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

297 lines
8.4 KiB
C++

/* **************************************************************************
* Copyright (C) 2022-2024 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_gesvdx.hpp"
#include "common/lapack/testing_gesvdx_notransv.hpp"
using ::testing::Combine;
using ::testing::TestWithParam;
using ::testing::Values;
using ::testing::ValuesIn;
using namespace std;
typedef std::tuple<vector<int>, vector<int>> gesvdx_tuple;
// each size_range vector is a {m, n, lda, ldu, ldv};
// if ldx = -1 then ldx < limit (invalid size)
// if ldx = 0 then ldx = limit
// if ldx = 1 then ldx > limit
// each opt_range vector is a {leftsv, rightsv, rng, vl, vu, il, iu};
// if leftsv (rightsv) = 1 then compute singular vectors
// if leftsv (rightsv) = 0 then no singular vectors are computed
// if rng = 0, then find all singular values
// if rng = 1, then find singular values in (vl, vu]
// if rng = 2, then find the il-th to the iu-th singular value
// case when m = n = 0, rightsv = leftsv = 0 and rng = 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, 0, 0},
{0, 1, 0, 0, 0},
{1, 0, 0, 0, 0},
// invalid
{-1, 1, 0, 0, 0},
{1, -1, 0, 0, 0},
{10, 10, -1, 0, 0},
{10, 10, 0, -1, 0},
{10, 10, 0, 0, -1},
// normal (valid) samples
{1, 1, 0, 0, 0},
{20, 20, 0, 0, 0},
{40, 30, 0, 0, 0},
{30, 40, 0, 0, 0},
{30, 30, 1, 0, 0},
{60, 40, 0, 1, 0},
{40, 60, 0, 0, 1},
{50, 50, 1, 1, 1}};
const vector<vector<int>> opt_range = {
// always invalid
{0, 0, 1, 2, 1, 0, 0},
{0, 0, 1, -1, 1, 0, 0},
{0, 0, 2, 0, 0, 2, 1},
{0, 0, 2, 0, 0, 10, 80},
// valid only when n=0
{0, 0, 2, 0, 0, 1, 0},
// valid only when n>1
{0, 0, 2, 0, 0, 1, 5},
{0, 1, 2, 0, 0, 1, 15},
{1, 0, 2, 0, 0, 7, 12},
{1, 1, 2, 0, 0, 10, 15},
// always valid samples
{0, 0, 0, 0, 0, 0, 0},
{1, 0, 0, 0, 0, 0, 0},
{0, 1, 0, 0, 0, 0, 0},
{1, 1, 0, 0, 0, 0, 0},
{0, 0, 1, 0, 10, 0, 0},
{0, 1, 1, 5, 12, 0, 0},
{1, 0, 1, 0, 12, 0, 0},
{1, 1, 1, 12, 18, 0, 0}};
// for daily_lapack tests
const vector<vector<int>> large_size_range
= {{100, 100, 1, 0, 0}, {300, 120, 0, 0, 1}, {200, 300, 0, 0, 0}};
const vector<vector<int>> large_opt_range
= {{0, 0, 1, 5, 10, 0, 0}, {1, 0, 1, 10, 20, 0, 0}, {0, 1, 2, 0, 0, 3, 10}, {1, 1, 0, 0, 0, 0, 0}};
Arguments gesvdx_setup_arguments(gesvdx_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 + size[2] * 10);
arg.set<rocblas_int>("ldu", m + size[3] * 10);
if(notransv)
arg.set<rocblas_int>("ldv", n + size[4] * 10);
else
arg.set<rocblas_int>("ldv", min(m, n) + size[4] * 10);
// vector options
if(opt[0] == 0)
arg.set<char>("left_svect", 'N');
else
arg.set<char>("left_svect", 'S');
if(opt[1] == 0)
arg.set<char>("right_svect", 'N');
else
arg.set<char>("right_svect", 'S');
// only testing standard use case/defaults for strides
// ranges
arg.set<char>("srange", (opt[2] == 0 ? 'A' : (opt[2] == 1 ? 'V' : 'I')));
arg.set<double>("vl", opt[3]);
arg.set<double>("vu", opt[4]);
arg.set<rocblas_int>("il", opt[5]);
arg.set<rocblas_int>("iu", opt[6]);
arg.timing = 0;
return arg;
}
class GESVDX : public ::TestWithParam<gesvdx_tuple>
{
protected:
void TearDown() override
{
ASSERT_EQ(hipGetLastError(), hipSuccess);
}
template <bool BATCHED, bool STRIDED, typename T>
void run_tests()
{
Arguments arg = gesvdx_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'
&& arg.peek<char>("srange") == 'A')
testing_gesvdx_bad_arg<BATCHED, STRIDED, T>();
arg.batch_count = (BATCHED || STRIDED ? 3 : 1);
testing_gesvdx<BATCHED, STRIDED, T>(arg);
}
};
class GESVDX_NOTRANSV : public ::TestWithParam<gesvdx_tuple>
{
protected:
void TearDown() override
{
ASSERT_EQ(hipGetLastError(), hipSuccess);
}
template <bool BATCHED, bool STRIDED, typename T>
void run_tests()
{
Arguments arg = gesvdx_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'
&& arg.peek<char>("srange") == 'A')
testing_gesvdx_notransv_bad_arg<BATCHED, STRIDED, T>();
arg.batch_count = (BATCHED || STRIDED ? 3 : 1);
testing_gesvdx_notransv<BATCHED, STRIDED, T>(arg);
}
};
// non-batch tests
TEST_P(GESVDX, __float)
{
run_tests<false, false, float>();
}
TEST_P(GESVDX, __double)
{
run_tests<false, false, double>();
}
TEST_P(GESVDX, __float_complex)
{
run_tests<false, false, rocblas_float_complex>();
}
TEST_P(GESVDX, __double_complex)
{
run_tests<false, false, rocblas_double_complex>();
}
// batched tests
TEST_P(GESVDX, batched__float)
{
run_tests<true, true, float>();
}
TEST_P(GESVDX, batched__double)
{
run_tests<true, true, double>();
}
TEST_P(GESVDX, batched__float_complex)
{
run_tests<true, true, rocblas_float_complex>();
}
TEST_P(GESVDX, batched__double_complex)
{
run_tests<true, true, rocblas_double_complex>();
}
// strided_batched tests
TEST_P(GESVDX, strided_batched__float)
{
run_tests<false, true, float>();
}
TEST_P(GESVDX, strided_batched__double)
{
run_tests<false, true, double>();
}
TEST_P(GESVDX, strided_batched__float_complex)
{
run_tests<false, true, rocblas_float_complex>();
}
TEST_P(GESVDX, strided_batched__double_complex)
{
run_tests<false, true, rocblas_double_complex>();
}
TEST_P(GESVDX_NOTRANSV, strided_batched__float)
{
run_tests<false, true, float>();
}
TEST_P(GESVDX_NOTRANSV, strided_batched__double)
{
run_tests<false, true, double>();
}
TEST_P(GESVDX_NOTRANSV, strided_batched__float_complex)
{
run_tests<false, true, rocblas_float_complex>();
}
TEST_P(GESVDX_NOTRANSV, strided_batched__double_complex)
{
run_tests<false, true, rocblas_double_complex>();
}
INSTANTIATE_TEST_SUITE_P(daily_lapack,
GESVDX,
Combine(ValuesIn(large_size_range), ValuesIn(large_opt_range)));
INSTANTIATE_TEST_SUITE_P(checkin_lapack, GESVDX, Combine(ValuesIn(size_range), ValuesIn(opt_range)));
INSTANTIATE_TEST_SUITE_P(daily_lapack,
GESVDX_NOTRANSV,
Combine(ValuesIn(large_size_range), ValuesIn(large_opt_range)));
INSTANTIATE_TEST_SUITE_P(checkin_lapack,
GESVDX_NOTRANSV,
Combine(ValuesIn(size_range), ValuesIn(opt_range)));