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c7548fce48
CodeGenRegister entries. Use this information to more intelligently build the literal register entires in the DAGISel matcher table. Specifically, use a single-byte OPC_EmitRegister entry for registers with a value of less than 256 and OPC_EmitRegister2 entry for registers with a larger value. rdar://9066491 llvm-svn: 127456
156 lines
5.7 KiB
C++
156 lines
5.7 KiB
C++
//===- DAGISelEmitter.cpp - Generate an instruction selector --------------===//
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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 tablegen backend emits a DAG instruction selector.
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//
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//===----------------------------------------------------------------------===//
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#include "DAGISelEmitter.h"
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#include "DAGISelMatcher.h"
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#include "Record.h"
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#include "llvm/Support/Debug.h"
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using namespace llvm;
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//===----------------------------------------------------------------------===//
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// DAGISelEmitter Helper methods
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//
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/// getResultPatternCost - Compute the number of instructions for this pattern.
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/// This is a temporary hack. We should really include the instruction
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/// latencies in this calculation.
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static unsigned getResultPatternCost(TreePatternNode *P,
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CodeGenDAGPatterns &CGP) {
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if (P->isLeaf()) return 0;
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unsigned Cost = 0;
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Record *Op = P->getOperator();
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if (Op->isSubClassOf("Instruction")) {
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Cost++;
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CodeGenInstruction &II = CGP.getTargetInfo().getInstruction(Op);
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if (II.usesCustomInserter)
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Cost += 10;
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}
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for (unsigned i = 0, e = P->getNumChildren(); i != e; ++i)
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Cost += getResultPatternCost(P->getChild(i), CGP);
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return Cost;
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}
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/// getResultPatternCodeSize - Compute the code size of instructions for this
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/// pattern.
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static unsigned getResultPatternSize(TreePatternNode *P,
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CodeGenDAGPatterns &CGP) {
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if (P->isLeaf()) return 0;
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unsigned Cost = 0;
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Record *Op = P->getOperator();
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if (Op->isSubClassOf("Instruction")) {
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Cost += Op->getValueAsInt("CodeSize");
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}
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for (unsigned i = 0, e = P->getNumChildren(); i != e; ++i)
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Cost += getResultPatternSize(P->getChild(i), CGP);
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return Cost;
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}
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namespace {
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// PatternSortingPredicate - return true if we prefer to match LHS before RHS.
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// In particular, we want to match maximal patterns first and lowest cost within
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// a particular complexity first.
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struct PatternSortingPredicate {
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PatternSortingPredicate(CodeGenDAGPatterns &cgp) : CGP(cgp) {}
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CodeGenDAGPatterns &CGP;
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bool operator()(const PatternToMatch *LHS, const PatternToMatch *RHS) {
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const TreePatternNode *LHSSrc = LHS->getSrcPattern();
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const TreePatternNode *RHSSrc = RHS->getSrcPattern();
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if (LHSSrc->getNumTypes() != 0 && RHSSrc->getNumTypes() != 0 &&
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LHSSrc->getType(0) != RHSSrc->getType(0)) {
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MVT::SimpleValueType V1 = LHSSrc->getType(0), V2 = RHSSrc->getType(0);
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if (MVT(V1).isVector() != MVT(V2).isVector())
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return MVT(V2).isVector();
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if (MVT(V1).isFloatingPoint() != MVT(V2).isFloatingPoint())
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return MVT(V2).isFloatingPoint();
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}
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// Otherwise, if the patterns might both match, sort based on complexity,
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// which means that we prefer to match patterns that cover more nodes in the
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// input over nodes that cover fewer.
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unsigned LHSSize = LHS->getPatternComplexity(CGP);
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unsigned RHSSize = RHS->getPatternComplexity(CGP);
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if (LHSSize > RHSSize) return true; // LHS -> bigger -> less cost
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if (LHSSize < RHSSize) return false;
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// If the patterns have equal complexity, compare generated instruction cost
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unsigned LHSCost = getResultPatternCost(LHS->getDstPattern(), CGP);
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unsigned RHSCost = getResultPatternCost(RHS->getDstPattern(), CGP);
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if (LHSCost < RHSCost) return true;
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if (LHSCost > RHSCost) return false;
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unsigned LHSPatSize = getResultPatternSize(LHS->getDstPattern(), CGP);
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unsigned RHSPatSize = getResultPatternSize(RHS->getDstPattern(), CGP);
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if (LHSPatSize < RHSPatSize) return true;
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if (LHSPatSize > RHSPatSize) return false;
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// Sort based on the UID of the pattern, giving us a deterministic ordering
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// if all other sorting conditions fail.
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assert(LHS == RHS || LHS->ID != RHS->ID);
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return LHS->ID < RHS->ID;
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}
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};
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}
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void DAGISelEmitter::run(raw_ostream &OS) {
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EmitSourceFileHeader("DAG Instruction Selector for the " +
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CGP.getTargetInfo().getName() + " target", OS);
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OS << "// *** NOTE: This file is #included into the middle of the target\n"
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<< "// *** instruction selector class. These functions are really "
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<< "methods.\n\n";
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DEBUG(errs() << "\n\nALL PATTERNS TO MATCH:\n\n";
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for (CodeGenDAGPatterns::ptm_iterator I = CGP.ptm_begin(),
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E = CGP.ptm_end(); I != E; ++I) {
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errs() << "PATTERN: "; I->getSrcPattern()->dump();
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errs() << "\nRESULT: "; I->getDstPattern()->dump();
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errs() << "\n";
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});
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// Add all the patterns to a temporary list so we can sort them.
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std::vector<const PatternToMatch*> Patterns;
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for (CodeGenDAGPatterns::ptm_iterator I = CGP.ptm_begin(), E = CGP.ptm_end();
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I != E; ++I)
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Patterns.push_back(&*I);
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// We want to process the matches in order of minimal cost. Sort the patterns
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// so the least cost one is at the start.
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std::sort(Patterns.begin(), Patterns.end(), PatternSortingPredicate(CGP));
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// Convert each variant of each pattern into a Matcher.
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std::vector<Matcher*> PatternMatchers;
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for (unsigned i = 0, e = Patterns.size(); i != e; ++i) {
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for (unsigned Variant = 0; ; ++Variant) {
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if (Matcher *M = ConvertPatternToMatcher(*Patterns[i], Variant, CGP))
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PatternMatchers.push_back(M);
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else
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break;
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}
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}
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Matcher *TheMatcher = new ScopeMatcher(&PatternMatchers[0],
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PatternMatchers.size());
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TheMatcher = OptimizeMatcher(TheMatcher, CGP);
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//Matcher->dump();
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EmitMatcherTable(TheMatcher, CGP, OS);
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delete TheMatcher;
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}
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