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//===- LoopVectorize.h ------------------------------------------*- C++ -*-===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// This is the LLVM loop vectorizer. This pass modifies 'vectorizable' loops
// and generates target-independent LLVM-IR.
// The vectorizer uses the TargetTransformInfo analysis to estimate the costs
// of instructions in order to estimate the profitability of vectorization.
//
// The loop vectorizer combines consecutive loop iterations into a single
// 'wide' iteration. After this transformation the index is incremented
// by the SIMD vector width, and not by one.
//
// This pass has three parts:
// 1. The main loop pass that drives the different parts.
// 2. LoopVectorizationLegality - A unit that checks for the legality
// of the vectorization.
// 3. InnerLoopVectorizer - A unit that performs the actual
// widening of instructions.
// 4. LoopVectorizationCostModel - A unit that checks for the profitability
// of vectorization. It decides on the optimal vector width, which
// can be one, if vectorization is not profitable.
//
// There is a development effort going on to migrate loop vectorizer to the
// VPlan infrastructure and to introduce outer loop vectorization support (see
// docs/Proposal/VectorizationPlan.rst and
// http://lists.llvm.org/pipermail/llvm-dev/2017-December/119523.html). For this
// purpose, we temporarily introduced the VPlan-native vectorization path: an
// alternative vectorization path that is natively implemented on top of the
// VPlan infrastructure. See EnableVPlanNativePath for enabling.
//
//===----------------------------------------------------------------------===//
//
// The reduction-variable vectorization is based on the paper:
// D. Nuzman and R. Henderson. Multi-platform Auto-vectorization.
//
// Variable uniformity checks are inspired by:
// Karrenberg, R. and Hack, S. Whole Function Vectorization.
//
// The interleaved access vectorization is based on the paper:
// Dorit Nuzman, Ira Rosen and Ayal Zaks. Auto-Vectorization of Interleaved
// Data for SIMD
//
// Other ideas/concepts are from:
// A. Zaks and D. Nuzman. Autovectorization in GCC-two years later.
//
// S. Maleki, Y. Gao, M. Garzaran, T. Wong and D. Padua. An Evaluation of
// Vectorizing Compilers.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_TRANSFORMS_VECTORIZE_LOOPVECTORIZE_H
#define LLVM_TRANSFORMS_VECTORIZE_LOOPVECTORIZE_H
#include "llvm/Analysis/AliasAnalysis.h"
#include "llvm/IR/PassManager.h"
#include <functional>
namespace llvm {
class AssumptionCache;
class BlockFrequencyInfo;
class DemandedBits;
class DominatorTree;
class Function;
class Loop;
class LoopAccessInfo;
class LoopInfo;
class OptimizationRemarkEmitter;
class ScalarEvolution;
class TargetLibraryInfo;
class TargetTransformInfo;
/// The LoopVectorize Pass.
struct LoopVectorizePass : public PassInfoMixin<LoopVectorizePass> {
bool DisableUnrolling = false;
/// If true, consider all loops for vectorization.
/// If false, only loops that explicitly request vectorization are
/// considered.
bool AlwaysVectorize = true;
ScalarEvolution *SE;
LoopInfo *LI;
TargetTransformInfo *TTI;
DominatorTree *DT;
BlockFrequencyInfo *BFI;
TargetLibraryInfo *TLI;
DemandedBits *DB;
AliasAnalysis *AA;
AssumptionCache *AC;
std::function<const LoopAccessInfo &(Loop &)> *GetLAA;
OptimizationRemarkEmitter *ORE;
PreservedAnalyses run(Function &F, FunctionAnalysisManager &AM);
// Shim for old PM.
bool runImpl(Function &F, ScalarEvolution &SE_, LoopInfo &LI_,
TargetTransformInfo &TTI_, DominatorTree &DT_,
BlockFrequencyInfo &BFI_, TargetLibraryInfo *TLI_,
DemandedBits &DB_, AliasAnalysis &AA_, AssumptionCache &AC_,
std::function<const LoopAccessInfo &(Loop &)> &GetLAA_,
OptimizationRemarkEmitter &ORE);
bool processLoop(Loop *L);
};
} // end namespace llvm
#endif // LLVM_TRANSFORMS_VECTORIZE_LOOPVECTORIZE_H
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