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// SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors | ||
// | ||
// SPDX-License-Identifier: BSD-3-Clause | ||
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#include <memory> | ||
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#include <gtest/gtest.h> | ||
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#include <ginkgo/core/base/executor.hpp> | ||
#include <ginkgo/core/preconditioner/isai.hpp> | ||
#include <ginkgo/core/preconditioner/sor.hpp> | ||
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#include "core/test/utils.hpp" | ||
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class SorFactory : public ::testing::Test { | ||
public: | ||
using sor_type = gko::preconditioner::Sor<double, int>; | ||
using l_isai_type = gko::preconditioner::LowerIsai<double, int>; | ||
using u_isai_type = gko::preconditioner::UpperIsai<double, int>; | ||
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std::shared_ptr<gko::ReferenceExecutor> exec = | ||
gko::ReferenceExecutor::create(); | ||
}; | ||
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TEST_F(SorFactory, CanDefaultBuild) | ||
{ | ||
auto factory = sor_type::build().on(exec); | ||
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auto params = factory->get_parameters(); | ||
ASSERT_EQ(params.skip_sorting, false); | ||
ASSERT_EQ(params.relaxation_factor, 1.0); | ||
ASSERT_EQ(params.symmetric, false); | ||
ASSERT_EQ(params.l_solver, nullptr); | ||
ASSERT_EQ(params.u_solver, nullptr); | ||
} | ||
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TEST_F(SorFactory, CanBuildWithParameters) | ||
{ | ||
auto factory = sor_type::build() | ||
.with_skip_sorting(true) | ||
.with_relaxation_factor(0.5) | ||
.with_symmetric(true) | ||
.with_l_solver(l_isai_type::build()) | ||
.with_u_solver(u_isai_type::build()) | ||
.on(exec); | ||
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auto params = factory->get_parameters(); | ||
ASSERT_EQ(params.skip_sorting, true); | ||
ASSERT_EQ(params.relaxation_factor, 0.5); | ||
ASSERT_EQ(params.symmetric, true); | ||
ASSERT_NE(params.l_solver, nullptr); | ||
GKO_ASSERT_DYNAMIC_TYPE(params.l_solver, l_isai_type::Factory); | ||
ASSERT_NE(params.u_solver, nullptr); | ||
GKO_ASSERT_DYNAMIC_TYPE(params.u_solver, u_isai_type::Factory); | ||
} |
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// SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors | ||
// | ||
// SPDX-License-Identifier: BSD-3-Clause | ||
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#include "core/preconditioner/sor_kernels.hpp" | ||
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#include <memory> | ||
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#include <gtest/gtest.h> | ||
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#include <ginkgo/core/base/composition.hpp> | ||
#include <ginkgo/core/base/exception.hpp> | ||
#include <ginkgo/core/base/executor.hpp> | ||
#include <ginkgo/core/factorization/par_ilu.hpp> | ||
#include <ginkgo/core/matrix/dense.hpp> | ||
#include <ginkgo/core/preconditioner/sor.hpp> | ||
#include <ginkgo/core/solver/bicgstab.hpp> | ||
#include <ginkgo/core/stop/combined.hpp> | ||
#include <ginkgo/core/stop/iteration.hpp> | ||
#include <ginkgo/core/stop/residual_norm.hpp> | ||
#include <ginkgo/core/stop/time.hpp> | ||
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#include "core/test/utils.hpp" | ||
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template <typename ValueIndexType> | ||
class Sor : public ::testing::Test { | ||
public: | ||
using value_type = | ||
typename std::tuple_element<0, decltype(ValueIndexType())>::type; | ||
using index_type = | ||
typename std::tuple_element<1, decltype(ValueIndexType())>::type; | ||
using csr_type = gko::matrix::Csr<value_type, index_type>; | ||
using sor_type = gko::preconditioner::Sor<value_type, index_type>; | ||
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std::shared_ptr<gko::ReferenceExecutor> exec = | ||
gko::ReferenceExecutor::create(); | ||
gko::remove_complex<value_type> diag_value = | ||
static_cast<gko::remove_complex<value_type>>(1.5); | ||
std::shared_ptr<csr_type> mtx = | ||
gko::initialize<csr_type>({{diag_value, 2, 0, 3, 4}, | ||
{-2, diag_value, 5, 0, 0}, | ||
{0, -5, diag_value, 0, 6}, | ||
{-3, 0, 0, diag_value, 7}, | ||
{-4, 0, -6, -7, diag_value}}, | ||
exec); | ||
std::shared_ptr<csr_type> expected_l = | ||
gko::initialize<csr_type>({{diag_value, 0, 0, 0, 0}, | ||
{-2, diag_value, 0, 0, 0}, | ||
{0, -5, diag_value, 0, 0}, | ||
{-3, 0, 0, diag_value, 0}, | ||
{-4, 0, -6, -7, diag_value}}, | ||
exec); | ||
std::shared_ptr<csr_type> expected_u = | ||
gko::initialize<csr_type>({{diag_value, 2, 0, 3, 4}, | ||
{0, diag_value, 5, 0, 0}, | ||
{0, 0, diag_value, 0, 6}, | ||
{0, 0, 0, diag_value, 7}, | ||
{0, 0, 0, 0, diag_value}}, | ||
exec); | ||
}; | ||
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TYPED_TEST_SUITE(Sor, gko::test::ValueIndexTypes, PairTypenameNameGenerator); | ||
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TYPED_TEST(Sor, CanInitializeLFactor) | ||
{ | ||
using value_type = typename TestFixture::value_type; | ||
auto result = gko::clone(this->expected_l); | ||
result->scale( | ||
gko::initialize<gko::matrix::Dense<value_type>>({0.0}, this->exec)); | ||
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gko::kernels::reference::sor::initialize_weighted_l( | ||
this->exec, this->mtx.get(), 1.0, result.get()); | ||
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GKO_ASSERT_MTX_NEAR(result, this->expected_l, 0.0); | ||
} | ||
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TYPED_TEST(Sor, CanInitializeLFactorWithWeight) | ||
{ | ||
using value_type = typename TestFixture::value_type; | ||
using csr_type = typename TestFixture::csr_type; | ||
auto result = gko::clone(this->expected_l); | ||
result->scale( | ||
gko::initialize<gko::matrix::Dense<value_type>>({0.0}, this->exec)); | ||
std::shared_ptr<csr_type> expected_l = | ||
gko::initialize<csr_type>({{1, 0, 0, 0, 0}, | ||
{-2, 1, 0, 0, 0}, | ||
{0, -5, 1, 0, 0}, | ||
{-3, 0, 0, 1, 0}, | ||
{-4, 0, -6, -7, 1}}, | ||
this->exec); | ||
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gko::kernels::reference::sor::initialize_weighted_l( | ||
this->exec, this->mtx.get(), this->diag_value, result.get()); | ||
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GKO_ASSERT_MTX_NEAR(result, expected_l, r<value_type>::value); | ||
} | ||
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TYPED_TEST(Sor, CanInitializeLAndUFactor) | ||
{ | ||
using value_type = typename TestFixture::value_type; | ||
auto result_l = gko::clone(this->expected_l); | ||
auto result_u = gko::clone(this->expected_u); | ||
result_l->scale( | ||
gko::initialize<gko::matrix::Dense<value_type>>({0.0}, this->exec)); | ||
result_u->scale( | ||
gko::initialize<gko::matrix::Dense<value_type>>({0.0}, this->exec)); | ||
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gko::kernels::reference::sor::initialize_weighted_l_u( | ||
this->exec, this->mtx.get(), 1.0, result_l.get(), result_u.get()); | ||
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GKO_ASSERT_MTX_NEAR(result_l, this->expected_l, 0.0); | ||
GKO_ASSERT_MTX_NEAR(result_u, this->expected_u, 0.0); | ||
} | ||
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TYPED_TEST(Sor, CanInitializeLAndUFactorWithWeight) | ||
{ | ||
using value_type = typename TestFixture::value_type; | ||
using csr_type = typename TestFixture::csr_type; | ||
auto result_l = gko::clone(this->expected_l); | ||
auto result_u = gko::clone(this->expected_u); | ||
result_l->scale( | ||
gko::initialize<gko::matrix::Dense<value_type>>({0.0}, this->exec)); | ||
result_u->scale( | ||
gko::initialize<gko::matrix::Dense<value_type>>({0.0}, this->exec)); | ||
auto diag_weight = static_cast<gko::remove_complex<value_type>>( | ||
1.0 / (2 - this->diag_value)); | ||
auto off_diag_weight = this->diag_value * diag_weight; | ||
std::shared_ptr<csr_type> expected_l = | ||
gko::initialize<csr_type>({{1, 0, 0, 0, 0}, | ||
{-2, 1, 0, 0, 0}, | ||
{0, -5, 1, 0, 0}, | ||
{-3, 0, 0, 1, 0}, | ||
{-4, 0, -6, -7, 1}}, | ||
this->exec); | ||
std::shared_ptr<csr_type> expected_u = gko::initialize<csr_type>( | ||
{{this->diag_value * diag_weight, 2 * off_diag_weight, 0, | ||
3 * off_diag_weight, 4 * off_diag_weight}, | ||
{0, this->diag_value * diag_weight, 5 * off_diag_weight, 0, 0}, | ||
{0, 0, this->diag_value * diag_weight, 0, 6 * off_diag_weight}, | ||
{0, 0, 0, this->diag_value * diag_weight, 7 * off_diag_weight}, | ||
{0, 0, 0, 0, this->diag_value * diag_weight}}, | ||
this->exec); | ||
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gko::kernels::reference::sor::initialize_weighted_l_u( | ||
this->exec, this->mtx.get(), this->diag_value, result_l.get(), | ||
result_u.get()); | ||
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GKO_ASSERT_MTX_NEAR(result_l, expected_l, r<value_type>::value); | ||
GKO_ASSERT_MTX_NEAR(result_u, expected_u, r<value_type>::value); | ||
} | ||
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TYPED_TEST(Sor, CanGenerateNonSymmetric) | ||
{ | ||
using value_type = typename TestFixture::value_type; | ||
using index_type = typename TestFixture::index_type; | ||
using sor_type = typename TestFixture::sor_type; | ||
using composition_type = typename sor_type::composition_type; | ||
using trs_type = gko::solver::LowerTrs<value_type, index_type>; | ||
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auto sor_pre = sor_type::build().on(this->exec)->generate(this->mtx); | ||
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testing::StaticAssertTypeEq<decltype(sor_pre), | ||
std::unique_ptr<composition_type>>(); | ||
const auto& ops = sor_pre->get_operators(); | ||
ASSERT_EQ(ops.size(), 1); | ||
GKO_ASSERT_DYNAMIC_TYPE(ops[0], trs_type); | ||
auto result_l = gko::as<trs_type>(ops[0])->get_system_matrix(); | ||
GKO_ASSERT_MTX_NEAR(result_l, this->expected_l, 0.0); | ||
} | ||
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TYPED_TEST(Sor, CanGenerateSymmetric) | ||
{ | ||
using value_type = typename TestFixture::value_type; | ||
using index_type = typename TestFixture::index_type; | ||
using sor_type = typename TestFixture::sor_type; | ||
using composition_type = typename sor_type::composition_type; | ||
using l_trs_type = gko::solver::LowerTrs<value_type, index_type>; | ||
using u_trs_type = gko::solver::UpperTrs<value_type, index_type>; | ||
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auto sor_pre = sor_type::build() | ||
.with_symmetric(true) | ||
.on(this->exec) | ||
->generate(this->mtx); | ||
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testing::StaticAssertTypeEq<decltype(sor_pre), | ||
std::unique_ptr<composition_type>>(); | ||
const auto& ops = sor_pre->get_operators(); | ||
ASSERT_EQ(ops.size(), 2); | ||
GKO_ASSERT_DYNAMIC_TYPE(ops[0], u_trs_type); | ||
GKO_ASSERT_DYNAMIC_TYPE(ops[1], l_trs_type); | ||
auto result_u = gko::as<u_trs_type>(ops[0])->get_system_matrix(); | ||
auto result_l = gko::as<l_trs_type>(ops[1])->get_system_matrix(); | ||
GKO_ASSERT_MTX_NEAR(result_l, this->expected_l, 0.0); | ||
auto expected_u = gko::clone(this->expected_u); | ||
expected_u->inv_scale(gko::initialize<gko::matrix::Dense<value_type>>( | ||
{this->diag_value}, this->exec)); | ||
GKO_ASSERT_MTX_NEAR(result_u, expected_u, r<value_type>::value); | ||
} |