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Initial Commit
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537
thirdparty/capstone/suite/synctools/tablegen/include/llvm/CodeGen/RegAllocPBQP.h
vendored
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537
thirdparty/capstone/suite/synctools/tablegen/include/llvm/CodeGen/RegAllocPBQP.h
vendored
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@@ -0,0 +1,537 @@
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//===- RegAllocPBQP.h -------------------------------------------*- C++ -*-===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// This file defines the PBQPBuilder interface, for classes which build PBQP
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// instances to represent register allocation problems, and the RegAllocPBQP
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// interface.
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//
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//===----------------------------------------------------------------------===//
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#ifndef LLVM_CODEGEN_REGALLOCPBQP_H
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#define LLVM_CODEGEN_REGALLOCPBQP_H
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#include "llvm/ADT/DenseMap.h"
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#include "llvm/ADT/Hashing.h"
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#include "llvm/CodeGen/PBQP/CostAllocator.h"
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#include "llvm/CodeGen/PBQP/Graph.h"
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#include "llvm/CodeGen/PBQP/Math.h"
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#include "llvm/CodeGen/PBQP/ReductionRules.h"
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#include "llvm/CodeGen/PBQP/Solution.h"
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#include "llvm/CodeGen/Register.h"
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#include "llvm/MC/MCRegister.h"
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#include "llvm/Support/ErrorHandling.h"
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#include <algorithm>
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#include <cassert>
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#include <cstddef>
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#include <limits>
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#include <memory>
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#include <set>
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#include <vector>
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namespace llvm {
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class FunctionPass;
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class LiveIntervals;
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class MachineBlockFrequencyInfo;
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class MachineFunction;
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class raw_ostream;
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namespace PBQP {
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namespace RegAlloc {
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/// Spill option index.
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inline unsigned getSpillOptionIdx() { return 0; }
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/// Metadata to speed allocatability test.
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///
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/// Keeps track of the number of infinities in each row and column.
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class MatrixMetadata {
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public:
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MatrixMetadata(const Matrix& M)
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: UnsafeRows(new bool[M.getRows() - 1]()),
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UnsafeCols(new bool[M.getCols() - 1]()) {
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unsigned* ColCounts = new unsigned[M.getCols() - 1]();
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|
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for (unsigned i = 1; i < M.getRows(); ++i) {
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unsigned RowCount = 0;
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for (unsigned j = 1; j < M.getCols(); ++j) {
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if (M[i][j] == std::numeric_limits<PBQPNum>::infinity()) {
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++RowCount;
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++ColCounts[j - 1];
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UnsafeRows[i - 1] = true;
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UnsafeCols[j - 1] = true;
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}
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}
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WorstRow = std::max(WorstRow, RowCount);
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}
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unsigned WorstColCountForCurRow =
|
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*std::max_element(ColCounts, ColCounts + M.getCols() - 1);
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WorstCol = std::max(WorstCol, WorstColCountForCurRow);
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delete[] ColCounts;
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}
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MatrixMetadata(const MatrixMetadata &) = delete;
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MatrixMetadata &operator=(const MatrixMetadata &) = delete;
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unsigned getWorstRow() const { return WorstRow; }
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unsigned getWorstCol() const { return WorstCol; }
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const bool* getUnsafeRows() const { return UnsafeRows.get(); }
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const bool* getUnsafeCols() const { return UnsafeCols.get(); }
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private:
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unsigned WorstRow = 0;
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unsigned WorstCol = 0;
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std::unique_ptr<bool[]> UnsafeRows;
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std::unique_ptr<bool[]> UnsafeCols;
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};
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/// Holds a vector of the allowed physical regs for a vreg.
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class AllowedRegVector {
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friend hash_code hash_value(const AllowedRegVector &);
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public:
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AllowedRegVector() = default;
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||||
AllowedRegVector(AllowedRegVector &&) = default;
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AllowedRegVector(const std::vector<MCRegister> &OptVec)
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: NumOpts(OptVec.size()), Opts(new MCRegister[NumOpts]) {
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std::copy(OptVec.begin(), OptVec.end(), Opts.get());
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||||
}
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unsigned size() const { return NumOpts; }
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||||
MCRegister operator[](size_t I) const { return Opts[I]; }
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bool operator==(const AllowedRegVector &Other) const {
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if (NumOpts != Other.NumOpts)
|
||||
return false;
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||||
return std::equal(Opts.get(), Opts.get() + NumOpts, Other.Opts.get());
|
||||
}
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bool operator!=(const AllowedRegVector &Other) const {
|
||||
return !(*this == Other);
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||||
}
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||||
private:
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unsigned NumOpts = 0;
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std::unique_ptr<MCRegister[]> Opts;
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};
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inline hash_code hash_value(const AllowedRegVector &OptRegs) {
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MCRegister *OStart = OptRegs.Opts.get();
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||||
MCRegister *OEnd = OptRegs.Opts.get() + OptRegs.NumOpts;
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return hash_combine(OptRegs.NumOpts,
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hash_combine_range(OStart, OEnd));
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}
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||||
|
||||
/// Holds graph-level metadata relevant to PBQP RA problems.
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class GraphMetadata {
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private:
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using AllowedRegVecPool = ValuePool<AllowedRegVector>;
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public:
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using AllowedRegVecRef = AllowedRegVecPool::PoolRef;
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GraphMetadata(MachineFunction &MF,
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LiveIntervals &LIS,
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MachineBlockFrequencyInfo &MBFI)
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: MF(MF), LIS(LIS), MBFI(MBFI) {}
|
||||
|
||||
MachineFunction &MF;
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LiveIntervals &LIS;
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||||
MachineBlockFrequencyInfo &MBFI;
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void setNodeIdForVReg(Register VReg, GraphBase::NodeId NId) {
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VRegToNodeId[VReg.id()] = NId;
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}
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GraphBase::NodeId getNodeIdForVReg(Register VReg) const {
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auto VRegItr = VRegToNodeId.find(VReg);
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if (VRegItr == VRegToNodeId.end())
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return GraphBase::invalidNodeId();
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return VRegItr->second;
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}
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AllowedRegVecRef getAllowedRegs(AllowedRegVector Allowed) {
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return AllowedRegVecs.getValue(std::move(Allowed));
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||||
}
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||||
|
||||
private:
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||||
DenseMap<Register, GraphBase::NodeId> VRegToNodeId;
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||||
AllowedRegVecPool AllowedRegVecs;
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};
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||||
/// Holds solver state and other metadata relevant to each PBQP RA node.
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class NodeMetadata {
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||||
public:
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using AllowedRegVector = RegAlloc::AllowedRegVector;
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||||
|
||||
// The node's reduction state. The order in this enum is important,
|
||||
// as it is assumed nodes can only progress up (i.e. towards being
|
||||
// optimally reducible) when reducing the graph.
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using ReductionState = enum {
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||||
Unprocessed,
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||||
NotProvablyAllocatable,
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ConservativelyAllocatable,
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OptimallyReducible
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||||
};
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||||
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NodeMetadata() = default;
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||||
|
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NodeMetadata(const NodeMetadata &Other)
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: RS(Other.RS), NumOpts(Other.NumOpts), DeniedOpts(Other.DeniedOpts),
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OptUnsafeEdges(new unsigned[NumOpts]), VReg(Other.VReg),
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AllowedRegs(Other.AllowedRegs)
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||||
#ifndef NDEBUG
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, everConservativelyAllocatable(Other.everConservativelyAllocatable)
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||||
#endif
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{
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if (NumOpts > 0) {
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||||
std::copy(&Other.OptUnsafeEdges[0], &Other.OptUnsafeEdges[NumOpts],
|
||||
&OptUnsafeEdges[0]);
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}
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||||
}
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||||
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||||
NodeMetadata(NodeMetadata &&) = default;
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||||
NodeMetadata& operator=(NodeMetadata &&) = default;
|
||||
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void setVReg(Register VReg) { this->VReg = VReg; }
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||||
Register getVReg() const { return VReg; }
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||||
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void setAllowedRegs(GraphMetadata::AllowedRegVecRef AllowedRegs) {
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||||
this->AllowedRegs = std::move(AllowedRegs);
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||||
}
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||||
const AllowedRegVector& getAllowedRegs() const { return *AllowedRegs; }
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void setup(const Vector& Costs) {
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NumOpts = Costs.getLength() - 1;
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OptUnsafeEdges = std::unique_ptr<unsigned[]>(new unsigned[NumOpts]());
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}
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||||
|
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ReductionState getReductionState() const { return RS; }
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void setReductionState(ReductionState RS) {
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assert(RS >= this->RS && "A node's reduction state can not be downgraded");
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this->RS = RS;
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#ifndef NDEBUG
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// Remember this state to assert later that a non-infinite register
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// option was available.
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if (RS == ConservativelyAllocatable)
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everConservativelyAllocatable = true;
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#endif
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}
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void handleAddEdge(const MatrixMetadata& MD, bool Transpose) {
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DeniedOpts += Transpose ? MD.getWorstRow() : MD.getWorstCol();
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const bool* UnsafeOpts =
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Transpose ? MD.getUnsafeCols() : MD.getUnsafeRows();
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for (unsigned i = 0; i < NumOpts; ++i)
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OptUnsafeEdges[i] += UnsafeOpts[i];
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}
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void handleRemoveEdge(const MatrixMetadata& MD, bool Transpose) {
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DeniedOpts -= Transpose ? MD.getWorstRow() : MD.getWorstCol();
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const bool* UnsafeOpts =
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Transpose ? MD.getUnsafeCols() : MD.getUnsafeRows();
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for (unsigned i = 0; i < NumOpts; ++i)
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OptUnsafeEdges[i] -= UnsafeOpts[i];
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}
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bool isConservativelyAllocatable() const {
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return (DeniedOpts < NumOpts) ||
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(std::find(&OptUnsafeEdges[0], &OptUnsafeEdges[NumOpts], 0) !=
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&OptUnsafeEdges[NumOpts]);
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}
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#ifndef NDEBUG
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bool wasConservativelyAllocatable() const {
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return everConservativelyAllocatable;
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}
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#endif
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private:
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ReductionState RS = Unprocessed;
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unsigned NumOpts = 0;
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unsigned DeniedOpts = 0;
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std::unique_ptr<unsigned[]> OptUnsafeEdges;
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Register VReg;
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GraphMetadata::AllowedRegVecRef AllowedRegs;
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#ifndef NDEBUG
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bool everConservativelyAllocatable = false;
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#endif
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};
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class RegAllocSolverImpl {
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private:
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using RAMatrix = MDMatrix<MatrixMetadata>;
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public:
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using RawVector = PBQP::Vector;
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using RawMatrix = PBQP::Matrix;
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using Vector = PBQP::Vector;
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using Matrix = RAMatrix;
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using CostAllocator = PBQP::PoolCostAllocator<Vector, Matrix>;
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using NodeId = GraphBase::NodeId;
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using EdgeId = GraphBase::EdgeId;
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using NodeMetadata = RegAlloc::NodeMetadata;
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struct EdgeMetadata {};
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using GraphMetadata = RegAlloc::GraphMetadata;
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using Graph = PBQP::Graph<RegAllocSolverImpl>;
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RegAllocSolverImpl(Graph &G) : G(G) {}
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Solution solve() {
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G.setSolver(*this);
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Solution S;
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setup();
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S = backpropagate(G, reduce());
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G.unsetSolver();
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return S;
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}
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void handleAddNode(NodeId NId) {
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||||
assert(G.getNodeCosts(NId).getLength() > 1 &&
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||||
"PBQP Graph should not contain single or zero-option nodes");
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G.getNodeMetadata(NId).setup(G.getNodeCosts(NId));
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||||
}
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||||
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||||
void handleRemoveNode(NodeId NId) {}
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||||
void handleSetNodeCosts(NodeId NId, const Vector& newCosts) {}
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||||
|
||||
void handleAddEdge(EdgeId EId) {
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handleReconnectEdge(EId, G.getEdgeNode1Id(EId));
|
||||
handleReconnectEdge(EId, G.getEdgeNode2Id(EId));
|
||||
}
|
||||
|
||||
void handleDisconnectEdge(EdgeId EId, NodeId NId) {
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||||
NodeMetadata& NMd = G.getNodeMetadata(NId);
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const MatrixMetadata& MMd = G.getEdgeCosts(EId).getMetadata();
|
||||
NMd.handleRemoveEdge(MMd, NId == G.getEdgeNode2Id(EId));
|
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promote(NId, NMd);
|
||||
}
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||||
|
||||
void handleReconnectEdge(EdgeId EId, NodeId NId) {
|
||||
NodeMetadata& NMd = G.getNodeMetadata(NId);
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||||
const MatrixMetadata& MMd = G.getEdgeCosts(EId).getMetadata();
|
||||
NMd.handleAddEdge(MMd, NId == G.getEdgeNode2Id(EId));
|
||||
}
|
||||
|
||||
void handleUpdateCosts(EdgeId EId, const Matrix& NewCosts) {
|
||||
NodeId N1Id = G.getEdgeNode1Id(EId);
|
||||
NodeId N2Id = G.getEdgeNode2Id(EId);
|
||||
NodeMetadata& N1Md = G.getNodeMetadata(N1Id);
|
||||
NodeMetadata& N2Md = G.getNodeMetadata(N2Id);
|
||||
bool Transpose = N1Id != G.getEdgeNode1Id(EId);
|
||||
|
||||
// Metadata are computed incrementally. First, update them
|
||||
// by removing the old cost.
|
||||
const MatrixMetadata& OldMMd = G.getEdgeCosts(EId).getMetadata();
|
||||
N1Md.handleRemoveEdge(OldMMd, Transpose);
|
||||
N2Md.handleRemoveEdge(OldMMd, !Transpose);
|
||||
|
||||
// And update now the metadata with the new cost.
|
||||
const MatrixMetadata& MMd = NewCosts.getMetadata();
|
||||
N1Md.handleAddEdge(MMd, Transpose);
|
||||
N2Md.handleAddEdge(MMd, !Transpose);
|
||||
|
||||
// As the metadata may have changed with the update, the nodes may have
|
||||
// become ConservativelyAllocatable or OptimallyReducible.
|
||||
promote(N1Id, N1Md);
|
||||
promote(N2Id, N2Md);
|
||||
}
|
||||
|
||||
private:
|
||||
void promote(NodeId NId, NodeMetadata& NMd) {
|
||||
if (G.getNodeDegree(NId) == 3) {
|
||||
// This node is becoming optimally reducible.
|
||||
moveToOptimallyReducibleNodes(NId);
|
||||
} else if (NMd.getReductionState() ==
|
||||
NodeMetadata::NotProvablyAllocatable &&
|
||||
NMd.isConservativelyAllocatable()) {
|
||||
// This node just became conservatively allocatable.
|
||||
moveToConservativelyAllocatableNodes(NId);
|
||||
}
|
||||
}
|
||||
|
||||
void removeFromCurrentSet(NodeId NId) {
|
||||
switch (G.getNodeMetadata(NId).getReductionState()) {
|
||||
case NodeMetadata::Unprocessed: break;
|
||||
case NodeMetadata::OptimallyReducible:
|
||||
assert(OptimallyReducibleNodes.find(NId) !=
|
||||
OptimallyReducibleNodes.end() &&
|
||||
"Node not in optimally reducible set.");
|
||||
OptimallyReducibleNodes.erase(NId);
|
||||
break;
|
||||
case NodeMetadata::ConservativelyAllocatable:
|
||||
assert(ConservativelyAllocatableNodes.find(NId) !=
|
||||
ConservativelyAllocatableNodes.end() &&
|
||||
"Node not in conservatively allocatable set.");
|
||||
ConservativelyAllocatableNodes.erase(NId);
|
||||
break;
|
||||
case NodeMetadata::NotProvablyAllocatable:
|
||||
assert(NotProvablyAllocatableNodes.find(NId) !=
|
||||
NotProvablyAllocatableNodes.end() &&
|
||||
"Node not in not-provably-allocatable set.");
|
||||
NotProvablyAllocatableNodes.erase(NId);
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
void moveToOptimallyReducibleNodes(NodeId NId) {
|
||||
removeFromCurrentSet(NId);
|
||||
OptimallyReducibleNodes.insert(NId);
|
||||
G.getNodeMetadata(NId).setReductionState(
|
||||
NodeMetadata::OptimallyReducible);
|
||||
}
|
||||
|
||||
void moveToConservativelyAllocatableNodes(NodeId NId) {
|
||||
removeFromCurrentSet(NId);
|
||||
ConservativelyAllocatableNodes.insert(NId);
|
||||
G.getNodeMetadata(NId).setReductionState(
|
||||
NodeMetadata::ConservativelyAllocatable);
|
||||
}
|
||||
|
||||
void moveToNotProvablyAllocatableNodes(NodeId NId) {
|
||||
removeFromCurrentSet(NId);
|
||||
NotProvablyAllocatableNodes.insert(NId);
|
||||
G.getNodeMetadata(NId).setReductionState(
|
||||
NodeMetadata::NotProvablyAllocatable);
|
||||
}
|
||||
|
||||
void setup() {
|
||||
// Set up worklists.
|
||||
for (auto NId : G.nodeIds()) {
|
||||
if (G.getNodeDegree(NId) < 3)
|
||||
moveToOptimallyReducibleNodes(NId);
|
||||
else if (G.getNodeMetadata(NId).isConservativelyAllocatable())
|
||||
moveToConservativelyAllocatableNodes(NId);
|
||||
else
|
||||
moveToNotProvablyAllocatableNodes(NId);
|
||||
}
|
||||
}
|
||||
|
||||
// Compute a reduction order for the graph by iteratively applying PBQP
|
||||
// reduction rules. Locally optimal rules are applied whenever possible (R0,
|
||||
// R1, R2). If no locally-optimal rules apply then any conservatively
|
||||
// allocatable node is reduced. Finally, if no conservatively allocatable
|
||||
// node exists then the node with the lowest spill-cost:degree ratio is
|
||||
// selected.
|
||||
std::vector<GraphBase::NodeId> reduce() {
|
||||
assert(!G.empty() && "Cannot reduce empty graph.");
|
||||
|
||||
using NodeId = GraphBase::NodeId;
|
||||
std::vector<NodeId> NodeStack;
|
||||
|
||||
// Consume worklists.
|
||||
while (true) {
|
||||
if (!OptimallyReducibleNodes.empty()) {
|
||||
NodeSet::iterator NItr = OptimallyReducibleNodes.begin();
|
||||
NodeId NId = *NItr;
|
||||
OptimallyReducibleNodes.erase(NItr);
|
||||
NodeStack.push_back(NId);
|
||||
switch (G.getNodeDegree(NId)) {
|
||||
case 0:
|
||||
break;
|
||||
case 1:
|
||||
applyR1(G, NId);
|
||||
break;
|
||||
case 2:
|
||||
applyR2(G, NId);
|
||||
break;
|
||||
default: llvm_unreachable("Not an optimally reducible node.");
|
||||
}
|
||||
} else if (!ConservativelyAllocatableNodes.empty()) {
|
||||
// Conservatively allocatable nodes will never spill. For now just
|
||||
// take the first node in the set and push it on the stack. When we
|
||||
// start optimizing more heavily for register preferencing, it may
|
||||
// would be better to push nodes with lower 'expected' or worst-case
|
||||
// register costs first (since early nodes are the most
|
||||
// constrained).
|
||||
NodeSet::iterator NItr = ConservativelyAllocatableNodes.begin();
|
||||
NodeId NId = *NItr;
|
||||
ConservativelyAllocatableNodes.erase(NItr);
|
||||
NodeStack.push_back(NId);
|
||||
G.disconnectAllNeighborsFromNode(NId);
|
||||
} else if (!NotProvablyAllocatableNodes.empty()) {
|
||||
NodeSet::iterator NItr =
|
||||
std::min_element(NotProvablyAllocatableNodes.begin(),
|
||||
NotProvablyAllocatableNodes.end(),
|
||||
SpillCostComparator(G));
|
||||
NodeId NId = *NItr;
|
||||
NotProvablyAllocatableNodes.erase(NItr);
|
||||
NodeStack.push_back(NId);
|
||||
G.disconnectAllNeighborsFromNode(NId);
|
||||
} else
|
||||
break;
|
||||
}
|
||||
|
||||
return NodeStack;
|
||||
}
|
||||
|
||||
class SpillCostComparator {
|
||||
public:
|
||||
SpillCostComparator(const Graph& G) : G(G) {}
|
||||
|
||||
bool operator()(NodeId N1Id, NodeId N2Id) {
|
||||
PBQPNum N1SC = G.getNodeCosts(N1Id)[0];
|
||||
PBQPNum N2SC = G.getNodeCosts(N2Id)[0];
|
||||
if (N1SC == N2SC)
|
||||
return G.getNodeDegree(N1Id) < G.getNodeDegree(N2Id);
|
||||
return N1SC < N2SC;
|
||||
}
|
||||
|
||||
private:
|
||||
const Graph& G;
|
||||
};
|
||||
|
||||
Graph& G;
|
||||
using NodeSet = std::set<NodeId>;
|
||||
NodeSet OptimallyReducibleNodes;
|
||||
NodeSet ConservativelyAllocatableNodes;
|
||||
NodeSet NotProvablyAllocatableNodes;
|
||||
};
|
||||
|
||||
class PBQPRAGraph : public PBQP::Graph<RegAllocSolverImpl> {
|
||||
private:
|
||||
using BaseT = PBQP::Graph<RegAllocSolverImpl>;
|
||||
|
||||
public:
|
||||
PBQPRAGraph(GraphMetadata Metadata) : BaseT(std::move(Metadata)) {}
|
||||
|
||||
/// Dump this graph to dbgs().
|
||||
void dump() const;
|
||||
|
||||
/// Dump this graph to an output stream.
|
||||
/// @param OS Output stream to print on.
|
||||
void dump(raw_ostream &OS) const;
|
||||
|
||||
/// Print a representation of this graph in DOT format.
|
||||
/// @param OS Output stream to print on.
|
||||
void printDot(raw_ostream &OS) const;
|
||||
};
|
||||
|
||||
inline Solution solve(PBQPRAGraph& G) {
|
||||
if (G.empty())
|
||||
return Solution();
|
||||
RegAllocSolverImpl RegAllocSolver(G);
|
||||
return RegAllocSolver.solve();
|
||||
}
|
||||
|
||||
} // end namespace RegAlloc
|
||||
} // end namespace PBQP
|
||||
|
||||
/// Create a PBQP register allocator instance.
|
||||
FunctionPass *
|
||||
createPBQPRegisterAllocator(char *customPassID = nullptr);
|
||||
|
||||
} // end namespace llvm
|
||||
|
||||
#endif // LLVM_CODEGEN_REGALLOCPBQP_H
|
||||
Reference in New Issue
Block a user