xref: /llvm-project/mlir/lib/Analysis/Presburger/LinearTransform.cpp (revision 266a5a9cb9daa96c1eeaebc18e10f5a37d638734)
1 //===- LinearTransform.cpp - MLIR LinearTransform Class -------------------===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //
7 //===----------------------------------------------------------------------===//
8 
9 #include "mlir/Analysis/Presburger/LinearTransform.h"
10 #include "mlir/Analysis/Presburger/IntegerRelation.h"
11 #include "mlir/Analysis/Presburger/Matrix.h"
12 #include <utility>
13 
14 using namespace mlir;
15 using namespace presburger;
16 
17 LinearTransform::LinearTransform(IntMatrix &&oMatrix) : matrix(oMatrix) {}
18 LinearTransform::LinearTransform(const IntMatrix &oMatrix) : matrix(oMatrix) {}
19 
20 std::pair<unsigned, LinearTransform>
21 LinearTransform::makeTransformToColumnEchelon(const IntMatrix &m) {
22   // Compute the hermite normal form of m. This, is by definition, is in column
23   // echelon form.
24   auto [h, u] = m.computeHermiteNormalForm();
25 
26   // Since the matrix is in column ecehlon form, a zero column means the rest of
27   // the columns are zero. Thus, once we find a zero column, we can stop.
28   unsigned col, e;
29   for (col = 0, e = m.getNumColumns(); col < e; ++col) {
30     bool zeroCol = true;
31     for (unsigned row = 0, f = m.getNumRows(); row < f; ++row) {
32       if (h(row, col) != 0) {
33         zeroCol = false;
34         break;
35       }
36     }
37 
38     if (zeroCol)
39       break;
40   }
41 
42   return {col, LinearTransform(std::move(u))};
43 }
44 
45 IntegerRelation LinearTransform::applyTo(const IntegerRelation &rel) const {
46   IntegerRelation result(rel.getSpace());
47 
48   for (unsigned i = 0, e = rel.getNumEqualities(); i < e; ++i) {
49     ArrayRef<DynamicAPInt> eq = rel.getEquality(i);
50 
51     const DynamicAPInt &c = eq.back();
52 
53     SmallVector<DynamicAPInt, 8> newEq = preMultiplyWithRow(eq.drop_back());
54     newEq.emplace_back(c);
55     result.addEquality(newEq);
56   }
57 
58   for (unsigned i = 0, e = rel.getNumInequalities(); i < e; ++i) {
59     ArrayRef<DynamicAPInt> ineq = rel.getInequality(i);
60 
61     const DynamicAPInt &c = ineq.back();
62 
63     SmallVector<DynamicAPInt, 8> newIneq = preMultiplyWithRow(ineq.drop_back());
64     newIneq.emplace_back(c);
65     result.addInequality(newIneq);
66   }
67 
68   return result;
69 }
70