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llvm-mirror/lib/Analysis/SparsePropagation.cpp
Chandler Carruth 4c1f3c24db Move all of the header files which are involved in modelling the LLVM IR
into their new header subdirectory: include/llvm/IR. This matches the
directory structure of lib, and begins to correct a long standing point
of file layout clutter in LLVM.

There are still more header files to move here, but I wanted to handle
them in separate commits to make tracking what files make sense at each
layer easier.

The only really questionable files here are the target intrinsic
tablegen files. But that's a battle I'd rather not fight today.

I've updated both CMake and Makefile build systems (I think, and my
tests think, but I may have missed something).

I've also re-sorted the includes throughout the project. I'll be
committing updates to Clang, DragonEgg, and Polly momentarily.

llvm-svn: 171366
2013-01-02 11:36:10 +00:00

348 lines
12 KiB
C++

//===- SparsePropagation.cpp - Sparse Conditional Property Propagation ----===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// This file implements an abstract sparse conditional propagation algorithm,
// modeled after SCCP, but with a customizable lattice function.
//
//===----------------------------------------------------------------------===//
#define DEBUG_TYPE "sparseprop"
#include "llvm/Analysis/SparsePropagation.h"
#include "llvm/IR/Constants.h"
#include "llvm/IR/Function.h"
#include "llvm/IR/Instructions.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/raw_ostream.h"
using namespace llvm;
//===----------------------------------------------------------------------===//
// AbstractLatticeFunction Implementation
//===----------------------------------------------------------------------===//
AbstractLatticeFunction::~AbstractLatticeFunction() {}
/// PrintValue - Render the specified lattice value to the specified stream.
void AbstractLatticeFunction::PrintValue(LatticeVal V, raw_ostream &OS) {
if (V == UndefVal)
OS << "undefined";
else if (V == OverdefinedVal)
OS << "overdefined";
else if (V == UntrackedVal)
OS << "untracked";
else
OS << "unknown lattice value";
}
//===----------------------------------------------------------------------===//
// SparseSolver Implementation
//===----------------------------------------------------------------------===//
/// getOrInitValueState - Return the LatticeVal object that corresponds to the
/// value, initializing the value's state if it hasn't been entered into the
/// map yet. This function is necessary because not all values should start
/// out in the underdefined state... Arguments should be overdefined, and
/// constants should be marked as constants.
///
SparseSolver::LatticeVal SparseSolver::getOrInitValueState(Value *V) {
DenseMap<Value*, LatticeVal>::iterator I = ValueState.find(V);
if (I != ValueState.end()) return I->second; // Common case, in the map
LatticeVal LV;
if (LatticeFunc->IsUntrackedValue(V))
return LatticeFunc->getUntrackedVal();
else if (Constant *C = dyn_cast<Constant>(V))
LV = LatticeFunc->ComputeConstant(C);
else if (Argument *A = dyn_cast<Argument>(V))
LV = LatticeFunc->ComputeArgument(A);
else if (!isa<Instruction>(V))
// All other non-instructions are overdefined.
LV = LatticeFunc->getOverdefinedVal();
else
// All instructions are underdefined by default.
LV = LatticeFunc->getUndefVal();
// If this value is untracked, don't add it to the map.
if (LV == LatticeFunc->getUntrackedVal())
return LV;
return ValueState[V] = LV;
}
/// UpdateState - When the state for some instruction is potentially updated,
/// this function notices and adds I to the worklist if needed.
void SparseSolver::UpdateState(Instruction &Inst, LatticeVal V) {
DenseMap<Value*, LatticeVal>::iterator I = ValueState.find(&Inst);
if (I != ValueState.end() && I->second == V)
return; // No change.
// An update. Visit uses of I.
ValueState[&Inst] = V;
InstWorkList.push_back(&Inst);
}
/// MarkBlockExecutable - This method can be used by clients to mark all of
/// the blocks that are known to be intrinsically live in the processed unit.
void SparseSolver::MarkBlockExecutable(BasicBlock *BB) {
DEBUG(dbgs() << "Marking Block Executable: " << BB->getName() << "\n");
BBExecutable.insert(BB); // Basic block is executable!
BBWorkList.push_back(BB); // Add the block to the work list!
}
/// markEdgeExecutable - Mark a basic block as executable, adding it to the BB
/// work list if it is not already executable...
void SparseSolver::markEdgeExecutable(BasicBlock *Source, BasicBlock *Dest) {
if (!KnownFeasibleEdges.insert(Edge(Source, Dest)).second)
return; // This edge is already known to be executable!
DEBUG(dbgs() << "Marking Edge Executable: " << Source->getName()
<< " -> " << Dest->getName() << "\n");
if (BBExecutable.count(Dest)) {
// The destination is already executable, but we just made an edge
// feasible that wasn't before. Revisit the PHI nodes in the block
// because they have potentially new operands.
for (BasicBlock::iterator I = Dest->begin(); isa<PHINode>(I); ++I)
visitPHINode(*cast<PHINode>(I));
} else {
MarkBlockExecutable(Dest);
}
}
/// getFeasibleSuccessors - Return a vector of booleans to indicate which
/// successors are reachable from a given terminator instruction.
void SparseSolver::getFeasibleSuccessors(TerminatorInst &TI,
SmallVectorImpl<bool> &Succs,
bool AggressiveUndef) {
Succs.resize(TI.getNumSuccessors());
if (TI.getNumSuccessors() == 0) return;
if (BranchInst *BI = dyn_cast<BranchInst>(&TI)) {
if (BI->isUnconditional()) {
Succs[0] = true;
return;
}
LatticeVal BCValue;
if (AggressiveUndef)
BCValue = getOrInitValueState(BI->getCondition());
else
BCValue = getLatticeState(BI->getCondition());
if (BCValue == LatticeFunc->getOverdefinedVal() ||
BCValue == LatticeFunc->getUntrackedVal()) {
// Overdefined condition variables can branch either way.
Succs[0] = Succs[1] = true;
return;
}
// If undefined, neither is feasible yet.
if (BCValue == LatticeFunc->getUndefVal())
return;
Constant *C = LatticeFunc->GetConstant(BCValue, BI->getCondition(), *this);
if (C == 0 || !isa<ConstantInt>(C)) {
// Non-constant values can go either way.
Succs[0] = Succs[1] = true;
return;
}
// Constant condition variables mean the branch can only go a single way
Succs[C->isNullValue()] = true;
return;
}
if (isa<InvokeInst>(TI)) {
// Invoke instructions successors are always executable.
// TODO: Could ask the lattice function if the value can throw.
Succs[0] = Succs[1] = true;
return;
}
if (isa<IndirectBrInst>(TI)) {
Succs.assign(Succs.size(), true);
return;
}
SwitchInst &SI = cast<SwitchInst>(TI);
LatticeVal SCValue;
if (AggressiveUndef)
SCValue = getOrInitValueState(SI.getCondition());
else
SCValue = getLatticeState(SI.getCondition());
if (SCValue == LatticeFunc->getOverdefinedVal() ||
SCValue == LatticeFunc->getUntrackedVal()) {
// All destinations are executable!
Succs.assign(TI.getNumSuccessors(), true);
return;
}
// If undefined, neither is feasible yet.
if (SCValue == LatticeFunc->getUndefVal())
return;
Constant *C = LatticeFunc->GetConstant(SCValue, SI.getCondition(), *this);
if (C == 0 || !isa<ConstantInt>(C)) {
// All destinations are executable!
Succs.assign(TI.getNumSuccessors(), true);
return;
}
SwitchInst::CaseIt Case = SI.findCaseValue(cast<ConstantInt>(C));
Succs[Case.getSuccessorIndex()] = true;
}
/// isEdgeFeasible - Return true if the control flow edge from the 'From'
/// basic block to the 'To' basic block is currently feasible...
bool SparseSolver::isEdgeFeasible(BasicBlock *From, BasicBlock *To,
bool AggressiveUndef) {
SmallVector<bool, 16> SuccFeasible;
TerminatorInst *TI = From->getTerminator();
getFeasibleSuccessors(*TI, SuccFeasible, AggressiveUndef);
for (unsigned i = 0, e = TI->getNumSuccessors(); i != e; ++i)
if (TI->getSuccessor(i) == To && SuccFeasible[i])
return true;
return false;
}
void SparseSolver::visitTerminatorInst(TerminatorInst &TI) {
SmallVector<bool, 16> SuccFeasible;
getFeasibleSuccessors(TI, SuccFeasible, true);
BasicBlock *BB = TI.getParent();
// Mark all feasible successors executable...
for (unsigned i = 0, e = SuccFeasible.size(); i != e; ++i)
if (SuccFeasible[i])
markEdgeExecutable(BB, TI.getSuccessor(i));
}
void SparseSolver::visitPHINode(PHINode &PN) {
// The lattice function may store more information on a PHINode than could be
// computed from its incoming values. For example, SSI form stores its sigma
// functions as PHINodes with a single incoming value.
if (LatticeFunc->IsSpecialCasedPHI(&PN)) {
LatticeVal IV = LatticeFunc->ComputeInstructionState(PN, *this);
if (IV != LatticeFunc->getUntrackedVal())
UpdateState(PN, IV);
return;
}
LatticeVal PNIV = getOrInitValueState(&PN);
LatticeVal Overdefined = LatticeFunc->getOverdefinedVal();
// If this value is already overdefined (common) just return.
if (PNIV == Overdefined || PNIV == LatticeFunc->getUntrackedVal())
return; // Quick exit
// Super-extra-high-degree PHI nodes are unlikely to ever be interesting,
// and slow us down a lot. Just mark them overdefined.
if (PN.getNumIncomingValues() > 64) {
UpdateState(PN, Overdefined);
return;
}
// Look at all of the executable operands of the PHI node. If any of them
// are overdefined, the PHI becomes overdefined as well. Otherwise, ask the
// transfer function to give us the merge of the incoming values.
for (unsigned i = 0, e = PN.getNumIncomingValues(); i != e; ++i) {
// If the edge is not yet known to be feasible, it doesn't impact the PHI.
if (!isEdgeFeasible(PN.getIncomingBlock(i), PN.getParent(), true))
continue;
// Merge in this value.
LatticeVal OpVal = getOrInitValueState(PN.getIncomingValue(i));
if (OpVal != PNIV)
PNIV = LatticeFunc->MergeValues(PNIV, OpVal);
if (PNIV == Overdefined)
break; // Rest of input values don't matter.
}
// Update the PHI with the compute value, which is the merge of the inputs.
UpdateState(PN, PNIV);
}
void SparseSolver::visitInst(Instruction &I) {
// PHIs are handled by the propagation logic, they are never passed into the
// transfer functions.
if (PHINode *PN = dyn_cast<PHINode>(&I))
return visitPHINode(*PN);
// Otherwise, ask the transfer function what the result is. If this is
// something that we care about, remember it.
LatticeVal IV = LatticeFunc->ComputeInstructionState(I, *this);
if (IV != LatticeFunc->getUntrackedVal())
UpdateState(I, IV);
if (TerminatorInst *TI = dyn_cast<TerminatorInst>(&I))
visitTerminatorInst(*TI);
}
void SparseSolver::Solve(Function &F) {
MarkBlockExecutable(&F.getEntryBlock());
// Process the work lists until they are empty!
while (!BBWorkList.empty() || !InstWorkList.empty()) {
// Process the instruction work list.
while (!InstWorkList.empty()) {
Instruction *I = InstWorkList.back();
InstWorkList.pop_back();
DEBUG(dbgs() << "\nPopped off I-WL: " << *I << "\n");
// "I" got into the work list because it made a transition. See if any
// users are both live and in need of updating.
for (Value::use_iterator UI = I->use_begin(), E = I->use_end();
UI != E; ++UI) {
Instruction *U = cast<Instruction>(*UI);
if (BBExecutable.count(U->getParent())) // Inst is executable?
visitInst(*U);
}
}
// Process the basic block work list.
while (!BBWorkList.empty()) {
BasicBlock *BB = BBWorkList.back();
BBWorkList.pop_back();
DEBUG(dbgs() << "\nPopped off BBWL: " << *BB);
// Notify all instructions in this basic block that they are newly
// executable.
for (BasicBlock::iterator I = BB->begin(), E = BB->end(); I != E; ++I)
visitInst(*I);
}
}
}
void SparseSolver::Print(Function &F, raw_ostream &OS) const {
OS << "\nFUNCTION: " << F.getName() << "\n";
for (Function::iterator BB = F.begin(), E = F.end(); BB != E; ++BB) {
if (!BBExecutable.count(BB))
OS << "INFEASIBLE: ";
OS << "\t";
if (BB->hasName())
OS << BB->getName() << ":\n";
else
OS << "; anon bb\n";
for (BasicBlock::iterator I = BB->begin(), E = BB->end(); I != E; ++I) {
LatticeFunc->PrintValue(getLatticeState(I), OS);
OS << *I << "\n";
}
OS << "\n";
}
}