/* ************************************************************************** * 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> 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> 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> 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> large_size_range = {{120, 100}, {300, 120}, {100, 120}, {120, 300}}; const vector> 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 size = std::get<0>(tup); vector opt = std::get<1>(tup); Arguments arg; // sizes rocblas_int m = size[0]; rocblas_int n = size[1]; arg.set("m", m); arg.set("n", n); // leading dimensions arg.set("lda", m + opt[0] * 10); arg.set("ldu", m + opt[1] * 10); if(notransv) arg.set("ldv", n + opt[2] * 10); else arg.set("ldv", min(m, n) + opt[2] * 10); // vector options if(opt[3] == 0) arg.set("left_svect", 'N'); else if(opt[3] == 1) arg.set("left_svect", 'S'); else arg.set("left_svect", 'A'); if(opt[4] == 0) arg.set("right_svect", 'N'); else if(opt[4] == 1) arg.set("right_svect", 'S'); else arg.set("right_svect", 'A'); arg.set("abstol", 0); arg.set("max_sweeps", 100); // only testing standard use case/defaults for strides arg.timing = 0; return arg; } class GESVDJ : public ::TestWithParam { protected: void TearDown() override { ASSERT_EQ(hipGetLastError(), hipSuccess); } template void run_tests() { Arguments arg = gesvdj_setup_arguments(GetParam(), false); if(arg.peek("m") == 0 && arg.peek("n") == 0 && arg.peek("left_svect") == 'N' && arg.peek("right_svect") == 'N') testing_gesvdj_bad_arg(); arg.batch_count = (BATCHED || STRIDED ? 3 : 1); testing_gesvdj(arg); } }; class GESVDJ_NOTRANSV : public ::TestWithParam { protected: void TearDown() override { ASSERT_EQ(hipGetLastError(), hipSuccess); } template void run_tests() { Arguments arg = gesvdj_setup_arguments(GetParam(), true); if(arg.peek("m") == 0 && arg.peek("n") == 0 && arg.peek("left_svect") == 'N' && arg.peek("right_svect") == 'N') testing_gesvdj_notransv_bad_arg(); arg.batch_count = (BATCHED || STRIDED ? 3 : 1); testing_gesvdj_notransv(arg); } }; // non-batch tests TEST_P(GESVDJ, __float) { run_tests(); } TEST_P(GESVDJ, __double) { run_tests(); } TEST_P(GESVDJ, __float_complex) { run_tests(); } TEST_P(GESVDJ, __double_complex) { run_tests(); } TEST_P(GESVDJ_NOTRANSV, __float) { run_tests(); } TEST_P(GESVDJ_NOTRANSV, __double) { run_tests(); } TEST_P(GESVDJ_NOTRANSV, __float_complex) { run_tests(); } TEST_P(GESVDJ_NOTRANSV, __double_complex) { run_tests(); } // batched tests TEST_P(GESVDJ, batched__float) { run_tests(); } TEST_P(GESVDJ, batched__double) { run_tests(); } TEST_P(GESVDJ, batched__float_complex) { run_tests(); } TEST_P(GESVDJ, batched__double_complex) { run_tests(); } // strided_batched tests TEST_P(GESVDJ, strided_batched__float) { run_tests(); } TEST_P(GESVDJ, strided_batched__double) { run_tests(); } TEST_P(GESVDJ, strided_batched__float_complex) { run_tests(); } TEST_P(GESVDJ, strided_batched__double_complex) { run_tests(); } TEST_P(GESVDJ_NOTRANSV, strided_batched__float) { run_tests(); } TEST_P(GESVDJ_NOTRANSV, strided_batched__double) { run_tests(); } TEST_P(GESVDJ_NOTRANSV, strided_batched__float_complex) { run_tests(); } TEST_P(GESVDJ_NOTRANSV, strided_batched__double_complex) { run_tests(); } 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)));