forked from OSchip/llvm-project
Fix a slew of indentation and parameter naming style issues. This 80% of
this patch brought to you by the tool clang-format. I wanted to fix up the names of constructor parameters because they followed a bit of an anti-pattern by naming initialisms with CamelCase: 'Tti', 'Se', etc. This appears to have been in an attempt to not overlap with the names of member variables 'TTI', 'SE', etc. However, constructor arguments can very safely alias members, and in fact that's the conventional way to pass in members. I've fixed all of these I saw, along with making some strang abbreviations such as 'Lp' be simpler 'L', or 'Lgl' be the word 'Legal'. However, the code I was touching had indentation and formatting somewhat all over the map. So I ran clang-format and fixed them. I also fixed a few other formatting or doxygen formatting issues such as using ///< on trailing comments so they are associated with the correct entry. There is still a lot of room for improvement of the formating and cleanliness of this code. ;] At least a few parts of the coding standards or common practices in LLVM's code aren't followed, the enum naming rules jumped out at me. I may mix some of these while I'm here, but not all of them. llvm-svn: 171719
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@ -94,13 +94,12 @@ class TargetTransformInfo;
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/// and reduction variables that were found to a given vectorization factor.
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class InnerLoopVectorizer {
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public:
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/// Ctor.
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InnerLoopVectorizer(Loop *Orig, ScalarEvolution *Se, LoopInfo *Li,
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DominatorTree *Dt, DataLayout *Dl,
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unsigned VecWidth, unsigned UnrollFactor):
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OrigLoop(Orig), SE(Se), LI(Li), DT(Dt), DL(Dl), VF(VecWidth),
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UF(UnrollFactor), Builder(Se->getContext()), Induction(0), OldInduction(0),
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WidenMap(UnrollFactor) { }
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InnerLoopVectorizer(Loop *OrigLoop, ScalarEvolution *SE, LoopInfo *LI,
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DominatorTree *DT, DataLayout *DL, unsigned VecWidth,
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unsigned UnrollFactor)
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: OrigLoop(OrigLoop), SE(SE), LI(LI), DT(DT), DL(DL), VF(VecWidth),
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UF(UnrollFactor), Builder(SE->getContext()), Induction(0),
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OldInduction(0), WidenMap(UnrollFactor) {}
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// Perform the actual loop widening (vectorization).
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void vectorize(LoopVectorizationLegality *Legal) {
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@ -273,37 +272,35 @@ private:
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/// induction variable and the different reduction variables.
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class LoopVectorizationLegality {
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public:
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LoopVectorizationLegality(Loop *Lp, ScalarEvolution *Se, DataLayout *Dl,
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DominatorTree *Dt):
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TheLoop(Lp), SE(Se), DL(Dl), DT(Dt), Induction(0) { }
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LoopVectorizationLegality(Loop *L, ScalarEvolution *SE, DataLayout *DL,
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DominatorTree *DT)
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: TheLoop(L), SE(SE), DL(DL), DT(DT), Induction(0) {}
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/// This enum represents the kinds of reductions that we support.
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enum ReductionKind {
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NoReduction, /// Not a reduction.
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IntegerAdd, /// Sum of numbers.
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IntegerMult, /// Product of numbers.
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IntegerOr, /// Bitwise or logical OR of numbers.
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IntegerAnd, /// Bitwise or logical AND of numbers.
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IntegerXor /// Bitwise or logical XOR of numbers.
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NoReduction, ///< Not a reduction.
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IntegerAdd, ///< Sum of numbers.
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IntegerMult, ///< Product of numbers.
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IntegerOr, ///< Bitwise or logical OR of numbers.
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IntegerAnd, ///< Bitwise or logical AND of numbers.
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IntegerXor ///< Bitwise or logical XOR of numbers.
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};
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/// This enum represents the kinds of inductions that we support.
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enum InductionKind {
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NoInduction, /// Not an induction variable.
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IntInduction, /// Integer induction variable. Step = 1.
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ReverseIntInduction, /// Reverse int induction variable. Step = -1.
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PtrInduction /// Pointer induction variable. Step = sizeof(elem).
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NoInduction, ///< Not an induction variable.
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IntInduction, ///< Integer induction variable. Step = 1.
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ReverseIntInduction, ///< Reverse int induction variable. Step = -1.
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PtrInduction ///< Pointer induction variable. Step = sizeof(elem).
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};
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/// This POD struct holds information about reduction variables.
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struct ReductionDescriptor {
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// Default C'tor
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ReductionDescriptor():
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StartValue(0), LoopExitInstr(0), Kind(NoReduction) {}
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ReductionDescriptor() : StartValue(0), LoopExitInstr(0), Kind(NoReduction) {
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}
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// C'tor.
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ReductionDescriptor(Value *Start, Instruction *Exit, ReductionKind K):
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StartValue(Start), LoopExitInstr(Exit), Kind(K) {}
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ReductionDescriptor(Value *Start, Instruction *Exit, ReductionKind K)
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: StartValue(Start), LoopExitInstr(Exit), Kind(K) {}
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// The starting value of the reduction.
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// It does not have to be zero!
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@ -342,10 +339,8 @@ public:
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/// A POD for saving information about induction variables.
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struct InductionInfo {
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/// Ctors.
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InductionInfo(Value *Start, InductionKind K):
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StartValue(Start), IK(K) {};
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InductionInfo(): StartValue(0), IK(NoInduction) {};
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InductionInfo(Value *Start, InductionKind K) : StartValue(Start), IK(K) {}
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InductionInfo() : StartValue(0), IK(NoInduction) {}
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/// Start value.
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Value *StartValue;
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/// Induction kind.
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@ -475,11 +470,10 @@ private:
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/// different operations.
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class LoopVectorizationCostModel {
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public:
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/// C'tor.
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LoopVectorizationCostModel(Loop *Lp, ScalarEvolution *Se, LoopInfo *Li,
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LoopVectorizationLegality *Leg,
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const TargetTransformInfo *Tti):
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TheLoop(Lp), SE(Se), LI(Li), Legal(Leg), TTI(Tti) { }
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LoopVectorizationCostModel(Loop *L, ScalarEvolution *SE, LoopInfo *LI,
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LoopVectorizationLegality *Legal,
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const TargetTransformInfo *TTI)
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: TheLoop(L), SE(SE), LI(LI), Legal(Legal), TTI(TTI) {}
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/// \return The most profitable vectorization factor.
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/// This method checks every power of two up to VF. If UserVF is not ZERO
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