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|
//===-- ArrayExprOptimizer.cpp --------------------------------------------===//
//
// The KLEE Symbolic Virtual Machine
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
#include "klee/Expr/ArrayExprOptimizer.h"
#include "klee/ADT/BitArray.h"
#include "klee/Config/Version.h"
#include "klee/Expr/ArrayExprRewriter.h"
#include "klee/Expr/ArrayExprVisitor.h"
#include "klee/Expr/Assignment.h"
#include "klee/Expr/AssignmentGenerator.h"
#include "klee/Expr/ExprBuilder.h"
#include "klee/Support/OptionCategories.h"
#include "klee/Support/ErrorHandling.h"
#include <llvm/ADT/APInt.h>
#include <llvm/Support/Casting.h>
#include <llvm/Support/CommandLine.h>
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <set>
using namespace klee;
namespace klee {
llvm::cl::opt<ArrayOptimizationType> OptimizeArray(
"optimize-array",
llvm::cl::values(clEnumValN(ALL, "all",
"Combining index and value transformations"),
clEnumValN(INDEX, "index", "Index-based transformation"),
clEnumValN(VALUE, "value",
"Value-based transformation at branch (both "
"concrete and concrete/symbolic)")
KLEE_LLVM_CL_VAL_END),
llvm::cl::init(NONE),
llvm::cl::desc("Optimize accesses to either concrete or concrete/symbolic "
"arrays. (default=false)"),
llvm::cl::cat(klee::SolvingCat));
llvm::cl::opt<double> ArrayValueRatio(
"array-value-ratio",
llvm::cl::desc("Maximum ratio of unique values to array size for which the "
"value-based transformations are applied."),
llvm::cl::init(1.0), llvm::cl::value_desc("Unique Values / Array Size"),
llvm::cl::cat(klee::SolvingCat));
llvm::cl::opt<double> ArrayValueSymbRatio(
"array-value-symb-ratio",
llvm::cl::desc("Maximum ratio of symbolic values to array size for which "
"the mixed value-based transformations are applied."),
llvm::cl::init(1.0), llvm::cl::value_desc("Symbolic Values / Array Size"),
llvm::cl::cat(klee::SolvingCat));
}; // namespace klee
ref<Expr> extendRead(const UpdateList &ul, const ref<Expr> index,
Expr::Width w) {
switch (w) {
default:
assert(0 && "invalid width");
case Expr::Int8:
return ReadExpr::alloc(ul, index);
case Expr::Int16:
return ConcatExpr::create(
ReadExpr::alloc(
ul, AddExpr::create(ConstantExpr::create(1, Expr::Int32), index)),
ReadExpr::alloc(ul, index));
case Expr::Int32:
return ConcatExpr::create4(
ReadExpr::alloc(
ul, AddExpr::create(ConstantExpr::create(3, Expr::Int32), index)),
ReadExpr::alloc(
ul, AddExpr::create(ConstantExpr::create(2, Expr::Int32), index)),
ReadExpr::alloc(
ul, AddExpr::create(ConstantExpr::create(1, Expr::Int32), index)),
ReadExpr::alloc(ul, index));
case Expr::Int64:
return ConcatExpr::create8(
ReadExpr::alloc(
ul, AddExpr::create(ConstantExpr::create(7, Expr::Int32), index)),
ReadExpr::alloc(
ul, AddExpr::create(ConstantExpr::create(6, Expr::Int32), index)),
ReadExpr::alloc(
ul, AddExpr::create(ConstantExpr::create(5, Expr::Int32), index)),
ReadExpr::alloc(
ul, AddExpr::create(ConstantExpr::create(4, Expr::Int32), index)),
ReadExpr::alloc(
ul, AddExpr::create(ConstantExpr::create(3, Expr::Int32), index)),
ReadExpr::alloc(
ul, AddExpr::create(ConstantExpr::create(2, Expr::Int32), index)),
ReadExpr::alloc(
ul, AddExpr::create(ConstantExpr::create(1, Expr::Int32), index)),
ReadExpr::alloc(ul, index));
}
}
ref<Expr> ExprOptimizer::optimizeExpr(const ref<Expr> &e, bool valueOnly) {
// Nothing to optimise for constant expressions
if (isa<ConstantExpr>(e))
return e;
// If no is optimization enabled, return early avoid cache lookup
if (OptimizeArray == NONE)
return e;
if (cacheExprUnapplicable.count(e) > 0)
return e;
// Find cached expressions
auto cached = cacheExprOptimized.find(e);
if (cached != cacheExprOptimized.end())
return cached->second;
ref<Expr> result;
// ----------------------- INDEX-BASED OPTIMIZATION -------------------------
if (!valueOnly && (OptimizeArray == ALL || OptimizeArray == INDEX)) {
array2idx_ty arrays;
ConstantArrayExprVisitor aev(arrays);
aev.visit(e);
if (arrays.empty() || aev.isIncompatible()) {
// We do not optimize expressions other than those with concrete
// arrays with a symbolic index
// If we cannot optimize the expression, we return a failure only
// when we are not combining the optimizations
if (OptimizeArray == INDEX) {
cacheExprUnapplicable.insert(e);
return e;
}
} else {
mapIndexOptimizedExpr_ty idx_valIdx;
// Compute those indexes s.t. orig_expr =equisat= (k==i|k==j|..)
if (computeIndexes(arrays, e, idx_valIdx)) {
if (!idx_valIdx.empty()) {
// Create new expression on indexes
result = ExprRewriter::createOptExpr(e, arrays, idx_valIdx);
} else {
klee_warning("OPT_I: infeasible branch!");
result = ConstantExpr::create(0, Expr::Bool);
}
// Add new expression to cache
if (result) {
klee_warning("OPT_I: successful");
cacheExprOptimized[e] = result;
} else {
klee_warning("OPT_I: unsuccessful");
}
} else {
klee_warning("OPT_I: unsuccessful");
cacheExprUnapplicable.insert(e);
}
}
}
// ----------------------- VALUE-BASED OPTIMIZATION -------------------------
if (OptimizeArray == VALUE ||
(OptimizeArray == ALL && (!result || valueOnly))) {
std::vector<const ReadExpr *> reads;
std::map<const ReadExpr *, std::pair<ref<Expr>, Expr::Width>> readInfo;
ArrayReadExprVisitor are(reads, readInfo);
are.visit(e);
std::reverse(reads.begin(), reads.end());
if (reads.empty() || are.isIncompatible()) {
cacheExprUnapplicable.insert(e);
return e;
}
ref<Expr> selectOpt =
getSelectOptExpr(e, reads, readInfo, are.containsSymbolic());
if (selectOpt) {
klee_warning("OPT_V: successful");
result = selectOpt;
cacheExprOptimized[e] = result;
} else {
klee_warning("OPT_V: unsuccessful");
cacheExprUnapplicable.insert(e);
}
}
if (!result)
return e;
return result;
}
bool ExprOptimizer::computeIndexes(array2idx_ty &arrays, const ref<Expr> &e,
mapIndexOptimizedExpr_ty &idx_valIdx) const {
bool success = false;
// For each constant array found
for (auto &element : arrays) {
const Array *arr = element.first;
assert(arr->isConstantArray() && "Array is not concrete");
assert(element.second.size() == 1 && "Multiple indexes on the same array");
IndexTransformationExprVisitor idxt_v(arr);
idxt_v.visit(e);
assert((idxt_v.getWidth() % arr->range == 0) && "Read is not aligned");
Expr::Width width = idxt_v.getWidth() / arr->range;
if (auto e = idxt_v.getMul()) {
// If we have a MulExpr in the index, we can optimize our search by
// skipping all those indexes that are not multiple of such value.
// In fact, they will be rejected by the MulExpr interpreter since it
// will not find any integer solution
auto ce = dyn_cast<ConstantExpr>(e);
assert(ce && "Not a constant expression");
uint64_t mulVal = (*ce->getAPValue().getRawData());
// So far we try to limit this optimization, but we may try some more
// aggressive conditions (i.e. mulVal > width)
if (width == 1 && mulVal > 1)
width = mulVal;
}
// For each concrete value 'i' stored in the array
for (size_t aIdx = 0; aIdx < arr->constantValues.size(); aIdx += width) {
auto *a = new Assignment();
std::vector<const Array *> objects;
std::vector<std::vector<unsigned char>> values;
// For each symbolic index Expr(k) found
for (auto &index_it : element.second) {
ref<Expr> idx = index_it;
ref<Expr> val = ConstantExpr::alloc(aIdx, arr->getDomain());
// We create a partial assignment on 'k' s.t. Expr(k)==i
bool assignmentSuccess =
AssignmentGenerator::generatePartialAssignment(idx, val, a);
success |= assignmentSuccess;
// If the assignment satisfies both the expression 'e' and the PC
ref<Expr> evaluation = a->evaluate(e);
if (assignmentSuccess && evaluation->isTrue()) {
if (idx_valIdx.find(idx) == idx_valIdx.end()) {
idx_valIdx.insert(std::make_pair(idx, std::vector<ref<Expr>>()));
}
idx_valIdx[idx].emplace_back(
ConstantExpr::alloc(aIdx, arr->getDomain()));
}
}
delete a;
}
}
return success;
}
ref<Expr> ExprOptimizer::getSelectOptExpr(
const ref<Expr> &e, std::vector<const ReadExpr *> &reads,
std::map<const ReadExpr *, std::pair<ref<Expr>, Expr::Width>> &readInfo,
bool isSymbolic) {
ref<Expr> notFound;
ref<Expr> toReturn;
// Array is concrete
if (!isSymbolic) {
ExprHashMap<ref<Expr>> optimized;
for (auto &read : reads) {
auto info = readInfo[read];
auto cached = cacheReadExprOptimized.find(const_cast<ReadExpr *>(read));
if (cached != cacheReadExprOptimized.end()) {
optimized.insert(std::make_pair(info.first, (*cached).second));
continue;
}
Expr::Width width = read->getWidth();
if (info.second > width) {
width = info.second;
}
unsigned size = read->updates.root->getSize();
unsigned bytesPerElement = width / 8;
unsigned elementsInArray = size / bytesPerElement;
// Note: we already filtered the ReadExpr, so here we can safely
// assume that the UpdateNodes contain ConstantExpr indexes and values
assert(read->updates.root->isConstantArray() &&
"Expected concrete array, found symbolic array");
// We need to read updates from lest recent to most recent, therefore
// reverse the list
std::vector<const UpdateNode *> us;
us.reserve(read->updates.getSize());
for (const UpdateNode *un = read->updates.head.get(); un;
un = un->next.get())
us.push_back(un);
auto arrayConstValues = read->updates.root->constantValues;
for (auto it = us.rbegin(); it != us.rend(); it++) {
const UpdateNode *un = *it;
auto ce = dyn_cast<ConstantExpr>(un->index);
assert(ce && "Not a constant expression");
uint64_t index = ce->getAPValue().getZExtValue();
assert(index < arrayConstValues.size());
auto arrayValue = dyn_cast<ConstantExpr>(un->value);
assert(arrayValue && "Not a constant expression");
arrayConstValues[index] = arrayValue;
}
std::vector<uint64_t> arrayValues;
// Get the concrete values from the array
for (unsigned i = 0; i < elementsInArray; i++) {
uint64_t val = 0;
for (unsigned j = 0; j < bytesPerElement; j++) {
val |= (*(
arrayConstValues[(i * bytesPerElement) + j]
.get()
->getAPValue()
.getRawData())
<< (j * 8));
}
arrayValues.push_back(val);
}
ref<Expr> index = UDivExpr::create(
read->index,
ConstantExpr::create(bytesPerElement, read->index->getWidth()));
ref<Expr> opt =
buildConstantSelectExpr(index, arrayValues, width, elementsInArray);
if (opt) {
cacheReadExprOptimized[const_cast<ReadExpr *>(read)] = opt;
optimized.insert(std::make_pair(info.first, opt));
}
}
ArrayValueOptReplaceVisitor replacer(optimized);
toReturn = replacer.visit(e);
}
// Array is mixed concrete/symbolic
// \pre: array is concrete && updatelist contains at least one symbolic value
// OR
// array is symbolic && updatelist contains at least one concrete value
else {
ExprHashMap<ref<Expr>> optimized;
for (auto &read : reads) {
auto info = readInfo[read];
auto cached = cacheReadExprOptimized.find(const_cast<ReadExpr *>(read));
if (cached != cacheReadExprOptimized.end()) {
optimized.insert(std::make_pair(info.first, (*cached).second));
continue;
}
Expr::Width width = read->getWidth();
if (info.second > width) {
width = info.second;
}
unsigned size = read->updates.root->getSize();
unsigned bytesPerElement = width / 8;
unsigned elementsInArray = size / bytesPerElement;
bool symbArray = read->updates.root->isSymbolicArray();
BitArray ba(size, symbArray);
// Note: we already filtered the ReadExpr, so here we can safely
// assume that the UpdateNodes contain ConstantExpr indexes, but in
// this case we *cannot* assume anything on the values
auto arrayConstValues = read->updates.root->constantValues;
if (arrayConstValues.size() < size) {
// We need to "force" initialization of the values
for (size_t i = arrayConstValues.size(); i < size; i++) {
arrayConstValues.push_back(ConstantExpr::create(0, Expr::Int8));
}
}
// We need to read updates from lest recent to most recent, therefore
// reverse the list
std::vector<const UpdateNode *> us;
us.reserve(read->updates.getSize());
for (const UpdateNode *un = read->updates.head.get(); un; un = un->next.get())
us.push_back(un);
for (auto it = us.rbegin(); it != us.rend(); it++) {
const UpdateNode *un = *it;
auto ce = dyn_cast<ConstantExpr>(un->index);
assert(ce && "Not a constant expression");
uint64_t index = ce->getAPValue().getLimitedValue();
if (!isa<ConstantExpr>(un->value)) {
ba.set(index);
} else {
ba.unset(index);
auto arrayValue =
dyn_cast<ConstantExpr>(un->value);
assert(arrayValue && "Not a constant expression");
arrayConstValues[index] = arrayValue;
}
}
std::vector<std::pair<uint64_t, bool>> arrayValues;
unsigned symByteNum = 0;
for (unsigned i = 0; i < elementsInArray; i++) {
uint64_t val = 0;
bool elementIsConcrete = true;
for (unsigned j = 0; j < bytesPerElement; j++) {
if (ba.get((i * bytesPerElement) + j)) {
elementIsConcrete = false;
break;
} else {
val |= (*(
arrayConstValues[(i * bytesPerElement) + j]
.get()
->getAPValue()
.getRawData())
<< (j * 8));
}
}
if (elementIsConcrete) {
arrayValues.emplace_back(val, true);
} else {
symByteNum++;
arrayValues.emplace_back(0, false);
}
}
if (((double)symByteNum / (double)elementsInArray) <=
ArrayValueSymbRatio) {
// If the optimization can be applied we apply it
// Build the dynamic select expression
ref<Expr> opt =
buildMixedSelectExpr(read, arrayValues, width, elementsInArray);
if (opt) {
cacheReadExprOptimized[const_cast<ReadExpr *>(read)] = opt;
optimized.insert(std::make_pair(info.first, opt));
}
}
}
ArrayValueOptReplaceVisitor replacer(optimized, false);
toReturn = replacer.visit(e);
}
return toReturn ? toReturn : notFound;
}
ref<Expr> ExprOptimizer::buildConstantSelectExpr(
const ref<Expr> &index, std::vector<uint64_t> &arrayValues,
Expr::Width width, unsigned arraySize) const {
std::vector<std::pair<uint64_t, uint64_t>> ranges;
std::vector<uint64_t> values;
std::set<uint64_t> unique_array_values;
ExprBuilder *builder = createDefaultExprBuilder();
Expr::Width valWidth = width;
ref<Expr> result;
ref<Expr> actualIndex;
if (index->getWidth() > Expr::Int32) {
actualIndex = ExtractExpr::alloc(index, 0, Expr::Int32);
} else {
actualIndex = index;
}
Expr::Width idxWidth = actualIndex->getWidth();
// Calculate the repeating values ranges in the constant array
unsigned curr_idx = 0;
uint64_t curr_val = arrayValues[0];
for (unsigned i = 0; i < arraySize; i++) {
uint64_t temp = arrayValues[i];
unique_array_values.insert(curr_val);
if (temp != curr_val) {
ranges.emplace_back(curr_idx, i);
values.push_back(curr_val);
curr_val = temp;
curr_idx = i;
if (i == (arraySize - 1)) {
ranges.emplace_back(curr_idx, i + 1);
values.push_back(curr_val);
}
} else if (i == (arraySize - 1)) {
ranges.emplace_back(curr_idx, i + 1);
values.push_back(curr_val);
}
}
if (((double)unique_array_values.size() / (double)(arraySize)) >=
ArrayValueRatio) {
return result;
}
std::map<uint64_t, std::vector<std::pair<uint64_t, uint64_t>>> exprMap;
for (size_t i = 0; i < ranges.size(); i++) {
if (exprMap.find(values[i]) != exprMap.end()) {
exprMap[values[i]].emplace_back(ranges[i].first, ranges[i].second);
} else {
if (exprMap.find(values[i]) == exprMap.end()) {
exprMap.insert(std::make_pair(
values[i], std::vector<std::pair<uint64_t, uint64_t>>()));
}
exprMap.find(values[i])->second.emplace_back(ranges[i].first,
ranges[i].second);
}
}
int ct = 0;
// For each range appropriately build the Select expression.
for (auto range : exprMap) {
ref<Expr> temp;
if (ct == 0) {
temp = builder->Constant(llvm::APInt(valWidth, range.first, false));
} else {
if (range.second.size() == 1) {
if (range.second[0].first == (range.second[0].second - 1)) {
temp = SelectExpr::create(
EqExpr::create(actualIndex,
builder->Constant(llvm::APInt(
idxWidth, range.second[0].first, false))),
builder->Constant(llvm::APInt(valWidth, range.first, false)),
result);
} else {
temp = SelectExpr::create(
AndExpr::create(
SgeExpr::create(actualIndex,
builder->Constant(llvm::APInt(
idxWidth, range.second[0].first, false))),
SltExpr::create(
actualIndex,
builder->Constant(llvm::APInt(
idxWidth, range.second[0].second, false)))),
builder->Constant(llvm::APInt(valWidth, range.first, false)),
result);
}
} else {
ref<Expr> currOr;
if (range.second[0].first == (range.second[0].second - 1)) {
currOr = EqExpr::create(actualIndex,
builder->Constant(llvm::APInt(
idxWidth, range.second[0].first, false)));
} else {
currOr = AndExpr::create(
SgeExpr::create(actualIndex,
builder->Constant(llvm::APInt(
idxWidth, range.second[0].first, false))),
SltExpr::create(actualIndex,
builder->Constant(llvm::APInt(
idxWidth, range.second[0].second, false))));
}
for (size_t i = 1; i < range.second.size(); i++) {
ref<Expr> tempOr;
if (range.second[i].first == (range.second[i].second - 1)) {
tempOr = OrExpr::create(
EqExpr::create(actualIndex,
builder->Constant(llvm::APInt(
idxWidth, range.second[i].first, false))),
currOr);
} else {
tempOr = OrExpr::create(
AndExpr::create(
SgeExpr::create(
actualIndex,
builder->Constant(llvm::APInt(
idxWidth, range.second[i].first, false))),
SltExpr::create(
actualIndex,
builder->Constant(llvm::APInt(
idxWidth, range.second[i].second, false)))),
currOr);
}
currOr = tempOr;
}
temp = SelectExpr::create(currOr, builder->Constant(llvm::APInt(
valWidth, range.first, false)),
result);
}
}
result = temp;
ct++;
}
delete (builder);
return result;
}
ref<Expr> ExprOptimizer::buildMixedSelectExpr(
const ReadExpr *re, std::vector<std::pair<uint64_t, bool>> &arrayValues,
Expr::Width width, unsigned elementsInArray) const {
ExprBuilder *builder = createDefaultExprBuilder();
std::vector<uint64_t> values;
std::vector<std::pair<uint64_t, uint64_t>> ranges;
std::vector<uint64_t> holes;
std::set<uint64_t> unique_array_values;
unsigned arraySize = elementsInArray;
unsigned curr_idx = 0;
uint64_t curr_val = arrayValues[0].first;
bool emptyRange = true;
// Calculate Range values
for (size_t i = 0; i < arrayValues.size(); i++) {
// If the value is concrete
if (arrayValues[i].second) {
// The range contains a concrete value
emptyRange = false;
uint64_t temp = arrayValues[i].first;
unique_array_values.insert(temp);
if (temp != curr_val) {
ranges.emplace_back(curr_idx, i);
values.push_back(curr_val);
curr_val = temp;
curr_idx = i;
if (i == (arraySize - 1)) {
ranges.emplace_back(curr_idx, curr_idx + 1);
values.push_back(curr_val);
}
} else if (i == (arraySize - 1)) {
ranges.emplace_back(curr_idx, i + 1);
values.push_back(curr_val);
}
} else {
holes.push_back(i);
// If this is not an empty range
if (!emptyRange) {
ranges.emplace_back(curr_idx, i);
values.push_back(curr_val);
}
curr_val = arrayValues[i + 1].first;
curr_idx = i + 1;
emptyRange = true;
}
}
assert(!unique_array_values.empty() && "No unique values");
assert(!ranges.empty() && "No ranges");
ref<Expr> result;
if (((double)unique_array_values.size() / (double)(arraySize)) <=
ArrayValueRatio) {
// The final "else" expression will be the original unoptimized array read
// expression
unsigned range_start = 0;
if (holes.empty()) {
result = builder->Constant(llvm::APInt(width, values[0], false));
range_start = 1;
} else {
ref<Expr> firstIndex = MulExpr::create(
ConstantExpr::create(holes[0], re->index->getWidth()),
ConstantExpr::create(width / 8, re->index->getWidth()));
result = extendRead(re->updates, firstIndex, width);
for (size_t i = 1; i < holes.size(); i++) {
ref<Expr> temp_idx = MulExpr::create(
ConstantExpr::create(holes[i], re->index->getWidth()),
ConstantExpr::create(width / 8, re->index->getWidth()));
ref<Expr> cond = EqExpr::create(re->index, temp_idx);
ref<Expr> temp = SelectExpr::create(
cond, extendRead(re->updates, temp_idx, width), result);
result = temp;
}
}
ref<Expr> new_index = UDivExpr::create(
re->index, ConstantExpr::create(width / 8, re->index->getWidth()));
int new_index_width = new_index->getWidth();
// Iterate through all the ranges
for (size_t i = range_start; i < ranges.size(); i++) {
ref<Expr> temp;
if (ranges[i].second - 1 == ranges[i].first) {
ref<Expr> cond = EqExpr::create(
new_index, ConstantExpr::create(ranges[i].first, new_index_width));
ref<Expr> t = ConstantExpr::create(values[i], width);
ref<Expr> f = result;
temp = SelectExpr::create(cond, t, f);
} else {
// Create the select constraint
ref<Expr> cond = AndExpr::create(
SgeExpr::create(new_index, ConstantExpr::create(ranges[i].first,
new_index_width)),
SltExpr::create(new_index, ConstantExpr::create(ranges[i].second,
new_index_width)));
ref<Expr> t = ConstantExpr::create(values[i], width);
ref<Expr> f = result;
temp = SelectExpr::create(cond, t, f);
}
result = temp;
}
}
delete (builder);
return result;
}
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