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TheRock/rocm-libraries/projects/rocsolver/clients/gtest/lapack/sygv_hegv_gtest.cpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

207 lines
5.7 KiB
C++

/* **************************************************************************
* Copyright (C) 2020-2024 Advanced Micro Devices, Inc. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
* OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
* SUCH DAMAGE.
* *************************************************************************/
#include "common/lapack/testing_sygv_hegv.hpp"
using ::testing::Combine;
using ::testing::TestWithParam;
using ::testing::Values;
using ::testing::ValuesIn;
using namespace std;
typedef std::tuple<vector<int>, vector<printable_char>> sygv_tuple;
// each matrix_size_range is a {n, lda, ldb, singular}
// if singular = 1, then the used matrix for the tests is not positive definite
// each type_range is a {itype, evect, uplo}
// case when n = 0, itype = 1, evect = 'N', and uplo = U will also execute the bad arguments test
// (null handle, null pointers and invalid values)
const vector<vector<printable_char>> type_range
= {{'1', 'N', 'U'}, {'2', 'N', 'L'}, {'3', 'N', 'U'},
{'1', 'V', 'L'}, {'2', 'V', 'U'}, {'3', 'V', 'L'}};
// for checkin_lapack tests
const vector<vector<int>> matrix_size_range = {
// quick return
{0, 1, 1, 0},
// invalid
{-1, 1, 1, 0},
{20, 5, 5, 0},
// normal (valid) samples
{20, 30, 20, 1},
{35, 35, 35, 0},
{50, 50, 60, 1}};
// for daily_lapack tests
const vector<vector<int>> large_matrix_size_range = {
{192, 192, 192, 0},
{256, 270, 256, 0},
{300, 300, 310, 0},
};
Arguments sygv_setup_arguments(sygv_tuple tup)
{
vector<int> matrix_size = std::get<0>(tup);
vector<printable_char> type = std::get<1>(tup);
Arguments arg;
arg.set<rocblas_int>("n", matrix_size[0]);
arg.set<rocblas_int>("lda", matrix_size[1]);
arg.set<rocblas_int>("ldb", matrix_size[2]);
arg.set<char>("itype", type[0]);
arg.set<char>("evect", type[1]);
arg.set<char>("uplo", type[2]);
// only testing standard use case/defaults for strides
arg.timing = 0;
arg.singular = matrix_size[3];
return arg;
}
class SYGV_HEGV : public ::TestWithParam<sygv_tuple>
{
protected:
void TearDown() override
{
ASSERT_EQ(hipGetLastError(), hipSuccess);
}
template <bool BATCHED, bool STRIDED, typename T>
void run_tests()
{
Arguments arg = sygv_setup_arguments(GetParam());
if(arg.peek<char>("itype") == '1' && arg.peek<char>("evect") == 'N'
&& arg.peek<char>("uplo") == 'U' && arg.peek<rocblas_int>("n") == 0)
testing_sygv_hegv_bad_arg<BATCHED, STRIDED, T>();
arg.batch_count = (BATCHED || STRIDED ? 3 : 1);
if(arg.singular == 1)
testing_sygv_hegv<BATCHED, STRIDED, T>(arg);
arg.singular = 0;
testing_sygv_hegv<BATCHED, STRIDED, T>(arg);
}
};
class SYGV : public SYGV_HEGV
{
};
class HEGV : public SYGV_HEGV
{
};
// non-batch tests
TEST_P(SYGV, __float)
{
run_tests<false, false, float>();
}
TEST_P(SYGV, __double)
{
run_tests<false, false, double>();
}
TEST_P(HEGV, __float_complex)
{
run_tests<false, false, rocblas_float_complex>();
}
TEST_P(HEGV, __double_complex)
{
run_tests<false, false, rocblas_double_complex>();
}
// batched tests
TEST_P(SYGV, batched__float)
{
run_tests<true, true, float>();
}
TEST_P(SYGV, batched__double)
{
run_tests<true, true, double>();
}
TEST_P(HEGV, batched__float_complex)
{
run_tests<true, true, rocblas_float_complex>();
}
TEST_P(HEGV, batched__double_complex)
{
run_tests<true, true, rocblas_double_complex>();
}
// strided_batched cases
TEST_P(SYGV, strided_batched__float)
{
run_tests<false, true, float>();
}
TEST_P(SYGV, strided_batched__double)
{
run_tests<false, true, double>();
}
TEST_P(HEGV, strided_batched__float_complex)
{
run_tests<false, true, rocblas_float_complex>();
}
TEST_P(HEGV, strided_batched__double_complex)
{
run_tests<false, true, rocblas_double_complex>();
}
INSTANTIATE_TEST_SUITE_P(daily_lapack,
SYGV,
Combine(ValuesIn(large_matrix_size_range), ValuesIn(type_range)));
INSTANTIATE_TEST_SUITE_P(checkin_lapack,
SYGV,
Combine(ValuesIn(matrix_size_range), ValuesIn(type_range)));
INSTANTIATE_TEST_SUITE_P(daily_lapack,
HEGV,
Combine(ValuesIn(large_matrix_size_range), ValuesIn(type_range)));
INSTANTIATE_TEST_SUITE_P(checkin_lapack,
HEGV,
Combine(ValuesIn(matrix_size_range), ValuesIn(type_range)));