/* ************************************************************************** * Copyright (C) 2020-2025 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. * *************************************************************************/ #pragma once #include "common/misc/client_util.hpp" #include "common/misc/clientcommon.hpp" #include "common/misc/lapack_host_reference.hpp" #include "common/misc/norm.hpp" #include "common/misc/rocsolver.hpp" #include "common/misc/rocsolver_arguments.hpp" #include "common/misc/rocsolver_test.hpp" #include "common/misc/rocsolver_timer.hpp" template void sterf_checkBadArgs(const rocblas_handle handle, const rocblas_int n, T dD, T dE, U dInfo) { // handle EXPECT_ROCBLAS_STATUS(rocsolver_sterf(nullptr, n, dD, dE, dInfo), rocblas_status_invalid_handle); // values // N/A // pointers EXPECT_ROCBLAS_STATUS(rocsolver_sterf(handle, n, (T) nullptr, dE, dInfo), rocblas_status_invalid_pointer); EXPECT_ROCBLAS_STATUS(rocsolver_sterf(handle, n, dD, (T) nullptr, dInfo), rocblas_status_invalid_pointer); EXPECT_ROCBLAS_STATUS(rocsolver_sterf(handle, n, dD, dE, (U) nullptr), rocblas_status_invalid_pointer); // quick return with invalid pointers EXPECT_ROCBLAS_STATUS(rocsolver_sterf(handle, 0, (T) nullptr, (T) nullptr, dInfo), rocblas_status_success); } template void testing_sterf_bad_arg() { // safe arguments rocblas_local_handle handle; rocblas_int n = 2; // memory allocations device_strided_batch_vector dD(1, 1, 1, 1); device_strided_batch_vector dE(1, 1, 1, 1); device_strided_batch_vector dInfo(1, 1, 1, 1); CHECK_HIP_ERROR(dD.memcheck()); CHECK_HIP_ERROR(dE.memcheck()); CHECK_HIP_ERROR(dInfo.memcheck()); // check bad arguments sterf_checkBadArgs(handle, n, dD.data(), dE.data(), dInfo.data()); } template void sterf_initData(const rocblas_handle handle, const rocblas_int n, Td& dD, Td& dE, Ud& dInfo, Th& hD, Th& hE, Uh& hInfo) { if(CPU) { rocblas_init(hD, true); rocblas_init(hE, true); // scale matrix and add random splits for(rocblas_int i = 0; i < n; i++) { hD[0][i] += 400; hE[0][i] -= 5; } // add fixed splits in the matrix to test split handling rocblas_int k = n / 2; hE[0][k] = 0; hE[0][k - 1] = 0; } if(GPU) { // now copy to the GPU CHECK_HIP_ERROR(dD.transfer_from(hD)); CHECK_HIP_ERROR(dE.transfer_from(hE)); } } template void sterf_getError(const rocblas_handle handle, const rocblas_int n, Td& dD, Td& dE, Ud& dInfo, Th& hD, Th& hDRes, Th& hE, Th& hERes, Uh& hInfo, double* max_err) { // input data initialization sterf_initData(handle, n, dD, dE, dInfo, hD, hE, hInfo); // execute computations // GPU lapack CHECK_ROCBLAS_ERROR(rocsolver_sterf(handle, n, dD.data(), dE.data(), dInfo.data())); CHECK_HIP_ERROR(hDRes.transfer_from(dD)); CHECK_HIP_ERROR(hERes.transfer_from(dE)); // CPU lapack cpu_sterf(n, hD[0], hE[0]); // error is ||hD - hDRes|| / ||hD|| // using frobenius norm *max_err = norm_error('F', 1, n, 1, hD[0], hDRes[0]); } template void sterf_getPerfData(const rocblas_handle handle, const rocblas_int n, Td& dD, Td& dE, Ud& dInfo, Th& hD, Th& hE, Uh& hInfo, double* gpu_time_used, double* cpu_time_used, const rocblas_int hot_calls, const int profile, const bool profile_kernels, const bool perf) { if(!perf) { sterf_initData(handle, n, dD, dE, dInfo, hD, hE, hInfo); // cpu-lapack performance (only if not in perf mode) *cpu_time_used = get_time_us_no_sync(); cpu_sterf(n, hD[0], hE[0]); *cpu_time_used = get_time_us_no_sync() - *cpu_time_used; } sterf_initData(handle, n, dD, dE, dInfo, hD, hE, hInfo); // cold calls for(int iter = 0; iter < 2; iter++) { sterf_initData(handle, n, dD, dE, dInfo, hD, hE, hInfo); CHECK_ROCBLAS_ERROR(rocsolver_sterf(handle, n, dD.data(), dE.data(), dInfo.data())); } // gpu-lapack performance hipStream_t stream; CHECK_ROCBLAS_ERROR(rocblas_get_stream(handle, &stream)); rocsolver_timer timer; if(profile > 0) { if(profile_kernels) rocsolver_log_set_layer_mode(rocblas_layer_mode_log_profile | rocblas_layer_mode_ex_log_kernel); else rocsolver_log_set_layer_mode(rocblas_layer_mode_log_profile); rocsolver_log_set_max_levels(profile); } for(rocblas_int iter = 0; iter < hot_calls; iter++) { sterf_initData(handle, n, dD, dE, dInfo, hD, hE, hInfo); timer.start(stream); rocsolver_sterf(handle, n, dD.data(), dE.data(), dInfo.data()); timer.end(stream); } *gpu_time_used = timer.get_combined(); } template void testing_sterf(Arguments& argus) { // get arguments rocblas_local_handle handle; rocblas_int n = argus.get("n"); rocblas_int hot_calls = argus.iters; if(argus.alg_mode == 1) { EXPECT_ROCBLAS_STATUS( rocsolver_set_alg_mode(handle, rocsolver_function_sterf, rocsolver_alg_mode_hybrid), rocblas_status_success); rocsolver_alg_mode alg_mode; EXPECT_ROCBLAS_STATUS(rocsolver_get_alg_mode(handle, rocsolver_function_sterf, &alg_mode), rocblas_status_success); EXPECT_EQ(alg_mode, rocsolver_alg_mode_hybrid); } // check non-supported values // N/A // determine sizes size_t size_D = n; size_t size_E = n; double max_error = 0, gpu_time_used = 0, cpu_time_used = 0; size_t size_DRes = (argus.unit_check || argus.norm_check) ? size_D : 0; size_t size_ERes = (argus.unit_check || argus.norm_check) ? size_E : 0; // check invalid sizes bool invalid_size = (n < 0); if(invalid_size) { EXPECT_ROCBLAS_STATUS( rocsolver_sterf(handle, n, (T*)nullptr, (T*)nullptr, (rocblas_int*)nullptr), rocblas_status_invalid_size); if(argus.timing) rocsolver_bench_inform(inform_invalid_size); return; } // memory size query is necessary if(argus.mem_query) { CHECK_ROCBLAS_ERROR(rocblas_start_device_memory_size_query(handle)); CHECK_ALLOC_QUERY(rocsolver_sterf(handle, n, (T*)nullptr, (T*)nullptr, (rocblas_int*)nullptr)); size_t size; CHECK_ROCBLAS_ERROR(rocblas_stop_device_memory_size_query(handle, &size)); rocsolver_bench_inform(inform_mem_query, size); return; } // memory allocations host_strided_batch_vector hD(size_D, 1, size_D, 1); host_strided_batch_vector hDRes(size_DRes, 1, size_DRes, 1); host_strided_batch_vector hE(size_E, 1, size_E, 1); host_strided_batch_vector hERes(size_ERes, 1, size_ERes, 1); host_strided_batch_vector hInfo(1, 1, 1, 1); device_strided_batch_vector dD(size_D, 1, size_D, 1); device_strided_batch_vector dE(size_E, 1, size_E, 1); device_strided_batch_vector dInfo(1, 1, 1, 1); if(size_D) CHECK_HIP_ERROR(dD.memcheck()); if(size_E) CHECK_HIP_ERROR(dE.memcheck()); CHECK_HIP_ERROR(dInfo.memcheck()); // check quick return if(n == 0) { EXPECT_ROCBLAS_STATUS(rocsolver_sterf(handle, n, dD.data(), dE.data(), dInfo.data()), rocblas_status_success); if(argus.timing) rocsolver_bench_inform(inform_quick_return); return; } // check computations if(argus.unit_check || argus.norm_check) sterf_getError(handle, n, dD, dE, dInfo, hD, hDRes, hE, hERes, hInfo, &max_error); // collect performance data if(argus.timing && hot_calls > 0) sterf_getPerfData(handle, n, dD, dE, dInfo, hD, hE, hInfo, &gpu_time_used, &cpu_time_used, hot_calls, argus.profile, argus.profile_kernels, argus.perf); // validate results for rocsolver-test // using n * machine_precision as tolerance if(argus.unit_check) ROCSOLVER_TEST_CHECK(T, max_error, n); // output results for rocsolver-bench if(argus.timing) { if(!argus.perf) { rocsolver_bench_header("Arguments:"); rocsolver_bench_output("n"); rocsolver_bench_output(n); rocsolver_bench_header("Results:"); if(argus.norm_check) { rocsolver_bench_output("cpu_time_us", "gpu_time_us", "error"); rocsolver_bench_output(cpu_time_used, gpu_time_used, max_error); } else { rocsolver_bench_output("cpu_time_us", "gpu_time_us"); rocsolver_bench_output(cpu_time_used, gpu_time_used); } rocsolver_bench_endl(); } else { if(argus.norm_check) rocsolver_bench_output(gpu_time_used, max_error); else rocsolver_bench_output(gpu_time_used); } } // ensure all arguments were consumed argus.validate_consumed(); } #define EXTERN_TESTING_STERF(...) extern template void testing_sterf<__VA_ARGS__>(Arguments&); INSTANTIATE(EXTERN_TESTING_STERF, FOREACH_REAL_TYPE, APPLY_STAMP)