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Split code not specific to Function inlining out into a separate class,
named CodeMetrics. Move it to be a non-nested class. Rename RegionInfo back to FunctionInfo. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@84013 91177308-0d34-0410-b5e6-96231b3b80d8
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@ -28,6 +28,40 @@ namespace llvm {
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template<class PtrType, unsigned SmallSize>
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class SmallPtrSet;
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// CodeMetrics - Calculate size and a few similar metrics for a set of
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// basic blocks.
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struct CodeMetrics {
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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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/// NumRets - Keep track of how many Ret instructions the block contains.
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unsigned NumRets;
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CodeMetrics() : NeverInline(false), usesDynamicAlloca(false), NumInsts(0),
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NumBlocks(0), NumVectorInsts(0), NumRets(0) {}
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/// analyzeBasicBlock - Add information about the specified basic block
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/// to the current structure.
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void analyzeBasicBlock(const BasicBlock *BB);
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/// analyzeFunction - Add information about the specified function
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/// to the current structure.
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void analyzeFunction(Function *F);
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};
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namespace InlineConstants {
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// Various magic constants used to adjust heuristics.
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const int CallPenalty = 5;
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@ -97,58 +131,32 @@ namespace llvm {
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: ConstantWeight(CWeight), AllocaWeight(AWeight) {}
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};
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// RegionInfo - Calculate size and a few related metrics for a set of
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// basic blocks.
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struct RegionInfo {
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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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/// NumRets - Keep track of how many Ret instructions the block contains.
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unsigned NumRets;
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struct FunctionInfo {
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CodeMetrics Metrics;
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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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RegionInfo() : NeverInline(false), usesDynamicAlloca(false), NumInsts(0),
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NumBlocks(0), NumVectorInsts(0), NumRets(0) {}
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/// analyzeBasicBlock - Add information about the specified basic block
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/// to the current structure.
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void analyzeBasicBlock(const BasicBlock *BB);
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/// analyzeFunction - Add information about the specified function
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/// to the current structure.
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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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/// analyzeFunction - Add information about the specified function
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/// to the current structure.
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void analyzeFunction(Function *F);
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};
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std::map<const Function *, RegionInfo> CachedFunctionInfo;
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std::map<const Function *, FunctionInfo> CachedFunctionInfo;
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public:
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@ -164,7 +172,7 @@ namespace llvm {
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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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CachedFunctionInfo[Caller].Metrics.NumBlocks = 0;
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}
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};
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}
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@ -21,7 +21,7 @@ using namespace llvm;
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// CountCodeReductionForConstant - Figure out an approximation for how many
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// instructions will be constant folded if the specified value is constant.
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//
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unsigned InlineCostAnalyzer::RegionInfo::
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unsigned InlineCostAnalyzer::FunctionInfo::
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CountCodeReductionForConstant(Value *V) {
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unsigned Reduction = 0;
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for (Value::use_iterator UI = V->use_begin(), E = V->use_end(); UI != E; ++UI)
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@ -77,7 +77,7 @@ unsigned InlineCostAnalyzer::RegionInfo::
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// the function will be if it is inlined into a context where an argument
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// becomes an alloca.
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//
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unsigned InlineCostAnalyzer::RegionInfo::
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unsigned InlineCostAnalyzer::FunctionInfo::
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CountCodeReductionForAlloca(Value *V) {
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if (!isa<PointerType>(V->getType())) return 0; // Not a pointer
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unsigned Reduction = 0;
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@ -101,7 +101,7 @@ unsigned InlineCostAnalyzer::RegionInfo::
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/// analyzeBasicBlock - Fill in the current structure with information gleaned
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/// from the specified block.
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void InlineCostAnalyzer::RegionInfo::analyzeBasicBlock(const BasicBlock *BB) {
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void CodeMetrics::analyzeBasicBlock(const BasicBlock *BB) {
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++NumBlocks;
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for (BasicBlock::const_iterator II = BB->begin(), E = BB->end();
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@ -166,17 +166,22 @@ void InlineCostAnalyzer::RegionInfo::analyzeBasicBlock(const BasicBlock *BB) {
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/// analyzeFunction - Fill in the current structure with information gleaned
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/// from the specified function.
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void InlineCostAnalyzer::RegionInfo::analyzeFunction(Function *F) {
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// Look at the size of the callee. Each basic block counts as 20 units, and
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// each instruction counts as 5.
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void CodeMetrics::analyzeFunction(Function *F) {
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// Look at the size of the callee.
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for (Function::const_iterator BB = F->begin(), E = F->end(); BB != E; ++BB)
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analyzeBasicBlock(&*BB);
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}
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/// analyzeFunction - Fill in the current structure with information gleaned
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/// from the specified function.
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void InlineCostAnalyzer::FunctionInfo::analyzeFunction(Function *F) {
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Metrics.analyzeFunction(F);
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// A function with exactly one return has it removed during the inlining
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// process (see InlineFunction), so don't count it.
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// FIXME: This knowledge should really be encoded outside of RegionInfo.
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if (NumRets==1)
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--NumInsts;
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// FIXME: This knowledge should really be encoded outside of FunctionInfo.
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if (Metrics.NumRets==1)
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--Metrics.NumInsts;
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// Check out all of the arguments to the function, figuring out how much
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// code can be eliminated if one of the arguments is a constant.
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@ -185,8 +190,6 @@ void InlineCostAnalyzer::RegionInfo::analyzeFunction(Function *F) {
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CountCodeReductionForAlloca(I)));
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}
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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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@ -229,35 +232,35 @@ InlineCost InlineCostAnalyzer::getInlineCost(CallSite CS,
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InlineCost += InlineConstants::NoreturnPenalty;
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// Get information about the callee...
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RegionInfo &CalleeFI = CachedFunctionInfo[Callee];
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FunctionInfo &CalleeFI = CachedFunctionInfo[Callee];
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// If we haven't calculated this information yet, do so now.
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if (CalleeFI.NumBlocks == 0)
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if (CalleeFI.Metrics.NumBlocks == 0)
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CalleeFI.analyzeFunction(Callee);
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// If we should never inline this, return a huge cost.
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if (CalleeFI.NeverInline)
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if (CalleeFI.Metrics.NeverInline)
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return InlineCost::getNever();
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// FIXME: It would be nice to kill off CalleeFI.NeverInline. Then we
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// could move this up and avoid computing the RegionInfo for
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// could move this up and avoid computing the FunctionInfo for
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// things we are going to just return always inline for. This
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// requires handling setjmp somewhere else, however.
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if (!Callee->isDeclaration() && Callee->hasFnAttr(Attribute::AlwaysInline))
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return InlineCost::getAlways();
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if (CalleeFI.usesDynamicAlloca) {
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if (CalleeFI.Metrics.usesDynamicAlloca) {
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// Get infomation about the caller...
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RegionInfo &CallerFI = CachedFunctionInfo[Caller];
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FunctionInfo &CallerFI = CachedFunctionInfo[Caller];
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// If we haven't calculated this information yet, do so now.
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if (CallerFI.NumBlocks == 0)
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if (CallerFI.Metrics.NumBlocks == 0)
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CallerFI.analyzeFunction(Caller);
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// Don't inline a callee with dynamic alloca into a caller without them.
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// Functions containing dynamic alloca's are inefficient in various ways;
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// don't create more inefficiency.
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if (!CallerFI.usesDynamicAlloca)
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if (!CallerFI.Metrics.usesDynamicAlloca)
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return InlineCost::getNever();
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}
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@ -305,7 +308,7 @@ InlineCost InlineCostAnalyzer::getInlineCost(CallSite CS,
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InlineCost += Caller->size()/15;
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// Look at the size of the callee. Each instruction counts as 5.
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InlineCost += CalleeFI.NumInsts*5;
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InlineCost += CalleeFI.Metrics.NumInsts*5;
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return llvm::InlineCost::get(InlineCost);
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}
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@ -316,22 +319,22 @@ float InlineCostAnalyzer::getInlineFudgeFactor(CallSite CS) {
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Function *Callee = CS.getCalledFunction();
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// Get information about the callee...
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RegionInfo &CalleeFI = CachedFunctionInfo[Callee];
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FunctionInfo &CalleeFI = CachedFunctionInfo[Callee];
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// If we haven't calculated this information yet, do so now.
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if (CalleeFI.NumBlocks == 0)
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if (CalleeFI.Metrics.NumBlocks == 0)
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CalleeFI.analyzeFunction(Callee);
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float Factor = 1.0f;
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// Single BB functions are often written to be inlined.
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if (CalleeFI.NumBlocks == 1)
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if (CalleeFI.Metrics.NumBlocks == 1)
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Factor += 0.5f;
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// Be more aggressive if the function contains a good chunk (if it mades up
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// at least 10% of the instructions) of vector instructions.
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if (CalleeFI.NumVectorInsts > CalleeFI.NumInsts/2)
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if (CalleeFI.Metrics.NumVectorInsts > CalleeFI.Metrics.NumInsts/2)
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Factor += 2.0f;
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else if (CalleeFI.NumVectorInsts > CalleeFI.NumInsts/10)
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else if (CalleeFI.Metrics.NumVectorInsts > CalleeFI.Metrics.NumInsts/10)
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Factor += 1.5f;
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return Factor;
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}
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