| //===- LinearTransformTest.cpp - Tests for LinearTransform ----------------===// |
| // |
| // 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/Analysis/LinearTransform.h" |
| #include <gmock/gmock.h> |
| #include <gtest/gtest.h> |
| |
| namespace mlir { |
| |
| void testColumnEchelonForm(const Matrix &m, unsigned expectedRank) { |
| unsigned lastAllowedNonZeroCol = 0; |
| std::pair<unsigned, LinearTransform> result = |
| LinearTransform::makeTransformToColumnEchelon(m); |
| unsigned rank = result.first; |
| EXPECT_EQ(rank, expectedRank); |
| LinearTransform transform = result.second; |
| // In column echelon form, each row's last non-zero value can be at most one |
| // column to the right of the last non-zero column among the previous rows. |
| for (unsigned row = 0, nRows = m.getNumRows(); row < nRows; ++row) { |
| SmallVector<int64_t, 8> rowVec = transform.postMultiplyRow(m.getRow(row)); |
| for (unsigned col = lastAllowedNonZeroCol + 1, nCols = m.getNumColumns(); |
| col < nCols; ++col) { |
| EXPECT_EQ(rowVec[col], 0); |
| if (rowVec[col] != 0) { |
| llvm::errs() << "Failed at input matrix:\n"; |
| m.dump(); |
| } |
| } |
| if (rowVec[lastAllowedNonZeroCol] != 0) |
| lastAllowedNonZeroCol++; |
| } |
| // The final value of lastAllowedNonZeroCol is the index of the first |
| // all-zeros column, so it must be equal to the rank. |
| EXPECT_EQ(lastAllowedNonZeroCol, rank); |
| } |
| |
| TEST(LinearTransformTest, transformToColumnEchelonTest) { |
| // m1, m2, m3 are rank 1 matrices -- the first and second rows are identical. |
| Matrix m1(2, 2); |
| m1(0, 0) = 4; |
| m1(0, 1) = -7; |
| m1(1, 0) = 4; |
| m1(1, 1) = -7; |
| testColumnEchelonForm(m1, 1u); |
| |
| Matrix m2(2, 2); |
| m2(0, 0) = -4; |
| m2(0, 1) = 7; |
| m2(1, 0) = 4; |
| m2(1, 1) = -7; |
| testColumnEchelonForm(m2, 1u); |
| |
| Matrix m3(2, 2); |
| m3(0, 0) = -4; |
| m3(0, 1) = -7; |
| m3(1, 0) = -4; |
| m3(1, 1) = -7; |
| testColumnEchelonForm(m3, 1u); |
| |
| // m4, m5, m6 are rank 2 matrices -- the first and second rows are different. |
| Matrix m4(2, 2); |
| m4(0, 0) = 4; |
| m4(0, 1) = -7; |
| m4(1, 0) = -4; |
| m4(1, 1) = -7; |
| testColumnEchelonForm(m4, 2u); |
| |
| Matrix m5(2, 2); |
| m5(0, 0) = -4; |
| m5(0, 1) = 7; |
| m5(1, 0) = 4; |
| m5(1, 1) = 7; |
| testColumnEchelonForm(m5, 2u); |
| |
| Matrix m6(2, 2); |
| m6(0, 0) = -4; |
| m6(0, 1) = -7; |
| m6(1, 0) = 4; |
| m6(1, 1) = -7; |
| testColumnEchelonForm(m5, 2u); |
| } |
| } // namespace mlir |