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header_test_t4_map.cc
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header_test_t4_map.cc
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/**
* @file header_test_t4_map.cc
*
* @author Till Junge <till.junge@epfl.ch>
*
* @date 20 Nov 2017
*
* @brief Test the fourth-order map on second-order tensor implementation
*
* Copyright © 2017 Till Junge
*
* µSpectre 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, or (at
* your option) any later version.
*
* µSpectre 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
* General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with µSpectre; see the file COPYING. If not, write to the
* Free Software Foundation, Inc., 59 Temple Place - Suite 330,
* * Boston, MA 02111-1307, USA.
*
* Additional permission under GNU GPL version 3 section 7
*
* If you modify this Program, or any covered work, by linking or combining it
* with proprietary FFT implementations or numerical libraries, containing parts
* covered by the terms of those libraries' licenses, the licensors of this
* Program grant you additional permission to convey the resulting work.
*/
#include <iostream>
#include <Eigen/Dense>
#include <unsupported/Eigen/CXX11/Tensor>
#include <boost/mpl/list.hpp>
#include <libmugrid/T4_map_proxy.hh>
#include "tests.hh"
#include "test_goodies.hh"
namespace muGrid {
BOOST_AUTO_TEST_SUITE(T4map_tests);
/**
* Test fixture for construction of T4Map for the time being, symmetry is not
* exploited
*/
template <typename T, Dim_t Dim>
struct T4_fixture {
T4_fixture() : matrix{}, tensor(matrix.data()) {}
EIGEN_MAKE_ALIGNED_OPERATOR_NEW;
using M4 = T4Mat<T, Dim>;
using T4 = T4MatMap<T, Dim>;
constexpr static Dim_t dim{Dim};
M4 matrix;
T4 tensor;
};
using fix_collection =
boost::mpl::list<T4_fixture<Real, twoD>, T4_fixture<Real, threeD>>;
BOOST_FIXTURE_TEST_CASE_TEMPLATE(Simple_construction_test, F, fix_collection,
F) {
BOOST_CHECK_EQUAL(F::tensor.cols(), F::dim * F::dim);
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(write_access_test, F, fix_collection, F) {
auto & t4 = F::tensor;
constexpr Dim_t dim{F::dim};
Eigen::TensorFixedSize<Real, Eigen::Sizes<dim, dim, dim, dim>> t4c;
Eigen::Map<typename F::M4> t4c_map(t4c.data());
for (Dim_t i = 0; i < F::dim; ++i) {
for (Dim_t j = 0; j < F::dim; ++j) {
for (Dim_t k = 0; k < F::dim; ++k) {
for (Dim_t l = 0; l < F::dim; ++l) {
get(t4, i, j, k, l) =
1000 * (i + 1) + 100 * (j + 1) + 10 * (k + 1) + l + 1;
t4c(i, j, k, l) =
1000 * (i + 1) + 100 * (j + 1) + 10 * (k + 1) + l + 1;
}
}
}
}
for (Dim_t i = 0; i < ipow(dim, 4); ++i) {
BOOST_CHECK_EQUAL(F::matrix.data()[i], t4c.data()[i]);
}
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(numpy_compatibility, F, fix_collection, F) {
auto & t4 = F::tensor;
typename F::M4 numpy_ref{};
if (F::dim == twoD) {
numpy_ref << 1111., 1112., 1121., 1122., 1211., 1212., 1221., 1222.,
2111., 2112., 2121., 2122., 2211., 2212., 2221., 2222.;
} else {
numpy_ref << 1111., 1112., 1113., 1121., 1122., 1123., 1131., 1132.,
1133., 1211., 1212., 1213., 1221., 1222., 1223., 1231., 1232., 1233.,
1311., 1312., 1313., 1321., 1322., 1323., 1331., 1332., 1333., 2111.,
2112., 2113., 2121., 2122., 2123., 2131., 2132., 2133., 2211., 2212.,
2213., 2221., 2222., 2223., 2231., 2232., 2233., 2311., 2312., 2313.,
2321., 2322., 2323., 2331., 2332., 2333., 3111., 3112., 3113., 3121.,
3122., 3123., 3131., 3132., 3133., 3211., 3212., 3213., 3221., 3222.,
3223., 3231., 3232., 3233., 3311., 3312., 3313., 3321., 3322., 3323.,
3331., 3332., 3333.;
}
for (Dim_t i = 0; i < F::dim; ++i) {
for (Dim_t j = 0; j < F::dim; ++j) {
for (Dim_t k = 0; k < F::dim; ++k) {
for (Dim_t l = 0; l < F::dim; ++l) {
get(t4, i, j, k, l) =
1000 * (i + 1) + 100 * (j + 1) + 10 * (k + 1) + l + 1;
}
}
}
}
Real error{(t4 - testGoodies::from_numpy(numpy_ref)).norm()};
BOOST_CHECK_EQUAL(error, 0);
if (error != 0) {
std::cout << "T4:" << std::endl << t4 << std::endl;
std::cout << "reshuffled np:" << std::endl
<< testGoodies::from_numpy(numpy_ref) << std::endl;
std::cout << "original np:" << std::endl << numpy_ref << std::endl;
}
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(numpy_right_trans, F, fix_collection, F) {
auto & t4 = F::tensor;
typename F::M4 numpy_ref{};
if (F::dim == twoD) {
numpy_ref << 1111., 1121., 1112., 1122., 1211., 1221., 1212., 1222.,
2111., 2121., 2112., 2122., 2211., 2221., 2212., 2222.;
} else {
numpy_ref << 1111., 1121., 1131., 1112., 1122., 1132., 1113., 1123.,
1133., 1211., 1221., 1231., 1212., 1222., 1232., 1213., 1223., 1233.,
1311., 1321., 1331., 1312., 1322., 1332., 1313., 1323., 1333., 2111.,
2121., 2131., 2112., 2122., 2132., 2113., 2123., 2133., 2211., 2221.,
2231., 2212., 2222., 2232., 2213., 2223., 2233., 2311., 2321., 2331.,
2312., 2322., 2332., 2313., 2323., 2333., 3111., 3121., 3131., 3112.,
3122., 3132., 3113., 3123., 3133., 3211., 3221., 3231., 3212., 3222.,
3232., 3213., 3223., 3233., 3311., 3321., 3331., 3312., 3322., 3332.,
3313., 3323., 3333.;
}
for (Dim_t i = 0; i < F::dim; ++i) {
for (Dim_t j = 0; j < F::dim; ++j) {
for (Dim_t k = 0; k < F::dim; ++k) {
for (Dim_t l = 0; l < F::dim; ++l) {
get(t4, i, j, k, l) =
1000 * (i + 1) + 100 * (j + 1) + 10 * (k + 1) + l + 1;
}
}
}
}
Real error{(t4 - testGoodies::right_transpose(numpy_ref)).norm()};
BOOST_CHECK_EQUAL(error, 0);
if (error != 0) {
std::cout << "T4:" << std::endl << t4 << std::endl;
std::cout << "reshuffled np:" << std::endl
<< testGoodies::from_numpy(numpy_ref) << std::endl;
std::cout << "original np:" << std::endl << numpy_ref << std::endl;
}
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(assign_matrix_test, F, fix_collection, F) {
decltype(F::matrix) matrix;
matrix.setRandom();
F::tensor = matrix;
for (Dim_t i = 0; i < ipow(F::dim, 4); ++i) {
BOOST_CHECK_EQUAL(F::matrix.data()[i], matrix.data()[i]);
}
}
BOOST_AUTO_TEST_CASE(Return_ref_from_const_test) {
constexpr Dim_t dim{2};
using T = int;
using M4 = Eigen::Matrix<T, dim * dim, dim * dim>;
using M4c = const Eigen::Matrix<T, dim * dim, dim * dim>;
using T4 = T4MatMap<T, dim>;
using T4c = T4MatMap<T, dim, true>;
M4 mat;
mat.setRandom();
M4c cmat{mat};
T4 tensor{mat.data()};
T4c ctensor{mat.data()};
T a = get(tensor, 0, 0, 0, 1);
T b = get(ctensor, 0, 0, 0, 1);
BOOST_CHECK_EQUAL(a, b);
}
BOOST_AUTO_TEST_SUITE_END();
} // namespace muGrid

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