mirror of
https://github.com/c64scene-ar/llvm-6502.git
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2cacec55f9
changing the primary datastructure from being a "std::vector<unsigned char>" to being a new TypeSet class that actually has (gasp) invariants! This changes more things than I remember, but one major innovation here is that it enforces that named input values agree in type with their output values. This also eliminates code that transparently assumes (in some cases) that SDNodeXForm input/output types are the same, because this is wrong in many case. This also eliminates a bug which caused a lot of ambiguous patterns to go undetected, where a register class would sometimes pick the first possible type, causing an ambiguous pattern to get arbitrary results. With all the recent target changes, this causes no functionality change! git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@98534 91177308-0d34-0410-b5e6-96231b3b80d8
234 lines
8.5 KiB
C++
234 lines
8.5 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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/// getPatternSize - Return the 'size' of this pattern. We want to match large
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/// patterns before small ones. This is used to determine the size of a
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/// pattern.
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static unsigned getPatternSize(TreePatternNode *P, CodeGenDAGPatterns &CGP) {
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assert(P->hasTypeSet() && "Not a valid pattern node to size!");
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unsigned Size = 3; // The node itself.
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// If the root node is a ConstantSDNode, increases its size.
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// e.g. (set R32:$dst, 0).
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if (P->isLeaf() && dynamic_cast<IntInit*>(P->getLeafValue()))
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Size += 2;
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// FIXME: This is a hack to statically increase the priority of patterns
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// which maps a sub-dag to a complex pattern. e.g. favors LEA over ADD.
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// Later we can allow complexity / cost for each pattern to be (optionally)
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// specified. To get best possible pattern match we'll need to dynamically
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// calculate the complexity of all patterns a dag can potentially map to.
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const ComplexPattern *AM = P->getComplexPatternInfo(CGP);
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if (AM)
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Size += AM->getNumOperands() * 3;
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// If this node has some predicate function that must match, it adds to the
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// complexity of this node.
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if (!P->getPredicateFns().empty())
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++Size;
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// Count children in the count if they are also nodes.
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for (unsigned i = 0, e = P->getNumChildren(); i != e; ++i) {
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TreePatternNode *Child = P->getChild(i);
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if (!Child->isLeaf() && Child->getType() != MVT::Other)
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Size += getPatternSize(Child, CGP);
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else if (Child->isLeaf()) {
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if (dynamic_cast<IntInit*>(Child->getLeafValue()))
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Size += 5; // Matches a ConstantSDNode (+3) and a specific value (+2).
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else if (Child->getComplexPatternInfo(CGP))
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Size += getPatternSize(Child, CGP);
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else if (!Child->getPredicateFns().empty())
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++Size;
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}
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}
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return Size;
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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->getName());
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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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//===----------------------------------------------------------------------===//
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// Predicate emitter implementation.
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//
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void DAGISelEmitter::EmitPredicateFunctions(raw_ostream &OS) {
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OS << "\n// Predicate functions.\n";
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// Walk the pattern fragments, adding them to a map, which sorts them by
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// name.
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typedef std::map<std::string, std::pair<Record*, TreePattern*> > PFsByNameTy;
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PFsByNameTy PFsByName;
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for (CodeGenDAGPatterns::pf_iterator I = CGP.pf_begin(), E = CGP.pf_end();
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I != E; ++I)
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PFsByName.insert(std::make_pair(I->first->getName(), *I));
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for (PFsByNameTy::iterator I = PFsByName.begin(), E = PFsByName.end();
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I != E; ++I) {
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Record *PatFragRecord = I->second.first;// Record that derives from PatFrag.
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TreePattern *P = I->second.second;
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// If there is a code init for this fragment, emit the predicate code.
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std::string Code = PatFragRecord->getValueAsCode("Predicate");
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if (Code.empty()) continue;
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if (P->getOnlyTree()->isLeaf())
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OS << "inline bool Predicate_" << PatFragRecord->getName()
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<< "(SDNode *N) const {\n";
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else {
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std::string ClassName =
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CGP.getSDNodeInfo(P->getOnlyTree()->getOperator()).getSDClassName();
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const char *C2 = ClassName == "SDNode" ? "N" : "inN";
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OS << "inline bool Predicate_" << PatFragRecord->getName()
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<< "(SDNode *" << C2 << ") const {\n";
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if (ClassName != "SDNode")
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OS << " " << ClassName << " *N = cast<" << ClassName << ">(inN);\n";
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}
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OS << Code << "\n}\n";
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}
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OS << "\n\n";
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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,
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const PatternToMatch *RHS) {
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unsigned LHSSize = getPatternSize(LHS->getSrcPattern(), CGP);
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unsigned RHSSize = getPatternSize(RHS->getSrcPattern(), CGP);
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LHSSize += LHS->getAddedComplexity();
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RHSSize += RHS->getAddedComplexity();
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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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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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// FIXME: These are being used by hand written code, gross.
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EmitPredicateFunctions(OS);
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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::stable_sort(Patterns.begin(), Patterns.end(),
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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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