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297 lines
8.4 KiB
C++
297 lines
8.4 KiB
C++
/* **************************************************************************
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* Copyright (C) 2022-2024 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
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* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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* OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
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* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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* SUCH DAMAGE.
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* *************************************************************************/
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#include "common/lapack/testing_gesvdx.hpp"
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#include "common/lapack/testing_gesvdx_notransv.hpp"
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using ::testing::Combine;
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using ::testing::TestWithParam;
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using ::testing::Values;
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using ::testing::ValuesIn;
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using namespace std;
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typedef std::tuple<vector<int>, vector<int>> gesvdx_tuple;
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// each size_range vector is a {m, n, lda, ldu, ldv};
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// if ldx = -1 then ldx < limit (invalid size)
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// if ldx = 0 then ldx = limit
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// if ldx = 1 then ldx > limit
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// each opt_range vector is a {leftsv, rightsv, rng, vl, vu, il, iu};
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// if leftsv (rightsv) = 1 then compute singular vectors
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// if leftsv (rightsv) = 0 then no singular vectors are computed
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// if rng = 0, then find all singular values
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// if rng = 1, then find singular values in (vl, vu]
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// if rng = 2, then find the il-th to the iu-th singular value
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// case when m = n = 0, rightsv = leftsv = 0 and rng = 0 will also execute the bad
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// arguments test (null handle, null pointers and invalid values)
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// for checkin_lapack tests
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const vector<vector<int>> size_range = {
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// quick return
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{0, 0, 0, 0, 0},
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{0, 1, 0, 0, 0},
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{1, 0, 0, 0, 0},
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// invalid
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{-1, 1, 0, 0, 0},
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{1, -1, 0, 0, 0},
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{10, 10, -1, 0, 0},
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{10, 10, 0, -1, 0},
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{10, 10, 0, 0, -1},
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// normal (valid) samples
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{1, 1, 0, 0, 0},
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{20, 20, 0, 0, 0},
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{40, 30, 0, 0, 0},
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{30, 40, 0, 0, 0},
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{30, 30, 1, 0, 0},
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{60, 40, 0, 1, 0},
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{40, 60, 0, 0, 1},
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{50, 50, 1, 1, 1}};
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const vector<vector<int>> opt_range = {
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// always invalid
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{0, 0, 1, 2, 1, 0, 0},
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{0, 0, 1, -1, 1, 0, 0},
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{0, 0, 2, 0, 0, 2, 1},
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{0, 0, 2, 0, 0, 10, 80},
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// valid only when n=0
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{0, 0, 2, 0, 0, 1, 0},
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// valid only when n>1
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{0, 0, 2, 0, 0, 1, 5},
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{0, 1, 2, 0, 0, 1, 15},
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{1, 0, 2, 0, 0, 7, 12},
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{1, 1, 2, 0, 0, 10, 15},
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// always valid samples
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{0, 0, 0, 0, 0, 0, 0},
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{1, 0, 0, 0, 0, 0, 0},
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{0, 1, 0, 0, 0, 0, 0},
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{1, 1, 0, 0, 0, 0, 0},
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{0, 0, 1, 0, 10, 0, 0},
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{0, 1, 1, 5, 12, 0, 0},
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{1, 0, 1, 0, 12, 0, 0},
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{1, 1, 1, 12, 18, 0, 0}};
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// for daily_lapack tests
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const vector<vector<int>> large_size_range
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= {{100, 100, 1, 0, 0}, {300, 120, 0, 0, 1}, {200, 300, 0, 0, 0}};
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const vector<vector<int>> large_opt_range
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= {{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}};
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Arguments gesvdx_setup_arguments(gesvdx_tuple tup, bool notransv)
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{
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vector<int> size = std::get<0>(tup);
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vector<int> opt = std::get<1>(tup);
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Arguments arg;
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// sizes
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rocblas_int m = size[0];
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rocblas_int n = size[1];
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arg.set<rocblas_int>("m", m);
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arg.set<rocblas_int>("n", n);
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// leading dimensions
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arg.set<rocblas_int>("lda", m + size[2] * 10);
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arg.set<rocblas_int>("ldu", m + size[3] * 10);
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if(notransv)
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arg.set<rocblas_int>("ldv", n + size[4] * 10);
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else
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arg.set<rocblas_int>("ldv", min(m, n) + size[4] * 10);
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// vector options
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if(opt[0] == 0)
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arg.set<char>("left_svect", 'N');
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else
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arg.set<char>("left_svect", 'S');
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if(opt[1] == 0)
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arg.set<char>("right_svect", 'N');
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else
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arg.set<char>("right_svect", 'S');
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// only testing standard use case/defaults for strides
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// ranges
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arg.set<char>("srange", (opt[2] == 0 ? 'A' : (opt[2] == 1 ? 'V' : 'I')));
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arg.set<double>("vl", opt[3]);
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arg.set<double>("vu", opt[4]);
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arg.set<rocblas_int>("il", opt[5]);
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arg.set<rocblas_int>("iu", opt[6]);
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arg.timing = 0;
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return arg;
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}
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class GESVDX : public ::TestWithParam<gesvdx_tuple>
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{
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protected:
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void TearDown() override
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{
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ASSERT_EQ(hipGetLastError(), hipSuccess);
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}
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template <bool BATCHED, bool STRIDED, typename T>
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void run_tests()
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{
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Arguments arg = gesvdx_setup_arguments(GetParam(), false);
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if(arg.peek<rocblas_int>("m") == 0 && arg.peek<rocblas_int>("n") == 0
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&& arg.peek<char>("left_svect") == 'N' && arg.peek<char>("right_svect") == 'N'
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&& arg.peek<char>("srange") == 'A')
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testing_gesvdx_bad_arg<BATCHED, STRIDED, T>();
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arg.batch_count = (BATCHED || STRIDED ? 3 : 1);
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testing_gesvdx<BATCHED, STRIDED, T>(arg);
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}
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};
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class GESVDX_NOTRANSV : public ::TestWithParam<gesvdx_tuple>
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{
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protected:
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void TearDown() override
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{
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ASSERT_EQ(hipGetLastError(), hipSuccess);
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}
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template <bool BATCHED, bool STRIDED, typename T>
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void run_tests()
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{
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Arguments arg = gesvdx_setup_arguments(GetParam(), true);
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if(arg.peek<rocblas_int>("m") == 0 && arg.peek<rocblas_int>("n") == 0
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&& arg.peek<char>("left_svect") == 'N' && arg.peek<char>("right_svect") == 'N'
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&& arg.peek<char>("srange") == 'A')
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testing_gesvdx_notransv_bad_arg<BATCHED, STRIDED, T>();
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arg.batch_count = (BATCHED || STRIDED ? 3 : 1);
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testing_gesvdx_notransv<BATCHED, STRIDED, T>(arg);
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}
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};
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// non-batch tests
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TEST_P(GESVDX, __float)
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{
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run_tests<false, false, float>();
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}
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TEST_P(GESVDX, __double)
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{
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run_tests<false, false, double>();
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}
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TEST_P(GESVDX, __float_complex)
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{
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run_tests<false, false, rocblas_float_complex>();
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}
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TEST_P(GESVDX, __double_complex)
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{
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run_tests<false, false, rocblas_double_complex>();
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}
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// batched tests
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TEST_P(GESVDX, batched__float)
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{
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run_tests<true, true, float>();
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}
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TEST_P(GESVDX, batched__double)
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{
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run_tests<true, true, double>();
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}
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TEST_P(GESVDX, batched__float_complex)
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{
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run_tests<true, true, rocblas_float_complex>();
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}
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TEST_P(GESVDX, batched__double_complex)
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{
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run_tests<true, true, rocblas_double_complex>();
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}
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// strided_batched tests
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TEST_P(GESVDX, strided_batched__float)
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{
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run_tests<false, true, float>();
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}
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TEST_P(GESVDX, strided_batched__double)
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{
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run_tests<false, true, double>();
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}
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TEST_P(GESVDX, strided_batched__float_complex)
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{
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run_tests<false, true, rocblas_float_complex>();
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}
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TEST_P(GESVDX, strided_batched__double_complex)
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{
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run_tests<false, true, rocblas_double_complex>();
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}
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TEST_P(GESVDX_NOTRANSV, strided_batched__float)
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{
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run_tests<false, true, float>();
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}
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TEST_P(GESVDX_NOTRANSV, strided_batched__double)
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{
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run_tests<false, true, double>();
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}
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TEST_P(GESVDX_NOTRANSV, strided_batched__float_complex)
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{
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run_tests<false, true, rocblas_float_complex>();
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}
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TEST_P(GESVDX_NOTRANSV, strided_batched__double_complex)
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{
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run_tests<false, true, rocblas_double_complex>();
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}
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INSTANTIATE_TEST_SUITE_P(daily_lapack,
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GESVDX,
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Combine(ValuesIn(large_size_range), ValuesIn(large_opt_range)));
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INSTANTIATE_TEST_SUITE_P(checkin_lapack, GESVDX, Combine(ValuesIn(size_range), ValuesIn(opt_range)));
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INSTANTIATE_TEST_SUITE_P(daily_lapack,
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GESVDX_NOTRANSV,
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Combine(ValuesIn(large_size_range), ValuesIn(large_opt_range)));
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INSTANTIATE_TEST_SUITE_P(checkin_lapack,
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GESVDX_NOTRANSV,
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Combine(ValuesIn(size_range), ValuesIn(opt_range)));
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