mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-21 07:19:46 +08:00
bc6d78982f
* add lots of static assertions making it very explicit when all these ops
are supposed to work:
** all ops require the rhs vector to go in the right direction
** all ops already require that the lhs and rhs are of the same kind
(matrix vs vector) otherwise we'd have to do complex work
** multiplicative ops (introduced Kibeom's patch) are restricted to arrays, if only because for matrices they could be ambiguous.
* add a new test, vectorwiseop.cpp.
* these compound-assign operators used to be implemented with for loops:
for(Index j=0; j<subVectors(); ++j)
subVector(j).array() += other.derived().array();
This didn't seem to be needed; replaced by using expressions like operator+ and operator- did.
188 lines
6.1 KiB
C++
188 lines
6.1 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
|
|
// for linear algebra.
|
|
//
|
|
// Copyright (C) 2011 Benoit Jacob <jacob.benoit.1@gmail.com>
|
|
//
|
|
// 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
|
|
// 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
|
|
// the License, or (at your option) any later version.
|
|
//
|
|
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
|
|
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
|
|
// 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
|
|
// License and a copy of the GNU General Public License along with
|
|
// Eigen. If not, see <http://www.gnu.org/licenses/>.
|
|
|
|
#define EIGEN_NO_STATIC_ASSERT
|
|
|
|
#include "main.h"
|
|
|
|
template<typename ArrayType> void vectorwiseop_array(const ArrayType& m)
|
|
{
|
|
typedef typename ArrayType::Index Index;
|
|
typedef typename ArrayType::Scalar Scalar;
|
|
typedef typename NumTraits<Scalar>::Real RealScalar;
|
|
typedef Array<Scalar, ArrayType::RowsAtCompileTime, 1> ColVectorType;
|
|
typedef Array<Scalar, 1, ArrayType::ColsAtCompileTime> RowVectorType;
|
|
|
|
Index rows = m.rows();
|
|
Index cols = m.cols();
|
|
Index r = internal::random<Index>(0, rows-1),
|
|
c = internal::random<Index>(0, cols-1);
|
|
|
|
ArrayType m1 = ArrayType::Random(rows, cols),
|
|
m2(rows, cols),
|
|
m3(rows, cols);
|
|
|
|
ColVectorType colvec = ColVectorType::Random(rows);
|
|
RowVectorType rowvec = RowVectorType::Random(cols);
|
|
|
|
// test addition
|
|
|
|
m2 = m1;
|
|
m2.colwise() += colvec;
|
|
VERIFY_IS_APPROX(m2, m1.colwise() + colvec);
|
|
VERIFY_IS_APPROX(m2.col(c), m1.col(c) + colvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.colwise() += colvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.colwise() + colvec.transpose());
|
|
|
|
m2 = m1;
|
|
m2.rowwise() += rowvec;
|
|
VERIFY_IS_APPROX(m2, m1.rowwise() + rowvec);
|
|
VERIFY_IS_APPROX(m2.row(r), m1.row(r) + rowvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.rowwise() += rowvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.rowwise() + rowvec.transpose());
|
|
|
|
// test substraction
|
|
|
|
m2 = m1;
|
|
m2.colwise() -= colvec;
|
|
VERIFY_IS_APPROX(m2, m1.colwise() - colvec);
|
|
VERIFY_IS_APPROX(m2.col(c), m1.col(c) - colvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.colwise() -= colvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.colwise() - colvec.transpose());
|
|
|
|
m2 = m1;
|
|
m2.rowwise() -= rowvec;
|
|
VERIFY_IS_APPROX(m2, m1.rowwise() - rowvec);
|
|
VERIFY_IS_APPROX(m2.row(r), m1.row(r) - rowvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.rowwise() -= rowvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.rowwise() - rowvec.transpose());
|
|
|
|
// test multiplication
|
|
|
|
m2 = m1;
|
|
m2.colwise() *= colvec;
|
|
VERIFY_IS_APPROX(m2, m1.colwise() * colvec);
|
|
VERIFY_IS_APPROX(m2.col(c), m1.col(c) * colvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.colwise() *= colvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.colwise() * colvec.transpose());
|
|
|
|
m2 = m1;
|
|
m2.rowwise() *= rowvec;
|
|
VERIFY_IS_APPROX(m2, m1.rowwise() * rowvec);
|
|
VERIFY_IS_APPROX(m2.row(r), m1.row(r) * rowvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.rowwise() *= rowvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.rowwise() * rowvec.transpose());
|
|
|
|
// test quotient
|
|
|
|
m2 = m1;
|
|
m2.colwise() /= colvec;
|
|
VERIFY_IS_APPROX(m2, m1.colwise() / colvec);
|
|
VERIFY_IS_APPROX(m2.col(c), m1.col(c) / colvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.colwise() /= colvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.colwise() / colvec.transpose());
|
|
|
|
m2 = m1;
|
|
m2.rowwise() /= rowvec;
|
|
VERIFY_IS_APPROX(m2, m1.rowwise() / rowvec);
|
|
VERIFY_IS_APPROX(m2.row(r), m1.row(r) / rowvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.rowwise() /= rowvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.rowwise() / rowvec.transpose());
|
|
}
|
|
|
|
template<typename MatrixType> void vectorwiseop_matrix(const MatrixType& m)
|
|
{
|
|
typedef typename MatrixType::Index Index;
|
|
typedef typename MatrixType::Scalar Scalar;
|
|
typedef typename NumTraits<Scalar>::Real RealScalar;
|
|
typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> ColVectorType;
|
|
typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
|
|
|
|
Index rows = m.rows();
|
|
Index cols = m.cols();
|
|
Index r = internal::random<Index>(0, rows-1),
|
|
c = internal::random<Index>(0, cols-1);
|
|
|
|
MatrixType m1 = MatrixType::Random(rows, cols),
|
|
m2(rows, cols),
|
|
m3(rows, cols);
|
|
|
|
ColVectorType colvec = ColVectorType::Random(rows);
|
|
RowVectorType rowvec = RowVectorType::Random(cols);
|
|
|
|
// test addition
|
|
|
|
m2 = m1;
|
|
m2.colwise() += colvec;
|
|
VERIFY_IS_APPROX(m2, m1.colwise() + colvec);
|
|
VERIFY_IS_APPROX(m2.col(c), m1.col(c) + colvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.colwise() += colvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.colwise() + colvec.transpose());
|
|
|
|
m2 = m1;
|
|
m2.rowwise() += rowvec;
|
|
VERIFY_IS_APPROX(m2, m1.rowwise() + rowvec);
|
|
VERIFY_IS_APPROX(m2.row(r), m1.row(r) + rowvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.rowwise() += rowvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.rowwise() + rowvec.transpose());
|
|
|
|
// test substraction
|
|
|
|
m2 = m1;
|
|
m2.colwise() -= colvec;
|
|
VERIFY_IS_APPROX(m2, m1.colwise() - colvec);
|
|
VERIFY_IS_APPROX(m2.col(c), m1.col(c) - colvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.colwise() -= colvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.colwise() - colvec.transpose());
|
|
|
|
m2 = m1;
|
|
m2.rowwise() -= rowvec;
|
|
VERIFY_IS_APPROX(m2, m1.rowwise() - rowvec);
|
|
VERIFY_IS_APPROX(m2.row(r), m1.row(r) - rowvec);
|
|
|
|
VERIFY_RAISES_ASSERT(m2.rowwise() -= rowvec.transpose());
|
|
VERIFY_RAISES_ASSERT(m1.rowwise() - rowvec.transpose());
|
|
}
|
|
|
|
void test_vectorwiseop()
|
|
{
|
|
CALL_SUBTEST_1(vectorwiseop_array(Array22cd()));
|
|
CALL_SUBTEST_2(vectorwiseop_array(Array<double, 3, 2>()));
|
|
CALL_SUBTEST_3(vectorwiseop_array(ArrayXXf(3, 4)));
|
|
CALL_SUBTEST_4(vectorwiseop_matrix(Matrix4cf()));
|
|
CALL_SUBTEST_5(vectorwiseop_matrix(Matrix<float,4,5>()));
|
|
CALL_SUBTEST_6(vectorwiseop_matrix(MatrixXd(7,2)));
|
|
}
|