| //===- DAGISelEmitter.cpp - Generate an instruction selector --------------===// | |
| // | |
| // The LLVM Compiler Infrastructure | |
| // | |
| // This file is distributed under the University of Illinois Open Source | |
| // License. See LICENSE.TXT for details. | |
| // | |
| //===----------------------------------------------------------------------===// | |
| // | |
| // This tablegen backend emits a DAG instruction selector. | |
| // | |
| //===----------------------------------------------------------------------===// | |
| #include "DAGISelEmitter.h" | |
| #include "DAGISelMatcher.h" | |
| #include "llvm/TableGen/Record.h" | |
| #include "llvm/Support/Debug.h" | |
| using namespace llvm; | |
| //===----------------------------------------------------------------------===// | |
| // DAGISelEmitter Helper methods | |
| // | |
| /// getResultPatternCost - Compute the number of instructions for this pattern. | |
| /// This is a temporary hack. We should really include the instruction | |
| /// latencies in this calculation. | |
| static unsigned getResultPatternCost(TreePatternNode *P, | |
| CodeGenDAGPatterns &CGP) { | |
| if (P->isLeaf()) return 0; | |
| unsigned Cost = 0; | |
| Record *Op = P->getOperator(); | |
| if (Op->isSubClassOf("Instruction")) { | |
| Cost++; | |
| CodeGenInstruction &II = CGP.getTargetInfo().getInstruction(Op); | |
| if (II.usesCustomInserter) | |
| Cost += 10; | |
| } | |
| for (unsigned i = 0, e = P->getNumChildren(); i != e; ++i) | |
| Cost += getResultPatternCost(P->getChild(i), CGP); | |
| return Cost; | |
| } | |
| /// getResultPatternCodeSize - Compute the code size of instructions for this | |
| /// pattern. | |
| static unsigned getResultPatternSize(TreePatternNode *P, | |
| CodeGenDAGPatterns &CGP) { | |
| if (P->isLeaf()) return 0; | |
| unsigned Cost = 0; | |
| Record *Op = P->getOperator(); | |
| if (Op->isSubClassOf("Instruction")) { | |
| Cost += Op->getValueAsInt("CodeSize"); | |
| } | |
| for (unsigned i = 0, e = P->getNumChildren(); i != e; ++i) | |
| Cost += getResultPatternSize(P->getChild(i), CGP); | |
| return Cost; | |
| } | |
| namespace { | |
| // PatternSortingPredicate - return true if we prefer to match LHS before RHS. | |
| // In particular, we want to match maximal patterns first and lowest cost within | |
| // a particular complexity first. | |
| struct PatternSortingPredicate { | |
| PatternSortingPredicate(CodeGenDAGPatterns &cgp) : CGP(cgp) {} | |
| CodeGenDAGPatterns &CGP; | |
| bool operator()(const PatternToMatch *LHS, const PatternToMatch *RHS) { | |
| const TreePatternNode *LHSSrc = LHS->getSrcPattern(); | |
| const TreePatternNode *RHSSrc = RHS->getSrcPattern(); | |
| if (LHSSrc->getNumTypes() != 0 && RHSSrc->getNumTypes() != 0 && | |
| LHSSrc->getType(0) != RHSSrc->getType(0)) { | |
| MVT::SimpleValueType V1 = LHSSrc->getType(0), V2 = RHSSrc->getType(0); | |
| if (MVT(V1).isVector() != MVT(V2).isVector()) | |
| return MVT(V2).isVector(); | |
| if (MVT(V1).isFloatingPoint() != MVT(V2).isFloatingPoint()) | |
| return MVT(V2).isFloatingPoint(); | |
| } | |
| // Otherwise, if the patterns might both match, sort based on complexity, | |
| // which means that we prefer to match patterns that cover more nodes in the | |
| // input over nodes that cover fewer. | |
| unsigned LHSSize = LHS->getPatternComplexity(CGP); | |
| unsigned RHSSize = RHS->getPatternComplexity(CGP); | |
| if (LHSSize > RHSSize) return true; // LHS -> bigger -> less cost | |
| if (LHSSize < RHSSize) return false; | |
| // If the patterns have equal complexity, compare generated instruction cost | |
| unsigned LHSCost = getResultPatternCost(LHS->getDstPattern(), CGP); | |
| unsigned RHSCost = getResultPatternCost(RHS->getDstPattern(), CGP); | |
| if (LHSCost < RHSCost) return true; | |
| if (LHSCost > RHSCost) return false; | |
| unsigned LHSPatSize = getResultPatternSize(LHS->getDstPattern(), CGP); | |
| unsigned RHSPatSize = getResultPatternSize(RHS->getDstPattern(), CGP); | |
| if (LHSPatSize < RHSPatSize) return true; | |
| if (LHSPatSize > RHSPatSize) return false; | |
| // Sort based on the UID of the pattern, giving us a deterministic ordering | |
| // if all other sorting conditions fail. | |
| assert(LHS == RHS || LHS->ID != RHS->ID); | |
| return LHS->ID < RHS->ID; | |
| } | |
| }; | |
| } | |
| void DAGISelEmitter::run(raw_ostream &OS) { | |
| EmitSourceFileHeader("DAG Instruction Selector for the " + | |
| CGP.getTargetInfo().getName() + " target", OS); | |
| OS << "// *** NOTE: This file is #included into the middle of the target\n" | |
| << "// *** instruction selector class. These functions are really " | |
| << "methods.\n\n"; | |
| DEBUG(errs() << "\n\nALL PATTERNS TO MATCH:\n\n"; | |
| for (CodeGenDAGPatterns::ptm_iterator I = CGP.ptm_begin(), | |
| E = CGP.ptm_end(); I != E; ++I) { | |
| errs() << "PATTERN: "; I->getSrcPattern()->dump(); | |
| errs() << "\nRESULT: "; I->getDstPattern()->dump(); | |
| errs() << "\n"; | |
| }); | |
| // Add all the patterns to a temporary list so we can sort them. | |
| std::vector<const PatternToMatch*> Patterns; | |
| for (CodeGenDAGPatterns::ptm_iterator I = CGP.ptm_begin(), E = CGP.ptm_end(); | |
| I != E; ++I) | |
| Patterns.push_back(&*I); | |
| // We want to process the matches in order of minimal cost. Sort the patterns | |
| // so the least cost one is at the start. | |
| std::sort(Patterns.begin(), Patterns.end(), PatternSortingPredicate(CGP)); | |
| // Convert each variant of each pattern into a Matcher. | |
| std::vector<Matcher*> PatternMatchers; | |
| for (unsigned i = 0, e = Patterns.size(); i != e; ++i) { | |
| for (unsigned Variant = 0; ; ++Variant) { | |
| if (Matcher *M = ConvertPatternToMatcher(*Patterns[i], Variant, CGP)) | |
| PatternMatchers.push_back(M); | |
| else | |
| break; | |
| } | |
| } | |
| Matcher *TheMatcher = new ScopeMatcher(&PatternMatchers[0], | |
| PatternMatchers.size()); | |
| TheMatcher = OptimizeMatcher(TheMatcher, CGP); | |
| //Matcher->dump(); | |
| EmitMatcherTable(TheMatcher, CGP, OS); | |
| delete TheMatcher; | |
| } |