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* Fix a compilation issue with large fixed-size matrices: the unrollers were always instanciated.

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* the unrolling limits are configurable at compile time.
This commit is contained in:
Gael Guennebaud
2008-03-05 13:18:19 +00:00
parent 861c6f4c9b
commit 8e0d548039
9 changed files with 76 additions and 45 deletions
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24
test/adjoint.cpp
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@@ -5,12 +5,12 @@
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
@@ -18,7 +18,7 @@
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
@@ -36,7 +36,7 @@ template<typename MatrixType> void adjoint(const MatrixType& m)
typedef Matrix<Scalar, MatrixType::Traits::RowsAtCompileTime, 1> VectorType;
int rows = m.rows();
int cols = m.cols();
MatrixType m1 = MatrixType::random(rows, cols),
m2 = MatrixType::random(rows, cols),
m3(rows, cols),
@@ -52,18 +52,18 @@ template<typename MatrixType> void adjoint(const MatrixType& m)
Scalar s1 = ei_random<Scalar>(),
s2 = ei_random<Scalar>();
// check involutivity of adjoint, transpose, conjugate
VERIFY_IS_APPROX(m1.transpose().transpose(), m1);
VERIFY_IS_APPROX(m1.conjugate().conjugate(), m1);
VERIFY_IS_APPROX(m1.adjoint().adjoint(), m1);
// check basic compatibility of adjoint, transpose, conjugate
VERIFY_IS_APPROX(m1.transpose().conjugate().adjoint(), m1);
VERIFY_IS_APPROX(m1.adjoint().conjugate().transpose(), m1);
if(!NumTraits<Scalar>::IsComplex)
VERIFY_IS_APPROX(m1.adjoint().transpose(), m1);
// check multiplicative behavior
VERIFY_IS_APPROX((m1.transpose() * m2).transpose(), m2.transpose() * m1);
VERIFY_IS_APPROX((m1.adjoint() * m2).adjoint(), m2.adjoint() * m1);
@@ -71,7 +71,7 @@ template<typename MatrixType> void adjoint(const MatrixType& m)
VERIFY_IS_APPROX((s1 * m1).transpose(), s1 * m1.transpose());
VERIFY_IS_APPROX((s1 * m1).conjugate(), ei_conj(s1) * m1.conjugate());
VERIFY_IS_APPROX((s1 * m1).adjoint(), ei_conj(s1) * m1.adjoint());
// check basic properties of dot, norm, norm2
typedef typename NumTraits<Scalar>::Real RealScalar;
VERIFY_IS_APPROX((s1 * v1 + s2 * v2).dot(v3), s1 * v1.dot(v3) + s2 * v2.dot(v3));
@@ -83,16 +83,16 @@ template<typename MatrixType> void adjoint(const MatrixType& m)
VERIFY_IS_MUCH_SMALLER_THAN(ei_abs(vzero.dot(v1)), static_cast<RealScalar>(1));
if(NumTraits<Scalar>::HasFloatingPoint)
VERIFY_IS_MUCH_SMALLER_THAN(vzero.norm(), static_cast<RealScalar>(1));
// check compatibility of dot and adjoint
VERIFY_IS_APPROX(v1.dot(square * v2), (square.adjoint() * v1).dot(v2));
// like in testBasicStuff, test operator() to check const-qualification
int r = ei_random<int>(0, rows-1),
c = ei_random<int>(0, cols-1);
VERIFY_IS_APPROX(m1.conjugate()(r,c), ei_conj(m1(r,c)));
VERIFY_IS_APPROX(m1.adjoint()(c,r), ei_conj(m1(r,c)));
}
void EigenTest::testAdjoint()
@@ -104,6 +104,8 @@ void EigenTest::testAdjoint()
adjoint(MatrixXi(8, 12));
adjoint(MatrixXcd(20, 20));
}
// test a large matrix only once
adjoint(Matrix<float, 100, 100>());
}
} // namespace Eigen