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//===- AffineValueMap.cpp - MLIR Affine Value Map Class -------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/Affine/IR/AffineValueMap.h"
#include "mlir/Dialect/Affine/IR/AffineOps.h"
using namespace mlir;
using namespace mlir::affine;
AffineValueMap::AffineValueMap(AffineMap map, ValueRange operands,
ValueRange results)
: map(map), operands(operands.begin(), operands.end()),
results(results.begin(), results.end()) {}
void AffineValueMap::reset(AffineMap map, ValueRange operands,
ValueRange results) {
this->map.reset(map);
this->operands.assign(operands.begin(), operands.end());
this->results.assign(results.begin(), results.end());
}
void AffineValueMap::difference(const AffineValueMap &a,
const AffineValueMap &b, AffineValueMap *res) {
assert(a.getNumResults() == b.getNumResults() && "invalid inputs");
SmallVector<Value, 4> allOperands;
allOperands.reserve(a.getNumOperands() + b.getNumOperands());
auto aDims = a.getOperands().take_front(a.getNumDims());
auto bDims = b.getOperands().take_front(b.getNumDims());
auto aSyms = a.getOperands().take_back(a.getNumSymbols());
auto bSyms = b.getOperands().take_back(b.getNumSymbols());
allOperands.append(aDims.begin(), aDims.end());
allOperands.append(bDims.begin(), bDims.end());
allOperands.append(aSyms.begin(), aSyms.end());
allOperands.append(bSyms.begin(), bSyms.end());
// Shift dims and symbols of b's map.
auto bMap = b.getAffineMap()
.shiftDims(a.getNumDims())
.shiftSymbols(a.getNumSymbols());
// Construct the difference expressions.
auto aMap = a.getAffineMap();
SmallVector<AffineExpr, 4> diffExprs;
diffExprs.reserve(a.getNumResults());
for (unsigned i = 0, e = bMap.getNumResults(); i < e; ++i)
diffExprs.push_back(aMap.getResult(i) - bMap.getResult(i));
auto diffMap = AffineMap::get(bMap.getNumDims(), bMap.getNumSymbols(),
diffExprs, bMap.getContext());
fullyComposeAffineMapAndOperands(&diffMap, &allOperands);
canonicalizeMapAndOperands(&diffMap, &allOperands);
diffMap = simplifyAffineMap(diffMap);
res->reset(diffMap, allOperands);
}
// Returns true and sets 'indexOfMatch' if 'valueToMatch' is found in
// 'valuesToSearch' beginning at 'indexStart'. Returns false otherwise.
static bool findIndex(Value valueToMatch, ArrayRef<Value> valuesToSearch,
unsigned indexStart, unsigned *indexOfMatch) {
unsigned size = valuesToSearch.size();
for (unsigned i = indexStart; i < size; ++i) {
if (valueToMatch == valuesToSearch[i]) {
*indexOfMatch = i;
return true;
}
}
return false;
}
bool AffineValueMap::isMultipleOf(unsigned idx, int64_t factor) const {
return map.isMultipleOf(idx, factor);
}
/// This method uses the invariant that operands are always positionally aligned
/// with the AffineDimExpr in the underlying AffineMap.
bool AffineValueMap::isFunctionOf(unsigned idx, Value value) const {
unsigned index;
if (!findIndex(value, operands, /*indexStart=*/0, &index)) {
return false;
}
auto expr = const_cast<AffineValueMap *>(this)->getAffineMap().getResult(idx);
// TODO: this is better implemented on a flattened representation.
// At least for now it is conservative.
return expr.isFunctionOfDim(index);
}
Value AffineValueMap::getOperand(unsigned i) const {
return static_cast<Value>(operands[i]);
}
ArrayRef<Value> AffineValueMap::getOperands() const {
return ArrayRef<Value>(operands);
}
AffineMap AffineValueMap::getAffineMap() const { return map.getAffineMap(); }
AffineValueMap::~AffineValueMap() = default;
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