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