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

302 lines
8.0 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_gesvdj.hpp"
#include "common/lapack/testing_gesvdj_notransv.hpp"
using ::testing::Combine;
using ::testing::TestWithParam;
using ::testing::Values;
using ::testing::ValuesIn;
using namespace std;
typedef std::tuple<vector<int>, vector<int>> gesvdj_tuple;
// each size_range vector is a {m, n};
// each opt_range vector is a {lda, ldu, ldv, leftsv, rightsv};
// if ldx = -1 then ldx < limit (invalid size)
// if ldx = 0 then ldx = limit
// if ldx = 1 then ldx > limit
// if leftsv (rightsv) = 0 then no singular vectors are computed
// if leftsv (rightsv) = 1 then compute singular vectors
// if leftsv (rightsv) = 2 then compute all orthogonal matrix
// case when m = n = 0 and rightsv = leftsv = 0 will also execute the bad
// arguments test (null handle, null pointers and invalid values)
// for checkin_lapack tests
const vector<vector<int>> size_range = {
// quick return
{0, 0},
{0, 1},
{1, 0},
// invalid
{-1, 1},
{1, -1},
// normal (valid) samples
{1, 1},
{20, 20},
{40, 30},
{60, 30},
{30, 40},
{30, 60},
};
const vector<vector<int>> opt_range = {
// invalid
{-1, 0, 0, 0, 0},
{0, -1, 0, 0, 1},
{0, 0, -1, 1, 0},
// normal (valid) samples
{1, 1, 1, 0, 0},
{0, 0, 1, 0, 1},
{0, 1, 0, 0, 2},
{0, 0, 0, 1, 0},
{0, 0, 0, 1, 1},
{0, 0, 0, 1, 2},
{1, 0, 0, 2, 0},
{1, 0, 1, 2, 1},
{1, 1, 0, 2, 2},
};
// for daily_lapack tests
const vector<vector<int>> large_size_range = {{120, 100}, {300, 120}, {100, 120}, {120, 300}};
const vector<vector<int>> large_opt_range
= {{0, 0, 0, 0, 0}, {1, 0, 0, 1, 1}, {0, 1, 0, 2, 0}, {0, 0, 1, 0, 2}};
Arguments gesvdj_setup_arguments(gesvdj_tuple tup, bool notransv)
{
vector<int> size = std::get<0>(tup);
vector<int> opt = std::get<1>(tup);
Arguments arg;
// sizes
rocblas_int m = size[0];
rocblas_int n = size[1];
arg.set<rocblas_int>("m", m);
arg.set<rocblas_int>("n", n);
// leading dimensions
arg.set<rocblas_int>("lda", m + opt[0] * 10);
arg.set<rocblas_int>("ldu", m + opt[1] * 10);
if(notransv)
arg.set<rocblas_int>("ldv", n + opt[2] * 10);
else
arg.set<rocblas_int>("ldv", min(m, n) + opt[2] * 10);
// vector options
if(opt[3] == 0)
arg.set<char>("left_svect", 'N');
else if(opt[3] == 1)
arg.set<char>("left_svect", 'S');
else
arg.set<char>("left_svect", 'A');
if(opt[4] == 0)
arg.set<char>("right_svect", 'N');
else if(opt[4] == 1)
arg.set<char>("right_svect", 'S');
else
arg.set<char>("right_svect", 'A');
arg.set<double>("abstol", 0);
arg.set<rocblas_int>("max_sweeps", 100);
// only testing standard use case/defaults for strides
arg.timing = 0;
return arg;
}
class GESVDJ : public ::TestWithParam<gesvdj_tuple>
{
protected:
void TearDown() override
{
ASSERT_EQ(hipGetLastError(), hipSuccess);
}
template <bool BATCHED, bool STRIDED, typename T>
void run_tests()
{
Arguments arg = gesvdj_setup_arguments(GetParam(), false);
if(arg.peek<rocblas_int>("m") == 0 && arg.peek<rocblas_int>("n") == 0
&& arg.peek<char>("left_svect") == 'N' && arg.peek<char>("right_svect") == 'N')
testing_gesvdj_bad_arg<BATCHED, STRIDED, T>();
arg.batch_count = (BATCHED || STRIDED ? 3 : 1);
testing_gesvdj<BATCHED, STRIDED, T>(arg);
}
};
class GESVDJ_NOTRANSV : public ::TestWithParam<gesvdj_tuple>
{
protected:
void TearDown() override
{
ASSERT_EQ(hipGetLastError(), hipSuccess);
}
template <bool BATCHED, bool STRIDED, typename T>
void run_tests()
{
Arguments arg = gesvdj_setup_arguments(GetParam(), true);
if(arg.peek<rocblas_int>("m") == 0 && arg.peek<rocblas_int>("n") == 0
&& arg.peek<char>("left_svect") == 'N' && arg.peek<char>("right_svect") == 'N')
testing_gesvdj_notransv_bad_arg<BATCHED, STRIDED, T>();
arg.batch_count = (BATCHED || STRIDED ? 3 : 1);
testing_gesvdj_notransv<BATCHED, STRIDED, T>(arg);
}
};
// non-batch tests
TEST_P(GESVDJ, __float)
{
run_tests<false, false, float>();
}
TEST_P(GESVDJ, __double)
{
run_tests<false, false, double>();
}
TEST_P(GESVDJ, __float_complex)
{
run_tests<false, false, rocblas_float_complex>();
}
TEST_P(GESVDJ, __double_complex)
{
run_tests<false, false, rocblas_double_complex>();
}
TEST_P(GESVDJ_NOTRANSV, __float)
{
run_tests<false, false, float>();
}
TEST_P(GESVDJ_NOTRANSV, __double)
{
run_tests<false, false, double>();
}
TEST_P(GESVDJ_NOTRANSV, __float_complex)
{
run_tests<false, false, rocblas_float_complex>();
}
TEST_P(GESVDJ_NOTRANSV, __double_complex)
{
run_tests<false, false, rocblas_double_complex>();
}
// batched tests
TEST_P(GESVDJ, batched__float)
{
run_tests<true, true, float>();
}
TEST_P(GESVDJ, batched__double)
{
run_tests<true, true, double>();
}
TEST_P(GESVDJ, batched__float_complex)
{
run_tests<true, true, rocblas_float_complex>();
}
TEST_P(GESVDJ, batched__double_complex)
{
run_tests<true, true, rocblas_double_complex>();
}
// strided_batched tests
TEST_P(GESVDJ, strided_batched__float)
{
run_tests<false, true, float>();
}
TEST_P(GESVDJ, strided_batched__double)
{
run_tests<false, true, double>();
}
TEST_P(GESVDJ, strided_batched__float_complex)
{
run_tests<false, true, rocblas_float_complex>();
}
TEST_P(GESVDJ, strided_batched__double_complex)
{
run_tests<false, true, rocblas_double_complex>();
}
TEST_P(GESVDJ_NOTRANSV, strided_batched__float)
{
run_tests<false, true, float>();
}
TEST_P(GESVDJ_NOTRANSV, strided_batched__double)
{
run_tests<false, true, double>();
}
TEST_P(GESVDJ_NOTRANSV, strided_batched__float_complex)
{
run_tests<false, true, rocblas_float_complex>();
}
TEST_P(GESVDJ_NOTRANSV, strided_batched__double_complex)
{
run_tests<false, true, rocblas_double_complex>();
}
INSTANTIATE_TEST_SUITE_P(daily_lapack,
GESVDJ,
Combine(ValuesIn(large_size_range), ValuesIn(large_opt_range)));
INSTANTIATE_TEST_SUITE_P(checkin_lapack, GESVDJ, Combine(ValuesIn(size_range), ValuesIn(opt_range)));
INSTANTIATE_TEST_SUITE_P(daily_lapack,
GESVDJ_NOTRANSV,
Combine(ValuesIn(large_size_range), ValuesIn(large_opt_range)));
INSTANTIATE_TEST_SUITE_P(checkin_lapack,
GESVDJ_NOTRANSV,
Combine(ValuesIn(size_range), ValuesIn(opt_range)));