mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-04-21 09:09:36 +08:00
145 lines
7.2 KiB
C++
145 lines
7.2 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
|
|
// for linear algebra.
|
|
//
|
|
// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
|
|
//
|
|
// This Source Code Form is subject to the terms of the Mozilla
|
|
// Public License v. 2.0. If a copy of the MPL was not distributed
|
|
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
|
|
|
|
#include "main.h"
|
|
|
|
template <typename T>
|
|
int get_random_size() {
|
|
const int factor = NumTraits<T>::ReadCost;
|
|
const int max_test_size = EIGEN_TEST_MAX_SIZE > 2 * factor ? EIGEN_TEST_MAX_SIZE / factor : EIGEN_TEST_MAX_SIZE;
|
|
return internal::random<int>(1, max_test_size);
|
|
}
|
|
|
|
template <typename Scalar, int Mode, int TriOrder, int OtherOrder, int ResOrder, int OtherCols>
|
|
void trmm(int rows = get_random_size<Scalar>(), int cols = get_random_size<Scalar>(),
|
|
int otherCols = OtherCols == Dynamic ? get_random_size<Scalar>() : OtherCols) {
|
|
typedef Matrix<Scalar, Dynamic, Dynamic, TriOrder> TriMatrix;
|
|
typedef Matrix<Scalar, Dynamic, OtherCols, OtherCols == 1 ? ColMajor : OtherOrder> OnTheRight;
|
|
typedef Matrix<Scalar, OtherCols, Dynamic, OtherCols == 1 ? RowMajor : OtherOrder> OnTheLeft;
|
|
|
|
typedef Matrix<Scalar, Dynamic, OtherCols, OtherCols == 1 ? ColMajor : ResOrder> ResXS;
|
|
typedef Matrix<Scalar, OtherCols, Dynamic, OtherCols == 1 ? RowMajor : ResOrder> ResSX;
|
|
|
|
TriMatrix mat(rows, cols), tri(rows, cols), triTr(cols, rows), s1tri(rows, cols), s1triTr(cols, rows);
|
|
|
|
OnTheRight ge_right(cols, otherCols);
|
|
OnTheLeft ge_left(otherCols, rows);
|
|
ResSX ge_sx, ge_sx_save;
|
|
ResXS ge_xs, ge_xs_save;
|
|
|
|
Scalar s1 = internal::random<Scalar>(), s2 = internal::random<Scalar>();
|
|
|
|
mat.setRandom();
|
|
tri = mat.template triangularView<Mode>();
|
|
triTr = mat.transpose().template triangularView<Mode>();
|
|
s1tri = (s1 * mat).template triangularView<Mode>();
|
|
s1triTr = (s1 * mat).transpose().template triangularView<Mode>();
|
|
ge_right.setRandom();
|
|
ge_left.setRandom();
|
|
|
|
VERIFY_IS_APPROX(ge_xs = mat.template triangularView<Mode>() * ge_right, tri * ge_right);
|
|
VERIFY_IS_APPROX(ge_sx = ge_left * mat.template triangularView<Mode>(), ge_left * tri);
|
|
|
|
VERIFY_IS_APPROX(ge_xs.noalias() = mat.template triangularView<Mode>() * ge_right, tri * ge_right);
|
|
VERIFY_IS_APPROX(ge_sx.noalias() = ge_left * mat.template triangularView<Mode>(), ge_left * tri);
|
|
|
|
if ((Mode & UnitDiag) == 0)
|
|
VERIFY_IS_APPROX(
|
|
ge_xs.noalias() = (s1 * mat.adjoint()).template triangularView<Mode>() * (s2 * ge_left.transpose()),
|
|
s1 * triTr.conjugate() * (s2 * ge_left.transpose()));
|
|
|
|
VERIFY_IS_APPROX(
|
|
ge_xs.noalias() = (s1 * mat.transpose()).template triangularView<Mode>() * (s2 * ge_left.transpose()),
|
|
s1triTr * (s2 * ge_left.transpose()));
|
|
VERIFY_IS_APPROX(ge_sx.noalias() = (s2 * ge_left) * (s1 * mat).template triangularView<Mode>(),
|
|
(s2 * ge_left) * s1tri);
|
|
|
|
VERIFY_IS_APPROX(ge_sx.noalias() = ge_right.transpose() * mat.adjoint().template triangularView<Mode>(),
|
|
ge_right.transpose() * triTr.conjugate());
|
|
VERIFY_IS_APPROX(ge_sx.noalias() = ge_right.adjoint() * mat.adjoint().template triangularView<Mode>(),
|
|
ge_right.adjoint() * triTr.conjugate());
|
|
|
|
ge_xs_save = ge_xs;
|
|
if ((Mode & UnitDiag) == 0)
|
|
VERIFY_IS_APPROX(
|
|
(ge_xs_save + s1 * triTr.conjugate() * (s2 * ge_left.adjoint())).eval(),
|
|
ge_xs.noalias() += (s1 * mat.adjoint()).template triangularView<Mode>() * (s2 * ge_left.adjoint()));
|
|
ge_xs_save = ge_xs;
|
|
VERIFY_IS_APPROX(
|
|
(ge_xs_save + s1triTr * (s2 * ge_left.adjoint())).eval(),
|
|
ge_xs.noalias() += (s1 * mat.transpose()).template triangularView<Mode>() * (s2 * ge_left.adjoint()));
|
|
ge_sx.setRandom();
|
|
ge_sx_save = ge_sx;
|
|
if ((Mode & UnitDiag) == 0)
|
|
VERIFY_IS_APPROX(
|
|
ge_sx_save - (ge_right.adjoint() * (-s1 * triTr).conjugate()).eval(),
|
|
ge_sx.noalias() -= (ge_right.adjoint() * (-s1 * mat).adjoint().template triangularView<Mode>()).eval());
|
|
|
|
if ((Mode & UnitDiag) == 0)
|
|
VERIFY_IS_APPROX(ge_xs = (s1 * mat).adjoint().template triangularView<Mode>() * ge_left.adjoint(),
|
|
numext::conj(s1) * triTr.conjugate() * ge_left.adjoint());
|
|
VERIFY_IS_APPROX(ge_xs = (s1 * mat).transpose().template triangularView<Mode>() * ge_left.adjoint(),
|
|
s1triTr * ge_left.adjoint());
|
|
|
|
// TODO check with sub-matrix expressions ?
|
|
|
|
// destination with a non-default inner-stride
|
|
// see bug 1741
|
|
{
|
|
VERIFY_IS_APPROX(ge_xs.noalias() = mat.template triangularView<Mode>() * ge_right, tri * ge_right);
|
|
typedef Matrix<Scalar, Dynamic, Dynamic> MatrixX;
|
|
MatrixX buffer(2 * ge_xs.rows(), 2 * ge_xs.cols());
|
|
Map<ResXS, 0, Stride<Dynamic, 2> > map1(buffer.data(), ge_xs.rows(), ge_xs.cols(),
|
|
Stride<Dynamic, 2>(2 * ge_xs.outerStride(), 2));
|
|
buffer.setZero();
|
|
VERIFY_IS_APPROX(map1.noalias() = mat.template triangularView<Mode>() * ge_right, tri * ge_right);
|
|
}
|
|
}
|
|
|
|
template <typename Scalar, int Mode, int TriOrder>
|
|
void trmv(int rows = get_random_size<Scalar>(), int cols = get_random_size<Scalar>()) {
|
|
trmm<Scalar, Mode, TriOrder, ColMajor, ColMajor, 1>(rows, cols, 1);
|
|
}
|
|
|
|
template <typename Scalar, int Mode, int TriOrder, int OtherOrder, int ResOrder>
|
|
void trmm(int rows = get_random_size<Scalar>(), int cols = get_random_size<Scalar>(),
|
|
int otherCols = get_random_size<Scalar>()) {
|
|
trmm<Scalar, Mode, TriOrder, OtherOrder, ResOrder, Dynamic>(rows, cols, otherCols);
|
|
}
|
|
|
|
#define CALL_ALL_ORDERS(NB, SCALAR, MODE) \
|
|
EIGEN_CAT(CALL_SUBTEST_, NB)((trmm<SCALAR, MODE, ColMajor, ColMajor, ColMajor>())); \
|
|
EIGEN_CAT(CALL_SUBTEST_, NB)((trmm<SCALAR, MODE, ColMajor, ColMajor, RowMajor>())); \
|
|
EIGEN_CAT(CALL_SUBTEST_, NB)((trmm<SCALAR, MODE, ColMajor, RowMajor, ColMajor>())); \
|
|
EIGEN_CAT(CALL_SUBTEST_, NB)((trmm<SCALAR, MODE, ColMajor, RowMajor, RowMajor>())); \
|
|
EIGEN_CAT(CALL_SUBTEST_, NB)((trmm<SCALAR, MODE, RowMajor, ColMajor, ColMajor>())); \
|
|
EIGEN_CAT(CALL_SUBTEST_, NB)((trmm<SCALAR, MODE, RowMajor, ColMajor, RowMajor>())); \
|
|
EIGEN_CAT(CALL_SUBTEST_, NB)((trmm<SCALAR, MODE, RowMajor, RowMajor, ColMajor>())); \
|
|
EIGEN_CAT(CALL_SUBTEST_, NB)((trmm<SCALAR, MODE, RowMajor, RowMajor, RowMajor>())); \
|
|
\
|
|
EIGEN_CAT(CALL_SUBTEST_1, NB)((trmv<SCALAR, MODE, ColMajor>())); \
|
|
EIGEN_CAT(CALL_SUBTEST_1, NB)((trmv<SCALAR, MODE, RowMajor>()));
|
|
|
|
#define CALL_ALL(NB, SCALAR) \
|
|
CALL_ALL_ORDERS(EIGEN_CAT(1, NB), SCALAR, Upper) \
|
|
CALL_ALL_ORDERS(EIGEN_CAT(2, NB), SCALAR, UnitUpper) \
|
|
CALL_ALL_ORDERS(EIGEN_CAT(3, NB), SCALAR, StrictlyUpper) \
|
|
CALL_ALL_ORDERS(EIGEN_CAT(1, NB), SCALAR, Lower) \
|
|
CALL_ALL_ORDERS(EIGEN_CAT(2, NB), SCALAR, UnitLower) \
|
|
CALL_ALL_ORDERS(EIGEN_CAT(3, NB), SCALAR, StrictlyLower)
|
|
|
|
EIGEN_DECLARE_TEST(product_trmm) {
|
|
for (int i = 0; i < g_repeat; i++) {
|
|
CALL_ALL(1, float); // EIGEN_SUFFIXES;11;111;21;121;31;131
|
|
CALL_ALL(2, double); // EIGEN_SUFFIXES;12;112;22;122;32;132
|
|
CALL_ALL(3, std::complex<float>); // EIGEN_SUFFIXES;13;113;23;123;33;133
|
|
CALL_ALL(4, std::complex<double>); // EIGEN_SUFFIXES;14;114;24;124;34;134
|
|
}
|
|
}
|