/* ************************************************************************** * 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> 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> 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> 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> large_size_range = {{100, 100, 1, 0, 0}, {300, 120, 0, 0, 1}, {200, 300, 0, 0, 0}}; const vector> 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 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 + size[2] * 10); arg.set("ldu", m + size[3] * 10); if(notransv) arg.set("ldv", n + size[4] * 10); else arg.set("ldv", min(m, n) + size[4] * 10); // vector options if(opt[0] == 0) arg.set("left_svect", 'N'); else arg.set("left_svect", 'S'); if(opt[1] == 0) arg.set("right_svect", 'N'); else arg.set("right_svect", 'S'); // only testing standard use case/defaults for strides // ranges arg.set("srange", (opt[2] == 0 ? 'A' : (opt[2] == 1 ? 'V' : 'I'))); arg.set("vl", opt[3]); arg.set("vu", opt[4]); arg.set("il", opt[5]); arg.set("iu", opt[6]); arg.timing = 0; return arg; } class GESVDX : public ::TestWithParam { protected: void TearDown() override { ASSERT_EQ(hipGetLastError(), hipSuccess); } template void run_tests() { Arguments arg = gesvdx_setup_arguments(GetParam(), false); if(arg.peek("m") == 0 && arg.peek("n") == 0 && arg.peek("left_svect") == 'N' && arg.peek("right_svect") == 'N' && arg.peek("srange") == 'A') testing_gesvdx_bad_arg(); arg.batch_count = (BATCHED || STRIDED ? 3 : 1); testing_gesvdx(arg); } }; class GESVDX_NOTRANSV : public ::TestWithParam { protected: void TearDown() override { ASSERT_EQ(hipGetLastError(), hipSuccess); } template void run_tests() { Arguments arg = gesvdx_setup_arguments(GetParam(), true); if(arg.peek("m") == 0 && arg.peek("n") == 0 && arg.peek("left_svect") == 'N' && arg.peek("right_svect") == 'N' && arg.peek("srange") == 'A') testing_gesvdx_notransv_bad_arg(); arg.batch_count = (BATCHED || STRIDED ? 3 : 1); testing_gesvdx_notransv(arg); } }; // non-batch tests TEST_P(GESVDX, __float) { run_tests(); } TEST_P(GESVDX, __double) { run_tests(); } TEST_P(GESVDX, __float_complex) { run_tests(); } TEST_P(GESVDX, __double_complex) { run_tests(); } // batched tests TEST_P(GESVDX, batched__float) { run_tests(); } TEST_P(GESVDX, batched__double) { run_tests(); } TEST_P(GESVDX, batched__float_complex) { run_tests(); } TEST_P(GESVDX, batched__double_complex) { run_tests(); } // strided_batched tests TEST_P(GESVDX, strided_batched__float) { run_tests(); } TEST_P(GESVDX, strided_batched__double) { run_tests(); } TEST_P(GESVDX, strided_batched__float_complex) { run_tests(); } TEST_P(GESVDX, strided_batched__double_complex) { run_tests(); } TEST_P(GESVDX_NOTRANSV, strided_batched__float) { run_tests(); } TEST_P(GESVDX_NOTRANSV, strided_batched__double) { run_tests(); } TEST_P(GESVDX_NOTRANSV, strided_batched__float_complex) { run_tests(); } TEST_P(GESVDX_NOTRANSV, strided_batched__double_complex) { run_tests(); } 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)));