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	64 bit platforms when building with optimization. So replace them by a hand-coded implementation. This fixes PR3822. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@69597 91177308-0d34-0410-b5e6-96231b3b80d8
		
			
				
	
	
		
			156 lines
		
	
	
		
			5.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			156 lines
		
	
	
		
			5.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
//===- InlineCost.cpp - Cost analysis for inliner ---------------*- C++ -*-===//
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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 file implements heuristics for inlining decisions.
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//
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//===----------------------------------------------------------------------===//
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#ifndef LLVM_TRANSFORMS_UTILS_INLINECOST_H
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#define LLVM_TRANSFORMS_UTILS_INLINECOST_H
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#include "llvm/ADT/SmallPtrSet.h"
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#include <cassert>
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#include <climits>
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#include <map>
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#include <vector>
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namespace llvm {
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  class Value;
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  class Function;
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  class CallSite;
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  /// InlineCost - Represent the cost of inlining a function. This
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  /// supports special values for functions which should "always" or
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  /// "never" be inlined. Otherwise, the cost represents a unitless
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  /// amount; smaller values increase the likelyhood of the function
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  /// being inlined.
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  class InlineCost {
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    enum Kind {
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      Value,
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      Always,
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      Never
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    };
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    // This is a do-it-yourself implementation of
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    //   int Cost : 30;
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    //   unsigned Type : 2;
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    // We used to use bitfields, but they were sometimes miscompiled (PR3822).
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    enum { TYPE_BITS = 2 };
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    enum { COST_BITS = unsigned(sizeof(unsigned)) * CHAR_BIT - TYPE_BITS };
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    unsigned TypedCost; // int Cost : COST_BITS; unsigned Type : TYPE_BITS;
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    Kind getType() const {
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      return Kind(TypedCost >> COST_BITS);
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    }
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    int getCost() const {
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      // Sign-extend the bottom COST_BITS bits.
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      return (int(TypedCost << TYPE_BITS)) >> TYPE_BITS;
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    }
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    InlineCost(int C, int T) {
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      TypedCost = (unsigned(C << TYPE_BITS) >> TYPE_BITS) | (T << COST_BITS);
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      assert(getCost() == C && "Cost exceeds InlineCost precision");
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    }
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  public:
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    static InlineCost get(int Cost) { return InlineCost(Cost, Value); }
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    static InlineCost getAlways() { return InlineCost(0, Always); }
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    static InlineCost getNever() { return InlineCost(0, Never); }
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    bool isVariable() const { return getType() == Value; }
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    bool isAlways() const { return getType() == Always; }
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    bool isNever() const { return getType() == Never; }
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    /// getValue() - Return a "variable" inline cost's amount. It is
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    /// an error to call this on an "always" or "never" InlineCost.
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    int getValue() const {
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      assert(getType() == Value && "Invalid access of InlineCost");
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      return getCost();
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    }
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  };
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  /// InlineCostAnalyzer - Cost analyzer used by inliner.
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  class InlineCostAnalyzer {
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    struct ArgInfo {
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    public:
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      unsigned ConstantWeight;
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      unsigned AllocaWeight;
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      ArgInfo(unsigned CWeight, unsigned AWeight)
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        : ConstantWeight(CWeight), AllocaWeight(AWeight) {}
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    };
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    // FunctionInfo - For each function, calculate the size of it in blocks and
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    // instructions.
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    struct FunctionInfo {
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      /// NeverInline - True if this callee should never be inlined into a
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      /// caller.
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      bool NeverInline;
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      /// usesDynamicAlloca - True if this function calls alloca (in the C sense).
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      bool usesDynamicAlloca;
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      /// NumInsts, NumBlocks - Keep track of how large each function is, which
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      /// is used to estimate the code size cost of inlining it.
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      unsigned NumInsts, NumBlocks;
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      /// NumVectorInsts - Keep track of how many instructions produce vector
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      /// values.  The inliner is being more aggressive with inlining vector
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      /// kernels.
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      unsigned NumVectorInsts;
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      /// ArgumentWeights - Each formal argument of the function is inspected to
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      /// see if it is used in any contexts where making it a constant or alloca
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      /// would reduce the code size.  If so, we add some value to the argument
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      /// entry here.
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      std::vector<ArgInfo> ArgumentWeights;
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      FunctionInfo() : NeverInline(false), usesDynamicAlloca(false), NumInsts(0),
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                       NumBlocks(0), NumVectorInsts(0) {}
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      /// analyzeFunction - Fill in the current structure with information
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      /// gleaned from the specified function.
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      void analyzeFunction(Function *F);
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      /// CountCodeReductionForConstant - Figure out an approximation for how
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      /// many instructions will be constant folded if the specified value is
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      /// constant.
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      unsigned CountCodeReductionForConstant(Value *V);
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      /// CountCodeReductionForAlloca - Figure out an approximation of how much
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      /// smaller the function will be if it is inlined into a context where an
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      /// argument becomes an alloca.
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      ///
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      unsigned CountCodeReductionForAlloca(Value *V);
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    };
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    std::map<const Function *, FunctionInfo> CachedFunctionInfo;
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  public:
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    /// getInlineCost - The heuristic used to determine if we should inline the
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    /// function call or not.
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    ///
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    InlineCost getInlineCost(CallSite CS,
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                             SmallPtrSet<const Function *, 16> &NeverInline);
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    /// getInlineFudgeFactor - Return a > 1.0 factor if the inliner should use a
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    /// higher threshold to determine if the function call should be inlined.
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    float getInlineFudgeFactor(CallSite CS);
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    /// resetCachedFunctionInfo - erase any cached cost info for this function.
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    void resetCachedCostInfo(Function* Caller) {
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      CachedFunctionInfo[Caller].NumBlocks = 0;
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    }
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  };
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}
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#endif
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