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81cf432569
This patch forbids implicit conversion of DenseMap::const_iterator to DenseMap::iterator which was possible because DenseMapIterator inherited (publicly) from DenseMapConstIterator. Conversion the other way around is now allowed as one may expect. The template DenseMapConstIterator is removed and the template parameter IsConst which specifies whether the iterator is constant is added to DenseMapIterator. Actually IsConst parameter is not necessary since the constness can be determined from KeyT but this is not relevant to the fix and can be addressed later. Patch by Victor Zverovich! git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@86636 91177308-0d34-0410-b5e6-96231b3b80d8
1118 lines
38 KiB
C++
1118 lines
38 KiB
C++
//===------- ABCD.cpp - Removes redundant conditional branches ------------===//
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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 pass removes redundant branch instructions. This algorithm was
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// described by Rastislav Bodik, Rajiv Gupta and Vivek Sarkar in their paper
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// "ABCD: Eliminating Array Bounds Checks on Demand (2000)". The original
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// Algorithm was created to remove array bound checks for strongly typed
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// languages. This implementation expands the idea and removes any conditional
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// branches that can be proved redundant, not only those used in array bound
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// checks. With the SSI representation, each variable has a
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// constraint. By analyzing these constraints we can prove that a branch is
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// redundant. When a branch is proved redundant it means that
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// one direction will always be taken; thus, we can change this branch into an
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// unconditional jump.
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// It is advisable to run SimplifyCFG and Aggressive Dead Code Elimination
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// after ABCD to clean up the code.
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// This implementation was created based on the implementation of the ABCD
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// algorithm implemented for the compiler Jitrino.
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//
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//===----------------------------------------------------------------------===//
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#define DEBUG_TYPE "abcd"
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#include "llvm/ADT/DenseMap.h"
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#include "llvm/ADT/SmallPtrSet.h"
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#include "llvm/ADT/Statistic.h"
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#include "llvm/Constants.h"
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#include "llvm/Function.h"
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#include "llvm/Instructions.h"
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#include "llvm/Pass.h"
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#include "llvm/Support/raw_ostream.h"
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#include "llvm/Support/Debug.h"
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#include "llvm/Transforms/Scalar.h"
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#include "llvm/Transforms/Utils/SSI.h"
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using namespace llvm;
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STATISTIC(NumBranchTested, "Number of conditional branches analyzed");
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STATISTIC(NumBranchRemoved, "Number of conditional branches removed");
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namespace {
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class ABCD : public FunctionPass {
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public:
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static char ID; // Pass identification, replacement for typeid.
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ABCD() : FunctionPass(&ID) {}
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void getAnalysisUsage(AnalysisUsage &AU) const {
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AU.addRequired<SSI>();
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}
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bool runOnFunction(Function &F);
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private:
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/// Keep track of whether we've modified the program yet.
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bool modified;
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enum ProveResult {
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False = 0,
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Reduced = 1,
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True = 2
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};
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typedef ProveResult (*meet_function)(ProveResult, ProveResult);
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static ProveResult max(ProveResult res1, ProveResult res2) {
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return (ProveResult) std::max(res1, res2);
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}
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static ProveResult min(ProveResult res1, ProveResult res2) {
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return (ProveResult) std::min(res1, res2);
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}
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class Bound {
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public:
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Bound(APInt v, bool upper) : value(v), upper_bound(upper) {}
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Bound(const Bound *b, int cnst)
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: value(b->value - cnst), upper_bound(b->upper_bound) {}
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Bound(const Bound *b, const APInt &cnst)
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: value(b->value - cnst), upper_bound(b->upper_bound) {}
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/// Test if Bound is an upper bound
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bool isUpperBound() const { return upper_bound; }
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/// Get the bitwidth of this bound
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int32_t getBitWidth() const { return value.getBitWidth(); }
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/// Creates a Bound incrementing the one received
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static Bound *createIncrement(const Bound *b) {
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return new Bound(b->isUpperBound() ? b->value+1 : b->value-1,
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b->upper_bound);
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}
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/// Creates a Bound decrementing the one received
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static Bound *createDecrement(const Bound *b) {
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return new Bound(b->isUpperBound() ? b->value-1 : b->value+1,
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b->upper_bound);
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}
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/// Test if two bounds are equal
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static bool eq(const Bound *a, const Bound *b) {
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if (!a || !b) return false;
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assert(a->isUpperBound() == b->isUpperBound());
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return a->value == b->value;
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}
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/// Test if val is less than or equal to Bound b
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static bool leq(APInt val, const Bound *b) {
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if (!b) return false;
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return b->isUpperBound() ? val.sle(b->value) : val.sge(b->value);
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}
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/// Test if Bound a is less then or equal to Bound
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static bool leq(const Bound *a, const Bound *b) {
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if (!a || !b) return false;
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assert(a->isUpperBound() == b->isUpperBound());
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return a->isUpperBound() ? a->value.sle(b->value) :
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a->value.sge(b->value);
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}
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/// Test if Bound a is less then Bound b
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static bool lt(const Bound *a, const Bound *b) {
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if (!a || !b) return false;
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assert(a->isUpperBound() == b->isUpperBound());
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return a->isUpperBound() ? a->value.slt(b->value) :
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a->value.sgt(b->value);
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}
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/// Test if Bound b is greater then or equal val
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static bool geq(const Bound *b, APInt val) {
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return leq(val, b);
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}
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/// Test if Bound a is greater then or equal Bound b
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static bool geq(const Bound *a, const Bound *b) {
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return leq(b, a);
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}
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private:
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APInt value;
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bool upper_bound;
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};
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/// This class is used to store results some parts of the graph,
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/// so information does not need to be recalculated. The maximum false,
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/// minimum true and minimum reduced results are stored
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class MemoizedResultChart {
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public:
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MemoizedResultChart()
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: max_false(NULL), min_true(NULL), min_reduced(NULL) {}
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/// Returns the max false
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Bound *getFalse() const { return max_false; }
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/// Returns the min true
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Bound *getTrue() const { return min_true; }
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/// Returns the min reduced
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Bound *getReduced() const { return min_reduced; }
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/// Return the stored result for this bound
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ProveResult getResult(const Bound *bound) const;
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/// Stores a false found
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void addFalse(Bound *bound);
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/// Stores a true found
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void addTrue(Bound *bound);
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/// Stores a Reduced found
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void addReduced(Bound *bound);
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/// Clears redundant reduced
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/// If a min_true is smaller than a min_reduced then the min_reduced
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/// is unnecessary and then removed. It also works for min_reduced
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/// begin smaller than max_false.
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void clearRedundantReduced();
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void clear() {
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delete max_false;
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delete min_true;
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delete min_reduced;
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}
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private:
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Bound *max_false, *min_true, *min_reduced;
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};
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/// This class stores the result found for a node of the graph,
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/// so these results do not need to be recalculated, only searched for.
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class MemoizedResult {
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public:
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/// Test if there is true result stored from b to a
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/// that is less then the bound
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bool hasTrue(Value *b, const Bound *bound) const {
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Bound *trueBound = map.lookup(b).getTrue();
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return trueBound && Bound::leq(trueBound, bound);
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}
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/// Test if there is false result stored from b to a
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/// that is less then the bound
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bool hasFalse(Value *b, const Bound *bound) const {
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Bound *falseBound = map.lookup(b).getFalse();
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return falseBound && Bound::leq(falseBound, bound);
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}
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/// Test if there is reduced result stored from b to a
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/// that is less then the bound
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bool hasReduced(Value *b, const Bound *bound) const {
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Bound *reducedBound = map.lookup(b).getReduced();
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return reducedBound && Bound::leq(reducedBound, bound);
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}
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/// Returns the stored bound for b
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ProveResult getBoundResult(Value *b, Bound *bound) {
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return map[b].getResult(bound);
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}
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/// Clears the map
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void clear() {
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DenseMapIterator<Value*, MemoizedResultChart> begin = map.begin();
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DenseMapIterator<Value*, MemoizedResultChart> end = map.end();
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for (; begin != end; ++begin) {
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begin->second.clear();
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}
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map.clear();
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}
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/// Stores the bound found
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void updateBound(Value *b, Bound *bound, const ProveResult res);
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private:
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// Maps a nod in the graph with its results found.
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DenseMap<Value*, MemoizedResultChart> map;
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};
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/// This class represents an edge in the inequality graph used by the
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/// ABCD algorithm. An edge connects node v to node u with a value c if
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/// we could infer a constraint v <= u + c in the source program.
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class Edge {
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public:
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Edge(Value *V, APInt val, bool upper)
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: vertex(V), value(val), upper_bound(upper) {}
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Value *getVertex() const { return vertex; }
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const APInt &getValue() const { return value; }
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bool isUpperBound() const { return upper_bound; }
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private:
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Value *vertex;
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APInt value;
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bool upper_bound;
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};
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/// Weighted and Directed graph to represent constraints.
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/// There is one type of constraint, a <= b + X, which will generate an
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/// edge from b to a with weight X.
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class InequalityGraph {
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public:
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/// Adds an edge from V_from to V_to with weight value
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void addEdge(Value *V_from, Value *V_to, APInt value, bool upper);
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/// Test if there is a node V
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bool hasNode(Value *V) const { return graph.count(V); }
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/// Test if there is any edge from V in the upper direction
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bool hasEdge(Value *V, bool upper) const;
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/// Returns all edges pointed by vertex V
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SmallPtrSet<Edge *, 16> getEdges(Value *V) const {
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return graph.lookup(V);
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}
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/// Prints the graph in dot format.
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/// Blue edges represent upper bound and Red lower bound.
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void printGraph(raw_ostream &OS, Function &F) const {
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printHeader(OS, F);
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printBody(OS);
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printFooter(OS);
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}
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/// Clear the graph
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void clear() {
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graph.clear();
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}
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private:
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DenseMap<Value *, SmallPtrSet<Edge *, 16> > graph;
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/// Adds a Node to the graph.
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DenseMap<Value *, SmallPtrSet<Edge *, 16> >::iterator addNode(Value *V) {
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SmallPtrSet<Edge *, 16> p;
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return graph.insert(std::make_pair(V, p)).first;
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}
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/// Prints the header of the dot file
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void printHeader(raw_ostream &OS, Function &F) const;
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/// Prints the footer of the dot file
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void printFooter(raw_ostream &OS) const {
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OS << "}\n";
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}
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/// Prints the body of the dot file
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void printBody(raw_ostream &OS) const;
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/// Prints vertex source to the dot file
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void printVertex(raw_ostream &OS, Value *source) const;
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/// Prints the edge to the dot file
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void printEdge(raw_ostream &OS, Value *source, Edge *edge) const;
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void printName(raw_ostream &OS, Value *info) const;
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};
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/// Iterates through all BasicBlocks, if the Terminator Instruction
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/// uses an Comparator Instruction, all operands of this comparator
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/// are sent to be transformed to SSI. Only Instruction operands are
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/// transformed.
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void createSSI(Function &F);
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/// Creates the graphs for this function.
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/// It will look for all comparators used in branches, and create them.
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/// These comparators will create constraints for any instruction as an
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/// operand.
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void executeABCD(Function &F);
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/// Seeks redundancies in the comparator instruction CI.
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/// If the ABCD algorithm can prove that the comparator CI always
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/// takes one way, then the Terminator Instruction TI is substituted from
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/// a conditional branch to a unconditional one.
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/// This code basically receives a comparator, and verifies which kind of
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/// instruction it is. Depending on the kind of instruction, we use different
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/// strategies to prove its redundancy.
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void seekRedundancy(ICmpInst *ICI, TerminatorInst *TI);
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/// Substitutes Terminator Instruction TI, that is a conditional branch,
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/// with one unconditional branch. Succ_edge determines if the new
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/// unconditional edge will be the first or second edge of the former TI
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/// instruction.
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void removeRedundancy(TerminatorInst *TI, bool Succ_edge);
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/// When an conditional branch is removed, the BasicBlock that is no longer
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/// reachable will have problems in phi functions. This method fixes these
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/// phis removing the former BasicBlock from the list of incoming BasicBlocks
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/// of all phis. In case the phi remains with no predecessor it will be
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/// marked to be removed later.
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void fixPhi(BasicBlock *BB, BasicBlock *Succ);
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/// Removes phis that have no predecessor
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void removePhis();
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/// Creates constraints for Instructions.
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/// If the constraint for this instruction has already been created
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/// nothing is done.
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void createConstraintInstruction(Instruction *I);
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/// Creates constraints for Binary Operators.
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/// It will create constraints only for addition and subtraction,
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/// the other binary operations are not treated by ABCD.
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/// For additions in the form a = b + X and a = X + b, where X is a constant,
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/// the constraint a <= b + X can be obtained. For this constraint, an edge
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/// a->b with weight X is added to the lower bound graph, and an edge
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/// b->a with weight -X is added to the upper bound graph.
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/// Only subtractions in the format a = b - X is used by ABCD.
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/// Edges are created using the same semantic as addition.
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void createConstraintBinaryOperator(BinaryOperator *BO);
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/// Creates constraints for Comparator Instructions.
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/// Only comparators that have any of the following operators
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/// are used to create constraints: >=, >, <=, <. And only if
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/// at least one operand is an Instruction. In a Comparator Instruction
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/// a op b, there will be 4 sigma functions a_t, a_f, b_t and b_f. Where
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/// t and f represent sigma for operands in true and false branches. The
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/// following constraints can be obtained. a_t <= a, a_f <= a, b_t <= b and
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/// b_f <= b. There are two more constraints that depend on the operator.
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/// For the operator <= : a_t <= b_t and b_f <= a_f-1
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/// For the operator < : a_t <= b_t-1 and b_f <= a_f
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/// For the operator >= : b_t <= a_t and a_f <= b_f-1
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/// For the operator > : b_t <= a_t-1 and a_f <= b_f
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void createConstraintCmpInst(ICmpInst *ICI, TerminatorInst *TI);
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/// Creates constraints for PHI nodes.
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/// In a PHI node a = phi(b,c) we can create the constraint
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/// a<= max(b,c). With this constraint there will be the edges,
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/// b->a and c->a with weight 0 in the lower bound graph, and the edges
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/// a->b and a->c with weight 0 in the upper bound graph.
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void createConstraintPHINode(PHINode *PN);
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/// Given a binary operator, we are only interest in the case
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/// that one operand is an Instruction and the other is a ConstantInt. In
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/// this case the method returns true, otherwise false. It also obtains the
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/// Instruction and ConstantInt from the BinaryOperator and returns it.
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bool createBinaryOperatorInfo(BinaryOperator *BO, Instruction **I1,
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Instruction **I2, ConstantInt **C1,
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ConstantInt **C2);
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/// This method creates a constraint between a Sigma and an Instruction.
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/// These constraints are created as soon as we find a comparator that uses a
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/// SSI variable.
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void createConstraintSigInst(Instruction *I_op, BasicBlock *BB_succ_t,
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BasicBlock *BB_succ_f, PHINode **SIG_op_t,
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PHINode **SIG_op_f);
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/// If PN_op1 and PN_o2 are different from NULL, create a constraint
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/// PN_op2 -> PN_op1 with value. In case any of them is NULL, replace
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/// with the respective V_op#, if V_op# is a ConstantInt.
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void createConstraintSigSig(PHINode *SIG_op1, PHINode *SIG_op2,
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ConstantInt *V_op1, ConstantInt *V_op2,
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APInt value);
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/// Returns the sigma representing the Instruction I in BasicBlock BB.
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/// Returns NULL in case there is no sigma for this Instruction in this
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/// Basic Block. This methods assume that sigmas are the first instructions
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/// in a block, and that there can be only two sigmas in a block. So it will
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/// only look on the first two instructions of BasicBlock BB.
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PHINode *findSigma(BasicBlock *BB, Instruction *I);
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/// Original ABCD algorithm to prove redundant checks.
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/// This implementation works on any kind of inequality branch.
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bool demandProve(Value *a, Value *b, int c, bool upper_bound);
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/// Prove that distance between b and a is <= bound
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ProveResult prove(Value *a, Value *b, Bound *bound, unsigned level);
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/// Updates the distance value for a and b
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void updateMemDistance(Value *a, Value *b, Bound *bound, unsigned level,
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meet_function meet);
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InequalityGraph inequality_graph;
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MemoizedResult mem_result;
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DenseMap<Value*, Bound*> active;
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SmallPtrSet<Value*, 16> created;
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SmallVector<PHINode *, 16> phis_to_remove;
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};
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} // end anonymous namespace.
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char ABCD::ID = 0;
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static RegisterPass<ABCD> X("abcd", "ABCD: Eliminating Array Bounds Checks on Demand");
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bool ABCD::runOnFunction(Function &F) {
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modified = false;
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createSSI(F);
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executeABCD(F);
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DEBUG(inequality_graph.printGraph(errs(), F));
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removePhis();
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inequality_graph.clear();
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mem_result.clear();
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active.clear();
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created.clear();
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phis_to_remove.clear();
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return modified;
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}
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/// Iterates through all BasicBlocks, if the Terminator Instruction
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/// uses an Comparator Instruction, all operands of this comparator
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/// are sent to be transformed to SSI. Only Instruction operands are
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/// transformed.
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void ABCD::createSSI(Function &F) {
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SSI *ssi = &getAnalysis<SSI>();
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SmallVector<Instruction *, 16> Insts;
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for (Function::iterator begin = F.begin(), end = F.end();
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begin != end; ++begin) {
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BasicBlock *BB = begin;
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TerminatorInst *TI = BB->getTerminator();
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if (TI->getNumOperands() == 0)
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continue;
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if (ICmpInst *ICI = dyn_cast<ICmpInst>(TI->getOperand(0))) {
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if (Instruction *I = dyn_cast<Instruction>(ICI->getOperand(0))) {
|
|
modified = true; // XXX: but yet createSSI might do nothing
|
|
Insts.push_back(I);
|
|
}
|
|
if (Instruction *I = dyn_cast<Instruction>(ICI->getOperand(1))) {
|
|
modified = true;
|
|
Insts.push_back(I);
|
|
}
|
|
}
|
|
}
|
|
ssi->createSSI(Insts);
|
|
}
|
|
|
|
/// Creates the graphs for this function.
|
|
/// It will look for all comparators used in branches, and create them.
|
|
/// These comparators will create constraints for any instruction as an
|
|
/// operand.
|
|
void ABCD::executeABCD(Function &F) {
|
|
for (Function::iterator begin = F.begin(), end = F.end();
|
|
begin != end; ++begin) {
|
|
BasicBlock *BB = begin;
|
|
TerminatorInst *TI = BB->getTerminator();
|
|
if (TI->getNumOperands() == 0)
|
|
continue;
|
|
|
|
ICmpInst *ICI = dyn_cast<ICmpInst>(TI->getOperand(0));
|
|
if (!ICI || !isa<IntegerType>(ICI->getOperand(0)->getType()))
|
|
continue;
|
|
|
|
createConstraintCmpInst(ICI, TI);
|
|
seekRedundancy(ICI, TI);
|
|
}
|
|
}
|
|
|
|
/// Seeks redundancies in the comparator instruction CI.
|
|
/// If the ABCD algorithm can prove that the comparator CI always
|
|
/// takes one way, then the Terminator Instruction TI is substituted from
|
|
/// a conditional branch to a unconditional one.
|
|
/// This code basically receives a comparator, and verifies which kind of
|
|
/// instruction it is. Depending on the kind of instruction, we use different
|
|
/// strategies to prove its redundancy.
|
|
void ABCD::seekRedundancy(ICmpInst *ICI, TerminatorInst *TI) {
|
|
CmpInst::Predicate Pred = ICI->getPredicate();
|
|
|
|
Value *source, *dest;
|
|
int distance1, distance2;
|
|
bool upper;
|
|
|
|
switch(Pred) {
|
|
case CmpInst::ICMP_SGT: // signed greater than
|
|
upper = false;
|
|
distance1 = 1;
|
|
distance2 = 0;
|
|
break;
|
|
|
|
case CmpInst::ICMP_SGE: // signed greater or equal
|
|
upper = false;
|
|
distance1 = 0;
|
|
distance2 = -1;
|
|
break;
|
|
|
|
case CmpInst::ICMP_SLT: // signed less than
|
|
upper = true;
|
|
distance1 = -1;
|
|
distance2 = 0;
|
|
break;
|
|
|
|
case CmpInst::ICMP_SLE: // signed less or equal
|
|
upper = true;
|
|
distance1 = 0;
|
|
distance2 = 1;
|
|
break;
|
|
|
|
default:
|
|
return;
|
|
}
|
|
|
|
++NumBranchTested;
|
|
source = ICI->getOperand(0);
|
|
dest = ICI->getOperand(1);
|
|
if (demandProve(dest, source, distance1, upper)) {
|
|
removeRedundancy(TI, true);
|
|
} else if (demandProve(dest, source, distance2, !upper)) {
|
|
removeRedundancy(TI, false);
|
|
}
|
|
}
|
|
|
|
/// Substitutes Terminator Instruction TI, that is a conditional branch,
|
|
/// with one unconditional branch. Succ_edge determines if the new
|
|
/// unconditional edge will be the first or second edge of the former TI
|
|
/// instruction.
|
|
void ABCD::removeRedundancy(TerminatorInst *TI, bool Succ_edge) {
|
|
BasicBlock *Succ;
|
|
if (Succ_edge) {
|
|
Succ = TI->getSuccessor(0);
|
|
fixPhi(TI->getParent(), TI->getSuccessor(1));
|
|
} else {
|
|
Succ = TI->getSuccessor(1);
|
|
fixPhi(TI->getParent(), TI->getSuccessor(0));
|
|
}
|
|
|
|
BranchInst::Create(Succ, TI);
|
|
TI->eraseFromParent(); // XXX: invoke
|
|
++NumBranchRemoved;
|
|
modified = true;
|
|
}
|
|
|
|
/// When an conditional branch is removed, the BasicBlock that is no longer
|
|
/// reachable will have problems in phi functions. This method fixes these
|
|
/// phis removing the former BasicBlock from the list of incoming BasicBlocks
|
|
/// of all phis. In case the phi remains with no predecessor it will be
|
|
/// marked to be removed later.
|
|
void ABCD::fixPhi(BasicBlock *BB, BasicBlock *Succ) {
|
|
BasicBlock::iterator begin = Succ->begin();
|
|
while (PHINode *PN = dyn_cast<PHINode>(begin++)) {
|
|
PN->removeIncomingValue(BB, false);
|
|
if (PN->getNumIncomingValues() == 0)
|
|
phis_to_remove.push_back(PN);
|
|
}
|
|
}
|
|
|
|
/// Removes phis that have no predecessor
|
|
void ABCD::removePhis() {
|
|
for (unsigned i = 0, e = phis_to_remove.size(); i != e; ++i) {
|
|
PHINode *PN = phis_to_remove[i];
|
|
PN->replaceAllUsesWith(UndefValue::get(PN->getType()));
|
|
PN->eraseFromParent();
|
|
}
|
|
}
|
|
|
|
/// Creates constraints for Instructions.
|
|
/// If the constraint for this instruction has already been created
|
|
/// nothing is done.
|
|
void ABCD::createConstraintInstruction(Instruction *I) {
|
|
// Test if this instruction has not been created before
|
|
if (created.insert(I)) {
|
|
if (BinaryOperator *BO = dyn_cast<BinaryOperator>(I)) {
|
|
createConstraintBinaryOperator(BO);
|
|
} else if (PHINode *PN = dyn_cast<PHINode>(I)) {
|
|
createConstraintPHINode(PN);
|
|
}
|
|
}
|
|
}
|
|
|
|
/// Creates constraints for Binary Operators.
|
|
/// It will create constraints only for addition and subtraction,
|
|
/// the other binary operations are not treated by ABCD.
|
|
/// For additions in the form a = b + X and a = X + b, where X is a constant,
|
|
/// the constraint a <= b + X can be obtained. For this constraint, an edge
|
|
/// a->b with weight X is added to the lower bound graph, and an edge
|
|
/// b->a with weight -X is added to the upper bound graph.
|
|
/// Only subtractions in the format a = b - X is used by ABCD.
|
|
/// Edges are created using the same semantic as addition.
|
|
void ABCD::createConstraintBinaryOperator(BinaryOperator *BO) {
|
|
Instruction *I1 = NULL, *I2 = NULL;
|
|
ConstantInt *CI1 = NULL, *CI2 = NULL;
|
|
|
|
// Test if an operand is an Instruction and the other is a Constant
|
|
if (!createBinaryOperatorInfo(BO, &I1, &I2, &CI1, &CI2))
|
|
return;
|
|
|
|
Instruction *I = 0;
|
|
APInt value;
|
|
|
|
switch (BO->getOpcode()) {
|
|
case Instruction::Add:
|
|
if (I1) {
|
|
I = I1;
|
|
value = CI2->getValue();
|
|
} else if (I2) {
|
|
I = I2;
|
|
value = CI1->getValue();
|
|
}
|
|
break;
|
|
|
|
case Instruction::Sub:
|
|
// Instructions like a = X-b, where X is a constant are not represented
|
|
// in the graph.
|
|
if (!I1)
|
|
return;
|
|
|
|
I = I1;
|
|
value = -CI2->getValue();
|
|
break;
|
|
|
|
default:
|
|
return;
|
|
}
|
|
|
|
inequality_graph.addEdge(I, BO, value, true);
|
|
inequality_graph.addEdge(BO, I, -value, false);
|
|
createConstraintInstruction(I);
|
|
}
|
|
|
|
/// Given a binary operator, we are only interest in the case
|
|
/// that one operand is an Instruction and the other is a ConstantInt. In
|
|
/// this case the method returns true, otherwise false. It also obtains the
|
|
/// Instruction and ConstantInt from the BinaryOperator and returns it.
|
|
bool ABCD::createBinaryOperatorInfo(BinaryOperator *BO, Instruction **I1,
|
|
Instruction **I2, ConstantInt **C1,
|
|
ConstantInt **C2) {
|
|
Value *op1 = BO->getOperand(0);
|
|
Value *op2 = BO->getOperand(1);
|
|
|
|
if ((*I1 = dyn_cast<Instruction>(op1))) {
|
|
if ((*C2 = dyn_cast<ConstantInt>(op2)))
|
|
return true; // First is Instruction and second ConstantInt
|
|
|
|
return false; // Both are Instruction
|
|
} else {
|
|
if ((*C1 = dyn_cast<ConstantInt>(op1)) &&
|
|
(*I2 = dyn_cast<Instruction>(op2)))
|
|
return true; // First is ConstantInt and second Instruction
|
|
|
|
return false; // Both are not Instruction
|
|
}
|
|
}
|
|
|
|
/// Creates constraints for Comparator Instructions.
|
|
/// Only comparators that have any of the following operators
|
|
/// are used to create constraints: >=, >, <=, <. And only if
|
|
/// at least one operand is an Instruction. In a Comparator Instruction
|
|
/// a op b, there will be 4 sigma functions a_t, a_f, b_t and b_f. Where
|
|
/// t and f represent sigma for operands in true and false branches. The
|
|
/// following constraints can be obtained. a_t <= a, a_f <= a, b_t <= b and
|
|
/// b_f <= b. There are two more constraints that depend on the operator.
|
|
/// For the operator <= : a_t <= b_t and b_f <= a_f-1
|
|
/// For the operator < : a_t <= b_t-1 and b_f <= a_f
|
|
/// For the operator >= : b_t <= a_t and a_f <= b_f-1
|
|
/// For the operator > : b_t <= a_t-1 and a_f <= b_f
|
|
void ABCD::createConstraintCmpInst(ICmpInst *ICI, TerminatorInst *TI) {
|
|
Value *V_op1 = ICI->getOperand(0);
|
|
Value *V_op2 = ICI->getOperand(1);
|
|
|
|
if (!isa<IntegerType>(V_op1->getType()))
|
|
return;
|
|
|
|
Instruction *I_op1 = dyn_cast<Instruction>(V_op1);
|
|
Instruction *I_op2 = dyn_cast<Instruction>(V_op2);
|
|
|
|
// Test if at least one operand is an Instruction
|
|
if (!I_op1 && !I_op2)
|
|
return;
|
|
|
|
BasicBlock *BB_succ_t = TI->getSuccessor(0);
|
|
BasicBlock *BB_succ_f = TI->getSuccessor(1);
|
|
|
|
PHINode *SIG_op1_t = NULL, *SIG_op1_f = NULL,
|
|
*SIG_op2_t = NULL, *SIG_op2_f = NULL;
|
|
|
|
createConstraintSigInst(I_op1, BB_succ_t, BB_succ_f, &SIG_op1_t, &SIG_op1_f);
|
|
createConstraintSigInst(I_op2, BB_succ_t, BB_succ_f, &SIG_op2_t, &SIG_op2_f);
|
|
|
|
int32_t width = cast<IntegerType>(V_op1->getType())->getBitWidth();
|
|
APInt MinusOne = APInt::getAllOnesValue(width);
|
|
APInt Zero = APInt::getNullValue(width);
|
|
|
|
CmpInst::Predicate Pred = ICI->getPredicate();
|
|
ConstantInt *CI1 = dyn_cast<ConstantInt>(V_op1);
|
|
ConstantInt *CI2 = dyn_cast<ConstantInt>(V_op2);
|
|
switch (Pred) {
|
|
case CmpInst::ICMP_SGT: // signed greater than
|
|
createConstraintSigSig(SIG_op2_t, SIG_op1_t, CI2, CI1, MinusOne);
|
|
createConstraintSigSig(SIG_op1_f, SIG_op2_f, CI1, CI2, Zero);
|
|
break;
|
|
|
|
case CmpInst::ICMP_SGE: // signed greater or equal
|
|
createConstraintSigSig(SIG_op2_t, SIG_op1_t, CI2, CI1, Zero);
|
|
createConstraintSigSig(SIG_op1_f, SIG_op2_f, CI1, CI2, MinusOne);
|
|
break;
|
|
|
|
case CmpInst::ICMP_SLT: // signed less than
|
|
createConstraintSigSig(SIG_op1_t, SIG_op2_t, CI1, CI2, MinusOne);
|
|
createConstraintSigSig(SIG_op2_f, SIG_op1_f, CI2, CI1, Zero);
|
|
break;
|
|
|
|
case CmpInst::ICMP_SLE: // signed less or equal
|
|
createConstraintSigSig(SIG_op1_t, SIG_op2_t, CI1, CI2, Zero);
|
|
createConstraintSigSig(SIG_op2_f, SIG_op1_f, CI2, CI1, MinusOne);
|
|
break;
|
|
|
|
default:
|
|
break;
|
|
}
|
|
|
|
if (I_op1)
|
|
createConstraintInstruction(I_op1);
|
|
if (I_op2)
|
|
createConstraintInstruction(I_op2);
|
|
}
|
|
|
|
/// Creates constraints for PHI nodes.
|
|
/// In a PHI node a = phi(b,c) we can create the constraint
|
|
/// a<= max(b,c). With this constraint there will be the edges,
|
|
/// b->a and c->a with weight 0 in the lower bound graph, and the edges
|
|
/// a->b and a->c with weight 0 in the upper bound graph.
|
|
void ABCD::createConstraintPHINode(PHINode *PN) {
|
|
// FIXME: We really want to disallow sigma nodes, but I don't know the best
|
|
// way to detect the other than this.
|
|
if (PN->getNumOperands() == 2) return;
|
|
|
|
int32_t width = cast<IntegerType>(PN->getType())->getBitWidth();
|
|
for (unsigned i = 0, e = PN->getNumIncomingValues(); i != e; ++i) {
|
|
Value *V = PN->getIncomingValue(i);
|
|
if (Instruction *I = dyn_cast<Instruction>(V)) {
|
|
createConstraintInstruction(I);
|
|
}
|
|
inequality_graph.addEdge(V, PN, APInt(width, 0), true);
|
|
inequality_graph.addEdge(V, PN, APInt(width, 0), false);
|
|
}
|
|
}
|
|
|
|
/// This method creates a constraint between a Sigma and an Instruction.
|
|
/// These constraints are created as soon as we find a comparator that uses a
|
|
/// SSI variable.
|
|
void ABCD::createConstraintSigInst(Instruction *I_op, BasicBlock *BB_succ_t,
|
|
BasicBlock *BB_succ_f, PHINode **SIG_op_t,
|
|
PHINode **SIG_op_f) {
|
|
*SIG_op_t = findSigma(BB_succ_t, I_op);
|
|
*SIG_op_f = findSigma(BB_succ_f, I_op);
|
|
|
|
if (*SIG_op_t) {
|
|
int32_t width = cast<IntegerType>((*SIG_op_t)->getType())->getBitWidth();
|
|
inequality_graph.addEdge(I_op, *SIG_op_t, APInt(width, 0), true);
|
|
inequality_graph.addEdge(*SIG_op_t, I_op, APInt(width, 0), false);
|
|
}
|
|
if (*SIG_op_f) {
|
|
int32_t width = cast<IntegerType>((*SIG_op_f)->getType())->getBitWidth();
|
|
inequality_graph.addEdge(I_op, *SIG_op_f, APInt(width, 0), true);
|
|
inequality_graph.addEdge(*SIG_op_f, I_op, APInt(width, 0), false);
|
|
}
|
|
}
|
|
|
|
/// If PN_op1 and PN_o2 are different from NULL, create a constraint
|
|
/// PN_op2 -> PN_op1 with value. In case any of them is NULL, replace
|
|
/// with the respective V_op#, if V_op# is a ConstantInt.
|
|
void ABCD::createConstraintSigSig(PHINode *SIG_op1, PHINode *SIG_op2,
|
|
ConstantInt *V_op1, ConstantInt *V_op2,
|
|
APInt value) {
|
|
if (SIG_op1 && SIG_op2) {
|
|
inequality_graph.addEdge(SIG_op2, SIG_op1, value, true);
|
|
inequality_graph.addEdge(SIG_op1, SIG_op2, -value, false);
|
|
} else if (SIG_op1 && V_op2) {
|
|
inequality_graph.addEdge(V_op2, SIG_op1, value, true);
|
|
inequality_graph.addEdge(SIG_op1, V_op2, -value, false);
|
|
} else if (SIG_op2 && V_op1) {
|
|
inequality_graph.addEdge(SIG_op2, V_op1, value, true);
|
|
inequality_graph.addEdge(V_op1, SIG_op2, -value, false);
|
|
}
|
|
}
|
|
|
|
/// Returns the sigma representing the Instruction I in BasicBlock BB.
|
|
/// Returns NULL in case there is no sigma for this Instruction in this
|
|
/// Basic Block. This methods assume that sigmas are the first instructions
|
|
/// in a block, and that there can be only two sigmas in a block. So it will
|
|
/// only look on the first two instructions of BasicBlock BB.
|
|
PHINode *ABCD::findSigma(BasicBlock *BB, Instruction *I) {
|
|
// BB has more than one predecessor, BB cannot have sigmas.
|
|
if (I == NULL || BB->getSinglePredecessor() == NULL)
|
|
return NULL;
|
|
|
|
BasicBlock::iterator begin = BB->begin();
|
|
BasicBlock::iterator end = BB->end();
|
|
|
|
for (unsigned i = 0; i < 2 && begin != end; ++i, ++begin) {
|
|
Instruction *I_succ = begin;
|
|
if (PHINode *PN = dyn_cast<PHINode>(I_succ))
|
|
if (PN->getIncomingValue(0) == I)
|
|
return PN;
|
|
}
|
|
|
|
return NULL;
|
|
}
|
|
|
|
/// Original ABCD algorithm to prove redundant checks.
|
|
/// This implementation works on any kind of inequality branch.
|
|
bool ABCD::demandProve(Value *a, Value *b, int c, bool upper_bound) {
|
|
int32_t width = cast<IntegerType>(a->getType())->getBitWidth();
|
|
Bound *bound = new Bound(APInt(width, c), upper_bound);
|
|
|
|
mem_result.clear();
|
|
active.clear();
|
|
|
|
ProveResult res = prove(a, b, bound, 0);
|
|
return res != False;
|
|
}
|
|
|
|
/// Prove that distance between b and a is <= bound
|
|
ABCD::ProveResult ABCD::prove(Value *a, Value *b, Bound *bound,
|
|
unsigned level) {
|
|
// if (C[b-a<=e] == True for some e <= bound
|
|
// Same or stronger difference was already proven
|
|
if (mem_result.hasTrue(b, bound))
|
|
return True;
|
|
|
|
// if (C[b-a<=e] == False for some e >= bound
|
|
// Same or weaker difference was already disproved
|
|
if (mem_result.hasFalse(b, bound))
|
|
return False;
|
|
|
|
// if (C[b-a<=e] == Reduced for some e <= bound
|
|
// b is on a cycle that was reduced for same or stronger difference
|
|
if (mem_result.hasReduced(b, bound))
|
|
return Reduced;
|
|
|
|
// traversal reached the source vertex
|
|
if (a == b && Bound::geq(bound, APInt(bound->getBitWidth(), 0, true)))
|
|
return True;
|
|
|
|
// if b has no predecessor then fail
|
|
if (!inequality_graph.hasEdge(b, bound->isUpperBound()))
|
|
return False;
|
|
|
|
// a cycle was encountered
|
|
if (active.count(b)) {
|
|
if (Bound::leq(active.lookup(b), bound))
|
|
return Reduced; // a "harmless" cycle
|
|
|
|
return False; // an amplifying cycle
|
|
}
|
|
|
|
active[b] = bound;
|
|
PHINode *PN = dyn_cast<PHINode>(b);
|
|
|
|
// Test if a Value is a Phi. If it is a PHINode with more than 1 incoming
|
|
// value, then it is a phi, if it has 1 incoming value it is a sigma.
|
|
if (PN && PN->getNumIncomingValues() > 1)
|
|
updateMemDistance(a, b, bound, level, min);
|
|
else
|
|
updateMemDistance(a, b, bound, level, max);
|
|
|
|
active.erase(b);
|
|
|
|
ABCD::ProveResult res = mem_result.getBoundResult(b, bound);
|
|
return res;
|
|
}
|
|
|
|
/// Updates the distance value for a and b
|
|
void ABCD::updateMemDistance(Value *a, Value *b, Bound *bound, unsigned level,
|
|
meet_function meet) {
|
|
ABCD::ProveResult res = (meet == max) ? False : True;
|
|
|
|
SmallPtrSet<Edge *, 16> Edges = inequality_graph.getEdges(b);
|
|
SmallPtrSet<Edge *, 16>::iterator begin = Edges.begin(), end = Edges.end();
|
|
|
|
for (; begin != end ; ++begin) {
|
|
if (((res >= Reduced) && (meet == max)) ||
|
|
((res == False) && (meet == min))) {
|
|
break;
|
|
}
|
|
Edge *in = *begin;
|
|
if (in->isUpperBound() == bound->isUpperBound()) {
|
|
Value *succ = in->getVertex();
|
|
res = meet(res, prove(a, succ, new Bound(bound, in->getValue()),
|
|
level+1));
|
|
}
|
|
}
|
|
|
|
mem_result.updateBound(b, bound, res);
|
|
}
|
|
|
|
/// Return the stored result for this bound
|
|
ABCD::ProveResult ABCD::MemoizedResultChart::getResult(const Bound *bound)const{
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if (max_false && Bound::leq(bound, max_false))
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return False;
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if (min_true && Bound::leq(min_true, bound))
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return True;
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if (min_reduced && Bound::leq(min_reduced, bound))
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return Reduced;
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return False;
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}
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|
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/// Stores a false found
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void ABCD::MemoizedResultChart::addFalse(Bound *bound) {
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|
if (!max_false || Bound::leq(max_false, bound))
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|
max_false = bound;
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|
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|
if (Bound::eq(max_false, min_reduced))
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|
min_reduced = Bound::createIncrement(min_reduced);
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|
if (Bound::eq(max_false, min_true))
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|
min_true = Bound::createIncrement(min_true);
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|
if (Bound::eq(min_reduced, min_true))
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|
min_reduced = NULL;
|
|
clearRedundantReduced();
|
|
}
|
|
|
|
/// Stores a true found
|
|
void ABCD::MemoizedResultChart::addTrue(Bound *bound) {
|
|
if (!min_true || Bound::leq(bound, min_true))
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|
min_true = bound;
|
|
|
|
if (Bound::eq(min_true, min_reduced))
|
|
min_reduced = Bound::createDecrement(min_reduced);
|
|
if (Bound::eq(min_true, max_false))
|
|
max_false = Bound::createDecrement(max_false);
|
|
if (Bound::eq(max_false, min_reduced))
|
|
min_reduced = NULL;
|
|
clearRedundantReduced();
|
|
}
|
|
|
|
/// Stores a Reduced found
|
|
void ABCD::MemoizedResultChart::addReduced(Bound *bound) {
|
|
if (!min_reduced || Bound::leq(bound, min_reduced))
|
|
min_reduced = bound;
|
|
|
|
if (Bound::eq(min_reduced, min_true))
|
|
min_true = Bound::createIncrement(min_true);
|
|
if (Bound::eq(min_reduced, max_false))
|
|
max_false = Bound::createDecrement(max_false);
|
|
}
|
|
|
|
/// Clears redundant reduced
|
|
/// If a min_true is smaller than a min_reduced then the min_reduced
|
|
/// is unnecessary and then removed. It also works for min_reduced
|
|
/// begin smaller than max_false.
|
|
void ABCD::MemoizedResultChart::clearRedundantReduced() {
|
|
if (min_true && min_reduced && Bound::lt(min_true, min_reduced))
|
|
min_reduced = NULL;
|
|
if (max_false && min_reduced && Bound::lt(min_reduced, max_false))
|
|
min_reduced = NULL;
|
|
}
|
|
|
|
/// Stores the bound found
|
|
void ABCD::MemoizedResult::updateBound(Value *b, Bound *bound,
|
|
const ProveResult res) {
|
|
if (res == False) {
|
|
map[b].addFalse(bound);
|
|
} else if (res == True) {
|
|
map[b].addTrue(bound);
|
|
} else {
|
|
map[b].addReduced(bound);
|
|
}
|
|
}
|
|
|
|
/// Adds an edge from V_from to V_to with weight value
|
|
void ABCD::InequalityGraph::addEdge(Value *V_to, Value *V_from,
|
|
APInt value, bool upper) {
|
|
assert(V_from->getType() == V_to->getType());
|
|
assert(cast<IntegerType>(V_from->getType())->getBitWidth() ==
|
|
value.getBitWidth());
|
|
|
|
DenseMap<Value *, SmallPtrSet<Edge *, 16> >::iterator from;
|
|
from = addNode(V_from);
|
|
from->second.insert(new Edge(V_to, value, upper));
|
|
}
|
|
|
|
/// Test if there is any edge from V in the upper direction
|
|
bool ABCD::InequalityGraph::hasEdge(Value *V, bool upper) const {
|
|
SmallPtrSet<Edge *, 16> it = graph.lookup(V);
|
|
|
|
SmallPtrSet<Edge *, 16>::iterator begin = it.begin();
|
|
SmallPtrSet<Edge *, 16>::iterator end = it.end();
|
|
for (; begin != end; ++begin) {
|
|
if ((*begin)->isUpperBound() == upper) {
|
|
return true;
|
|
}
|
|
}
|
|
return false;
|
|
}
|
|
|
|
/// Prints the header of the dot file
|
|
void ABCD::InequalityGraph::printHeader(raw_ostream &OS, Function &F) const {
|
|
OS << "digraph dotgraph {\n";
|
|
OS << "label=\"Inequality Graph for \'";
|
|
OS << F.getNameStr() << "\' function\";\n";
|
|
OS << "node [shape=record,fontname=\"Times-Roman\",fontsize=14];\n";
|
|
}
|
|
|
|
/// Prints the body of the dot file
|
|
void ABCD::InequalityGraph::printBody(raw_ostream &OS) const {
|
|
DenseMap<Value *, SmallPtrSet<Edge *, 16> >::const_iterator begin =
|
|
graph.begin(), end = graph.end();
|
|
|
|
for (; begin != end ; ++begin) {
|
|
SmallPtrSet<Edge *, 16>::iterator begin_par =
|
|
begin->second.begin(), end_par = begin->second.end();
|
|
Value *source = begin->first;
|
|
|
|
printVertex(OS, source);
|
|
|
|
for (; begin_par != end_par ; ++begin_par) {
|
|
Edge *edge = *begin_par;
|
|
printEdge(OS, source, edge);
|
|
}
|
|
}
|
|
}
|
|
|
|
/// Prints vertex source to the dot file
|
|
///
|
|
void ABCD::InequalityGraph::printVertex(raw_ostream &OS, Value *source) const {
|
|
OS << "\"";
|
|
printName(OS, source);
|
|
OS << "\"";
|
|
OS << " [label=\"{";
|
|
printName(OS, source);
|
|
OS << "}\"];\n";
|
|
}
|
|
|
|
/// Prints the edge to the dot file
|
|
void ABCD::InequalityGraph::printEdge(raw_ostream &OS, Value *source,
|
|
Edge *edge) const {
|
|
Value *dest = edge->getVertex();
|
|
APInt value = edge->getValue();
|
|
bool upper = edge->isUpperBound();
|
|
|
|
OS << "\"";
|
|
printName(OS, source);
|
|
OS << "\"";
|
|
OS << " -> ";
|
|
OS << "\"";
|
|
printName(OS, dest);
|
|
OS << "\"";
|
|
OS << " [label=\"" << value << "\"";
|
|
if (upper) {
|
|
OS << "color=\"blue\"";
|
|
} else {
|
|
OS << "color=\"red\"";
|
|
}
|
|
OS << "];\n";
|
|
}
|
|
|
|
void ABCD::InequalityGraph::printName(raw_ostream &OS, Value *info) const {
|
|
if (ConstantInt *CI = dyn_cast<ConstantInt>(info)) {
|
|
OS << *CI;
|
|
} else {
|
|
if (!info->hasName()) {
|
|
info->setName("V");
|
|
}
|
|
OS << info->getNameStr();
|
|
}
|
|
}
|
|
|
|
/// createABCDPass - The public interface to this file...
|
|
FunctionPass *llvm::createABCDPass() {
|
|
return new ABCD();
|
|
}
|