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https://github.com/c64scene-ar/llvm-6502.git
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68081f41fa
Summary: canUnrollCompletely takes `unsigned` values for `UnrolledCost` and `RolledDynamicCost` but is passed in `uint64_t`s that are silently truncated. Because of this, when `UnrolledSize` is a large integer that has a small remainder with UINT32_MAX, LLVM tries to completely unroll loops with high trip counts. Reviewers: mzolotukhin, chandlerc Subscribers: llvm-commits Differential Revision: http://reviews.llvm.org/D10293 git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@239218 91177308-0d34-0410-b5e6-96231b3b80d8
1042 lines
40 KiB
C++
1042 lines
40 KiB
C++
//===-- LoopUnroll.cpp - Loop unroller pass -------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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// This pass implements a simple loop unroller. It works best when loops have
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// been canonicalized by the -indvars pass, allowing it to determine the trip
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// counts of loops easily.
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//===----------------------------------------------------------------------===//
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#include "llvm/Transforms/Scalar.h"
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#include "llvm/ADT/SetVector.h"
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#include "llvm/Analysis/AssumptionCache.h"
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#include "llvm/Analysis/CodeMetrics.h"
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#include "llvm/Analysis/InstructionSimplify.h"
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#include "llvm/Analysis/LoopPass.h"
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#include "llvm/Analysis/ScalarEvolution.h"
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#include "llvm/Analysis/ScalarEvolutionExpressions.h"
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#include "llvm/Analysis/TargetTransformInfo.h"
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#include "llvm/IR/DataLayout.h"
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#include "llvm/IR/DiagnosticInfo.h"
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#include "llvm/IR/Dominators.h"
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#include "llvm/IR/InstVisitor.h"
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#include "llvm/IR/IntrinsicInst.h"
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#include "llvm/IR/Metadata.h"
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#include "llvm/Support/CommandLine.h"
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#include "llvm/Support/Debug.h"
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#include "llvm/Support/raw_ostream.h"
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#include "llvm/Transforms/Utils/UnrollLoop.h"
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#include <climits>
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using namespace llvm;
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#define DEBUG_TYPE "loop-unroll"
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static cl::opt<unsigned>
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UnrollThreshold("unroll-threshold", cl::init(150), cl::Hidden,
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cl::desc("The baseline cost threshold for loop unrolling"));
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static cl::opt<unsigned> UnrollPercentDynamicCostSavedThreshold(
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"unroll-percent-dynamic-cost-saved-threshold", cl::init(20), cl::Hidden,
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cl::desc("The percentage of estimated dynamic cost which must be saved by "
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"unrolling to allow unrolling up to the max threshold."));
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static cl::opt<unsigned> UnrollDynamicCostSavingsDiscount(
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"unroll-dynamic-cost-savings-discount", cl::init(2000), cl::Hidden,
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cl::desc("This is the amount discounted from the total unroll cost when "
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"the unrolled form has a high dynamic cost savings (triggered by "
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"the '-unroll-perecent-dynamic-cost-saved-threshold' flag)."));
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static cl::opt<unsigned> UnrollMaxIterationsCountToAnalyze(
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"unroll-max-iteration-count-to-analyze", cl::init(0), cl::Hidden,
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cl::desc("Don't allow loop unrolling to simulate more than this number of"
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"iterations when checking full unroll profitability"));
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static cl::opt<unsigned>
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UnrollCount("unroll-count", cl::init(0), cl::Hidden,
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cl::desc("Use this unroll count for all loops including those with "
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"unroll_count pragma values, for testing purposes"));
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static cl::opt<bool>
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UnrollAllowPartial("unroll-allow-partial", cl::init(false), cl::Hidden,
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cl::desc("Allows loops to be partially unrolled until "
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"-unroll-threshold loop size is reached."));
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static cl::opt<bool>
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UnrollRuntime("unroll-runtime", cl::ZeroOrMore, cl::init(false), cl::Hidden,
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cl::desc("Unroll loops with run-time trip counts"));
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static cl::opt<unsigned>
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PragmaUnrollThreshold("pragma-unroll-threshold", cl::init(16 * 1024), cl::Hidden,
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cl::desc("Unrolled size limit for loops with an unroll(full) or "
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"unroll_count pragma."));
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namespace {
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class LoopUnroll : public LoopPass {
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public:
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static char ID; // Pass ID, replacement for typeid
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LoopUnroll(int T = -1, int C = -1, int P = -1, int R = -1) : LoopPass(ID) {
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CurrentThreshold = (T == -1) ? UnrollThreshold : unsigned(T);
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CurrentPercentDynamicCostSavedThreshold =
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UnrollPercentDynamicCostSavedThreshold;
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CurrentDynamicCostSavingsDiscount = UnrollDynamicCostSavingsDiscount;
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CurrentCount = (C == -1) ? UnrollCount : unsigned(C);
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CurrentAllowPartial = (P == -1) ? UnrollAllowPartial : (bool)P;
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CurrentRuntime = (R == -1) ? UnrollRuntime : (bool)R;
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UserThreshold = (T != -1) || (UnrollThreshold.getNumOccurrences() > 0);
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UserPercentDynamicCostSavedThreshold =
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(UnrollPercentDynamicCostSavedThreshold.getNumOccurrences() > 0);
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UserDynamicCostSavingsDiscount =
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(UnrollDynamicCostSavingsDiscount.getNumOccurrences() > 0);
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UserAllowPartial = (P != -1) ||
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(UnrollAllowPartial.getNumOccurrences() > 0);
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UserRuntime = (R != -1) || (UnrollRuntime.getNumOccurrences() > 0);
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UserCount = (C != -1) || (UnrollCount.getNumOccurrences() > 0);
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initializeLoopUnrollPass(*PassRegistry::getPassRegistry());
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}
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/// A magic value for use with the Threshold parameter to indicate
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/// that the loop unroll should be performed regardless of how much
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/// code expansion would result.
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static const unsigned NoThreshold = UINT_MAX;
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// Threshold to use when optsize is specified (and there is no
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// explicit -unroll-threshold).
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static const unsigned OptSizeUnrollThreshold = 50;
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// Default unroll count for loops with run-time trip count if
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// -unroll-count is not set
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static const unsigned UnrollRuntimeCount = 8;
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unsigned CurrentCount;
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unsigned CurrentThreshold;
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unsigned CurrentPercentDynamicCostSavedThreshold;
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unsigned CurrentDynamicCostSavingsDiscount;
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bool CurrentAllowPartial;
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bool CurrentRuntime;
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// Flags for whether the 'current' settings are user-specified.
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bool UserCount;
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bool UserThreshold;
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bool UserPercentDynamicCostSavedThreshold;
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bool UserDynamicCostSavingsDiscount;
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bool UserAllowPartial;
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bool UserRuntime;
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bool runOnLoop(Loop *L, LPPassManager &LPM) override;
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/// This transformation requires natural loop information & requires that
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/// loop preheaders be inserted into the CFG...
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///
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void getAnalysisUsage(AnalysisUsage &AU) const override {
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AU.addRequired<AssumptionCacheTracker>();
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AU.addRequired<LoopInfoWrapperPass>();
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AU.addPreserved<LoopInfoWrapperPass>();
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AU.addRequiredID(LoopSimplifyID);
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AU.addPreservedID(LoopSimplifyID);
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AU.addRequiredID(LCSSAID);
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AU.addPreservedID(LCSSAID);
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AU.addRequired<ScalarEvolution>();
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AU.addPreserved<ScalarEvolution>();
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AU.addRequired<TargetTransformInfoWrapperPass>();
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// FIXME: Loop unroll requires LCSSA. And LCSSA requires dom info.
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// If loop unroll does not preserve dom info then LCSSA pass on next
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// loop will receive invalid dom info.
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// For now, recreate dom info, if loop is unrolled.
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AU.addPreserved<DominatorTreeWrapperPass>();
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}
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// Fill in the UnrollingPreferences parameter with values from the
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// TargetTransformationInfo.
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void getUnrollingPreferences(Loop *L, const TargetTransformInfo &TTI,
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TargetTransformInfo::UnrollingPreferences &UP) {
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UP.Threshold = CurrentThreshold;
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UP.PercentDynamicCostSavedThreshold =
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CurrentPercentDynamicCostSavedThreshold;
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UP.DynamicCostSavingsDiscount = CurrentDynamicCostSavingsDiscount;
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UP.OptSizeThreshold = OptSizeUnrollThreshold;
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UP.PartialThreshold = CurrentThreshold;
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UP.PartialOptSizeThreshold = OptSizeUnrollThreshold;
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UP.Count = CurrentCount;
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UP.MaxCount = UINT_MAX;
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UP.Partial = CurrentAllowPartial;
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UP.Runtime = CurrentRuntime;
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UP.AllowExpensiveTripCount = false;
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TTI.getUnrollingPreferences(L, UP);
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}
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// Select and return an unroll count based on parameters from
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// user, unroll preferences, unroll pragmas, or a heuristic.
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// SetExplicitly is set to true if the unroll count is is set by
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// the user or a pragma rather than selected heuristically.
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unsigned
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selectUnrollCount(const Loop *L, unsigned TripCount, bool PragmaFullUnroll,
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unsigned PragmaCount,
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const TargetTransformInfo::UnrollingPreferences &UP,
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bool &SetExplicitly);
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// Select threshold values used to limit unrolling based on a
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// total unrolled size. Parameters Threshold and PartialThreshold
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// are set to the maximum unrolled size for fully and partially
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// unrolled loops respectively.
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void selectThresholds(const Loop *L, bool HasPragma,
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const TargetTransformInfo::UnrollingPreferences &UP,
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unsigned &Threshold, unsigned &PartialThreshold,
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unsigned &PercentDynamicCostSavedThreshold,
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unsigned &DynamicCostSavingsDiscount) {
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// Determine the current unrolling threshold. While this is
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// normally set from UnrollThreshold, it is overridden to a
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// smaller value if the current function is marked as
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// optimize-for-size, and the unroll threshold was not user
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// specified.
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Threshold = UserThreshold ? CurrentThreshold : UP.Threshold;
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PartialThreshold = UserThreshold ? CurrentThreshold : UP.PartialThreshold;
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PercentDynamicCostSavedThreshold =
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UserPercentDynamicCostSavedThreshold
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? CurrentPercentDynamicCostSavedThreshold
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: UP.PercentDynamicCostSavedThreshold;
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DynamicCostSavingsDiscount = UserDynamicCostSavingsDiscount
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? CurrentDynamicCostSavingsDiscount
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: UP.DynamicCostSavingsDiscount;
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if (!UserThreshold &&
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L->getHeader()->getParent()->hasFnAttribute(
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Attribute::OptimizeForSize)) {
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Threshold = UP.OptSizeThreshold;
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PartialThreshold = UP.PartialOptSizeThreshold;
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}
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if (HasPragma) {
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// If the loop has an unrolling pragma, we want to be more
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// aggressive with unrolling limits. Set thresholds to at
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// least the PragmaTheshold value which is larger than the
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// default limits.
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if (Threshold != NoThreshold)
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Threshold = std::max<unsigned>(Threshold, PragmaUnrollThreshold);
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if (PartialThreshold != NoThreshold)
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PartialThreshold =
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std::max<unsigned>(PartialThreshold, PragmaUnrollThreshold);
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}
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}
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bool canUnrollCompletely(Loop *L, unsigned Threshold,
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unsigned PercentDynamicCostSavedThreshold,
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unsigned DynamicCostSavingsDiscount,
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uint64_t UnrolledCost, uint64_t RolledDynamicCost);
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};
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}
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char LoopUnroll::ID = 0;
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INITIALIZE_PASS_BEGIN(LoopUnroll, "loop-unroll", "Unroll loops", false, false)
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INITIALIZE_PASS_DEPENDENCY(TargetTransformInfoWrapperPass)
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INITIALIZE_PASS_DEPENDENCY(AssumptionCacheTracker)
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INITIALIZE_PASS_DEPENDENCY(LoopInfoWrapperPass)
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INITIALIZE_PASS_DEPENDENCY(LoopSimplify)
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INITIALIZE_PASS_DEPENDENCY(LCSSA)
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INITIALIZE_PASS_DEPENDENCY(ScalarEvolution)
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INITIALIZE_PASS_END(LoopUnroll, "loop-unroll", "Unroll loops", false, false)
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Pass *llvm::createLoopUnrollPass(int Threshold, int Count, int AllowPartial,
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int Runtime) {
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return new LoopUnroll(Threshold, Count, AllowPartial, Runtime);
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}
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Pass *llvm::createSimpleLoopUnrollPass() {
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return llvm::createLoopUnrollPass(-1, -1, 0, 0);
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}
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namespace {
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/// \brief SCEV expressions visitor used for finding expressions that would
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/// become constants if the loop L is unrolled.
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struct FindConstantPointers {
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/// \brief Shows whether the expression is ConstAddress+Constant or not.
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bool IndexIsConstant;
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/// \brief Used for filtering out SCEV expressions with two or more AddRec
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/// subexpressions.
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///
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/// Used to filter out complicated SCEV expressions, having several AddRec
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/// sub-expressions. We don't handle them, because unrolling one loop
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/// would help to replace only one of these inductions with a constant, and
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/// consequently, the expression would remain non-constant.
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bool HaveSeenAR;
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/// \brief If the SCEV expression becomes ConstAddress+Constant, this value
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/// holds ConstAddress. Otherwise, it's nullptr.
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Value *BaseAddress;
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/// \brief The loop, which we try to completely unroll.
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const Loop *L;
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ScalarEvolution &SE;
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FindConstantPointers(const Loop *L, ScalarEvolution &SE)
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: IndexIsConstant(true), HaveSeenAR(false), BaseAddress(nullptr),
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L(L), SE(SE) {}
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/// Examine the given expression S and figure out, if it can be a part of an
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/// expression, that could become a constant after the loop is unrolled.
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/// The routine sets IndexIsConstant and HaveSeenAR according to the analysis
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/// results.
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/// \returns true if we need to examine subexpressions, and false otherwise.
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bool follow(const SCEV *S) {
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if (const SCEVUnknown *SC = dyn_cast<SCEVUnknown>(S)) {
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// We've reached the leaf node of SCEV, it's most probably just a
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// variable.
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// If it's the only one SCEV-subexpression, then it might be a base
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// address of an index expression.
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// If we've already recorded base address, then just give up on this SCEV
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// - it's too complicated.
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if (BaseAddress) {
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IndexIsConstant = false;
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return false;
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}
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BaseAddress = SC->getValue();
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return false;
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}
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if (isa<SCEVConstant>(S))
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return false;
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if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S)) {
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// If the current SCEV expression is AddRec, and its loop isn't the loop
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// we are about to unroll, then we won't get a constant address after
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// unrolling, and thus, won't be able to eliminate the load.
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if (AR->getLoop() != L) {
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IndexIsConstant = false;
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return false;
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}
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// We don't handle multiple AddRecs here, so give up in this case.
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if (HaveSeenAR) {
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IndexIsConstant = false;
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return false;
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}
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HaveSeenAR = true;
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}
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// Continue traversal.
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return true;
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}
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bool isDone() const { return !IndexIsConstant; }
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};
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} // End anonymous namespace.
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namespace {
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/// \brief A cache of SCEV results used to optimize repeated queries to SCEV on
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/// the same set of instructions.
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///
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/// The primary cost this saves is the cost of checking the validity of a SCEV
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/// every time it is looked up. However, in some cases we can provide a reduced
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/// and especially useful model for an instruction based upon SCEV that is
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/// non-trivial to compute but more useful to clients.
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class SCEVCache {
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public:
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/// \brief Struct to represent a GEP whose start and step are known fixed
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/// offsets from a base address due to SCEV's analysis.
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struct GEPDescriptor {
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Value *BaseAddr = nullptr;
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unsigned Start = 0;
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unsigned Step = 0;
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};
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Optional<GEPDescriptor> getGEPDescriptor(GetElementPtrInst *GEP);
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SCEVCache(const Loop &L, ScalarEvolution &SE) : L(L), SE(SE) {}
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private:
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const Loop &L;
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ScalarEvolution &SE;
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SmallDenseMap<GetElementPtrInst *, GEPDescriptor> GEPDescriptors;
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};
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} // End anonymous namespace.
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/// \brief Get a simplified descriptor for a GEP instruction.
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///
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/// Where possible, this produces a simplified descriptor for a GEP instruction
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/// using SCEV analysis of the containing loop. If this isn't possible, it
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/// returns an empty optional.
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///
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/// The model is a base address, an initial offset, and a per-iteration step.
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/// This fits very common patterns of GEPs inside loops and is something we can
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/// use to simulate the behavior of a particular iteration of a loop.
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///
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/// This is a cached interface. The first call may do non-trivial work to
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/// compute the result, but all subsequent calls will return a fast answer
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/// based on a cached result. This includes caching negative results.
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Optional<SCEVCache::GEPDescriptor>
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SCEVCache::getGEPDescriptor(GetElementPtrInst *GEP) {
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decltype(GEPDescriptors)::iterator It;
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bool Inserted;
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std::tie(It, Inserted) = GEPDescriptors.insert({GEP, {}});
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if (!Inserted) {
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if (!It->second.BaseAddr)
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return None;
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return It->second;
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}
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// We've inserted a new record into the cache, so compute the GEP descriptor
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// if possible.
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Value *V = cast<Value>(GEP);
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if (!SE.isSCEVable(V->getType()))
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return None;
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const SCEV *S = SE.getSCEV(V);
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// FIXME: It'd be nice if the worklist and set used by the
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// SCEVTraversal could be re-used between loop iterations, but the
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// interface doesn't support that. There is no way to clear the visited
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// sets between uses.
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FindConstantPointers Visitor(&L, SE);
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SCEVTraversal<FindConstantPointers> T(Visitor);
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// Try to find (BaseAddress+Step+Offset) tuple.
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// If succeeded, save it to the cache - it might help in folding
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// loads.
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T.visitAll(S);
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if (!Visitor.IndexIsConstant || !Visitor.BaseAddress)
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return None;
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const SCEV *BaseAddrSE = SE.getSCEV(Visitor.BaseAddress);
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if (BaseAddrSE->getType() != S->getType())
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return None;
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const SCEV *OffSE = SE.getMinusSCEV(S, BaseAddrSE);
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const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(OffSE);
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if (!AR)
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return None;
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const SCEVConstant *StepSE =
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dyn_cast<SCEVConstant>(AR->getStepRecurrence(SE));
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const SCEVConstant *StartSE = dyn_cast<SCEVConstant>(AR->getStart());
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if (!StepSE || !StartSE)
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return None;
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// Check and skip caching if doing so would require lots of bits to
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// avoid overflow.
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APInt Start = StartSE->getValue()->getValue();
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APInt Step = StepSE->getValue()->getValue();
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if (Start.getActiveBits() > 32 || Step.getActiveBits() > 32)
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return None;
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// We found a cacheable SCEV model for the GEP.
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It->second.BaseAddr = Visitor.BaseAddress;
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It->second.Start = Start.getLimitedValue();
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It->second.Step = Step.getLimitedValue();
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return It->second;
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}
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namespace {
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// This class is used to get an estimate of the optimization effects that we
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// could get from complete loop unrolling. It comes from the fact that some
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// loads might be replaced with concrete constant values and that could trigger
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// a chain of instruction simplifications.
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//
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// E.g. we might have:
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// int a[] = {0, 1, 0};
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// v = 0;
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// for (i = 0; i < 3; i ++)
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// v += b[i]*a[i];
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// If we completely unroll the loop, we would get:
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// v = b[0]*a[0] + b[1]*a[1] + b[2]*a[2]
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// Which then will be simplified to:
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// v = b[0]* 0 + b[1]* 1 + b[2]* 0
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// And finally:
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// v = b[1]
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class UnrolledInstAnalyzer : private InstVisitor<UnrolledInstAnalyzer, bool> {
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typedef InstVisitor<UnrolledInstAnalyzer, bool> Base;
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friend class InstVisitor<UnrolledInstAnalyzer, bool>;
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public:
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UnrolledInstAnalyzer(unsigned Iteration,
|
|
DenseMap<Value *, Constant *> &SimplifiedValues,
|
|
SCEVCache &SC)
|
|
: Iteration(Iteration), SimplifiedValues(SimplifiedValues), SC(SC) {}
|
|
|
|
// Allow access to the initial visit method.
|
|
using Base::visit;
|
|
|
|
private:
|
|
/// \brief Number of currently simulated iteration.
|
|
///
|
|
/// If an expression is ConstAddress+Constant, then the Constant is
|
|
/// Start + Iteration*Step, where Start and Step could be obtained from
|
|
/// SCEVGEPCache.
|
|
unsigned Iteration;
|
|
|
|
// While we walk the loop instructions, we we build up and maintain a mapping
|
|
// of simplified values specific to this iteration. The idea is to propagate
|
|
// any special information we have about loads that can be replaced with
|
|
// constants after complete unrolling, and account for likely simplifications
|
|
// post-unrolling.
|
|
DenseMap<Value *, Constant *> &SimplifiedValues;
|
|
|
|
// We use a cache to wrap all our SCEV queries.
|
|
SCEVCache &SC;
|
|
|
|
/// Base case for the instruction visitor.
|
|
bool visitInstruction(Instruction &I) { return false; };
|
|
|
|
/// TODO: Add visitors for other instruction types, e.g. ZExt, SExt.
|
|
|
|
/// Try to simplify binary operator I.
|
|
///
|
|
/// TODO: Probaly it's worth to hoist the code for estimating the
|
|
/// simplifications effects to a separate class, since we have a very similar
|
|
/// code in InlineCost already.
|
|
bool visitBinaryOperator(BinaryOperator &I) {
|
|
Value *LHS = I.getOperand(0), *RHS = I.getOperand(1);
|
|
if (!isa<Constant>(LHS))
|
|
if (Constant *SimpleLHS = SimplifiedValues.lookup(LHS))
|
|
LHS = SimpleLHS;
|
|
if (!isa<Constant>(RHS))
|
|
if (Constant *SimpleRHS = SimplifiedValues.lookup(RHS))
|
|
RHS = SimpleRHS;
|
|
Value *SimpleV = nullptr;
|
|
const DataLayout &DL = I.getModule()->getDataLayout();
|
|
if (auto FI = dyn_cast<FPMathOperator>(&I))
|
|
SimpleV =
|
|
SimplifyFPBinOp(I.getOpcode(), LHS, RHS, FI->getFastMathFlags(), DL);
|
|
else
|
|
SimpleV = SimplifyBinOp(I.getOpcode(), LHS, RHS, DL);
|
|
|
|
if (Constant *C = dyn_cast_or_null<Constant>(SimpleV))
|
|
SimplifiedValues[&I] = C;
|
|
|
|
return SimpleV;
|
|
}
|
|
|
|
/// Try to fold load I.
|
|
bool visitLoad(LoadInst &I) {
|
|
Value *AddrOp = I.getPointerOperand();
|
|
if (!isa<Constant>(AddrOp))
|
|
if (Constant *SimplifiedAddrOp = SimplifiedValues.lookup(AddrOp))
|
|
AddrOp = SimplifiedAddrOp;
|
|
|
|
auto *GEP = dyn_cast<GetElementPtrInst>(AddrOp);
|
|
if (!GEP)
|
|
return false;
|
|
auto OptionalGEPDesc = SC.getGEPDescriptor(GEP);
|
|
if (!OptionalGEPDesc)
|
|
return false;
|
|
|
|
auto GV = dyn_cast<GlobalVariable>(OptionalGEPDesc->BaseAddr);
|
|
// We're only interested in loads that can be completely folded to a
|
|
// constant.
|
|
if (!GV || !GV->hasInitializer())
|
|
return false;
|
|
|
|
ConstantDataSequential *CDS =
|
|
dyn_cast<ConstantDataSequential>(GV->getInitializer());
|
|
if (!CDS)
|
|
return false;
|
|
|
|
// This calculation should never overflow because we bound Iteration quite
|
|
// low and both the start and step are 32-bit integers. We use signed
|
|
// integers so that UBSan will catch if a bug sneaks into the code.
|
|
int ElemSize = CDS->getElementType()->getPrimitiveSizeInBits() / 8U;
|
|
int64_t Index = ((int64_t)OptionalGEPDesc->Start +
|
|
(int64_t)OptionalGEPDesc->Step * (int64_t)Iteration) /
|
|
ElemSize;
|
|
if (Index >= CDS->getNumElements()) {
|
|
// FIXME: For now we conservatively ignore out of bound accesses, but
|
|
// we're allowed to perform the optimization in this case.
|
|
return false;
|
|
}
|
|
|
|
Constant *CV = CDS->getElementAsConstant(Index);
|
|
assert(CV && "Constant expected.");
|
|
SimplifiedValues[&I] = CV;
|
|
|
|
return true;
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
|
|
namespace {
|
|
struct EstimatedUnrollCost {
|
|
/// \brief The estimated cost after unrolling.
|
|
unsigned UnrolledCost;
|
|
|
|
/// \brief The estimated dynamic cost of executing the instructions in the
|
|
/// rolled form.
|
|
unsigned RolledDynamicCost;
|
|
};
|
|
}
|
|
|
|
/// \brief Figure out if the loop is worth full unrolling.
|
|
///
|
|
/// Complete loop unrolling can make some loads constant, and we need to know
|
|
/// if that would expose any further optimization opportunities. This routine
|
|
/// estimates this optimization. It assigns computed number of instructions,
|
|
/// that potentially might be optimized away, to
|
|
/// NumberOfOptimizedInstructions, and total number of instructions to
|
|
/// UnrolledLoopSize (not counting blocks that won't be reached, if we were
|
|
/// able to compute the condition).
|
|
/// \returns false if we can't analyze the loop, or if we discovered that
|
|
/// unrolling won't give anything. Otherwise, returns true.
|
|
Optional<EstimatedUnrollCost>
|
|
analyzeLoopUnrollCost(const Loop *L, unsigned TripCount, ScalarEvolution &SE,
|
|
const TargetTransformInfo &TTI,
|
|
unsigned MaxUnrolledLoopSize) {
|
|
// We want to be able to scale offsets by the trip count and add more offsets
|
|
// to them without checking for overflows, and we already don't want to
|
|
// analyze *massive* trip counts, so we force the max to be reasonably small.
|
|
assert(UnrollMaxIterationsCountToAnalyze < (INT_MAX / 2) &&
|
|
"The unroll iterations max is too large!");
|
|
|
|
// Don't simulate loops with a big or unknown tripcount
|
|
if (!UnrollMaxIterationsCountToAnalyze || !TripCount ||
|
|
TripCount > UnrollMaxIterationsCountToAnalyze)
|
|
return None;
|
|
|
|
SmallSetVector<BasicBlock *, 16> BBWorklist;
|
|
DenseMap<Value *, Constant *> SimplifiedValues;
|
|
|
|
// Use a cache to access SCEV expressions so that we don't pay the cost on
|
|
// each iteration. This cache is lazily self-populating.
|
|
SCEVCache SC(*L, SE);
|
|
|
|
// The estimated cost of the unrolled form of the loop. We try to estimate
|
|
// this by simplifying as much as we can while computing the estimate.
|
|
unsigned UnrolledCost = 0;
|
|
// We also track the estimated dynamic (that is, actually executed) cost in
|
|
// the rolled form. This helps identify cases when the savings from unrolling
|
|
// aren't just exposing dead control flows, but actual reduced dynamic
|
|
// instructions due to the simplifications which we expect to occur after
|
|
// unrolling.
|
|
unsigned RolledDynamicCost = 0;
|
|
|
|
// Simulate execution of each iteration of the loop counting instructions,
|
|
// which would be simplified.
|
|
// Since the same load will take different values on different iterations,
|
|
// we literally have to go through all loop's iterations.
|
|
for (unsigned Iteration = 0; Iteration < TripCount; ++Iteration) {
|
|
SimplifiedValues.clear();
|
|
UnrolledInstAnalyzer Analyzer(Iteration, SimplifiedValues, SC);
|
|
|
|
BBWorklist.clear();
|
|
BBWorklist.insert(L->getHeader());
|
|
// Note that we *must not* cache the size, this loop grows the worklist.
|
|
for (unsigned Idx = 0; Idx != BBWorklist.size(); ++Idx) {
|
|
BasicBlock *BB = BBWorklist[Idx];
|
|
|
|
// Visit all instructions in the given basic block and try to simplify
|
|
// it. We don't change the actual IR, just count optimization
|
|
// opportunities.
|
|
for (Instruction &I : *BB) {
|
|
unsigned InstCost = TTI.getUserCost(&I);
|
|
|
|
// Visit the instruction to analyze its loop cost after unrolling,
|
|
// and if the visitor returns false, include this instruction in the
|
|
// unrolled cost.
|
|
if (!Analyzer.visit(I))
|
|
UnrolledCost += InstCost;
|
|
|
|
// Also track this instructions expected cost when executing the rolled
|
|
// loop form.
|
|
RolledDynamicCost += InstCost;
|
|
|
|
// If unrolled body turns out to be too big, bail out.
|
|
if (UnrolledCost > MaxUnrolledLoopSize)
|
|
return None;
|
|
}
|
|
|
|
// Add BB's successors to the worklist.
|
|
for (BasicBlock *Succ : successors(BB))
|
|
if (L->contains(Succ))
|
|
BBWorklist.insert(Succ);
|
|
}
|
|
|
|
// If we found no optimization opportunities on the first iteration, we
|
|
// won't find them on later ones too.
|
|
if (UnrolledCost == RolledDynamicCost)
|
|
return None;
|
|
}
|
|
return {{UnrolledCost, RolledDynamicCost}};
|
|
}
|
|
|
|
/// ApproximateLoopSize - Approximate the size of the loop.
|
|
static unsigned ApproximateLoopSize(const Loop *L, unsigned &NumCalls,
|
|
bool &NotDuplicatable,
|
|
const TargetTransformInfo &TTI,
|
|
AssumptionCache *AC) {
|
|
SmallPtrSet<const Value *, 32> EphValues;
|
|
CodeMetrics::collectEphemeralValues(L, AC, EphValues);
|
|
|
|
CodeMetrics Metrics;
|
|
for (Loop::block_iterator I = L->block_begin(), E = L->block_end();
|
|
I != E; ++I)
|
|
Metrics.analyzeBasicBlock(*I, TTI, EphValues);
|
|
NumCalls = Metrics.NumInlineCandidates;
|
|
NotDuplicatable = Metrics.notDuplicatable;
|
|
|
|
unsigned LoopSize = Metrics.NumInsts;
|
|
|
|
// Don't allow an estimate of size zero. This would allows unrolling of loops
|
|
// with huge iteration counts, which is a compile time problem even if it's
|
|
// not a problem for code quality. Also, the code using this size may assume
|
|
// that each loop has at least three instructions (likely a conditional
|
|
// branch, a comparison feeding that branch, and some kind of loop increment
|
|
// feeding that comparison instruction).
|
|
LoopSize = std::max(LoopSize, 3u);
|
|
|
|
return LoopSize;
|
|
}
|
|
|
|
// Returns the loop hint metadata node with the given name (for example,
|
|
// "llvm.loop.unroll.count"). If no such metadata node exists, then nullptr is
|
|
// returned.
|
|
static MDNode *GetUnrollMetadataForLoop(const Loop *L, StringRef Name) {
|
|
if (MDNode *LoopID = L->getLoopID())
|
|
return GetUnrollMetadata(LoopID, Name);
|
|
return nullptr;
|
|
}
|
|
|
|
// Returns true if the loop has an unroll(full) pragma.
|
|
static bool HasUnrollFullPragma(const Loop *L) {
|
|
return GetUnrollMetadataForLoop(L, "llvm.loop.unroll.full");
|
|
}
|
|
|
|
// Returns true if the loop has an unroll(disable) pragma.
|
|
static bool HasUnrollDisablePragma(const Loop *L) {
|
|
return GetUnrollMetadataForLoop(L, "llvm.loop.unroll.disable");
|
|
}
|
|
|
|
// Returns true if the loop has an runtime unroll(disable) pragma.
|
|
static bool HasRuntimeUnrollDisablePragma(const Loop *L) {
|
|
return GetUnrollMetadataForLoop(L, "llvm.loop.unroll.runtime.disable");
|
|
}
|
|
|
|
// If loop has an unroll_count pragma return the (necessarily
|
|
// positive) value from the pragma. Otherwise return 0.
|
|
static unsigned UnrollCountPragmaValue(const Loop *L) {
|
|
MDNode *MD = GetUnrollMetadataForLoop(L, "llvm.loop.unroll.count");
|
|
if (MD) {
|
|
assert(MD->getNumOperands() == 2 &&
|
|
"Unroll count hint metadata should have two operands.");
|
|
unsigned Count =
|
|
mdconst::extract<ConstantInt>(MD->getOperand(1))->getZExtValue();
|
|
assert(Count >= 1 && "Unroll count must be positive.");
|
|
return Count;
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
// Remove existing unroll metadata and add unroll disable metadata to
|
|
// indicate the loop has already been unrolled. This prevents a loop
|
|
// from being unrolled more than is directed by a pragma if the loop
|
|
// unrolling pass is run more than once (which it generally is).
|
|
static void SetLoopAlreadyUnrolled(Loop *L) {
|
|
MDNode *LoopID = L->getLoopID();
|
|
if (!LoopID) return;
|
|
|
|
// First remove any existing loop unrolling metadata.
|
|
SmallVector<Metadata *, 4> MDs;
|
|
// Reserve first location for self reference to the LoopID metadata node.
|
|
MDs.push_back(nullptr);
|
|
for (unsigned i = 1, ie = LoopID->getNumOperands(); i < ie; ++i) {
|
|
bool IsUnrollMetadata = false;
|
|
MDNode *MD = dyn_cast<MDNode>(LoopID->getOperand(i));
|
|
if (MD) {
|
|
const MDString *S = dyn_cast<MDString>(MD->getOperand(0));
|
|
IsUnrollMetadata = S && S->getString().startswith("llvm.loop.unroll.");
|
|
}
|
|
if (!IsUnrollMetadata)
|
|
MDs.push_back(LoopID->getOperand(i));
|
|
}
|
|
|
|
// Add unroll(disable) metadata to disable future unrolling.
|
|
LLVMContext &Context = L->getHeader()->getContext();
|
|
SmallVector<Metadata *, 1> DisableOperands;
|
|
DisableOperands.push_back(MDString::get(Context, "llvm.loop.unroll.disable"));
|
|
MDNode *DisableNode = MDNode::get(Context, DisableOperands);
|
|
MDs.push_back(DisableNode);
|
|
|
|
MDNode *NewLoopID = MDNode::get(Context, MDs);
|
|
// Set operand 0 to refer to the loop id itself.
|
|
NewLoopID->replaceOperandWith(0, NewLoopID);
|
|
L->setLoopID(NewLoopID);
|
|
}
|
|
|
|
bool LoopUnroll::canUnrollCompletely(Loop *L, unsigned Threshold,
|
|
unsigned PercentDynamicCostSavedThreshold,
|
|
unsigned DynamicCostSavingsDiscount,
|
|
uint64_t UnrolledCost,
|
|
uint64_t RolledDynamicCost) {
|
|
|
|
if (Threshold == NoThreshold) {
|
|
DEBUG(dbgs() << " Can fully unroll, because no threshold is set.\n");
|
|
return true;
|
|
}
|
|
|
|
if (UnrolledCost <= Threshold) {
|
|
DEBUG(dbgs() << " Can fully unroll, because unrolled cost: "
|
|
<< UnrolledCost << "<" << Threshold << "\n");
|
|
return true;
|
|
}
|
|
|
|
assert(UnrolledCost && "UnrolledCost can't be 0 at this point.");
|
|
assert(RolledDynamicCost >= UnrolledCost &&
|
|
"Cannot have a higher unrolled cost than a rolled cost!");
|
|
|
|
// Compute the percentage of the dynamic cost in the rolled form that is
|
|
// saved when unrolled. If unrolling dramatically reduces the estimated
|
|
// dynamic cost of the loop, we use a higher threshold to allow more
|
|
// unrolling.
|
|
unsigned PercentDynamicCostSaved =
|
|
(uint64_t)(RolledDynamicCost - UnrolledCost) * 100ull / RolledDynamicCost;
|
|
|
|
if (PercentDynamicCostSaved >= PercentDynamicCostSavedThreshold &&
|
|
(int64_t)UnrolledCost - (int64_t)DynamicCostSavingsDiscount <=
|
|
(int64_t)Threshold) {
|
|
DEBUG(dbgs() << " Can fully unroll, because unrolling will reduce the "
|
|
"expected dynamic cost by " << PercentDynamicCostSaved
|
|
<< "% (threshold: " << PercentDynamicCostSavedThreshold
|
|
<< "%)\n"
|
|
<< " and the unrolled cost (" << UnrolledCost
|
|
<< ") is less than the max threshold ("
|
|
<< DynamicCostSavingsDiscount << ").\n");
|
|
return true;
|
|
}
|
|
|
|
DEBUG(dbgs() << " Too large to fully unroll:\n");
|
|
DEBUG(dbgs() << " Threshold: " << Threshold << "\n");
|
|
DEBUG(dbgs() << " Max threshold: " << DynamicCostSavingsDiscount << "\n");
|
|
DEBUG(dbgs() << " Percent cost saved threshold: "
|
|
<< PercentDynamicCostSavedThreshold << "%\n");
|
|
DEBUG(dbgs() << " Unrolled cost: " << UnrolledCost << "\n");
|
|
DEBUG(dbgs() << " Rolled dynamic cost: " << RolledDynamicCost << "\n");
|
|
DEBUG(dbgs() << " Percent cost saved: " << PercentDynamicCostSaved
|
|
<< "\n");
|
|
return false;
|
|
}
|
|
|
|
unsigned LoopUnroll::selectUnrollCount(
|
|
const Loop *L, unsigned TripCount, bool PragmaFullUnroll,
|
|
unsigned PragmaCount, const TargetTransformInfo::UnrollingPreferences &UP,
|
|
bool &SetExplicitly) {
|
|
SetExplicitly = true;
|
|
|
|
// User-specified count (either as a command-line option or
|
|
// constructor parameter) has highest precedence.
|
|
unsigned Count = UserCount ? CurrentCount : 0;
|
|
|
|
// If there is no user-specified count, unroll pragmas have the next
|
|
// highest precendence.
|
|
if (Count == 0) {
|
|
if (PragmaCount) {
|
|
Count = PragmaCount;
|
|
} else if (PragmaFullUnroll) {
|
|
Count = TripCount;
|
|
}
|
|
}
|
|
|
|
if (Count == 0)
|
|
Count = UP.Count;
|
|
|
|
if (Count == 0) {
|
|
SetExplicitly = false;
|
|
if (TripCount == 0)
|
|
// Runtime trip count.
|
|
Count = UnrollRuntimeCount;
|
|
else
|
|
// Conservative heuristic: if we know the trip count, see if we can
|
|
// completely unroll (subject to the threshold, checked below); otherwise
|
|
// try to find greatest modulo of the trip count which is still under
|
|
// threshold value.
|
|
Count = TripCount;
|
|
}
|
|
if (TripCount && Count > TripCount)
|
|
return TripCount;
|
|
return Count;
|
|
}
|
|
|
|
bool LoopUnroll::runOnLoop(Loop *L, LPPassManager &LPM) {
|
|
if (skipOptnoneFunction(L))
|
|
return false;
|
|
|
|
Function &F = *L->getHeader()->getParent();
|
|
|
|
LoopInfo *LI = &getAnalysis<LoopInfoWrapperPass>().getLoopInfo();
|
|
ScalarEvolution *SE = &getAnalysis<ScalarEvolution>();
|
|
const TargetTransformInfo &TTI =
|
|
getAnalysis<TargetTransformInfoWrapperPass>().getTTI(F);
|
|
auto &AC = getAnalysis<AssumptionCacheTracker>().getAssumptionCache(F);
|
|
|
|
BasicBlock *Header = L->getHeader();
|
|
DEBUG(dbgs() << "Loop Unroll: F[" << Header->getParent()->getName()
|
|
<< "] Loop %" << Header->getName() << "\n");
|
|
|
|
if (HasUnrollDisablePragma(L)) {
|
|
return false;
|
|
}
|
|
bool PragmaFullUnroll = HasUnrollFullPragma(L);
|
|
unsigned PragmaCount = UnrollCountPragmaValue(L);
|
|
bool HasPragma = PragmaFullUnroll || PragmaCount > 0;
|
|
|
|
TargetTransformInfo::UnrollingPreferences UP;
|
|
getUnrollingPreferences(L, TTI, UP);
|
|
|
|
// Find trip count and trip multiple if count is not available
|
|
unsigned TripCount = 0;
|
|
unsigned TripMultiple = 1;
|
|
// If there are multiple exiting blocks but one of them is the latch, use the
|
|
// latch for the trip count estimation. Otherwise insist on a single exiting
|
|
// block for the trip count estimation.
|
|
BasicBlock *ExitingBlock = L->getLoopLatch();
|
|
if (!ExitingBlock || !L->isLoopExiting(ExitingBlock))
|
|
ExitingBlock = L->getExitingBlock();
|
|
if (ExitingBlock) {
|
|
TripCount = SE->getSmallConstantTripCount(L, ExitingBlock);
|
|
TripMultiple = SE->getSmallConstantTripMultiple(L, ExitingBlock);
|
|
}
|
|
|
|
// Select an initial unroll count. This may be reduced later based
|
|
// on size thresholds.
|
|
bool CountSetExplicitly;
|
|
unsigned Count = selectUnrollCount(L, TripCount, PragmaFullUnroll,
|
|
PragmaCount, UP, CountSetExplicitly);
|
|
|
|
unsigned NumInlineCandidates;
|
|
bool notDuplicatable;
|
|
unsigned LoopSize =
|
|
ApproximateLoopSize(L, NumInlineCandidates, notDuplicatable, TTI, &AC);
|
|
DEBUG(dbgs() << " Loop Size = " << LoopSize << "\n");
|
|
|
|
// When computing the unrolled size, note that the conditional branch on the
|
|
// backedge and the comparison feeding it are not replicated like the rest of
|
|
// the loop body (which is why 2 is subtracted).
|
|
uint64_t UnrolledSize = (uint64_t)(LoopSize-2) * Count + 2;
|
|
if (notDuplicatable) {
|
|
DEBUG(dbgs() << " Not unrolling loop which contains non-duplicatable"
|
|
<< " instructions.\n");
|
|
return false;
|
|
}
|
|
if (NumInlineCandidates != 0) {
|
|
DEBUG(dbgs() << " Not unrolling loop with inlinable calls.\n");
|
|
return false;
|
|
}
|
|
|
|
unsigned Threshold, PartialThreshold;
|
|
unsigned PercentDynamicCostSavedThreshold;
|
|
unsigned DynamicCostSavingsDiscount;
|
|
selectThresholds(L, HasPragma, UP, Threshold, PartialThreshold,
|
|
PercentDynamicCostSavedThreshold,
|
|
DynamicCostSavingsDiscount);
|
|
|
|
// Given Count, TripCount and thresholds determine the type of
|
|
// unrolling which is to be performed.
|
|
enum { Full = 0, Partial = 1, Runtime = 2 };
|
|
int Unrolling;
|
|
if (TripCount && Count == TripCount) {
|
|
Unrolling = Partial;
|
|
// If the loop is really small, we don't need to run an expensive analysis.
|
|
if (canUnrollCompletely(L, Threshold, 100, DynamicCostSavingsDiscount,
|
|
UnrolledSize, UnrolledSize)) {
|
|
Unrolling = Full;
|
|
} else {
|
|
// The loop isn't that small, but we still can fully unroll it if that
|
|
// helps to remove a significant number of instructions.
|
|
// To check that, run additional analysis on the loop.
|
|
if (Optional<EstimatedUnrollCost> Cost = analyzeLoopUnrollCost(
|
|
L, TripCount, *SE, TTI, Threshold + DynamicCostSavingsDiscount))
|
|
if (canUnrollCompletely(L, Threshold, PercentDynamicCostSavedThreshold,
|
|
DynamicCostSavingsDiscount, Cost->UnrolledCost,
|
|
Cost->RolledDynamicCost)) {
|
|
Unrolling = Full;
|
|
}
|
|
}
|
|
} else if (TripCount && Count < TripCount) {
|
|
Unrolling = Partial;
|
|
} else {
|
|
Unrolling = Runtime;
|
|
}
|
|
|
|
// Reduce count based on the type of unrolling and the threshold values.
|
|
unsigned OriginalCount = Count;
|
|
bool AllowRuntime = UserRuntime ? CurrentRuntime : UP.Runtime;
|
|
if (HasRuntimeUnrollDisablePragma(L)) {
|
|
AllowRuntime = false;
|
|
}
|
|
if (Unrolling == Partial) {
|
|
bool AllowPartial = UserAllowPartial ? CurrentAllowPartial : UP.Partial;
|
|
if (!AllowPartial && !CountSetExplicitly) {
|
|
DEBUG(dbgs() << " will not try to unroll partially because "
|
|
<< "-unroll-allow-partial not given\n");
|
|
return false;
|
|
}
|
|
if (PartialThreshold != NoThreshold && UnrolledSize > PartialThreshold) {
|
|
// Reduce unroll count to be modulo of TripCount for partial unrolling.
|
|
Count = (std::max(PartialThreshold, 3u)-2) / (LoopSize-2);
|
|
while (Count != 0 && TripCount % Count != 0)
|
|
Count--;
|
|
}
|
|
} else if (Unrolling == Runtime) {
|
|
if (!AllowRuntime && !CountSetExplicitly) {
|
|
DEBUG(dbgs() << " will not try to unroll loop with runtime trip count "
|
|
<< "-unroll-runtime not given\n");
|
|
return false;
|
|
}
|
|
// Reduce unroll count to be the largest power-of-two factor of
|
|
// the original count which satisfies the threshold limit.
|
|
while (Count != 0 && UnrolledSize > PartialThreshold) {
|
|
Count >>= 1;
|
|
UnrolledSize = (LoopSize-2) * Count + 2;
|
|
}
|
|
if (Count > UP.MaxCount)
|
|
Count = UP.MaxCount;
|
|
DEBUG(dbgs() << " partially unrolling with count: " << Count << "\n");
|
|
}
|
|
|
|
if (HasPragma) {
|
|
if (PragmaCount != 0)
|
|
// If loop has an unroll count pragma mark loop as unrolled to prevent
|
|
// unrolling beyond that requested by the pragma.
|
|
SetLoopAlreadyUnrolled(L);
|
|
|
|
// Emit optimization remarks if we are unable to unroll the loop
|
|
// as directed by a pragma.
|
|
DebugLoc LoopLoc = L->getStartLoc();
|
|
Function *F = Header->getParent();
|
|
LLVMContext &Ctx = F->getContext();
|
|
if (PragmaFullUnroll && PragmaCount == 0) {
|
|
if (TripCount && Count != TripCount) {
|
|
emitOptimizationRemarkMissed(
|
|
Ctx, DEBUG_TYPE, *F, LoopLoc,
|
|
"Unable to fully unroll loop as directed by unroll(full) pragma "
|
|
"because unrolled size is too large.");
|
|
} else if (!TripCount) {
|
|
emitOptimizationRemarkMissed(
|
|
Ctx, DEBUG_TYPE, *F, LoopLoc,
|
|
"Unable to fully unroll loop as directed by unroll(full) pragma "
|
|
"because loop has a runtime trip count.");
|
|
}
|
|
} else if (PragmaCount > 0 && Count != OriginalCount) {
|
|
emitOptimizationRemarkMissed(
|
|
Ctx, DEBUG_TYPE, *F, LoopLoc,
|
|
"Unable to unroll loop the number of times directed by "
|
|
"unroll_count pragma because unrolled size is too large.");
|
|
}
|
|
}
|
|
|
|
if (Unrolling != Full && Count < 2) {
|
|
// Partial unrolling by 1 is a nop. For full unrolling, a factor
|
|
// of 1 makes sense because loop control can be eliminated.
|
|
return false;
|
|
}
|
|
|
|
// Unroll the loop.
|
|
if (!UnrollLoop(L, Count, TripCount, AllowRuntime, UP.AllowExpensiveTripCount,
|
|
TripMultiple, LI, this, &LPM, &AC))
|
|
return false;
|
|
|
|
return true;
|
|
}
|