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

155 lines
4.3 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/auxiliary/testing_labrd.hpp"
using ::testing::Combine;
using ::testing::TestWithParam;
using ::testing::Values;
using ::testing::ValuesIn;
using namespace std;
typedef std::tuple<vector<int>, vector<int>> labrd_tuple;
// each matrix_size_range is a {m, lda, ldx}
// each n_size_range is a {n, ldy, nb}
// case when m = n = 0 will also execute the bad arguments test
// (null handle, null pointers and invalid values)
// for checkin_lapack tests
const vector<vector<int>> matrix_size_range = {
// quick return (if nb = 0, else invalid)
{0, 1, 1},
// invalid
{1, 1, 0},
{-1, 1, 1},
{1, 1, -1},
{20, 5, 20},
{20, 20, 5},
// normal (valid) samples
{50, 50, 50},
{70, 100, 70},
{130, 130, 150},
{150, 200, 200}};
const vector<vector<int>> n_size_range = {
// quick return
{0, 1, 0},
{1, 1, 0},
// invalid
{-1, 1, 1},
{1, 1, -1},
{20, 5, 20},
{20, 20, 25},
// normal (valid) samples
{16, 16, 10},
{20, 30, 10},
{120, 120, 30},
{150, 200, 30}};
// for daily_lapack tests
const vector<vector<int>> large_matrix_size_range = {
{152, 152, 152},
{640, 640, 656},
{1000, 1024, 1000},
};
const vector<vector<int>> large_n_size_range
= {{64, 64, 60}, {98, 98, 60}, {130, 130, 100}, {220, 240, 100}, {400, 450, 100}};
Arguments labrd_setup_arguments(labrd_tuple tup)
{
vector<int> matrix_size = std::get<0>(tup);
vector<int> n_size = std::get<1>(tup);
Arguments arg;
arg.set<rocblas_int>("m", matrix_size[0]);
arg.set<rocblas_int>("lda", matrix_size[1]);
arg.set<rocblas_int>("ldx", matrix_size[2]);
arg.set<rocblas_int>("n", n_size[0]);
arg.set<rocblas_int>("ldy", n_size[1]);
arg.set<rocblas_int>("k", n_size[2]);
arg.timing = 0;
return arg;
}
class LABRD : public ::TestWithParam<labrd_tuple>
{
protected:
void TearDown() override
{
ASSERT_EQ(hipGetLastError(), hipSuccess);
}
template <typename T>
void run_tests()
{
Arguments arg = labrd_setup_arguments(GetParam());
if(arg.peek<rocblas_int>("m") == 0 && arg.peek<rocblas_int>("n") == 0)
testing_labrd_bad_arg<T>();
testing_labrd<T>(arg);
}
};
// non-batch tests
TEST_P(LABRD, __float)
{
run_tests<float>();
}
TEST_P(LABRD, __double)
{
run_tests<double>();
}
TEST_P(LABRD, __float_complex)
{
run_tests<rocblas_float_complex>();
}
TEST_P(LABRD, __double_complex)
{
run_tests<rocblas_double_complex>();
}
INSTANTIATE_TEST_SUITE_P(daily_lapack,
LABRD,
Combine(ValuesIn(large_matrix_size_range), ValuesIn(large_n_size_range)));
INSTANTIATE_TEST_SUITE_P(checkin_lapack,
LABRD,
Combine(ValuesIn(matrix_size_range), ValuesIn(n_size_range)));