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1130 lines
44 KiB
C++
1130 lines
44 KiB
C++
/* ************************************************************************
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* Copyright (C) 2020-2024 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell cop-
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* ies of the Software, and to permit persons to whom the Software is furnished
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* to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IM-
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* PLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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* COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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* IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNE-
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* CTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*
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*
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* ************************************************************************ */
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#pragma once
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#include "clientcommon.hpp"
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template <testAPI_t API, typename S, typename T, typename U, typename V>
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void gebrd_checkBadArgs(const hipsolverHandle_t handle,
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const int m,
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const int n,
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T dA,
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const int lda,
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const int stA,
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S dD,
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const int stD,
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S dE,
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const int stE,
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U dTauq,
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const int stQ,
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U dTaup,
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const int stP,
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U dWork,
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const int lwork,
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V dInfo,
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const int bc)
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{
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// handle
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EXPECT_ROCBLAS_STATUS(hipsolver_gebrd(API,
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nullptr,
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m,
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n,
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dA,
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lda,
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stA,
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dD,
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stD,
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dE,
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stE,
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dTauq,
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stQ,
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dTaup,
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stP,
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dWork,
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lwork,
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dInfo,
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bc),
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HIPSOLVER_STATUS_NOT_INITIALIZED);
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// values
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// N/A
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#if defined(__HIP_PLATFORM_HCC__) || defined(__HIP_PLATFORM_AMD__)
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// pointers
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EXPECT_ROCBLAS_STATUS(hipsolver_gebrd(API,
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handle,
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m,
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n,
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(T) nullptr,
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lda,
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stA,
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dD,
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stD,
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dE,
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stE,
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dTauq,
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stQ,
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dTaup,
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stP,
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dWork,
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lwork,
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dInfo,
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bc),
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HIPSOLVER_STATUS_INVALID_VALUE);
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EXPECT_ROCBLAS_STATUS(hipsolver_gebrd(API,
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handle,
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m,
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n,
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dA,
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lda,
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stA,
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(S) nullptr,
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stD,
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dE,
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stE,
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dTauq,
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stQ,
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dTaup,
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stP,
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dWork,
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lwork,
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dInfo,
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bc),
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HIPSOLVER_STATUS_INVALID_VALUE);
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EXPECT_ROCBLAS_STATUS(hipsolver_gebrd(API,
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handle,
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m,
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n,
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dA,
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lda,
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stA,
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dD,
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stD,
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(S) nullptr,
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stE,
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dTauq,
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stQ,
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dTaup,
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stP,
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dWork,
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lwork,
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dInfo,
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bc),
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HIPSOLVER_STATUS_INVALID_VALUE);
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EXPECT_ROCBLAS_STATUS(hipsolver_gebrd(API,
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handle,
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m,
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n,
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dA,
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lda,
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stA,
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dD,
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stD,
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dE,
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stE,
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(U) nullptr,
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stQ,
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dTaup,
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stP,
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dWork,
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lwork,
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dInfo,
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bc),
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HIPSOLVER_STATUS_INVALID_VALUE);
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EXPECT_ROCBLAS_STATUS(hipsolver_gebrd(API,
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handle,
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m,
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n,
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dA,
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lda,
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stA,
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dD,
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stD,
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dE,
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stE,
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dTauq,
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stQ,
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(U) nullptr,
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stP,
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dWork,
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lwork,
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dInfo,
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bc),
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HIPSOLVER_STATUS_INVALID_VALUE);
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EXPECT_ROCBLAS_STATUS(hipsolver_gebrd(API,
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handle,
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m,
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n,
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dA,
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lda,
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stA,
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dD,
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stD,
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dE,
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stE,
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dTauq,
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stQ,
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dTaup,
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stP,
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dWork,
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lwork,
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(V) nullptr,
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bc),
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HIPSOLVER_STATUS_INVALID_VALUE);
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#endif
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}
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template <testAPI_t API, bool BATCHED, bool STRIDED, typename T>
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void testing_gebrd_bad_arg()
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{
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using S = decltype(std::real(T{}));
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// safe arguments
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hipsolver_local_handle handle;
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int m = 2;
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int n = 2;
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int lda = 2;
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int stA = 1;
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int stD = 1;
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int stE = 1;
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int stQ = 1;
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int stP = 1;
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int bc = 1;
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if(BATCHED)
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{
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// // memory allocations
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// device_batch_vector<T> dA(1, 1, 1);
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// device_strided_batch_vector<S> dD(1, 1, 1, 1);
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// device_strided_batch_vector<S> dE(1, 1, 1, 1);
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// device_strided_batch_vector<T> dTauq(1, 1, 1, 1);
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// device_strided_batch_vector<T> dTaup(1, 1, 1, 1);
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// device_strided_batch_vector<int> dInfo(1, 1, 1, 1);
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// CHECK_HIP_ERROR(dA.memcheck());
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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(dTauq.memcheck());
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// CHECK_HIP_ERROR(dTaup.memcheck());
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// CHECK_HIP_ERROR(dInfo.memcheck());
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// int size_W;
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// hipsolver_gebrd_bufferSize(API, handle, m, n, dA.data(), lda, &size_W);
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// device_strided_batch_vector<T> dWork(size_W, 1, size_W, 1);
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// if(size_W)
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// CHECK_HIP_ERROR(dWork.memcheck());
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// // check bad arguments
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// gebrd_checkBadArgs<API>(handle,
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// m,
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// n,
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// dA.data(),
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// lda,
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// stA,
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// dD.data(),
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// stD,
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// dE.data(),
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// stE,
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// dTauq.data(),
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// stQ,
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// dTaup.data(),
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// stP,
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// dWork.data(),
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// size_W,
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// dInfo.data(),
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// bc);
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}
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else
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{
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// memory allocations
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device_strided_batch_vector<T> dA(1, 1, 1, 1);
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device_strided_batch_vector<S> dD(1, 1, 1, 1);
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device_strided_batch_vector<S> dE(1, 1, 1, 1);
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device_strided_batch_vector<T> dTauq(1, 1, 1, 1);
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device_strided_batch_vector<T> dTaup(1, 1, 1, 1);
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device_strided_batch_vector<int> dInfo(1, 1, 1, 1);
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CHECK_HIP_ERROR(dA.memcheck());
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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(dTauq.memcheck());
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CHECK_HIP_ERROR(dTaup.memcheck());
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CHECK_HIP_ERROR(dInfo.memcheck());
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int size_W;
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hipsolver_gebrd_bufferSize(API, handle, m, n, dA.data(), lda, &size_W);
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device_strided_batch_vector<T> dWork(size_W, 1, size_W, 1);
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if(size_W)
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CHECK_HIP_ERROR(dWork.memcheck());
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// check bad arguments
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gebrd_checkBadArgs<API>(handle,
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m,
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n,
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dA.data(),
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lda,
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stA,
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dD.data(),
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stD,
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dE.data(),
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stE,
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dTauq.data(),
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stQ,
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dTaup.data(),
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stP,
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dWork.data(),
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size_W,
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dInfo.data(),
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bc);
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}
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}
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template <bool CPU,
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bool GPU,
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typename T,
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typename Sd,
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typename Td,
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typename Ud,
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typename Sh,
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typename Th,
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typename Uh>
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void gebrd_initData(const hipsolverHandle_t handle,
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const int m,
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const int n,
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Td& dA,
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const int lda,
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const int stA,
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Sd& dD,
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const int stD,
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Sd& dE,
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const int stE,
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Ud& dTauq,
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const int stQ,
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Ud& dTaup,
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const int stP,
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const int bc,
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Th& hA,
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Sh& hD,
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Sh& hE,
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Uh& hTauq,
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Uh& hTaup)
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{
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if(CPU)
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{
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rocblas_init<T>(hA, true);
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// scale A to avoid singularities
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for(int b = 0; b < bc; ++b)
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{
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for(int i = 0; i < m; i++)
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{
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for(int j = 0; j < n; j++)
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{
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if(i == j || (m >= n && j == i + 1) || (m < n && i == j + 1))
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hA[b][i + j * lda] += 400;
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else
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hA[b][i + j * lda] -= 4;
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}
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}
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}
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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(dA.transfer_from(hA));
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}
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}
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template <testAPI_t API,
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typename T,
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typename Sd,
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typename Td,
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typename Ud,
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typename Vd,
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typename Sh,
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typename Th,
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typename Uh,
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typename Vh>
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void gebrd_getError(const hipsolverHandle_t handle,
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const int m,
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const int n,
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Td& dA,
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const int lda,
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const int stA,
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Sd& dD,
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const int stD,
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Sd& dE,
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const int stE,
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Ud& dTauq,
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const int stQ,
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Ud& dTaup,
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const int stP,
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Ud& dWork,
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const int lwork,
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Vd& dInfo,
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const int bc,
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Th& hA,
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Th& hARes,
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Sh& hD,
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Sh& hE,
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Uh& hTauq,
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Uh& hTaup,
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Vh& hInfo,
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Vh& hInfoRes,
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double* max_err)
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{
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constexpr bool COMPLEX = is_complex<T>;
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constexpr bool VERIFY_IMPLICIT_TEST = false;
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std::vector<T> hW(max(m, n));
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// input data initialization
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gebrd_initData<true, true, T>(handle,
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m,
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n,
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dA,
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lda,
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stA,
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dD,
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stD,
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dE,
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stE,
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dTauq,
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stQ,
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dTaup,
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stP,
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bc,
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hA,
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hD,
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hE,
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hTauq,
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hTaup);
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// execute computations
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// use verify_implicit_test to check correctness of the implicit test using
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// CPU lapack
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if(!VERIFY_IMPLICIT_TEST)
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{
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// GPU lapack
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CHECK_ROCBLAS_ERROR(hipsolver_gebrd(API,
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handle,
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m,
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n,
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dA.data(),
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lda,
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stA,
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dD.data(),
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stD,
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dE.data(),
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stE,
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dTauq.data(),
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stQ,
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dTaup.data(),
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stP,
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dWork.data(),
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lwork,
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dInfo.data(),
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bc));
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CHECK_HIP_ERROR(hARes.transfer_from(dA));
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CHECK_HIP_ERROR(hTauq.transfer_from(dTauq));
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CHECK_HIP_ERROR(hTaup.transfer_from(dTaup));
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CHECK_HIP_ERROR(hInfoRes.transfer_from(dInfo));
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}
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else
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{
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// CPU lapack
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for(int b = 0; b < bc; ++b)
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{
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memcpy(hARes[b], hA[b], lda * n * sizeof(T));
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cpu_gebrd(m,
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n,
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hARes[b],
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lda,
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hD[b],
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hE[b],
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hTauq[b],
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hTaup[b],
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hW.data(),
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max(m, n),
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hInfoRes[b]);
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}
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}
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// reconstruct A from the factorization for implicit testing
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std::vector<T> vec(max(m, n));
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vec[0] = 1;
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for(int b = 0; b < bc; ++b)
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{
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T* a = hARes[b];
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T* tauq = hTauq[b];
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T* taup = hTaup[b];
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if(m >= n)
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{
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for(int j = n - 1; j >= 0; j--)
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{
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if(j < n - 1)
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{
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if(COMPLEX)
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{
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cpu_lacgv(1, taup + j, 1);
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cpu_lacgv(n - j - 1, a + j + (j + 1) * lda, lda);
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}
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for(int i = 1; i < n - j - 1; i++)
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{
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vec[i] = a[j + (j + i + 1) * lda];
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a[j + (j + i + 1) * lda] = 0;
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}
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cpu_larf(HIPSOLVER_SIDE_RIGHT,
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m - j,
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n - j - 1,
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vec.data(),
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1,
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taup + j,
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a + j + (j + 1) * lda,
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lda,
|
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hW.data());
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if(COMPLEX)
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cpu_lacgv(1, taup + j, 1);
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|
}
|
|
|
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for(int i = 1; i < m - j; i++)
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{
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vec[i] = a[(j + i) + j * lda];
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a[(j + i) + j * lda] = 0;
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}
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cpu_larf(HIPSOLVER_SIDE_LEFT,
|
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m - j,
|
|
n - j,
|
|
vec.data(),
|
|
1,
|
|
tauq + j,
|
|
a + j + j * lda,
|
|
lda,
|
|
hW.data());
|
|
}
|
|
}
|
|
else
|
|
{
|
|
for(int j = m - 1; j >= 0; j--)
|
|
{
|
|
if(j < m - 1)
|
|
{
|
|
for(int i = 1; i < m - j - 1; i++)
|
|
{
|
|
vec[i] = a[(j + i + 1) + j * lda];
|
|
a[(j + i + 1) + j * lda] = 0;
|
|
}
|
|
cpu_larf(HIPSOLVER_SIDE_LEFT,
|
|
m - j - 1,
|
|
n - j,
|
|
vec.data(),
|
|
1,
|
|
tauq + j,
|
|
a + (j + 1) + j * lda,
|
|
lda,
|
|
hW.data());
|
|
}
|
|
|
|
if(COMPLEX)
|
|
{
|
|
cpu_lacgv(1, taup + j, 1);
|
|
cpu_lacgv(n - j, a + j + j * lda, lda);
|
|
}
|
|
for(int i = 1; i < n - j; i++)
|
|
{
|
|
vec[i] = a[j + (j + i) * lda];
|
|
a[j + (j + i) * lda] = 0;
|
|
}
|
|
cpu_larf(HIPSOLVER_SIDE_RIGHT,
|
|
m - j,
|
|
n - j,
|
|
vec.data(),
|
|
1,
|
|
taup + j,
|
|
a + j + j * lda,
|
|
lda,
|
|
hW.data());
|
|
if(COMPLEX)
|
|
cpu_lacgv(1, taup + j, 1);
|
|
}
|
|
}
|
|
}
|
|
|
|
// error is ||hA - hARes|| / ||hA||
|
|
// using frobenius norm
|
|
double err;
|
|
*max_err = 0;
|
|
for(int b = 0; b < bc; ++b)
|
|
{
|
|
err = norm_error('F', m, n, lda, hA[b], hARes[b]);
|
|
*max_err = err > *max_err ? err : *max_err;
|
|
}
|
|
|
|
// check info
|
|
err = 0;
|
|
for(int b = 0; b < bc; ++b)
|
|
{
|
|
EXPECT_EQ(hInfoRes[b][0], 0) << "where b = " << b;
|
|
if(hInfoRes[b][0] != 0)
|
|
err++;
|
|
}
|
|
*max_err += err;
|
|
}
|
|
|
|
template <testAPI_t API,
|
|
typename T,
|
|
typename Sd,
|
|
typename Td,
|
|
typename Ud,
|
|
typename Vd,
|
|
typename Sh,
|
|
typename Th,
|
|
typename Uh,
|
|
typename Vh>
|
|
void gebrd_getPerfData(const hipsolverHandle_t handle,
|
|
const int m,
|
|
const int n,
|
|
Td& dA,
|
|
const int lda,
|
|
const int stA,
|
|
Sd& dD,
|
|
const int stD,
|
|
Sd& dE,
|
|
const int stE,
|
|
Ud& dTauq,
|
|
const int stQ,
|
|
Ud& dTaup,
|
|
const int stP,
|
|
Ud& dWork,
|
|
const int lwork,
|
|
Vd& dInfo,
|
|
const int bc,
|
|
Th& hA,
|
|
Sh& hD,
|
|
Sh& hE,
|
|
Uh& hTauq,
|
|
Uh& hTaup,
|
|
Vh& hInfo,
|
|
double* gpu_time_used,
|
|
double* cpu_time_used,
|
|
const int hot_calls,
|
|
const bool perf)
|
|
{
|
|
std::vector<T> hW(max(m, n));
|
|
|
|
if(!perf)
|
|
{
|
|
gebrd_initData<true, false, T>(handle,
|
|
m,
|
|
n,
|
|
dA,
|
|
lda,
|
|
stA,
|
|
dD,
|
|
stD,
|
|
dE,
|
|
stE,
|
|
dTauq,
|
|
stQ,
|
|
dTaup,
|
|
stP,
|
|
bc,
|
|
hA,
|
|
hD,
|
|
hE,
|
|
hTauq,
|
|
hTaup);
|
|
|
|
// cpu-lapack performance (only if not in perf mode)
|
|
*cpu_time_used = get_time_us_no_sync();
|
|
for(int b = 0; b < bc; ++b)
|
|
cpu_gebrd(
|
|
m, n, hA[b], lda, hD[b], hE[b], hTauq[b], hTaup[b], hW.data(), max(m, n), hInfo[b]);
|
|
*cpu_time_used = get_time_us_no_sync() - *cpu_time_used;
|
|
}
|
|
|
|
gebrd_initData<true, false, T>(handle,
|
|
m,
|
|
n,
|
|
dA,
|
|
lda,
|
|
stA,
|
|
dD,
|
|
stD,
|
|
dE,
|
|
stE,
|
|
dTauq,
|
|
stQ,
|
|
dTaup,
|
|
stP,
|
|
bc,
|
|
hA,
|
|
hD,
|
|
hE,
|
|
hTauq,
|
|
hTaup);
|
|
|
|
// cold calls
|
|
for(int iter = 0; iter < 2; iter++)
|
|
{
|
|
gebrd_initData<false, true, T>(handle,
|
|
m,
|
|
n,
|
|
dA,
|
|
lda,
|
|
stA,
|
|
dD,
|
|
stD,
|
|
dE,
|
|
stE,
|
|
dTauq,
|
|
stQ,
|
|
dTaup,
|
|
stP,
|
|
bc,
|
|
hA,
|
|
hD,
|
|
hE,
|
|
hTauq,
|
|
hTaup);
|
|
|
|
CHECK_ROCBLAS_ERROR(hipsolver_gebrd(API,
|
|
handle,
|
|
m,
|
|
n,
|
|
dA.data(),
|
|
lda,
|
|
stA,
|
|
dD.data(),
|
|
stD,
|
|
dE.data(),
|
|
stE,
|
|
dTauq.data(),
|
|
stQ,
|
|
dTaup.data(),
|
|
stP,
|
|
dWork.data(),
|
|
lwork,
|
|
dInfo.data(),
|
|
bc));
|
|
}
|
|
|
|
// gpu-lapack performance
|
|
hipStream_t stream;
|
|
CHECK_ROCBLAS_ERROR(hipsolverGetStream(handle, &stream));
|
|
double start;
|
|
|
|
for(int iter = 0; iter < hot_calls; iter++)
|
|
{
|
|
gebrd_initData<false, true, T>(handle,
|
|
m,
|
|
n,
|
|
dA,
|
|
lda,
|
|
stA,
|
|
dD,
|
|
stD,
|
|
dE,
|
|
stE,
|
|
dTauq,
|
|
stQ,
|
|
dTaup,
|
|
stP,
|
|
bc,
|
|
hA,
|
|
hD,
|
|
hE,
|
|
hTauq,
|
|
hTaup);
|
|
|
|
start = get_time_us_sync(stream);
|
|
hipsolver_gebrd(API,
|
|
handle,
|
|
m,
|
|
n,
|
|
dA.data(),
|
|
lda,
|
|
stA,
|
|
dD.data(),
|
|
stD,
|
|
dE.data(),
|
|
stE,
|
|
dTauq.data(),
|
|
stQ,
|
|
dTaup.data(),
|
|
stP,
|
|
dWork.data(),
|
|
lwork,
|
|
dInfo.data(),
|
|
bc);
|
|
*gpu_time_used += get_time_us_sync(stream) - start;
|
|
}
|
|
*gpu_time_used /= hot_calls;
|
|
}
|
|
|
|
template <testAPI_t API, bool BATCHED, bool STRIDED, typename T>
|
|
void testing_gebrd(Arguments& argus)
|
|
{
|
|
using S = decltype(std::real(T{}));
|
|
|
|
// get arguments
|
|
hipsolver_local_handle handle;
|
|
int m = argus.get<int>("m");
|
|
int n = argus.get<int>("n", m);
|
|
int lda = argus.get<int>("lda", m);
|
|
int stA = argus.get<int>("strideA", lda * n);
|
|
int stD = argus.get<int>("strideD", min(m, n));
|
|
int stE = argus.get<int>("strideE", min(m, n) - 1);
|
|
int stQ = argus.get<int>("strideQ", min(m, n));
|
|
int stP = argus.get<int>("strideP", min(m, n));
|
|
|
|
int bc = argus.batch_count;
|
|
int hot_calls = argus.iters;
|
|
|
|
int stARes = (argus.unit_check || argus.norm_check) ? stA : 0;
|
|
|
|
// check non-supported values
|
|
// N/A
|
|
|
|
// determine sizes
|
|
size_t size_A = lda * n;
|
|
size_t size_D = min(m, n);
|
|
size_t size_E = min(m, n) - 1;
|
|
size_t size_Q = min(m, n);
|
|
size_t size_P = min(m, n);
|
|
double max_error = 0, gpu_time_used = 0, cpu_time_used = 0;
|
|
|
|
size_t size_ARes = (argus.unit_check || argus.norm_check) ? size_A : 0;
|
|
|
|
// check invalid sizes
|
|
bool invalid_size = (m < 0 || n < 0 || lda < m || bc < 0);
|
|
if(invalid_size)
|
|
{
|
|
if(BATCHED)
|
|
{
|
|
// EXPECT_ROCBLAS_STATUS(hipsolver_gebrd(API,
|
|
// handle,
|
|
// m,
|
|
// n,
|
|
// (T* const*)nullptr,
|
|
// lda,
|
|
// stA,
|
|
// (S*)nullptr,
|
|
// stD,
|
|
// (S*)nullptr,
|
|
// stE,
|
|
// (T*)nullptr,
|
|
// stQ,
|
|
// (T*)nullptr,
|
|
// stP,
|
|
// (T*)nullptr,
|
|
// 0,
|
|
// (int*)nullptr,
|
|
// bc),
|
|
// HIPSOLVER_STATUS_INVALID_VALUE);
|
|
}
|
|
else
|
|
{
|
|
EXPECT_ROCBLAS_STATUS(hipsolver_gebrd(API,
|
|
handle,
|
|
m,
|
|
n,
|
|
(T*)nullptr,
|
|
lda,
|
|
stA,
|
|
(S*)nullptr,
|
|
stD,
|
|
(S*)nullptr,
|
|
stE,
|
|
(T*)nullptr,
|
|
stQ,
|
|
(T*)nullptr,
|
|
stP,
|
|
(T*)nullptr,
|
|
0,
|
|
(int*)nullptr,
|
|
bc),
|
|
HIPSOLVER_STATUS_INVALID_VALUE);
|
|
}
|
|
|
|
if(argus.timing)
|
|
rocsolver_bench_inform(inform_invalid_size);
|
|
|
|
return;
|
|
}
|
|
|
|
// memory size query is necessary
|
|
int size_W;
|
|
hipsolver_gebrd_bufferSize(API, handle, m, n, (T*)nullptr, lda, &size_W);
|
|
|
|
if(argus.mem_query)
|
|
{
|
|
rocsolver_bench_inform(inform_mem_query, size_W);
|
|
return;
|
|
}
|
|
|
|
if(BATCHED)
|
|
{
|
|
// // memory allocations
|
|
// host_batch_vector<T> hA(size_A, 1, bc);
|
|
// host_batch_vector<T> hARes(size_ARes, 1, bc);
|
|
// host_strided_batch_vector<S> hD(size_D, 1, stD, bc);
|
|
// host_strided_batch_vector<S> hE(size_E, 1, stE, bc);
|
|
// host_strided_batch_vector<T> hTaup(size_P, 1, stP, bc);
|
|
// host_strided_batch_vector<T> hTauq(size_Q, 1, stQ, bc);
|
|
// host_strided_batch_vector<int> hInfo(1, 1, 1, bc);
|
|
// host_strided_batch_vector<int> hInfoRes(1, 1, 1, bc);
|
|
// device_batch_vector<T> dA(size_A, 1, bc);
|
|
// device_strided_batch_vector<S> dD(size_D, 1, stD, bc);
|
|
// device_strided_batch_vector<S> dE(size_E, 1, stE, bc);
|
|
// device_strided_batch_vector<T> dTauq(size_Q, 1, stQ, bc);
|
|
// device_strided_batch_vector<T> dTaup(size_P, 1, stP, bc);
|
|
// device_strided_batch_vector<int> dInfo(1, 1, 1, bc);
|
|
// device_strided_batch_vector<T> dWork(size_W, 1, size_W, 1); // size_W accounts for bc
|
|
// if(size_A)
|
|
// CHECK_HIP_ERROR(dA.memcheck());
|
|
// if(size_D)
|
|
// CHECK_HIP_ERROR(dD.memcheck());
|
|
// if(size_E)
|
|
// CHECK_HIP_ERROR(dE.memcheck());
|
|
// if(size_Q)
|
|
// CHECK_HIP_ERROR(dTauq.memcheck());
|
|
// if(size_P)
|
|
// CHECK_HIP_ERROR(dTaup.memcheck());
|
|
// CHECK_HIP_ERROR(dInfo.memcheck());
|
|
// if(size_W)
|
|
// CHECK_HIP_ERROR(dWork.memcheck());
|
|
|
|
// // check computations
|
|
// if(argus.unit_check || argus.norm_check)
|
|
// gebrd_getError<API, T>(handle,
|
|
// m,
|
|
// n,
|
|
// dA,
|
|
// lda,
|
|
// stA,
|
|
// dD,
|
|
// stD,
|
|
// dE,
|
|
// stE,
|
|
// dTauq,
|
|
// stQ,
|
|
// dTaup,
|
|
// stP,
|
|
// dWork,
|
|
// size_W,
|
|
// dInfo,
|
|
// bc,
|
|
// hA,
|
|
// hARes,
|
|
// hD,
|
|
// hE,
|
|
// hTauq,
|
|
// hTaup,
|
|
// hInfo,
|
|
// hInfoRes,
|
|
// &max_error);
|
|
|
|
// // collect performance data
|
|
// if(argus.timing)
|
|
// gebrd_getPerfData<API, T>(handle,
|
|
// m,
|
|
// n,
|
|
// dA,
|
|
// lda,
|
|
// stA,
|
|
// dD,
|
|
// stD,
|
|
// dE,
|
|
// stE,
|
|
// dTauq,
|
|
// stQ,
|
|
// dTaup,
|
|
// stP,
|
|
// dWork,
|
|
// size_W,
|
|
// dInfo,
|
|
// bc,
|
|
// hA,
|
|
// hD,
|
|
// hE,
|
|
// hTauq,
|
|
// hTaup,
|
|
// hInfo,
|
|
// &gpu_time_used,
|
|
// &cpu_time_used,
|
|
// hot_calls,
|
|
// argus.perf);
|
|
}
|
|
|
|
else
|
|
{
|
|
// memory allocations
|
|
host_strided_batch_vector<T> hA(size_A, 1, stA, bc);
|
|
host_strided_batch_vector<T> hARes(size_ARes, 1, stARes, bc);
|
|
host_strided_batch_vector<S> hD(size_D, 1, stD, bc);
|
|
host_strided_batch_vector<S> hE(size_E, 1, stE, bc);
|
|
host_strided_batch_vector<T> hTaup(size_P, 1, stP, bc);
|
|
host_strided_batch_vector<T> hTauq(size_Q, 1, stQ, bc);
|
|
host_strided_batch_vector<int> hInfo(1, 1, 1, bc);
|
|
host_strided_batch_vector<int> hInfoRes(1, 1, 1, bc);
|
|
device_strided_batch_vector<T> dA(size_A, 1, stA, bc);
|
|
device_strided_batch_vector<S> dD(size_D, 1, stD, bc);
|
|
device_strided_batch_vector<S> dE(size_E, 1, stE, bc);
|
|
device_strided_batch_vector<T> dTauq(size_Q, 1, stQ, bc);
|
|
device_strided_batch_vector<T> dTaup(size_P, 1, stP, bc);
|
|
device_strided_batch_vector<int> dInfo(1, 1, 1, bc);
|
|
device_strided_batch_vector<T> dWork(size_W, 1, size_W, 1); // size_W accounts for bc
|
|
if(size_A)
|
|
CHECK_HIP_ERROR(dA.memcheck());
|
|
if(size_D)
|
|
CHECK_HIP_ERROR(dD.memcheck());
|
|
if(size_E)
|
|
CHECK_HIP_ERROR(dE.memcheck());
|
|
if(size_Q)
|
|
CHECK_HIP_ERROR(dTauq.memcheck());
|
|
if(size_P)
|
|
CHECK_HIP_ERROR(dTaup.memcheck());
|
|
CHECK_HIP_ERROR(dInfo.memcheck());
|
|
if(size_W)
|
|
CHECK_HIP_ERROR(dWork.memcheck());
|
|
|
|
// check computations
|
|
if(argus.unit_check || argus.norm_check)
|
|
gebrd_getError<API, T>(handle,
|
|
m,
|
|
n,
|
|
dA,
|
|
lda,
|
|
stA,
|
|
dD,
|
|
stD,
|
|
dE,
|
|
stE,
|
|
dTauq,
|
|
stQ,
|
|
dTaup,
|
|
stP,
|
|
dWork,
|
|
size_W,
|
|
dInfo,
|
|
bc,
|
|
hA,
|
|
hARes,
|
|
hD,
|
|
hE,
|
|
hTauq,
|
|
hTaup,
|
|
hInfo,
|
|
hInfoRes,
|
|
&max_error);
|
|
|
|
// collect performance data
|
|
if(argus.timing)
|
|
gebrd_getPerfData<API, T>(handle,
|
|
m,
|
|
n,
|
|
dA,
|
|
lda,
|
|
stA,
|
|
dD,
|
|
stD,
|
|
dE,
|
|
stE,
|
|
dTauq,
|
|
stQ,
|
|
dTaup,
|
|
stP,
|
|
dWork,
|
|
size_W,
|
|
dInfo,
|
|
bc,
|
|
hA,
|
|
hD,
|
|
hE,
|
|
hTauq,
|
|
hTaup,
|
|
hInfo,
|
|
&gpu_time_used,
|
|
&cpu_time_used,
|
|
hot_calls,
|
|
argus.perf);
|
|
}
|
|
|
|
// validate results for rocsolver-test
|
|
// using m*n * machine_precision as tolerance
|
|
if(argus.unit_check)
|
|
ROCSOLVER_TEST_CHECK(T, max_error, m * n);
|
|
|
|
// output results for rocsolver-bench
|
|
if(argus.timing)
|
|
{
|
|
if(!argus.perf)
|
|
{
|
|
std::cerr << "\n============================================\n";
|
|
std::cerr << "Arguments:\n";
|
|
std::cerr << "============================================\n";
|
|
if(BATCHED)
|
|
{
|
|
rocsolver_bench_output("m", "n", "lda", "strideP", "batch_c");
|
|
rocsolver_bench_output(m, n, lda, stP, bc);
|
|
}
|
|
else if(STRIDED)
|
|
{
|
|
rocsolver_bench_output("m", "n", "lda", "strideA", "strideP", "batch_c");
|
|
rocsolver_bench_output(m, n, lda, stA, stP, bc);
|
|
}
|
|
else
|
|
{
|
|
rocsolver_bench_output("m", "n", "lda");
|
|
rocsolver_bench_output(m, n, lda);
|
|
}
|
|
std::cerr << "\n============================================\n";
|
|
std::cerr << "Results:\n";
|
|
std::cerr << "============================================\n";
|
|
if(argus.norm_check)
|
|
{
|
|
rocsolver_bench_output("cpu_time", "gpu_time", "error");
|
|
rocsolver_bench_output(cpu_time_used, gpu_time_used, max_error);
|
|
}
|
|
else
|
|
{
|
|
rocsolver_bench_output("cpu_time", "gpu_time");
|
|
rocsolver_bench_output(cpu_time_used, gpu_time_used);
|
|
}
|
|
std::cerr << std::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();
|
|
}
|