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gps/tools/local/circt/include/mlir/Analysis/Presburger/LinearTransform.h
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//===- LinearTransform.h - MLIR LinearTransform Class -----------*- C++ -*-===//
//
// 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
//
//===----------------------------------------------------------------------===//
//
// Support for linear transforms and applying them to an IntegerRelation.
//
//===----------------------------------------------------------------------===//
#ifndef MLIR_ANALYSIS_PRESBURGER_LINEARTRANSFORM_H
#define MLIR_ANALYSIS_PRESBURGER_LINEARTRANSFORM_H
#include "mlir/Analysis/Presburger/IntegerRelation.h"
#include "mlir/Analysis/Presburger/Matrix.h"
#include "llvm/ADT/SmallVector.h"
namespace mlir {
namespace presburger {
class LinearTransform {
public:
explicit LinearTransform(IntMatrix &&oMatrix);
explicit LinearTransform(const IntMatrix &oMatrix);
// Returns a linear transform T such that MT is M in column echelon form.
// Also returns the number of non-zero columns in MT.
//
// Specifically, T is such that in every column the first non-zero row is
// strictly below that of the previous column, and all columns which have only
// zeros are at the end.
static std::pair<unsigned, LinearTransform>
makeTransformToColumnEchelon(const IntMatrix &m);
// Returns an IntegerRelation having a constraint vector vT for every
// constraint vector v in rel, where T is this transform.
IntegerRelation applyTo(const IntegerRelation &rel) const;
// The given vector is interpreted as a row vector v. Post-multiply v with
// this transform, say T, and return vT.
SmallVector<DynamicAPInt, 8>
preMultiplyWithRow(ArrayRef<DynamicAPInt> rowVec) const {
return matrix.preMultiplyWithRow(rowVec);
}
// The given vector is interpreted as a column vector v. Pre-multiply v with
// this transform, say T, and return Tv.
SmallVector<DynamicAPInt, 8>
postMultiplyWithColumn(ArrayRef<DynamicAPInt> colVec) const {
return matrix.postMultiplyWithColumn(colVec);
}
private:
IntMatrix matrix;
};
} // namespace presburger
} // namespace mlir
#endif // MLIR_ANALYSIS_PRESBURGER_LINEARTRANSFORM_H