumping to the scalar loop. | ||||||||
| 3857 | auto *ExtractForScalar = Incoming; | ||||||||
| 3858 | if (VF.isVector()) { | ||||||||
| 3859 | Builder.SetInsertPoint(LoopMiddleBlock->getTerminator()); | ||||||||
| 3860 | ExtractForScalar = Builder.CreateExtractElement( | ||||||||
| 3861 | ExtractForScalar, Builder.getInt32(VF.getKnownMinValue() - 1), | ||||||||
| 3862 | "vector.recur.extract"); | ||||||||
| 3863 | } | ||||||||
| 3864 | // Extract the second last element in the middle block if the | ||||||||
| 3865 | // Phi is used outside the loop. We need to extract the phi itself | ||||||||
| 3866 | // and not the last element (the phi update in the current iteration). This | ||||||||
| 3867 | // will be the value when jumping to the exit block from the LoopMiddleBlock, | ||||||||
| 3868 | // when the scalar loop is not run at all. | ||||||||
| 3869 | Value *ExtractForPhiUsedOutsideLoop = nullptr; | ||||||||
| 3870 | if (VF.isVector()) | ||||||||
| 3871 | ExtractForPhiUsedOutsideLoop = Builder.CreateExtractElement( | ||||||||
| 3872 | Incoming, Builder.getInt32(VF.getKnownMinValue() - 2), | ||||||||
| 3873 | "vector.recur.extract.for.phi"); | ||||||||
| 3874 | // When loop is unrolled without vectorizing, initialize | ||||||||
| 3875 | // ExtractForPhiUsedOutsideLoop with the value just prior to unrolled value of | ||||||||
| 3876 | // `Incoming`. This is analogous to the vectorized case above: extracting the | ||||||||
| 3877 | // second last element when VF > 1. | ||||||||
| 3878 | else if (UF > 1) | ||||||||
| 3879 | ExtractForPhiUsedOutsideLoop = getOrCreateVectorValue(Previous, UF - 2); | ||||||||
| 3880 | |||||||||
| 3881 | // Fix the initial value of the original recurrence in the scalar loop. | ||||||||
| 3882 | Builder.SetInsertPoint(&*LoopScalarPreHeader->begin()); | ||||||||
| 3883 | auto *Start = Builder.CreatePHI(Phi->getType(), 2, "scalar.recur.init"); | ||||||||
| 3884 | for (auto *BB : predecessors(LoopScalarPreHeader)) { | ||||||||
| 3885 | auto *Incoming = BB == LoopMiddleBlock ? ExtractForScalar : ScalarInit; | ||||||||
| 3886 | Start->addIncoming(Incoming, BB); | ||||||||
| 3887 | } | ||||||||
| 3888 | |||||||||
| 3889 | Phi->setIncomingValueForBlock(LoopScalarPreHeader, Start); | ||||||||
| 3890 | Phi->setName("scalar.recur"); | ||||||||
| 3891 | |||||||||
| 3892 | // Finally, fix users of the recurrence outside the loop. The users will need | ||||||||
| 3893 | // either the last value of the scalar recurrence or the last value of the | ||||||||
| 3894 | // vector recurrence we extracted in the middle block. Since the loop is in | ||||||||
| 3895 | // LCSSA form, we just need to find all the phi nodes for the original scalar | ||||||||
| 3896 | // recurrence in the exit block, and then add an edge for the middle block. | ||||||||
| 3897 | for (PHINode &LCSSAPhi : LoopExitBlock->phis()) { | ||||||||
| 3898 | if (LCSSAPhi.getIncomingValue(0) == Phi) { | ||||||||
| 3899 | LCSSAPhi.addIncoming(ExtractForPhiUsedOutsideLoop, LoopMiddleBlock); | ||||||||
| 3900 | } | ||||||||
| 3901 | } | ||||||||
| 3902 | } | ||||||||
| 3903 | |||||||||
| 3904 | void InnerLoopVectorizer::fixReduction(PHINode *Phi) { | ||||||||
| 3905 | Constant *Zero = Builder.getInt32(0); | ||||||||
| 3906 | |||||||||
| 3907 | // Get it's reduction variable descriptor. | ||||||||
| 3908 | assert(Legal->isReductionVariable(Phi) &&((Legal->isReductionVariable(Phi) && "Unable to find the reduction variable" ) ? static_cast<void> (0) : __assert_fail ("Legal->isReductionVariable(Phi) && \"Unable to find the reduction variable\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3909, __PRETTY_FUNCTION__)) | ||||||||
| 3909 | "Unable to find the reduction variable")((Legal->isReductionVariable(Phi) && "Unable to find the reduction variable" ) ? static_cast<void> (0) : __assert_fail ("Legal->isReductionVariable(Phi) && \"Unable to find the reduction variable\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 3909, __PRETTY_FUNCTION__)); | ||||||||
| 3910 | RecurrenceDescriptor RdxDesc = Legal->getReductionVars()[Phi]; | ||||||||
| 3911 | |||||||||
| 3912 | RecurrenceDescriptor::RecurrenceKind RK = RdxDesc.getRecurrenceKind(); | ||||||||
| 3913 | TrackingVH<Value> ReductionStartValue = RdxDesc.getRecurrenceStartValue(); | ||||||||
| 3914 | Instruction *LoopExitInst = RdxDesc.getLoopExitInstr(); | ||||||||
| 3915 | RecurrenceDescriptor::MinMaxRecurrenceKind MinMaxKind = | ||||||||
| 3916 | RdxDesc.getMinMaxRecurrenceKind(); | ||||||||
| 3917 | setDebugLocFromInst(Builder, ReductionStartValue); | ||||||||
| 3918 | bool IsInLoopReductionPhi = Cost->isInLoopReduction(Phi); | ||||||||
| 3919 | |||||||||
| 3920 | // We need to generate a reduction vector from the incoming scalar. | ||||||||
| 3921 | // To do so, we need to generate the 'identity' vector and override | ||||||||
| 3922 | // one of the elements with the incoming scalar reduction. We need | ||||||||
| 3923 | // to do it in the vector-loop preheader. | ||||||||
| 3924 | Builder.SetInsertPoint(LoopVectorPreHeader->getTerminator()); | ||||||||
| 3925 | |||||||||
| 3926 | // This is the vector-clone of the value that leaves the loop. | ||||||||
| 3927 | Type *VecTy = getOrCreateVectorValue(LoopExitInst, 0)->getType(); | ||||||||
| 3928 | |||||||||
| 3929 | // Find the reduction identity variable. Zero for addition, or, xor, | ||||||||
| 3930 | // one for multiplication, -1 for And. | ||||||||
| 3931 | Value *Identity; | ||||||||
| 3932 | Value *VectorStart; | ||||||||
| 3933 | if (RK == RecurrenceDescriptor::RK_IntegerMinMax || | ||||||||
| 3934 | RK == RecurrenceDescriptor::RK_FloatMinMax) { | ||||||||
| 3935 | // MinMax reduction have the start value as their identify. | ||||||||
| 3936 | if (VF == 1 || IsInLoopReductionPhi) { | ||||||||
| 3937 | VectorStart = Identity = ReductionStartValue; | ||||||||
| 3938 | } else { | ||||||||
| 3939 | VectorStart = Identity = | ||||||||
| 3940 | Builder.CreateVectorSplat(VF, ReductionStartValue, "minmax.ident"); | ||||||||
| 3941 | } | ||||||||
| 3942 | } else { | ||||||||
| 3943 | // Handle other reduction kinds: | ||||||||
| 3944 | Constant *Iden = RecurrenceDescriptor::getRecurrenceIdentity( | ||||||||
| 3945 | RK, VecTy->getScalarType()); | ||||||||
| 3946 | if (VF == 1 || IsInLoopReductionPhi) { | ||||||||
| 3947 | Identity = Iden; | ||||||||
| 3948 | // This vector is the Identity vector where the first element is the | ||||||||
| 3949 | // incoming scalar reduction. | ||||||||
| 3950 | VectorStart = ReductionStartValue; | ||||||||
| 3951 | } else { | ||||||||
| 3952 | Identity = ConstantVector::getSplat(VF, Iden); | ||||||||
| 3953 | |||||||||
| 3954 | // This vector is the Identity vector where the first element is the | ||||||||
| 3955 | // incoming scalar reduction. | ||||||||
| 3956 | VectorStart = | ||||||||
| 3957 | Builder.CreateInsertElement(Identity, ReductionStartValue, Zero); | ||||||||
| 3958 | } | ||||||||
| 3959 | } | ||||||||
| 3960 | |||||||||
| 3961 | // Wrap flags are in general invalid after vectorization, clear them. | ||||||||
| 3962 | clearReductionWrapFlags(RdxDesc); | ||||||||
| 3963 | |||||||||
| 3964 | // Fix the vector-loop phi. | ||||||||
| 3965 | |||||||||
| 3966 | // Reductions do not have to start at zero. They can start with | ||||||||
| 3967 | // any loop invariant values. | ||||||||
| 3968 | BasicBlock *Latch = OrigLoop->getLoopLatch(); | ||||||||
| 3969 | Value *LoopVal = Phi->getIncomingValueForBlock(Latch); | ||||||||
| 3970 | |||||||||
| 3971 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 3972 | Value *VecRdxPhi = getOrCreateVectorValue(Phi, Part); | ||||||||
| 3973 | Value *Val = getOrCreateVectorValue(LoopVal, Part); | ||||||||
| 3974 | // Make sure to add the reduction start value only to the | ||||||||
| 3975 | // first unroll part. | ||||||||
| 3976 | Value *StartVal = (Part == 0) ? VectorStart : Identity; | ||||||||
| 3977 | cast<PHINode>(VecRdxPhi)->addIncoming(StartVal, LoopVectorPreHeader); | ||||||||
| 3978 | cast<PHINode>(VecRdxPhi) | ||||||||
| 3979 | ->addIncoming(Val, LI->getLoopFor(LoopVectorBody)->getLoopLatch()); | ||||||||
| 3980 | } | ||||||||
| 3981 | |||||||||
| 3982 | // Before each round, move the insertion point right between | ||||||||
| 3983 | // the PHIs and the values we are going to write. | ||||||||
| 3984 | // This allows us to write both PHINodes and the extractelement | ||||||||
| 3985 | // instructions. | ||||||||
| 3986 | Builder.SetInsertPoint(&*LoopMiddleBlock->getFirstInsertionPt()); | ||||||||
| 3987 | |||||||||
| 3988 | setDebugLocFromInst(Builder, LoopExitInst); | ||||||||
| 3989 | |||||||||
| 3990 | // If tail is folded by masking, the vector value to leave the loop should be | ||||||||
| 3991 | // a Select choosing between the vectorized LoopExitInst and vectorized Phi, | ||||||||
| 3992 | // instead of the former. | ||||||||
| 3993 | if (Cost->foldTailByMasking()) { | ||||||||
| 3994 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 3995 | Value *VecLoopExitInst = | ||||||||
| 3996 | VectorLoopValueMap.getVectorValue(LoopExitInst, Part); | ||||||||
| 3997 | Value *Sel = nullptr; | ||||||||
| 3998 | for (User *U : VecLoopExitInst->users()) { | ||||||||
| 3999 | if (isa<SelectInst>(U)) { | ||||||||
| 4000 | assert(!Sel && "Reduction exit feeding two selects")((!Sel && "Reduction exit feeding two selects") ? static_cast <void> (0) : __assert_fail ("!Sel && \"Reduction exit feeding two selects\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4000, __PRETTY_FUNCTION__)); | ||||||||
| 4001 | Sel = U; | ||||||||
| 4002 | } else | ||||||||
| 4003 | assert(isa<PHINode>(U) && "Reduction exit must feed Phi's or select")((isa<PHINode>(U) && "Reduction exit must feed Phi's or select" ) ? static_cast<void> (0) : __assert_fail ("isa<PHINode>(U) && \"Reduction exit must feed Phi's or select\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4003, __PRETTY_FUNCTION__)); | ||||||||
| 4004 | } | ||||||||
| 4005 | assert(Sel && "Reduction exit feeds no select")((Sel && "Reduction exit feeds no select") ? static_cast <void> (0) : __assert_fail ("Sel && \"Reduction exit feeds no select\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4005, __PRETTY_FUNCTION__)); | ||||||||
| 4006 | VectorLoopValueMap.resetVectorValue(LoopExitInst, Part, Sel); | ||||||||
| 4007 | |||||||||
| 4008 | // If the target can create a predicated operator for the reduction at no | ||||||||
| 4009 | // extra cost in the loop (for example a predicated vadd), it can be | ||||||||
| 4010 | // cheaper for the select to remain in the loop than be sunk out of it, | ||||||||
| 4011 | // and so use the select value for the phi instead of the old | ||||||||
| 4012 | // LoopExitValue. | ||||||||
| 4013 | RecurrenceDescriptor RdxDesc = Legal->getReductionVars()[Phi]; | ||||||||
| 4014 | if (PreferPredicatedReductionSelect || | ||||||||
| 4015 | TTI->preferPredicatedReductionSelect( | ||||||||
| 4016 | RdxDesc.getRecurrenceBinOp(RdxDesc.getRecurrenceKind()), | ||||||||
| 4017 | Phi->getType(), TargetTransformInfo::ReductionFlags())) { | ||||||||
| 4018 | auto *VecRdxPhi = cast<PHINode>(getOrCreateVectorValue(Phi, Part)); | ||||||||
| 4019 | VecRdxPhi->setIncomingValueForBlock( | ||||||||
| 4020 | LI->getLoopFor(LoopVectorBody)->getLoopLatch(), Sel); | ||||||||
| 4021 | } | ||||||||
| 4022 | } | ||||||||
| 4023 | } | ||||||||
| 4024 | |||||||||
| 4025 | // If the vector reduction can be performed in a smaller type, we truncate | ||||||||
| 4026 | // then extend the loop exit value to enable InstCombine to evaluate the | ||||||||
| 4027 | // entire expression in the smaller type. | ||||||||
| 4028 | if (VF.isVector() && Phi->getType() != RdxDesc.getRecurrenceType()) { | ||||||||
| 4029 | assert(!IsInLoopReductionPhi && "Unexpected truncated inloop reduction!")((!IsInLoopReductionPhi && "Unexpected truncated inloop reduction!" ) ? static_cast<void> (0) : __assert_fail ("!IsInLoopReductionPhi && \"Unexpected truncated inloop reduction!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4029, __PRETTY_FUNCTION__)); | ||||||||
| 4030 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4030, __PRETTY_FUNCTION__)); | ||||||||
| 4031 | Type *RdxVecTy = VectorType::get(RdxDesc.getRecurrenceType(), VF); | ||||||||
| 4032 | Builder.SetInsertPoint( | ||||||||
| 4033 | LI->getLoopFor(LoopVectorBody)->getLoopLatch()->getTerminator()); | ||||||||
| 4034 | VectorParts RdxParts(UF); | ||||||||
| 4035 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4036 | RdxParts[Part] = VectorLoopValueMap.getVectorValue(LoopExitInst, Part); | ||||||||
| 4037 | Value *Trunc = Builder.CreateTrunc(RdxParts[Part], RdxVecTy); | ||||||||
| 4038 | Value *Extnd = RdxDesc.isSigned() ? Builder.CreateSExt(Trunc, VecTy) | ||||||||
| 4039 | : Builder.CreateZExt(Trunc, VecTy); | ||||||||
| 4040 | for (Value::user_iterator UI = RdxParts[Part]->user_begin(); | ||||||||
| 4041 | UI != RdxParts[Part]->user_end();) | ||||||||
| 4042 | if (*UI != Trunc) { | ||||||||
| 4043 | (*UI++)->replaceUsesOfWith(RdxParts[Part], Extnd); | ||||||||
| 4044 | RdxParts[Part] = Extnd; | ||||||||
| 4045 | } else { | ||||||||
| 4046 | ++UI; | ||||||||
| 4047 | } | ||||||||
| 4048 | } | ||||||||
| 4049 | Builder.SetInsertPoint(&*LoopMiddleBlock->getFirstInsertionPt()); | ||||||||
| 4050 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4051 | RdxParts[Part] = Builder.CreateTrunc(RdxParts[Part], RdxVecTy); | ||||||||
| 4052 | VectorLoopValueMap.resetVectorValue(LoopExitInst, Part, RdxParts[Part]); | ||||||||
| 4053 | } | ||||||||
| 4054 | } | ||||||||
| 4055 | |||||||||
| 4056 | // Reduce all of the unrolled parts into a single vector. | ||||||||
| 4057 | Value *ReducedPartRdx = VectorLoopValueMap.getVectorValue(LoopExitInst, 0); | ||||||||
| 4058 | unsigned Op = RecurrenceDescriptor::getRecurrenceBinOp(RK); | ||||||||
| 4059 | |||||||||
| 4060 | // The middle block terminator has already been assigned a DebugLoc here (the | ||||||||
| 4061 | // OrigLoop's single latch terminator). We want the whole middle block to | ||||||||
| 4062 | // appear to execute on this line because: (a) it is all compiler generated, | ||||||||
| 4063 | // (b) these instructions are always executed after evaluating the latch | ||||||||
| 4064 | // conditional branch, and (c) other passes may add new predecessors which | ||||||||
| 4065 | // terminate on this line. This is the easiest way to ensure we don't | ||||||||
| 4066 | // accidentally cause an extra step back into the loop while debugging. | ||||||||
| 4067 | setDebugLocFromInst(Builder, LoopMiddleBlock->getTerminator()); | ||||||||
| 4068 | for (unsigned Part = 1; Part < UF; ++Part) { | ||||||||
| 4069 | Value *RdxPart = VectorLoopValueMap.getVectorValue(LoopExitInst, Part); | ||||||||
| 4070 | if (Op != Instruction::ICmp && Op != Instruction::FCmp) | ||||||||
| 4071 | // Floating point operations had to be 'fast' to enable the reduction. | ||||||||
| 4072 | ReducedPartRdx = addFastMathFlag( | ||||||||
| 4073 | Builder.CreateBinOp((Instruction::BinaryOps)Op, RdxPart, | ||||||||
| 4074 | ReducedPartRdx, "bin.rdx"), | ||||||||
| 4075 | RdxDesc.getFastMathFlags()); | ||||||||
| 4076 | else | ||||||||
| 4077 | ReducedPartRdx = createMinMaxOp(Builder, MinMaxKind, ReducedPartRdx, | ||||||||
| 4078 | RdxPart); | ||||||||
| 4079 | } | ||||||||
| 4080 | |||||||||
| 4081 | // Create the reduction after the loop. Note that inloop reductions create the | ||||||||
| 4082 | // target reduction in the loop using a Reduction recipe. | ||||||||
| 4083 | if (VF.isVector() && !IsInLoopReductionPhi) { | ||||||||
| 4084 | bool NoNaN = Legal->hasFunNoNaNAttr(); | ||||||||
| 4085 | ReducedPartRdx = | ||||||||
| 4086 | createTargetReduction(Builder, TTI, RdxDesc, ReducedPartRdx, NoNaN); | ||||||||
| 4087 | // If the reduction can be performed in a smaller type, we need to extend | ||||||||
| 4088 | // the reduction to the wider type before we branch to the original loop. | ||||||||
| 4089 | if (Phi->getType() != RdxDesc.getRecurrenceType()) | ||||||||
| 4090 | ReducedPartRdx = | ||||||||
| 4091 | RdxDesc.isSigned() | ||||||||
| 4092 | ? Builder.CreateSExt(ReducedPartRdx, Phi->getType()) | ||||||||
| 4093 | : Builder.CreateZExt(ReducedPartRdx, Phi->getType()); | ||||||||
| 4094 | } | ||||||||
| 4095 | |||||||||
| 4096 | // Create a phi node that merges control-flow from the backedge-taken check | ||||||||
| 4097 | // block and the middle block. | ||||||||
| 4098 | PHINode *BCBlockPhi = PHINode::Create(Phi->getType(), 2, "bc.merge.rdx", | ||||||||
| 4099 | LoopScalarPreHeader->getTerminator()); | ||||||||
| 4100 | for (unsigned I = 0, E = LoopBypassBlocks.size(); I != E; ++I) | ||||||||
| 4101 | BCBlockPhi->addIncoming(ReductionStartValue, LoopBypassBlocks[I]); | ||||||||
| 4102 | BCBlockPhi->addIncoming(ReducedPartRdx, LoopMiddleBlock); | ||||||||
| 4103 | |||||||||
| 4104 | // Now, we need to fix the users of the reduction variable | ||||||||
| 4105 | // inside and outside of the scalar remainder loop. | ||||||||
| 4106 | // We know that the loop is in LCSSA form. We need to update the | ||||||||
| 4107 | // PHI nodes in the exit blocks. | ||||||||
| 4108 | for (PHINode &LCSSAPhi : LoopExitBlock->phis()) { | ||||||||
| 4109 | // All PHINodes need to have a single entry edge, or two if | ||||||||
| 4110 | // we already fixed them. | ||||||||
| 4111 | assert(LCSSAPhi.getNumIncomingValues() < 3 && "Invalid LCSSA PHI")((LCSSAPhi.getNumIncomingValues() < 3 && "Invalid LCSSA PHI" ) ? static_cast<void> (0) : __assert_fail ("LCSSAPhi.getNumIncomingValues() < 3 && \"Invalid LCSSA PHI\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4111, __PRETTY_FUNCTION__)); | ||||||||
| 4112 | |||||||||
| 4113 | // We found a reduction value exit-PHI. Update it with the | ||||||||
| 4114 | // incoming bypass edge. | ||||||||
| 4115 | if (LCSSAPhi.getIncomingValue(0) == LoopExitInst) | ||||||||
| 4116 | LCSSAPhi.addIncoming(ReducedPartRdx, LoopMiddleBlock); | ||||||||
| 4117 | } // end of the LCSSA phi scan. | ||||||||
| 4118 | |||||||||
| 4119 | // Fix the scalar loop reduction variable with the incoming reduction sum | ||||||||
| 4120 | // from the vector body and from the backedge value. | ||||||||
| 4121 | int IncomingEdgeBlockIdx = | ||||||||
| 4122 | Phi->getBasicBlockIndex(OrigLoop->getLoopLatch()); | ||||||||
| 4123 | assert(IncomingEdgeBlockIdx >= 0 && "Invalid block index")((IncomingEdgeBlockIdx >= 0 && "Invalid block index" ) ? static_cast<void> (0) : __assert_fail ("IncomingEdgeBlockIdx >= 0 && \"Invalid block index\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4123, __PRETTY_FUNCTION__)); | ||||||||
| 4124 | // Pick the other block. | ||||||||
| 4125 | int SelfEdgeBlockIdx = (IncomingEdgeBlockIdx ? 0 : 1); | ||||||||
| 4126 | Phi->setIncomingValue(SelfEdgeBlockIdx, BCBlockPhi); | ||||||||
| 4127 | Phi->setIncomingValue(IncomingEdgeBlockIdx, LoopExitInst); | ||||||||
| 4128 | } | ||||||||
| 4129 | |||||||||
| 4130 | void InnerLoopVectorizer::clearReductionWrapFlags( | ||||||||
| 4131 | RecurrenceDescriptor &RdxDesc) { | ||||||||
| 4132 | RecurrenceDescriptor::RecurrenceKind RK = RdxDesc.getRecurrenceKind(); | ||||||||
| 4133 | if (RK != RecurrenceDescriptor::RK_IntegerAdd && | ||||||||
| 4134 | RK != RecurrenceDescriptor::RK_IntegerMult) | ||||||||
| 4135 | return; | ||||||||
| 4136 | |||||||||
| 4137 | Instruction *LoopExitInstr = RdxDesc.getLoopExitInstr(); | ||||||||
| 4138 | assert(LoopExitInstr && "null loop exit instruction")((LoopExitInstr && "null loop exit instruction") ? static_cast <void> (0) : __assert_fail ("LoopExitInstr && \"null loop exit instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4138, __PRETTY_FUNCTION__)); | ||||||||
| 4139 | SmallVector<Instruction *, 8> Worklist; | ||||||||
| 4140 | SmallPtrSet<Instruction *, 8> Visited; | ||||||||
| 4141 | Worklist.push_back(LoopExitInstr); | ||||||||
| 4142 | Visited.insert(LoopExitInstr); | ||||||||
| 4143 | |||||||||
| 4144 | while (!Worklist.empty()) { | ||||||||
| 4145 | Instruction *Cur = Worklist.pop_back_val(); | ||||||||
| 4146 | if (isa<OverflowingBinaryOperator>(Cur)) | ||||||||
| 4147 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4148 | Value *V = getOrCreateVectorValue(Cur, Part); | ||||||||
| 4149 | cast<Instruction>(V)->dropPoisonGeneratingFlags(); | ||||||||
| 4150 | } | ||||||||
| 4151 | |||||||||
| 4152 | for (User *U : Cur->users()) { | ||||||||
| 4153 | Instruction *UI = cast<Instruction>(U); | ||||||||
| 4154 | if ((Cur != LoopExitInstr || OrigLoop->contains(UI->getParent())) && | ||||||||
| 4155 | Visited.insert(UI).second) | ||||||||
| 4156 | Worklist.push_back(UI); | ||||||||
| 4157 | } | ||||||||
| 4158 | } | ||||||||
| 4159 | } | ||||||||
| 4160 | |||||||||
| 4161 | void InnerLoopVectorizer::fixLCSSAPHIs() { | ||||||||
| 4162 | assert(!VF.isScalable() && "the code below assumes fixed width vectors")((!VF.isScalable() && "the code below assumes fixed width vectors" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"the code below assumes fixed width vectors\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4162, __PRETTY_FUNCTION__)); | ||||||||
| 4163 | for (PHINode &LCSSAPhi : LoopExitBlock->phis()) { | ||||||||
| 4164 | if (LCSSAPhi.getNumIncomingValues() == 1) { | ||||||||
| 4165 | auto *IncomingValue = LCSSAPhi.getIncomingValue(0); | ||||||||
| 4166 | // Non-instruction incoming values will have only one value. | ||||||||
| 4167 | unsigned LastLane = 0; | ||||||||
| 4168 | if (isa<Instruction>(IncomingValue)) | ||||||||
| 4169 | LastLane = Cost->isUniformAfterVectorization( | ||||||||
| 4170 | cast<Instruction>(IncomingValue), VF) | ||||||||
| 4171 | ? 0 | ||||||||
| 4172 | : VF.getKnownMinValue() - 1; | ||||||||
| 4173 | // Can be a loop invariant incoming value or the last scalar value to be | ||||||||
| 4174 | // extracted from the vectorized loop. | ||||||||
| 4175 | Builder.SetInsertPoint(LoopMiddleBlock->getTerminator()); | ||||||||
| 4176 | Value *lastIncomingValue = | ||||||||
| 4177 | getOrCreateScalarValue(IncomingValue, { UF - 1, LastLane }); | ||||||||
| 4178 | LCSSAPhi.addIncoming(lastIncomingValue, LoopMiddleBlock); | ||||||||
| 4179 | } | ||||||||
| 4180 | } | ||||||||
| 4181 | } | ||||||||
| 4182 | |||||||||
| 4183 | void InnerLoopVectorizer::sinkScalarOperands(Instruction *PredInst) { | ||||||||
| 4184 | // The basic block and loop containing the predicated instruction. | ||||||||
| 4185 | auto *PredBB = PredInst->getParent(); | ||||||||
| 4186 | auto *VectorLoop = LI->getLoopFor(PredBB); | ||||||||
| 4187 | |||||||||
| 4188 | // Initialize a worklist with the operands of the predicated instruction. | ||||||||
| 4189 | SetVector<Value *> Worklist(PredInst->op_begin(), PredInst->op_end()); | ||||||||
| 4190 | |||||||||
| 4191 | // Holds instructions that we need to analyze again. An instruction may be | ||||||||
| 4192 | // reanalyzed if we don't yet know if we can sink it or not. | ||||||||
| 4193 | SmallVector<Instruction *, 8> InstsToReanalyze; | ||||||||
| 4194 | |||||||||
| 4195 | // Returns true if a given use occurs in the predicated block. Phi nodes use | ||||||||
| 4196 | // their operands in their corresponding predecessor blocks. | ||||||||
| 4197 | auto isBlockOfUsePredicated = [&](Use &U) -> bool { | ||||||||
| 4198 | auto *I = cast<Instruction>(U.getUser()); | ||||||||
| 4199 | BasicBlock *BB = I->getParent(); | ||||||||
| 4200 | if (auto *Phi = dyn_cast<PHINode>(I)) | ||||||||
| 4201 | BB = Phi->getIncomingBlock( | ||||||||
| 4202 | PHINode::getIncomingValueNumForOperand(U.getOperandNo())); | ||||||||
| 4203 | return BB == PredBB; | ||||||||
| 4204 | }; | ||||||||
| 4205 | |||||||||
| 4206 | // Iteratively sink the scalarized operands of the predicated instruction | ||||||||
| 4207 | // into the block we created for it. When an instruction is sunk, it's | ||||||||
| 4208 | // operands are then added to the worklist. The algorithm ends after one pass | ||||||||
| 4209 | // through the worklist doesn't sink a single instruction. | ||||||||
| 4210 | bool Changed; | ||||||||
| 4211 | do { | ||||||||
| 4212 | // Add the instructions that need to be reanalyzed to the worklist, and | ||||||||
| 4213 | // reset the changed indicator. | ||||||||
| 4214 | Worklist.insert(InstsToReanalyze.begin(), InstsToReanalyze.end()); | ||||||||
| 4215 | InstsToReanalyze.clear(); | ||||||||
| 4216 | Changed = false; | ||||||||
| 4217 | |||||||||
| 4218 | while (!Worklist.empty()) { | ||||||||
| 4219 | auto *I = dyn_cast<Instruction>(Worklist.pop_back_val()); | ||||||||
| 4220 | |||||||||
| 4221 | // We can't sink an instruction if it is a phi node, is already in the | ||||||||
| 4222 | // predicated block, is not in the loop, or may have side effects. | ||||||||
| 4223 | if (!I || isa<PHINode>(I) || I->getParent() == PredBB || | ||||||||
| 4224 | !VectorLoop->contains(I) || I->mayHaveSideEffects()) | ||||||||
| 4225 | continue; | ||||||||
| 4226 | |||||||||
| 4227 | // It's legal to sink the instruction if all its uses occur in the | ||||||||
| 4228 | // predicated block. Otherwise, there's nothing to do yet, and we may | ||||||||
| 4229 | // need to reanalyze the instruction. | ||||||||
| 4230 | if (!llvm::all_of(I->uses(), isBlockOfUsePredicated)) { | ||||||||
| 4231 | InstsToReanalyze.push_back(I); | ||||||||
| 4232 | continue; | ||||||||
| 4233 | } | ||||||||
| 4234 | |||||||||
| 4235 | // Move the instruction to the beginning of the predicated block, and add | ||||||||
| 4236 | // it's operands to the worklist. | ||||||||
| 4237 | I->moveBefore(&*PredBB->getFirstInsertionPt()); | ||||||||
| 4238 | Worklist.insert(I->op_begin(), I->op_end()); | ||||||||
| 4239 | |||||||||
| 4240 | // The sinking may have enabled other instructions to be sunk, so we will | ||||||||
| 4241 | // need to iterate. | ||||||||
| 4242 | Changed = true; | ||||||||
| 4243 | } | ||||||||
| 4244 | } while (Changed); | ||||||||
| 4245 | } | ||||||||
| 4246 | |||||||||
| 4247 | void InnerLoopVectorizer::fixNonInductionPHIs() { | ||||||||
| 4248 | for (PHINode *OrigPhi : OrigPHIsToFix) { | ||||||||
| 4249 | PHINode *NewPhi = | ||||||||
| 4250 | cast<PHINode>(VectorLoopValueMap.getVectorValue(OrigPhi, 0)); | ||||||||
| 4251 | unsigned NumIncomingValues = OrigPhi->getNumIncomingValues(); | ||||||||
| 4252 | |||||||||
| 4253 | SmallVector<BasicBlock *, 2> ScalarBBPredecessors( | ||||||||
| 4254 | predecessors(OrigPhi->getParent())); | ||||||||
| 4255 | SmallVector<BasicBlock *, 2> VectorBBPredecessors( | ||||||||
| 4256 | predecessors(NewPhi->getParent())); | ||||||||
| 4257 | assert(ScalarBBPredecessors.size() == VectorBBPredecessors.size() &&((ScalarBBPredecessors.size() == VectorBBPredecessors.size() && "Scalar and Vector BB should have the same number of predecessors" ) ? static_cast<void> (0) : __assert_fail ("ScalarBBPredecessors.size() == VectorBBPredecessors.size() && \"Scalar and Vector BB should have the same number of predecessors\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4258, __PRETTY_FUNCTION__)) | ||||||||
| 4258 | "Scalar and Vector BB should have the same number of predecessors")((ScalarBBPredecessors.size() == VectorBBPredecessors.size() && "Scalar and Vector BB should have the same number of predecessors" ) ? static_cast<void> (0) : __assert_fail ("ScalarBBPredecessors.size() == VectorBBPredecessors.size() && \"Scalar and Vector BB should have the same number of predecessors\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4258, __PRETTY_FUNCTION__)); | ||||||||
| 4259 | |||||||||
| 4260 | // The insertion point in Builder may be invalidated by the time we get | ||||||||
| 4261 | // here. Force the Builder insertion point to something valid so that we do | ||||||||
| 4262 | // not run into issues during insertion point restore in | ||||||||
| 4263 | // getOrCreateVectorValue calls below. | ||||||||
| 4264 | Builder.SetInsertPoint(NewPhi); | ||||||||
| 4265 | |||||||||
| 4266 | // The predecessor order is preserved and we can rely on mapping between | ||||||||
| 4267 | // scalar and vector block predecessors. | ||||||||
| 4268 | for (unsigned i = 0; i < NumIncomingValues; ++i) { | ||||||||
| 4269 | BasicBlock *NewPredBB = VectorBBPredecessors[i]; | ||||||||
| 4270 | |||||||||
| 4271 | // When looking up the new scalar/vector values to fix up, use incoming | ||||||||
| 4272 | // values from original phi. | ||||||||
| 4273 | Value *ScIncV = | ||||||||
| 4274 | OrigPhi->getIncomingValueForBlock(ScalarBBPredecessors[i]); | ||||||||
| 4275 | |||||||||
| 4276 | // Scalar incoming value may need a broadcast | ||||||||
| 4277 | Value *NewIncV = getOrCreateVectorValue(ScIncV, 0); | ||||||||
| 4278 | NewPhi->addIncoming(NewIncV, NewPredBB); | ||||||||
| 4279 | } | ||||||||
| 4280 | } | ||||||||
| 4281 | } | ||||||||
| 4282 | |||||||||
| 4283 | void InnerLoopVectorizer::widenGEP(GetElementPtrInst *GEP, VPUser &Operands, | ||||||||
| 4284 | unsigned UF, ElementCount VF, | ||||||||
| 4285 | bool IsPtrLoopInvariant, | ||||||||
| 4286 | SmallBitVector &IsIndexLoopInvariant, | ||||||||
| 4287 | VPTransformState &State) { | ||||||||
| 4288 | // Construct a vector GEP by widening the operands of the scalar GEP as | ||||||||
| 4289 | // necessary. We mark the vector GEP 'inbounds' if appropriate. A GEP | ||||||||
| 4290 | // results in a vector of pointers when at least one operand of the GEP | ||||||||
| 4291 | // is vector-typed. Thus, to keep the representation compact, we only use | ||||||||
| 4292 | // vector-typed operands for loop-varying values. | ||||||||
| 4293 | |||||||||
| 4294 | if (VF.isVector() && IsPtrLoopInvariant && IsIndexLoopInvariant.all()) { | ||||||||
| 4295 | // If we are vectorizing, but the GEP has only loop-invariant operands, | ||||||||
| 4296 | // the GEP we build (by only using vector-typed operands for | ||||||||
| 4297 | // loop-varying values) would be a scalar pointer. Thus, to ensure we | ||||||||
| 4298 | // produce a vector of pointers, we need to either arbitrarily pick an | ||||||||
| 4299 | // operand to broadcast, or broadcast a clone of the original GEP. | ||||||||
| 4300 | // Here, we broadcast a clone of the original. | ||||||||
| 4301 | // | ||||||||
| 4302 | // TODO: If at some point we decide to scalarize instructions having | ||||||||
| 4303 | // loop-invariant operands, this special case will no longer be | ||||||||
| 4304 | // required. We would add the scalarization decision to | ||||||||
| 4305 | // collectLoopScalars() and teach getVectorValue() to broadcast | ||||||||
| 4306 | // the lane-zero scalar value. | ||||||||
| 4307 | auto *Clone = Builder.Insert(GEP->clone()); | ||||||||
| 4308 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4309 | Value *EntryPart = Builder.CreateVectorSplat(VF, Clone); | ||||||||
| 4310 | VectorLoopValueMap.setVectorValue(GEP, Part, EntryPart); | ||||||||
| 4311 | addMetadata(EntryPart, GEP); | ||||||||
| 4312 | } | ||||||||
| 4313 | } else { | ||||||||
| 4314 | // If the GEP has at least one loop-varying operand, we are sure to | ||||||||
| 4315 | // produce a vector of pointers. But if we are only unrolling, we want | ||||||||
| 4316 | // to produce a scalar GEP for each unroll part. Thus, the GEP we | ||||||||
| 4317 | // produce with the code below will be scalar (if VF == 1) or vector | ||||||||
| 4318 | // (otherwise). Note that for the unroll-only case, we still maintain | ||||||||
| 4319 | // values in the vector mapping with initVector, as we do for other | ||||||||
| 4320 | // instructions. | ||||||||
| 4321 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4322 | // The pointer operand of the new GEP. If it's loop-invariant, we | ||||||||
| 4323 | // won't broadcast it. | ||||||||
| 4324 | auto *Ptr = IsPtrLoopInvariant ? State.get(Operands.getOperand(0), {0, 0}) | ||||||||
| 4325 | : State.get(Operands.getOperand(0), Part); | ||||||||
| 4326 | |||||||||
| 4327 | // Collect all the indices for the new GEP. If any index is | ||||||||
| 4328 | // loop-invariant, we won't broadcast it. | ||||||||
| 4329 | SmallVector<Value *, 4> Indices; | ||||||||
| 4330 | for (unsigned I = 1, E = Operands.getNumOperands(); I < E; I++) { | ||||||||
| 4331 | VPValue *Operand = Operands.getOperand(I); | ||||||||
| 4332 | if (IsIndexLoopInvariant[I - 1]) | ||||||||
| 4333 | Indices.push_back(State.get(Operand, {0, 0})); | ||||||||
| 4334 | else | ||||||||
| 4335 | Indices.push_back(State.get(Operand, Part)); | ||||||||
| 4336 | } | ||||||||
| 4337 | |||||||||
| 4338 | // Create the new GEP. Note that this GEP may be a scalar if VF == 1, | ||||||||
| 4339 | // but it should be a vector, otherwise. | ||||||||
| 4340 | auto *NewGEP = | ||||||||
| 4341 | GEP->isInBounds() | ||||||||
| 4342 | ? Builder.CreateInBoundsGEP(GEP->getSourceElementType(), Ptr, | ||||||||
| 4343 | Indices) | ||||||||
| 4344 | : Builder.CreateGEP(GEP->getSourceElementType(), Ptr, Indices); | ||||||||
| 4345 | assert((VF == 1 || NewGEP->getType()->isVectorTy()) &&(((VF == 1 || NewGEP->getType()->isVectorTy()) && "NewGEP is not a pointer vector") ? static_cast<void> ( 0) : __assert_fail ("(VF == 1 || NewGEP->getType()->isVectorTy()) && \"NewGEP is not a pointer vector\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4346, __PRETTY_FUNCTION__)) | ||||||||
| 4346 | "NewGEP is not a pointer vector")(((VF == 1 || NewGEP->getType()->isVectorTy()) && "NewGEP is not a pointer vector") ? static_cast<void> ( 0) : __assert_fail ("(VF == 1 || NewGEP->getType()->isVectorTy()) && \"NewGEP is not a pointer vector\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4346, __PRETTY_FUNCTION__)); | ||||||||
| 4347 | VectorLoopValueMap.setVectorValue(GEP, Part, NewGEP); | ||||||||
| 4348 | addMetadata(NewGEP, GEP); | ||||||||
| 4349 | } | ||||||||
| 4350 | } | ||||||||
| 4351 | } | ||||||||
| 4352 | |||||||||
| 4353 | void InnerLoopVectorizer::widenPHIInstruction(Instruction *PN, unsigned UF, | ||||||||
| 4354 | ElementCount VF) { | ||||||||
| 4355 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4355, __PRETTY_FUNCTION__)); | ||||||||
| 4356 | PHINode *P = cast<PHINode>(PN); | ||||||||
| 4357 | if (EnableVPlanNativePath) { | ||||||||
| 4358 | // Currently we enter here in the VPlan-native path for non-induction | ||||||||
| 4359 | // PHIs where all control flow is uniform. We simply widen these PHIs. | ||||||||
| 4360 | // Create a vector phi with no operands - the vector phi operands will be | ||||||||
| 4361 | // set at the end of vector code generation. | ||||||||
| 4362 | Type *VecTy = | ||||||||
| 4363 | (VF.isScalar()) ? PN->getType() : VectorType::get(PN->getType(), VF); | ||||||||
| 4364 | Value *VecPhi = Builder.CreatePHI(VecTy, PN->getNumOperands(), "vec.phi"); | ||||||||
| 4365 | VectorLoopValueMap.setVectorValue(P, 0, VecPhi); | ||||||||
| 4366 | OrigPHIsToFix.push_back(P); | ||||||||
| 4367 | |||||||||
| 4368 | return; | ||||||||
| 4369 | } | ||||||||
| 4370 | |||||||||
| 4371 | assert(PN->getParent() == OrigLoop->getHeader() &&((PN->getParent() == OrigLoop->getHeader() && "Non-header phis should have been handled elsewhere" ) ? static_cast<void> (0) : __assert_fail ("PN->getParent() == OrigLoop->getHeader() && \"Non-header phis should have been handled elsewhere\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4372, __PRETTY_FUNCTION__)) | ||||||||
| 4372 | "Non-header phis should have been handled elsewhere")((PN->getParent() == OrigLoop->getHeader() && "Non-header phis should have been handled elsewhere" ) ? static_cast<void> (0) : __assert_fail ("PN->getParent() == OrigLoop->getHeader() && \"Non-header phis should have been handled elsewhere\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4372, __PRETTY_FUNCTION__)); | ||||||||
| 4373 | |||||||||
| 4374 | // In order to support recurrences we need to be able to vectorize Phi nodes. | ||||||||
| 4375 | // Phi nodes have cycles, so we need to vectorize them in two stages. This is | ||||||||
| 4376 | // stage #1: We create a new vector PHI node with no incoming edges. We'll use | ||||||||
| 4377 | // this value when we vectorize all of the instructions that use the PHI. | ||||||||
| 4378 | if (Legal->isReductionVariable(P) || Legal->isFirstOrderRecurrence(P)) { | ||||||||
| 4379 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4380 | // This is phase one of vectorizing PHIs. | ||||||||
| 4381 | bool ScalarPHI = | ||||||||
| 4382 | (VF.isScalar()) || Cost->isInLoopReduction(cast<PHINode>(PN)); | ||||||||
| 4383 | Type *VecTy = | ||||||||
| 4384 | ScalarPHI ? PN->getType() : VectorType::get(PN->getType(), VF); | ||||||||
| 4385 | Value *EntryPart = PHINode::Create( | ||||||||
| 4386 | VecTy, 2, "vec.phi", &*LoopVectorBody->getFirstInsertionPt()); | ||||||||
| 4387 | VectorLoopValueMap.setVectorValue(P, Part, EntryPart); | ||||||||
| 4388 | } | ||||||||
| 4389 | return; | ||||||||
| 4390 | } | ||||||||
| 4391 | |||||||||
| 4392 | setDebugLocFromInst(Builder, P); | ||||||||
| 4393 | |||||||||
| 4394 | // This PHINode must be an induction variable. | ||||||||
| 4395 | // Make sure that we know about it. | ||||||||
| 4396 | assert(Legal->getInductionVars().count(P) && "Not an induction variable")((Legal->getInductionVars().count(P) && "Not an induction variable" ) ? static_cast<void> (0) : __assert_fail ("Legal->getInductionVars().count(P) && \"Not an induction variable\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4396, __PRETTY_FUNCTION__)); | ||||||||
| 4397 | |||||||||
| 4398 | InductionDescriptor II = Legal->getInductionVars().lookup(P); | ||||||||
| 4399 | const DataLayout &DL = OrigLoop->getHeader()->getModule()->getDataLayout(); | ||||||||
| 4400 | |||||||||
| 4401 | // FIXME: The newly created binary instructions should contain nsw/nuw flags, | ||||||||
| 4402 | // which can be found from the original scalar operations. | ||||||||
| 4403 | switch (II.getKind()) { | ||||||||
| 4404 | case InductionDescriptor::IK_NoInduction: | ||||||||
| 4405 | llvm_unreachable("Unknown induction")::llvm::llvm_unreachable_internal("Unknown induction", "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4405); | ||||||||
| 4406 | case InductionDescriptor::IK_IntInduction: | ||||||||
| 4407 | case InductionDescriptor::IK_FpInduction: | ||||||||
| 4408 | llvm_unreachable("Integer/fp induction is handled elsewhere.")::llvm::llvm_unreachable_internal("Integer/fp induction is handled elsewhere." , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4408); | ||||||||
| 4409 | case InductionDescriptor::IK_PtrInduction: { | ||||||||
| 4410 | // Handle the pointer induction variable case. | ||||||||
| 4411 | assert(P->getType()->isPointerTy() && "Unexpected type.")((P->getType()->isPointerTy() && "Unexpected type." ) ? static_cast<void> (0) : __assert_fail ("P->getType()->isPointerTy() && \"Unexpected type.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4411, __PRETTY_FUNCTION__)); | ||||||||
| 4412 | |||||||||
| 4413 | if (Cost->isScalarAfterVectorization(P, VF)) { | ||||||||
| 4414 | // This is the normalized GEP that starts counting at zero. | ||||||||
| 4415 | Value *PtrInd = | ||||||||
| 4416 | Builder.CreateSExtOrTrunc(Induction, II.getStep()->getType()); | ||||||||
| 4417 | // Determine the number of scalars we need to generate for each unroll | ||||||||
| 4418 | // iteration. If the instruction is uniform, we only need to generate the | ||||||||
| 4419 | // first lane. Otherwise, we generate all VF values. | ||||||||
| 4420 | unsigned Lanes = | ||||||||
| 4421 | Cost->isUniformAfterVectorization(P, VF) ? 1 : VF.getKnownMinValue(); | ||||||||
| 4422 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4423 | for (unsigned Lane = 0; Lane < Lanes; ++Lane) { | ||||||||
| 4424 | Constant *Idx = ConstantInt::get(PtrInd->getType(), | ||||||||
| 4425 | Lane + Part * VF.getKnownMinValue()); | ||||||||
| 4426 | Value *GlobalIdx = Builder.CreateAdd(PtrInd, Idx); | ||||||||
| 4427 | Value *SclrGep = | ||||||||
| 4428 | emitTransformedIndex(Builder, GlobalIdx, PSE.getSE(), DL, II); | ||||||||
| 4429 | SclrGep->setName("next.gep"); | ||||||||
| 4430 | VectorLoopValueMap.setScalarValue(P, {Part, Lane}, SclrGep); | ||||||||
| 4431 | } | ||||||||
| 4432 | } | ||||||||
| 4433 | return; | ||||||||
| 4434 | } | ||||||||
| 4435 | assert(isa<SCEVConstant>(II.getStep()) &&((isa<SCEVConstant>(II.getStep()) && "Induction step not a SCEV constant!" ) ? static_cast<void> (0) : __assert_fail ("isa<SCEVConstant>(II.getStep()) && \"Induction step not a SCEV constant!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4436, __PRETTY_FUNCTION__)) | ||||||||
| 4436 | "Induction step not a SCEV constant!")((isa<SCEVConstant>(II.getStep()) && "Induction step not a SCEV constant!" ) ? static_cast<void> (0) : __assert_fail ("isa<SCEVConstant>(II.getStep()) && \"Induction step not a SCEV constant!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4436, __PRETTY_FUNCTION__)); | ||||||||
| 4437 | Type *PhiType = II.getStep()->getType(); | ||||||||
| 4438 | |||||||||
| 4439 | // Build a pointer phi | ||||||||
| 4440 | Value *ScalarStartValue = II.getStartValue(); | ||||||||
| 4441 | Type *ScStValueType = ScalarStartValue->getType(); | ||||||||
| 4442 | PHINode *NewPointerPhi = | ||||||||
| 4443 | PHINode::Create(ScStValueType, 2, "pointer.phi", Induction); | ||||||||
| 4444 | NewPointerPhi->addIncoming(ScalarStartValue, LoopVectorPreHeader); | ||||||||
| 4445 | |||||||||
| 4446 | // A pointer induction, performed by using a gep | ||||||||
| 4447 | BasicBlock *LoopLatch = LI->getLoopFor(LoopVectorBody)->getLoopLatch(); | ||||||||
| 4448 | Instruction *InductionLoc = LoopLatch->getTerminator(); | ||||||||
| 4449 | const SCEV *ScalarStep = II.getStep(); | ||||||||
| 4450 | SCEVExpander Exp(*PSE.getSE(), DL, "induction"); | ||||||||
| 4451 | Value *ScalarStepValue = | ||||||||
| 4452 | Exp.expandCodeFor(ScalarStep, PhiType, InductionLoc); | ||||||||
| 4453 | Value *InductionGEP = GetElementPtrInst::Create( | ||||||||
| 4454 | ScStValueType->getPointerElementType(), NewPointerPhi, | ||||||||
| 4455 | Builder.CreateMul( | ||||||||
| 4456 | ScalarStepValue, | ||||||||
| 4457 | ConstantInt::get(PhiType, VF.getKnownMinValue() * UF)), | ||||||||
| 4458 | "ptr.ind", InductionLoc); | ||||||||
| 4459 | NewPointerPhi->addIncoming(InductionGEP, LoopLatch); | ||||||||
| 4460 | |||||||||
| 4461 | // Create UF many actual address geps that use the pointer | ||||||||
| 4462 | // phi as base and a vectorized version of the step value | ||||||||
| 4463 | // (<step*0, ..., step*N>) as offset. | ||||||||
| 4464 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4465 | SmallVector<Constant *, 8> Indices; | ||||||||
| 4466 | // Create a vector of consecutive numbers from zero to VF. | ||||||||
| 4467 | for (unsigned i = 0; i < VF.getKnownMinValue(); ++i) | ||||||||
| 4468 | Indices.push_back( | ||||||||
| 4469 | ConstantInt::get(PhiType, i + Part * VF.getKnownMinValue())); | ||||||||
| 4470 | Constant *StartOffset = ConstantVector::get(Indices); | ||||||||
| 4471 | |||||||||
| 4472 | Value *GEP = Builder.CreateGEP( | ||||||||
| 4473 | ScStValueType->getPointerElementType(), NewPointerPhi, | ||||||||
| 4474 | Builder.CreateMul( | ||||||||
| 4475 | StartOffset, | ||||||||
| 4476 | Builder.CreateVectorSplat(VF.getKnownMinValue(), ScalarStepValue), | ||||||||
| 4477 | "vector.gep")); | ||||||||
| 4478 | VectorLoopValueMap.setVectorValue(P, Part, GEP); | ||||||||
| 4479 | } | ||||||||
| 4480 | } | ||||||||
| 4481 | } | ||||||||
| 4482 | } | ||||||||
| 4483 | |||||||||
| 4484 | /// A helper function for checking whether an integer division-related | ||||||||
| 4485 | /// instruction may divide by zero (in which case it must be predicated if | ||||||||
| 4486 | /// executed conditionally in the scalar code). | ||||||||
| 4487 | /// TODO: It may be worthwhile to generalize and check isKnownNonZero(). | ||||||||
| 4488 | /// Non-zero divisors that are non compile-time constants will not be | ||||||||
| 4489 | /// converted into multiplication, so we will still end up scalarizing | ||||||||
| 4490 | /// the division, but can do so w/o predication. | ||||||||
| 4491 | static bool mayDivideByZero(Instruction &I) { | ||||||||
| 4492 | assert((I.getOpcode() == Instruction::UDiv ||(((I.getOpcode() == Instruction::UDiv || I.getOpcode() == Instruction ::SDiv || I.getOpcode() == Instruction::URem || I.getOpcode() == Instruction::SRem) && "Unexpected instruction") ? static_cast<void> (0) : __assert_fail ("(I.getOpcode() == Instruction::UDiv || I.getOpcode() == Instruction::SDiv || I.getOpcode() == Instruction::URem || I.getOpcode() == Instruction::SRem) && \"Unexpected instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4496, __PRETTY_FUNCTION__)) | ||||||||
| 4493 | I.getOpcode() == Instruction::SDiv ||(((I.getOpcode() == Instruction::UDiv || I.getOpcode() == Instruction ::SDiv || I.getOpcode() == Instruction::URem || I.getOpcode() == Instruction::SRem) && "Unexpected instruction") ? static_cast<void> (0) : __assert_fail ("(I.getOpcode() == Instruction::UDiv || I.getOpcode() == Instruction::SDiv || I.getOpcode() == Instruction::URem || I.getOpcode() == Instruction::SRem) && \"Unexpected instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4496, __PRETTY_FUNCTION__)) | ||||||||
| 4494 | I.getOpcode() == Instruction::URem ||(((I.getOpcode() == Instruction::UDiv || I.getOpcode() == Instruction ::SDiv || I.getOpcode() == Instruction::URem || I.getOpcode() == Instruction::SRem) && "Unexpected instruction") ? static_cast<void> (0) : __assert_fail ("(I.getOpcode() == Instruction::UDiv || I.getOpcode() == Instruction::SDiv || I.getOpcode() == Instruction::URem || I.getOpcode() == Instruction::SRem) && \"Unexpected instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4496, __PRETTY_FUNCTION__)) | ||||||||
| 4495 | I.getOpcode() == Instruction::SRem) &&(((I.getOpcode() == Instruction::UDiv || I.getOpcode() == Instruction ::SDiv || I.getOpcode() == Instruction::URem || I.getOpcode() == Instruction::SRem) && "Unexpected instruction") ? static_cast<void> (0) : __assert_fail ("(I.getOpcode() == Instruction::UDiv || I.getOpcode() == Instruction::SDiv || I.getOpcode() == Instruction::URem || I.getOpcode() == Instruction::SRem) && \"Unexpected instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4496, __PRETTY_FUNCTION__)) | ||||||||
| 4496 | "Unexpected instruction")(((I.getOpcode() == Instruction::UDiv || I.getOpcode() == Instruction ::SDiv || I.getOpcode() == Instruction::URem || I.getOpcode() == Instruction::SRem) && "Unexpected instruction") ? static_cast<void> (0) : __assert_fail ("(I.getOpcode() == Instruction::UDiv || I.getOpcode() == Instruction::SDiv || I.getOpcode() == Instruction::URem || I.getOpcode() == Instruction::SRem) && \"Unexpected instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4496, __PRETTY_FUNCTION__)); | ||||||||
| 4497 | Value *Divisor = I.getOperand(1); | ||||||||
| 4498 | auto *CInt = dyn_cast<ConstantInt>(Divisor); | ||||||||
| 4499 | return !CInt || CInt->isZero(); | ||||||||
| 4500 | } | ||||||||
| 4501 | |||||||||
| 4502 | void InnerLoopVectorizer::widenInstruction(Instruction &I, VPUser &User, | ||||||||
| 4503 | VPTransformState &State) { | ||||||||
| 4504 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4504, __PRETTY_FUNCTION__)); | ||||||||
| 4505 | switch (I.getOpcode()) { | ||||||||
| 4506 | case Instruction::Call: | ||||||||
| 4507 | case Instruction::Br: | ||||||||
| 4508 | case Instruction::PHI: | ||||||||
| 4509 | case Instruction::GetElementPtr: | ||||||||
| 4510 | case Instruction::Select: | ||||||||
| 4511 | llvm_unreachable("This instruction is handled by a different recipe.")::llvm::llvm_unreachable_internal("This instruction is handled by a different recipe." , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4511); | ||||||||
| 4512 | case Instruction::UDiv: | ||||||||
| 4513 | case Instruction::SDiv: | ||||||||
| 4514 | case Instruction::SRem: | ||||||||
| 4515 | case Instruction::URem: | ||||||||
| 4516 | case Instruction::Add: | ||||||||
| 4517 | case Instruction::FAdd: | ||||||||
| 4518 | case Instruction::Sub: | ||||||||
| 4519 | case Instruction::FSub: | ||||||||
| 4520 | case Instruction::FNeg: | ||||||||
| 4521 | case Instruction::Mul: | ||||||||
| 4522 | case Instruction::FMul: | ||||||||
| 4523 | case Instruction::FDiv: | ||||||||
| 4524 | case Instruction::FRem: | ||||||||
| 4525 | case Instruction::Shl: | ||||||||
| 4526 | case Instruction::LShr: | ||||||||
| 4527 | case Instruction::AShr: | ||||||||
| 4528 | case Instruction::And: | ||||||||
| 4529 | case Instruction::Or: | ||||||||
| 4530 | case Instruction::Xor: { | ||||||||
| 4531 | // Just widen unops and binops. | ||||||||
| 4532 | setDebugLocFromInst(Builder, &I); | ||||||||
| 4533 | |||||||||
| 4534 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4535 | SmallVector<Value *, 2> Ops; | ||||||||
| 4536 | for (VPValue *VPOp : User.operands()) | ||||||||
| 4537 | Ops.push_back(State.get(VPOp, Part)); | ||||||||
| 4538 | |||||||||
| 4539 | Value *V = Builder.CreateNAryOp(I.getOpcode(), Ops); | ||||||||
| 4540 | |||||||||
| 4541 | if (auto *VecOp = dyn_cast<Instruction>(V)) | ||||||||
| 4542 | VecOp->copyIRFlags(&I); | ||||||||
| 4543 | |||||||||
| 4544 | // Use this vector value for all users of the original instruction. | ||||||||
| 4545 | VectorLoopValueMap.setVectorValue(&I, Part, V); | ||||||||
| 4546 | addMetadata(V, &I); | ||||||||
| 4547 | } | ||||||||
| 4548 | |||||||||
| 4549 | break; | ||||||||
| 4550 | } | ||||||||
| 4551 | case Instruction::ICmp: | ||||||||
| 4552 | case Instruction::FCmp: { | ||||||||
| 4553 | // Widen compares. Generate vector compares. | ||||||||
| 4554 | bool FCmp = (I.getOpcode() == Instruction::FCmp); | ||||||||
| 4555 | auto *Cmp = cast<CmpInst>(&I); | ||||||||
| 4556 | setDebugLocFromInst(Builder, Cmp); | ||||||||
| 4557 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4558 | Value *A = State.get(User.getOperand(0), Part); | ||||||||
| 4559 | Value *B = State.get(User.getOperand(1), Part); | ||||||||
| 4560 | Value *C = nullptr; | ||||||||
| 4561 | if (FCmp) { | ||||||||
| 4562 | // Propagate fast math flags. | ||||||||
| 4563 | IRBuilder<>::FastMathFlagGuard FMFG(Builder); | ||||||||
| 4564 | Builder.setFastMathFlags(Cmp->getFastMathFlags()); | ||||||||
| 4565 | C = Builder.CreateFCmp(Cmp->getPredicate(), A, B); | ||||||||
| 4566 | } else { | ||||||||
| 4567 | C = Builder.CreateICmp(Cmp->getPredicate(), A, B); | ||||||||
| 4568 | } | ||||||||
| 4569 | VectorLoopValueMap.setVectorValue(&I, Part, C); | ||||||||
| 4570 | addMetadata(C, &I); | ||||||||
| 4571 | } | ||||||||
| 4572 | |||||||||
| 4573 | break; | ||||||||
| 4574 | } | ||||||||
| 4575 | |||||||||
| 4576 | case Instruction::ZExt: | ||||||||
| 4577 | case Instruction::SExt: | ||||||||
| 4578 | case Instruction::FPToUI: | ||||||||
| 4579 | case Instruction::FPToSI: | ||||||||
| 4580 | case Instruction::FPExt: | ||||||||
| 4581 | case Instruction::PtrToInt: | ||||||||
| 4582 | case Instruction::IntToPtr: | ||||||||
| 4583 | case Instruction::SIToFP: | ||||||||
| 4584 | case Instruction::UIToFP: | ||||||||
| 4585 | case Instruction::Trunc: | ||||||||
| 4586 | case Instruction::FPTrunc: | ||||||||
| 4587 | case Instruction::BitCast: { | ||||||||
| 4588 | auto *CI = cast<CastInst>(&I); | ||||||||
| 4589 | setDebugLocFromInst(Builder, CI); | ||||||||
| 4590 | |||||||||
| 4591 | /// Vectorize casts. | ||||||||
| 4592 | assert(!VF.isScalable() && "VF is assumed to be non scalable.")((!VF.isScalable() && "VF is assumed to be non scalable." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"VF is assumed to be non scalable.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4592, __PRETTY_FUNCTION__)); | ||||||||
| 4593 | Type *DestTy = | ||||||||
| 4594 | (VF.isScalar()) ? CI->getType() : VectorType::get(CI->getType(), VF); | ||||||||
| 4595 | |||||||||
| 4596 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4597 | Value *A = State.get(User.getOperand(0), Part); | ||||||||
| 4598 | Value *Cast = Builder.CreateCast(CI->getOpcode(), A, DestTy); | ||||||||
| 4599 | VectorLoopValueMap.setVectorValue(&I, Part, Cast); | ||||||||
| 4600 | addMetadata(Cast, &I); | ||||||||
| 4601 | } | ||||||||
| 4602 | break; | ||||||||
| 4603 | } | ||||||||
| 4604 | default: | ||||||||
| 4605 | // This instruction is not vectorized by simple widening. | ||||||||
| 4606 | LLVM_DEBUG(dbgs() << "LV: Found an unhandled instruction: " << I)do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found an unhandled instruction: " << I; } } while (false); | ||||||||
| 4607 | llvm_unreachable("Unhandled instruction!")::llvm::llvm_unreachable_internal("Unhandled instruction!", "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4607); | ||||||||
| 4608 | } // end of switch. | ||||||||
| 4609 | } | ||||||||
| 4610 | |||||||||
| 4611 | void InnerLoopVectorizer::widenCallInstruction(CallInst &I, VPUser &ArgOperands, | ||||||||
| 4612 | VPTransformState &State) { | ||||||||
| 4613 | assert(!isa<DbgInfoIntrinsic>(I) &&((!isa<DbgInfoIntrinsic>(I) && "DbgInfoIntrinsic should have been dropped during VPlan construction" ) ? static_cast<void> (0) : __assert_fail ("!isa<DbgInfoIntrinsic>(I) && \"DbgInfoIntrinsic should have been dropped during VPlan construction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4614, __PRETTY_FUNCTION__)) | ||||||||
| 4614 | "DbgInfoIntrinsic should have been dropped during VPlan construction")((!isa<DbgInfoIntrinsic>(I) && "DbgInfoIntrinsic should have been dropped during VPlan construction" ) ? static_cast<void> (0) : __assert_fail ("!isa<DbgInfoIntrinsic>(I) && \"DbgInfoIntrinsic should have been dropped during VPlan construction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4614, __PRETTY_FUNCTION__)); | ||||||||
| 4615 | setDebugLocFromInst(Builder, &I); | ||||||||
| 4616 | |||||||||
| 4617 | Module *M = I.getParent()->getParent()->getParent(); | ||||||||
| 4618 | auto *CI = cast<CallInst>(&I); | ||||||||
| 4619 | |||||||||
| 4620 | SmallVector<Type *, 4> Tys; | ||||||||
| 4621 | for (Value *ArgOperand : CI->arg_operands()) | ||||||||
| 4622 | Tys.push_back(ToVectorTy(ArgOperand->getType(), VF.getKnownMinValue())); | ||||||||
| 4623 | |||||||||
| 4624 | Intrinsic::ID ID = getVectorIntrinsicIDForCall(CI, TLI); | ||||||||
| 4625 | |||||||||
| 4626 | // The flag shows whether we use Intrinsic or a usual Call for vectorized | ||||||||
| 4627 | // version of the instruction. | ||||||||
| 4628 | // Is it beneficial to perform intrinsic call compared to lib call? | ||||||||
| 4629 | bool NeedToScalarize = false; | ||||||||
| 4630 | unsigned CallCost = Cost->getVectorCallCost(CI, VF, NeedToScalarize); | ||||||||
| 4631 | bool UseVectorIntrinsic = | ||||||||
| 4632 | ID && Cost->getVectorIntrinsicCost(CI, VF) <= CallCost; | ||||||||
| 4633 | assert((UseVectorIntrinsic || !NeedToScalarize) &&(((UseVectorIntrinsic || !NeedToScalarize) && "Instruction should be scalarized elsewhere." ) ? static_cast<void> (0) : __assert_fail ("(UseVectorIntrinsic || !NeedToScalarize) && \"Instruction should be scalarized elsewhere.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4634, __PRETTY_FUNCTION__)) | ||||||||
| 4634 | "Instruction should be scalarized elsewhere.")(((UseVectorIntrinsic || !NeedToScalarize) && "Instruction should be scalarized elsewhere." ) ? static_cast<void> (0) : __assert_fail ("(UseVectorIntrinsic || !NeedToScalarize) && \"Instruction should be scalarized elsewhere.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4634, __PRETTY_FUNCTION__)); | ||||||||
| 4635 | |||||||||
| 4636 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4637 | SmallVector<Value *, 4> Args; | ||||||||
| 4638 | for (auto &I : enumerate(ArgOperands.operands())) { | ||||||||
| 4639 | // Some intrinsics have a scalar argument - don't replace it with a | ||||||||
| 4640 | // vector. | ||||||||
| 4641 | Value *Arg; | ||||||||
| 4642 | if (!UseVectorIntrinsic || !hasVectorInstrinsicScalarOpd(ID, I.index())) | ||||||||
| 4643 | Arg = State.get(I.value(), Part); | ||||||||
| 4644 | else | ||||||||
| 4645 | Arg = State.get(I.value(), {0, 0}); | ||||||||
| 4646 | Args.push_back(Arg); | ||||||||
| 4647 | } | ||||||||
| 4648 | |||||||||
| 4649 | Function *VectorF; | ||||||||
| 4650 | if (UseVectorIntrinsic) { | ||||||||
| 4651 | // Use vector version of the intrinsic. | ||||||||
| 4652 | Type *TysForDecl[] = {CI->getType()}; | ||||||||
| 4653 | if (VF.isVector()) { | ||||||||
| 4654 | assert(!VF.isScalable() && "VF is assumed to be non scalable.")((!VF.isScalable() && "VF is assumed to be non scalable." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"VF is assumed to be non scalable.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4654, __PRETTY_FUNCTION__)); | ||||||||
| 4655 | TysForDecl[0] = VectorType::get(CI->getType()->getScalarType(), VF); | ||||||||
| 4656 | } | ||||||||
| 4657 | VectorF = Intrinsic::getDeclaration(M, ID, TysForDecl); | ||||||||
| 4658 | assert(VectorF && "Can't retrieve vector intrinsic.")((VectorF && "Can't retrieve vector intrinsic.") ? static_cast <void> (0) : __assert_fail ("VectorF && \"Can't retrieve vector intrinsic.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4658, __PRETTY_FUNCTION__)); | ||||||||
| 4659 | } else { | ||||||||
| 4660 | // Use vector version of the function call. | ||||||||
| 4661 | const VFShape Shape = VFShape::get(*CI, VF, false /*HasGlobalPred*/); | ||||||||
| 4662 | #ifndef NDEBUG | ||||||||
| 4663 | assert(VFDatabase(*CI).getVectorizedFunction(Shape) != nullptr &&((VFDatabase(*CI).getVectorizedFunction(Shape) != nullptr && "Can't create vector function.") ? static_cast<void> ( 0) : __assert_fail ("VFDatabase(*CI).getVectorizedFunction(Shape) != nullptr && \"Can't create vector function.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4664, __PRETTY_FUNCTION__)) | ||||||||
| 4664 | "Can't create vector function.")((VFDatabase(*CI).getVectorizedFunction(Shape) != nullptr && "Can't create vector function.") ? static_cast<void> ( 0) : __assert_fail ("VFDatabase(*CI).getVectorizedFunction(Shape) != nullptr && \"Can't create vector function.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4664, __PRETTY_FUNCTION__)); | ||||||||
| 4665 | #endif | ||||||||
| 4666 | VectorF = VFDatabase(*CI).getVectorizedFunction(Shape); | ||||||||
| 4667 | } | ||||||||
| 4668 | SmallVector<OperandBundleDef, 1> OpBundles; | ||||||||
| 4669 | CI->getOperandBundlesAsDefs(OpBundles); | ||||||||
| 4670 | CallInst *V = Builder.CreateCall(VectorF, Args, OpBundles); | ||||||||
| 4671 | |||||||||
| 4672 | if (isa<FPMathOperator>(V)) | ||||||||
| 4673 | V->copyFastMathFlags(CI); | ||||||||
| 4674 | |||||||||
| 4675 | VectorLoopValueMap.setVectorValue(&I, Part, V); | ||||||||
| 4676 | addMetadata(V, &I); | ||||||||
| 4677 | } | ||||||||
| 4678 | } | ||||||||
| 4679 | |||||||||
| 4680 | void InnerLoopVectorizer::widenSelectInstruction(SelectInst &I, | ||||||||
| 4681 | VPUser &Operands, | ||||||||
| 4682 | bool InvariantCond, | ||||||||
| 4683 | VPTransformState &State) { | ||||||||
| 4684 | setDebugLocFromInst(Builder, &I); | ||||||||
| 4685 | |||||||||
| 4686 | // The condition can be loop invariant but still defined inside the | ||||||||
| 4687 | // loop. This means that we can't just use the original 'cond' value. | ||||||||
| 4688 | // We have to take the 'vectorized' value and pick the first lane. | ||||||||
| 4689 | // Instcombine will make this a no-op. | ||||||||
| 4690 | auto *InvarCond = | ||||||||
| 4691 | InvariantCond ? State.get(Operands.getOperand(0), {0, 0}) : nullptr; | ||||||||
| 4692 | |||||||||
| 4693 | for (unsigned Part = 0; Part < UF; ++Part) { | ||||||||
| 4694 | Value *Cond = | ||||||||
| 4695 | InvarCond ? InvarCond : State.get(Operands.getOperand(0), Part); | ||||||||
| 4696 | Value *Op0 = State.get(Operands.getOperand(1), Part); | ||||||||
| 4697 | Value *Op1 = State.get(Operands.getOperand(2), Part); | ||||||||
| 4698 | Value *Sel = Builder.CreateSelect(Cond, Op0, Op1); | ||||||||
| 4699 | VectorLoopValueMap.setVectorValue(&I, Part, Sel); | ||||||||
| 4700 | addMetadata(Sel, &I); | ||||||||
| 4701 | } | ||||||||
| 4702 | } | ||||||||
| 4703 | |||||||||
| 4704 | void LoopVectorizationCostModel::collectLoopScalars(ElementCount VF) { | ||||||||
| 4705 | // We should not collect Scalars more than once per VF. Right now, this | ||||||||
| 4706 | // function is called from collectUniformsAndScalars(), which already does | ||||||||
| 4707 | // this check. Collecting Scalars for VF=1 does not make any sense. | ||||||||
| 4708 | assert(VF.isVector() && Scalars.find(VF) == Scalars.end() &&((VF.isVector() && Scalars.find(VF) == Scalars.end() && "This function should not be visited twice for the same VF") ? static_cast<void> (0) : __assert_fail ("VF.isVector() && Scalars.find(VF) == Scalars.end() && \"This function should not be visited twice for the same VF\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4709, __PRETTY_FUNCTION__)) | ||||||||
| 4709 | "This function should not be visited twice for the same VF")((VF.isVector() && Scalars.find(VF) == Scalars.end() && "This function should not be visited twice for the same VF") ? static_cast<void> (0) : __assert_fail ("VF.isVector() && Scalars.find(VF) == Scalars.end() && \"This function should not be visited twice for the same VF\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4709, __PRETTY_FUNCTION__)); | ||||||||
| 4710 | |||||||||
| 4711 | SmallSetVector<Instruction *, 8> Worklist; | ||||||||
| 4712 | |||||||||
| 4713 | // These sets are used to seed the analysis with pointers used by memory | ||||||||
| 4714 | // accesses that will remain scalar. | ||||||||
| 4715 | SmallSetVector<Instruction *, 8> ScalarPtrs; | ||||||||
| 4716 | SmallPtrSet<Instruction *, 8> PossibleNonScalarPtrs; | ||||||||
| 4717 | auto *Latch = TheLoop->getLoopLatch(); | ||||||||
| 4718 | |||||||||
| 4719 | // A helper that returns true if the use of Ptr by MemAccess will be scalar. | ||||||||
| 4720 | // The pointer operands of loads and stores will be scalar as long as the | ||||||||
| 4721 | // memory access is not a gather or scatter operation. The value operand of a | ||||||||
| 4722 | // store will remain scalar if the store is scalarized. | ||||||||
| 4723 | auto isScalarUse = [&](Instruction *MemAccess, Value *Ptr) { | ||||||||
| 4724 | InstWidening WideningDecision = getWideningDecision(MemAccess, VF); | ||||||||
| 4725 | assert(WideningDecision != CM_Unknown &&((WideningDecision != CM_Unknown && "Widening decision should be ready at this moment" ) ? static_cast<void> (0) : __assert_fail ("WideningDecision != CM_Unknown && \"Widening decision should be ready at this moment\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4726, __PRETTY_FUNCTION__)) | ||||||||
| 4726 | "Widening decision should be ready at this moment")((WideningDecision != CM_Unknown && "Widening decision should be ready at this moment" ) ? static_cast<void> (0) : __assert_fail ("WideningDecision != CM_Unknown && \"Widening decision should be ready at this moment\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4726, __PRETTY_FUNCTION__)); | ||||||||
| 4727 | if (auto *Store = dyn_cast<StoreInst>(MemAccess)) | ||||||||
| 4728 | if (Ptr == Store->getValueOperand()) | ||||||||
| 4729 | return WideningDecision == CM_Scalarize; | ||||||||
| 4730 | assert(Ptr == getLoadStorePointerOperand(MemAccess) &&((Ptr == getLoadStorePointerOperand(MemAccess) && "Ptr is neither a value or pointer operand" ) ? static_cast<void> (0) : __assert_fail ("Ptr == getLoadStorePointerOperand(MemAccess) && \"Ptr is neither a value or pointer operand\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4731, __PRETTY_FUNCTION__)) | ||||||||
| 4731 | "Ptr is neither a value or pointer operand")((Ptr == getLoadStorePointerOperand(MemAccess) && "Ptr is neither a value or pointer operand" ) ? static_cast<void> (0) : __assert_fail ("Ptr == getLoadStorePointerOperand(MemAccess) && \"Ptr is neither a value or pointer operand\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4731, __PRETTY_FUNCTION__)); | ||||||||
| 4732 | return WideningDecision != CM_GatherScatter; | ||||||||
| 4733 | }; | ||||||||
| 4734 | |||||||||
| 4735 | // A helper that returns true if the given value is a bitcast or | ||||||||
| 4736 | // getelementptr instruction contained in the loop. | ||||||||
| 4737 | auto isLoopVaryingBitCastOrGEP = [&](Value *V) { | ||||||||
| 4738 | return ((isa<BitCastInst>(V) && V->getType()->isPointerTy()) || | ||||||||
| 4739 | isa<GetElementPtrInst>(V)) && | ||||||||
| 4740 | !TheLoop->isLoopInvariant(V); | ||||||||
| 4741 | }; | ||||||||
| 4742 | |||||||||
| 4743 | auto isScalarPtrInduction = [&](Instruction *MemAccess, Value *Ptr) { | ||||||||
| 4744 | if (!isa<PHINode>(Ptr) || | ||||||||
| 4745 | !Legal->getInductionVars().count(cast<PHINode>(Ptr))) | ||||||||
| 4746 | return false; | ||||||||
| 4747 | auto &Induction = Legal->getInductionVars()[cast<PHINode>(Ptr)]; | ||||||||
| 4748 | if (Induction.getKind() != InductionDescriptor::IK_PtrInduction) | ||||||||
| 4749 | return false; | ||||||||
| 4750 | return isScalarUse(MemAccess, Ptr); | ||||||||
| 4751 | }; | ||||||||
| 4752 | |||||||||
| 4753 | // A helper that evaluates a memory access's use of a pointer. If the | ||||||||
| 4754 | // pointer is actually the pointer induction of a loop, it is being | ||||||||
| 4755 | // inserted into Worklist. If the use will be a scalar use, and the | ||||||||
| 4756 | // pointer is only used by memory accesses, we place the pointer in | ||||||||
| 4757 | // ScalarPtrs. Otherwise, the pointer is placed in PossibleNonScalarPtrs. | ||||||||
| 4758 | auto evaluatePtrUse = [&](Instruction *MemAccess, Value *Ptr) { | ||||||||
| 4759 | if (isScalarPtrInduction(MemAccess, Ptr)) { | ||||||||
| 4760 | Worklist.insert(cast<Instruction>(Ptr)); | ||||||||
| 4761 | Instruction *Update = cast<Instruction>( | ||||||||
| 4762 | cast<PHINode>(Ptr)->getIncomingValueForBlock(Latch)); | ||||||||
| 4763 | Worklist.insert(Update); | ||||||||
| 4764 | LLVM_DEBUG(dbgs() << "LV: Found new scalar instruction: " << *Ptrdo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found new scalar instruction: " << *Ptr << "\n"; } } while (false) | ||||||||
| 4765 | << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found new scalar instruction: " << *Ptr << "\n"; } } while (false); | ||||||||
| 4766 | LLVM_DEBUG(dbgs() << "LV: Found new scalar instruction: " << *Updatedo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found new scalar instruction: " << *Update << "\n"; } } while (false) | ||||||||
| 4767 | << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found new scalar instruction: " << *Update << "\n"; } } while (false); | ||||||||
| 4768 | return; | ||||||||
| 4769 | } | ||||||||
| 4770 | // We only care about bitcast and getelementptr instructions contained in | ||||||||
| 4771 | // the loop. | ||||||||
| 4772 | if (!isLoopVaryingBitCastOrGEP(Ptr)) | ||||||||
| 4773 | return; | ||||||||
| 4774 | |||||||||
| 4775 | // If the pointer has already been identified as scalar (e.g., if it was | ||||||||
| 4776 | // also identified as uniform), there's nothing to do. | ||||||||
| 4777 | auto *I = cast<Instruction>(Ptr); | ||||||||
| 4778 | if (Worklist.count(I)) | ||||||||
| 4779 | return; | ||||||||
| 4780 | |||||||||
| 4781 | // If the use of the pointer will be a scalar use, and all users of the | ||||||||
| 4782 | // pointer are memory accesses, place the pointer in ScalarPtrs. Otherwise, | ||||||||
| 4783 | // place the pointer in PossibleNonScalarPtrs. | ||||||||
| 4784 | if (isScalarUse(MemAccess, Ptr) && llvm::all_of(I->users(), [&](User *U) { | ||||||||
| 4785 | return isa<LoadInst>(U) || isa<StoreInst>(U); | ||||||||
| 4786 | })) | ||||||||
| 4787 | ScalarPtrs.insert(I); | ||||||||
| 4788 | else | ||||||||
| 4789 | PossibleNonScalarPtrs.insert(I); | ||||||||
| 4790 | }; | ||||||||
| 4791 | |||||||||
| 4792 | // We seed the scalars analysis with three classes of instructions: (1) | ||||||||
| 4793 | // instructions marked uniform-after-vectorization and (2) bitcast, | ||||||||
| 4794 | // getelementptr and (pointer) phi instructions used by memory accesses | ||||||||
| 4795 | // requiring a scalar use. | ||||||||
| 4796 | // | ||||||||
| 4797 | // (1) Add to the worklist all instructions that have been identified as | ||||||||
| 4798 | // uniform-after-vectorization. | ||||||||
| 4799 | Worklist.insert(Uniforms[VF].begin(), Uniforms[VF].end()); | ||||||||
| 4800 | |||||||||
| 4801 | // (2) Add to the worklist all bitcast and getelementptr instructions used by | ||||||||
| 4802 | // memory accesses requiring a scalar use. The pointer operands of loads and | ||||||||
| 4803 | // stores will be scalar as long as the memory accesses is not a gather or | ||||||||
| 4804 | // scatter operation. The value operand of a store will remain scalar if the | ||||||||
| 4805 | // store is scalarized. | ||||||||
| 4806 | for (auto *BB : TheLoop->blocks()) | ||||||||
| 4807 | for (auto &I : *BB) { | ||||||||
| 4808 | if (auto *Load = dyn_cast<LoadInst>(&I)) { | ||||||||
| 4809 | evaluatePtrUse(Load, Load->getPointerOperand()); | ||||||||
| 4810 | } else if (auto *Store = dyn_cast<StoreInst>(&I)) { | ||||||||
| 4811 | evaluatePtrUse(Store, Store->getPointerOperand()); | ||||||||
| 4812 | evaluatePtrUse(Store, Store->getValueOperand()); | ||||||||
| 4813 | } | ||||||||
| 4814 | } | ||||||||
| 4815 | for (auto *I : ScalarPtrs) | ||||||||
| 4816 | if (!PossibleNonScalarPtrs.count(I)) { | ||||||||
| 4817 | LLVM_DEBUG(dbgs() << "LV: Found scalar instruction: " << *I << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found scalar instruction: " << *I << "\n"; } } while (false); | ||||||||
| 4818 | Worklist.insert(I); | ||||||||
| 4819 | } | ||||||||
| 4820 | |||||||||
| 4821 | // Insert the forced scalars. | ||||||||
| 4822 | // FIXME: Currently widenPHIInstruction() often creates a dead vector | ||||||||
| 4823 | // induction variable when the PHI user is scalarized. | ||||||||
| 4824 | auto ForcedScalar = ForcedScalars.find(VF); | ||||||||
| 4825 | if (ForcedScalar != ForcedScalars.end()) | ||||||||
| 4826 | for (auto *I : ForcedScalar->second) | ||||||||
| 4827 | Worklist.insert(I); | ||||||||
| 4828 | |||||||||
| 4829 | // Expand the worklist by looking through any bitcasts and getelementptr | ||||||||
| 4830 | // instructions we've already identified as scalar. This is similar to the | ||||||||
| 4831 | // expansion step in collectLoopUniforms(); however, here we're only | ||||||||
| 4832 | // expanding to include additional bitcasts and getelementptr instructions. | ||||||||
| 4833 | unsigned Idx = 0; | ||||||||
| 4834 | while (Idx != Worklist.size()) { | ||||||||
| 4835 | Instruction *Dst = Worklist[Idx++]; | ||||||||
| 4836 | if (!isLoopVaryingBitCastOrGEP(Dst->getOperand(0))) | ||||||||
| 4837 | continue; | ||||||||
| 4838 | auto *Src = cast<Instruction>(Dst->getOperand(0)); | ||||||||
| 4839 | if (llvm::all_of(Src->users(), [&](User *U) -> bool { | ||||||||
| 4840 | auto *J = cast<Instruction>(U); | ||||||||
| 4841 | return !TheLoop->contains(J) || Worklist.count(J) || | ||||||||
| 4842 | ((isa<LoadInst>(J) || isa<StoreInst>(J)) && | ||||||||
| 4843 | isScalarUse(J, Src)); | ||||||||
| 4844 | })) { | ||||||||
| 4845 | Worklist.insert(Src); | ||||||||
| 4846 | LLVM_DEBUG(dbgs() << "LV: Found scalar instruction: " << *Src << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found scalar instruction: " << *Src << "\n"; } } while (false); | ||||||||
| 4847 | } | ||||||||
| 4848 | } | ||||||||
| 4849 | |||||||||
| 4850 | // An induction variable will remain scalar if all users of the induction | ||||||||
| 4851 | // variable and induction variable update remain scalar. | ||||||||
| 4852 | for (auto &Induction : Legal->getInductionVars()) { | ||||||||
| 4853 | auto *Ind = Induction.first; | ||||||||
| 4854 | auto *IndUpdate = cast<Instruction>(Ind->getIncomingValueForBlock(Latch)); | ||||||||
| 4855 | |||||||||
| 4856 | // If tail-folding is applied, the primary induction variable will be used | ||||||||
| 4857 | // to feed a vector compare. | ||||||||
| 4858 | if (Ind == Legal->getPrimaryInduction() && foldTailByMasking()) | ||||||||
| 4859 | continue; | ||||||||
| 4860 | |||||||||
| 4861 | // Determine if all users of the induction variable are scalar after | ||||||||
| 4862 | // vectorization. | ||||||||
| 4863 | auto ScalarInd = llvm::all_of(Ind->users(), [&](User *U) -> bool { | ||||||||
| 4864 | auto *I = cast<Instruction>(U); | ||||||||
| 4865 | return I == IndUpdate || !TheLoop->contains(I) || Worklist.count(I); | ||||||||
| 4866 | }); | ||||||||
| 4867 | if (!ScalarInd) | ||||||||
| 4868 | continue; | ||||||||
| 4869 | |||||||||
| 4870 | // Determine if all users of the induction variable update instruction are | ||||||||
| 4871 | // scalar after vectorization. | ||||||||
| 4872 | auto ScalarIndUpdate = | ||||||||
| 4873 | llvm::all_of(IndUpdate->users(), [&](User *U) -> bool { | ||||||||
| 4874 | auto *I = cast<Instruction>(U); | ||||||||
| 4875 | return I == Ind || !TheLoop->contains(I) || Worklist.count(I); | ||||||||
| 4876 | }); | ||||||||
| 4877 | if (!ScalarIndUpdate) | ||||||||
| 4878 | continue; | ||||||||
| 4879 | |||||||||
| 4880 | // The induction variable and its update instruction will remain scalar. | ||||||||
| 4881 | Worklist.insert(Ind); | ||||||||
| 4882 | Worklist.insert(IndUpdate); | ||||||||
| 4883 | LLVM_DEBUG(dbgs() << "LV: Found scalar instruction: " << *Ind << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found scalar instruction: " << *Ind << "\n"; } } while (false); | ||||||||
| 4884 | LLVM_DEBUG(dbgs() << "LV: Found scalar instruction: " << *IndUpdatedo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found scalar instruction: " << *IndUpdate << "\n"; } } while (false) | ||||||||
| 4885 | << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found scalar instruction: " << *IndUpdate << "\n"; } } while (false); | ||||||||
| 4886 | } | ||||||||
| 4887 | |||||||||
| 4888 | Scalars[VF].insert(Worklist.begin(), Worklist.end()); | ||||||||
| 4889 | } | ||||||||
| 4890 | |||||||||
| 4891 | bool LoopVectorizationCostModel::isScalarWithPredication(Instruction *I, | ||||||||
| 4892 | ElementCount VF) { | ||||||||
| 4893 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4893, __PRETTY_FUNCTION__)); | ||||||||
| 4894 | if (!blockNeedsPredication(I->getParent())) | ||||||||
| 4895 | return false; | ||||||||
| 4896 | switch(I->getOpcode()) { | ||||||||
| 4897 | default: | ||||||||
| 4898 | break; | ||||||||
| 4899 | case Instruction::Load: | ||||||||
| 4900 | case Instruction::Store: { | ||||||||
| 4901 | if (!Legal->isMaskRequired(I)) | ||||||||
| 4902 | return false; | ||||||||
| 4903 | auto *Ptr = getLoadStorePointerOperand(I); | ||||||||
| 4904 | auto *Ty = getMemInstValueType(I); | ||||||||
| 4905 | // We have already decided how to vectorize this instruction, get that | ||||||||
| 4906 | // result. | ||||||||
| 4907 | if (VF.isVector()) { | ||||||||
| 4908 | InstWidening WideningDecision = getWideningDecision(I, VF); | ||||||||
| 4909 | assert(WideningDecision != CM_Unknown &&((WideningDecision != CM_Unknown && "Widening decision should be ready at this moment" ) ? static_cast<void> (0) : __assert_fail ("WideningDecision != CM_Unknown && \"Widening decision should be ready at this moment\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4910, __PRETTY_FUNCTION__)) | ||||||||
| 4910 | "Widening decision should be ready at this moment")((WideningDecision != CM_Unknown && "Widening decision should be ready at this moment" ) ? static_cast<void> (0) : __assert_fail ("WideningDecision != CM_Unknown && \"Widening decision should be ready at this moment\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4910, __PRETTY_FUNCTION__)); | ||||||||
| 4911 | return WideningDecision == CM_Scalarize; | ||||||||
| 4912 | } | ||||||||
| 4913 | const Align Alignment = getLoadStoreAlignment(I); | ||||||||
| 4914 | return isa<LoadInst>(I) ? !(isLegalMaskedLoad(Ty, Ptr, Alignment) || | ||||||||
| 4915 | isLegalMaskedGather(Ty, Alignment)) | ||||||||
| 4916 | : !(isLegalMaskedStore(Ty, Ptr, Alignment) || | ||||||||
| 4917 | isLegalMaskedScatter(Ty, Alignment)); | ||||||||
| 4918 | } | ||||||||
| 4919 | case Instruction::UDiv: | ||||||||
| 4920 | case Instruction::SDiv: | ||||||||
| 4921 | case Instruction::SRem: | ||||||||
| 4922 | case Instruction::URem: | ||||||||
| 4923 | return mayDivideByZero(*I); | ||||||||
| 4924 | } | ||||||||
| 4925 | return false; | ||||||||
| 4926 | } | ||||||||
| 4927 | |||||||||
| 4928 | bool LoopVectorizationCostModel::interleavedAccessCanBeWidened( | ||||||||
| 4929 | Instruction *I, ElementCount VF) { | ||||||||
| 4930 | assert(isAccessInterleaved(I) && "Expecting interleaved access.")((isAccessInterleaved(I) && "Expecting interleaved access." ) ? static_cast<void> (0) : __assert_fail ("isAccessInterleaved(I) && \"Expecting interleaved access.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4930, __PRETTY_FUNCTION__)); | ||||||||
| 4931 | assert(getWideningDecision(I, VF) == CM_Unknown &&((getWideningDecision(I, VF) == CM_Unknown && "Decision should not be set yet." ) ? static_cast<void> (0) : __assert_fail ("getWideningDecision(I, VF) == CM_Unknown && \"Decision should not be set yet.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4932, __PRETTY_FUNCTION__)) | ||||||||
| 4932 | "Decision should not be set yet.")((getWideningDecision(I, VF) == CM_Unknown && "Decision should not be set yet." ) ? static_cast<void> (0) : __assert_fail ("getWideningDecision(I, VF) == CM_Unknown && \"Decision should not be set yet.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4932, __PRETTY_FUNCTION__)); | ||||||||
| 4933 | auto *Group = getInterleavedAccessGroup(I); | ||||||||
| 4934 | assert(Group && "Must have a group.")((Group && "Must have a group.") ? static_cast<void > (0) : __assert_fail ("Group && \"Must have a group.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4934, __PRETTY_FUNCTION__)); | ||||||||
| 4935 | |||||||||
| 4936 | // If the instruction's allocated size doesn't equal it's type size, it | ||||||||
| 4937 | // requires padding and will be scalarized. | ||||||||
| 4938 | auto &DL = I->getModule()->getDataLayout(); | ||||||||
| 4939 | auto *ScalarTy = getMemInstValueType(I); | ||||||||
| 4940 | if (hasIrregularType(ScalarTy, DL, VF)) | ||||||||
| 4941 | return false; | ||||||||
| 4942 | |||||||||
| 4943 | // Check if masking is required. | ||||||||
| 4944 | // A Group may need masking for one of two reasons: it resides in a block that | ||||||||
| 4945 | // needs predication, or it was decided to use masking to deal with gaps. | ||||||||
| 4946 | bool PredicatedAccessRequiresMasking = | ||||||||
| 4947 | Legal->blockNeedsPredication(I->getParent()) && Legal->isMaskRequired(I); | ||||||||
| 4948 | bool AccessWithGapsRequiresMasking = | ||||||||
| 4949 | Group->requiresScalarEpilogue() && !isScalarEpilogueAllowed(); | ||||||||
| 4950 | if (!PredicatedAccessRequiresMasking && !AccessWithGapsRequiresMasking) | ||||||||
| 4951 | return true; | ||||||||
| 4952 | |||||||||
| 4953 | // If masked interleaving is required, we expect that the user/target had | ||||||||
| 4954 | // enabled it, because otherwise it either wouldn't have been created or | ||||||||
| 4955 | // it should have been invalidated by the CostModel. | ||||||||
| 4956 | assert(useMaskedInterleavedAccesses(TTI) &&((useMaskedInterleavedAccesses(TTI) && "Masked interleave-groups for predicated accesses are not enabled." ) ? static_cast<void> (0) : __assert_fail ("useMaskedInterleavedAccesses(TTI) && \"Masked interleave-groups for predicated accesses are not enabled.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4957, __PRETTY_FUNCTION__)) | ||||||||
| 4957 | "Masked interleave-groups for predicated accesses are not enabled.")((useMaskedInterleavedAccesses(TTI) && "Masked interleave-groups for predicated accesses are not enabled." ) ? static_cast<void> (0) : __assert_fail ("useMaskedInterleavedAccesses(TTI) && \"Masked interleave-groups for predicated accesses are not enabled.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4957, __PRETTY_FUNCTION__)); | ||||||||
| 4958 | |||||||||
| 4959 | auto *Ty = getMemInstValueType(I); | ||||||||
| 4960 | const Align Alignment = getLoadStoreAlignment(I); | ||||||||
| 4961 | return isa<LoadInst>(I) ? TTI.isLegalMaskedLoad(Ty, Alignment) | ||||||||
| 4962 | : TTI.isLegalMaskedStore(Ty, Alignment); | ||||||||
| 4963 | } | ||||||||
| 4964 | |||||||||
| 4965 | bool LoopVectorizationCostModel::memoryInstructionCanBeWidened( | ||||||||
| 4966 | Instruction *I, ElementCount VF) { | ||||||||
| 4967 | // Get and ensure we have a valid memory instruction. | ||||||||
| 4968 | LoadInst *LI = dyn_cast<LoadInst>(I); | ||||||||
| 4969 | StoreInst *SI = dyn_cast<StoreInst>(I); | ||||||||
| 4970 | assert((LI || SI) && "Invalid memory instruction")(((LI || SI) && "Invalid memory instruction") ? static_cast <void> (0) : __assert_fail ("(LI || SI) && \"Invalid memory instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 4970, __PRETTY_FUNCTION__)); | ||||||||
| 4971 | |||||||||
| 4972 | auto *Ptr = getLoadStorePointerOperand(I); | ||||||||
| 4973 | |||||||||
| 4974 | // In order to be widened, the pointer should be consecutive, first of all. | ||||||||
| 4975 | if (!Legal->isConsecutivePtr(Ptr)) | ||||||||
| 4976 | return false; | ||||||||
| 4977 | |||||||||
| 4978 | // If the instruction is a store located in a predicated block, it will be | ||||||||
| 4979 | // scalarized. | ||||||||
| 4980 | if (isScalarWithPredication(I)) | ||||||||
| 4981 | return false; | ||||||||
| 4982 | |||||||||
| 4983 | // If the instruction's allocated size doesn't equal it's type size, it | ||||||||
| 4984 | // requires padding and will be scalarized. | ||||||||
| 4985 | auto &DL = I->getModule()->getDataLayout(); | ||||||||
| 4986 | auto *ScalarTy = LI ? LI->getType() : SI->getValueOperand()->getType(); | ||||||||
| 4987 | if (hasIrregularType(ScalarTy, DL, VF)) | ||||||||
| 4988 | return false; | ||||||||
| 4989 | |||||||||
| 4990 | return true; | ||||||||
| 4991 | } | ||||||||
| 4992 | |||||||||
| 4993 | void LoopVectorizationCostModel::collectLoopUniforms(ElementCount VF) { | ||||||||
| 4994 | // We should not collect Uniforms more than once per VF. Right now, | ||||||||
| 4995 | // this function is called from collectUniformsAndScalars(), which | ||||||||
| 4996 | // already does this check. Collecting Uniforms for VF=1 does not make any | ||||||||
| 4997 | // sense. | ||||||||
| 4998 | |||||||||
| 4999 | assert(VF.isVector() && Uniforms.find(VF) == Uniforms.end() &&((VF.isVector() && Uniforms.find(VF) == Uniforms.end( ) && "This function should not be visited twice for the same VF" ) ? static_cast<void> (0) : __assert_fail ("VF.isVector() && Uniforms.find(VF) == Uniforms.end() && \"This function should not be visited twice for the same VF\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5000, __PRETTY_FUNCTION__)) | ||||||||
| 5000 | "This function should not be visited twice for the same VF")((VF.isVector() && Uniforms.find(VF) == Uniforms.end( ) && "This function should not be visited twice for the same VF" ) ? static_cast<void> (0) : __assert_fail ("VF.isVector() && Uniforms.find(VF) == Uniforms.end() && \"This function should not be visited twice for the same VF\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5000, __PRETTY_FUNCTION__)); | ||||||||
| 5001 | |||||||||
| 5002 | // Visit the list of Uniforms. If we'll not find any uniform value, we'll | ||||||||
| 5003 | // not analyze again. Uniforms.count(VF) will return 1. | ||||||||
| 5004 | Uniforms[VF].clear(); | ||||||||
| 5005 | |||||||||
| 5006 | // We now know that the loop is vectorizable! | ||||||||
| 5007 | // Collect instructions inside the loop that will remain uniform after | ||||||||
| 5008 | // vectorization. | ||||||||
| 5009 | |||||||||
| 5010 | // Global values, params and instructions outside of current loop are out of | ||||||||
| 5011 | // scope. | ||||||||
| 5012 | auto isOutOfScope = [&](Value *V) -> bool { | ||||||||
| 5013 | Instruction *I = dyn_cast<Instruction>(V); | ||||||||
| 5014 | return (!I || !TheLoop->contains(I)); | ||||||||
| 5015 | }; | ||||||||
| 5016 | |||||||||
| 5017 | SetVector<Instruction *> Worklist; | ||||||||
| 5018 | BasicBlock *Latch = TheLoop->getLoopLatch(); | ||||||||
| 5019 | |||||||||
| 5020 | // Instructions that are scalar with predication must not be considered | ||||||||
| 5021 | // uniform after vectorization, because that would create an erroneous | ||||||||
| 5022 | // replicating region where only a single instance out of VF should be formed. | ||||||||
| 5023 | // TODO: optimize such seldom cases if found important, see PR40816. | ||||||||
| 5024 | auto addToWorklistIfAllowed = [&](Instruction *I) -> void { | ||||||||
| 5025 | if (isScalarWithPredication(I, VF)) { | ||||||||
| 5026 | LLVM_DEBUG(dbgs() << "LV: Found not uniform being ScalarWithPredication: "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found not uniform being ScalarWithPredication: " << *I << "\n"; } } while (false) | ||||||||
| 5027 | << *I << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found not uniform being ScalarWithPredication: " << *I << "\n"; } } while (false); | ||||||||
| 5028 | return; | ||||||||
| 5029 | } | ||||||||
| 5030 | LLVM_DEBUG(dbgs() << "LV: Found uniform instruction: " << *I << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found uniform instruction: " << *I << "\n"; } } while (false); | ||||||||
| 5031 | Worklist.insert(I); | ||||||||
| 5032 | }; | ||||||||
| 5033 | |||||||||
| 5034 | // Start with the conditional branch. If the branch condition is an | ||||||||
| 5035 | // instruction contained in the loop that is only used by the branch, it is | ||||||||
| 5036 | // uniform. | ||||||||
| 5037 | auto *Cmp = dyn_cast<Instruction>(Latch->getTerminator()->getOperand(0)); | ||||||||
| 5038 | if (Cmp && TheLoop->contains(Cmp) && Cmp->hasOneUse()) | ||||||||
| 5039 | addToWorklistIfAllowed(Cmp); | ||||||||
| 5040 | |||||||||
| 5041 | // Holds consecutive and consecutive-like pointers. Consecutive-like pointers | ||||||||
| 5042 | // are pointers that are treated like consecutive pointers during | ||||||||
| 5043 | // vectorization. The pointer operands of interleaved accesses are an | ||||||||
| 5044 | // example. | ||||||||
| 5045 | SmallSetVector<Instruction *, 8> ConsecutiveLikePtrs; | ||||||||
| 5046 | |||||||||
| 5047 | // Holds pointer operands of instructions that are possibly non-uniform. | ||||||||
| 5048 | SmallPtrSet<Instruction *, 8> PossibleNonUniformPtrs; | ||||||||
| 5049 | |||||||||
| 5050 | auto isUniformDecision = [&](Instruction *I, ElementCount VF) { | ||||||||
| 5051 | InstWidening WideningDecision = getWideningDecision(I, VF); | ||||||||
| 5052 | assert(WideningDecision != CM_Unknown &&((WideningDecision != CM_Unknown && "Widening decision should be ready at this moment" ) ? static_cast<void> (0) : __assert_fail ("WideningDecision != CM_Unknown && \"Widening decision should be ready at this moment\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5053, __PRETTY_FUNCTION__)) | ||||||||
| 5053 | "Widening decision should be ready at this moment")((WideningDecision != CM_Unknown && "Widening decision should be ready at this moment" ) ? static_cast<void> (0) : __assert_fail ("WideningDecision != CM_Unknown && \"Widening decision should be ready at this moment\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5053, __PRETTY_FUNCTION__)); | ||||||||
| 5054 | |||||||||
| 5055 | return (WideningDecision == CM_Widen || | ||||||||
| 5056 | WideningDecision == CM_Widen_Reverse || | ||||||||
| 5057 | WideningDecision == CM_Interleave); | ||||||||
| 5058 | }; | ||||||||
| 5059 | // Iterate over the instructions in the loop, and collect all | ||||||||
| 5060 | // consecutive-like pointer operands in ConsecutiveLikePtrs. If it's possible | ||||||||
| 5061 | // that a consecutive-like pointer operand will be scalarized, we collect it | ||||||||
| 5062 | // in PossibleNonUniformPtrs instead. We use two sets here because a single | ||||||||
| 5063 | // getelementptr instruction can be used by both vectorized and scalarized | ||||||||
| 5064 | // memory instructions. For example, if a loop loads and stores from the same | ||||||||
| 5065 | // location, but the store is conditional, the store will be scalarized, and | ||||||||
| 5066 | // the getelementptr won't remain uniform. | ||||||||
| 5067 | for (auto *BB : TheLoop->blocks()) | ||||||||
| 5068 | for (auto &I : *BB) { | ||||||||
| 5069 | // If there's no pointer operand, there's nothing to do. | ||||||||
| 5070 | auto *Ptr = dyn_cast_or_null<Instruction>(getLoadStorePointerOperand(&I)); | ||||||||
| 5071 | if (!Ptr) | ||||||||
| 5072 | continue; | ||||||||
| 5073 | |||||||||
| 5074 | // True if all users of Ptr are memory accesses that have Ptr as their | ||||||||
| 5075 | // pointer operand. | ||||||||
| 5076 | auto UsersAreMemAccesses = | ||||||||
| 5077 | llvm::all_of(Ptr->users(), [&](User *U) -> bool { | ||||||||
| 5078 | return getLoadStorePointerOperand(U) == Ptr; | ||||||||
| 5079 | }); | ||||||||
| 5080 | |||||||||
| 5081 | // Ensure the memory instruction will not be scalarized or used by | ||||||||
| 5082 | // gather/scatter, making its pointer operand non-uniform. If the pointer | ||||||||
| 5083 | // operand is used by any instruction other than a memory access, we | ||||||||
| 5084 | // conservatively assume the pointer operand may be non-uniform. | ||||||||
| 5085 | if (!UsersAreMemAccesses || !isUniformDecision(&I, VF)) | ||||||||
| 5086 | PossibleNonUniformPtrs.insert(Ptr); | ||||||||
| 5087 | |||||||||
| 5088 | // If the memory instruction will be vectorized and its pointer operand | ||||||||
| 5089 | // is consecutive-like, or interleaving - the pointer operand should | ||||||||
| 5090 | // remain uniform. | ||||||||
| 5091 | else | ||||||||
| 5092 | ConsecutiveLikePtrs.insert(Ptr); | ||||||||
| 5093 | } | ||||||||
| 5094 | |||||||||
| 5095 | // Add to the Worklist all consecutive and consecutive-like pointers that | ||||||||
| 5096 | // aren't also identified as possibly non-uniform. | ||||||||
| 5097 | for (auto *V : ConsecutiveLikePtrs) | ||||||||
| 5098 | if (!PossibleNonUniformPtrs.count(V)) | ||||||||
| 5099 | addToWorklistIfAllowed(V); | ||||||||
| 5100 | |||||||||
| 5101 | // Expand Worklist in topological order: whenever a new instruction | ||||||||
| 5102 | // is added , its users should be already inside Worklist. It ensures | ||||||||
| 5103 | // a uniform instruction will only be used by uniform instructions. | ||||||||
| 5104 | unsigned idx = 0; | ||||||||
| 5105 | while (idx != Worklist.size()) { | ||||||||
| 5106 | Instruction *I = Worklist[idx++]; | ||||||||
| 5107 | |||||||||
| 5108 | for (auto OV : I->operand_values()) { | ||||||||
| 5109 | // isOutOfScope operands cannot be uniform instructions. | ||||||||
| 5110 | if (isOutOfScope(OV)) | ||||||||
| 5111 | continue; | ||||||||
| 5112 | // First order recurrence Phi's should typically be considered | ||||||||
| 5113 | // non-uniform. | ||||||||
| 5114 | auto *OP = dyn_cast<PHINode>(OV); | ||||||||
| 5115 | if (OP && Legal->isFirstOrderRecurrence(OP)) | ||||||||
| 5116 | continue; | ||||||||
| 5117 | // If all the users of the operand are uniform, then add the | ||||||||
| 5118 | // operand into the uniform worklist. | ||||||||
| 5119 | auto *OI = cast<Instruction>(OV); | ||||||||
| 5120 | if (llvm::all_of(OI->users(), [&](User *U) -> bool { | ||||||||
| 5121 | auto *J = cast<Instruction>(U); | ||||||||
| 5122 | return Worklist.count(J) || | ||||||||
| 5123 | (OI == getLoadStorePointerOperand(J) && | ||||||||
| 5124 | isUniformDecision(J, VF)); | ||||||||
| 5125 | })) | ||||||||
| 5126 | addToWorklistIfAllowed(OI); | ||||||||
| 5127 | } | ||||||||
| 5128 | } | ||||||||
| 5129 | |||||||||
| 5130 | // Returns true if Ptr is the pointer operand of a memory access instruction | ||||||||
| 5131 | // I, and I is known to not require scalarization. | ||||||||
| 5132 | auto isVectorizedMemAccessUse = [&](Instruction *I, Value *Ptr) -> bool { | ||||||||
| 5133 | return getLoadStorePointerOperand(I) == Ptr && isUniformDecision(I, VF); | ||||||||
| 5134 | }; | ||||||||
| 5135 | |||||||||
| 5136 | // For an instruction to be added into Worklist above, all its users inside | ||||||||
| 5137 | // the loop should also be in Worklist. However, this condition cannot be | ||||||||
| 5138 | // true for phi nodes that form a cyclic dependence. We must process phi | ||||||||
| 5139 | // nodes separately. An induction variable will remain uniform if all users | ||||||||
| 5140 | // of the induction variable and induction variable update remain uniform. | ||||||||
| 5141 | // The code below handles both pointer and non-pointer induction variables. | ||||||||
| 5142 | for (auto &Induction : Legal->getInductionVars()) { | ||||||||
| 5143 | auto *Ind = Induction.first; | ||||||||
| 5144 | auto *IndUpdate = cast<Instruction>(Ind->getIncomingValueForBlock(Latch)); | ||||||||
| 5145 | |||||||||
| 5146 | // Determine if all users of the induction variable are uniform after | ||||||||
| 5147 | // vectorization. | ||||||||
| 5148 | auto UniformInd = llvm::all_of(Ind->users(), [&](User *U) -> bool { | ||||||||
| 5149 | auto *I = cast<Instruction>(U); | ||||||||
| 5150 | return I == IndUpdate || !TheLoop->contains(I) || Worklist.count(I) || | ||||||||
| 5151 | isVectorizedMemAccessUse(I, Ind); | ||||||||
| 5152 | }); | ||||||||
| 5153 | if (!UniformInd) | ||||||||
| 5154 | continue; | ||||||||
| 5155 | |||||||||
| 5156 | // Determine if all users of the induction variable update instruction are | ||||||||
| 5157 | // uniform after vectorization. | ||||||||
| 5158 | auto UniformIndUpdate = | ||||||||
| 5159 | llvm::all_of(IndUpdate->users(), [&](User *U) -> bool { | ||||||||
| 5160 | auto *I = cast<Instruction>(U); | ||||||||
| 5161 | return I == Ind || !TheLoop->contains(I) || Worklist.count(I) || | ||||||||
| 5162 | isVectorizedMemAccessUse(I, IndUpdate); | ||||||||
| 5163 | }); | ||||||||
| 5164 | if (!UniformIndUpdate) | ||||||||
| 5165 | continue; | ||||||||
| 5166 | |||||||||
| 5167 | // The induction variable and its update instruction will remain uniform. | ||||||||
| 5168 | addToWorklistIfAllowed(Ind); | ||||||||
| 5169 | addToWorklistIfAllowed(IndUpdate); | ||||||||
| 5170 | } | ||||||||
| 5171 | |||||||||
| 5172 | Uniforms[VF].insert(Worklist.begin(), Worklist.end()); | ||||||||
| 5173 | } | ||||||||
| 5174 | |||||||||
| 5175 | bool LoopVectorizationCostModel::runtimeChecksRequired() { | ||||||||
| 5176 | LLVM_DEBUG(dbgs() << "LV: Performing code size checks.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Performing code size checks.\n" ; } } while (false); | ||||||||
| 5177 | |||||||||
| 5178 | if (Legal->getRuntimePointerChecking()->Need) { | ||||||||
| 5179 | reportVectorizationFailure("Runtime ptr check is required with -Os/-Oz", | ||||||||
| 5180 | "runtime pointer checks needed. Enable vectorization of this " | ||||||||
| 5181 | "loop with '#pragma clang loop vectorize(enable)' when " | ||||||||
| 5182 | "compiling with -Os/-Oz", | ||||||||
| 5183 | "CantVersionLoopWithOptForSize", ORE, TheLoop); | ||||||||
| 5184 | return true; | ||||||||
| 5185 | } | ||||||||
| 5186 | |||||||||
| 5187 | if (!PSE.getUnionPredicate().getPredicates().empty()) { | ||||||||
| 5188 | reportVectorizationFailure("Runtime SCEV check is required with -Os/-Oz", | ||||||||
| 5189 | "runtime SCEV checks needed. Enable vectorization of this " | ||||||||
| 5190 | "loop with '#pragma clang loop vectorize(enable)' when " | ||||||||
| 5191 | "compiling with -Os/-Oz", | ||||||||
| 5192 | "CantVersionLoopWithOptForSize", ORE, TheLoop); | ||||||||
| 5193 | return true; | ||||||||
| 5194 | } | ||||||||
| 5195 | |||||||||
| 5196 | // FIXME: Avoid specializing for stride==1 instead of bailing out. | ||||||||
| 5197 | if (!Legal->getLAI()->getSymbolicStrides().empty()) { | ||||||||
| 5198 | reportVectorizationFailure("Runtime stride check for small trip count", | ||||||||
| 5199 | "runtime stride == 1 checks needed. Enable vectorization of " | ||||||||
| 5200 | "this loop without such check by compiling with -Os/-Oz", | ||||||||
| 5201 | "CantVersionLoopWithOptForSize", ORE, TheLoop); | ||||||||
| 5202 | return true; | ||||||||
| 5203 | } | ||||||||
| 5204 | |||||||||
| 5205 | return false; | ||||||||
| 5206 | } | ||||||||
| 5207 | |||||||||
| 5208 | Optional<unsigned> LoopVectorizationCostModel::computeMaxVF(unsigned UserVF, | ||||||||
| 5209 | unsigned UserIC) { | ||||||||
| 5210 | if (Legal->getRuntimePointerChecking()->Need && TTI.hasBranchDivergence()) { | ||||||||
| 5211 | // TODO: It may by useful to do since it's still likely to be dynamically | ||||||||
| 5212 | // uniform if the target can skip. | ||||||||
| 5213 | reportVectorizationFailure( | ||||||||
| 5214 | "Not inserting runtime ptr check for divergent target", | ||||||||
| 5215 | "runtime pointer checks needed. Not enabled for divergent target", | ||||||||
| 5216 | "CantVersionLoopWithDivergentTarget", ORE, TheLoop); | ||||||||
| 5217 | return None; | ||||||||
| 5218 | } | ||||||||
| 5219 | |||||||||
| 5220 | unsigned TC = PSE.getSE()->getSmallConstantTripCount(TheLoop); | ||||||||
| 5221 | LLVM_DEBUG(dbgs() << "LV: Found trip count: " << TC << '\n')do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found trip count: " << TC << '\n'; } } while (false); | ||||||||
| 5222 | if (TC == 1) { | ||||||||
| 5223 | reportVectorizationFailure("Single iteration (non) loop", | ||||||||
| 5224 | "loop trip count is one, irrelevant for vectorization", | ||||||||
| 5225 | "SingleIterationLoop", ORE, TheLoop); | ||||||||
| 5226 | return None; | ||||||||
| 5227 | } | ||||||||
| 5228 | |||||||||
| 5229 | switch (ScalarEpilogueStatus) { | ||||||||
| 5230 | case CM_ScalarEpilogueAllowed: | ||||||||
| 5231 | return UserVF ? UserVF : computeFeasibleMaxVF(TC); | ||||||||
| 5232 | case CM_ScalarEpilogueNotNeededUsePredicate: | ||||||||
| 5233 | LLVM_DEBUG(do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: vector predicate hint/switch found.\n" << "LV: Not allowing scalar epilogue, creating predicated " << "vector loop.\n"; } } while (false) | ||||||||
| 5234 | dbgs() << "LV: vector predicate hint/switch found.\n"do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: vector predicate hint/switch found.\n" << "LV: Not allowing scalar epilogue, creating predicated " << "vector loop.\n"; } } while (false) | ||||||||
| 5235 | << "LV: Not allowing scalar epilogue, creating predicated "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: vector predicate hint/switch found.\n" << "LV: Not allowing scalar epilogue, creating predicated " << "vector loop.\n"; } } while (false) | ||||||||
| 5236 | << "vector loop.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: vector predicate hint/switch found.\n" << "LV: Not allowing scalar epilogue, creating predicated " << "vector loop.\n"; } } while (false); | ||||||||
| 5237 | break; | ||||||||
| 5238 | case CM_ScalarEpilogueNotAllowedLowTripLoop: | ||||||||
| 5239 | // fallthrough as a special case of OptForSize | ||||||||
| 5240 | case CM_ScalarEpilogueNotAllowedOptSize: | ||||||||
| 5241 | if (ScalarEpilogueStatus == CM_ScalarEpilogueNotAllowedOptSize) | ||||||||
| 5242 | LLVM_DEBUG(do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not allowing scalar epilogue due to -Os/-Oz.\n" ; } } while (false) | ||||||||
| 5243 | dbgs() << "LV: Not allowing scalar epilogue due to -Os/-Oz.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not allowing scalar epilogue due to -Os/-Oz.\n" ; } } while (false); | ||||||||
| 5244 | else | ||||||||
| 5245 | LLVM_DEBUG(dbgs() << "LV: Not allowing scalar epilogue due to low trip "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not allowing scalar epilogue due to low trip " << "count.\n"; } } while (false) | ||||||||
| 5246 | << "count.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not allowing scalar epilogue due to low trip " << "count.\n"; } } while (false); | ||||||||
| 5247 | |||||||||
| 5248 | // Bail if runtime checks are required, which are not good when optimising | ||||||||
| 5249 | // for size. | ||||||||
| 5250 | if (runtimeChecksRequired()) | ||||||||
| 5251 | return None; | ||||||||
| 5252 | break; | ||||||||
| 5253 | } | ||||||||
| 5254 | |||||||||
| 5255 | // Now try the tail folding | ||||||||
| 5256 | |||||||||
| 5257 | // Invalidate interleave groups that require an epilogue if we can't mask | ||||||||
| 5258 | // the interleave-group. | ||||||||
| 5259 | if (!useMaskedInterleavedAccesses(TTI)) { | ||||||||
| 5260 | assert(WideningDecisions.empty() && Uniforms.empty() && Scalars.empty() &&((WideningDecisions.empty() && Uniforms.empty() && Scalars.empty() && "No decisions should have been taken at this point" ) ? static_cast<void> (0) : __assert_fail ("WideningDecisions.empty() && Uniforms.empty() && Scalars.empty() && \"No decisions should have been taken at this point\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5261, __PRETTY_FUNCTION__)) | ||||||||
| 5261 | "No decisions should have been taken at this point")((WideningDecisions.empty() && Uniforms.empty() && Scalars.empty() && "No decisions should have been taken at this point" ) ? static_cast<void> (0) : __assert_fail ("WideningDecisions.empty() && Uniforms.empty() && Scalars.empty() && \"No decisions should have been taken at this point\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5261, __PRETTY_FUNCTION__)); | ||||||||
| 5262 | // Note: There is no need to invalidate any cost modeling decisions here, as | ||||||||
| 5263 | // non where taken so far. | ||||||||
| 5264 | InterleaveInfo.invalidateGroupsRequiringScalarEpilogue(); | ||||||||
| 5265 | } | ||||||||
| 5266 | |||||||||
| 5267 | unsigned MaxVF = UserVF ? UserVF : computeFeasibleMaxVF(TC); | ||||||||
| 5268 | assert((UserVF || isPowerOf2_32(MaxVF)) && "MaxVF must be a power of 2")(((UserVF || isPowerOf2_32(MaxVF)) && "MaxVF must be a power of 2" ) ? static_cast<void> (0) : __assert_fail ("(UserVF || isPowerOf2_32(MaxVF)) && \"MaxVF must be a power of 2\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5268, __PRETTY_FUNCTION__)); | ||||||||
| 5269 | unsigned MaxVFtimesIC = UserIC ? MaxVF * UserIC : MaxVF; | ||||||||
| 5270 | if (TC > 0 && TC % MaxVFtimesIC == 0) { | ||||||||
| 5271 | // Accept MaxVF if we do not have a tail. | ||||||||
| 5272 | LLVM_DEBUG(dbgs() << "LV: No tail will remain for any chosen VF.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: No tail will remain for any chosen VF.\n" ; } } while (false); | ||||||||
| 5273 | return MaxVF; | ||||||||
| 5274 | } | ||||||||
| 5275 | |||||||||
| 5276 | // If we don't know the precise trip count, or if the trip count that we | ||||||||
| 5277 | // found modulo the vectorization factor is not zero, try to fold the tail | ||||||||
| 5278 | // by masking. | ||||||||
| 5279 | // FIXME: look for a smaller MaxVF that does divide TC rather than masking. | ||||||||
| 5280 | if (Legal->prepareToFoldTailByMasking()) { | ||||||||
| 5281 | FoldTailByMasking = true; | ||||||||
| 5282 | return MaxVF; | ||||||||
| 5283 | } | ||||||||
| 5284 | |||||||||
| 5285 | // If there was a tail-folding hint/switch, but we can't fold the tail by | ||||||||
| 5286 | // masking, fallback to a vectorization with a scalar epilogue. | ||||||||
| 5287 | if (ScalarEpilogueStatus == CM_ScalarEpilogueNotNeededUsePredicate) { | ||||||||
| 5288 | if (PreferPredicateOverEpilogue == PreferPredicateTy::PredicateOrDontVectorize) { | ||||||||
| 5289 | LLVM_DEBUG(dbgs() << "LV: Can't fold tail by masking: don't vectorize\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Can't fold tail by masking: don't vectorize\n" ; } } while (false); | ||||||||
| 5290 | return None; | ||||||||
| 5291 | } | ||||||||
| 5292 | LLVM_DEBUG(dbgs() << "LV: Cannot fold tail by masking: vectorize with a "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Cannot fold tail by masking: vectorize with a " "scalar epilogue instead.\n"; } } while (false) | ||||||||
| 5293 | "scalar epilogue instead.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Cannot fold tail by masking: vectorize with a " "scalar epilogue instead.\n"; } } while (false); | ||||||||
| 5294 | ScalarEpilogueStatus = CM_ScalarEpilogueAllowed; | ||||||||
| 5295 | return MaxVF; | ||||||||
| 5296 | } | ||||||||
| 5297 | |||||||||
| 5298 | if (TC == 0) { | ||||||||
| 5299 | reportVectorizationFailure( | ||||||||
| 5300 | "Unable to calculate the loop count due to complex control flow", | ||||||||
| 5301 | "unable to calculate the loop count due to complex control flow", | ||||||||
| 5302 | "UnknownLoopCountComplexCFG", ORE, TheLoop); | ||||||||
| 5303 | return None; | ||||||||
| 5304 | } | ||||||||
| 5305 | |||||||||
| 5306 | reportVectorizationFailure( | ||||||||
| 5307 | "Cannot optimize for size and vectorize at the same time.", | ||||||||
| 5308 | "cannot optimize for size and vectorize at the same time. " | ||||||||
| 5309 | "Enable vectorization of this loop with '#pragma clang loop " | ||||||||
| 5310 | "vectorize(enable)' when compiling with -Os/-Oz", | ||||||||
| 5311 | "NoTailLoopWithOptForSize", ORE, TheLoop); | ||||||||
| 5312 | return None; | ||||||||
| 5313 | } | ||||||||
| 5314 | |||||||||
| 5315 | unsigned | ||||||||
| 5316 | LoopVectorizationCostModel::computeFeasibleMaxVF(unsigned ConstTripCount) { | ||||||||
| 5317 | MinBWs = computeMinimumValueSizes(TheLoop->getBlocks(), *DB, &TTI); | ||||||||
| 5318 | unsigned SmallestType, WidestType; | ||||||||
| 5319 | std::tie(SmallestType, WidestType) = getSmallestAndWidestTypes(); | ||||||||
| 5320 | unsigned WidestRegister = TTI.getRegisterBitWidth(true); | ||||||||
| 5321 | |||||||||
| 5322 | // Get the maximum safe dependence distance in bits computed by LAA. | ||||||||
| 5323 | // It is computed by MaxVF * sizeOf(type) * 8, where type is taken from | ||||||||
| 5324 | // the memory accesses that is most restrictive (involved in the smallest | ||||||||
| 5325 | // dependence distance). | ||||||||
| 5326 | unsigned MaxSafeRegisterWidth = Legal->getMaxSafeRegisterWidth(); | ||||||||
| 5327 | |||||||||
| 5328 | WidestRegister = std::min(WidestRegister, MaxSafeRegisterWidth); | ||||||||
| 5329 | |||||||||
| 5330 | // Ensure MaxVF is a power of 2; the dependence distance bound may not be. | ||||||||
| 5331 | // Note that both WidestRegister and WidestType may not be a powers of 2. | ||||||||
| 5332 | unsigned MaxVectorSize = PowerOf2Floor(WidestRegister / WidestType); | ||||||||
| 5333 | |||||||||
| 5334 | LLVM_DEBUG(dbgs() << "LV: The Smallest and Widest types: " << SmallestTypedo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: The Smallest and Widest types: " << SmallestType << " / " << WidestType << " bits.\n"; } } while (false) | ||||||||
| 5335 | << " / " << WidestType << " bits.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: The Smallest and Widest types: " << SmallestType << " / " << WidestType << " bits.\n"; } } while (false); | ||||||||
| 5336 | LLVM_DEBUG(dbgs() << "LV: The Widest register safe to use is: "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: The Widest register safe to use is: " << WidestRegister << " bits.\n"; } } while (false ) | ||||||||
| 5337 | << WidestRegister << " bits.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: The Widest register safe to use is: " << WidestRegister << " bits.\n"; } } while (false ); | ||||||||
| 5338 | |||||||||
| 5339 | assert(MaxVectorSize <= 256 && "Did not expect to pack so many elements"((MaxVectorSize <= 256 && "Did not expect to pack so many elements" " into one vector!") ? static_cast<void> (0) : __assert_fail ("MaxVectorSize <= 256 && \"Did not expect to pack so many elements\" \" into one vector!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5340, __PRETTY_FUNCTION__)) | ||||||||
| 5340 | " into one vector!")((MaxVectorSize <= 256 && "Did not expect to pack so many elements" " into one vector!") ? static_cast<void> (0) : __assert_fail ("MaxVectorSize <= 256 && \"Did not expect to pack so many elements\" \" into one vector!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5340, __PRETTY_FUNCTION__)); | ||||||||
| 5341 | if (MaxVectorSize == 0) { | ||||||||
| 5342 | LLVM_DEBUG(dbgs() << "LV: The target has no vector registers.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: The target has no vector registers.\n" ; } } while (false); | ||||||||
| 5343 | MaxVectorSize = 1; | ||||||||
| 5344 | return MaxVectorSize; | ||||||||
| 5345 | } else if (ConstTripCount && ConstTripCount < MaxVectorSize && | ||||||||
| 5346 | isPowerOf2_32(ConstTripCount)) { | ||||||||
| 5347 | // We need to clamp the VF to be the ConstTripCount. There is no point in | ||||||||
| 5348 | // choosing a higher viable VF as done in the loop below. | ||||||||
| 5349 | LLVM_DEBUG(dbgs() << "LV: Clamping the MaxVF to the constant trip count: "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Clamping the MaxVF to the constant trip count: " << ConstTripCount << "\n"; } } while (false) | ||||||||
| 5350 | << ConstTripCount << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Clamping the MaxVF to the constant trip count: " << ConstTripCount << "\n"; } } while (false); | ||||||||
| 5351 | MaxVectorSize = ConstTripCount; | ||||||||
| 5352 | return MaxVectorSize; | ||||||||
| 5353 | } | ||||||||
| 5354 | |||||||||
| 5355 | unsigned MaxVF = MaxVectorSize; | ||||||||
| 5356 | if (TTI.shouldMaximizeVectorBandwidth(!isScalarEpilogueAllowed()) || | ||||||||
| 5357 | (MaximizeBandwidth && isScalarEpilogueAllowed())) { | ||||||||
| 5358 | // Collect all viable vectorization factors larger than the default MaxVF | ||||||||
| 5359 | // (i.e. MaxVectorSize). | ||||||||
| 5360 | SmallVector<ElementCount, 8> VFs; | ||||||||
| 5361 | unsigned NewMaxVectorSize = WidestRegister / SmallestType; | ||||||||
| 5362 | for (unsigned VS = MaxVectorSize * 2; VS <= NewMaxVectorSize; VS *= 2) | ||||||||
| 5363 | VFs.push_back(ElementCount::getFixed(VS)); | ||||||||
| 5364 | |||||||||
| 5365 | // For each VF calculate its register usage. | ||||||||
| 5366 | auto RUs = calculateRegisterUsage(VFs); | ||||||||
| 5367 | |||||||||
| 5368 | // Select the largest VF which doesn't require more registers than existing | ||||||||
| 5369 | // ones. | ||||||||
| 5370 | for (int i = RUs.size() - 1; i >= 0; --i) { | ||||||||
| 5371 | bool Selected = true; | ||||||||
| 5372 | for (auto& pair : RUs[i].MaxLocalUsers) { | ||||||||
| 5373 | unsigned TargetNumRegisters = TTI.getNumberOfRegisters(pair.first); | ||||||||
| 5374 | if (pair.second > TargetNumRegisters) | ||||||||
| 5375 | Selected = false; | ||||||||
| 5376 | } | ||||||||
| 5377 | if (Selected) { | ||||||||
| 5378 | MaxVF = VFs[i].getKnownMinValue(); | ||||||||
| 5379 | break; | ||||||||
| 5380 | } | ||||||||
| 5381 | } | ||||||||
| 5382 | if (unsigned MinVF = TTI.getMinimumVF(SmallestType)) { | ||||||||
| 5383 | if (MaxVF < MinVF) { | ||||||||
| 5384 | LLVM_DEBUG(dbgs() << "LV: Overriding calculated MaxVF(" << MaxVFdo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Overriding calculated MaxVF(" << MaxVF << ") with target's minimum: " << MinVF << '\n'; } } while (false) | ||||||||
| 5385 | << ") with target's minimum: " << MinVF << '\n')do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Overriding calculated MaxVF(" << MaxVF << ") with target's minimum: " << MinVF << '\n'; } } while (false); | ||||||||
| 5386 | MaxVF = MinVF; | ||||||||
| 5387 | } | ||||||||
| 5388 | } | ||||||||
| 5389 | } | ||||||||
| 5390 | return MaxVF; | ||||||||
| 5391 | } | ||||||||
| 5392 | |||||||||
| 5393 | VectorizationFactor | ||||||||
| 5394 | LoopVectorizationCostModel::selectVectorizationFactor(unsigned MaxVF) { | ||||||||
| 5395 | float Cost = expectedCost(ElementCount::getFixed(1)).first; | ||||||||
| 5396 | const float ScalarCost = Cost; | ||||||||
| 5397 | unsigned Width = 1; | ||||||||
| 5398 | LLVM_DEBUG(dbgs() << "LV: Scalar loop costs: " << (int)ScalarCost << ".\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Scalar loop costs: " << (int)ScalarCost << ".\n"; } } while (false); | ||||||||
| 5399 | |||||||||
| 5400 | bool ForceVectorization = Hints->getForce() == LoopVectorizeHints::FK_Enabled; | ||||||||
| 5401 | if (ForceVectorization && MaxVF > 1) { | ||||||||
| 5402 | // Ignore scalar width, because the user explicitly wants vectorization. | ||||||||
| 5403 | // Initialize cost to max so that VF = 2 is, at least, chosen during cost | ||||||||
| 5404 | // evaluation. | ||||||||
| 5405 | Cost = std::numeric_limits<float>::max(); | ||||||||
| 5406 | } | ||||||||
| 5407 | |||||||||
| 5408 | for (unsigned i = 2; i <= MaxVF; i *= 2) { | ||||||||
| 5409 | // Notice that the vector loop needs to be executed less times, so | ||||||||
| 5410 | // we need to divide the cost of the vector loops by the width of | ||||||||
| 5411 | // the vector elements. | ||||||||
| 5412 | VectorizationCostTy C = expectedCost(ElementCount::getFixed(i)); | ||||||||
| 5413 | float VectorCost = C.first / (float)i; | ||||||||
| 5414 | LLVM_DEBUG(dbgs() << "LV: Vector loop of width " << ido { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Vector loop of width " << i << " costs: " << (int)VectorCost << ".\n"; } } while (false) | ||||||||
| 5415 | << " costs: " << (int)VectorCost << ".\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Vector loop of width " << i << " costs: " << (int)VectorCost << ".\n"; } } while (false); | ||||||||
| 5416 | if (!C.second && !ForceVectorization) { | ||||||||
| 5417 | LLVM_DEBUG(do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not considering vector loop of width " << i << " because it will not generate any vector instructions.\n" ; } } while (false) | ||||||||
| 5418 | dbgs() << "LV: Not considering vector loop of width " << ido { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not considering vector loop of width " << i << " because it will not generate any vector instructions.\n" ; } } while (false) | ||||||||
| 5419 | << " because it will not generate any vector instructions.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not considering vector loop of width " << i << " because it will not generate any vector instructions.\n" ; } } while (false); | ||||||||
| 5420 | continue; | ||||||||
| 5421 | } | ||||||||
| 5422 | if (VectorCost < Cost) { | ||||||||
| 5423 | Cost = VectorCost; | ||||||||
| 5424 | Width = i; | ||||||||
| 5425 | } | ||||||||
| 5426 | } | ||||||||
| 5427 | |||||||||
| 5428 | if (!EnableCondStoresVectorization && NumPredStores) { | ||||||||
| 5429 | reportVectorizationFailure("There are conditional stores.", | ||||||||
| 5430 | "store that is conditionally executed prevents vectorization", | ||||||||
| 5431 | "ConditionalStore", ORE, TheLoop); | ||||||||
| 5432 | Width = 1; | ||||||||
| 5433 | Cost = ScalarCost; | ||||||||
| 5434 | } | ||||||||
| 5435 | |||||||||
| 5436 | LLVM_DEBUG(if (ForceVectorization && Width > 1 && Cost >= ScalarCost) dbgs()do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { if (ForceVectorization && Width > 1 && Cost >= ScalarCost) dbgs() << "LV: Vectorization seems to be not beneficial, " << "but was forced by a user.\n"; } } while (false) | ||||||||
| 5437 | << "LV: Vectorization seems to be not beneficial, "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { if (ForceVectorization && Width > 1 && Cost >= ScalarCost) dbgs() << "LV: Vectorization seems to be not beneficial, " << "but was forced by a user.\n"; } } while (false) | ||||||||
| 5438 | << "but was forced by a user.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { if (ForceVectorization && Width > 1 && Cost >= ScalarCost) dbgs() << "LV: Vectorization seems to be not beneficial, " << "but was forced by a user.\n"; } } while (false); | ||||||||
| 5439 | LLVM_DEBUG(dbgs() << "LV: Selecting VF: " << Width << ".\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Selecting VF: " << Width << ".\n"; } } while (false); | ||||||||
| 5440 | VectorizationFactor Factor = {ElementCount::getFixed(Width), | ||||||||
| 5441 | (unsigned)(Width * Cost)}; | ||||||||
| 5442 | return Factor; | ||||||||
| 5443 | } | ||||||||
| 5444 | |||||||||
| 5445 | std::pair<unsigned, unsigned> | ||||||||
| 5446 | LoopVectorizationCostModel::getSmallestAndWidestTypes() { | ||||||||
| 5447 | unsigned MinWidth = -1U; | ||||||||
| 5448 | unsigned MaxWidth = 8; | ||||||||
| 5449 | const DataLayout &DL = TheFunction->getParent()->getDataLayout(); | ||||||||
| 5450 | |||||||||
| 5451 | // For each block. | ||||||||
| 5452 | for (BasicBlock *BB : TheLoop->blocks()) { | ||||||||
| 5453 | // For each instruction in the loop. | ||||||||
| 5454 | for (Instruction &I : BB->instructionsWithoutDebug()) { | ||||||||
| 5455 | Type *T = I.getType(); | ||||||||
| 5456 | |||||||||
| 5457 | // Skip ignored values. | ||||||||
| 5458 | if (ValuesToIgnore.count(&I)) | ||||||||
| 5459 | continue; | ||||||||
| 5460 | |||||||||
| 5461 | // Only examine Loads, Stores and PHINodes. | ||||||||
| 5462 | if (!isa<LoadInst>(I) && !isa<StoreInst>(I) && !isa<PHINode>(I)) | ||||||||
| 5463 | continue; | ||||||||
| 5464 | |||||||||
| 5465 | // Examine PHI nodes that are reduction variables. Update the type to | ||||||||
| 5466 | // account for the recurrence type. | ||||||||
| 5467 | if (auto *PN = dyn_cast<PHINode>(&I)) { | ||||||||
| 5468 | if (!Legal->isReductionVariable(PN)) | ||||||||
| 5469 | continue; | ||||||||
| 5470 | RecurrenceDescriptor RdxDesc = Legal->getReductionVars()[PN]; | ||||||||
| 5471 | T = RdxDesc.getRecurrenceType(); | ||||||||
| 5472 | } | ||||||||
| 5473 | |||||||||
| 5474 | // Examine the stored values. | ||||||||
| 5475 | if (auto *ST = dyn_cast<StoreInst>(&I)) | ||||||||
| 5476 | T = ST->getValueOperand()->getType(); | ||||||||
| 5477 | |||||||||
| 5478 | // Ignore loaded pointer types and stored pointer types that are not | ||||||||
| 5479 | // vectorizable. | ||||||||
| 5480 | // | ||||||||
| 5481 | // FIXME: The check here attempts to predict whether a load or store will | ||||||||
| 5482 | // be vectorized. We only know this for certain after a VF has | ||||||||
| 5483 | // been selected. Here, we assume that if an access can be | ||||||||
| 5484 | // vectorized, it will be. We should also look at extending this | ||||||||
| 5485 | // optimization to non-pointer types. | ||||||||
| 5486 | // | ||||||||
| 5487 | if (T->isPointerTy() && !isConsecutiveLoadOrStore(&I) && | ||||||||
| 5488 | !isAccessInterleaved(&I) && !isLegalGatherOrScatter(&I)) | ||||||||
| 5489 | continue; | ||||||||
| 5490 | |||||||||
| 5491 | MinWidth = std::min(MinWidth, | ||||||||
| 5492 | (unsigned)DL.getTypeSizeInBits(T->getScalarType())); | ||||||||
| 5493 | MaxWidth = std::max(MaxWidth, | ||||||||
| 5494 | (unsigned)DL.getTypeSizeInBits(T->getScalarType())); | ||||||||
| 5495 | } | ||||||||
| 5496 | } | ||||||||
| 5497 | |||||||||
| 5498 | return {MinWidth, MaxWidth}; | ||||||||
| 5499 | } | ||||||||
| 5500 | |||||||||
| 5501 | unsigned LoopVectorizationCostModel::selectInterleaveCount(ElementCount VF, | ||||||||
| 5502 | unsigned LoopCost) { | ||||||||
| 5503 | // -- The interleave heuristics -- | ||||||||
| 5504 | // We interleave the loop in order to expose ILP and reduce the loop overhead. | ||||||||
| 5505 | // There are many micro-architectural considerations that we can't predict | ||||||||
| 5506 | // at this level. For example, frontend pressure (on decode or fetch) due to | ||||||||
| 5507 | // code size, or the number and capabilities of the execution ports. | ||||||||
| 5508 | // | ||||||||
| 5509 | // We use the following heuristics to select the interleave count: | ||||||||
| 5510 | // 1. If the code has reductions, then we interleave to break the cross | ||||||||
| 5511 | // iteration dependency. | ||||||||
| 5512 | // 2. If the loop is really small, then we interleave to reduce the loop | ||||||||
| 5513 | // overhead. | ||||||||
| 5514 | // 3. We don't interleave if we think that we will spill registers to memory | ||||||||
| 5515 | // due to the increased register pressure. | ||||||||
| 5516 | |||||||||
| 5517 | if (!isScalarEpilogueAllowed()) | ||||||||
| 5518 | return 1; | ||||||||
| 5519 | |||||||||
| 5520 | // We used the distance for the interleave count. | ||||||||
| 5521 | if (Legal->getMaxSafeDepDistBytes() != -1U) | ||||||||
| 5522 | return 1; | ||||||||
| 5523 | |||||||||
| 5524 | auto BestKnownTC = getSmallBestKnownTC(*PSE.getSE(), TheLoop); | ||||||||
| 5525 | const bool HasReductions = !Legal->getReductionVars().empty(); | ||||||||
| 5526 | // Do not interleave loops with a relatively small known or estimated trip | ||||||||
| 5527 | // count. But we will interleave when InterleaveSmallLoopScalarReduction is | ||||||||
| 5528 | // enabled, and the code has scalar reductions(HasReductions && VF = 1), | ||||||||
| 5529 | // because with the above conditions interleaving can expose ILP and break | ||||||||
| 5530 | // cross iteration dependences for reductions. | ||||||||
| 5531 | if (BestKnownTC && (*BestKnownTC < TinyTripCountInterleaveThreshold) && | ||||||||
| 5532 | !(InterleaveSmallLoopScalarReduction && HasReductions && VF.isScalar())) | ||||||||
| 5533 | return 1; | ||||||||
| 5534 | |||||||||
| 5535 | RegisterUsage R = calculateRegisterUsage({VF})[0]; | ||||||||
| 5536 | // We divide by these constants so assume that we have at least one | ||||||||
| 5537 | // instruction that uses at least one register. | ||||||||
| 5538 | for (auto& pair : R.MaxLocalUsers) { | ||||||||
| 5539 | pair.second = std::max(pair.second, 1U); | ||||||||
| 5540 | } | ||||||||
| 5541 | |||||||||
| 5542 | // We calculate the interleave count using the following formula. | ||||||||
| 5543 | // Subtract the number of loop invariants from the number of available | ||||||||
| 5544 | // registers. These registers are used by all of the interleaved instances. | ||||||||
| 5545 | // Next, divide the remaining registers by the number of registers that is | ||||||||
| 5546 | // required by the loop, in order to estimate how many parallel instances | ||||||||
| 5547 | // fit without causing spills. All of this is rounded down if necessary to be | ||||||||
| 5548 | // a power of two. We want power of two interleave count to simplify any | ||||||||
| 5549 | // addressing operations or alignment considerations. | ||||||||
| 5550 | // We also want power of two interleave counts to ensure that the induction | ||||||||
| 5551 | // variable of the vector loop wraps to zero, when tail is folded by masking; | ||||||||
| 5552 | // this currently happens when OptForSize, in which case IC is set to 1 above. | ||||||||
| 5553 | unsigned IC = UINT_MAX(2147483647 *2U +1U); | ||||||||
| 5554 | |||||||||
| 5555 | for (auto& pair : R.MaxLocalUsers) { | ||||||||
| 5556 | unsigned TargetNumRegisters = TTI.getNumberOfRegisters(pair.first); | ||||||||
| 5557 | LLVM_DEBUG(dbgs() << "LV: The target has " << TargetNumRegistersdo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: The target has " << TargetNumRegisters << " registers of " << TTI.getRegisterClassName (pair.first) << " register class\n"; } } while (false) | ||||||||
| 5558 | << " registers of "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: The target has " << TargetNumRegisters << " registers of " << TTI.getRegisterClassName (pair.first) << " register class\n"; } } while (false) | ||||||||
| 5559 | << TTI.getRegisterClassName(pair.first) << " register class\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: The target has " << TargetNumRegisters << " registers of " << TTI.getRegisterClassName (pair.first) << " register class\n"; } } while (false); | ||||||||
| 5560 | if (VF.isScalar()) { | ||||||||
| 5561 | if (ForceTargetNumScalarRegs.getNumOccurrences() > 0) | ||||||||
| 5562 | TargetNumRegisters = ForceTargetNumScalarRegs; | ||||||||
| 5563 | } else { | ||||||||
| 5564 | if (ForceTargetNumVectorRegs.getNumOccurrences() > 0) | ||||||||
| 5565 | TargetNumRegisters = ForceTargetNumVectorRegs; | ||||||||
| 5566 | } | ||||||||
| 5567 | unsigned MaxLocalUsers = pair.second; | ||||||||
| 5568 | unsigned LoopInvariantRegs = 0; | ||||||||
| 5569 | if (R.LoopInvariantRegs.find(pair.first) != R.LoopInvariantRegs.end()) | ||||||||
| 5570 | LoopInvariantRegs = R.LoopInvariantRegs[pair.first]; | ||||||||
| 5571 | |||||||||
| 5572 | unsigned TmpIC = PowerOf2Floor((TargetNumRegisters - LoopInvariantRegs) / MaxLocalUsers); | ||||||||
| 5573 | // Don't count the induction variable as interleaved. | ||||||||
| 5574 | if (EnableIndVarRegisterHeur) { | ||||||||
| 5575 | TmpIC = | ||||||||
| 5576 | PowerOf2Floor((TargetNumRegisters - LoopInvariantRegs - 1) / | ||||||||
| 5577 | std::max(1U, (MaxLocalUsers - 1))); | ||||||||
| 5578 | } | ||||||||
| 5579 | |||||||||
| 5580 | IC = std::min(IC, TmpIC); | ||||||||
| 5581 | } | ||||||||
| 5582 | |||||||||
| 5583 | // Clamp the interleave ranges to reasonable counts. | ||||||||
| 5584 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5584, __PRETTY_FUNCTION__)); | ||||||||
| 5585 | unsigned MaxInterleaveCount = | ||||||||
| 5586 | TTI.getMaxInterleaveFactor(VF.getKnownMinValue()); | ||||||||
| 5587 | |||||||||
| 5588 | // Check if the user has overridden the max. | ||||||||
| 5589 | if (VF.isScalar()) { | ||||||||
| 5590 | if (ForceTargetMaxScalarInterleaveFactor.getNumOccurrences() > 0) | ||||||||
| 5591 | MaxInterleaveCount = ForceTargetMaxScalarInterleaveFactor; | ||||||||
| 5592 | } else { | ||||||||
| 5593 | if (ForceTargetMaxVectorInterleaveFactor.getNumOccurrences() > 0) | ||||||||
| 5594 | MaxInterleaveCount = ForceTargetMaxVectorInterleaveFactor; | ||||||||
| 5595 | } | ||||||||
| 5596 | |||||||||
| 5597 | // If trip count is known or estimated compile time constant, limit the | ||||||||
| 5598 | // interleave count to be less than the trip count divided by VF. | ||||||||
| 5599 | if (BestKnownTC) { | ||||||||
| 5600 | MaxInterleaveCount = | ||||||||
| 5601 | std::min(*BestKnownTC / VF.getKnownMinValue(), MaxInterleaveCount); | ||||||||
| 5602 | } | ||||||||
| 5603 | |||||||||
| 5604 | // If we did not calculate the cost for VF (because the user selected the VF) | ||||||||
| 5605 | // then we calculate the cost of VF here. | ||||||||
| 5606 | if (LoopCost == 0) | ||||||||
| 5607 | LoopCost = expectedCost(VF).first; | ||||||||
| 5608 | |||||||||
| 5609 | assert(LoopCost && "Non-zero loop cost expected")((LoopCost && "Non-zero loop cost expected") ? static_cast <void> (0) : __assert_fail ("LoopCost && \"Non-zero loop cost expected\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5609, __PRETTY_FUNCTION__)); | ||||||||
| 5610 | |||||||||
| 5611 | // Clamp the calculated IC to be between the 1 and the max interleave count | ||||||||
| 5612 | // that the target and trip count allows. | ||||||||
| 5613 | if (IC > MaxInterleaveCount) | ||||||||
| 5614 | IC = MaxInterleaveCount; | ||||||||
| 5615 | else if (IC < 1) | ||||||||
| 5616 | IC = 1; | ||||||||
| 5617 | |||||||||
| 5618 | // Interleave if we vectorized this loop and there is a reduction that could | ||||||||
| 5619 | // benefit from interleaving. | ||||||||
| 5620 | if (VF.isVector() && HasReductions) { | ||||||||
| 5621 | LLVM_DEBUG(dbgs() << "LV: Interleaving because of reductions.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Interleaving because of reductions.\n" ; } } while (false); | ||||||||
| 5622 | return IC; | ||||||||
| 5623 | } | ||||||||
| 5624 | |||||||||
| 5625 | // Note that if we've already vectorized the loop we will have done the | ||||||||
| 5626 | // runtime check and so interleaving won't require further checks. | ||||||||
| 5627 | bool InterleavingRequiresRuntimePointerCheck = | ||||||||
| 5628 | (VF.isScalar() && Legal->getRuntimePointerChecking()->Need); | ||||||||
| 5629 | |||||||||
| 5630 | // We want to interleave small loops in order to reduce the loop overhead and | ||||||||
| 5631 | // potentially expose ILP opportunities. | ||||||||
| 5632 | LLVM_DEBUG(dbgs() << "LV: Loop cost is " << LoopCost << '\n'do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop cost is " << LoopCost << '\n' << "LV: IC is " << IC << '\n' << "LV: VF is " << VF.getKnownMinValue() << '\n'; } } while (false) | ||||||||
| 5633 | << "LV: IC is " << IC << '\n'do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop cost is " << LoopCost << '\n' << "LV: IC is " << IC << '\n' << "LV: VF is " << VF.getKnownMinValue() << '\n'; } } while (false) | ||||||||
| 5634 | << "LV: VF is " << VF.getKnownMinValue() << '\n')do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop cost is " << LoopCost << '\n' << "LV: IC is " << IC << '\n' << "LV: VF is " << VF.getKnownMinValue() << '\n'; } } while (false); | ||||||||
| 5635 | const bool AggressivelyInterleaveReductions = | ||||||||
| 5636 | TTI.enableAggressiveInterleaving(HasReductions); | ||||||||
| 5637 | if (!InterleavingRequiresRuntimePointerCheck && LoopCost < SmallLoopCost) { | ||||||||
| 5638 | // We assume that the cost overhead is 1 and we use the cost model | ||||||||
| 5639 | // to estimate the cost of the loop and interleave until the cost of the | ||||||||
| 5640 | // loop overhead is about 5% of the cost of the loop. | ||||||||
| 5641 | unsigned SmallIC = | ||||||||
| 5642 | std::min(IC, (unsigned)PowerOf2Floor(SmallLoopCost / LoopCost)); | ||||||||
| 5643 | |||||||||
| 5644 | // Interleave until store/load ports (estimated by max interleave count) are | ||||||||
| 5645 | // saturated. | ||||||||
| 5646 | unsigned NumStores = Legal->getNumStores(); | ||||||||
| 5647 | unsigned NumLoads = Legal->getNumLoads(); | ||||||||
| 5648 | unsigned StoresIC = IC / (NumStores ? NumStores : 1); | ||||||||
| 5649 | unsigned LoadsIC = IC / (NumLoads ? NumLoads : 1); | ||||||||
| 5650 | |||||||||
| 5651 | // If we have a scalar reduction (vector reductions are already dealt with | ||||||||
| 5652 | // by this point), we can increase the critical path length if the loop | ||||||||
| 5653 | // we're interleaving is inside another loop. Limit, by default to 2, so the | ||||||||
| 5654 | // critical path only gets increased by one reduction operation. | ||||||||
| 5655 | if (HasReductions && TheLoop->getLoopDepth() > 1) { | ||||||||
| 5656 | unsigned F = static_cast<unsigned>(MaxNestedScalarReductionIC); | ||||||||
| 5657 | SmallIC = std::min(SmallIC, F); | ||||||||
| 5658 | StoresIC = std::min(StoresIC, F); | ||||||||
| 5659 | LoadsIC = std::min(LoadsIC, F); | ||||||||
| 5660 | } | ||||||||
| 5661 | |||||||||
| 5662 | if (EnableLoadStoreRuntimeInterleave && | ||||||||
| 5663 | std::max(StoresIC, LoadsIC) > SmallIC) { | ||||||||
| 5664 | LLVM_DEBUG(do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Interleaving to saturate store or load ports.\n" ; } } while (false) | ||||||||
| 5665 | dbgs() << "LV: Interleaving to saturate store or load ports.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Interleaving to saturate store or load ports.\n" ; } } while (false); | ||||||||
| 5666 | return std::max(StoresIC, LoadsIC); | ||||||||
| 5667 | } | ||||||||
| 5668 | |||||||||
| 5669 | // If there are scalar reductions and TTI has enabled aggressive | ||||||||
| 5670 | // interleaving for reductions, we will interleave to expose ILP. | ||||||||
| 5671 | if (InterleaveSmallLoopScalarReduction && VF.isScalar() && | ||||||||
| 5672 | AggressivelyInterleaveReductions) { | ||||||||
| 5673 | LLVM_DEBUG(dbgs() << "LV: Interleaving to expose ILP.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Interleaving to expose ILP.\n" ; } } while (false); | ||||||||
| 5674 | // Interleave no less than SmallIC but not as aggressive as the normal IC | ||||||||
| 5675 | // to satisfy the rare situation when resources are too limited. | ||||||||
| 5676 | return std::max(IC / 2, SmallIC); | ||||||||
| 5677 | } else { | ||||||||
| 5678 | LLVM_DEBUG(dbgs() << "LV: Interleaving to reduce branch cost.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Interleaving to reduce branch cost.\n" ; } } while (false); | ||||||||
| 5679 | return SmallIC; | ||||||||
| 5680 | } | ||||||||
| 5681 | } | ||||||||
| 5682 | |||||||||
| 5683 | // Interleave if this is a large loop (small loops are already dealt with by | ||||||||
| 5684 | // this point) that could benefit from interleaving. | ||||||||
| 5685 | if (AggressivelyInterleaveReductions) { | ||||||||
| 5686 | LLVM_DEBUG(dbgs() << "LV: Interleaving to expose ILP.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Interleaving to expose ILP.\n" ; } } while (false); | ||||||||
| 5687 | return IC; | ||||||||
| 5688 | } | ||||||||
| 5689 | |||||||||
| 5690 | LLVM_DEBUG(dbgs() << "LV: Not Interleaving.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not Interleaving.\n" ; } } while (false); | ||||||||
| 5691 | return 1; | ||||||||
| 5692 | } | ||||||||
| 5693 | |||||||||
| 5694 | SmallVector<LoopVectorizationCostModel::RegisterUsage, 8> | ||||||||
| 5695 | LoopVectorizationCostModel::calculateRegisterUsage(ArrayRef<ElementCount> VFs) { | ||||||||
| 5696 | // This function calculates the register usage by measuring the highest number | ||||||||
| 5697 | // of values that are alive at a single location. Obviously, this is a very | ||||||||
| 5698 | // rough estimation. We scan the loop in a topological order in order and | ||||||||
| 5699 | // assign a number to each instruction. We use RPO to ensure that defs are | ||||||||
| 5700 | // met before their users. We assume that each instruction that has in-loop | ||||||||
| 5701 | // users starts an interval. We record every time that an in-loop value is | ||||||||
| 5702 | // used, so we have a list of the first and last occurrences of each | ||||||||
| 5703 | // instruction. Next, we transpose this data structure into a multi map that | ||||||||
| 5704 | // holds the list of intervals that *end* at a specific location. This multi | ||||||||
| 5705 | // map allows us to perform a linear search. We scan the instructions linearly | ||||||||
| 5706 | // and record each time that a new interval starts, by placing it in a set. | ||||||||
| 5707 | // If we find this value in the multi-map then we remove it from the set. | ||||||||
| 5708 | // The max register usage is the maximum size of the set. | ||||||||
| 5709 | // We also search for instructions that are defined outside the loop, but are | ||||||||
| 5710 | // used inside the loop. We need this number separately from the max-interval | ||||||||
| 5711 | // usage number because when we unroll, loop-invariant values do not take | ||||||||
| 5712 | // more register. | ||||||||
| 5713 | LoopBlocksDFS DFS(TheLoop); | ||||||||
| 5714 | DFS.perform(LI); | ||||||||
| 5715 | |||||||||
| 5716 | RegisterUsage RU; | ||||||||
| 5717 | |||||||||
| 5718 | // Each 'key' in the map opens a new interval. The values | ||||||||
| 5719 | // of the map are the index of the 'last seen' usage of the | ||||||||
| 5720 | // instruction that is the key. | ||||||||
| 5721 | using IntervalMap = DenseMap<Instruction *, unsigned>; | ||||||||
| 5722 | |||||||||
| 5723 | // Maps instruction to its index. | ||||||||
| 5724 | SmallVector<Instruction *, 64> IdxToInstr; | ||||||||
| 5725 | // Marks the end of each interval. | ||||||||
| 5726 | IntervalMap EndPoint; | ||||||||
| 5727 | // Saves the list of instruction indices that are used in the loop. | ||||||||
| 5728 | SmallPtrSet<Instruction *, 8> Ends; | ||||||||
| 5729 | // Saves the list of values that are used in the loop but are | ||||||||
| 5730 | // defined outside the loop, such as arguments and constants. | ||||||||
| 5731 | SmallPtrSet<Value *, 8> LoopInvariants; | ||||||||
| 5732 | |||||||||
| 5733 | for (BasicBlock *BB : make_range(DFS.beginRPO(), DFS.endRPO())) { | ||||||||
| 5734 | for (Instruction &I : BB->instructionsWithoutDebug()) { | ||||||||
| 5735 | IdxToInstr.push_back(&I); | ||||||||
| 5736 | |||||||||
| 5737 | // Save the end location of each USE. | ||||||||
| 5738 | for (Value *U : I.operands()) { | ||||||||
| 5739 | auto *Instr = dyn_cast<Instruction>(U); | ||||||||
| 5740 | |||||||||
| 5741 | // Ignore non-instruction values such as arguments, constants, etc. | ||||||||
| 5742 | if (!Instr) | ||||||||
| 5743 | continue; | ||||||||
| 5744 | |||||||||
| 5745 | // If this instruction is outside the loop then record it and continue. | ||||||||
| 5746 | if (!TheLoop->contains(Instr)) { | ||||||||
| 5747 | LoopInvariants.insert(Instr); | ||||||||
| 5748 | continue; | ||||||||
| 5749 | } | ||||||||
| 5750 | |||||||||
| 5751 | // Overwrite previous end points. | ||||||||
| 5752 | EndPoint[Instr] = IdxToInstr.size(); | ||||||||
| 5753 | Ends.insert(Instr); | ||||||||
| 5754 | } | ||||||||
| 5755 | } | ||||||||
| 5756 | } | ||||||||
| 5757 | |||||||||
| 5758 | // Saves the list of intervals that end with the index in 'key'. | ||||||||
| 5759 | using InstrList = SmallVector<Instruction *, 2>; | ||||||||
| 5760 | DenseMap<unsigned, InstrList> TransposeEnds; | ||||||||
| 5761 | |||||||||
| 5762 | // Transpose the EndPoints to a list of values that end at each index. | ||||||||
| 5763 | for (auto &Interval : EndPoint) | ||||||||
| 5764 | TransposeEnds[Interval.second].push_back(Interval.first); | ||||||||
| 5765 | |||||||||
| 5766 | SmallPtrSet<Instruction *, 8> OpenIntervals; | ||||||||
| 5767 | |||||||||
| 5768 | // Get the size of the widest register. | ||||||||
| 5769 | unsigned MaxSafeDepDist = -1U; | ||||||||
| 5770 | if (Legal->getMaxSafeDepDistBytes() != -1U) | ||||||||
| 5771 | MaxSafeDepDist = Legal->getMaxSafeDepDistBytes() * 8; | ||||||||
| 5772 | unsigned WidestRegister = | ||||||||
| 5773 | std::min(TTI.getRegisterBitWidth(true), MaxSafeDepDist); | ||||||||
| 5774 | const DataLayout &DL = TheFunction->getParent()->getDataLayout(); | ||||||||
| 5775 | |||||||||
| 5776 | SmallVector<RegisterUsage, 8> RUs(VFs.size()); | ||||||||
| 5777 | SmallVector<SmallMapVector<unsigned, unsigned, 4>, 8> MaxUsages(VFs.size()); | ||||||||
| 5778 | |||||||||
| 5779 | LLVM_DEBUG(dbgs() << "LV(REG): Calculating max register usage:\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV(REG): Calculating max register usage:\n" ; } } while (false); | ||||||||
| 5780 | |||||||||
| 5781 | // A lambda that gets the register usage for the given type and VF. | ||||||||
| 5782 | auto GetRegUsage = [&DL, WidestRegister](Type *Ty, ElementCount VF) { | ||||||||
| 5783 | if (Ty->isTokenTy()) | ||||||||
| 5784 | return 0U; | ||||||||
| 5785 | unsigned TypeSize = DL.getTypeSizeInBits(Ty->getScalarType()); | ||||||||
| 5786 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5786, __PRETTY_FUNCTION__)); | ||||||||
| 5787 | return std::max<unsigned>(1, VF.getKnownMinValue() * TypeSize / | ||||||||
| 5788 | WidestRegister); | ||||||||
| 5789 | }; | ||||||||
| 5790 | |||||||||
| 5791 | for (unsigned int i = 0, s = IdxToInstr.size(); i < s; ++i) { | ||||||||
| 5792 | Instruction *I = IdxToInstr[i]; | ||||||||
| 5793 | |||||||||
| 5794 | // Remove all of the instructions that end at this location. | ||||||||
| 5795 | InstrList &List = TransposeEnds[i]; | ||||||||
| 5796 | for (Instruction *ToRemove : List) | ||||||||
| 5797 | OpenIntervals.erase(ToRemove); | ||||||||
| 5798 | |||||||||
| 5799 | // Ignore instructions that are never used within the loop. | ||||||||
| 5800 | if (!Ends.count(I)) | ||||||||
| 5801 | continue; | ||||||||
| 5802 | |||||||||
| 5803 | // Skip ignored values. | ||||||||
| 5804 | if (ValuesToIgnore.count(I)) | ||||||||
| 5805 | continue; | ||||||||
| 5806 | |||||||||
| 5807 | // For each VF find the maximum usage of registers. | ||||||||
| 5808 | for (unsigned j = 0, e = VFs.size(); j < e; ++j) { | ||||||||
| 5809 | // Count the number of live intervals. | ||||||||
| 5810 | SmallMapVector<unsigned, unsigned, 4> RegUsage; | ||||||||
| 5811 | |||||||||
| 5812 | if (VFs[j].isScalar()) { | ||||||||
| 5813 | for (auto Inst : OpenIntervals) { | ||||||||
| 5814 | unsigned ClassID = TTI.getRegisterClassForType(false, Inst->getType()); | ||||||||
| 5815 | if (RegUsage.find(ClassID) == RegUsage.end()) | ||||||||
| 5816 | RegUsage[ClassID] = 1; | ||||||||
| 5817 | else | ||||||||
| 5818 | RegUsage[ClassID] += 1; | ||||||||
| 5819 | } | ||||||||
| 5820 | } else { | ||||||||
| 5821 | collectUniformsAndScalars(VFs[j]); | ||||||||
| 5822 | for (auto Inst : OpenIntervals) { | ||||||||
| 5823 | // Skip ignored values for VF > 1. | ||||||||
| 5824 | if (VecValuesToIgnore.count(Inst)) | ||||||||
| 5825 | continue; | ||||||||
| 5826 | if (isScalarAfterVectorization(Inst, VFs[j])) { | ||||||||
| 5827 | unsigned ClassID = TTI.getRegisterClassForType(false, Inst->getType()); | ||||||||
| 5828 | if (RegUsage.find(ClassID) == RegUsage.end()) | ||||||||
| 5829 | RegUsage[ClassID] = 1; | ||||||||
| 5830 | else | ||||||||
| 5831 | RegUsage[ClassID] += 1; | ||||||||
| 5832 | } else { | ||||||||
| 5833 | unsigned ClassID = TTI.getRegisterClassForType(true, Inst->getType()); | ||||||||
| 5834 | if (RegUsage.find(ClassID) == RegUsage.end()) | ||||||||
| 5835 | RegUsage[ClassID] = GetRegUsage(Inst->getType(), VFs[j]); | ||||||||
| 5836 | else | ||||||||
| 5837 | RegUsage[ClassID] += GetRegUsage(Inst->getType(), VFs[j]); | ||||||||
| 5838 | } | ||||||||
| 5839 | } | ||||||||
| 5840 | } | ||||||||
| 5841 | |||||||||
| 5842 | for (auto& pair : RegUsage) { | ||||||||
| 5843 | if (MaxUsages[j].find(pair.first) != MaxUsages[j].end()) | ||||||||
| 5844 | MaxUsages[j][pair.first] = std::max(MaxUsages[j][pair.first], pair.second); | ||||||||
| 5845 | else | ||||||||
| 5846 | MaxUsages[j][pair.first] = pair.second; | ||||||||
| 5847 | } | ||||||||
| 5848 | } | ||||||||
| 5849 | |||||||||
| 5850 | LLVM_DEBUG(dbgs() << "LV(REG): At #" << i << " Interval # "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV(REG): At #" << i << " Interval # " << OpenIntervals.size() << '\n'; } } while (false) | ||||||||
| 5851 | << OpenIntervals.size() << '\n')do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV(REG): At #" << i << " Interval # " << OpenIntervals.size() << '\n'; } } while (false); | ||||||||
| 5852 | |||||||||
| 5853 | // Add the current instruction to the list of open intervals. | ||||||||
| 5854 | OpenIntervals.insert(I); | ||||||||
| 5855 | } | ||||||||
| 5856 | |||||||||
| 5857 | for (unsigned i = 0, e = VFs.size(); i < e; ++i) { | ||||||||
| 5858 | SmallMapVector<unsigned, unsigned, 4> Invariant; | ||||||||
| 5859 | |||||||||
| 5860 | for (auto Inst : LoopInvariants) { | ||||||||
| 5861 | unsigned Usage = | ||||||||
| 5862 | VFs[i].isScalar() ? 1 : GetRegUsage(Inst->getType(), VFs[i]); | ||||||||
| 5863 | unsigned ClassID = | ||||||||
| 5864 | TTI.getRegisterClassForType(VFs[i].isVector(), Inst->getType()); | ||||||||
| 5865 | if (Invariant.find(ClassID) == Invariant.end()) | ||||||||
| 5866 | Invariant[ClassID] = Usage; | ||||||||
| 5867 | else | ||||||||
| 5868 | Invariant[ClassID] += Usage; | ||||||||
| 5869 | } | ||||||||
| 5870 | |||||||||
| 5871 | LLVM_DEBUG({do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5872 | dbgs() << "LV(REG): VF = " << VFs[i] << '\n';do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5873 | dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size()do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5874 | << " item\n";do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5875 | for (const auto &pair : MaxUsages[i]) {do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5876 | dbgs() << "LV(REG): RegisterClass: "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5877 | << TTI.getRegisterClassName(pair.first) << ", " << pair.seconddo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5878 | << " registers\n";do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5879 | }do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5880 | dbgs() << "LV(REG): Found invariant usage: " << Invariant.size()do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5881 | << " item\n";do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5882 | for (const auto &pair : Invariant) {do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5883 | dbgs() << "LV(REG): RegisterClass: "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5884 | << TTI.getRegisterClassName(pair.first) << ", " << pair.seconddo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5885 | << " registers\n";do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5886 | }do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false) | ||||||||
| 5887 | })do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { { dbgs() << "LV(REG): VF = " << VFs[i] << '\n'; dbgs() << "LV(REG): Found max usage: " << MaxUsages[i].size() << " item\n"; for (const auto &pair : MaxUsages[i]) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } dbgs() << "LV(REG): Found invariant usage: " << Invariant.size() << " item\n"; for (const auto &pair : Invariant) { dbgs() << "LV(REG): RegisterClass: " << TTI.getRegisterClassName(pair.first) << ", " << pair.second << " registers\n"; } }; } } while (false); | ||||||||
| 5888 | |||||||||
| 5889 | RU.LoopInvariantRegs = Invariant; | ||||||||
| 5890 | RU.MaxLocalUsers = MaxUsages[i]; | ||||||||
| 5891 | RUs[i] = RU; | ||||||||
| 5892 | } | ||||||||
| 5893 | |||||||||
| 5894 | return RUs; | ||||||||
| 5895 | } | ||||||||
| 5896 | |||||||||
| 5897 | bool LoopVectorizationCostModel::useEmulatedMaskMemRefHack(Instruction *I){ | ||||||||
| 5898 | // TODO: Cost model for emulated masked load/store is completely | ||||||||
| 5899 | // broken. This hack guides the cost model to use an artificially | ||||||||
| 5900 | // high enough value to practically disable vectorization with such | ||||||||
| 5901 | // operations, except where previously deployed legality hack allowed | ||||||||
| 5902 | // using very low cost values. This is to avoid regressions coming simply | ||||||||
| 5903 | // from moving "masked load/store" check from legality to cost model. | ||||||||
| 5904 | // Masked Load/Gather emulation was previously never allowed. | ||||||||
| 5905 | // Limited number of Masked Store/Scatter emulation was allowed. | ||||||||
| 5906 | assert(isPredicatedInst(I) && "Expecting a scalar emulated instruction")((isPredicatedInst(I) && "Expecting a scalar emulated instruction" ) ? static_cast<void> (0) : __assert_fail ("isPredicatedInst(I) && \"Expecting a scalar emulated instruction\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5906, __PRETTY_FUNCTION__)); | ||||||||
| 5907 | return isa<LoadInst>(I) || | ||||||||
| 5908 | (isa<StoreInst>(I) && | ||||||||
| 5909 | NumPredStores > NumberOfStoresToPredicate); | ||||||||
| 5910 | } | ||||||||
| 5911 | |||||||||
| 5912 | void LoopVectorizationCostModel::collectInstsToScalarize(ElementCount VF) { | ||||||||
| 5913 | // If we aren't vectorizing the loop, or if we've already collected the | ||||||||
| 5914 | // instructions to scalarize, there's nothing to do. Collection may already | ||||||||
| 5915 | // have occurred if we have a user-selected VF and are now computing the | ||||||||
| 5916 | // expected cost for interleaving. | ||||||||
| 5917 | if (VF.isScalar() || VF.isZero() || | ||||||||
| 5918 | InstsToScalarize.find(VF) != InstsToScalarize.end()) | ||||||||
| 5919 | return; | ||||||||
| 5920 | |||||||||
| 5921 | // Initialize a mapping for VF in InstsToScalalarize. If we find that it's | ||||||||
| 5922 | // not profitable to scalarize any instructions, the presence of VF in the | ||||||||
| 5923 | // map will indicate that we've analyzed it already. | ||||||||
| 5924 | ScalarCostsTy &ScalarCostsVF = InstsToScalarize[VF]; | ||||||||
| 5925 | |||||||||
| 5926 | // Find all the instructions that are scalar with predication in the loop and | ||||||||
| 5927 | // determine if it would be better to not if-convert the blocks they are in. | ||||||||
| 5928 | // If so, we also record the instructions to scalarize. | ||||||||
| 5929 | for (BasicBlock *BB : TheLoop->blocks()) { | ||||||||
| 5930 | if (!blockNeedsPredication(BB)) | ||||||||
| 5931 | continue; | ||||||||
| 5932 | for (Instruction &I : *BB) | ||||||||
| 5933 | if (isScalarWithPredication(&I)) { | ||||||||
| 5934 | ScalarCostsTy ScalarCosts; | ||||||||
| 5935 | // Do not apply discount logic if hacked cost is needed | ||||||||
| 5936 | // for emulated masked memrefs. | ||||||||
| 5937 | if (!useEmulatedMaskMemRefHack(&I) && | ||||||||
| 5938 | computePredInstDiscount(&I, ScalarCosts, VF) >= 0) | ||||||||
| 5939 | ScalarCostsVF.insert(ScalarCosts.begin(), ScalarCosts.end()); | ||||||||
| 5940 | // Remember that BB will remain after vectorization. | ||||||||
| 5941 | PredicatedBBsAfterVectorization.insert(BB); | ||||||||
| 5942 | } | ||||||||
| 5943 | } | ||||||||
| 5944 | } | ||||||||
| 5945 | |||||||||
| 5946 | int LoopVectorizationCostModel::computePredInstDiscount( | ||||||||
| 5947 | Instruction *PredInst, DenseMap<Instruction *, unsigned> &ScalarCosts, | ||||||||
| 5948 | ElementCount VF) { | ||||||||
| 5949 | assert(!isUniformAfterVectorization(PredInst, VF) &&((!isUniformAfterVectorization(PredInst, VF) && "Instruction marked uniform-after-vectorization will be predicated" ) ? static_cast<void> (0) : __assert_fail ("!isUniformAfterVectorization(PredInst, VF) && \"Instruction marked uniform-after-vectorization will be predicated\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5950, __PRETTY_FUNCTION__)) | ||||||||
| 5950 | "Instruction marked uniform-after-vectorization will be predicated")((!isUniformAfterVectorization(PredInst, VF) && "Instruction marked uniform-after-vectorization will be predicated" ) ? static_cast<void> (0) : __assert_fail ("!isUniformAfterVectorization(PredInst, VF) && \"Instruction marked uniform-after-vectorization will be predicated\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 5950, __PRETTY_FUNCTION__)); | ||||||||
| 5951 | |||||||||
| 5952 | // Initialize the discount to zero, meaning that the scalar version and the | ||||||||
| 5953 | // vector version cost the same. | ||||||||
| 5954 | int Discount = 0; | ||||||||
| 5955 | |||||||||
| 5956 | // Holds instructions to analyze. The instructions we visit are mapped in | ||||||||
| 5957 | // ScalarCosts. Those instructions are the ones that would be scalarized if | ||||||||
| 5958 | // we find that the scalar version costs less. | ||||||||
| 5959 | SmallVector<Instruction *, 8> Worklist; | ||||||||
| 5960 | |||||||||
| 5961 | // Returns true if the given instruction can be scalarized. | ||||||||
| 5962 | auto canBeScalarized = [&](Instruction *I) -> bool { | ||||||||
| 5963 | // We only attempt to scalarize instructions forming a single-use chain | ||||||||
| 5964 | // from the original predicated block that would otherwise be vectorized. | ||||||||
| 5965 | // Although not strictly necessary, we give up on instructions we know will | ||||||||
| 5966 | // already be scalar to avoid traversing chains that are unlikely to be | ||||||||
| 5967 | // beneficial. | ||||||||
| 5968 | if (!I->hasOneUse() || PredInst->getParent() != I->getParent() || | ||||||||
| 5969 | isScalarAfterVectorization(I, VF)) | ||||||||
| 5970 | return false; | ||||||||
| 5971 | |||||||||
| 5972 | // If the instruction is scalar with predication, it will be analyzed | ||||||||
| 5973 | // separately. We ignore it within the context of PredInst. | ||||||||
| 5974 | if (isScalarWithPredication(I)) | ||||||||
| 5975 | return false; | ||||||||
| 5976 | |||||||||
| 5977 | // If any of the instruction's operands are uniform after vectorization, | ||||||||
| 5978 | // the instruction cannot be scalarized. This prevents, for example, a | ||||||||
| 5979 | // masked load from being scalarized. | ||||||||
| 5980 | // | ||||||||
| 5981 | // We assume we will only emit a value for lane zero of an instruction | ||||||||
| 5982 | // marked uniform after vectorization, rather than VF identical values. | ||||||||
| 5983 | // Thus, if we scalarize an instruction that uses a uniform, we would | ||||||||
| 5984 | // create uses of values corresponding to the lanes we aren't emitting code | ||||||||
| 5985 | // for. This behavior can be changed by allowing getScalarValue to clone | ||||||||
| 5986 | // the lane zero values for uniforms rather than asserting. | ||||||||
| 5987 | for (Use &U : I->operands()) | ||||||||
| 5988 | if (auto *J = dyn_cast<Instruction>(U.get())) | ||||||||
| 5989 | if (isUniformAfterVectorization(J, VF)) | ||||||||
| 5990 | return false; | ||||||||
| 5991 | |||||||||
| 5992 | // Otherwise, we can scalarize the instruction. | ||||||||
| 5993 | return true; | ||||||||
| 5994 | }; | ||||||||
| 5995 | |||||||||
| 5996 | // Compute the expected cost discount from scalarizing the entire expression | ||||||||
| 5997 | // feeding the predicated instruction. We currently only consider expressions | ||||||||
| 5998 | // that are single-use instruction chains. | ||||||||
| 5999 | Worklist.push_back(PredInst); | ||||||||
| 6000 | while (!Worklist.empty()) { | ||||||||
| 6001 | Instruction *I = Worklist.pop_back_val(); | ||||||||
| 6002 | |||||||||
| 6003 | // If we've already analyzed the instruction, there's nothing to do. | ||||||||
| 6004 | if (ScalarCosts.find(I) != ScalarCosts.end()) | ||||||||
| 6005 | continue; | ||||||||
| 6006 | |||||||||
| 6007 | // Compute the cost of the vector instruction. Note that this cost already | ||||||||
| 6008 | // includes the scalarization overhead of the predicated instruction. | ||||||||
| 6009 | unsigned VectorCost = getInstructionCost(I, VF).first; | ||||||||
| 6010 | |||||||||
| 6011 | // Compute the cost of the scalarized instruction. This cost is the cost of | ||||||||
| 6012 | // the instruction as if it wasn't if-converted and instead remained in the | ||||||||
| 6013 | // predicated block. We will scale this cost by block probability after | ||||||||
| 6014 | // computing the scalarization overhead. | ||||||||
| 6015 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6015, __PRETTY_FUNCTION__)); | ||||||||
| 6016 | unsigned ScalarCost = | ||||||||
| 6017 | VF.getKnownMinValue() * | ||||||||
| 6018 | getInstructionCost(I, ElementCount::getFixed(1)).first; | ||||||||
| 6019 | |||||||||
| 6020 | // Compute the scalarization overhead of needed insertelement instructions | ||||||||
| 6021 | // and phi nodes. | ||||||||
| 6022 | if (isScalarWithPredication(I) && !I->getType()->isVoidTy()) { | ||||||||
| 6023 | ScalarCost += TTI.getScalarizationOverhead( | ||||||||
| 6024 | cast<VectorType>(ToVectorTy(I->getType(), VF)), | ||||||||
| 6025 | APInt::getAllOnesValue(VF.getKnownMinValue()), true, false); | ||||||||
| 6026 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6026, __PRETTY_FUNCTION__)); | ||||||||
| 6027 | ScalarCost += | ||||||||
| 6028 | VF.getKnownMinValue() * | ||||||||
| 6029 | TTI.getCFInstrCost(Instruction::PHI, TTI::TCK_RecipThroughput); | ||||||||
| 6030 | } | ||||||||
| 6031 | |||||||||
| 6032 | // Compute the scalarization overhead of needed extractelement | ||||||||
| 6033 | // instructions. For each of the instruction's operands, if the operand can | ||||||||
| 6034 | // be scalarized, add it to the worklist; otherwise, account for the | ||||||||
| 6035 | // overhead. | ||||||||
| 6036 | for (Use &U : I->operands()) | ||||||||
| 6037 | if (auto *J = dyn_cast<Instruction>(U.get())) { | ||||||||
| 6038 | assert(VectorType::isValidElementType(J->getType()) &&((VectorType::isValidElementType(J->getType()) && "Instruction has non-scalar type" ) ? static_cast<void> (0) : __assert_fail ("VectorType::isValidElementType(J->getType()) && \"Instruction has non-scalar type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6039, __PRETTY_FUNCTION__)) | ||||||||
| 6039 | "Instruction has non-scalar type")((VectorType::isValidElementType(J->getType()) && "Instruction has non-scalar type" ) ? static_cast<void> (0) : __assert_fail ("VectorType::isValidElementType(J->getType()) && \"Instruction has non-scalar type\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6039, __PRETTY_FUNCTION__)); | ||||||||
| 6040 | if (canBeScalarized(J)) | ||||||||
| 6041 | Worklist.push_back(J); | ||||||||
| 6042 | else if (needsExtract(J, VF)) { | ||||||||
| 6043 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6043, __PRETTY_FUNCTION__)); | ||||||||
| 6044 | ScalarCost += TTI.getScalarizationOverhead( | ||||||||
| 6045 | cast<VectorType>(ToVectorTy(J->getType(), VF)), | ||||||||
| 6046 | APInt::getAllOnesValue(VF.getKnownMinValue()), false, true); | ||||||||
| 6047 | } | ||||||||
| 6048 | } | ||||||||
| 6049 | |||||||||
| 6050 | // Scale the total scalar cost by block probability. | ||||||||
| 6051 | ScalarCost /= getReciprocalPredBlockProb(); | ||||||||
| 6052 | |||||||||
| 6053 | // Compute the discount. A non-negative discount means the vector version | ||||||||
| 6054 | // of the instruction costs more, and scalarizing would be beneficial. | ||||||||
| 6055 | Discount += VectorCost - ScalarCost; | ||||||||
| 6056 | ScalarCosts[I] = ScalarCost; | ||||||||
| 6057 | } | ||||||||
| 6058 | |||||||||
| 6059 | return Discount; | ||||||||
| 6060 | } | ||||||||
| 6061 | |||||||||
| 6062 | LoopVectorizationCostModel::VectorizationCostTy | ||||||||
| 6063 | LoopVectorizationCostModel::expectedCost(ElementCount VF) { | ||||||||
| 6064 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6064, __PRETTY_FUNCTION__)); | ||||||||
| 6065 | VectorizationCostTy Cost; | ||||||||
| 6066 | |||||||||
| 6067 | // For each block. | ||||||||
| 6068 | for (BasicBlock *BB : TheLoop->blocks()) { | ||||||||
| 6069 | VectorizationCostTy BlockCost; | ||||||||
| 6070 | |||||||||
| 6071 | // For each instruction in the old loop. | ||||||||
| 6072 | for (Instruction &I : BB->instructionsWithoutDebug()) { | ||||||||
| 6073 | // Skip ignored values. | ||||||||
| 6074 | if (ValuesToIgnore.count(&I) || | ||||||||
| 6075 | (VF.isVector() && VecValuesToIgnore.count(&I))) | ||||||||
| 6076 | continue; | ||||||||
| 6077 | |||||||||
| 6078 | VectorizationCostTy C = getInstructionCost(&I, VF); | ||||||||
| 6079 | |||||||||
| 6080 | // Check if we should override the cost. | ||||||||
| 6081 | if (ForceTargetInstructionCost.getNumOccurrences() > 0) | ||||||||
| 6082 | C.first = ForceTargetInstructionCost; | ||||||||
| 6083 | |||||||||
| 6084 | BlockCost.first += C.first; | ||||||||
| 6085 | BlockCost.second |= C.second; | ||||||||
| 6086 | LLVM_DEBUG(dbgs() << "LV: Found an estimated cost of " << C.firstdo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found an estimated cost of " << C.first << " for VF " << VF << " For instruction: " << I << '\n'; } } while (false) | ||||||||
| 6087 | << " for VF " << VF << " For instruction: " << Ido { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found an estimated cost of " << C.first << " for VF " << VF << " For instruction: " << I << '\n'; } } while (false) | ||||||||
| 6088 | << '\n')do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found an estimated cost of " << C.first << " for VF " << VF << " For instruction: " << I << '\n'; } } while (false); | ||||||||
| 6089 | } | ||||||||
| 6090 | |||||||||
| 6091 | // If we are vectorizing a predicated block, it will have been | ||||||||
| 6092 | // if-converted. This means that the block's instructions (aside from | ||||||||
| 6093 | // stores and instructions that may divide by zero) will now be | ||||||||
| 6094 | // unconditionally executed. For the scalar case, we may not always execute | ||||||||
| 6095 | // the predicated block. Thus, scale the block's cost by the probability of | ||||||||
| 6096 | // executing it. | ||||||||
| 6097 | if (VF.isScalar() && blockNeedsPredication(BB)) | ||||||||
| 6098 | BlockCost.first /= getReciprocalPredBlockProb(); | ||||||||
| 6099 | |||||||||
| 6100 | Cost.first += BlockCost.first; | ||||||||
| 6101 | Cost.second |= BlockCost.second; | ||||||||
| 6102 | } | ||||||||
| 6103 | |||||||||
| 6104 | return Cost; | ||||||||
| 6105 | } | ||||||||
| 6106 | |||||||||
| 6107 | /// Gets Address Access SCEV after verifying that the access pattern | ||||||||
| 6108 | /// is loop invariant except the induction variable dependence. | ||||||||
| 6109 | /// | ||||||||
| 6110 | /// This SCEV can be sent to the Target in order to estimate the address | ||||||||
| 6111 | /// calculation cost. | ||||||||
| 6112 | static const SCEV *getAddressAccessSCEV( | ||||||||
| 6113 | Value *Ptr, | ||||||||
| 6114 | LoopVectorizationLegality *Legal, | ||||||||
| 6115 | PredicatedScalarEvolution &PSE, | ||||||||
| 6116 | const Loop *TheLoop) { | ||||||||
| 6117 | |||||||||
| 6118 | auto *Gep = dyn_cast<GetElementPtrInst>(Ptr); | ||||||||
| 6119 | if (!Gep) | ||||||||
| 6120 | return nullptr; | ||||||||
| 6121 | |||||||||
| 6122 | // We are looking for a gep with all loop invariant indices except for one | ||||||||
| 6123 | // which should be an induction variable. | ||||||||
| 6124 | auto SE = PSE.getSE(); | ||||||||
| 6125 | unsigned NumOperands = Gep->getNumOperands(); | ||||||||
| 6126 | for (unsigned i = 1; i < NumOperands; ++i) { | ||||||||
| 6127 | Value *Opd = Gep->getOperand(i); | ||||||||
| 6128 | if (!SE->isLoopInvariant(SE->getSCEV(Opd), TheLoop) && | ||||||||
| 6129 | !Legal->isInductionVariable(Opd)) | ||||||||
| 6130 | return nullptr; | ||||||||
| 6131 | } | ||||||||
| 6132 | |||||||||
| 6133 | // Now we know we have a GEP ptr, %inv, %ind, %inv. return the Ptr SCEV. | ||||||||
| 6134 | return PSE.getSCEV(Ptr); | ||||||||
| 6135 | } | ||||||||
| 6136 | |||||||||
| 6137 | static bool isStrideMul(Instruction *I, LoopVectorizationLegality *Legal) { | ||||||||
| 6138 | return Legal->hasStride(I->getOperand(0)) || | ||||||||
| 6139 | Legal->hasStride(I->getOperand(1)); | ||||||||
| 6140 | } | ||||||||
| 6141 | |||||||||
| 6142 | unsigned | ||||||||
| 6143 | LoopVectorizationCostModel::getMemInstScalarizationCost(Instruction *I, | ||||||||
| 6144 | ElementCount VF) { | ||||||||
| 6145 | assert(VF.isVector() &&((VF.isVector() && "Scalarization cost of instruction implies vectorization." ) ? static_cast<void> (0) : __assert_fail ("VF.isVector() && \"Scalarization cost of instruction implies vectorization.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6146, __PRETTY_FUNCTION__)) | ||||||||
| 6146 | "Scalarization cost of instruction implies vectorization.")((VF.isVector() && "Scalarization cost of instruction implies vectorization." ) ? static_cast<void> (0) : __assert_fail ("VF.isVector() && \"Scalarization cost of instruction implies vectorization.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6146, __PRETTY_FUNCTION__)); | ||||||||
| 6147 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6147, __PRETTY_FUNCTION__)); | ||||||||
| 6148 | Type *ValTy = getMemInstValueType(I); | ||||||||
| 6149 | auto SE = PSE.getSE(); | ||||||||
| 6150 | |||||||||
| 6151 | unsigned AS = getLoadStoreAddressSpace(I); | ||||||||
| 6152 | Value *Ptr = getLoadStorePointerOperand(I); | ||||||||
| 6153 | Type *PtrTy = ToVectorTy(Ptr->getType(), VF); | ||||||||
| 6154 | |||||||||
| 6155 | // Figure out whether the access is strided and get the stride value | ||||||||
| 6156 | // if it's known in compile time | ||||||||
| 6157 | const SCEV *PtrSCEV = getAddressAccessSCEV(Ptr, Legal, PSE, TheLoop); | ||||||||
| 6158 | |||||||||
| 6159 | // Get the cost of the scalar memory instruction and address computation. | ||||||||
| 6160 | unsigned Cost = | ||||||||
| 6161 | VF.getKnownMinValue() * TTI.getAddressComputationCost(PtrTy, SE, PtrSCEV); | ||||||||
| 6162 | |||||||||
| 6163 | // Don't pass *I here, since it is scalar but will actually be part of a | ||||||||
| 6164 | // vectorized loop where the user of it is a vectorized instruction. | ||||||||
| 6165 | const Align Alignment = getLoadStoreAlignment(I); | ||||||||
| 6166 | Cost += VF.getKnownMinValue() * | ||||||||
| 6167 | TTI.getMemoryOpCost(I->getOpcode(), ValTy->getScalarType(), Alignment, | ||||||||
| 6168 | AS, TTI::TCK_RecipThroughput); | ||||||||
| 6169 | |||||||||
| 6170 | // Get the overhead of the extractelement and insertelement instructions | ||||||||
| 6171 | // we might create due to scalarization. | ||||||||
| 6172 | Cost += getScalarizationOverhead(I, VF); | ||||||||
| 6173 | |||||||||
| 6174 | // If we have a predicated store, it may not be executed for each vector | ||||||||
| 6175 | // lane. Scale the cost by the probability of executing the predicated | ||||||||
| 6176 | // block. | ||||||||
| 6177 | if (isPredicatedInst(I)) { | ||||||||
| 6178 | Cost /= getReciprocalPredBlockProb(); | ||||||||
| 6179 | |||||||||
| 6180 | if (useEmulatedMaskMemRefHack(I)) | ||||||||
| 6181 | // Artificially setting to a high enough value to practically disable | ||||||||
| 6182 | // vectorization with such operations. | ||||||||
| 6183 | Cost = 3000000; | ||||||||
| 6184 | } | ||||||||
| 6185 | |||||||||
| 6186 | return Cost; | ||||||||
| 6187 | } | ||||||||
| 6188 | |||||||||
| 6189 | unsigned LoopVectorizationCostModel::getConsecutiveMemOpCost(Instruction *I, | ||||||||
| 6190 | ElementCount VF) { | ||||||||
| 6191 | Type *ValTy = getMemInstValueType(I); | ||||||||
| 6192 | auto *VectorTy = cast<VectorType>(ToVectorTy(ValTy, VF)); | ||||||||
| 6193 | Value *Ptr = getLoadStorePointerOperand(I); | ||||||||
| 6194 | unsigned AS = getLoadStoreAddressSpace(I); | ||||||||
| 6195 | int ConsecutiveStride = Legal->isConsecutivePtr(Ptr); | ||||||||
| 6196 | enum TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput; | ||||||||
| 6197 | |||||||||
| 6198 | assert((ConsecutiveStride == 1 || ConsecutiveStride == -1) &&(((ConsecutiveStride == 1 || ConsecutiveStride == -1) && "Stride should be 1 or -1 for consecutive memory access") ? static_cast <void> (0) : __assert_fail ("(ConsecutiveStride == 1 || ConsecutiveStride == -1) && \"Stride should be 1 or -1 for consecutive memory access\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6199, __PRETTY_FUNCTION__)) | ||||||||
| 6199 | "Stride should be 1 or -1 for consecutive memory access")(((ConsecutiveStride == 1 || ConsecutiveStride == -1) && "Stride should be 1 or -1 for consecutive memory access") ? static_cast <void> (0) : __assert_fail ("(ConsecutiveStride == 1 || ConsecutiveStride == -1) && \"Stride should be 1 or -1 for consecutive memory access\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6199, __PRETTY_FUNCTION__)); | ||||||||
| 6200 | const Align Alignment = getLoadStoreAlignment(I); | ||||||||
| 6201 | unsigned Cost = 0; | ||||||||
| 6202 | if (Legal->isMaskRequired(I)) | ||||||||
| 6203 | Cost += TTI.getMaskedMemoryOpCost(I->getOpcode(), VectorTy, Alignment, AS, | ||||||||
| 6204 | CostKind); | ||||||||
| 6205 | else | ||||||||
| 6206 | Cost += TTI.getMemoryOpCost(I->getOpcode(), VectorTy, Alignment, AS, | ||||||||
| 6207 | CostKind, I); | ||||||||
| 6208 | |||||||||
| 6209 | bool Reverse = ConsecutiveStride < 0; | ||||||||
| 6210 | if (Reverse) | ||||||||
| 6211 | Cost += TTI.getShuffleCost(TargetTransformInfo::SK_Reverse, VectorTy, 0); | ||||||||
| 6212 | return Cost; | ||||||||
| 6213 | } | ||||||||
| 6214 | |||||||||
| 6215 | unsigned LoopVectorizationCostModel::getUniformMemOpCost(Instruction *I, | ||||||||
| 6216 | ElementCount VF) { | ||||||||
| 6217 | Type *ValTy = getMemInstValueType(I); | ||||||||
| 6218 | auto *VectorTy = cast<VectorType>(ToVectorTy(ValTy, VF)); | ||||||||
| 6219 | const Align Alignment = getLoadStoreAlignment(I); | ||||||||
| 6220 | unsigned AS = getLoadStoreAddressSpace(I); | ||||||||
| 6221 | enum TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput; | ||||||||
| 6222 | if (isa<LoadInst>(I)) { | ||||||||
| 6223 | return TTI.getAddressComputationCost(ValTy) + | ||||||||
| 6224 | TTI.getMemoryOpCost(Instruction::Load, ValTy, Alignment, AS, | ||||||||
| 6225 | CostKind) + | ||||||||
| 6226 | TTI.getShuffleCost(TargetTransformInfo::SK_Broadcast, VectorTy); | ||||||||
| 6227 | } | ||||||||
| 6228 | StoreInst *SI = cast<StoreInst>(I); | ||||||||
| 6229 | |||||||||
| 6230 | bool isLoopInvariantStoreValue = Legal->isUniform(SI->getValueOperand()); | ||||||||
| 6231 | return TTI.getAddressComputationCost(ValTy) + | ||||||||
| 6232 | TTI.getMemoryOpCost(Instruction::Store, ValTy, Alignment, AS, | ||||||||
| 6233 | CostKind) + | ||||||||
| 6234 | (isLoopInvariantStoreValue | ||||||||
| 6235 | ? 0 | ||||||||
| 6236 | : TTI.getVectorInstrCost(Instruction::ExtractElement, VectorTy, | ||||||||
| 6237 | VF.getKnownMinValue() - 1)); | ||||||||
| 6238 | } | ||||||||
| 6239 | |||||||||
| 6240 | unsigned LoopVectorizationCostModel::getGatherScatterCost(Instruction *I, | ||||||||
| 6241 | ElementCount VF) { | ||||||||
| 6242 | Type *ValTy = getMemInstValueType(I); | ||||||||
| 6243 | auto *VectorTy = cast<VectorType>(ToVectorTy(ValTy, VF)); | ||||||||
| 6244 | const Align Alignment = getLoadStoreAlignment(I); | ||||||||
| 6245 | const Value *Ptr = getLoadStorePointerOperand(I); | ||||||||
| 6246 | |||||||||
| 6247 | return TTI.getAddressComputationCost(VectorTy) + | ||||||||
| 6248 | TTI.getGatherScatterOpCost( | ||||||||
| 6249 | I->getOpcode(), VectorTy, Ptr, Legal->isMaskRequired(I), Alignment, | ||||||||
| 6250 | TargetTransformInfo::TCK_RecipThroughput, I); | ||||||||
| 6251 | } | ||||||||
| 6252 | |||||||||
| 6253 | unsigned LoopVectorizationCostModel::getInterleaveGroupCost(Instruction *I, | ||||||||
| 6254 | ElementCount VF) { | ||||||||
| 6255 | Type *ValTy = getMemInstValueType(I); | ||||||||
| 6256 | auto *VectorTy = cast<VectorType>(ToVectorTy(ValTy, VF)); | ||||||||
| 6257 | unsigned AS = getLoadStoreAddressSpace(I); | ||||||||
| 6258 | |||||||||
| 6259 | auto Group = getInterleavedAccessGroup(I); | ||||||||
| 6260 | assert(Group && "Fail to get an interleaved access group.")((Group && "Fail to get an interleaved access group." ) ? static_cast<void> (0) : __assert_fail ("Group && \"Fail to get an interleaved access group.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6260, __PRETTY_FUNCTION__)); | ||||||||
| 6261 | |||||||||
| 6262 | unsigned InterleaveFactor = Group->getFactor(); | ||||||||
| 6263 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6263, __PRETTY_FUNCTION__)); | ||||||||
| 6264 | auto *WideVecTy = VectorType::get(ValTy, VF * InterleaveFactor); | ||||||||
| 6265 | |||||||||
| 6266 | // Holds the indices of existing members in an interleaved load group. | ||||||||
| 6267 | // An interleaved store group doesn't need this as it doesn't allow gaps. | ||||||||
| 6268 | SmallVector<unsigned, 4> Indices; | ||||||||
| 6269 | if (isa<LoadInst>(I)) { | ||||||||
| 6270 | for (unsigned i = 0; i < InterleaveFactor; i++) | ||||||||
| 6271 | if (Group->getMember(i)) | ||||||||
| 6272 | Indices.push_back(i); | ||||||||
| 6273 | } | ||||||||
| 6274 | |||||||||
| 6275 | // Calculate the cost of the whole interleaved group. | ||||||||
| 6276 | bool UseMaskForGaps = | ||||||||
| 6277 | Group->requiresScalarEpilogue() && !isScalarEpilogueAllowed(); | ||||||||
| 6278 | unsigned Cost = TTI.getInterleavedMemoryOpCost( | ||||||||
| 6279 | I->getOpcode(), WideVecTy, Group->getFactor(), Indices, Group->getAlign(), | ||||||||
| 6280 | AS, TTI::TCK_RecipThroughput, Legal->isMaskRequired(I), UseMaskForGaps); | ||||||||
| 6281 | |||||||||
| 6282 | if (Group->isReverse()) { | ||||||||
| 6283 | // TODO: Add support for reversed masked interleaved access. | ||||||||
| 6284 | assert(!Legal->isMaskRequired(I) &&((!Legal->isMaskRequired(I) && "Reverse masked interleaved access not supported." ) ? static_cast<void> (0) : __assert_fail ("!Legal->isMaskRequired(I) && \"Reverse masked interleaved access not supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6285, __PRETTY_FUNCTION__)) | ||||||||
| 6285 | "Reverse masked interleaved access not supported.")((!Legal->isMaskRequired(I) && "Reverse masked interleaved access not supported." ) ? static_cast<void> (0) : __assert_fail ("!Legal->isMaskRequired(I) && \"Reverse masked interleaved access not supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6285, __PRETTY_FUNCTION__)); | ||||||||
| 6286 | Cost += Group->getNumMembers() * | ||||||||
| 6287 | TTI.getShuffleCost(TargetTransformInfo::SK_Reverse, VectorTy, 0); | ||||||||
| 6288 | } | ||||||||
| 6289 | return Cost; | ||||||||
| 6290 | } | ||||||||
| 6291 | |||||||||
| 6292 | unsigned LoopVectorizationCostModel::getMemoryInstructionCost(Instruction *I, | ||||||||
| 6293 | ElementCount VF) { | ||||||||
| 6294 | // Calculate scalar cost only. Vectorization cost should be ready at this | ||||||||
| 6295 | // moment. | ||||||||
| 6296 | if (VF.isScalar()) { | ||||||||
| 6297 | Type *ValTy = getMemInstValueType(I); | ||||||||
| 6298 | const Align Alignment = getLoadStoreAlignment(I); | ||||||||
| 6299 | unsigned AS = getLoadStoreAddressSpace(I); | ||||||||
| 6300 | |||||||||
| 6301 | return TTI.getAddressComputationCost(ValTy) + | ||||||||
| 6302 | TTI.getMemoryOpCost(I->getOpcode(), ValTy, Alignment, AS, | ||||||||
| 6303 | TTI::TCK_RecipThroughput, I); | ||||||||
| 6304 | } | ||||||||
| 6305 | return getWideningCost(I, VF); | ||||||||
| 6306 | } | ||||||||
| 6307 | |||||||||
| 6308 | LoopVectorizationCostModel::VectorizationCostTy | ||||||||
| 6309 | LoopVectorizationCostModel::getInstructionCost(Instruction *I, | ||||||||
| 6310 | ElementCount VF) { | ||||||||
| 6311 | assert(!VF.isScalable() &&((!VF.isScalable() && "the cost model is not yet implemented for scalable vectorization" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"the cost model is not yet implemented for scalable vectorization\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6312, __PRETTY_FUNCTION__)) | ||||||||
| 6312 | "the cost model is not yet implemented for scalable vectorization")((!VF.isScalable() && "the cost model is not yet implemented for scalable vectorization" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"the cost model is not yet implemented for scalable vectorization\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6312, __PRETTY_FUNCTION__)); | ||||||||
| 6313 | // If we know that this instruction will remain uniform, check the cost of | ||||||||
| 6314 | // the scalar version. | ||||||||
| 6315 | if (isUniformAfterVectorization(I, VF)) | ||||||||
| 6316 | VF = ElementCount::getFixed(1); | ||||||||
| 6317 | |||||||||
| 6318 | if (VF.isVector() && isProfitableToScalarize(I, VF)) | ||||||||
| 6319 | return VectorizationCostTy(InstsToScalarize[VF][I], false); | ||||||||
| 6320 | |||||||||
| 6321 | // Forced scalars do not have any scalarization overhead. | ||||||||
| 6322 | auto ForcedScalar = ForcedScalars.find(VF); | ||||||||
| 6323 | if (VF.isVector() && ForcedScalar != ForcedScalars.end()) { | ||||||||
| 6324 | auto InstSet = ForcedScalar->second; | ||||||||
| 6325 | if (InstSet.count(I)) | ||||||||
| 6326 | return VectorizationCostTy( | ||||||||
| 6327 | (getInstructionCost(I, ElementCount::getFixed(1)).first * | ||||||||
| 6328 | VF.getKnownMinValue()), | ||||||||
| 6329 | false); | ||||||||
| 6330 | } | ||||||||
| 6331 | |||||||||
| 6332 | Type *VectorTy; | ||||||||
| 6333 | unsigned C = getInstructionCost(I, VF, VectorTy); | ||||||||
| 6334 | |||||||||
| 6335 | bool TypeNotScalarized = | ||||||||
| 6336 | VF.isVector() && VectorTy->isVectorTy() && | ||||||||
| 6337 | TTI.getNumberOfParts(VectorTy) < VF.getKnownMinValue(); | ||||||||
| 6338 | return VectorizationCostTy(C, TypeNotScalarized); | ||||||||
| 6339 | } | ||||||||
| 6340 | |||||||||
| 6341 | unsigned LoopVectorizationCostModel::getScalarizationOverhead(Instruction *I, | ||||||||
| 6342 | ElementCount VF) { | ||||||||
| 6343 | |||||||||
| 6344 | assert(!VF.isScalable() &&((!VF.isScalable() && "cannot compute scalarization overhead for scalable vectorization" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"cannot compute scalarization overhead for scalable vectorization\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6345, __PRETTY_FUNCTION__)) | ||||||||
| 6345 | "cannot compute scalarization overhead for scalable vectorization")((!VF.isScalable() && "cannot compute scalarization overhead for scalable vectorization" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"cannot compute scalarization overhead for scalable vectorization\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6345, __PRETTY_FUNCTION__)); | ||||||||
| 6346 | if (VF.isScalar()) | ||||||||
| 6347 | return 0; | ||||||||
| 6348 | |||||||||
| 6349 | unsigned Cost = 0; | ||||||||
| 6350 | Type *RetTy = ToVectorTy(I->getType(), VF); | ||||||||
| 6351 | if (!RetTy->isVoidTy() && | ||||||||
| 6352 | (!isa<LoadInst>(I) || !TTI.supportsEfficientVectorElementLoadStore())) | ||||||||
| 6353 | Cost += TTI.getScalarizationOverhead( | ||||||||
| 6354 | cast<VectorType>(RetTy), APInt::getAllOnesValue(VF.getKnownMinValue()), | ||||||||
| 6355 | true, false); | ||||||||
| 6356 | |||||||||
| 6357 | // Some targets keep addresses scalar. | ||||||||
| 6358 | if (isa<LoadInst>(I) && !TTI.prefersVectorizedAddressing()) | ||||||||
| 6359 | return Cost; | ||||||||
| 6360 | |||||||||
| 6361 | // Some targets support efficient element stores. | ||||||||
| 6362 | if (isa<StoreInst>(I) && TTI.supportsEfficientVectorElementLoadStore()) | ||||||||
| 6363 | return Cost; | ||||||||
| 6364 | |||||||||
| 6365 | // Collect operands to consider. | ||||||||
| 6366 | CallInst *CI = dyn_cast<CallInst>(I); | ||||||||
| 6367 | Instruction::op_range Ops = CI ? CI->arg_operands() : I->operands(); | ||||||||
| 6368 | |||||||||
| 6369 | // Skip operands that do not require extraction/scalarization and do not incur | ||||||||
| 6370 | // any overhead. | ||||||||
| 6371 | return Cost + TTI.getOperandsScalarizationOverhead( | ||||||||
| 6372 | filterExtractingOperands(Ops, VF), VF.getKnownMinValue()); | ||||||||
| 6373 | } | ||||||||
| 6374 | |||||||||
| 6375 | void LoopVectorizationCostModel::setCostBasedWideningDecision(ElementCount VF) { | ||||||||
| 6376 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6376, __PRETTY_FUNCTION__)); | ||||||||
| 6377 | if (VF.isScalar()) | ||||||||
| 6378 | return; | ||||||||
| 6379 | NumPredStores = 0; | ||||||||
| 6380 | for (BasicBlock *BB : TheLoop->blocks()) { | ||||||||
| 6381 | // For each instruction in the old loop. | ||||||||
| 6382 | for (Instruction &I : *BB) { | ||||||||
| 6383 | Value *Ptr = getLoadStorePointerOperand(&I); | ||||||||
| 6384 | if (!Ptr) | ||||||||
| 6385 | continue; | ||||||||
| 6386 | |||||||||
| 6387 | // TODO: We should generate better code and update the cost model for | ||||||||
| 6388 | // predicated uniform stores. Today they are treated as any other | ||||||||
| 6389 | // predicated store (see added test cases in | ||||||||
| 6390 | // invariant-store-vectorization.ll). | ||||||||
| 6391 | if (isa<StoreInst>(&I) && isScalarWithPredication(&I)) | ||||||||
| 6392 | NumPredStores++; | ||||||||
| 6393 | |||||||||
| 6394 | if (Legal->isUniform(Ptr) && | ||||||||
| 6395 | // Conditional loads and stores should be scalarized and predicated. | ||||||||
| 6396 | // isScalarWithPredication cannot be used here since masked | ||||||||
| 6397 | // gather/scatters are not considered scalar with predication. | ||||||||
| 6398 | !Legal->blockNeedsPredication(I.getParent())) { | ||||||||
| 6399 | // TODO: Avoid replicating loads and stores instead of | ||||||||
| 6400 | // relying on instcombine to remove them. | ||||||||
| 6401 | // Load: Scalar load + broadcast | ||||||||
| 6402 | // Store: Scalar store + isLoopInvariantStoreValue ? 0 : extract | ||||||||
| 6403 | unsigned Cost = getUniformMemOpCost(&I, VF); | ||||||||
| 6404 | setWideningDecision(&I, VF, CM_Scalarize, Cost); | ||||||||
| 6405 | continue; | ||||||||
| 6406 | } | ||||||||
| 6407 | |||||||||
| 6408 | // We assume that widening is the best solution when possible. | ||||||||
| 6409 | if (memoryInstructionCanBeWidened(&I, VF)) { | ||||||||
| 6410 | unsigned Cost = getConsecutiveMemOpCost(&I, VF); | ||||||||
| 6411 | int ConsecutiveStride = | ||||||||
| 6412 | Legal->isConsecutivePtr(getLoadStorePointerOperand(&I)); | ||||||||
| 6413 | assert((ConsecutiveStride == 1 || ConsecutiveStride == -1) &&(((ConsecutiveStride == 1 || ConsecutiveStride == -1) && "Expected consecutive stride.") ? static_cast<void> (0 ) : __assert_fail ("(ConsecutiveStride == 1 || ConsecutiveStride == -1) && \"Expected consecutive stride.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6414, __PRETTY_FUNCTION__)) | ||||||||
| 6414 | "Expected consecutive stride.")(((ConsecutiveStride == 1 || ConsecutiveStride == -1) && "Expected consecutive stride.") ? static_cast<void> (0 ) : __assert_fail ("(ConsecutiveStride == 1 || ConsecutiveStride == -1) && \"Expected consecutive stride.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6414, __PRETTY_FUNCTION__)); | ||||||||
| 6415 | InstWidening Decision = | ||||||||
| 6416 | ConsecutiveStride == 1 ? CM_Widen : CM_Widen_Reverse; | ||||||||
| 6417 | setWideningDecision(&I, VF, Decision, Cost); | ||||||||
| 6418 | continue; | ||||||||
| 6419 | } | ||||||||
| 6420 | |||||||||
| 6421 | // Choose between Interleaving, Gather/Scatter or Scalarization. | ||||||||
| 6422 | unsigned InterleaveCost = std::numeric_limits<unsigned>::max(); | ||||||||
| 6423 | unsigned NumAccesses = 1; | ||||||||
| 6424 | if (isAccessInterleaved(&I)) { | ||||||||
| 6425 | auto Group = getInterleavedAccessGroup(&I); | ||||||||
| 6426 | assert(Group && "Fail to get an interleaved access group.")((Group && "Fail to get an interleaved access group." ) ? static_cast<void> (0) : __assert_fail ("Group && \"Fail to get an interleaved access group.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6426, __PRETTY_FUNCTION__)); | ||||||||
| 6427 | |||||||||
| 6428 | // Make one decision for the whole group. | ||||||||
| 6429 | if (getWideningDecision(&I, VF) != CM_Unknown) | ||||||||
| 6430 | continue; | ||||||||
| 6431 | |||||||||
| 6432 | NumAccesses = Group->getNumMembers(); | ||||||||
| 6433 | if (interleavedAccessCanBeWidened(&I, VF)) | ||||||||
| 6434 | InterleaveCost = getInterleaveGroupCost(&I, VF); | ||||||||
| 6435 | } | ||||||||
| 6436 | |||||||||
| 6437 | unsigned GatherScatterCost = | ||||||||
| 6438 | isLegalGatherOrScatter(&I) | ||||||||
| 6439 | ? getGatherScatterCost(&I, VF) * NumAccesses | ||||||||
| 6440 | : std::numeric_limits<unsigned>::max(); | ||||||||
| 6441 | |||||||||
| 6442 | unsigned ScalarizationCost = | ||||||||
| 6443 | getMemInstScalarizationCost(&I, VF) * NumAccesses; | ||||||||
| 6444 | |||||||||
| 6445 | // Choose better solution for the current VF, | ||||||||
| 6446 | // write down this decision and use it during vectorization. | ||||||||
| 6447 | unsigned Cost; | ||||||||
| 6448 | InstWidening Decision; | ||||||||
| 6449 | if (InterleaveCost <= GatherScatterCost && | ||||||||
| 6450 | InterleaveCost < ScalarizationCost) { | ||||||||
| 6451 | Decision = CM_Interleave; | ||||||||
| 6452 | Cost = InterleaveCost; | ||||||||
| 6453 | } else if (GatherScatterCost < ScalarizationCost) { | ||||||||
| 6454 | Decision = CM_GatherScatter; | ||||||||
| 6455 | Cost = GatherScatterCost; | ||||||||
| 6456 | } else { | ||||||||
| 6457 | Decision = CM_Scalarize; | ||||||||
| 6458 | Cost = ScalarizationCost; | ||||||||
| 6459 | } | ||||||||
| 6460 | // If the instructions belongs to an interleave group, the whole group | ||||||||
| 6461 | // receives the same decision. The whole group receives the cost, but | ||||||||
| 6462 | // the cost will actually be assigned to one instruction. | ||||||||
| 6463 | if (auto Group = getInterleavedAccessGroup(&I)) | ||||||||
| 6464 | setWideningDecision(Group, VF, Decision, Cost); | ||||||||
| 6465 | else | ||||||||
| 6466 | setWideningDecision(&I, VF, Decision, Cost); | ||||||||
| 6467 | } | ||||||||
| 6468 | } | ||||||||
| 6469 | |||||||||
| 6470 | // Make sure that any load of address and any other address computation | ||||||||
| 6471 | // remains scalar unless there is gather/scatter support. This avoids | ||||||||
| 6472 | // inevitable extracts into address registers, and also has the benefit of | ||||||||
| 6473 | // activating LSR more, since that pass can't optimize vectorized | ||||||||
| 6474 | // addresses. | ||||||||
| 6475 | if (TTI.prefersVectorizedAddressing()) | ||||||||
| 6476 | return; | ||||||||
| 6477 | |||||||||
| 6478 | // Start with all scalar pointer uses. | ||||||||
| 6479 | SmallPtrSet<Instruction *, 8> AddrDefs; | ||||||||
| 6480 | for (BasicBlock *BB : TheLoop->blocks()) | ||||||||
| 6481 | for (Instruction &I : *BB) { | ||||||||
| 6482 | Instruction *PtrDef = | ||||||||
| 6483 | dyn_cast_or_null<Instruction>(getLoadStorePointerOperand(&I)); | ||||||||
| 6484 | if (PtrDef && TheLoop->contains(PtrDef) && | ||||||||
| 6485 | getWideningDecision(&I, VF) != CM_GatherScatter) | ||||||||
| 6486 | AddrDefs.insert(PtrDef); | ||||||||
| 6487 | } | ||||||||
| 6488 | |||||||||
| 6489 | // Add all instructions used to generate the addresses. | ||||||||
| 6490 | SmallVector<Instruction *, 4> Worklist; | ||||||||
| 6491 | for (auto *I : AddrDefs) | ||||||||
| 6492 | Worklist.push_back(I); | ||||||||
| 6493 | while (!Worklist.empty()) { | ||||||||
| 6494 | Instruction *I = Worklist.pop_back_val(); | ||||||||
| 6495 | for (auto &Op : I->operands()) | ||||||||
| 6496 | if (auto *InstOp = dyn_cast<Instruction>(Op)) | ||||||||
| 6497 | if ((InstOp->getParent() == I->getParent()) && !isa<PHINode>(InstOp) && | ||||||||
| 6498 | AddrDefs.insert(InstOp).second) | ||||||||
| 6499 | Worklist.push_back(InstOp); | ||||||||
| 6500 | } | ||||||||
| 6501 | |||||||||
| 6502 | for (auto *I : AddrDefs) { | ||||||||
| 6503 | if (isa<LoadInst>(I)) { | ||||||||
| 6504 | // Setting the desired widening decision should ideally be handled in | ||||||||
| 6505 | // by cost functions, but since this involves the task of finding out | ||||||||
| 6506 | // if the loaded register is involved in an address computation, it is | ||||||||
| 6507 | // instead changed here when we know this is the case. | ||||||||
| 6508 | InstWidening Decision = getWideningDecision(I, VF); | ||||||||
| 6509 | if (Decision == CM_Widen || Decision == CM_Widen_Reverse) | ||||||||
| 6510 | // Scalarize a widened load of address. | ||||||||
| 6511 | setWideningDecision( | ||||||||
| 6512 | I, VF, CM_Scalarize, | ||||||||
| 6513 | (VF.getKnownMinValue() * | ||||||||
| 6514 | getMemoryInstructionCost(I, ElementCount::getFixed(1)))); | ||||||||
| 6515 | else if (auto Group = getInterleavedAccessGroup(I)) { | ||||||||
| 6516 | // Scalarize an interleave group of address loads. | ||||||||
| 6517 | for (unsigned I = 0; I < Group->getFactor(); ++I) { | ||||||||
| 6518 | if (Instruction *Member = Group->getMember(I)) | ||||||||
| 6519 | setWideningDecision( | ||||||||
| 6520 | Member, VF, CM_Scalarize, | ||||||||
| 6521 | (VF.getKnownMinValue() * | ||||||||
| 6522 | getMemoryInstructionCost(Member, ElementCount::getFixed(1)))); | ||||||||
| 6523 | } | ||||||||
| 6524 | } | ||||||||
| 6525 | } else | ||||||||
| 6526 | // Make sure I gets scalarized and a cost estimate without | ||||||||
| 6527 | // scalarization overhead. | ||||||||
| 6528 | ForcedScalars[VF].insert(I); | ||||||||
| 6529 | } | ||||||||
| 6530 | } | ||||||||
| 6531 | |||||||||
| 6532 | unsigned LoopVectorizationCostModel::getInstructionCost(Instruction *I, | ||||||||
| 6533 | ElementCount VF, | ||||||||
| 6534 | Type *&VectorTy) { | ||||||||
| 6535 | Type *RetTy = I->getType(); | ||||||||
| 6536 | if (canTruncateToMinimalBitwidth(I, VF)) | ||||||||
| 6537 | RetTy = IntegerType::get(RetTy->getContext(), MinBWs[I]); | ||||||||
| 6538 | VectorTy = isScalarAfterVectorization(I, VF) ? RetTy : ToVectorTy(RetTy, VF); | ||||||||
| 6539 | auto SE = PSE.getSE(); | ||||||||
| 6540 | TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput; | ||||||||
| 6541 | |||||||||
| 6542 | // TODO: We need to estimate the cost of intrinsic calls. | ||||||||
| 6543 | switch (I->getOpcode()) { | ||||||||
| 6544 | case Instruction::GetElementPtr: | ||||||||
| 6545 | // We mark this instruction as zero-cost because the cost of GEPs in | ||||||||
| 6546 | // vectorized code depends on whether the corresponding memory instruction | ||||||||
| 6547 | // is scalarized or not. Therefore, we handle GEPs with the memory | ||||||||
| 6548 | // instruction cost. | ||||||||
| 6549 | return 0; | ||||||||
| 6550 | case Instruction::Br: { | ||||||||
| 6551 | // In cases of scalarized and predicated instructions, there will be VF | ||||||||
| 6552 | // predicated blocks in the vectorized loop. Each branch around these | ||||||||
| 6553 | // blocks requires also an extract of its vector compare i1 element. | ||||||||
| 6554 | bool ScalarPredicatedBB = false; | ||||||||
| 6555 | BranchInst *BI = cast<BranchInst>(I); | ||||||||
| 6556 | if (VF.isVector() && BI->isConditional() && | ||||||||
| 6557 | (PredicatedBBsAfterVectorization.count(BI->getSuccessor(0)) || | ||||||||
| 6558 | PredicatedBBsAfterVectorization.count(BI->getSuccessor(1)))) | ||||||||
| 6559 | ScalarPredicatedBB = true; | ||||||||
| 6560 | |||||||||
| 6561 | if (ScalarPredicatedBB) { | ||||||||
| 6562 | // Return cost for branches around scalarized and predicated blocks. | ||||||||
| 6563 | assert(!VF.isScalable() && "scalable vectors not yet supported.")((!VF.isScalable() && "scalable vectors not yet supported." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"scalable vectors not yet supported.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6563, __PRETTY_FUNCTION__)); | ||||||||
| 6564 | auto *Vec_i1Ty = | ||||||||
| 6565 | VectorType::get(IntegerType::getInt1Ty(RetTy->getContext()), VF); | ||||||||
| 6566 | return (TTI.getScalarizationOverhead( | ||||||||
| 6567 | Vec_i1Ty, APInt::getAllOnesValue(VF.getKnownMinValue()), | ||||||||
| 6568 | false, true) + | ||||||||
| 6569 | (TTI.getCFInstrCost(Instruction::Br, CostKind) * | ||||||||
| 6570 | VF.getKnownMinValue())); | ||||||||
| 6571 | } else if (I->getParent() == TheLoop->getLoopLatch() || VF.isScalar()) | ||||||||
| 6572 | // The back-edge branch will remain, as will all scalar branches. | ||||||||
| 6573 | return TTI.getCFInstrCost(Instruction::Br, CostKind); | ||||||||
| 6574 | else | ||||||||
| 6575 | // This branch will be eliminated by if-conversion. | ||||||||
| 6576 | return 0; | ||||||||
| 6577 | // Note: We currently assume zero cost for an unconditional branch inside | ||||||||
| 6578 | // a predicated block since it will become a fall-through, although we | ||||||||
| 6579 | // may decide in the future to call TTI for all branches. | ||||||||
| 6580 | } | ||||||||
| 6581 | case Instruction::PHI: { | ||||||||
| 6582 | auto *Phi = cast<PHINode>(I); | ||||||||
| 6583 | |||||||||
| 6584 | // First-order recurrences are replaced by vector shuffles inside the loop. | ||||||||
| 6585 | // NOTE: Don't use ToVectorTy as SK_ExtractSubvector expects a vector type. | ||||||||
| 6586 | if (VF.isVector() && Legal->isFirstOrderRecurrence(Phi)) | ||||||||
| 6587 | return TTI.getShuffleCost( | ||||||||
| 6588 | TargetTransformInfo::SK_ExtractSubvector, cast<VectorType>(VectorTy), | ||||||||
| 6589 | VF.getKnownMinValue() - 1, FixedVectorType::get(RetTy, 1)); | ||||||||
| 6590 | |||||||||
| 6591 | // Phi nodes in non-header blocks (not inductions, reductions, etc.) are | ||||||||
| 6592 | // converted into select instructions. We require N - 1 selects per phi | ||||||||
| 6593 | // node, where N is the number of incoming values. | ||||||||
| 6594 | if (VF.isVector() && Phi->getParent() != TheLoop->getHeader()) | ||||||||
| 6595 | return (Phi->getNumIncomingValues() - 1) * | ||||||||
| 6596 | TTI.getCmpSelInstrCost( | ||||||||
| 6597 | Instruction::Select, ToVectorTy(Phi->getType(), VF), | ||||||||
| 6598 | ToVectorTy(Type::getInt1Ty(Phi->getContext()), VF), | ||||||||
| 6599 | CostKind); | ||||||||
| 6600 | |||||||||
| 6601 | return TTI.getCFInstrCost(Instruction::PHI, CostKind); | ||||||||
| 6602 | } | ||||||||
| 6603 | case Instruction::UDiv: | ||||||||
| 6604 | case Instruction::SDiv: | ||||||||
| 6605 | case Instruction::URem: | ||||||||
| 6606 | case Instruction::SRem: | ||||||||
| 6607 | // If we have a predicated instruction, it may not be executed for each | ||||||||
| 6608 | // vector lane. Get the scalarization cost and scale this amount by the | ||||||||
| 6609 | // probability of executing the predicated block. If the instruction is not | ||||||||
| 6610 | // predicated, we fall through to the next case. | ||||||||
| 6611 | if (VF.isVector() && isScalarWithPredication(I)) { | ||||||||
| 6612 | unsigned Cost = 0; | ||||||||
| 6613 | |||||||||
| 6614 | // These instructions have a non-void type, so account for the phi nodes | ||||||||
| 6615 | // that we will create. This cost is likely to be zero. The phi node | ||||||||
| 6616 | // cost, if any, should be scaled by the block probability because it | ||||||||
| 6617 | // models a copy at the end of each predicated block. | ||||||||
| 6618 | Cost += VF.getKnownMinValue() * | ||||||||
| 6619 | TTI.getCFInstrCost(Instruction::PHI, CostKind); | ||||||||
| 6620 | |||||||||
| 6621 | // The cost of the non-predicated instruction. | ||||||||
| 6622 | Cost += VF.getKnownMinValue() * | ||||||||
| 6623 | TTI.getArithmeticInstrCost(I->getOpcode(), RetTy, CostKind); | ||||||||
| 6624 | |||||||||
| 6625 | // The cost of insertelement and extractelement instructions needed for | ||||||||
| 6626 | // scalarization. | ||||||||
| 6627 | Cost += getScalarizationOverhead(I, VF); | ||||||||
| 6628 | |||||||||
| 6629 | // Scale the cost by the probability of executing the predicated blocks. | ||||||||
| 6630 | // This assumes the predicated block for each vector lane is equally | ||||||||
| 6631 | // likely. | ||||||||
| 6632 | return Cost / getReciprocalPredBlockProb(); | ||||||||
| 6633 | } | ||||||||
| 6634 | LLVM_FALLTHROUGH[[gnu::fallthrough]]; | ||||||||
| 6635 | case Instruction::Add: | ||||||||
| 6636 | case Instruction::FAdd: | ||||||||
| 6637 | case Instruction::Sub: | ||||||||
| 6638 | case Instruction::FSub: | ||||||||
| 6639 | case Instruction::Mul: | ||||||||
| 6640 | case Instruction::FMul: | ||||||||
| 6641 | case Instruction::FDiv: | ||||||||
| 6642 | case Instruction::FRem: | ||||||||
| 6643 | case Instruction::Shl: | ||||||||
| 6644 | case Instruction::LShr: | ||||||||
| 6645 | case Instruction::AShr: | ||||||||
| 6646 | case Instruction::And: | ||||||||
| 6647 | case Instruction::Or: | ||||||||
| 6648 | case Instruction::Xor: { | ||||||||
| 6649 | // Since we will replace the stride by 1 the multiplication should go away. | ||||||||
| 6650 | if (I->getOpcode() == Instruction::Mul && isStrideMul(I, Legal)) | ||||||||
| 6651 | return 0; | ||||||||
| 6652 | // Certain instructions can be cheaper to vectorize if they have a constant | ||||||||
| 6653 | // second vector operand. One example of this are shifts on x86. | ||||||||
| 6654 | Value *Op2 = I->getOperand(1); | ||||||||
| 6655 | TargetTransformInfo::OperandValueProperties Op2VP; | ||||||||
| 6656 | TargetTransformInfo::OperandValueKind Op2VK = | ||||||||
| 6657 | TTI.getOperandInfo(Op2, Op2VP); | ||||||||
| 6658 | if (Op2VK == TargetTransformInfo::OK_AnyValue && Legal->isUniform(Op2)) | ||||||||
| 6659 | Op2VK = TargetTransformInfo::OK_UniformValue; | ||||||||
| 6660 | |||||||||
| 6661 | SmallVector<const Value *, 4> Operands(I->operand_values()); | ||||||||
| 6662 | unsigned N = isScalarAfterVectorization(I, VF) ? VF.getKnownMinValue() : 1; | ||||||||
| 6663 | return N * TTI.getArithmeticInstrCost( | ||||||||
| 6664 | I->getOpcode(), VectorTy, CostKind, | ||||||||
| 6665 | TargetTransformInfo::OK_AnyValue, | ||||||||
| 6666 | Op2VK, TargetTransformInfo::OP_None, Op2VP, Operands, I); | ||||||||
| 6667 | } | ||||||||
| 6668 | case Instruction::FNeg: { | ||||||||
| 6669 | assert(!VF.isScalable() && "VF is assumed to be non scalable.")((!VF.isScalable() && "VF is assumed to be non scalable." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"VF is assumed to be non scalable.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6669, __PRETTY_FUNCTION__)); | ||||||||
| 6670 | unsigned N = isScalarAfterVectorization(I, VF) ? VF.getKnownMinValue() : 1; | ||||||||
| 6671 | return N * TTI.getArithmeticInstrCost( | ||||||||
| 6672 | I->getOpcode(), VectorTy, CostKind, | ||||||||
| 6673 | TargetTransformInfo::OK_AnyValue, | ||||||||
| 6674 | TargetTransformInfo::OK_AnyValue, | ||||||||
| 6675 | TargetTransformInfo::OP_None, TargetTransformInfo::OP_None, | ||||||||
| 6676 | I->getOperand(0), I); | ||||||||
| 6677 | } | ||||||||
| 6678 | case Instruction::Select: { | ||||||||
| 6679 | SelectInst *SI = cast<SelectInst>(I); | ||||||||
| 6680 | const SCEV *CondSCEV = SE->getSCEV(SI->getCondition()); | ||||||||
| 6681 | bool ScalarCond = (SE->isLoopInvariant(CondSCEV, TheLoop)); | ||||||||
| 6682 | Type *CondTy = SI->getCondition()->getType(); | ||||||||
| 6683 | if (!ScalarCond) { | ||||||||
| 6684 | assert(!VF.isScalable() && "VF is assumed to be non scalable.")((!VF.isScalable() && "VF is assumed to be non scalable." ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"VF is assumed to be non scalable.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6684, __PRETTY_FUNCTION__)); | ||||||||
| 6685 | CondTy = VectorType::get(CondTy, VF); | ||||||||
| 6686 | } | ||||||||
| 6687 | return TTI.getCmpSelInstrCost(I->getOpcode(), VectorTy, CondTy, | ||||||||
| 6688 | CostKind, I); | ||||||||
| 6689 | } | ||||||||
| 6690 | case Instruction::ICmp: | ||||||||
| 6691 | case Instruction::FCmp: { | ||||||||
| 6692 | Type *ValTy = I->getOperand(0)->getType(); | ||||||||
| 6693 | Instruction *Op0AsInstruction = dyn_cast<Instruction>(I->getOperand(0)); | ||||||||
| 6694 | if (canTruncateToMinimalBitwidth(Op0AsInstruction, VF)) | ||||||||
| 6695 | ValTy = IntegerType::get(ValTy->getContext(), MinBWs[Op0AsInstruction]); | ||||||||
| 6696 | VectorTy = ToVectorTy(ValTy, VF); | ||||||||
| 6697 | return TTI.getCmpSelInstrCost(I->getOpcode(), VectorTy, nullptr, CostKind, | ||||||||
| 6698 | I); | ||||||||
| 6699 | } | ||||||||
| 6700 | case Instruction::Store: | ||||||||
| 6701 | case Instruction::Load: { | ||||||||
| 6702 | ElementCount Width = VF; | ||||||||
| 6703 | if (Width.isVector()) { | ||||||||
| 6704 | InstWidening Decision = getWideningDecision(I, Width); | ||||||||
| 6705 | assert(Decision != CM_Unknown &&((Decision != CM_Unknown && "CM decision should be taken at this point" ) ? static_cast<void> (0) : __assert_fail ("Decision != CM_Unknown && \"CM decision should be taken at this point\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6706, __PRETTY_FUNCTION__)) | ||||||||
| 6706 | "CM decision should be taken at this point")((Decision != CM_Unknown && "CM decision should be taken at this point" ) ? static_cast<void> (0) : __assert_fail ("Decision != CM_Unknown && \"CM decision should be taken at this point\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6706, __PRETTY_FUNCTION__)); | ||||||||
| 6707 | if (Decision == CM_Scalarize) | ||||||||
| 6708 | Width = ElementCount::getFixed(1); | ||||||||
| 6709 | } | ||||||||
| 6710 | VectorTy = ToVectorTy(getMemInstValueType(I), Width); | ||||||||
| 6711 | return getMemoryInstructionCost(I, VF); | ||||||||
| 6712 | } | ||||||||
| 6713 | case Instruction::ZExt: | ||||||||
| 6714 | case Instruction::SExt: | ||||||||
| 6715 | case Instruction::FPToUI: | ||||||||
| 6716 | case Instruction::FPToSI: | ||||||||
| 6717 | case Instruction::FPExt: | ||||||||
| 6718 | case Instruction::PtrToInt: | ||||||||
| 6719 | case Instruction::IntToPtr: | ||||||||
| 6720 | case Instruction::SIToFP: | ||||||||
| 6721 | case Instruction::UIToFP: | ||||||||
| 6722 | case Instruction::Trunc: | ||||||||
| 6723 | case Instruction::FPTrunc: | ||||||||
| 6724 | case Instruction::BitCast: { | ||||||||
| 6725 | // Computes the CastContextHint from a Load/Store instruction. | ||||||||
| 6726 | auto ComputeCCH = [&](Instruction *I) -> TTI::CastContextHint { | ||||||||
| 6727 | assert((isa<LoadInst>(I) || isa<StoreInst>(I)) &&(((isa<LoadInst>(I) || isa<StoreInst>(I)) && "Expected a load or a store!") ? static_cast<void> (0) : __assert_fail ("(isa<LoadInst>(I) || isa<StoreInst>(I)) && \"Expected a load or a store!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6728, __PRETTY_FUNCTION__)) | ||||||||
| 6728 | "Expected a load or a store!")(((isa<LoadInst>(I) || isa<StoreInst>(I)) && "Expected a load or a store!") ? static_cast<void> (0) : __assert_fail ("(isa<LoadInst>(I) || isa<StoreInst>(I)) && \"Expected a load or a store!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6728, __PRETTY_FUNCTION__)); | ||||||||
| 6729 | |||||||||
| 6730 | if (VF.isScalar() || !TheLoop->contains(I)) | ||||||||
| 6731 | return TTI::CastContextHint::Normal; | ||||||||
| 6732 | |||||||||
| 6733 | switch (getWideningDecision(I, VF)) { | ||||||||
| 6734 | case LoopVectorizationCostModel::CM_GatherScatter: | ||||||||
| 6735 | return TTI::CastContextHint::GatherScatter; | ||||||||
| 6736 | case LoopVectorizationCostModel::CM_Interleave: | ||||||||
| 6737 | return TTI::CastContextHint::Interleave; | ||||||||
| 6738 | case LoopVectorizationCostModel::CM_Scalarize: | ||||||||
| 6739 | case LoopVectorizationCostModel::CM_Widen: | ||||||||
| 6740 | return Legal->isMaskRequired(I) ? TTI::CastContextHint::Masked | ||||||||
| 6741 | : TTI::CastContextHint::Normal; | ||||||||
| 6742 | case LoopVectorizationCostModel::CM_Widen_Reverse: | ||||||||
| 6743 | return TTI::CastContextHint::Reversed; | ||||||||
| 6744 | case LoopVectorizationCostModel::CM_Unknown: | ||||||||
| 6745 | llvm_unreachable("Instr did not go through cost modelling?")::llvm::llvm_unreachable_internal("Instr did not go through cost modelling?" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6745); | ||||||||
| 6746 | } | ||||||||
| 6747 | |||||||||
| 6748 | llvm_unreachable("Unhandled case!")::llvm::llvm_unreachable_internal("Unhandled case!", "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6748); | ||||||||
| 6749 | }; | ||||||||
| 6750 | |||||||||
| 6751 | unsigned Opcode = I->getOpcode(); | ||||||||
| 6752 | TTI::CastContextHint CCH = TTI::CastContextHint::None; | ||||||||
| 6753 | // For Trunc, the context is the only user, which must be a StoreInst. | ||||||||
| 6754 | if (Opcode == Instruction::Trunc || Opcode == Instruction::FPTrunc) { | ||||||||
| 6755 | if (I->hasOneUse()) | ||||||||
| 6756 | if (StoreInst *Store = dyn_cast<StoreInst>(*I->user_begin())) | ||||||||
| 6757 | CCH = ComputeCCH(Store); | ||||||||
| 6758 | } | ||||||||
| 6759 | // For Z/Sext, the context is the operand, which must be a LoadInst. | ||||||||
| 6760 | else if (Opcode == Instruction::ZExt || Opcode == Instruction::SExt || | ||||||||
| 6761 | Opcode == Instruction::FPExt) { | ||||||||
| 6762 | if (LoadInst *Load = dyn_cast<LoadInst>(I->getOperand(0))) | ||||||||
| 6763 | CCH = ComputeCCH(Load); | ||||||||
| 6764 | } | ||||||||
| 6765 | |||||||||
| 6766 | // We optimize the truncation of induction variables having constant | ||||||||
| 6767 | // integer steps. The cost of these truncations is the same as the scalar | ||||||||
| 6768 | // operation. | ||||||||
| 6769 | if (isOptimizableIVTruncate(I, VF)) { | ||||||||
| 6770 | auto *Trunc = cast<TruncInst>(I); | ||||||||
| 6771 | return TTI.getCastInstrCost(Instruction::Trunc, Trunc->getDestTy(), | ||||||||
| 6772 | Trunc->getSrcTy(), CCH, CostKind, Trunc); | ||||||||
| 6773 | } | ||||||||
| 6774 | |||||||||
| 6775 | Type *SrcScalarTy = I->getOperand(0)->getType(); | ||||||||
| 6776 | Type *SrcVecTy = | ||||||||
| 6777 | VectorTy->isVectorTy() ? ToVectorTy(SrcScalarTy, VF) : SrcScalarTy; | ||||||||
| 6778 | if (canTruncateToMinimalBitwidth(I, VF)) { | ||||||||
| 6779 | // This cast is going to be shrunk. This may remove the cast or it might | ||||||||
| 6780 | // turn it into slightly different cast. For example, if MinBW == 16, | ||||||||
| 6781 | // "zext i8 %1 to i32" becomes "zext i8 %1 to i16". | ||||||||
| 6782 | // | ||||||||
| 6783 | // Calculate the modified src and dest types. | ||||||||
| 6784 | Type *MinVecTy = VectorTy; | ||||||||
| 6785 | if (Opcode == Instruction::Trunc) { | ||||||||
| 6786 | SrcVecTy = smallestIntegerVectorType(SrcVecTy, MinVecTy); | ||||||||
| 6787 | VectorTy = | ||||||||
| 6788 | largestIntegerVectorType(ToVectorTy(I->getType(), VF), MinVecTy); | ||||||||
| 6789 | } else if (Opcode == Instruction::ZExt || Opcode == Instruction::SExt) { | ||||||||
| 6790 | SrcVecTy = largestIntegerVectorType(SrcVecTy, MinVecTy); | ||||||||
| 6791 | VectorTy = | ||||||||
| 6792 | smallestIntegerVectorType(ToVectorTy(I->getType(), VF), MinVecTy); | ||||||||
| 6793 | } | ||||||||
| 6794 | } | ||||||||
| 6795 | |||||||||
| 6796 | assert(!VF.isScalable() && "VF is assumed to be non scalable")((!VF.isScalable() && "VF is assumed to be non scalable" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"VF is assumed to be non scalable\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6796, __PRETTY_FUNCTION__)); | ||||||||
| 6797 | unsigned N = isScalarAfterVectorization(I, VF) ? VF.getKnownMinValue() : 1; | ||||||||
| 6798 | return N * | ||||||||
| 6799 | TTI.getCastInstrCost(Opcode, VectorTy, SrcVecTy, CCH, CostKind, I); | ||||||||
| 6800 | } | ||||||||
| 6801 | case Instruction::Call: { | ||||||||
| 6802 | bool NeedToScalarize; | ||||||||
| 6803 | CallInst *CI = cast<CallInst>(I); | ||||||||
| 6804 | unsigned CallCost = getVectorCallCost(CI, VF, NeedToScalarize); | ||||||||
| 6805 | if (getVectorIntrinsicIDForCall(CI, TLI)) | ||||||||
| 6806 | return std::min(CallCost, getVectorIntrinsicCost(CI, VF)); | ||||||||
| 6807 | return CallCost; | ||||||||
| 6808 | } | ||||||||
| 6809 | default: | ||||||||
| 6810 | // The cost of executing VF copies of the scalar instruction. This opcode | ||||||||
| 6811 | // is unknown. Assume that it is the same as 'mul'. | ||||||||
| 6812 | return VF.getKnownMinValue() * TTI.getArithmeticInstrCost( | ||||||||
| 6813 | Instruction::Mul, VectorTy, CostKind) + | ||||||||
| 6814 | getScalarizationOverhead(I, VF); | ||||||||
| 6815 | } // end of switch. | ||||||||
| 6816 | } | ||||||||
| 6817 | |||||||||
| 6818 | char LoopVectorize::ID = 0; | ||||||||
| 6819 | |||||||||
| 6820 | static const char lv_name[] = "Loop Vectorization"; | ||||||||
| 6821 | |||||||||
| 6822 | INITIALIZE_PASS_BEGIN(LoopVectorize, LV_NAME, lv_name, false, false)static void *initializeLoopVectorizePassOnce(PassRegistry & Registry) { | ||||||||
| 6823 | INITIALIZE_PASS_DEPENDENCY(TargetTransformInfoWrapperPass)initializeTargetTransformInfoWrapperPassPass(Registry); | ||||||||
| 6824 | INITIALIZE_PASS_DEPENDENCY(BasicAAWrapperPass)initializeBasicAAWrapperPassPass(Registry); | ||||||||
| 6825 | INITIALIZE_PASS_DEPENDENCY(AAResultsWrapperPass)initializeAAResultsWrapperPassPass(Registry); | ||||||||
| 6826 | INITIALIZE_PASS_DEPENDENCY(GlobalsAAWrapperPass)initializeGlobalsAAWrapperPassPass(Registry); | ||||||||
| 6827 | INITIALIZE_PASS_DEPENDENCY(AssumptionCacheTracker)initializeAssumptionCacheTrackerPass(Registry); | ||||||||
| 6828 | INITIALIZE_PASS_DEPENDENCY(BlockFrequencyInfoWrapperPass)initializeBlockFrequencyInfoWrapperPassPass(Registry); | ||||||||
| 6829 | INITIALIZE_PASS_DEPENDENCY(DominatorTreeWrapperPass)initializeDominatorTreeWrapperPassPass(Registry); | ||||||||
| 6830 | INITIALIZE_PASS_DEPENDENCY(ScalarEvolutionWrapperPass)initializeScalarEvolutionWrapperPassPass(Registry); | ||||||||
| 6831 | INITIALIZE_PASS_DEPENDENCY(LoopInfoWrapperPass)initializeLoopInfoWrapperPassPass(Registry); | ||||||||
| 6832 | INITIALIZE_PASS_DEPENDENCY(LoopAccessLegacyAnalysis)initializeLoopAccessLegacyAnalysisPass(Registry); | ||||||||
| 6833 | INITIALIZE_PASS_DEPENDENCY(DemandedBitsWrapperPass)initializeDemandedBitsWrapperPassPass(Registry); | ||||||||
| 6834 | INITIALIZE_PASS_DEPENDENCY(OptimizationRemarkEmitterWrapperPass)initializeOptimizationRemarkEmitterWrapperPassPass(Registry); | ||||||||
| 6835 | INITIALIZE_PASS_DEPENDENCY(ProfileSummaryInfoWrapperPass)initializeProfileSummaryInfoWrapperPassPass(Registry); | ||||||||
| 6836 | INITIALIZE_PASS_DEPENDENCY(InjectTLIMappingsLegacy)initializeInjectTLIMappingsLegacyPass(Registry); | ||||||||
| 6837 | INITIALIZE_PASS_END(LoopVectorize, LV_NAME, lv_name, false, false)PassInfo *PI = new PassInfo( lv_name, "loop-vectorize", & LoopVectorize::ID, PassInfo::NormalCtor_t(callDefaultCtor< LoopVectorize>), false, false); Registry.registerPass(*PI, true); return PI; } static llvm::once_flag InitializeLoopVectorizePassFlag ; void llvm::initializeLoopVectorizePass(PassRegistry &Registry ) { llvm::call_once(InitializeLoopVectorizePassFlag, initializeLoopVectorizePassOnce , std::ref(Registry)); } | ||||||||
| 6838 | |||||||||
| 6839 | namespace llvm { | ||||||||
| 6840 | |||||||||
| 6841 | Pass *createLoopVectorizePass() { return new LoopVectorize(); } | ||||||||
| 6842 | |||||||||
| 6843 | Pass *createLoopVectorizePass(bool InterleaveOnlyWhenForced, | ||||||||
| 6844 | bool VectorizeOnlyWhenForced) { | ||||||||
| 6845 | return new LoopVectorize(InterleaveOnlyWhenForced, VectorizeOnlyWhenForced); | ||||||||
| 6846 | } | ||||||||
| 6847 | |||||||||
| 6848 | } // end namespace llvm | ||||||||
| 6849 | |||||||||
| 6850 | bool LoopVectorizationCostModel::isConsecutiveLoadOrStore(Instruction *Inst) { | ||||||||
| 6851 | // Check if the pointer operand of a load or store instruction is | ||||||||
| 6852 | // consecutive. | ||||||||
| 6853 | if (auto *Ptr = getLoadStorePointerOperand(Inst)) | ||||||||
| 6854 | return Legal->isConsecutivePtr(Ptr); | ||||||||
| 6855 | return false; | ||||||||
| 6856 | } | ||||||||
| 6857 | |||||||||
| 6858 | void LoopVectorizationCostModel::collectValuesToIgnore() { | ||||||||
| 6859 | // Ignore ephemeral values. | ||||||||
| 6860 | CodeMetrics::collectEphemeralValues(TheLoop, AC, ValuesToIgnore); | ||||||||
| 6861 | |||||||||
| 6862 | // Ignore type-promoting instructions we identified during reduction | ||||||||
| 6863 | // detection. | ||||||||
| 6864 | for (auto &Reduction : Legal->getReductionVars()) { | ||||||||
| 6865 | RecurrenceDescriptor &RedDes = Reduction.second; | ||||||||
| 6866 | const SmallPtrSetImpl<Instruction *> &Casts = RedDes.getCastInsts(); | ||||||||
| 6867 | VecValuesToIgnore.insert(Casts.begin(), Casts.end()); | ||||||||
| 6868 | } | ||||||||
| 6869 | // Ignore type-casting instructions we identified during induction | ||||||||
| 6870 | // detection. | ||||||||
| 6871 | for (auto &Induction : Legal->getInductionVars()) { | ||||||||
| 6872 | InductionDescriptor &IndDes = Induction.second; | ||||||||
| 6873 | const SmallVectorImpl<Instruction *> &Casts = IndDes.getCastInsts(); | ||||||||
| 6874 | VecValuesToIgnore.insert(Casts.begin(), Casts.end()); | ||||||||
| 6875 | } | ||||||||
| 6876 | } | ||||||||
| 6877 | |||||||||
| 6878 | void LoopVectorizationCostModel::collectInLoopReductions() { | ||||||||
| 6879 | // For the moment, without predicated reduction instructions, we do not | ||||||||
| 6880 | // support inloop reductions whilst folding the tail, and hence in those cases | ||||||||
| 6881 | // all reductions are currently out of the loop. | ||||||||
| 6882 | if (foldTailByMasking()) | ||||||||
| 6883 | return; | ||||||||
| 6884 | |||||||||
| 6885 | for (auto &Reduction : Legal->getReductionVars()) { | ||||||||
| 6886 | PHINode *Phi = Reduction.first; | ||||||||
| 6887 | RecurrenceDescriptor &RdxDesc = Reduction.second; | ||||||||
| 6888 | |||||||||
| 6889 | // We don't collect reductions that are type promoted (yet). | ||||||||
| 6890 | if (RdxDesc.getRecurrenceType() != Phi->getType()) | ||||||||
| 6891 | continue; | ||||||||
| 6892 | |||||||||
| 6893 | // If the target would prefer this reduction to happen "in-loop", then we | ||||||||
| 6894 | // want to record it as such. | ||||||||
| 6895 | unsigned Opcode = RdxDesc.getRecurrenceBinOp(RdxDesc.getRecurrenceKind()); | ||||||||
| 6896 | if (!PreferInLoopReductions && | ||||||||
| 6897 | !TTI.preferInLoopReduction(Opcode, Phi->getType(), | ||||||||
| 6898 | TargetTransformInfo::ReductionFlags())) | ||||||||
| 6899 | continue; | ||||||||
| 6900 | |||||||||
| 6901 | // Check that we can correctly put the reductions into the loop, by | ||||||||
| 6902 | // finding the chain of operations that leads from the phi to the loop | ||||||||
| 6903 | // exit value. | ||||||||
| 6904 | SmallVector<Instruction *, 4> ReductionOperations = | ||||||||
| 6905 | RdxDesc.getReductionOpChain(Phi, TheLoop); | ||||||||
| 6906 | bool InLoop = !ReductionOperations.empty(); | ||||||||
| 6907 | if (InLoop) | ||||||||
| 6908 | InLoopReductionChains[Phi] = ReductionOperations; | ||||||||
| 6909 | LLVM_DEBUG(dbgs() << "LV: Using " << (InLoop ? "inloop" : "out of loop")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Using " << ( InLoop ? "inloop" : "out of loop") << " reduction for phi: " << *Phi << "\n"; } } while (false) | ||||||||
| 6910 | << " reduction for phi: " << *Phi << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Using " << ( InLoop ? "inloop" : "out of loop") << " reduction for phi: " << *Phi << "\n"; } } while (false); | ||||||||
| 6911 | } | ||||||||
| 6912 | } | ||||||||
| 6913 | |||||||||
| 6914 | // TODO: we could return a pair of values that specify the max VF and | ||||||||
| 6915 | // min VF, to be used in `buildVPlans(MinVF, MaxVF)` instead of | ||||||||
| 6916 | // `buildVPlans(VF, VF)`. We cannot do it because VPLAN at the moment | ||||||||
| 6917 | // doesn't have a cost model that can choose which plan to execute if | ||||||||
| 6918 | // more than one is generated. | ||||||||
| 6919 | static unsigned determineVPlanVF(const unsigned WidestVectorRegBits, | ||||||||
| 6920 | LoopVectorizationCostModel &CM) { | ||||||||
| 6921 | unsigned WidestType; | ||||||||
| 6922 | std::tie(std::ignore, WidestType) = CM.getSmallestAndWidestTypes(); | ||||||||
| 6923 | return WidestVectorRegBits / WidestType; | ||||||||
| 6924 | } | ||||||||
| 6925 | |||||||||
| 6926 | VectorizationFactor | ||||||||
| 6927 | LoopVectorizationPlanner::planInVPlanNativePath(ElementCount UserVF) { | ||||||||
| 6928 | assert(!UserVF.isScalable() && "scalable vectors not yet supported")((!UserVF.isScalable() && "scalable vectors not yet supported" ) ? static_cast<void> (0) : __assert_fail ("!UserVF.isScalable() && \"scalable vectors not yet supported\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6928, __PRETTY_FUNCTION__)); | ||||||||
| 6929 | ElementCount VF = UserVF; | ||||||||
| 6930 | // Outer loop handling: They may require CFG and instruction level | ||||||||
| 6931 | // transformations before even evaluating whether vectorization is profitable. | ||||||||
| 6932 | // Since we cannot modify the incoming IR, we need to build VPlan upfront in | ||||||||
| 6933 | // the vectorization pipeline. | ||||||||
| 6934 | if (!OrigLoop->isInnermost()) { | ||||||||
| 6935 | // If the user doesn't provide a vectorization factor, determine a | ||||||||
| 6936 | // reasonable one. | ||||||||
| 6937 | if (UserVF.isZero()) { | ||||||||
| 6938 | VF = ElementCount::getFixed( | ||||||||
| 6939 | determineVPlanVF(TTI->getRegisterBitWidth(true /* Vector*/), CM)); | ||||||||
| 6940 | LLVM_DEBUG(dbgs() << "LV: VPlan computed VF " << VF << ".\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: VPlan computed VF " << VF << ".\n"; } } while (false); | ||||||||
| 6941 | |||||||||
| 6942 | // Make sure we have a VF > 1 for stress testing. | ||||||||
| 6943 | if (VPlanBuildStressTest && (VF.isScalar() || VF.isZero())) { | ||||||||
| 6944 | LLVM_DEBUG(dbgs() << "LV: VPlan stress testing: "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: VPlan stress testing: " << "overriding computed VF.\n"; } } while (false) | ||||||||
| 6945 | << "overriding computed VF.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: VPlan stress testing: " << "overriding computed VF.\n"; } } while (false); | ||||||||
| 6946 | VF = ElementCount::getFixed(4); | ||||||||
| 6947 | } | ||||||||
| 6948 | } | ||||||||
| 6949 | assert(EnableVPlanNativePath && "VPlan-native path is not enabled.")((EnableVPlanNativePath && "VPlan-native path is not enabled." ) ? static_cast<void> (0) : __assert_fail ("EnableVPlanNativePath && \"VPlan-native path is not enabled.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6949, __PRETTY_FUNCTION__)); | ||||||||
| 6950 | assert(isPowerOf2_32(VF.getKnownMinValue()) &&((isPowerOf2_32(VF.getKnownMinValue()) && "VF needs to be a power of two" ) ? static_cast<void> (0) : __assert_fail ("isPowerOf2_32(VF.getKnownMinValue()) && \"VF needs to be a power of two\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6951, __PRETTY_FUNCTION__)) | ||||||||
| 6951 | "VF needs to be a power of two")((isPowerOf2_32(VF.getKnownMinValue()) && "VF needs to be a power of two" ) ? static_cast<void> (0) : __assert_fail ("isPowerOf2_32(VF.getKnownMinValue()) && \"VF needs to be a power of two\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6951, __PRETTY_FUNCTION__)); | ||||||||
| 6952 | LLVM_DEBUG(dbgs() << "LV: Using " << (!UserVF.isZero() ? "user " : "")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Using " << ( !UserVF.isZero() ? "user " : "") << "VF " << VF << " to build VPlans.\n"; } } while (false) | ||||||||
| 6953 | << "VF " << VF << " to build VPlans.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Using " << ( !UserVF.isZero() ? "user " : "") << "VF " << VF << " to build VPlans.\n"; } } while (false); | ||||||||
| 6954 | buildVPlans(VF.getKnownMinValue(), VF.getKnownMinValue()); | ||||||||
| 6955 | |||||||||
| 6956 | // For VPlan build stress testing, we bail out after VPlan construction. | ||||||||
| 6957 | if (VPlanBuildStressTest) | ||||||||
| 6958 | return VectorizationFactor::Disabled(); | ||||||||
| 6959 | |||||||||
| 6960 | return {VF, 0 /*Cost*/}; | ||||||||
| 6961 | } | ||||||||
| 6962 | |||||||||
| 6963 | LLVM_DEBUG(do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not vectorizing. Inner loops aren't supported in the " "VPlan-native path.\n"; } } while (false) | ||||||||
| 6964 | dbgs() << "LV: Not vectorizing. Inner loops aren't supported in the "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not vectorizing. Inner loops aren't supported in the " "VPlan-native path.\n"; } } while (false) | ||||||||
| 6965 | "VPlan-native path.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not vectorizing. Inner loops aren't supported in the " "VPlan-native path.\n"; } } while (false); | ||||||||
| 6966 | return VectorizationFactor::Disabled(); | ||||||||
| 6967 | } | ||||||||
| 6968 | |||||||||
| 6969 | Optional<VectorizationFactor> | ||||||||
| 6970 | LoopVectorizationPlanner::plan(ElementCount UserVF, unsigned UserIC) { | ||||||||
| 6971 | assert(!UserVF.isScalable() && "scalable vectorization not yet handled")((!UserVF.isScalable() && "scalable vectorization not yet handled" ) ? static_cast<void> (0) : __assert_fail ("!UserVF.isScalable() && \"scalable vectorization not yet handled\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6971, __PRETTY_FUNCTION__)); | ||||||||
| 6972 | assert(OrigLoop->isInnermost() && "Inner loop expected.")((OrigLoop->isInnermost() && "Inner loop expected." ) ? static_cast<void> (0) : __assert_fail ("OrigLoop->isInnermost() && \"Inner loop expected.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6972, __PRETTY_FUNCTION__)); | ||||||||
| 6973 | Optional<unsigned> MaybeMaxVF = | ||||||||
| 6974 | CM.computeMaxVF(UserVF.getKnownMinValue(), UserIC); | ||||||||
| 6975 | if (!MaybeMaxVF) // Cases that should not to be vectorized nor interleaved. | ||||||||
| 6976 | return None; | ||||||||
| 6977 | |||||||||
| 6978 | // Invalidate interleave groups if all blocks of loop will be predicated. | ||||||||
| 6979 | if (CM.blockNeedsPredication(OrigLoop->getHeader()) && | ||||||||
| 6980 | !useMaskedInterleavedAccesses(*TTI)) { | ||||||||
| 6981 | LLVM_DEBUG(do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Invalidate all interleaved groups due to fold-tail by masking " "which requires masked-interleaved support.\n"; } } while (false ) | ||||||||
| 6982 | dbgs()do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Invalidate all interleaved groups due to fold-tail by masking " "which requires masked-interleaved support.\n"; } } while (false ) | ||||||||
| 6983 | << "LV: Invalidate all interleaved groups due to fold-tail by masking "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Invalidate all interleaved groups due to fold-tail by masking " "which requires masked-interleaved support.\n"; } } while (false ) | ||||||||
| 6984 | "which requires masked-interleaved support.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Invalidate all interleaved groups due to fold-tail by masking " "which requires masked-interleaved support.\n"; } } while (false ); | ||||||||
| 6985 | if (CM.InterleaveInfo.invalidateGroups()) | ||||||||
| 6986 | // Invalidating interleave groups also requires invalidating all decisions | ||||||||
| 6987 | // based on them, which includes widening decisions and uniform and scalar | ||||||||
| 6988 | // values. | ||||||||
| 6989 | CM.invalidateCostModelingDecisions(); | ||||||||
| 6990 | } | ||||||||
| 6991 | |||||||||
| 6992 | if (!UserVF.isZero()) { | ||||||||
| 6993 | LLVM_DEBUG(dbgs() << "LV: Using user VF " << UserVF << ".\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Using user VF " << UserVF << ".\n"; } } while (false); | ||||||||
| 6994 | assert(isPowerOf2_32(UserVF.getKnownMinValue()) &&((isPowerOf2_32(UserVF.getKnownMinValue()) && "VF needs to be a power of two" ) ? static_cast<void> (0) : __assert_fail ("isPowerOf2_32(UserVF.getKnownMinValue()) && \"VF needs to be a power of two\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6995, __PRETTY_FUNCTION__)) | ||||||||
| 6995 | "VF needs to be a power of two")((isPowerOf2_32(UserVF.getKnownMinValue()) && "VF needs to be a power of two" ) ? static_cast<void> (0) : __assert_fail ("isPowerOf2_32(UserVF.getKnownMinValue()) && \"VF needs to be a power of two\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 6995, __PRETTY_FUNCTION__)); | ||||||||
| 6996 | // Collect the instructions (and their associated costs) that will be more | ||||||||
| 6997 | // profitable to scalarize. | ||||||||
| 6998 | CM.selectUserVectorizationFactor(UserVF); | ||||||||
| 6999 | CM.collectInLoopReductions(); | ||||||||
| 7000 | buildVPlansWithVPRecipes(UserVF.getKnownMinValue(), | ||||||||
| 7001 | UserVF.getKnownMinValue()); | ||||||||
| 7002 | LLVM_DEBUG(printPlans(dbgs()))do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { printPlans(dbgs()); } } while (false); | ||||||||
| 7003 | return {{UserVF, 0}}; | ||||||||
| 7004 | } | ||||||||
| 7005 | |||||||||
| 7006 | unsigned MaxVF = MaybeMaxVF.getValue(); | ||||||||
| 7007 | assert(MaxVF != 0 && "MaxVF is zero.")((MaxVF != 0 && "MaxVF is zero.") ? static_cast<void > (0) : __assert_fail ("MaxVF != 0 && \"MaxVF is zero.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7007, __PRETTY_FUNCTION__)); | ||||||||
| 7008 | |||||||||
| 7009 | for (unsigned VF = 1; VF <= MaxVF; VF *= 2) { | ||||||||
| 7010 | // Collect Uniform and Scalar instructions after vectorization with VF. | ||||||||
| 7011 | CM.collectUniformsAndScalars(ElementCount::getFixed(VF)); | ||||||||
| 7012 | |||||||||
| 7013 | // Collect the instructions (and their associated costs) that will be more | ||||||||
| 7014 | // profitable to scalarize. | ||||||||
| 7015 | if (VF > 1) | ||||||||
| 7016 | CM.collectInstsToScalarize(ElementCount::getFixed(VF)); | ||||||||
| 7017 | } | ||||||||
| 7018 | |||||||||
| 7019 | CM.collectInLoopReductions(); | ||||||||
| 7020 | |||||||||
| 7021 | buildVPlansWithVPRecipes(1, MaxVF); | ||||||||
| 7022 | LLVM_DEBUG(printPlans(dbgs()))do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { printPlans(dbgs()); } } while (false); | ||||||||
| 7023 | if (MaxVF == 1) | ||||||||
| 7024 | return VectorizationFactor::Disabled(); | ||||||||
| 7025 | |||||||||
| 7026 | // Select the optimal vectorization factor. | ||||||||
| 7027 | return CM.selectVectorizationFactor(MaxVF); | ||||||||
| 7028 | } | ||||||||
| 7029 | |||||||||
| 7030 | void LoopVectorizationPlanner::setBestPlan(ElementCount VF, unsigned UF) { | ||||||||
| 7031 | LLVM_DEBUG(dbgs() << "Setting best plan to VF=" << VF << ", UF=" << UFdo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "Setting best plan to VF=" << VF << ", UF=" << UF << '\n'; } } while (false) | ||||||||
| 7032 | << '\n')do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "Setting best plan to VF=" << VF << ", UF=" << UF << '\n'; } } while (false); | ||||||||
| 7033 | BestVF = VF; | ||||||||
| 7034 | BestUF = UF; | ||||||||
| 7035 | |||||||||
| 7036 | erase_if(VPlans, [VF](const VPlanPtr &Plan) { | ||||||||
| 7037 | return !Plan->hasVF(VF); | ||||||||
| 7038 | }); | ||||||||
| 7039 | assert(VPlans.size() == 1 && "Best VF has not a single VPlan.")((VPlans.size() == 1 && "Best VF has not a single VPlan." ) ? static_cast<void> (0) : __assert_fail ("VPlans.size() == 1 && \"Best VF has not a single VPlan.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7039, __PRETTY_FUNCTION__)); | ||||||||
| 7040 | } | ||||||||
| 7041 | |||||||||
| 7042 | void LoopVectorizationPlanner::executePlan(InnerLoopVectorizer &ILV, | ||||||||
| 7043 | DominatorTree *DT) { | ||||||||
| 7044 | // Perform the actual loop transformation. | ||||||||
| 7045 | |||||||||
| 7046 | // 1. Create a new empty loop. Unlink the old loop and connect the new one. | ||||||||
| 7047 | VPCallbackILV CallbackILV(ILV); | ||||||||
| 7048 | |||||||||
| 7049 | assert(BestVF.hasValue() && "Vectorization Factor is missing")((BestVF.hasValue() && "Vectorization Factor is missing" ) ? static_cast<void> (0) : __assert_fail ("BestVF.hasValue() && \"Vectorization Factor is missing\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7049, __PRETTY_FUNCTION__)); | ||||||||
| 7050 | |||||||||
| 7051 | VPTransformState State{*BestVF, BestUF, LI, | ||||||||
| 7052 | DT, ILV.Builder, ILV.VectorLoopValueMap, | ||||||||
| 7053 | &ILV, CallbackILV}; | ||||||||
| 7054 | State.CFG.PrevBB = ILV.createVectorizedLoopSkeleton(); | ||||||||
| 7055 | State.TripCount = ILV.getOrCreateTripCount(nullptr); | ||||||||
| 7056 | State.CanonicalIV = ILV.Induction; | ||||||||
| 7057 | |||||||||
| 7058 | //===------------------------------------------------===// | ||||||||
| 7059 | // | ||||||||
| 7060 | // Notice: any optimization or new instruction that go | ||||||||
| 7061 | // into the code below should also be implemented in | ||||||||
| 7062 | // the cost-model. | ||||||||
| 7063 | // | ||||||||
| 7064 | //===------------------------------------------------===// | ||||||||
| 7065 | |||||||||
| 7066 | // 2. Copy and widen instructions from the old loop into the new loop. | ||||||||
| 7067 | assert(VPlans.size() == 1 && "Not a single VPlan to execute.")((VPlans.size() == 1 && "Not a single VPlan to execute." ) ? static_cast<void> (0) : __assert_fail ("VPlans.size() == 1 && \"Not a single VPlan to execute.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7067, __PRETTY_FUNCTION__)); | ||||||||
| 7068 | VPlans.front()->execute(&State); | ||||||||
| 7069 | |||||||||
| 7070 | // 3. Fix the vectorized code: take care of header phi's, live-outs, | ||||||||
| 7071 | // predication, updating analyses. | ||||||||
| 7072 | ILV.fixVectorizedLoop(); | ||||||||
| 7073 | } | ||||||||
| 7074 | |||||||||
| 7075 | void LoopVectorizationPlanner::collectTriviallyDeadInstructions( | ||||||||
| 7076 | SmallPtrSetImpl<Instruction *> &DeadInstructions) { | ||||||||
| 7077 | BasicBlock *Latch = OrigLoop->getLoopLatch(); | ||||||||
| 7078 | |||||||||
| 7079 | // We create new control-flow for the vectorized loop, so the original | ||||||||
| 7080 | // condition will be dead after vectorization if it's only used by the | ||||||||
| 7081 | // branch. | ||||||||
| 7082 | auto *Cmp = dyn_cast<Instruction>(Latch->getTerminator()->getOperand(0)); | ||||||||
| 7083 | if (Cmp && Cmp->hasOneUse()) | ||||||||
| 7084 | DeadInstructions.insert(Cmp); | ||||||||
| 7085 | |||||||||
| 7086 | // We create new "steps" for induction variable updates to which the original | ||||||||
| 7087 | // induction variables map. An original update instruction will be dead if | ||||||||
| 7088 | // all its users except the induction variable are dead. | ||||||||
| 7089 | for (auto &Induction : Legal->getInductionVars()) { | ||||||||
| 7090 | PHINode *Ind = Induction.first; | ||||||||
| 7091 | auto *IndUpdate = cast<Instruction>(Ind->getIncomingValueForBlock(Latch)); | ||||||||
| 7092 | if (llvm::all_of(IndUpdate->users(), [&](User *U) -> bool { | ||||||||
| 7093 | return U == Ind || DeadInstructions.count(cast<Instruction>(U)); | ||||||||
| 7094 | })) | ||||||||
| 7095 | DeadInstructions.insert(IndUpdate); | ||||||||
| 7096 | |||||||||
| 7097 | // We record as "Dead" also the type-casting instructions we had identified | ||||||||
| 7098 | // during induction analysis. We don't need any handling for them in the | ||||||||
| 7099 | // vectorized loop because we have proven that, under a proper runtime | ||||||||
| 7100 | // test guarding the vectorized loop, the value of the phi, and the casted | ||||||||
| 7101 | // value of the phi, are the same. The last instruction in this casting chain | ||||||||
| 7102 | // will get its scalar/vector/widened def from the scalar/vector/widened def | ||||||||
| 7103 | // of the respective phi node. Any other casts in the induction def-use chain | ||||||||
| 7104 | // have no other uses outside the phi update chain, and will be ignored. | ||||||||
| 7105 | InductionDescriptor &IndDes = Induction.second; | ||||||||
| 7106 | const SmallVectorImpl<Instruction *> &Casts = IndDes.getCastInsts(); | ||||||||
| 7107 | DeadInstructions.insert(Casts.begin(), Casts.end()); | ||||||||
| 7108 | } | ||||||||
| 7109 | } | ||||||||
| 7110 | |||||||||
| 7111 | Value *InnerLoopUnroller::reverseVector(Value *Vec) { return Vec; } | ||||||||
| 7112 | |||||||||
| 7113 | Value *InnerLoopUnroller::getBroadcastInstrs(Value *V) { return V; } | ||||||||
| 7114 | |||||||||
| 7115 | Value *InnerLoopUnroller::getStepVector(Value *Val, int StartIdx, Value *Step, | ||||||||
| 7116 | Instruction::BinaryOps BinOp) { | ||||||||
| 7117 | // When unrolling and the VF is 1, we only need to add a simple scalar. | ||||||||
| 7118 | Type *Ty = Val->getType(); | ||||||||
| 7119 | assert(!Ty->isVectorTy() && "Val must be a scalar")((!Ty->isVectorTy() && "Val must be a scalar") ? static_cast <void> (0) : __assert_fail ("!Ty->isVectorTy() && \"Val must be a scalar\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7119, __PRETTY_FUNCTION__)); | ||||||||
| 7120 | |||||||||
| 7121 | if (Ty->isFloatingPointTy()) { | ||||||||
| 7122 | Constant *C = ConstantFP::get(Ty, (double)StartIdx); | ||||||||
| 7123 | |||||||||
| 7124 | // Floating point operations had to be 'fast' to enable the unrolling. | ||||||||
| 7125 | Value *MulOp = addFastMathFlag(Builder.CreateFMul(C, Step)); | ||||||||
| 7126 | return addFastMathFlag(Builder.CreateBinOp(BinOp, Val, MulOp)); | ||||||||
| 7127 | } | ||||||||
| 7128 | Constant *C = ConstantInt::get(Ty, StartIdx); | ||||||||
| 7129 | return Builder.CreateAdd(Val, Builder.CreateMul(C, Step), "induction"); | ||||||||
| 7130 | } | ||||||||
| 7131 | |||||||||
| 7132 | static void AddRuntimeUnrollDisableMetaData(Loop *L) { | ||||||||
| 7133 | SmallVector<Metadata *, 4> MDs; | ||||||||
| 7134 | // Reserve first location for self reference to the LoopID metadata node. | ||||||||
| 7135 | MDs.push_back(nullptr); | ||||||||
| 7136 | bool IsUnrollMetadata = false; | ||||||||
| 7137 | MDNode *LoopID = L->getLoopID(); | ||||||||
| 7138 | if (LoopID) { | ||||||||
| 7139 | // First find existing loop unrolling disable metadata. | ||||||||
| 7140 | for (unsigned i = 1, ie = LoopID->getNumOperands(); i < ie; ++i) { | ||||||||
| 7141 | auto *MD = dyn_cast<MDNode>(LoopID->getOperand(i)); | ||||||||
| 7142 | if (MD) { | ||||||||
| 7143 | const auto *S = dyn_cast<MDString>(MD->getOperand(0)); | ||||||||
| 7144 | IsUnrollMetadata = | ||||||||
| 7145 | S && S->getString().startswith("llvm.loop.unroll.disable"); | ||||||||
| 7146 | } | ||||||||
| 7147 | MDs.push_back(LoopID->getOperand(i)); | ||||||||
| 7148 | } | ||||||||
| 7149 | } | ||||||||
| 7150 | |||||||||
| 7151 | if (!IsUnrollMetadata) { | ||||||||
| 7152 | // Add runtime unroll disable metadata. | ||||||||
| 7153 | LLVMContext &Context = L->getHeader()->getContext(); | ||||||||
| 7154 | SmallVector<Metadata *, 1> DisableOperands; | ||||||||
| 7155 | DisableOperands.push_back( | ||||||||
| 7156 | MDString::get(Context, "llvm.loop.unroll.runtime.disable")); | ||||||||
| 7157 | MDNode *DisableNode = MDNode::get(Context, DisableOperands); | ||||||||
| 7158 | MDs.push_back(DisableNode); | ||||||||
| 7159 | MDNode *NewLoopID = MDNode::get(Context, MDs); | ||||||||
| 7160 | // Set operand 0 to refer to the loop id itself. | ||||||||
| 7161 | NewLoopID->replaceOperandWith(0, NewLoopID); | ||||||||
| 7162 | L->setLoopID(NewLoopID); | ||||||||
| 7163 | } | ||||||||
| 7164 | } | ||||||||
| 7165 | |||||||||
| 7166 | bool LoopVectorizationPlanner::getDecisionAndClampRange( | ||||||||
| 7167 | const std::function<bool(ElementCount)> &Predicate, VFRange &Range) { | ||||||||
| 7168 | assert(Range.End > Range.Start && "Trying to test an empty VF range.")((Range.End > Range.Start && "Trying to test an empty VF range." ) ? static_cast<void> (0) : __assert_fail ("Range.End > Range.Start && \"Trying to test an empty VF range.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7168, __PRETTY_FUNCTION__)); | ||||||||
| 7169 | bool PredicateAtRangeStart = Predicate(ElementCount::getFixed(Range.Start)); | ||||||||
| 7170 | |||||||||
| 7171 | for (unsigned TmpVF = Range.Start * 2; TmpVF < Range.End; TmpVF *= 2) | ||||||||
| 7172 | if (Predicate(ElementCount::getFixed(TmpVF)) != PredicateAtRangeStart) { | ||||||||
| 7173 | Range.End = TmpVF; | ||||||||
| 7174 | break; | ||||||||
| 7175 | } | ||||||||
| 7176 | |||||||||
| 7177 | return PredicateAtRangeStart; | ||||||||
| 7178 | } | ||||||||
| 7179 | |||||||||
| 7180 | /// Build VPlans for the full range of feasible VF's = {\p MinVF, 2 * \p MinVF, | ||||||||
| 7181 | /// 4 * \p MinVF, ..., \p MaxVF} by repeatedly building a VPlan for a sub-range | ||||||||
| 7182 | /// of VF's starting at a given VF and extending it as much as possible. Each | ||||||||
| 7183 | /// vectorization decision can potentially shorten this sub-range during | ||||||||
| 7184 | /// buildVPlan(). | ||||||||
| 7185 | void LoopVectorizationPlanner::buildVPlans(unsigned MinVF, unsigned MaxVF) { | ||||||||
| 7186 | for (unsigned VF = MinVF; VF < MaxVF + 1;) { | ||||||||
| 7187 | VFRange SubRange = {VF, MaxVF + 1}; | ||||||||
| 7188 | VPlans.push_back(buildVPlan(SubRange)); | ||||||||
| 7189 | VF = SubRange.End; | ||||||||
| 7190 | } | ||||||||
| 7191 | } | ||||||||
| 7192 | |||||||||
| 7193 | VPValue *VPRecipeBuilder::createEdgeMask(BasicBlock *Src, BasicBlock *Dst, | ||||||||
| 7194 | VPlanPtr &Plan) { | ||||||||
| 7195 | assert(is_contained(predecessors(Dst), Src) && "Invalid edge")((is_contained(predecessors(Dst), Src) && "Invalid edge" ) ? static_cast<void> (0) : __assert_fail ("is_contained(predecessors(Dst), Src) && \"Invalid edge\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7195, __PRETTY_FUNCTION__)); | ||||||||
| 7196 | |||||||||
| 7197 | // Look for cached value. | ||||||||
| 7198 | std::pair<BasicBlock *, BasicBlock *> Edge(Src, Dst); | ||||||||
| 7199 | EdgeMaskCacheTy::iterator ECEntryIt = EdgeMaskCache.find(Edge); | ||||||||
| 7200 | if (ECEntryIt != EdgeMaskCache.end()) | ||||||||
| 7201 | return ECEntryIt->second; | ||||||||
| 7202 | |||||||||
| 7203 | VPValue *SrcMask = createBlockInMask(Src, Plan); | ||||||||
| 7204 | |||||||||
| 7205 | // The terminator has to be a branch inst! | ||||||||
| 7206 | BranchInst *BI = dyn_cast<BranchInst>(Src->getTerminator()); | ||||||||
| 7207 | assert(BI && "Unexpected terminator found")((BI && "Unexpected terminator found") ? static_cast< void> (0) : __assert_fail ("BI && \"Unexpected terminator found\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7207, __PRETTY_FUNCTION__)); | ||||||||
| 7208 | |||||||||
| 7209 | if (!BI->isConditional() || BI->getSuccessor(0) == BI->getSuccessor(1)) | ||||||||
| 7210 | return EdgeMaskCache[Edge] = SrcMask; | ||||||||
| 7211 | |||||||||
| 7212 | VPValue *EdgeMask = Plan->getVPValue(BI->getCondition()); | ||||||||
| 7213 | assert(EdgeMask && "No Edge Mask found for condition")((EdgeMask && "No Edge Mask found for condition") ? static_cast <void> (0) : __assert_fail ("EdgeMask && \"No Edge Mask found for condition\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7213, __PRETTY_FUNCTION__)); | ||||||||
| 7214 | |||||||||
| 7215 | if (BI->getSuccessor(0) != Dst) | ||||||||
| 7216 | EdgeMask = Builder.createNot(EdgeMask); | ||||||||
| 7217 | |||||||||
| 7218 | if (SrcMask) // Otherwise block in-mask is all-one, no need to AND. | ||||||||
| 7219 | EdgeMask = Builder.createAnd(EdgeMask, SrcMask); | ||||||||
| 7220 | |||||||||
| 7221 | return EdgeMaskCache[Edge] = EdgeMask; | ||||||||
| 7222 | } | ||||||||
| 7223 | |||||||||
| 7224 | VPValue *VPRecipeBuilder::createBlockInMask(BasicBlock *BB, VPlanPtr &Plan) { | ||||||||
| 7225 | assert(OrigLoop->contains(BB) && "Block is not a part of a loop")((OrigLoop->contains(BB) && "Block is not a part of a loop" ) ? static_cast<void> (0) : __assert_fail ("OrigLoop->contains(BB) && \"Block is not a part of a loop\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7225, __PRETTY_FUNCTION__)); | ||||||||
| 7226 | |||||||||
| 7227 | // Look for cached value. | ||||||||
| 7228 | BlockMaskCacheTy::iterator BCEntryIt = BlockMaskCache.find(BB); | ||||||||
| 7229 | if (BCEntryIt != BlockMaskCache.end()) | ||||||||
| 7230 | return BCEntryIt->second; | ||||||||
| 7231 | |||||||||
| 7232 | // All-one mask is modelled as no-mask following the convention for masked | ||||||||
| 7233 | // load/store/gather/scatter. Initialize BlockMask to no-mask. | ||||||||
| 7234 | VPValue *BlockMask = nullptr; | ||||||||
| 7235 | |||||||||
| 7236 | if (OrigLoop->getHeader() == BB) { | ||||||||
| 7237 | if (!CM.blockNeedsPredication(BB)) | ||||||||
| 7238 | return BlockMaskCache[BB] = BlockMask; // Loop incoming mask is all-one. | ||||||||
| 7239 | |||||||||
| 7240 | // Introduce the early-exit compare IV <= BTC to form header block mask. | ||||||||
| 7241 | // This is used instead of IV < TC because TC may wrap, unlike BTC. | ||||||||
| 7242 | // Start by constructing the desired canonical IV. | ||||||||
| 7243 | VPValue *IV = nullptr; | ||||||||
| 7244 | if (Legal->getPrimaryInduction()) | ||||||||
| 7245 | IV = Plan->getVPValue(Legal->getPrimaryInduction()); | ||||||||
| 7246 | else { | ||||||||
| 7247 | auto IVRecipe = new VPWidenCanonicalIVRecipe(); | ||||||||
| 7248 | Builder.getInsertBlock()->appendRecipe(IVRecipe); | ||||||||
| 7249 | IV = IVRecipe->getVPValue(); | ||||||||
| 7250 | } | ||||||||
| 7251 | VPValue *BTC = Plan->getOrCreateBackedgeTakenCount(); | ||||||||
| 7252 | bool TailFolded = !CM.isScalarEpilogueAllowed(); | ||||||||
| 7253 | |||||||||
| 7254 | if (TailFolded && CM.TTI.emitGetActiveLaneMask()) { | ||||||||
| 7255 | // While ActiveLaneMask is a binary op that consumes the loop tripcount | ||||||||
| 7256 | // as a second argument, we only pass the IV here and extract the | ||||||||
| 7257 | // tripcount from the transform state where codegen of the VP instructions | ||||||||
| 7258 | // happen. | ||||||||
| 7259 | BlockMask = Builder.createNaryOp(VPInstruction::ActiveLaneMask, {IV}); | ||||||||
| 7260 | } else { | ||||||||
| 7261 | BlockMask = Builder.createNaryOp(VPInstruction::ICmpULE, {IV, BTC}); | ||||||||
| 7262 | } | ||||||||
| 7263 | return BlockMaskCache[BB] = BlockMask; | ||||||||
| 7264 | } | ||||||||
| 7265 | |||||||||
| 7266 | // This is the block mask. We OR all incoming edges. | ||||||||
| 7267 | for (auto *Predecessor : predecessors(BB)) { | ||||||||
| 7268 | VPValue *EdgeMask = createEdgeMask(Predecessor, BB, Plan); | ||||||||
| 7269 | if (!EdgeMask
| ||||||||
| 7270 | return BlockMaskCache[BB] = EdgeMask; | ||||||||
| |||||||||
| 7271 | |||||||||
| 7272 | if (!BlockMask
| ||||||||
| 7273 | BlockMask = EdgeMask; | ||||||||
| 7274 | continue; | ||||||||
| 7275 | } | ||||||||
| 7276 | |||||||||
| 7277 | BlockMask = Builder.createOr(BlockMask, EdgeMask); | ||||||||
| 7278 | } | ||||||||
| 7279 | |||||||||
| 7280 | return BlockMaskCache[BB] = BlockMask; | ||||||||
| 7281 | } | ||||||||
| 7282 | |||||||||
| 7283 | VPWidenMemoryInstructionRecipe * | ||||||||
| 7284 | VPRecipeBuilder::tryToWidenMemory(Instruction *I, VFRange &Range, | ||||||||
| 7285 | VPlanPtr &Plan) { | ||||||||
| 7286 | assert((isa<LoadInst>(I) || isa<StoreInst>(I)) &&(((isa<LoadInst>(I) || isa<StoreInst>(I)) && "Must be called with either a load or store") ? static_cast< void> (0) : __assert_fail ("(isa<LoadInst>(I) || isa<StoreInst>(I)) && \"Must be called with either a load or store\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7287, __PRETTY_FUNCTION__)) | ||||||||
| 7287 | "Must be called with either a load or store")(((isa<LoadInst>(I) || isa<StoreInst>(I)) && "Must be called with either a load or store") ? static_cast< void> (0) : __assert_fail ("(isa<LoadInst>(I) || isa<StoreInst>(I)) && \"Must be called with either a load or store\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7287, __PRETTY_FUNCTION__)); | ||||||||
| 7288 | |||||||||
| 7289 | auto willWiden = [&](ElementCount VF) -> bool { | ||||||||
| 7290 | assert(!VF.isScalable() && "unexpected scalable ElementCount")((!VF.isScalable() && "unexpected scalable ElementCount" ) ? static_cast<void> (0) : __assert_fail ("!VF.isScalable() && \"unexpected scalable ElementCount\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7290, __PRETTY_FUNCTION__)); | ||||||||
| 7291 | if (VF.isScalar()) | ||||||||
| 7292 | return false; | ||||||||
| 7293 | LoopVectorizationCostModel::InstWidening Decision = | ||||||||
| 7294 | CM.getWideningDecision(I, VF); | ||||||||
| 7295 | assert(Decision != LoopVectorizationCostModel::CM_Unknown &&((Decision != LoopVectorizationCostModel::CM_Unknown && "CM decision should be taken at this point.") ? static_cast< void> (0) : __assert_fail ("Decision != LoopVectorizationCostModel::CM_Unknown && \"CM decision should be taken at this point.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7296, __PRETTY_FUNCTION__)) | ||||||||
| 7296 | "CM decision should be taken at this point.")((Decision != LoopVectorizationCostModel::CM_Unknown && "CM decision should be taken at this point.") ? static_cast< void> (0) : __assert_fail ("Decision != LoopVectorizationCostModel::CM_Unknown && \"CM decision should be taken at this point.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7296, __PRETTY_FUNCTION__)); | ||||||||
| 7297 | if (Decision == LoopVectorizationCostModel::CM_Interleave) | ||||||||
| 7298 | return true; | ||||||||
| 7299 | if (CM.isScalarAfterVectorization(I, VF) || | ||||||||
| 7300 | CM.isProfitableToScalarize(I, VF)) | ||||||||
| 7301 | return false; | ||||||||
| 7302 | return Decision != LoopVectorizationCostModel::CM_Scalarize; | ||||||||
| 7303 | }; | ||||||||
| 7304 | |||||||||
| 7305 | if (!LoopVectorizationPlanner::getDecisionAndClampRange(willWiden, Range)) | ||||||||
| 7306 | return nullptr; | ||||||||
| 7307 | |||||||||
| 7308 | VPValue *Mask = nullptr; | ||||||||
| 7309 | if (Legal->isMaskRequired(I)) | ||||||||
| 7310 | Mask = createBlockInMask(I->getParent(), Plan); | ||||||||
| 7311 | |||||||||
| 7312 | VPValue *Addr = Plan->getOrAddVPValue(getLoadStorePointerOperand(I)); | ||||||||
| 7313 | if (LoadInst *Load = dyn_cast<LoadInst>(I)) | ||||||||
| 7314 | return new VPWidenMemoryInstructionRecipe(*Load, Addr, Mask); | ||||||||
| 7315 | |||||||||
| 7316 | StoreInst *Store = cast<StoreInst>(I); | ||||||||
| 7317 | VPValue *StoredValue = Plan->getOrAddVPValue(Store->getValueOperand()); | ||||||||
| 7318 | return new VPWidenMemoryInstructionRecipe(*Store, Addr, StoredValue, Mask); | ||||||||
| 7319 | } | ||||||||
| 7320 | |||||||||
| 7321 | VPWidenIntOrFpInductionRecipe * | ||||||||
| 7322 | VPRecipeBuilder::tryToOptimizeInductionPHI(PHINode *Phi) const { | ||||||||
| 7323 | // Check if this is an integer or fp induction. If so, build the recipe that | ||||||||
| 7324 | // produces its scalar and vector values. | ||||||||
| 7325 | InductionDescriptor II = Legal->getInductionVars().lookup(Phi); | ||||||||
| 7326 | if (II.getKind() == InductionDescriptor::IK_IntInduction || | ||||||||
| 7327 | II.getKind() == InductionDescriptor::IK_FpInduction) | ||||||||
| 7328 | return new VPWidenIntOrFpInductionRecipe(Phi); | ||||||||
| 7329 | |||||||||
| 7330 | return nullptr; | ||||||||
| 7331 | } | ||||||||
| 7332 | |||||||||
| 7333 | VPWidenIntOrFpInductionRecipe * | ||||||||
| 7334 | VPRecipeBuilder::tryToOptimizeInductionTruncate(TruncInst *I, | ||||||||
| 7335 | VFRange &Range) const { | ||||||||
| 7336 | // Optimize the special case where the source is a constant integer | ||||||||
| 7337 | // induction variable. Notice that we can only optimize the 'trunc' case | ||||||||
| 7338 | // because (a) FP conversions lose precision, (b) sext/zext may wrap, and | ||||||||
| 7339 | // (c) other casts depend on pointer size. | ||||||||
| 7340 | |||||||||
| 7341 | // Determine whether \p K is a truncation based on an induction variable that | ||||||||
| 7342 | // can be optimized. | ||||||||
| 7343 | auto isOptimizableIVTruncate = | ||||||||
| 7344 | [&](Instruction *K) -> std::function<bool(ElementCount)> { | ||||||||
| 7345 | return [=](ElementCount VF) -> bool { | ||||||||
| 7346 | return CM.isOptimizableIVTruncate(K, VF); | ||||||||
| 7347 | }; | ||||||||
| 7348 | }; | ||||||||
| 7349 | |||||||||
| 7350 | if (LoopVectorizationPlanner::getDecisionAndClampRange( | ||||||||
| 7351 | isOptimizableIVTruncate(I), Range)) | ||||||||
| 7352 | return new VPWidenIntOrFpInductionRecipe(cast<PHINode>(I->getOperand(0)), | ||||||||
| 7353 | I); | ||||||||
| 7354 | return nullptr; | ||||||||
| 7355 | } | ||||||||
| 7356 | |||||||||
| 7357 | VPBlendRecipe *VPRecipeBuilder::tryToBlend(PHINode *Phi, VPlanPtr &Plan) { | ||||||||
| 7358 | // We know that all PHIs in non-header blocks are converted into selects, so | ||||||||
| 7359 | // we don't have to worry about the insertion order and we can just use the | ||||||||
| 7360 | // builder. At this point we generate the predication tree. There may be | ||||||||
| 7361 | // duplications since this is a simple recursive scan, but future | ||||||||
| 7362 | // optimizations will clean it up. | ||||||||
| 7363 | |||||||||
| 7364 | SmallVector<VPValue *, 2> Operands; | ||||||||
| 7365 | unsigned NumIncoming = Phi->getNumIncomingValues(); | ||||||||
| 7366 | for (unsigned In = 0; In < NumIncoming; In++) { | ||||||||
| 7367 | VPValue *EdgeMask = | ||||||||
| 7368 | createEdgeMask(Phi->getIncomingBlock(In), Phi->getParent(), Plan); | ||||||||
| 7369 | assert((EdgeMask || NumIncoming == 1) &&(((EdgeMask || NumIncoming == 1) && "Multiple predecessors with one having a full mask" ) ? static_cast<void> (0) : __assert_fail ("(EdgeMask || NumIncoming == 1) && \"Multiple predecessors with one having a full mask\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7370, __PRETTY_FUNCTION__)) | ||||||||
| 7370 | "Multiple predecessors with one having a full mask")(((EdgeMask || NumIncoming == 1) && "Multiple predecessors with one having a full mask" ) ? static_cast<void> (0) : __assert_fail ("(EdgeMask || NumIncoming == 1) && \"Multiple predecessors with one having a full mask\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7370, __PRETTY_FUNCTION__)); | ||||||||
| 7371 | Operands.push_back(Plan->getOrAddVPValue(Phi->getIncomingValue(In))); | ||||||||
| 7372 | if (EdgeMask) | ||||||||
| 7373 | Operands.push_back(EdgeMask); | ||||||||
| 7374 | } | ||||||||
| 7375 | return new VPBlendRecipe(Phi, Operands); | ||||||||
| 7376 | } | ||||||||
| 7377 | |||||||||
| 7378 | VPWidenCallRecipe *VPRecipeBuilder::tryToWidenCall(CallInst *CI, VFRange &Range, | ||||||||
| 7379 | VPlan &Plan) const { | ||||||||
| 7380 | |||||||||
| 7381 | bool IsPredicated = LoopVectorizationPlanner::getDecisionAndClampRange( | ||||||||
| 7382 | [this, CI](ElementCount VF) { | ||||||||
| 7383 | return CM.isScalarWithPredication(CI, VF); | ||||||||
| 7384 | }, | ||||||||
| 7385 | Range); | ||||||||
| 7386 | |||||||||
| 7387 | if (IsPredicated) | ||||||||
| 7388 | return nullptr; | ||||||||
| 7389 | |||||||||
| 7390 | Intrinsic::ID ID = getVectorIntrinsicIDForCall(CI, TLI); | ||||||||
| 7391 | if (ID && (ID == Intrinsic::assume || ID == Intrinsic::lifetime_end || | ||||||||
| 7392 | ID == Intrinsic::lifetime_start || ID == Intrinsic::sideeffect)) | ||||||||
| 7393 | return nullptr; | ||||||||
| 7394 | |||||||||
| 7395 | auto willWiden = [&](ElementCount VF) -> bool { | ||||||||
| 7396 | Intrinsic::ID ID = getVectorIntrinsicIDForCall(CI, TLI); | ||||||||
| 7397 | // The following case may be scalarized depending on the VF. | ||||||||
| 7398 | // The flag shows whether we use Intrinsic or a usual Call for vectorized | ||||||||
| 7399 | // version of the instruction. | ||||||||
| 7400 | // Is it beneficial to perform intrinsic call compared to lib call? | ||||||||
| 7401 | bool NeedToScalarize = false; | ||||||||
| 7402 | unsigned CallCost = CM.getVectorCallCost(CI, VF, NeedToScalarize); | ||||||||
| 7403 | bool UseVectorIntrinsic = | ||||||||
| 7404 | ID && CM.getVectorIntrinsicCost(CI, VF) <= CallCost; | ||||||||
| 7405 | return UseVectorIntrinsic || !NeedToScalarize; | ||||||||
| 7406 | }; | ||||||||
| 7407 | |||||||||
| 7408 | if (!LoopVectorizationPlanner::getDecisionAndClampRange(willWiden, Range)) | ||||||||
| 7409 | return nullptr; | ||||||||
| 7410 | |||||||||
| 7411 | return new VPWidenCallRecipe(*CI, Plan.mapToVPValues(CI->arg_operands())); | ||||||||
| 7412 | } | ||||||||
| 7413 | |||||||||
| 7414 | bool VPRecipeBuilder::shouldWiden(Instruction *I, VFRange &Range) const { | ||||||||
| 7415 | assert(!isa<BranchInst>(I) && !isa<PHINode>(I) && !isa<LoadInst>(I) &&((!isa<BranchInst>(I) && !isa<PHINode>(I) && !isa<LoadInst>(I) && !isa<StoreInst >(I) && "Instruction should have been handled earlier" ) ? static_cast<void> (0) : __assert_fail ("!isa<BranchInst>(I) && !isa<PHINode>(I) && !isa<LoadInst>(I) && !isa<StoreInst>(I) && \"Instruction should have been handled earlier\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7416, __PRETTY_FUNCTION__)) | ||||||||
| 7416 | !isa<StoreInst>(I) && "Instruction should have been handled earlier")((!isa<BranchInst>(I) && !isa<PHINode>(I) && !isa<LoadInst>(I) && !isa<StoreInst >(I) && "Instruction should have been handled earlier" ) ? static_cast<void> (0) : __assert_fail ("!isa<BranchInst>(I) && !isa<PHINode>(I) && !isa<LoadInst>(I) && !isa<StoreInst>(I) && \"Instruction should have been handled earlier\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7416, __PRETTY_FUNCTION__)); | ||||||||
| 7417 | // Instruction should be widened, unless it is scalar after vectorization, | ||||||||
| 7418 | // scalarization is profitable or it is predicated. | ||||||||
| 7419 | auto WillScalarize = [this, I](ElementCount VF) -> bool { | ||||||||
| 7420 | return CM.isScalarAfterVectorization(I, VF) || | ||||||||
| 7421 | CM.isProfitableToScalarize(I, VF) || | ||||||||
| 7422 | CM.isScalarWithPredication(I, VF); | ||||||||
| 7423 | }; | ||||||||
| 7424 | return !LoopVectorizationPlanner::getDecisionAndClampRange(WillScalarize, | ||||||||
| 7425 | Range); | ||||||||
| 7426 | } | ||||||||
| 7427 | |||||||||
| 7428 | VPWidenRecipe *VPRecipeBuilder::tryToWiden(Instruction *I, VPlan &Plan) const { | ||||||||
| 7429 | auto IsVectorizableOpcode = [](unsigned Opcode) { | ||||||||
| 7430 | switch (Opcode) { | ||||||||
| 7431 | case Instruction::Add: | ||||||||
| 7432 | case Instruction::And: | ||||||||
| 7433 | case Instruction::AShr: | ||||||||
| 7434 | case Instruction::BitCast: | ||||||||
| 7435 | case Instruction::FAdd: | ||||||||
| 7436 | case Instruction::FCmp: | ||||||||
| 7437 | case Instruction::FDiv: | ||||||||
| 7438 | case Instruction::FMul: | ||||||||
| 7439 | case Instruction::FNeg: | ||||||||
| 7440 | case Instruction::FPExt: | ||||||||
| 7441 | case Instruction::FPToSI: | ||||||||
| 7442 | case Instruction::FPToUI: | ||||||||
| 7443 | case Instruction::FPTrunc: | ||||||||
| 7444 | case Instruction::FRem: | ||||||||
| 7445 | case Instruction::FSub: | ||||||||
| 7446 | case Instruction::ICmp: | ||||||||
| 7447 | case Instruction::IntToPtr: | ||||||||
| 7448 | case Instruction::LShr: | ||||||||
| 7449 | case Instruction::Mul: | ||||||||
| 7450 | case Instruction::Or: | ||||||||
| 7451 | case Instruction::PtrToInt: | ||||||||
| 7452 | case Instruction::SDiv: | ||||||||
| 7453 | case Instruction::Select: | ||||||||
| 7454 | case Instruction::SExt: | ||||||||
| 7455 | case Instruction::Shl: | ||||||||
| 7456 | case Instruction::SIToFP: | ||||||||
| 7457 | case Instruction::SRem: | ||||||||
| 7458 | case Instruction::Sub: | ||||||||
| 7459 | case Instruction::Trunc: | ||||||||
| 7460 | case Instruction::UDiv: | ||||||||
| 7461 | case Instruction::UIToFP: | ||||||||
| 7462 | case Instruction::URem: | ||||||||
| 7463 | case Instruction::Xor: | ||||||||
| 7464 | case Instruction::ZExt: | ||||||||
| 7465 | return true; | ||||||||
| 7466 | } | ||||||||
| 7467 | return false; | ||||||||
| 7468 | }; | ||||||||
| 7469 | |||||||||
| 7470 | if (!IsVectorizableOpcode(I->getOpcode())) | ||||||||
| 7471 | return nullptr; | ||||||||
| 7472 | |||||||||
| 7473 | // Success: widen this instruction. | ||||||||
| 7474 | return new VPWidenRecipe(*I, Plan.mapToVPValues(I->operands())); | ||||||||
| 7475 | } | ||||||||
| 7476 | |||||||||
| 7477 | VPBasicBlock *VPRecipeBuilder::handleReplication( | ||||||||
| 7478 | Instruction *I, VFRange &Range, VPBasicBlock *VPBB, | ||||||||
| 7479 | DenseMap<Instruction *, VPReplicateRecipe *> &PredInst2Recipe, | ||||||||
| 7480 | VPlanPtr &Plan) { | ||||||||
| 7481 | bool IsUniform = LoopVectorizationPlanner::getDecisionAndClampRange( | ||||||||
| 7482 | [&](ElementCount VF) { return CM.isUniformAfterVectorization(I, VF); }, | ||||||||
| 7483 | Range); | ||||||||
| 7484 | |||||||||
| 7485 | bool IsPredicated = LoopVectorizationPlanner::getDecisionAndClampRange( | ||||||||
| 7486 | [&](ElementCount VF) { return CM.isScalarWithPredication(I, VF); }, | ||||||||
| 7487 | Range); | ||||||||
| 7488 | |||||||||
| 7489 | auto *Recipe = new VPReplicateRecipe(I, Plan->mapToVPValues(I->operands()), | ||||||||
| 7490 | IsUniform, IsPredicated); | ||||||||
| 7491 | setRecipe(I, Recipe); | ||||||||
| 7492 | |||||||||
| 7493 | // Find if I uses a predicated instruction. If so, it will use its scalar | ||||||||
| 7494 | // value. Avoid hoisting the insert-element which packs the scalar value into | ||||||||
| 7495 | // a vector value, as that happens iff all users use the vector value. | ||||||||
| 7496 | for (auto &Op : I->operands()) | ||||||||
| 7497 | if (auto *PredInst = dyn_cast<Instruction>(Op)) | ||||||||
| 7498 | if (PredInst2Recipe.find(PredInst) != PredInst2Recipe.end()) | ||||||||
| 7499 | PredInst2Recipe[PredInst]->setAlsoPack(false); | ||||||||
| 7500 | |||||||||
| 7501 | // Finalize the recipe for Instr, first if it is not predicated. | ||||||||
| 7502 | if (!IsPredicated) { | ||||||||
| 7503 | LLVM_DEBUG(dbgs() << "LV: Scalarizing:" << *I << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Scalarizing:" << *I << "\n"; } } while (false); | ||||||||
| 7504 | VPBB->appendRecipe(Recipe); | ||||||||
| 7505 | return VPBB; | ||||||||
| 7506 | } | ||||||||
| 7507 | LLVM_DEBUG(dbgs() << "LV: Scalarizing and predicating:" << *I << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Scalarizing and predicating:" << *I << "\n"; } } while (false); | ||||||||
| 7508 | assert(VPBB->getSuccessors().empty() &&((VPBB->getSuccessors().empty() && "VPBB has successors when handling predicated replication." ) ? static_cast<void> (0) : __assert_fail ("VPBB->getSuccessors().empty() && \"VPBB has successors when handling predicated replication.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7509, __PRETTY_FUNCTION__)) | ||||||||
| 7509 | "VPBB has successors when handling predicated replication.")((VPBB->getSuccessors().empty() && "VPBB has successors when handling predicated replication." ) ? static_cast<void> (0) : __assert_fail ("VPBB->getSuccessors().empty() && \"VPBB has successors when handling predicated replication.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7509, __PRETTY_FUNCTION__)); | ||||||||
| 7510 | // Record predicated instructions for above packing optimizations. | ||||||||
| 7511 | PredInst2Recipe[I] = Recipe; | ||||||||
| 7512 | VPBlockBase *Region = createReplicateRegion(I, Recipe, Plan); | ||||||||
| 7513 | VPBlockUtils::insertBlockAfter(Region, VPBB); | ||||||||
| 7514 | auto *RegSucc = new VPBasicBlock(); | ||||||||
| 7515 | VPBlockUtils::insertBlockAfter(RegSucc, Region); | ||||||||
| 7516 | return RegSucc; | ||||||||
| 7517 | } | ||||||||
| 7518 | |||||||||
| 7519 | VPRegionBlock *VPRecipeBuilder::createReplicateRegion(Instruction *Instr, | ||||||||
| 7520 | VPRecipeBase *PredRecipe, | ||||||||
| 7521 | VPlanPtr &Plan) { | ||||||||
| 7522 | // Instructions marked for predication are replicated and placed under an | ||||||||
| 7523 | // if-then construct to prevent side-effects. | ||||||||
| 7524 | |||||||||
| 7525 | // Generate recipes to compute the block mask for this region. | ||||||||
| 7526 | VPValue *BlockInMask = createBlockInMask(Instr->getParent(), Plan); | ||||||||
| |||||||||
| 7527 | |||||||||
| 7528 | // Build the triangular if-then region. | ||||||||
| 7529 | std::string RegionName = (Twine("pred.") + Instr->getOpcodeName()).str(); | ||||||||
| 7530 | assert(Instr->getParent() && "Predicated instruction not in any basic block")((Instr->getParent() && "Predicated instruction not in any basic block" ) ? static_cast<void> (0) : __assert_fail ("Instr->getParent() && \"Predicated instruction not in any basic block\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7530, __PRETTY_FUNCTION__)); | ||||||||
| 7531 | auto *BOMRecipe = new VPBranchOnMaskRecipe(BlockInMask); | ||||||||
| 7532 | auto *Entry = new VPBasicBlock(Twine(RegionName) + ".entry", BOMRecipe); | ||||||||
| 7533 | auto *PHIRecipe = | ||||||||
| 7534 | Instr->getType()->isVoidTy() ? nullptr : new VPPredInstPHIRecipe(Instr); | ||||||||
| 7535 | auto *Exit = new VPBasicBlock(Twine(RegionName) + ".continue", PHIRecipe); | ||||||||
| 7536 | auto *Pred = new VPBasicBlock(Twine(RegionName) + ".if", PredRecipe); | ||||||||
| 7537 | VPRegionBlock *Region = new VPRegionBlock(Entry, Exit, RegionName, true); | ||||||||
| 7538 | |||||||||
| 7539 | // Note: first set Entry as region entry and then connect successors starting | ||||||||
| 7540 | // from it in order, to propagate the "parent" of each VPBasicBlock. | ||||||||
| 7541 | VPBlockUtils::insertTwoBlocksAfter(Pred, Exit, BlockInMask, Entry); | ||||||||
| 7542 | VPBlockUtils::connectBlocks(Pred, Exit); | ||||||||
| 7543 | |||||||||
| 7544 | return Region; | ||||||||
| 7545 | } | ||||||||
| 7546 | |||||||||
| 7547 | VPRecipeBase *VPRecipeBuilder::tryToCreateWidenRecipe(Instruction *Instr, | ||||||||
| 7548 | VFRange &Range, | ||||||||
| 7549 | VPlanPtr &Plan) { | ||||||||
| 7550 | // First, check for specific widening recipes that deal with calls, memory | ||||||||
| 7551 | // operations, inductions and Phi nodes. | ||||||||
| 7552 | if (auto *CI = dyn_cast<CallInst>(Instr)) | ||||||||
| 7553 | return tryToWidenCall(CI, Range, *Plan); | ||||||||
| 7554 | |||||||||
| 7555 | if (isa<LoadInst>(Instr) || isa<StoreInst>(Instr)) | ||||||||
| 7556 | return tryToWidenMemory(Instr, Range, Plan); | ||||||||
| 7557 | |||||||||
| 7558 | VPRecipeBase *Recipe; | ||||||||
| 7559 | if (auto Phi = dyn_cast<PHINode>(Instr)) { | ||||||||
| 7560 | if (Phi->getParent() != OrigLoop->getHeader()) | ||||||||
| 7561 | return tryToBlend(Phi, Plan); | ||||||||
| 7562 | if ((Recipe = tryToOptimizeInductionPHI(Phi))) | ||||||||
| 7563 | return Recipe; | ||||||||
| 7564 | return new VPWidenPHIRecipe(Phi); | ||||||||
| 7565 | } | ||||||||
| 7566 | |||||||||
| 7567 | if (isa<TruncInst>(Instr) && | ||||||||
| 7568 | (Recipe = tryToOptimizeInductionTruncate(cast<TruncInst>(Instr), Range))) | ||||||||
| 7569 | return Recipe; | ||||||||
| 7570 | |||||||||
| 7571 | if (!shouldWiden(Instr, Range)) | ||||||||
| 7572 | return nullptr; | ||||||||
| 7573 | |||||||||
| 7574 | if (auto GEP = dyn_cast<GetElementPtrInst>(Instr)) | ||||||||
| 7575 | return new VPWidenGEPRecipe(GEP, Plan->mapToVPValues(GEP->operands()), | ||||||||
| 7576 | OrigLoop); | ||||||||
| 7577 | |||||||||
| 7578 | if (auto *SI = dyn_cast<SelectInst>(Instr)) { | ||||||||
| 7579 | bool InvariantCond = | ||||||||
| 7580 | PSE.getSE()->isLoopInvariant(PSE.getSCEV(SI->getOperand(0)), OrigLoop); | ||||||||
| 7581 | return new VPWidenSelectRecipe(*SI, Plan->mapToVPValues(SI->operands()), | ||||||||
| 7582 | InvariantCond); | ||||||||
| 7583 | } | ||||||||
| 7584 | |||||||||
| 7585 | return tryToWiden(Instr, *Plan); | ||||||||
| 7586 | } | ||||||||
| 7587 | |||||||||
| 7588 | void LoopVectorizationPlanner::buildVPlansWithVPRecipes(unsigned MinVF, | ||||||||
| 7589 | unsigned MaxVF) { | ||||||||
| 7590 | assert(OrigLoop->isInnermost() && "Inner loop expected.")((OrigLoop->isInnermost() && "Inner loop expected." ) ? static_cast<void> (0) : __assert_fail ("OrigLoop->isInnermost() && \"Inner loop expected.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7590, __PRETTY_FUNCTION__)); | ||||||||
| 7591 | |||||||||
| 7592 | // Collect conditions feeding internal conditional branches; they need to be | ||||||||
| 7593 | // represented in VPlan for it to model masking. | ||||||||
| 7594 | SmallPtrSet<Value *, 1> NeedDef; | ||||||||
| 7595 | |||||||||
| 7596 | auto *Latch = OrigLoop->getLoopLatch(); | ||||||||
| 7597 | for (BasicBlock *BB : OrigLoop->blocks()) { | ||||||||
| 7598 | if (BB == Latch) | ||||||||
| 7599 | continue; | ||||||||
| 7600 | BranchInst *Branch = dyn_cast<BranchInst>(BB->getTerminator()); | ||||||||
| 7601 | if (Branch && Branch->isConditional()) | ||||||||
| 7602 | NeedDef.insert(Branch->getCondition()); | ||||||||
| 7603 | } | ||||||||
| 7604 | |||||||||
| 7605 | // If the tail is to be folded by masking, the primary induction variable, if | ||||||||
| 7606 | // exists needs to be represented in VPlan for it to model early-exit masking. | ||||||||
| 7607 | // Also, both the Phi and the live-out instruction of each reduction are | ||||||||
| 7608 | // required in order to introduce a select between them in VPlan. | ||||||||
| 7609 | if (CM.foldTailByMasking()) { | ||||||||
| 7610 | if (Legal->getPrimaryInduction()) | ||||||||
| 7611 | NeedDef.insert(Legal->getPrimaryInduction()); | ||||||||
| 7612 | for (auto &Reduction : Legal->getReductionVars()) { | ||||||||
| 7613 | NeedDef.insert(Reduction.first); | ||||||||
| 7614 | NeedDef.insert(Reduction.second.getLoopExitInstr()); | ||||||||
| 7615 | } | ||||||||
| 7616 | } | ||||||||
| 7617 | |||||||||
| 7618 | // Collect instructions from the original loop that will become trivially dead | ||||||||
| 7619 | // in the vectorized loop. We don't need to vectorize these instructions. For | ||||||||
| 7620 | // example, original induction update instructions can become dead because we | ||||||||
| 7621 | // separately emit induction "steps" when generating code for the new loop. | ||||||||
| 7622 | // Similarly, we create a new latch condition when setting up the structure | ||||||||
| 7623 | // of the new loop, so the old one can become dead. | ||||||||
| 7624 | SmallPtrSet<Instruction *, 4> DeadInstructions; | ||||||||
| 7625 | collectTriviallyDeadInstructions(DeadInstructions); | ||||||||
| 7626 | |||||||||
| 7627 | // Add assume instructions we need to drop to DeadInstructions, to prevent | ||||||||
| 7628 | // them from being added to the VPlan. | ||||||||
| 7629 | // TODO: We only need to drop assumes in blocks that get flattend. If the | ||||||||
| 7630 | // control flow is preserved, we should keep them. | ||||||||
| 7631 | auto &ConditionalAssumes = Legal->getConditionalAssumes(); | ||||||||
| 7632 | DeadInstructions.insert(ConditionalAssumes.begin(), ConditionalAssumes.end()); | ||||||||
| 7633 | |||||||||
| 7634 | DenseMap<Instruction *, Instruction *> &SinkAfter = Legal->getSinkAfter(); | ||||||||
| 7635 | // Dead instructions do not need sinking. Remove them from SinkAfter. | ||||||||
| 7636 | for (Instruction *I : DeadInstructions) | ||||||||
| 7637 | SinkAfter.erase(I); | ||||||||
| 7638 | |||||||||
| 7639 | for (unsigned VF = MinVF; VF < MaxVF + 1;) { | ||||||||
| 7640 | VFRange SubRange = {VF, MaxVF + 1}; | ||||||||
| 7641 | VPlans.push_back(buildVPlanWithVPRecipes(SubRange, NeedDef, | ||||||||
| 7642 | DeadInstructions, SinkAfter)); | ||||||||
| 7643 | VF = SubRange.End; | ||||||||
| 7644 | } | ||||||||
| 7645 | } | ||||||||
| 7646 | |||||||||
| 7647 | VPlanPtr LoopVectorizationPlanner::buildVPlanWithVPRecipes( | ||||||||
| 7648 | VFRange &Range, SmallPtrSetImpl<Value *> &NeedDef, | ||||||||
| 7649 | SmallPtrSetImpl<Instruction *> &DeadInstructions, | ||||||||
| 7650 | const DenseMap<Instruction *, Instruction *> &SinkAfter) { | ||||||||
| 7651 | |||||||||
| 7652 | // Hold a mapping from predicated instructions to their recipes, in order to | ||||||||
| 7653 | // fix their AlsoPack behavior if a user is determined to replicate and use a | ||||||||
| 7654 | // scalar instead of vector value. | ||||||||
| 7655 | DenseMap<Instruction *, VPReplicateRecipe *> PredInst2Recipe; | ||||||||
| 7656 | |||||||||
| 7657 | SmallPtrSet<const InterleaveGroup<Instruction> *, 1> InterleaveGroups; | ||||||||
| 7658 | |||||||||
| 7659 | VPRecipeBuilder RecipeBuilder(OrigLoop, TLI, Legal, CM, PSE, Builder); | ||||||||
| 7660 | |||||||||
| 7661 | // --------------------------------------------------------------------------- | ||||||||
| 7662 | // Pre-construction: record ingredients whose recipes we'll need to further | ||||||||
| 7663 | // process after constructing the initial VPlan. | ||||||||
| 7664 | // --------------------------------------------------------------------------- | ||||||||
| 7665 | |||||||||
| 7666 | // Mark instructions we'll need to sink later and their targets as | ||||||||
| 7667 | // ingredients whose recipe we'll need to record. | ||||||||
| 7668 | for (auto &Entry : SinkAfter) { | ||||||||
| 7669 | RecipeBuilder.recordRecipeOf(Entry.first); | ||||||||
| 7670 | RecipeBuilder.recordRecipeOf(Entry.second); | ||||||||
| 7671 | } | ||||||||
| 7672 | for (auto &Reduction : CM.getInLoopReductionChains()) { | ||||||||
| 7673 | PHINode *Phi = Reduction.first; | ||||||||
| 7674 | RecurrenceDescriptor::RecurrenceKind Kind = | ||||||||
| 7675 | Legal->getReductionVars()[Phi].getRecurrenceKind(); | ||||||||
| 7676 | const SmallVector<Instruction *, 4> &ReductionOperations = Reduction.second; | ||||||||
| 7677 | |||||||||
| 7678 | RecipeBuilder.recordRecipeOf(Phi); | ||||||||
| 7679 | for (auto &R : ReductionOperations) { | ||||||||
| 7680 | RecipeBuilder.recordRecipeOf(R); | ||||||||
| 7681 | // For min/max reducitons, where we have a pair of icmp/select, we also | ||||||||
| 7682 | // need to record the ICmp recipe, so it can be removed later. | ||||||||
| 7683 | if (Kind == RecurrenceDescriptor::RK_IntegerMinMax || | ||||||||
| 7684 | Kind == RecurrenceDescriptor::RK_FloatMinMax) { | ||||||||
| 7685 | RecipeBuilder.recordRecipeOf(cast<Instruction>(R->getOperand(0))); | ||||||||
| 7686 | } | ||||||||
| 7687 | } | ||||||||
| 7688 | } | ||||||||
| 7689 | |||||||||
| 7690 | // For each interleave group which is relevant for this (possibly trimmed) | ||||||||
| 7691 | // Range, add it to the set of groups to be later applied to the VPlan and add | ||||||||
| 7692 | // placeholders for its members' Recipes which we'll be replacing with a | ||||||||
| 7693 | // single VPInterleaveRecipe. | ||||||||
| 7694 | for (InterleaveGroup<Instruction> *IG : IAI.getInterleaveGroups()) { | ||||||||
| 7695 | auto applyIG = [IG, this](ElementCount VF) -> bool { | ||||||||
| 7696 | return (VF.isVector() && // Query is illegal for VF == 1 | ||||||||
| 7697 | CM.getWideningDecision(IG->getInsertPos(), VF) == | ||||||||
| 7698 | LoopVectorizationCostModel::CM_Interleave); | ||||||||
| 7699 | }; | ||||||||
| 7700 | if (!getDecisionAndClampRange(applyIG, Range)) | ||||||||
| 7701 | continue; | ||||||||
| 7702 | InterleaveGroups.insert(IG); | ||||||||
| 7703 | for (unsigned i = 0; i < IG->getFactor(); i++) | ||||||||
| 7704 | if (Instruction *Member = IG->getMember(i)) | ||||||||
| 7705 | RecipeBuilder.recordRecipeOf(Member); | ||||||||
| 7706 | }; | ||||||||
| 7707 | |||||||||
| 7708 | // --------------------------------------------------------------------------- | ||||||||
| 7709 | // Build initial VPlan: Scan the body of the loop in a topological order to | ||||||||
| 7710 | // visit each basic block after having visited its predecessor basic blocks. | ||||||||
| 7711 | // --------------------------------------------------------------------------- | ||||||||
| 7712 | |||||||||
| 7713 | // Create a dummy pre-entry VPBasicBlock to start building the VPlan. | ||||||||
| 7714 | auto Plan = std::make_unique<VPlan>(); | ||||||||
| 7715 | VPBasicBlock *VPBB = new VPBasicBlock("Pre-Entry"); | ||||||||
| 7716 | Plan->setEntry(VPBB); | ||||||||
| 7717 | |||||||||
| 7718 | // Represent values that will have defs inside VPlan. | ||||||||
| 7719 | for (Value *V : NeedDef) | ||||||||
| 7720 | Plan->addVPValue(V); | ||||||||
| 7721 | |||||||||
| 7722 | // Scan the body of the loop in a topological order to visit each basic block | ||||||||
| 7723 | // after having visited its predecessor basic blocks. | ||||||||
| 7724 | LoopBlocksDFS DFS(OrigLoop); | ||||||||
| 7725 | DFS.perform(LI); | ||||||||
| 7726 | |||||||||
| 7727 | for (BasicBlock *BB : make_range(DFS.beginRPO(), DFS.endRPO())) { | ||||||||
| 7728 | // Relevant instructions from basic block BB will be grouped into VPRecipe | ||||||||
| 7729 | // ingredients and fill a new VPBasicBlock. | ||||||||
| 7730 | unsigned VPBBsForBB = 0; | ||||||||
| 7731 | auto *FirstVPBBForBB = new VPBasicBlock(BB->getName()); | ||||||||
| 7732 | VPBlockUtils::insertBlockAfter(FirstVPBBForBB, VPBB); | ||||||||
| 7733 | VPBB = FirstVPBBForBB; | ||||||||
| 7734 | Builder.setInsertPoint(VPBB); | ||||||||
| 7735 | |||||||||
| 7736 | // Introduce each ingredient into VPlan. | ||||||||
| 7737 | // TODO: Model and preserve debug instrinsics in VPlan. | ||||||||
| 7738 | for (Instruction &I : BB->instructionsWithoutDebug()) { | ||||||||
| 7739 | Instruction *Instr = &I; | ||||||||
| 7740 | |||||||||
| 7741 | // First filter out irrelevant instructions, to ensure no recipes are | ||||||||
| 7742 | // built for them. | ||||||||
| 7743 | if (isa<BranchInst>(Instr) || DeadInstructions.count(Instr)) | ||||||||
| 7744 | continue; | ||||||||
| 7745 | |||||||||
| 7746 | if (auto Recipe = | ||||||||
| 7747 | RecipeBuilder.tryToCreateWidenRecipe(Instr, Range, Plan)) { | ||||||||
| 7748 | RecipeBuilder.setRecipe(Instr, Recipe); | ||||||||
| 7749 | VPBB->appendRecipe(Recipe); | ||||||||
| 7750 | continue; | ||||||||
| 7751 | } | ||||||||
| 7752 | |||||||||
| 7753 | // Otherwise, if all widening options failed, Instruction is to be | ||||||||
| 7754 | // replicated. This may create a successor for VPBB. | ||||||||
| 7755 | VPBasicBlock *NextVPBB = RecipeBuilder.handleReplication( | ||||||||
| 7756 | Instr, Range, VPBB, PredInst2Recipe, Plan); | ||||||||
| 7757 | if (NextVPBB != VPBB) { | ||||||||
| 7758 | VPBB = NextVPBB; | ||||||||
| 7759 | VPBB->setName(BB->hasName() ? BB->getName() + "." + Twine(VPBBsForBB++) | ||||||||
| 7760 | : ""); | ||||||||
| 7761 | } | ||||||||
| 7762 | } | ||||||||
| 7763 | } | ||||||||
| 7764 | |||||||||
| 7765 | // Discard empty dummy pre-entry VPBasicBlock. Note that other VPBasicBlocks | ||||||||
| 7766 | // may also be empty, such as the last one VPBB, reflecting original | ||||||||
| 7767 | // basic-blocks with no recipes. | ||||||||
| 7768 | VPBasicBlock *PreEntry = cast<VPBasicBlock>(Plan->getEntry()); | ||||||||
| 7769 | assert(PreEntry->empty() && "Expecting empty pre-entry block.")((PreEntry->empty() && "Expecting empty pre-entry block." ) ? static_cast<void> (0) : __assert_fail ("PreEntry->empty() && \"Expecting empty pre-entry block.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7769, __PRETTY_FUNCTION__)); | ||||||||
| 7770 | VPBlockBase *Entry = Plan->setEntry(PreEntry->getSingleSuccessor()); | ||||||||
| 7771 | VPBlockUtils::disconnectBlocks(PreEntry, Entry); | ||||||||
| 7772 | delete PreEntry; | ||||||||
| 7773 | |||||||||
| 7774 | // --------------------------------------------------------------------------- | ||||||||
| 7775 | // Transform initial VPlan: Apply previously taken decisions, in order, to | ||||||||
| 7776 | // bring the VPlan to its final state. | ||||||||
| 7777 | // --------------------------------------------------------------------------- | ||||||||
| 7778 | |||||||||
| 7779 | // Apply Sink-After legal constraints. | ||||||||
| 7780 | for (auto &Entry : SinkAfter) { | ||||||||
| 7781 | VPRecipeBase *Sink = RecipeBuilder.getRecipe(Entry.first); | ||||||||
| 7782 | VPRecipeBase *Target = RecipeBuilder.getRecipe(Entry.second); | ||||||||
| 7783 | Sink->moveAfter(Target); | ||||||||
| 7784 | } | ||||||||
| 7785 | |||||||||
| 7786 | // Interleave memory: for each Interleave Group we marked earlier as relevant | ||||||||
| 7787 | // for this VPlan, replace the Recipes widening its memory instructions with a | ||||||||
| 7788 | // single VPInterleaveRecipe at its insertion point. | ||||||||
| 7789 | for (auto IG : InterleaveGroups) { | ||||||||
| 7790 | auto *Recipe = cast<VPWidenMemoryInstructionRecipe>( | ||||||||
| 7791 | RecipeBuilder.getRecipe(IG->getInsertPos())); | ||||||||
| 7792 | (new VPInterleaveRecipe(IG, Recipe->getAddr(), Recipe->getMask())) | ||||||||
| 7793 | ->insertBefore(Recipe); | ||||||||
| 7794 | |||||||||
| 7795 | for (unsigned i = 0; i < IG->getFactor(); ++i) | ||||||||
| 7796 | if (Instruction *Member = IG->getMember(i)) { | ||||||||
| 7797 | RecipeBuilder.getRecipe(Member)->eraseFromParent(); | ||||||||
| 7798 | } | ||||||||
| 7799 | } | ||||||||
| 7800 | |||||||||
| 7801 | // Adjust the recipes for any inloop reductions. | ||||||||
| 7802 | if (Range.Start > 1) | ||||||||
| 7803 | adjustRecipesForInLoopReductions(Plan, RecipeBuilder); | ||||||||
| 7804 | |||||||||
| 7805 | // Finally, if tail is folded by masking, introduce selects between the phi | ||||||||
| 7806 | // and the live-out instruction of each reduction, at the end of the latch. | ||||||||
| 7807 | if (CM.foldTailByMasking() && !Legal->getReductionVars().empty()) { | ||||||||
| 7808 | Builder.setInsertPoint(VPBB); | ||||||||
| 7809 | auto *Cond = RecipeBuilder.createBlockInMask(OrigLoop->getHeader(), Plan); | ||||||||
| 7810 | for (auto &Reduction : Legal->getReductionVars()) { | ||||||||
| 7811 | assert(!CM.isInLoopReduction(Reduction.first) &&((!CM.isInLoopReduction(Reduction.first) && "Didn't expect inloop tail folded reduction yet!" ) ? static_cast<void> (0) : __assert_fail ("!CM.isInLoopReduction(Reduction.first) && \"Didn't expect inloop tail folded reduction yet!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7812, __PRETTY_FUNCTION__)) | ||||||||
| 7812 | "Didn't expect inloop tail folded reduction yet!")((!CM.isInLoopReduction(Reduction.first) && "Didn't expect inloop tail folded reduction yet!" ) ? static_cast<void> (0) : __assert_fail ("!CM.isInLoopReduction(Reduction.first) && \"Didn't expect inloop tail folded reduction yet!\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7812, __PRETTY_FUNCTION__)); | ||||||||
| 7813 | VPValue *Phi = Plan->getVPValue(Reduction.first); | ||||||||
| 7814 | VPValue *Red = Plan->getVPValue(Reduction.second.getLoopExitInstr()); | ||||||||
| 7815 | Builder.createNaryOp(Instruction::Select, {Cond, Red, Phi}); | ||||||||
| 7816 | } | ||||||||
| 7817 | } | ||||||||
| 7818 | |||||||||
| 7819 | std::string PlanName; | ||||||||
| 7820 | raw_string_ostream RSO(PlanName); | ||||||||
| 7821 | ElementCount VF = ElementCount::getFixed(Range.Start); | ||||||||
| 7822 | Plan->addVF(VF); | ||||||||
| 7823 | RSO << "Initial VPlan for VF={" << VF; | ||||||||
| 7824 | for (VF *= 2; VF.getKnownMinValue() < Range.End; VF *= 2) { | ||||||||
| 7825 | Plan->addVF(VF); | ||||||||
| 7826 | RSO << "," << VF; | ||||||||
| 7827 | } | ||||||||
| 7828 | RSO << "},UF>=1"; | ||||||||
| 7829 | RSO.flush(); | ||||||||
| 7830 | Plan->setName(PlanName); | ||||||||
| 7831 | |||||||||
| 7832 | return Plan; | ||||||||
| 7833 | } | ||||||||
| 7834 | |||||||||
| 7835 | VPlanPtr LoopVectorizationPlanner::buildVPlan(VFRange &Range) { | ||||||||
| 7836 | // Outer loop handling: They may require CFG and instruction level | ||||||||
| 7837 | // transformations before even evaluating whether vectorization is profitable. | ||||||||
| 7838 | // Since we cannot modify the incoming IR, we need to build VPlan upfront in | ||||||||
| 7839 | // the vectorization pipeline. | ||||||||
| 7840 | assert(!OrigLoop->isInnermost())((!OrigLoop->isInnermost()) ? static_cast<void> (0) : __assert_fail ("!OrigLoop->isInnermost()", "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7840, __PRETTY_FUNCTION__)); | ||||||||
| 7841 | assert(EnableVPlanNativePath && "VPlan-native path is not enabled.")((EnableVPlanNativePath && "VPlan-native path is not enabled." ) ? static_cast<void> (0) : __assert_fail ("EnableVPlanNativePath && \"VPlan-native path is not enabled.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7841, __PRETTY_FUNCTION__)); | ||||||||
| 7842 | |||||||||
| 7843 | // Create new empty VPlan | ||||||||
| 7844 | auto Plan = std::make_unique<VPlan>(); | ||||||||
| 7845 | |||||||||
| 7846 | // Build hierarchical CFG | ||||||||
| 7847 | VPlanHCFGBuilder HCFGBuilder(OrigLoop, LI, *Plan); | ||||||||
| 7848 | HCFGBuilder.buildHierarchicalCFG(); | ||||||||
| 7849 | |||||||||
| 7850 | for (unsigned VF = Range.Start; VF < Range.End; VF *= 2) | ||||||||
| 7851 | Plan->addVF(ElementCount::getFixed(VF)); | ||||||||
| 7852 | |||||||||
| 7853 | if (EnableVPlanPredication) { | ||||||||
| 7854 | VPlanPredicator VPP(*Plan); | ||||||||
| 7855 | VPP.predicate(); | ||||||||
| 7856 | |||||||||
| 7857 | // Avoid running transformation to recipes until masked code generation in | ||||||||
| 7858 | // VPlan-native path is in place. | ||||||||
| 7859 | return Plan; | ||||||||
| 7860 | } | ||||||||
| 7861 | |||||||||
| 7862 | SmallPtrSet<Instruction *, 1> DeadInstructions; | ||||||||
| 7863 | VPlanTransforms::VPInstructionsToVPRecipes( | ||||||||
| 7864 | OrigLoop, Plan, Legal->getInductionVars(), DeadInstructions); | ||||||||
| 7865 | return Plan; | ||||||||
| 7866 | } | ||||||||
| 7867 | |||||||||
| 7868 | // Adjust the recipes for any inloop reductions. The chain of instructions | ||||||||
| 7869 | // leading from the loop exit instr to the phi need to be converted to | ||||||||
| 7870 | // reductions, with one operand being vector and the other being the scalar | ||||||||
| 7871 | // reduction chain. | ||||||||
| 7872 | void LoopVectorizationPlanner::adjustRecipesForInLoopReductions( | ||||||||
| 7873 | VPlanPtr &Plan, VPRecipeBuilder &RecipeBuilder) { | ||||||||
| 7874 | for (auto &Reduction : CM.getInLoopReductionChains()) { | ||||||||
| 7875 | PHINode *Phi = Reduction.first; | ||||||||
| 7876 | RecurrenceDescriptor &RdxDesc = Legal->getReductionVars()[Phi]; | ||||||||
| 7877 | const SmallVector<Instruction *, 4> &ReductionOperations = Reduction.second; | ||||||||
| 7878 | |||||||||
| 7879 | // ReductionOperations are orders top-down from the phi's use to the | ||||||||
| 7880 | // LoopExitValue. We keep a track of the previous item (the Chain) to tell | ||||||||
| 7881 | // which of the two operands will remain scalar and which will be reduced. | ||||||||
| 7882 | // For minmax the chain will be the select instructions. | ||||||||
| 7883 | Instruction *Chain = Phi; | ||||||||
| 7884 | for (Instruction *R : ReductionOperations) { | ||||||||
| 7885 | VPRecipeBase *WidenRecipe = RecipeBuilder.getRecipe(R); | ||||||||
| 7886 | RecurrenceDescriptor::RecurrenceKind Kind = RdxDesc.getRecurrenceKind(); | ||||||||
| 7887 | |||||||||
| 7888 | VPValue *ChainOp = Plan->getVPValue(Chain); | ||||||||
| 7889 | unsigned FirstOpId; | ||||||||
| 7890 | if (Kind == RecurrenceDescriptor::RK_IntegerMinMax || | ||||||||
| 7891 | Kind == RecurrenceDescriptor::RK_FloatMinMax) { | ||||||||
| 7892 | assert(WidenRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSelectSC &&((WidenRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSelectSC && "Expected to replace a VPWidenSelectSC") ? static_cast <void> (0) : __assert_fail ("WidenRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSelectSC && \"Expected to replace a VPWidenSelectSC\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7893, __PRETTY_FUNCTION__)) | ||||||||
| 7893 | "Expected to replace a VPWidenSelectSC")((WidenRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSelectSC && "Expected to replace a VPWidenSelectSC") ? static_cast <void> (0) : __assert_fail ("WidenRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSelectSC && \"Expected to replace a VPWidenSelectSC\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7893, __PRETTY_FUNCTION__)); | ||||||||
| 7894 | FirstOpId = 1; | ||||||||
| 7895 | } else { | ||||||||
| 7896 | assert(WidenRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSC &&((WidenRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSC && "Expected to replace a VPWidenSC") ? static_cast<void> (0) : __assert_fail ("WidenRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSC && \"Expected to replace a VPWidenSC\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7897, __PRETTY_FUNCTION__)) | ||||||||
| 7897 | "Expected to replace a VPWidenSC")((WidenRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSC && "Expected to replace a VPWidenSC") ? static_cast<void> (0) : __assert_fail ("WidenRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSC && \"Expected to replace a VPWidenSC\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7897, __PRETTY_FUNCTION__)); | ||||||||
| 7898 | FirstOpId = 0; | ||||||||
| 7899 | } | ||||||||
| 7900 | unsigned VecOpId = | ||||||||
| 7901 | R->getOperand(FirstOpId) == Chain ? FirstOpId + 1 : FirstOpId; | ||||||||
| 7902 | VPValue *VecOp = Plan->getVPValue(R->getOperand(VecOpId)); | ||||||||
| 7903 | |||||||||
| 7904 | VPReductionRecipe *RedRecipe = new VPReductionRecipe( | ||||||||
| 7905 | &RdxDesc, R, ChainOp, VecOp, Legal->hasFunNoNaNAttr(), TTI); | ||||||||
| 7906 | WidenRecipe->getParent()->insert(RedRecipe, WidenRecipe->getIterator()); | ||||||||
| 7907 | WidenRecipe->eraseFromParent(); | ||||||||
| 7908 | |||||||||
| 7909 | if (Kind == RecurrenceDescriptor::RK_IntegerMinMax || | ||||||||
| 7910 | Kind == RecurrenceDescriptor::RK_FloatMinMax) { | ||||||||
| 7911 | VPRecipeBase *CompareRecipe = | ||||||||
| 7912 | RecipeBuilder.getRecipe(cast<Instruction>(R->getOperand(0))); | ||||||||
| 7913 | assert(CompareRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSC &&((CompareRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSC && "Expected to replace a VPWidenSC") ? static_cast< void> (0) : __assert_fail ("CompareRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSC && \"Expected to replace a VPWidenSC\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7914, __PRETTY_FUNCTION__)) | ||||||||
| 7914 | "Expected to replace a VPWidenSC")((CompareRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSC && "Expected to replace a VPWidenSC") ? static_cast< void> (0) : __assert_fail ("CompareRecipe->getVPRecipeID() == VPRecipeBase::VPWidenSC && \"Expected to replace a VPWidenSC\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7914, __PRETTY_FUNCTION__)); | ||||||||
| 7915 | CompareRecipe->eraseFromParent(); | ||||||||
| 7916 | } | ||||||||
| 7917 | Chain = R; | ||||||||
| 7918 | } | ||||||||
| 7919 | } | ||||||||
| 7920 | } | ||||||||
| 7921 | |||||||||
| 7922 | Value* LoopVectorizationPlanner::VPCallbackILV:: | ||||||||
| 7923 | getOrCreateVectorValues(Value *V, unsigned Part) { | ||||||||
| 7924 | return ILV.getOrCreateVectorValue(V, Part); | ||||||||
| 7925 | } | ||||||||
| 7926 | |||||||||
| 7927 | Value *LoopVectorizationPlanner::VPCallbackILV::getOrCreateScalarValue( | ||||||||
| 7928 | Value *V, const VPIteration &Instance) { | ||||||||
| 7929 | return ILV.getOrCreateScalarValue(V, Instance); | ||||||||
| 7930 | } | ||||||||
| 7931 | |||||||||
| 7932 | void VPInterleaveRecipe::print(raw_ostream &O, const Twine &Indent, | ||||||||
| 7933 | VPSlotTracker &SlotTracker) const { | ||||||||
| 7934 | O << "\"INTERLEAVE-GROUP with factor " << IG->getFactor() << " at "; | ||||||||
| 7935 | IG->getInsertPos()->printAsOperand(O, false); | ||||||||
| 7936 | O << ", "; | ||||||||
| 7937 | getAddr()->printAsOperand(O, SlotTracker); | ||||||||
| 7938 | VPValue *Mask = getMask(); | ||||||||
| 7939 | if (Mask) { | ||||||||
| 7940 | O << ", "; | ||||||||
| 7941 | Mask->printAsOperand(O, SlotTracker); | ||||||||
| 7942 | } | ||||||||
| 7943 | for (unsigned i = 0; i < IG->getFactor(); ++i) | ||||||||
| 7944 | if (Instruction *I = IG->getMember(i)) | ||||||||
| 7945 | O << "\\l\" +\n" << Indent << "\" " << VPlanIngredient(I) << " " << i; | ||||||||
| 7946 | } | ||||||||
| 7947 | |||||||||
| 7948 | void VPWidenCallRecipe::execute(VPTransformState &State) { | ||||||||
| 7949 | State.ILV->widenCallInstruction(Ingredient, User, State); | ||||||||
| 7950 | } | ||||||||
| 7951 | |||||||||
| 7952 | void VPWidenSelectRecipe::execute(VPTransformState &State) { | ||||||||
| 7953 | State.ILV->widenSelectInstruction(Ingredient, User, InvariantCond, State); | ||||||||
| 7954 | } | ||||||||
| 7955 | |||||||||
| 7956 | void VPWidenRecipe::execute(VPTransformState &State) { | ||||||||
| 7957 | State.ILV->widenInstruction(Ingredient, User, State); | ||||||||
| 7958 | } | ||||||||
| 7959 | |||||||||
| 7960 | void VPWidenGEPRecipe::execute(VPTransformState &State) { | ||||||||
| 7961 | State.ILV->widenGEP(GEP, User, State.UF, State.VF, IsPtrLoopInvariant, | ||||||||
| 7962 | IsIndexLoopInvariant, State); | ||||||||
| 7963 | } | ||||||||
| 7964 | |||||||||
| 7965 | void VPWidenIntOrFpInductionRecipe::execute(VPTransformState &State) { | ||||||||
| 7966 | assert(!State.Instance && "Int or FP induction being replicated.")((!State.Instance && "Int or FP induction being replicated." ) ? static_cast<void> (0) : __assert_fail ("!State.Instance && \"Int or FP induction being replicated.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 7966, __PRETTY_FUNCTION__)); | ||||||||
| 7967 | State.ILV->widenIntOrFpInduction(IV, Trunc); | ||||||||
| 7968 | } | ||||||||
| 7969 | |||||||||
| 7970 | void VPWidenPHIRecipe::execute(VPTransformState &State) { | ||||||||
| 7971 | State.ILV->widenPHIInstruction(Phi, State.UF, State.VF); | ||||||||
| 7972 | } | ||||||||
| 7973 | |||||||||
| 7974 | void VPBlendRecipe::execute(VPTransformState &State) { | ||||||||
| 7975 | State.ILV->setDebugLocFromInst(State.Builder, Phi); | ||||||||
| 7976 | // We know that all PHIs in non-header blocks are converted into | ||||||||
| 7977 | // selects, so we don't have to worry about the insertion order and we | ||||||||
| 7978 | // can just use the builder. | ||||||||
| 7979 | // At this point we generate the predication tree. There may be | ||||||||
| 7980 | // duplications since this is a simple recursive scan, but future | ||||||||
| 7981 | // optimizations will clean it up. | ||||||||
| 7982 | |||||||||
| 7983 | unsigned NumIncoming = getNumIncomingValues(); | ||||||||
| 7984 | |||||||||
| 7985 | // Generate a sequence of selects of the form: | ||||||||
| 7986 | // SELECT(Mask3, In3, | ||||||||
| 7987 | // SELECT(Mask2, In2, | ||||||||
| 7988 | // SELECT(Mask1, In1, | ||||||||
| 7989 | // In0))) | ||||||||
| 7990 | // Note that Mask0 is never used: lanes for which no path reaches this phi and | ||||||||
| 7991 | // are essentially undef are taken from In0. | ||||||||
| 7992 | InnerLoopVectorizer::VectorParts Entry(State.UF); | ||||||||
| 7993 | for (unsigned In = 0; In < NumIncoming; ++In) { | ||||||||
| 7994 | for (unsigned Part = 0; Part < State.UF; ++Part) { | ||||||||
| 7995 | // We might have single edge PHIs (blocks) - use an identity | ||||||||
| 7996 | // 'select' for the first PHI operand. | ||||||||
| 7997 | Value *In0 = State.get(getIncomingValue(In), Part); | ||||||||
| 7998 | if (In == 0) | ||||||||
| 7999 | Entry[Part] = In0; // Initialize with the first incoming value. | ||||||||
| 8000 | else { | ||||||||
| 8001 | // Select between the current value and the previous incoming edge | ||||||||
| 8002 | // based on the incoming mask. | ||||||||
| 8003 | Value *Cond = State.get(getMask(In), Part); | ||||||||
| 8004 | Entry[Part] = | ||||||||
| 8005 | State.Builder.CreateSelect(Cond, In0, Entry[Part], "predphi"); | ||||||||
| 8006 | } | ||||||||
| 8007 | } | ||||||||
| 8008 | } | ||||||||
| 8009 | for (unsigned Part = 0; Part < State.UF; ++Part) | ||||||||
| 8010 | State.ValueMap.setVectorValue(Phi, Part, Entry[Part]); | ||||||||
| 8011 | } | ||||||||
| 8012 | |||||||||
| 8013 | void VPInterleaveRecipe::execute(VPTransformState &State) { | ||||||||
| 8014 | assert(!State.Instance && "Interleave group being replicated.")((!State.Instance && "Interleave group being replicated." ) ? static_cast<void> (0) : __assert_fail ("!State.Instance && \"Interleave group being replicated.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8014, __PRETTY_FUNCTION__)); | ||||||||
| 8015 | State.ILV->vectorizeInterleaveGroup(IG, State, getAddr(), getMask()); | ||||||||
| 8016 | } | ||||||||
| 8017 | |||||||||
| 8018 | void VPReductionRecipe::execute(VPTransformState &State) { | ||||||||
| 8019 | assert(!State.Instance && "Reduction being replicated.")((!State.Instance && "Reduction being replicated.") ? static_cast<void> (0) : __assert_fail ("!State.Instance && \"Reduction being replicated.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8019, __PRETTY_FUNCTION__)); | ||||||||
| 8020 | for (unsigned Part = 0; Part < State.UF; ++Part) { | ||||||||
| 8021 | unsigned Kind = RdxDesc->getRecurrenceKind(); | ||||||||
| 8022 | Value *NewVecOp = State.get(VecOp, Part); | ||||||||
| 8023 | Value *NewRed = | ||||||||
| 8024 | createTargetReduction(State.Builder, TTI, *RdxDesc, NewVecOp, NoNaN); | ||||||||
| 8025 | Value *PrevInChain = State.get(ChainOp, Part); | ||||||||
| 8026 | Value *NextInChain; | ||||||||
| 8027 | if (Kind == RecurrenceDescriptor::RK_IntegerMinMax || | ||||||||
| 8028 | Kind == RecurrenceDescriptor::RK_FloatMinMax) { | ||||||||
| 8029 | NextInChain = | ||||||||
| 8030 | createMinMaxOp(State.Builder, RdxDesc->getMinMaxRecurrenceKind(), | ||||||||
| 8031 | NewRed, PrevInChain); | ||||||||
| 8032 | } else { | ||||||||
| 8033 | NextInChain = State.Builder.CreateBinOp( | ||||||||
| 8034 | (Instruction::BinaryOps)I->getOpcode(), NewRed, PrevInChain); | ||||||||
| 8035 | } | ||||||||
| 8036 | State.ValueMap.setVectorValue(I, Part, NextInChain); | ||||||||
| 8037 | } | ||||||||
| 8038 | } | ||||||||
| 8039 | |||||||||
| 8040 | void VPReplicateRecipe::execute(VPTransformState &State) { | ||||||||
| 8041 | if (State.Instance) { // Generate a single instance. | ||||||||
| 8042 | State.ILV->scalarizeInstruction(Ingredient, User, *State.Instance, | ||||||||
| 8043 | IsPredicated, State); | ||||||||
| 8044 | // Insert scalar instance packing it into a vector. | ||||||||
| 8045 | if (AlsoPack && State.VF.isVector()) { | ||||||||
| 8046 | // If we're constructing lane 0, initialize to start from undef. | ||||||||
| 8047 | if (State.Instance->Lane == 0) { | ||||||||
| 8048 | assert(!State.VF.isScalable() && "VF is assumed to be non scalable.")((!State.VF.isScalable() && "VF is assumed to be non scalable." ) ? static_cast<void> (0) : __assert_fail ("!State.VF.isScalable() && \"VF is assumed to be non scalable.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8048, __PRETTY_FUNCTION__)); | ||||||||
| 8049 | Value *Undef = | ||||||||
| 8050 | UndefValue::get(VectorType::get(Ingredient->getType(), State.VF)); | ||||||||
| 8051 | State.ValueMap.setVectorValue(Ingredient, State.Instance->Part, Undef); | ||||||||
| 8052 | } | ||||||||
| 8053 | State.ILV->packScalarIntoVectorValue(Ingredient, *State.Instance); | ||||||||
| 8054 | } | ||||||||
| 8055 | return; | ||||||||
| 8056 | } | ||||||||
| 8057 | |||||||||
| 8058 | // Generate scalar instances for all VF lanes of all UF parts, unless the | ||||||||
| 8059 | // instruction is uniform inwhich case generate only the first lane for each | ||||||||
| 8060 | // of the UF parts. | ||||||||
| 8061 | unsigned EndLane = IsUniform ? 1 : State.VF.getKnownMinValue(); | ||||||||
| 8062 | for (unsigned Part = 0; Part < State.UF; ++Part) | ||||||||
| 8063 | for (unsigned Lane = 0; Lane < EndLane; ++Lane) | ||||||||
| 8064 | State.ILV->scalarizeInstruction(Ingredient, User, {Part, Lane}, | ||||||||
| 8065 | IsPredicated, State); | ||||||||
| 8066 | } | ||||||||
| 8067 | |||||||||
| 8068 | void VPBranchOnMaskRecipe::execute(VPTransformState &State) { | ||||||||
| 8069 | assert(State.Instance && "Branch on Mask works only on single instance.")((State.Instance && "Branch on Mask works only on single instance." ) ? static_cast<void> (0) : __assert_fail ("State.Instance && \"Branch on Mask works only on single instance.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8069, __PRETTY_FUNCTION__)); | ||||||||
| 8070 | |||||||||
| 8071 | unsigned Part = State.Instance->Part; | ||||||||
| 8072 | unsigned Lane = State.Instance->Lane; | ||||||||
| 8073 | |||||||||
| 8074 | Value *ConditionBit = nullptr; | ||||||||
| 8075 | VPValue *BlockInMask = getMask(); | ||||||||
| 8076 | if (BlockInMask) { | ||||||||
| 8077 | ConditionBit = State.get(BlockInMask, Part); | ||||||||
| 8078 | if (ConditionBit->getType()->isVectorTy()) | ||||||||
| 8079 | ConditionBit = State.Builder.CreateExtractElement( | ||||||||
| 8080 | ConditionBit, State.Builder.getInt32(Lane)); | ||||||||
| 8081 | } else // Block in mask is all-one. | ||||||||
| 8082 | ConditionBit = State.Builder.getTrue(); | ||||||||
| 8083 | |||||||||
| 8084 | // Replace the temporary unreachable terminator with a new conditional branch, | ||||||||
| 8085 | // whose two destinations will be set later when they are created. | ||||||||
| 8086 | auto *CurrentTerminator = State.CFG.PrevBB->getTerminator(); | ||||||||
| 8087 | assert(isa<UnreachableInst>(CurrentTerminator) &&((isa<UnreachableInst>(CurrentTerminator) && "Expected to replace unreachable terminator with conditional branch." ) ? static_cast<void> (0) : __assert_fail ("isa<UnreachableInst>(CurrentTerminator) && \"Expected to replace unreachable terminator with conditional branch.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8088, __PRETTY_FUNCTION__)) | ||||||||
| 8088 | "Expected to replace unreachable terminator with conditional branch.")((isa<UnreachableInst>(CurrentTerminator) && "Expected to replace unreachable terminator with conditional branch." ) ? static_cast<void> (0) : __assert_fail ("isa<UnreachableInst>(CurrentTerminator) && \"Expected to replace unreachable terminator with conditional branch.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8088, __PRETTY_FUNCTION__)); | ||||||||
| 8089 | auto *CondBr = BranchInst::Create(State.CFG.PrevBB, nullptr, ConditionBit); | ||||||||
| 8090 | CondBr->setSuccessor(0, nullptr); | ||||||||
| 8091 | ReplaceInstWithInst(CurrentTerminator, CondBr); | ||||||||
| 8092 | } | ||||||||
| 8093 | |||||||||
| 8094 | void VPPredInstPHIRecipe::execute(VPTransformState &State) { | ||||||||
| 8095 | assert(State.Instance && "Predicated instruction PHI works per instance.")((State.Instance && "Predicated instruction PHI works per instance." ) ? static_cast<void> (0) : __assert_fail ("State.Instance && \"Predicated instruction PHI works per instance.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8095, __PRETTY_FUNCTION__)); | ||||||||
| 8096 | Instruction *ScalarPredInst = cast<Instruction>( | ||||||||
| 8097 | State.ValueMap.getScalarValue(PredInst, *State.Instance)); | ||||||||
| 8098 | BasicBlock *PredicatedBB = ScalarPredInst->getParent(); | ||||||||
| 8099 | BasicBlock *PredicatingBB = PredicatedBB->getSinglePredecessor(); | ||||||||
| 8100 | assert(PredicatingBB && "Predicated block has no single predecessor.")((PredicatingBB && "Predicated block has no single predecessor." ) ? static_cast<void> (0) : __assert_fail ("PredicatingBB && \"Predicated block has no single predecessor.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8100, __PRETTY_FUNCTION__)); | ||||||||
| 8101 | |||||||||
| 8102 | // By current pack/unpack logic we need to generate only a single phi node: if | ||||||||
| 8103 | // a vector value for the predicated instruction exists at this point it means | ||||||||
| 8104 | // the instruction has vector users only, and a phi for the vector value is | ||||||||
| 8105 | // needed. In this case the recipe of the predicated instruction is marked to | ||||||||
| 8106 | // also do that packing, thereby "hoisting" the insert-element sequence. | ||||||||
| 8107 | // Otherwise, a phi node for the scalar value is needed. | ||||||||
| 8108 | unsigned Part = State.Instance->Part; | ||||||||
| 8109 | if (State.ValueMap.hasVectorValue(PredInst, Part)) { | ||||||||
| 8110 | Value *VectorValue = State.ValueMap.getVectorValue(PredInst, Part); | ||||||||
| 8111 | InsertElementInst *IEI = cast<InsertElementInst>(VectorValue); | ||||||||
| 8112 | PHINode *VPhi = State.Builder.CreatePHI(IEI->getType(), 2); | ||||||||
| 8113 | VPhi->addIncoming(IEI->getOperand(0), PredicatingBB); // Unmodified vector. | ||||||||
| 8114 | VPhi->addIncoming(IEI, PredicatedBB); // New vector with inserted element. | ||||||||
| 8115 | State.ValueMap.resetVectorValue(PredInst, Part, VPhi); // Update cache. | ||||||||
| 8116 | } else { | ||||||||
| 8117 | Type *PredInstType = PredInst->getType(); | ||||||||
| 8118 | PHINode *Phi = State.Builder.CreatePHI(PredInstType, 2); | ||||||||
| 8119 | Phi->addIncoming(UndefValue::get(ScalarPredInst->getType()), PredicatingBB); | ||||||||
| 8120 | Phi->addIncoming(ScalarPredInst, PredicatedBB); | ||||||||
| 8121 | State.ValueMap.resetScalarValue(PredInst, *State.Instance, Phi); | ||||||||
| 8122 | } | ||||||||
| 8123 | } | ||||||||
| 8124 | |||||||||
| 8125 | void VPWidenMemoryInstructionRecipe::execute(VPTransformState &State) { | ||||||||
| 8126 | VPValue *StoredValue = isa<StoreInst>(Instr) ? getStoredValue() : nullptr; | ||||||||
| 8127 | State.ILV->vectorizeMemoryInstruction(&Instr, State, getAddr(), StoredValue, | ||||||||
| 8128 | getMask()); | ||||||||
| 8129 | } | ||||||||
| 8130 | |||||||||
| 8131 | // Determine how to lower the scalar epilogue, which depends on 1) optimising | ||||||||
| 8132 | // for minimum code-size, 2) predicate compiler options, 3) loop hints forcing | ||||||||
| 8133 | // predication, and 4) a TTI hook that analyses whether the loop is suitable | ||||||||
| 8134 | // for predication. | ||||||||
| 8135 | static ScalarEpilogueLowering getScalarEpilogueLowering( | ||||||||
| 8136 | Function *F, Loop *L, LoopVectorizeHints &Hints, ProfileSummaryInfo *PSI, | ||||||||
| 8137 | BlockFrequencyInfo *BFI, TargetTransformInfo *TTI, TargetLibraryInfo *TLI, | ||||||||
| 8138 | AssumptionCache *AC, LoopInfo *LI, ScalarEvolution *SE, DominatorTree *DT, | ||||||||
| 8139 | LoopVectorizationLegality &LVL) { | ||||||||
| 8140 | // 1) OptSize takes precedence over all other options, i.e. if this is set, | ||||||||
| 8141 | // don't look at hints or options, and don't request a scalar epilogue. | ||||||||
| 8142 | // (For PGSO, as shouldOptimizeForSize isn't currently accessible from | ||||||||
| 8143 | // LoopAccessInfo (due to code dependency and not being able to reliably get | ||||||||
| 8144 | // PSI/BFI from a loop analysis under NPM), we cannot suppress the collection | ||||||||
| 8145 | // of strides in LoopAccessInfo::analyzeLoop() and vectorize without | ||||||||
| 8146 | // versioning when the vectorization is forced, unlike hasOptSize. So revert | ||||||||
| 8147 | // back to the old way and vectorize with versioning when forced. See D81345.) | ||||||||
| 8148 | if (F->hasOptSize() || (llvm::shouldOptimizeForSize(L->getHeader(), PSI, BFI, | ||||||||
| 8149 | PGSOQueryType::IRPass) && | ||||||||
| 8150 | Hints.getForce() != LoopVectorizeHints::FK_Enabled)) | ||||||||
| 8151 | return CM_ScalarEpilogueNotAllowedOptSize; | ||||||||
| 8152 | |||||||||
| 8153 | bool PredicateOptDisabled = PreferPredicateOverEpilogue.getNumOccurrences() && | ||||||||
| 8154 | !PreferPredicateOverEpilogue; | ||||||||
| 8155 | |||||||||
| 8156 | // 2) Next, if disabling predication is requested on the command line, honour | ||||||||
| 8157 | // this and request a scalar epilogue. | ||||||||
| 8158 | if (PredicateOptDisabled) | ||||||||
| 8159 | return CM_ScalarEpilogueAllowed; | ||||||||
| 8160 | |||||||||
| 8161 | // 3) and 4) look if enabling predication is requested on the command line, | ||||||||
| 8162 | // with a loop hint, or if the TTI hook indicates this is profitable, request | ||||||||
| 8163 | // predication. | ||||||||
| 8164 | if (PreferPredicateOverEpilogue || | ||||||||
| 8165 | Hints.getPredicate() == LoopVectorizeHints::FK_Enabled || | ||||||||
| 8166 | (TTI->preferPredicateOverEpilogue(L, LI, *SE, *AC, TLI, DT, | ||||||||
| 8167 | LVL.getLAI()) && | ||||||||
| 8168 | Hints.getPredicate() != LoopVectorizeHints::FK_Disabled)) | ||||||||
| 8169 | return CM_ScalarEpilogueNotNeededUsePredicate; | ||||||||
| 8170 | |||||||||
| 8171 | return CM_ScalarEpilogueAllowed; | ||||||||
| 8172 | } | ||||||||
| 8173 | |||||||||
| 8174 | // Process the loop in the VPlan-native vectorization path. This path builds | ||||||||
| 8175 | // VPlan upfront in the vectorization pipeline, which allows to apply | ||||||||
| 8176 | // VPlan-to-VPlan transformations from the very beginning without modifying the | ||||||||
| 8177 | // input LLVM IR. | ||||||||
| 8178 | static bool processLoopInVPlanNativePath( | ||||||||
| 8179 | Loop *L, PredicatedScalarEvolution &PSE, LoopInfo *LI, DominatorTree *DT, | ||||||||
| 8180 | LoopVectorizationLegality *LVL, TargetTransformInfo *TTI, | ||||||||
| 8181 | TargetLibraryInfo *TLI, DemandedBits *DB, AssumptionCache *AC, | ||||||||
| 8182 | OptimizationRemarkEmitter *ORE, BlockFrequencyInfo *BFI, | ||||||||
| 8183 | ProfileSummaryInfo *PSI, LoopVectorizeHints &Hints) { | ||||||||
| 8184 | |||||||||
| 8185 | if (PSE.getBackedgeTakenCount() == PSE.getSE()->getCouldNotCompute()) { | ||||||||
| 8186 | LLVM_DEBUG(dbgs() << "LV: cannot compute the outer-loop trip count\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: cannot compute the outer-loop trip count\n" ; } } while (false); | ||||||||
| 8187 | return false; | ||||||||
| 8188 | } | ||||||||
| 8189 | assert(EnableVPlanNativePath && "VPlan-native path is disabled.")((EnableVPlanNativePath && "VPlan-native path is disabled." ) ? static_cast<void> (0) : __assert_fail ("EnableVPlanNativePath && \"VPlan-native path is disabled.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8189, __PRETTY_FUNCTION__)); | ||||||||
| 8190 | Function *F = L->getHeader()->getParent(); | ||||||||
| 8191 | InterleavedAccessInfo IAI(PSE, L, DT, LI, LVL->getLAI()); | ||||||||
| 8192 | |||||||||
| 8193 | ScalarEpilogueLowering SEL = getScalarEpilogueLowering( | ||||||||
| 8194 | F, L, Hints, PSI, BFI, TTI, TLI, AC, LI, PSE.getSE(), DT, *LVL); | ||||||||
| 8195 | |||||||||
| 8196 | LoopVectorizationCostModel CM(SEL, L, PSE, LI, LVL, *TTI, TLI, DB, AC, ORE, F, | ||||||||
| 8197 | &Hints, IAI); | ||||||||
| 8198 | // Use the planner for outer loop vectorization. | ||||||||
| 8199 | // TODO: CM is not used at this point inside the planner. Turn CM into an | ||||||||
| 8200 | // optional argument if we don't need it in the future. | ||||||||
| 8201 | LoopVectorizationPlanner LVP(L, LI, TLI, TTI, LVL, CM, IAI, PSE); | ||||||||
| 8202 | |||||||||
| 8203 | // Get user vectorization factor. | ||||||||
| 8204 | const unsigned UserVF = Hints.getWidth(); | ||||||||
| 8205 | |||||||||
| 8206 | // Plan how to best vectorize, return the best VF and its cost. | ||||||||
| 8207 | const VectorizationFactor VF = | ||||||||
| 8208 | LVP.planInVPlanNativePath(ElementCount::getFixed(UserVF)); | ||||||||
| 8209 | |||||||||
| 8210 | // If we are stress testing VPlan builds, do not attempt to generate vector | ||||||||
| 8211 | // code. Masked vector code generation support will follow soon. | ||||||||
| 8212 | // Also, do not attempt to vectorize if no vector code will be produced. | ||||||||
| 8213 | if (VPlanBuildStressTest || EnableVPlanPredication || | ||||||||
| 8214 | VectorizationFactor::Disabled() == VF) | ||||||||
| 8215 | return false; | ||||||||
| 8216 | |||||||||
| 8217 | LVP.setBestPlan(VF.Width, 1); | ||||||||
| 8218 | |||||||||
| 8219 | InnerLoopVectorizer LB(L, PSE, LI, DT, TLI, TTI, AC, ORE, VF.Width, 1, LVL, | ||||||||
| 8220 | &CM, BFI, PSI); | ||||||||
| 8221 | LLVM_DEBUG(dbgs() << "Vectorizing outer loop in \""do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "Vectorizing outer loop in \"" << L->getHeader()->getParent()->getName() << "\"\n"; } } while (false) | ||||||||
| 8222 | << L->getHeader()->getParent()->getName() << "\"\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "Vectorizing outer loop in \"" << L->getHeader()->getParent()->getName() << "\"\n"; } } while (false); | ||||||||
| 8223 | LVP.executePlan(LB, DT); | ||||||||
| 8224 | |||||||||
| 8225 | // Mark the loop as already vectorized to avoid vectorizing again. | ||||||||
| 8226 | Hints.setAlreadyVectorized(); | ||||||||
| 8227 | |||||||||
| 8228 | assert(!verifyFunction(*L->getHeader()->getParent(), &dbgs()))((!verifyFunction(*L->getHeader()->getParent(), &dbgs ())) ? static_cast<void> (0) : __assert_fail ("!verifyFunction(*L->getHeader()->getParent(), &dbgs())" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8228, __PRETTY_FUNCTION__)); | ||||||||
| 8229 | return true; | ||||||||
| 8230 | } | ||||||||
| 8231 | |||||||||
| 8232 | LoopVectorizePass::LoopVectorizePass(LoopVectorizeOptions Opts) | ||||||||
| 8233 | : InterleaveOnlyWhenForced(Opts.InterleaveOnlyWhenForced || | ||||||||
| 8234 | !EnableLoopInterleaving), | ||||||||
| 8235 | VectorizeOnlyWhenForced(Opts.VectorizeOnlyWhenForced || | ||||||||
| 8236 | !EnableLoopVectorization) {} | ||||||||
| 8237 | |||||||||
| 8238 | bool LoopVectorizePass::processLoop(Loop *L) { | ||||||||
| 8239 | assert((EnableVPlanNativePath || L->isInnermost()) &&(((EnableVPlanNativePath || L->isInnermost()) && "VPlan-native path is not enabled. Only process inner loops." ) ? static_cast<void> (0) : __assert_fail ("(EnableVPlanNativePath || L->isInnermost()) && \"VPlan-native path is not enabled. Only process inner loops.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8240, __PRETTY_FUNCTION__)) | ||||||||
| 8240 | "VPlan-native path is not enabled. Only process inner loops.")(((EnableVPlanNativePath || L->isInnermost()) && "VPlan-native path is not enabled. Only process inner loops." ) ? static_cast<void> (0) : __assert_fail ("(EnableVPlanNativePath || L->isInnermost()) && \"VPlan-native path is not enabled. Only process inner loops.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8240, __PRETTY_FUNCTION__)); | ||||||||
| 8241 | |||||||||
| 8242 | #ifndef NDEBUG | ||||||||
| 8243 | const std::string DebugLocStr = getDebugLocString(L); | ||||||||
| 8244 | #endif /* NDEBUG */ | ||||||||
| 8245 | |||||||||
| 8246 | LLVM_DEBUG(dbgs() << "\nLV: Checking a loop in \""do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "\nLV: Checking a loop in \"" << L->getHeader()->getParent()->getName() << "\" from " << DebugLocStr << "\n"; } } while (false ) | ||||||||
| 8247 | << L->getHeader()->getParent()->getName() << "\" from "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "\nLV: Checking a loop in \"" << L->getHeader()->getParent()->getName() << "\" from " << DebugLocStr << "\n"; } } while (false ) | ||||||||
| 8248 | << DebugLocStr << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "\nLV: Checking a loop in \"" << L->getHeader()->getParent()->getName() << "\" from " << DebugLocStr << "\n"; } } while (false ); | ||||||||
| 8249 | |||||||||
| 8250 | LoopVectorizeHints Hints(L, InterleaveOnlyWhenForced, *ORE); | ||||||||
| 8251 | |||||||||
| 8252 | LLVM_DEBUG(do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints:" << " force=" << (Hints.getForce() == LoopVectorizeHints:: FK_Disabled ? "disabled" : (Hints.getForce() == LoopVectorizeHints ::FK_Enabled ? "enabled" : "?")) << " width=" << Hints .getWidth() << " unroll=" << Hints.getInterleave( ) << "\n"; } } while (false) | ||||||||
| 8253 | dbgs() << "LV: Loop hints:"do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints:" << " force=" << (Hints.getForce() == LoopVectorizeHints:: FK_Disabled ? "disabled" : (Hints.getForce() == LoopVectorizeHints ::FK_Enabled ? "enabled" : "?")) << " width=" << Hints .getWidth() << " unroll=" << Hints.getInterleave( ) << "\n"; } } while (false) | ||||||||
| 8254 | << " force="do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints:" << " force=" << (Hints.getForce() == LoopVectorizeHints:: FK_Disabled ? "disabled" : (Hints.getForce() == LoopVectorizeHints ::FK_Enabled ? "enabled" : "?")) << " width=" << Hints .getWidth() << " unroll=" << Hints.getInterleave( ) << "\n"; } } while (false) | ||||||||
| 8255 | << (Hints.getForce() == LoopVectorizeHints::FK_Disableddo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints:" << " force=" << (Hints.getForce() == LoopVectorizeHints:: FK_Disabled ? "disabled" : (Hints.getForce() == LoopVectorizeHints ::FK_Enabled ? "enabled" : "?")) << " width=" << Hints .getWidth() << " unroll=" << Hints.getInterleave( ) << "\n"; } } while (false) | ||||||||
| 8256 | ? "disabled"do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints:" << " force=" << (Hints.getForce() == LoopVectorizeHints:: FK_Disabled ? "disabled" : (Hints.getForce() == LoopVectorizeHints ::FK_Enabled ? "enabled" : "?")) << " width=" << Hints .getWidth() << " unroll=" << Hints.getInterleave( ) << "\n"; } } while (false) | ||||||||
| 8257 | : (Hints.getForce() == LoopVectorizeHints::FK_Enableddo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints:" << " force=" << (Hints.getForce() == LoopVectorizeHints:: FK_Disabled ? "disabled" : (Hints.getForce() == LoopVectorizeHints ::FK_Enabled ? "enabled" : "?")) << " width=" << Hints .getWidth() << " unroll=" << Hints.getInterleave( ) << "\n"; } } while (false) | ||||||||
| 8258 | ? "enabled"do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints:" << " force=" << (Hints.getForce() == LoopVectorizeHints:: FK_Disabled ? "disabled" : (Hints.getForce() == LoopVectorizeHints ::FK_Enabled ? "enabled" : "?")) << " width=" << Hints .getWidth() << " unroll=" << Hints.getInterleave( ) << "\n"; } } while (false) | ||||||||
| 8259 | : "?"))do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints:" << " force=" << (Hints.getForce() == LoopVectorizeHints:: FK_Disabled ? "disabled" : (Hints.getForce() == LoopVectorizeHints ::FK_Enabled ? "enabled" : "?")) << " width=" << Hints .getWidth() << " unroll=" << Hints.getInterleave( ) << "\n"; } } while (false) | ||||||||
| 8260 | << " width=" << Hints.getWidth()do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints:" << " force=" << (Hints.getForce() == LoopVectorizeHints:: FK_Disabled ? "disabled" : (Hints.getForce() == LoopVectorizeHints ::FK_Enabled ? "enabled" : "?")) << " width=" << Hints .getWidth() << " unroll=" << Hints.getInterleave( ) << "\n"; } } while (false) | ||||||||
| 8261 | << " unroll=" << Hints.getInterleave() << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints:" << " force=" << (Hints.getForce() == LoopVectorizeHints:: FK_Disabled ? "disabled" : (Hints.getForce() == LoopVectorizeHints ::FK_Enabled ? "enabled" : "?")) << " width=" << Hints .getWidth() << " unroll=" << Hints.getInterleave( ) << "\n"; } } while (false); | ||||||||
| 8262 | |||||||||
| 8263 | // Function containing loop | ||||||||
| 8264 | Function *F = L->getHeader()->getParent(); | ||||||||
| 8265 | |||||||||
| 8266 | // Looking at the diagnostic output is the only way to determine if a loop | ||||||||
| 8267 | // was vectorized (other than looking at the IR or machine code), so it | ||||||||
| 8268 | // is important to generate an optimization remark for each loop. Most of | ||||||||
| 8269 | // these messages are generated as OptimizationRemarkAnalysis. Remarks | ||||||||
| 8270 | // generated as OptimizationRemark and OptimizationRemarkMissed are | ||||||||
| 8271 | // less verbose reporting vectorized loops and unvectorized loops that may | ||||||||
| 8272 | // benefit from vectorization, respectively. | ||||||||
| 8273 | |||||||||
| 8274 | if (!Hints.allowVectorization(F, L, VectorizeOnlyWhenForced)) { | ||||||||
| 8275 | LLVM_DEBUG(dbgs() << "LV: Loop hints prevent vectorization.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Loop hints prevent vectorization.\n" ; } } while (false); | ||||||||
| 8276 | return false; | ||||||||
| 8277 | } | ||||||||
| 8278 | |||||||||
| 8279 | PredicatedScalarEvolution PSE(*SE, *L); | ||||||||
| 8280 | |||||||||
| 8281 | // Check if it is legal to vectorize the loop. | ||||||||
| 8282 | LoopVectorizationRequirements Requirements(*ORE); | ||||||||
| 8283 | LoopVectorizationLegality LVL(L, PSE, DT, TTI, TLI, AA, F, GetLAA, LI, ORE, | ||||||||
| 8284 | &Requirements, &Hints, DB, AC, BFI, PSI); | ||||||||
| 8285 | if (!LVL.canVectorize(EnableVPlanNativePath)) { | ||||||||
| 8286 | LLVM_DEBUG(dbgs() << "LV: Not vectorizing: Cannot prove legality.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not vectorizing: Cannot prove legality.\n" ; } } while (false); | ||||||||
| 8287 | Hints.emitRemarkWithHints(); | ||||||||
| 8288 | return false; | ||||||||
| 8289 | } | ||||||||
| 8290 | |||||||||
| 8291 | // Check the function attributes and profiles to find out if this function | ||||||||
| 8292 | // should be optimized for size. | ||||||||
| 8293 | ScalarEpilogueLowering SEL = getScalarEpilogueLowering( | ||||||||
| 8294 | F, L, Hints, PSI, BFI, TTI, TLI, AC, LI, PSE.getSE(), DT, LVL); | ||||||||
| 8295 | |||||||||
| 8296 | // Entrance to the VPlan-native vectorization path. Outer loops are processed | ||||||||
| 8297 | // here. They may require CFG and instruction level transformations before | ||||||||
| 8298 | // even evaluating whether vectorization is profitable. Since we cannot modify | ||||||||
| 8299 | // the incoming IR, we need to build VPlan upfront in the vectorization | ||||||||
| 8300 | // pipeline. | ||||||||
| 8301 | if (!L->isInnermost()) | ||||||||
| 8302 | return processLoopInVPlanNativePath(L, PSE, LI, DT, &LVL, TTI, TLI, DB, AC, | ||||||||
| 8303 | ORE, BFI, PSI, Hints); | ||||||||
| 8304 | |||||||||
| 8305 | assert(L->isInnermost() && "Inner loop expected.")((L->isInnermost() && "Inner loop expected.") ? static_cast <void> (0) : __assert_fail ("L->isInnermost() && \"Inner loop expected.\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8305, __PRETTY_FUNCTION__)); | ||||||||
| 8306 | |||||||||
| 8307 | // Check the loop for a trip count threshold: vectorize loops with a tiny trip | ||||||||
| 8308 | // count by optimizing for size, to minimize overheads. | ||||||||
| 8309 | auto ExpectedTC = getSmallBestKnownTC(*SE, L); | ||||||||
| 8310 | if (ExpectedTC && *ExpectedTC < TinyTripCountVectorThreshold) { | ||||||||
| 8311 | LLVM_DEBUG(dbgs() << "LV: Found a loop with a very small trip count. "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found a loop with a very small trip count. " << "This loop is worth vectorizing only if no scalar " << "iteration overheads are incurred."; } } while (false ) | ||||||||
| 8312 | << "This loop is worth vectorizing only if no scalar "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found a loop with a very small trip count. " << "This loop is worth vectorizing only if no scalar " << "iteration overheads are incurred."; } } while (false ) | ||||||||
| 8313 | << "iteration overheads are incurred.")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found a loop with a very small trip count. " << "This loop is worth vectorizing only if no scalar " << "iteration overheads are incurred."; } } while (false ); | ||||||||
| 8314 | if (Hints.getForce() == LoopVectorizeHints::FK_Enabled) | ||||||||
| 8315 | LLVM_DEBUG(dbgs() << " But vectorizing was explicitly forced.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << " But vectorizing was explicitly forced.\n" ; } } while (false); | ||||||||
| 8316 | else { | ||||||||
| 8317 | LLVM_DEBUG(dbgs() << "\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "\n"; } } while (false); | ||||||||
| 8318 | SEL = CM_ScalarEpilogueNotAllowedLowTripLoop; | ||||||||
| 8319 | } | ||||||||
| 8320 | } | ||||||||
| 8321 | |||||||||
| 8322 | // Check the function attributes to see if implicit floats are allowed. | ||||||||
| 8323 | // FIXME: This check doesn't seem possibly correct -- what if the loop is | ||||||||
| 8324 | // an integer loop and the vector instructions selected are purely integer | ||||||||
| 8325 | // vector instructions? | ||||||||
| 8326 | if (F->hasFnAttribute(Attribute::NoImplicitFloat)) { | ||||||||
| 8327 | reportVectorizationFailure( | ||||||||
| 8328 | "Can't vectorize when the NoImplicitFloat attribute is used", | ||||||||
| 8329 | "loop not vectorized due to NoImplicitFloat attribute", | ||||||||
| 8330 | "NoImplicitFloat", ORE, L); | ||||||||
| 8331 | Hints.emitRemarkWithHints(); | ||||||||
| 8332 | return false; | ||||||||
| 8333 | } | ||||||||
| 8334 | |||||||||
| 8335 | // Check if the target supports potentially unsafe FP vectorization. | ||||||||
| 8336 | // FIXME: Add a check for the type of safety issue (denormal, signaling) | ||||||||
| 8337 | // for the target we're vectorizing for, to make sure none of the | ||||||||
| 8338 | // additional fp-math flags can help. | ||||||||
| 8339 | if (Hints.isPotentiallyUnsafe() && | ||||||||
| 8340 | TTI->isFPVectorizationPotentiallyUnsafe()) { | ||||||||
| 8341 | reportVectorizationFailure( | ||||||||
| 8342 | "Potentially unsafe FP op prevents vectorization", | ||||||||
| 8343 | "loop not vectorized due to unsafe FP support.", | ||||||||
| 8344 | "UnsafeFP", ORE, L); | ||||||||
| 8345 | Hints.emitRemarkWithHints(); | ||||||||
| 8346 | return false; | ||||||||
| 8347 | } | ||||||||
| 8348 | |||||||||
| 8349 | bool UseInterleaved = TTI->enableInterleavedAccessVectorization(); | ||||||||
| 8350 | InterleavedAccessInfo IAI(PSE, L, DT, LI, LVL.getLAI()); | ||||||||
| 8351 | |||||||||
| 8352 | // If an override option has been passed in for interleaved accesses, use it. | ||||||||
| 8353 | if (EnableInterleavedMemAccesses.getNumOccurrences() > 0) | ||||||||
| 8354 | UseInterleaved = EnableInterleavedMemAccesses; | ||||||||
| 8355 | |||||||||
| 8356 | // Analyze interleaved memory accesses. | ||||||||
| 8357 | if (UseInterleaved) { | ||||||||
| 8358 | IAI.analyzeInterleaving(useMaskedInterleavedAccesses(*TTI)); | ||||||||
| 8359 | } | ||||||||
| 8360 | |||||||||
| 8361 | // Use the cost model. | ||||||||
| 8362 | LoopVectorizationCostModel CM(SEL, L, PSE, LI, &LVL, *TTI, TLI, DB, AC, ORE, | ||||||||
| 8363 | F, &Hints, IAI); | ||||||||
| 8364 | CM.collectValuesToIgnore(); | ||||||||
| 8365 | |||||||||
| 8366 | // Use the planner for vectorization. | ||||||||
| 8367 | LoopVectorizationPlanner LVP(L, LI, TLI, TTI, &LVL, CM, IAI, PSE); | ||||||||
| 8368 | |||||||||
| 8369 | // Get user vectorization factor and interleave count. | ||||||||
| 8370 | unsigned UserVF = Hints.getWidth(); | ||||||||
| 8371 | unsigned UserIC = Hints.getInterleave(); | ||||||||
| 8372 | |||||||||
| 8373 | // Plan how to best vectorize, return the best VF and its cost. | ||||||||
| 8374 | Optional<VectorizationFactor> MaybeVF = | ||||||||
| 8375 | LVP.plan(ElementCount::getFixed(UserVF), UserIC); | ||||||||
| 8376 | |||||||||
| 8377 | VectorizationFactor VF = VectorizationFactor::Disabled(); | ||||||||
| 8378 | unsigned IC = 1; | ||||||||
| 8379 | |||||||||
| 8380 | if (MaybeVF) { | ||||||||
| 8381 | VF = *MaybeVF; | ||||||||
| 8382 | // Select the interleave count. | ||||||||
| 8383 | IC = CM.selectInterleaveCount(VF.Width, VF.Cost); | ||||||||
| 8384 | } | ||||||||
| 8385 | |||||||||
| 8386 | // Identify the diagnostic messages that should be produced. | ||||||||
| 8387 | std::pair<StringRef, std::string> VecDiagMsg, IntDiagMsg; | ||||||||
| 8388 | bool VectorizeLoop = true, InterleaveLoop = true; | ||||||||
| 8389 | if (Requirements.doesNotMeet(F, L, Hints)) { | ||||||||
| 8390 | LLVM_DEBUG(dbgs() << "LV: Not vectorizing: loop did not meet vectorization "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not vectorizing: loop did not meet vectorization " "requirements.\n"; } } while (false) | ||||||||
| 8391 | "requirements.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Not vectorizing: loop did not meet vectorization " "requirements.\n"; } } while (false); | ||||||||
| 8392 | Hints.emitRemarkWithHints(); | ||||||||
| 8393 | return false; | ||||||||
| 8394 | } | ||||||||
| 8395 | |||||||||
| 8396 | if (VF.Width == 1) { | ||||||||
| 8397 | LLVM_DEBUG(dbgs() << "LV: Vectorization is possible but not beneficial.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Vectorization is possible but not beneficial.\n" ; } } while (false); | ||||||||
| 8398 | VecDiagMsg = std::make_pair( | ||||||||
| 8399 | "VectorizationNotBeneficial", | ||||||||
| 8400 | "the cost-model indicates that vectorization is not beneficial"); | ||||||||
| 8401 | VectorizeLoop = false; | ||||||||
| 8402 | } | ||||||||
| 8403 | |||||||||
| 8404 | if (!MaybeVF && UserIC > 1) { | ||||||||
| 8405 | // Tell the user interleaving was avoided up-front, despite being explicitly | ||||||||
| 8406 | // requested. | ||||||||
| 8407 | LLVM_DEBUG(dbgs() << "LV: Ignoring UserIC, because vectorization and "do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Ignoring UserIC, because vectorization and " "interleaving should be avoided up front\n"; } } while (false ) | ||||||||
| 8408 | "interleaving should be avoided up front\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Ignoring UserIC, because vectorization and " "interleaving should be avoided up front\n"; } } while (false ); | ||||||||
| 8409 | IntDiagMsg = std::make_pair( | ||||||||
| 8410 | "InterleavingAvoided", | ||||||||
| 8411 | "Ignoring UserIC, because interleaving was avoided up front"); | ||||||||
| 8412 | InterleaveLoop = false; | ||||||||
| 8413 | } else if (IC == 1 && UserIC <= 1) { | ||||||||
| 8414 | // Tell the user interleaving is not beneficial. | ||||||||
| 8415 | LLVM_DEBUG(dbgs() << "LV: Interleaving is not beneficial.\n")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Interleaving is not beneficial.\n" ; } } while (false); | ||||||||
| 8416 | IntDiagMsg = std::make_pair( | ||||||||
| 8417 | "InterleavingNotBeneficial", | ||||||||
| 8418 | "the cost-model indicates that interleaving is not beneficial"); | ||||||||
| 8419 | InterleaveLoop = false; | ||||||||
| 8420 | if (UserIC == 1) { | ||||||||
| 8421 | IntDiagMsg.first = "InterleavingNotBeneficialAndDisabled"; | ||||||||
| 8422 | IntDiagMsg.second += | ||||||||
| 8423 | " and is explicitly disabled or interleave count is set to 1"; | ||||||||
| 8424 | } | ||||||||
| 8425 | } else if (IC > 1 && UserIC == 1) { | ||||||||
| 8426 | // Tell the user interleaving is beneficial, but it explicitly disabled. | ||||||||
| 8427 | LLVM_DEBUG(do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Interleaving is beneficial but is explicitly disabled." ; } } while (false) | ||||||||
| 8428 | dbgs() << "LV: Interleaving is beneficial but is explicitly disabled.")do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Interleaving is beneficial but is explicitly disabled." ; } } while (false); | ||||||||
| 8429 | IntDiagMsg = std::make_pair( | ||||||||
| 8430 | "InterleavingBeneficialButDisabled", | ||||||||
| 8431 | "the cost-model indicates that interleaving is beneficial " | ||||||||
| 8432 | "but is explicitly disabled or interleave count is set to 1"); | ||||||||
| 8433 | InterleaveLoop = false; | ||||||||
| 8434 | } | ||||||||
| 8435 | |||||||||
| 8436 | // Override IC if user provided an interleave count. | ||||||||
| 8437 | IC = UserIC > 0 ? UserIC : IC; | ||||||||
| 8438 | |||||||||
| 8439 | // Emit diagnostic messages, if any. | ||||||||
| 8440 | const char *VAPassName = Hints.vectorizeAnalysisPassName(); | ||||||||
| 8441 | if (!VectorizeLoop && !InterleaveLoop) { | ||||||||
| 8442 | // Do not vectorize or interleaving the loop. | ||||||||
| 8443 | ORE->emit([&]() { | ||||||||
| 8444 | return OptimizationRemarkMissed(VAPassName, VecDiagMsg.first, | ||||||||
| 8445 | L->getStartLoc(), L->getHeader()) | ||||||||
| 8446 | << VecDiagMsg.second; | ||||||||
| 8447 | }); | ||||||||
| 8448 | ORE->emit([&]() { | ||||||||
| 8449 | return OptimizationRemarkMissed(LV_NAME"loop-vectorize", IntDiagMsg.first, | ||||||||
| 8450 | L->getStartLoc(), L->getHeader()) | ||||||||
| 8451 | << IntDiagMsg.second; | ||||||||
| 8452 | }); | ||||||||
| 8453 | return false; | ||||||||
| 8454 | } else if (!VectorizeLoop && InterleaveLoop) { | ||||||||
| 8455 | LLVM_DEBUG(dbgs() << "LV: Interleave Count is " << IC << '\n')do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Interleave Count is " << IC << '\n'; } } while (false); | ||||||||
| 8456 | ORE->emit([&]() { | ||||||||
| 8457 | return OptimizationRemarkAnalysis(VAPassName, VecDiagMsg.first, | ||||||||
| 8458 | L->getStartLoc(), L->getHeader()) | ||||||||
| 8459 | << VecDiagMsg.second; | ||||||||
| 8460 | }); | ||||||||
| 8461 | } else if (VectorizeLoop && !InterleaveLoop) { | ||||||||
| 8462 | LLVM_DEBUG(dbgs() << "LV: Found a vectorizable loop (" << VF.Widthdo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found a vectorizable loop (" << VF.Width << ") in " << DebugLocStr << '\n'; } } while (false) | ||||||||
| 8463 | << ") in " << DebugLocStr << '\n')do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found a vectorizable loop (" << VF.Width << ") in " << DebugLocStr << '\n'; } } while (false); | ||||||||
| 8464 | ORE->emit([&]() { | ||||||||
| 8465 | return OptimizationRemarkAnalysis(LV_NAME"loop-vectorize", IntDiagMsg.first, | ||||||||
| 8466 | L->getStartLoc(), L->getHeader()) | ||||||||
| 8467 | << IntDiagMsg.second; | ||||||||
| 8468 | }); | ||||||||
| 8469 | } else if (VectorizeLoop && InterleaveLoop) { | ||||||||
| 8470 | LLVM_DEBUG(dbgs() << "LV: Found a vectorizable loop (" << VF.Widthdo { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found a vectorizable loop (" << VF.Width << ") in " << DebugLocStr << '\n'; } } while (false) | ||||||||
| 8471 | << ") in " << DebugLocStr << '\n')do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Found a vectorizable loop (" << VF.Width << ") in " << DebugLocStr << '\n'; } } while (false); | ||||||||
| 8472 | LLVM_DEBUG(dbgs() << "LV: Interleave Count is " << IC << '\n')do { if (::llvm::DebugFlag && ::llvm::isCurrentDebugType ("loop-vectorize")) { dbgs() << "LV: Interleave Count is " << IC << '\n'; } } while (false); | ||||||||
| 8473 | } | ||||||||
| 8474 | |||||||||
| 8475 | LVP.setBestPlan(VF.Width, IC); | ||||||||
| 8476 | |||||||||
| 8477 | using namespace ore; | ||||||||
| 8478 | bool DisableRuntimeUnroll = false; | ||||||||
| 8479 | MDNode *OrigLoopID = L->getLoopID(); | ||||||||
| 8480 | |||||||||
| 8481 | if (!VectorizeLoop) { | ||||||||
| 8482 | assert(IC > 1 && "interleave count should not be 1 or 0")((IC > 1 && "interleave count should not be 1 or 0" ) ? static_cast<void> (0) : __assert_fail ("IC > 1 && \"interleave count should not be 1 or 0\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8482, __PRETTY_FUNCTION__)); | ||||||||
| 8483 | // If we decided that it is not legal to vectorize the loop, then | ||||||||
| 8484 | // interleave it. | ||||||||
| 8485 | InnerLoopUnroller Unroller(L, PSE, LI, DT, TLI, TTI, AC, ORE, IC, &LVL, &CM, | ||||||||
| 8486 | BFI, PSI); | ||||||||
| 8487 | LVP.executePlan(Unroller, DT); | ||||||||
| 8488 | |||||||||
| 8489 | ORE->emit([&]() { | ||||||||
| 8490 | return OptimizationRemark(LV_NAME"loop-vectorize", "Interleaved", L->getStartLoc(), | ||||||||
| 8491 | L->getHeader()) | ||||||||
| 8492 | << "interleaved loop (interleaved count: " | ||||||||
| 8493 | << NV("InterleaveCount", IC) << ")"; | ||||||||
| 8494 | }); | ||||||||
| 8495 | } else { | ||||||||
| 8496 | // If we decided that it is *legal* to vectorize the loop, then do it. | ||||||||
| 8497 | InnerLoopVectorizer LB(L, PSE, LI, DT, TLI, TTI, AC, ORE, VF.Width, IC, | ||||||||
| 8498 | &LVL, &CM, BFI, PSI); | ||||||||
| 8499 | LVP.executePlan(LB, DT); | ||||||||
| 8500 | ++LoopsVectorized; | ||||||||
| 8501 | |||||||||
| 8502 | // Add metadata to disable runtime unrolling a scalar loop when there are | ||||||||
| 8503 | // no runtime checks about strides and memory. A scalar loop that is | ||||||||
| 8504 | // rarely used is not worth unrolling. | ||||||||
| 8505 | if (!LB.areSafetyChecksAdded()) | ||||||||
| 8506 | DisableRuntimeUnroll = true; | ||||||||
| 8507 | |||||||||
| 8508 | // Report the vectorization decision. | ||||||||
| 8509 | ORE->emit([&]() { | ||||||||
| 8510 | return OptimizationRemark(LV_NAME"loop-vectorize", "Vectorized", L->getStartLoc(), | ||||||||
| 8511 | L->getHeader()) | ||||||||
| 8512 | << "vectorized loop (vectorization width: " | ||||||||
| 8513 | << NV("VectorizationFactor", VF.Width) | ||||||||
| 8514 | << ", interleaved count: " << NV("InterleaveCount", IC) << ")"; | ||||||||
| 8515 | }); | ||||||||
| 8516 | } | ||||||||
| 8517 | |||||||||
| 8518 | Optional<MDNode *> RemainderLoopID = | ||||||||
| 8519 | makeFollowupLoopID(OrigLoopID, {LLVMLoopVectorizeFollowupAll, | ||||||||
| 8520 | LLVMLoopVectorizeFollowupEpilogue}); | ||||||||
| 8521 | if (RemainderLoopID.hasValue()) { | ||||||||
| 8522 | L->setLoopID(RemainderLoopID.getValue()); | ||||||||
| 8523 | } else { | ||||||||
| 8524 | if (DisableRuntimeUnroll) | ||||||||
| 8525 | AddRuntimeUnrollDisableMetaData(L); | ||||||||
| 8526 | |||||||||
| 8527 | // Mark the loop as already vectorized to avoid vectorizing again. | ||||||||
| 8528 | Hints.setAlreadyVectorized(); | ||||||||
| 8529 | } | ||||||||
| 8530 | |||||||||
| 8531 | assert(!verifyFunction(*L->getHeader()->getParent(), &dbgs()))((!verifyFunction(*L->getHeader()->getParent(), &dbgs ())) ? static_cast<void> (0) : __assert_fail ("!verifyFunction(*L->getHeader()->getParent(), &dbgs())" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp" , 8531, __PRETTY_FUNCTION__)); | ||||||||
| 8532 | return true; | ||||||||
| 8533 | } | ||||||||
| 8534 | |||||||||
| 8535 | LoopVectorizeResult LoopVectorizePass::runImpl( | ||||||||
| 8536 | Function &F, ScalarEvolution &SE_, LoopInfo &LI_, TargetTransformInfo &TTI_, | ||||||||
| 8537 | DominatorTree &DT_, BlockFrequencyInfo &BFI_, TargetLibraryInfo *TLI_, | ||||||||
| 8538 | DemandedBits &DB_, AAResults &AA_, AssumptionCache &AC_, | ||||||||
| 8539 | std::function<const LoopAccessInfo &(Loop &)> &GetLAA_, | ||||||||
| 8540 | OptimizationRemarkEmitter &ORE_, ProfileSummaryInfo *PSI_) { | ||||||||
| 8541 | SE = &SE_; | ||||||||
| 8542 | LI = &LI_; | ||||||||
| 8543 | TTI = &TTI_; | ||||||||
| 8544 | DT = &DT_; | ||||||||
| 8545 | BFI = &BFI_; | ||||||||
| 8546 | TLI = TLI_; | ||||||||
| 8547 | AA = &AA_; | ||||||||
| 8548 | AC = &AC_; | ||||||||
| 8549 | GetLAA = &GetLAA_; | ||||||||
| 8550 | DB = &DB_; | ||||||||
| 8551 | ORE = &ORE_; | ||||||||
| 8552 | PSI = PSI_; | ||||||||
| 8553 | |||||||||
| 8554 | // Don't attempt if | ||||||||
| 8555 | // 1. the target claims to have no vector registers, and | ||||||||
| 8556 | // 2. interleaving won't help ILP. | ||||||||
| 8557 | // | ||||||||
| 8558 | // The second condition is necessary because, even if the target has no | ||||||||
| 8559 | // vector registers, loop vectorization may still enable scalar | ||||||||
| 8560 | // interleaving. | ||||||||
| 8561 | if (!TTI->getNumberOfRegisters(TTI->getRegisterClassForType(true)) && | ||||||||
| 8562 | TTI->getMaxInterleaveFactor(1) < 2) | ||||||||
| 8563 | return LoopVectorizeResult(false, false); | ||||||||
| 8564 | |||||||||
| 8565 | bool Changed = false, CFGChanged = false; | ||||||||
| 8566 | |||||||||
| 8567 | // The vectorizer requires loops to be in simplified form. | ||||||||
| 8568 | // Since simplification may add new inner loops, it has to run before the | ||||||||
| 8569 | // legality and profitability checks. This means running the loop vectorizer | ||||||||
| 8570 | // will simplify all loops, regardless of whether anything end up being | ||||||||
| 8571 | // vectorized. | ||||||||
| 8572 | for (auto &L : *LI) | ||||||||
| 8573 | Changed |= CFGChanged |= | ||||||||
| 8574 | simplifyLoop(L, DT, LI, SE, AC, nullptr, false /* PreserveLCSSA */); | ||||||||
| 8575 | |||||||||
| 8576 | // Build up a worklist of inner-loops to vectorize. This is necessary as | ||||||||
| 8577 | // the act of vectorizing or partially unrolling a loop creates new loops | ||||||||
| 8578 | // and can invalidate iterators across the loops. | ||||||||
| 8579 | SmallVector<Loop *, 8> Worklist; | ||||||||
| 8580 | |||||||||
| 8581 | for (Loop *L : *LI) | ||||||||
| 8582 | collectSupportedLoops(*L, LI, ORE, Worklist); | ||||||||
| 8583 | |||||||||
| 8584 | LoopsAnalyzed += Worklist.size(); | ||||||||
| 8585 | |||||||||
| 8586 | // Now walk the identified inner loops. | ||||||||
| 8587 | while (!Worklist.empty()) { | ||||||||
| 8588 | Loop *L = Worklist.pop_back_val(); | ||||||||
| 8589 | |||||||||
| 8590 | // For the inner loops we actually process, form LCSSA to simplify the | ||||||||
| 8591 | // transform. | ||||||||
| 8592 | Changed |= formLCSSARecursively(*L, *DT, LI, SE); | ||||||||
| 8593 | |||||||||
| 8594 | Changed |= CFGChanged |= processLoop(L); | ||||||||
| 8595 | } | ||||||||
| 8596 | |||||||||
| 8597 | // Process each loop nest in the function. | ||||||||
| 8598 | return LoopVectorizeResult(Changed, CFGChanged); | ||||||||
| 8599 | } | ||||||||
| 8600 | |||||||||
| 8601 | PreservedAnalyses LoopVectorizePass::run(Function &F, | ||||||||
| 8602 | FunctionAnalysisManager &AM) { | ||||||||
| 8603 | auto &SE = AM.getResult<ScalarEvolutionAnalysis>(F); | ||||||||
| 8604 | auto &LI = AM.getResult<LoopAnalysis>(F); | ||||||||
| 8605 | auto &TTI = AM.getResult<TargetIRAnalysis>(F); | ||||||||
| 8606 | auto &DT = AM.getResult<DominatorTreeAnalysis>(F); | ||||||||
| 8607 | auto &BFI = AM.getResult<BlockFrequencyAnalysis>(F); | ||||||||
| 8608 | auto &TLI = AM.getResult<TargetLibraryAnalysis>(F); | ||||||||
| 8609 | auto &AA = AM.getResult<AAManager>(F); | ||||||||
| 8610 | auto &AC = AM.getResult<AssumptionAnalysis>(F); | ||||||||
| 8611 | auto &DB = AM.getResult<DemandedBitsAnalysis>(F); | ||||||||
| 8612 | auto &ORE = AM.getResult<OptimizationRemarkEmitterAnalysis>(F); | ||||||||
| 8613 | MemorySSA *MSSA = EnableMSSALoopDependency | ||||||||
| 8614 | ? &AM.getResult<MemorySSAAnalysis>(F).getMSSA() | ||||||||
| 8615 | : nullptr; | ||||||||
| 8616 | |||||||||
| 8617 | auto &LAM = AM.getResult<LoopAnalysisManagerFunctionProxy>(F).getManager(); | ||||||||
| 8618 | std::function<const LoopAccessInfo &(Loop &)> GetLAA = | ||||||||
| 8619 | [&](Loop &L) -> const LoopAccessInfo & { | ||||||||
| 8620 | LoopStandardAnalysisResults AR = {AA, AC, DT, LI, SE, | ||||||||
| 8621 | TLI, TTI, nullptr, MSSA}; | ||||||||
| 8622 | return LAM.getResult<LoopAccessAnalysis>(L, AR); | ||||||||
| 8623 | }; | ||||||||
| 8624 | auto &MAMProxy = AM.getResult<ModuleAnalysisManagerFunctionProxy>(F); | ||||||||
| 8625 | ProfileSummaryInfo *PSI = | ||||||||
| 8626 | MAMProxy.getCachedResult<ProfileSummaryAnalysis>(*F.getParent()); | ||||||||
| 8627 | LoopVectorizeResult Result = | ||||||||
| 8628 | runImpl(F, SE, LI, TTI, DT, BFI, &TLI, DB, AA, AC, GetLAA, ORE, PSI); | ||||||||
| 8629 | if (!Result.MadeAnyChange) | ||||||||
| 8630 | return PreservedAnalyses::all(); | ||||||||
| 8631 | PreservedAnalyses PA; | ||||||||
| 8632 | |||||||||
| 8633 | // We currently do not preserve loopinfo/dominator analyses with outer loop | ||||||||
| 8634 | // vectorization. Until this is addressed, mark these analyses as preserved | ||||||||
| 8635 | // only for non-VPlan-native path. | ||||||||
| 8636 | // TODO: Preserve Loop and Dominator analyses for VPlan-native path. | ||||||||
| 8637 | if (!EnableVPlanNativePath) { | ||||||||
| 8638 | PA.preserve<LoopAnalysis>(); | ||||||||
| 8639 | PA.preserve<DominatorTreeAnalysis>(); | ||||||||
| 8640 | } | ||||||||
| 8641 | PA.preserve<BasicAA>(); | ||||||||
| 8642 | PA.preserve<GlobalsAA>(); | ||||||||
| 8643 | if (!Result.MadeCFGChange) | ||||||||
| 8644 | PA.preserveSet<CFGAnalyses>(); | ||||||||
| 8645 | return PA; | ||||||||
| 8646 | } |
| 1 | //===- LoopVectorizationPlanner.h - Planner for LoopVectorization ---------===// |
| 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 | /// \file |
| 10 | /// This file provides a LoopVectorizationPlanner class. |
| 11 | /// InnerLoopVectorizer vectorizes loops which contain only one basic |
| 12 | /// LoopVectorizationPlanner - drives the vectorization process after having |
| 13 | /// passed Legality checks. |
| 14 | /// The planner builds and optimizes the Vectorization Plans which record the |
| 15 | /// decisions how to vectorize the given loop. In particular, represent the |
| 16 | /// control-flow of the vectorized version, the replication of instructions that |
| 17 | /// are to be scalarized, and interleave access groups. |
| 18 | /// |
| 19 | /// Also provides a VPlan-based builder utility analogous to IRBuilder. |
| 20 | /// It provides an instruction-level API for generating VPInstructions while |
| 21 | /// abstracting away the Recipe manipulation details. |
| 22 | //===----------------------------------------------------------------------===// |
| 23 | |
| 24 | #ifndef LLVM_TRANSFORMS_VECTORIZE_LOOPVECTORIZATIONPLANNER_H |
| 25 | #define LLVM_TRANSFORMS_VECTORIZE_LOOPVECTORIZATIONPLANNER_H |
| 26 | |
| 27 | #include "VPlan.h" |
| 28 | #include "llvm/Analysis/LoopInfo.h" |
| 29 | #include "llvm/Analysis/TargetLibraryInfo.h" |
| 30 | #include "llvm/Analysis/TargetTransformInfo.h" |
| 31 | |
| 32 | namespace llvm { |
| 33 | |
| 34 | class LoopVectorizationLegality; |
| 35 | class LoopVectorizationCostModel; |
| 36 | class PredicatedScalarEvolution; |
| 37 | class VPRecipeBuilder; |
| 38 | |
| 39 | /// VPlan-based builder utility analogous to IRBuilder. |
| 40 | class VPBuilder { |
| 41 | VPBasicBlock *BB = nullptr; |
| 42 | VPBasicBlock::iterator InsertPt = VPBasicBlock::iterator(); |
| 43 | |
| 44 | VPInstruction *createInstruction(unsigned Opcode, |
| 45 | ArrayRef<VPValue *> Operands) { |
| 46 | VPInstruction *Instr = new VPInstruction(Opcode, Operands); |
| 47 | if (BB) |
| 48 | BB->insert(Instr, InsertPt); |
| 49 | return Instr; |
| 50 | } |
| 51 | |
| 52 | VPInstruction *createInstruction(unsigned Opcode, |
| 53 | std::initializer_list<VPValue *> Operands) { |
| 54 | return createInstruction(Opcode, ArrayRef<VPValue *>(Operands)); |
| 55 | } |
| 56 | |
| 57 | public: |
| 58 | VPBuilder() {} |
| 59 | |
| 60 | /// Clear the insertion point: created instructions will not be inserted into |
| 61 | /// a block. |
| 62 | void clearInsertionPoint() { |
| 63 | BB = nullptr; |
| 64 | InsertPt = VPBasicBlock::iterator(); |
| 65 | } |
| 66 | |
| 67 | VPBasicBlock *getInsertBlock() const { return BB; } |
| 68 | VPBasicBlock::iterator getInsertPoint() const { return InsertPt; } |
| 69 | |
| 70 | /// InsertPoint - A saved insertion point. |
| 71 | class VPInsertPoint { |
| 72 | VPBasicBlock *Block = nullptr; |
| 73 | VPBasicBlock::iterator Point; |
| 74 | |
| 75 | public: |
| 76 | /// Creates a new insertion point which doesn't point to anything. |
| 77 | VPInsertPoint() = default; |
| 78 | |
| 79 | /// Creates a new insertion point at the given location. |
| 80 | VPInsertPoint(VPBasicBlock *InsertBlock, VPBasicBlock::iterator InsertPoint) |
| 81 | : Block(InsertBlock), Point(InsertPoint) {} |
| 82 | |
| 83 | /// Returns true if this insert point is set. |
| 84 | bool isSet() const { return Block != nullptr; } |
| 85 | |
| 86 | VPBasicBlock *getBlock() const { return Block; } |
| 87 | VPBasicBlock::iterator getPoint() const { return Point; } |
| 88 | }; |
| 89 | |
| 90 | /// Sets the current insert point to a previously-saved location. |
| 91 | void restoreIP(VPInsertPoint IP) { |
| 92 | if (IP.isSet()) |
| 93 | setInsertPoint(IP.getBlock(), IP.getPoint()); |
| 94 | else |
| 95 | clearInsertionPoint(); |
| 96 | } |
| 97 | |
| 98 | /// This specifies that created VPInstructions should be appended to the end |
| 99 | /// of the specified block. |
| 100 | void setInsertPoint(VPBasicBlock *TheBB) { |
| 101 | assert(TheBB && "Attempting to set a null insert point")((TheBB && "Attempting to set a null insert point") ? static_cast<void> (0) : __assert_fail ("TheBB && \"Attempting to set a null insert point\"" , "/build/llvm-toolchain-snapshot-12~++20200927111121+5811d723998/llvm/lib/Transforms/Vectorize/LoopVectorizationPlanner.h" , 101, __PRETTY_FUNCTION__)); |
| 102 | BB = TheBB; |
| 103 | InsertPt = BB->end(); |
| 104 | } |
| 105 | |
| 106 | /// This specifies that created instructions should be inserted at the |
| 107 | /// specified point. |
| 108 | void setInsertPoint(VPBasicBlock *TheBB, VPBasicBlock::iterator IP) { |
| 109 | BB = TheBB; |
| 110 | InsertPt = IP; |
| 111 | } |
| 112 | |
| 113 | /// Insert and return the specified instruction. |
| 114 | VPInstruction *insert(VPInstruction *I) const { |
| 115 | BB->insert(I, InsertPt); |
| 116 | return I; |
| 117 | } |
| 118 | |
| 119 | /// Create an N-ary operation with \p Opcode, \p Operands and set \p Inst as |
| 120 | /// its underlying Instruction. |
| 121 | VPValue *createNaryOp(unsigned Opcode, ArrayRef<VPValue *> Operands, |
| 122 | Instruction *Inst = nullptr) { |
| 123 | VPInstruction *NewVPInst = createInstruction(Opcode, Operands); |
| 124 | NewVPInst->setUnderlyingValue(Inst); |
| 125 | return NewVPInst; |
| 126 | } |
| 127 | VPValue *createNaryOp(unsigned Opcode, |
| 128 | std::initializer_list<VPValue *> Operands, |
| 129 | Instruction *Inst = nullptr) { |
| 130 | return createNaryOp(Opcode, ArrayRef<VPValue *>(Operands), Inst); |
| 131 | } |
| 132 | |
| 133 | VPValue *createNot(VPValue *Operand) { |
| 134 | return createInstruction(VPInstruction::Not, {Operand}); |
| 135 | } |
| 136 | |
| 137 | VPValue *createAnd(VPValue *LHS, VPValue *RHS) { |
| 138 | return createInstruction(Instruction::BinaryOps::And, {LHS, RHS}); |
| 139 | } |
| 140 | |
| 141 | VPValue *createOr(VPValue *LHS, VPValue *RHS) { |
| 142 | return createInstruction(Instruction::BinaryOps::Or, {LHS, RHS}); |
| 143 | } |
| 144 | |
| 145 | //===--------------------------------------------------------------------===// |
| 146 | // RAII helpers. |
| 147 | //===--------------------------------------------------------------------===// |
| 148 | |
| 149 | /// RAII object that stores the current insertion point and restores it when |
| 150 | /// the object is destroyed. |
| 151 | class InsertPointGuard { |
| 152 | VPBuilder &Builder; |
| 153 | VPBasicBlock *Block; |
| 154 | VPBasicBlock::iterator Point; |
| 155 | |
| 156 | public: |
| 157 | InsertPointGuard(VPBuilder &B) |
| 158 | : Builder(B), Block(B.getInsertBlock()), Point(B.getInsertPoint()) {} |
| 159 | |
| 160 | InsertPointGuard(const InsertPointGuard &) = delete; |
| 161 | InsertPointGuard &operator=(const InsertPointGuard &) = delete; |
| 162 | |
| 163 | ~InsertPointGuard() { Builder.restoreIP(VPInsertPoint(Block, Point)); } |
| 164 | }; |
| 165 | }; |
| 166 | |
| 167 | /// TODO: The following VectorizationFactor was pulled out of |
| 168 | /// LoopVectorizationCostModel class. LV also deals with |
| 169 | /// VectorizerParams::VectorizationFactor and VectorizationCostTy. |
| 170 | /// We need to streamline them. |
| 171 | |
| 172 | /// Information about vectorization costs |
| 173 | struct VectorizationFactor { |
| 174 | // Vector width with best cost |
| 175 | ElementCount Width; |
| 176 | // Cost of the loop with that width |
| 177 | unsigned Cost; |
| 178 | |
| 179 | // Width 1 means no vectorization, cost 0 means uncomputed cost. |
| 180 | static VectorizationFactor Disabled() { |
| 181 | return {ElementCount::getFixed(1), 0}; |
| 182 | } |
| 183 | |
| 184 | bool operator==(const VectorizationFactor &rhs) const { |
| 185 | return Width == rhs.Width && Cost == rhs.Cost; |
| 186 | } |
| 187 | }; |
| 188 | |
| 189 | /// Planner drives the vectorization process after having passed |
| 190 | /// Legality checks. |
| 191 | class LoopVectorizationPlanner { |
| 192 | /// The loop that we evaluate. |
| 193 | Loop *OrigLoop; |
| 194 | |
| 195 | /// Loop Info analysis. |
| 196 | LoopInfo *LI; |
| 197 | |
| 198 | /// Target Library Info. |
| 199 | const TargetLibraryInfo *TLI; |
| 200 | |
| 201 | /// Target Transform Info. |
| 202 | const TargetTransformInfo *TTI; |
| 203 | |
| 204 | /// The legality analysis. |
| 205 | LoopVectorizationLegality *Legal; |
| 206 | |
| 207 | /// The profitability analysis. |
| 208 | LoopVectorizationCostModel &CM; |
| 209 | |
| 210 | /// The interleaved access analysis. |
| 211 | InterleavedAccessInfo &IAI; |
| 212 | |
| 213 | PredicatedScalarEvolution &PSE; |
| 214 | |
| 215 | SmallVector<VPlanPtr, 4> VPlans; |
| 216 | |
| 217 | /// This class is used to enable the VPlan to invoke a method of ILV. This is |
| 218 | /// needed until the method is refactored out of ILV and becomes reusable. |
| 219 | struct VPCallbackILV : public VPCallback { |
| 220 | InnerLoopVectorizer &ILV; |
| 221 | |
| 222 | VPCallbackILV(InnerLoopVectorizer &ILV) : ILV(ILV) {} |
| 223 | |
| 224 | Value *getOrCreateVectorValues(Value *V, unsigned Part) override; |
| 225 | Value *getOrCreateScalarValue(Value *V, |
| 226 | const VPIteration &Instance) override; |
| 227 | }; |
| 228 | |
| 229 | /// A builder used to construct the current plan. |
| 230 | VPBuilder Builder; |
| 231 | |
| 232 | /// The best number of elements of the vector types used in the |
| 233 | /// transformed loop. BestVF = None means that vectorization is |
| 234 | /// disabled. |
| 235 | Optional<ElementCount> BestVF = None; |
| 236 | unsigned BestUF = 0; |
| 237 | |
| 238 | public: |
| 239 | LoopVectorizationPlanner(Loop *L, LoopInfo *LI, const TargetLibraryInfo *TLI, |
| 240 | const TargetTransformInfo *TTI, |
| 241 | LoopVectorizationLegality *Legal, |
| 242 | LoopVectorizationCostModel &CM, |
| 243 | InterleavedAccessInfo &IAI, |
| 244 | PredicatedScalarEvolution &PSE) |
| 245 | : OrigLoop(L), LI(LI), TLI(TLI), TTI(TTI), Legal(Legal), CM(CM), IAI(IAI), |
| 246 | PSE(PSE) {} |
| 247 | |
| 248 | /// Plan how to best vectorize, return the best VF and its cost, or None if |
| 249 | /// vectorization and interleaving should be avoided up front. |
| 250 | Optional<VectorizationFactor> plan(ElementCount UserVF, unsigned UserIC); |
| 251 | |
| 252 | /// Use the VPlan-native path to plan how to best vectorize, return the best |
| 253 | /// VF and its cost. |
| 254 | VectorizationFactor planInVPlanNativePath(ElementCount UserVF); |
| 255 | |
| 256 | /// Finalize the best decision and dispose of all other VPlans. |
| 257 | void setBestPlan(ElementCount VF, unsigned UF); |
| 258 | |
| 259 | /// Generate the IR code for the body of the vectorized loop according to the |
| 260 | /// best selected VPlan. |
| 261 | void executePlan(InnerLoopVectorizer &LB, DominatorTree *DT); |
| 262 | |
| 263 | void printPlans(raw_ostream &O) { |
| 264 | for (const auto &Plan : VPlans) |
| 265 | O << *Plan; |
| 266 | } |
| 267 | |
| 268 | /// Test a \p Predicate on a \p Range of VF's. Return the value of applying |
| 269 | /// \p Predicate on Range.Start, possibly decreasing Range.End such that the |
| 270 | /// returned value holds for the entire \p Range. |
| 271 | static bool |
| 272 | getDecisionAndClampRange(const std::function<bool(ElementCount)> &Predicate, |
| 273 | VFRange &Range); |
| 274 | |
| 275 | protected: |
| 276 | /// Collect the instructions from the original loop that would be trivially |
| 277 | /// dead in the vectorized loop if generated. |
| 278 | void collectTriviallyDeadInstructions( |
| 279 | SmallPtrSetImpl<Instruction *> &DeadInstructions); |
| 280 | |
| 281 | /// Build VPlans for power-of-2 VF's between \p MinVF and \p MaxVF inclusive, |
| 282 | /// according to the information gathered by Legal when it checked if it is |
| 283 | /// legal to vectorize the loop. |
| 284 | void buildVPlans(unsigned MinVF, unsigned MaxVF); |
| 285 | |
| 286 | private: |
| 287 | /// Build a VPlan according to the information gathered by Legal. \return a |
| 288 | /// VPlan for vectorization factors \p Range.Start and up to \p Range.End |
| 289 | /// exclusive, possibly decreasing \p Range.End. |
| 290 | VPlanPtr buildVPlan(VFRange &Range); |
| 291 | |
| 292 | /// Build a VPlan using VPRecipes according to the information gather by |
| 293 | /// Legal. This method is only used for the legacy inner loop vectorizer. |
| 294 | VPlanPtr buildVPlanWithVPRecipes( |
| 295 | VFRange &Range, SmallPtrSetImpl<Value *> &NeedDef, |
| 296 | SmallPtrSetImpl<Instruction *> &DeadInstructions, |
| 297 | const DenseMap<Instruction *, Instruction *> &SinkAfter); |
| 298 | |
| 299 | /// Build VPlans for power-of-2 VF's between \p MinVF and \p MaxVF inclusive, |
| 300 | /// according to the information gathered by Legal when it checked if it is |
| 301 | /// legal to vectorize the loop. This method creates VPlans using VPRecipes. |
| 302 | void buildVPlansWithVPRecipes(unsigned MinVF, unsigned MaxVF); |
| 303 | |
| 304 | /// Adjust the recipes for any inloop reductions. The chain of instructions |
| 305 | /// leading from the loop exit instr to the phi need to be converted to |
| 306 | /// reductions, with one operand being vector and the other being the scalar |
| 307 | /// reduction chain. |
| 308 | void adjustRecipesForInLoopReductions(VPlanPtr &Plan, |
| 309 | VPRecipeBuilder &RecipeBuilder); |
| 310 | }; |
| 311 | |
| 312 | } // namespace llvm |
| 313 | |
| 314 | #endif // LLVM_TRANSFORMS_VECTORIZE_LOOPVECTORIZATIONPLANNER_H |