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711 lines
31 KiB
C++
711 lines
31 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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* 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, bool COMPLEX, typename T, typename U>
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void ormtr_unmtr_checkBadArgs(const hipsolverHandle_t handle,
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const hipsolverSideMode_t side,
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const hipsolverFillMode_t uplo,
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const hipsolverOperation_t trans,
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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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T dIpiv,
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T dC,
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const int ldc,
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T dWork,
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const int lwork,
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U dInfo)
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{
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// handle
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EXPECT_ROCBLAS_STATUS(
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hipsolver_ormtr_unmtr(
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API, nullptr, side, uplo, trans, m, n, dA, lda, dIpiv, dC, ldc, dWork, lwork, dInfo),
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HIPSOLVER_STATUS_NOT_INITIALIZED);
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// values
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EXPECT_ROCBLAS_STATUS(hipsolver_ormtr_unmtr(API,
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handle,
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hipsolverSideMode_t(-1),
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uplo,
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trans,
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m,
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n,
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dA,
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lda,
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dIpiv,
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dC,
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ldc,
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dWork,
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lwork,
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dInfo),
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HIPSOLVER_STATUS_INVALID_ENUM);
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EXPECT_ROCBLAS_STATUS(hipsolver_ormtr_unmtr(API,
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handle,
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side,
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hipsolverFillMode_t(-1),
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trans,
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m,
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n,
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dA,
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lda,
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dIpiv,
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dC,
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ldc,
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dWork,
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lwork,
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dInfo),
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HIPSOLVER_STATUS_INVALID_ENUM);
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EXPECT_ROCBLAS_STATUS(hipsolver_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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hipsolverOperation_t(-1),
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m,
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n,
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dA,
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lda,
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dIpiv,
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dC,
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ldc,
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dWork,
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lwork,
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dInfo),
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HIPSOLVER_STATUS_INVALID_ENUM);
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if(COMPLEX)
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EXPECT_ROCBLAS_STATUS(hipsolver_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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HIPSOLVER_OP_T,
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m,
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n,
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dA,
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lda,
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dIpiv,
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dC,
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ldc,
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dWork,
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lwork,
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dInfo),
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HIPSOLVER_STATUS_INVALID_VALUE);
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else
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EXPECT_ROCBLAS_STATUS(hipsolver_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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HIPSOLVER_OP_C,
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m,
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n,
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dA,
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lda,
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dIpiv,
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dC,
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ldc,
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dWork,
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lwork,
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dInfo),
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HIPSOLVER_STATUS_INVALID_VALUE);
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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_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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trans,
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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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dIpiv,
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dC,
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ldc,
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dWork,
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lwork,
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dInfo),
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HIPSOLVER_STATUS_INVALID_VALUE);
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EXPECT_ROCBLAS_STATUS(hipsolver_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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trans,
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m,
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n,
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dA,
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lda,
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(T) nullptr,
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dC,
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ldc,
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dWork,
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lwork,
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dInfo),
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HIPSOLVER_STATUS_INVALID_VALUE);
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EXPECT_ROCBLAS_STATUS(hipsolver_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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trans,
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m,
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n,
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dA,
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lda,
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dIpiv,
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(T) nullptr,
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ldc,
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dWork,
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lwork,
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dInfo),
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HIPSOLVER_STATUS_INVALID_VALUE);
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EXPECT_ROCBLAS_STATUS(hipsolver_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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trans,
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m,
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n,
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dA,
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lda,
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dIpiv,
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dC,
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ldc,
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dWork,
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lwork,
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(U) nullptr),
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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, typename T, bool COMPLEX = is_complex<T>>
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void testing_ormtr_unmtr_bad_arg()
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{
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// safe arguments
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hipsolver_local_handle handle;
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hipsolverSideMode_t side = HIPSOLVER_SIDE_LEFT;
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hipsolverFillMode_t uplo = HIPSOLVER_FILL_MODE_UPPER;
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hipsolverOperation_t trans = HIPSOLVER_OP_N;
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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 ldc = 2;
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// memory allocation
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device_strided_batch_vector<T> dA(1, 1, 1, 1);
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device_strided_batch_vector<T> dIpiv(1, 1, 1, 1);
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device_strided_batch_vector<T> dC(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(dIpiv.memcheck());
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CHECK_HIP_ERROR(dC.memcheck());
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CHECK_HIP_ERROR(dInfo.memcheck());
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int size_W;
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hipsolver_ormtr_unmtr_bufferSize(API,
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handle,
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side,
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uplo,
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trans,
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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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dIpiv.data(),
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dC.data(),
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ldc,
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&size_W);
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size_t bytes_W
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= std::getenv("HIPSOLVER_BUFFERSIZE_RETURN_BYTES") != nullptr ? size_W : sizeof(T) * size_W;
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device_strided_batch_vector<T> dWork(bytes_W, 1, bytes_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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ormtr_unmtr_checkBadArgs<API, COMPLEX>(handle,
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side,
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uplo,
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trans,
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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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dIpiv.data(),
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dC.data(),
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ldc,
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dWork.data(),
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size_W,
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dInfo.data());
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}
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template <bool CPU, bool GPU, typename T, typename Td, typename Th>
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void ormtr_unmtr_initData(const hipsolverHandle_t handle,
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const hipsolverSideMode_t side,
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const hipsolverFillMode_t uplo,
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const hipsolverOperation_t trans,
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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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Td& dIpiv,
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Td& dC,
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const int ldc,
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Th& hA,
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Th& hIpiv,
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Th& hC,
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std::vector<T>& hW,
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size_t size_W)
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{
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if(CPU)
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{
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using S = decltype(std::real(T{}));
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int nq = (side == HIPSOLVER_SIDE_LEFT) ? m : n;
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std::vector<S> E(nq - 1);
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std::vector<S> D(nq);
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rocblas_init<T>(hA, true);
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rocblas_init<T>(hIpiv, true);
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rocblas_init<T>(hC, true);
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// scale to avoid singularities
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for(int i = 0; i < nq; ++i)
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{
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for(int j = 0; j < nq; ++j)
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{
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if(i == j)
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hA[0][i + j * lda] += 400;
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else
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hA[0][i + j * lda] -= 4;
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}
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}
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// compute sytrd/hetrd
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cpu_sytrd_hetrd(uplo, nq, hA[0], lda, D.data(), E.data(), hIpiv[0], hW.data(), size_W);
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}
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if(GPU)
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{
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// copy data from CPU to device
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CHECK_HIP_ERROR(dA.transfer_from(hA));
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CHECK_HIP_ERROR(dIpiv.transfer_from(hIpiv));
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CHECK_HIP_ERROR(dC.transfer_from(hC));
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}
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}
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template <testAPI_t API, typename T, typename Td, typename Ud, typename Th, typename Uh>
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void ormtr_unmtr_getError(const hipsolverHandle_t handle,
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const hipsolverSideMode_t side,
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const hipsolverFillMode_t uplo,
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const hipsolverOperation_t trans,
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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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Td& dIpiv,
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Td& dC,
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const int ldc,
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Td& dWork,
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const int lwork,
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Ud& dInfo,
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Th& hA,
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Th& hIpiv,
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Th& hC,
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Th& hCRes,
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Uh& hInfo,
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Uh& hInfoRes,
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double* max_err)
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{
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size_t size_W = (side == HIPSOLVER_SIDE_LEFT ? m : n) * 32;
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std::vector<T> hW(size_W);
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// initialize data
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ormtr_unmtr_initData<true, true, T>(
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handle, side, uplo, trans, m, n, dA, lda, dIpiv, dC, ldc, hA, hIpiv, hC, hW, size_W);
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// execute computations
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// GPU lapack
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CHECK_ROCBLAS_ERROR(hipsolver_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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trans,
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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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dIpiv.data(),
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dC.data(),
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ldc,
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dWork.data(),
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lwork,
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dInfo.data()));
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CHECK_HIP_ERROR(hCRes.transfer_from(dC));
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CHECK_HIP_ERROR(hInfoRes.transfer_from(dInfo));
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// CPU lapack
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cpu_ormtr_unmtr(
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side, uplo, trans, m, n, hA[0], lda, hIpiv[0], hC[0], ldc, hW.data(), size_W, hInfo[0]);
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// error is ||hC - hCr|| / ||hC||
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// (THIS DOES NOT ACCOUNT FOR NUMERICAL REPRODUCIBILITY ISSUES.
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// IT MIGHT BE REVISITED IN THE FUTURE)
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// using frobenius norm
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*max_err = norm_error('F', m, n, ldc, hC[0], hCRes[0]);
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// check info
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EXPECT_EQ(hInfo[0][0], hInfoRes[0][0]);
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if(hInfo[0][0] != hInfoRes[0][0])
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*max_err += 1;
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}
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template <testAPI_t API, typename T, typename Td, typename Ud, typename Th, typename Uh>
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void ormtr_unmtr_getPerfData(const hipsolverHandle_t handle,
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const hipsolverSideMode_t side,
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const hipsolverFillMode_t uplo,
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const hipsolverOperation_t trans,
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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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Td& dIpiv,
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Td& dC,
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const int ldc,
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Td& dWork,
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const int lwork,
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Ud& dInfo,
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Th& hA,
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Th& hIpiv,
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Th& hC,
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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 int hot_calls,
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const bool perf)
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{
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size_t size_W = (side == HIPSOLVER_SIDE_LEFT ? m : n) * 32;
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std::vector<T> hW(size_W);
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if(!perf)
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{
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ormtr_unmtr_initData<true, false, T>(
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handle, side, uplo, trans, m, n, dA, lda, dIpiv, dC, ldc, hA, hIpiv, hC, hW, size_W);
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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_ormtr_unmtr(
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side, uplo, trans, m, n, hA[0], lda, hIpiv[0], hC[0], ldc, hW.data(), size_W, hInfo[0]);
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*cpu_time_used = get_time_us_no_sync() - *cpu_time_used;
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}
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ormtr_unmtr_initData<true, false, T>(
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handle, side, uplo, trans, m, n, dA, lda, dIpiv, dC, ldc, hA, hIpiv, hC, hW, size_W);
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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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ormtr_unmtr_initData<false, true, T>(
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handle, side, uplo, trans, m, n, dA, lda, dIpiv, dC, ldc, hA, hIpiv, hC, hW, size_W);
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CHECK_ROCBLAS_ERROR(hipsolver_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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trans,
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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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dIpiv.data(),
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dC.data(),
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ldc,
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dWork.data(),
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lwork,
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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(hipsolverGetStream(handle, &stream));
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double start;
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for(int iter = 0; iter < hot_calls; iter++)
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{
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ormtr_unmtr_initData<false, true, T>(
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handle, side, uplo, trans, m, n, dA, lda, dIpiv, dC, ldc, hA, hIpiv, hC, hW, size_W);
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start = get_time_us_sync(stream);
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hipsolver_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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trans,
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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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dIpiv.data(),
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dC.data(),
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ldc,
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dWork.data(),
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lwork,
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dInfo.data());
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*gpu_time_used += get_time_us_sync(stream) - start;
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}
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*gpu_time_used /= hot_calls;
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}
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template <testAPI_t API, typename T, bool COMPLEX = is_complex<T>>
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void testing_ormtr_unmtr(Arguments& argus)
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{
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// get arguments
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hipsolver_local_handle handle;
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char sideC = argus.get<char>("side");
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char uploC = argus.get<char>("uplo");
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char transC = argus.get<char>("trans");
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int m, n;
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if(sideC == 'L')
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{
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m = argus.get<int>("m");
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n = argus.get<int>("n", m);
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}
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else
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{
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n = argus.get<int>("n");
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m = argus.get<int>("m", n);
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}
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int nq = (sideC == 'L' ? m : n);
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int lda = argus.get<int>("lda", nq);
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int ldc = argus.get<int>("ldc", m);
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hipsolverSideMode_t side = char2hipsolver_side(sideC);
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hipsolverFillMode_t uplo = char2hipsolver_fill(uploC);
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hipsolverOperation_t trans = char2hipsolver_operation(transC);
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int hot_calls = argus.iters;
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// check non-supported values
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bool invalid_value
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= ((COMPLEX && trans == HIPSOLVER_OP_T) || (!COMPLEX && trans == HIPSOLVER_OP_C));
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if(invalid_value)
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{
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EXPECT_ROCBLAS_STATUS(hipsolver_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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trans,
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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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(T*)nullptr,
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(T*)nullptr,
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ldc,
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(T*)nullptr,
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0,
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(int*)nullptr),
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HIPSOLVER_STATUS_INVALID_VALUE);
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if(argus.timing)
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rocsolver_bench_inform(inform_invalid_args);
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return;
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}
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// determine sizes
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bool left = (side == HIPSOLVER_SIDE_LEFT);
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size_t size_P = size_t(nq);
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size_t size_C = size_t(ldc) * n;
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size_t size_A = size_t(lda) * nq;
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double max_error = 0, gpu_time_used = 0, cpu_time_used = 0;
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size_t size_CRes = (argus.unit_check || argus.norm_check) ? size_C : 0;
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// check invalid sizes
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bool invalid_size = (m < 0 || n < 0 || ldc < m || lda < nq);
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if(invalid_size)
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{
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EXPECT_ROCBLAS_STATUS(hipsolver_ormtr_unmtr(API,
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handle,
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side,
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uplo,
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trans,
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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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(T*)nullptr,
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(T*)nullptr,
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ldc,
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(T*)nullptr,
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0,
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(int*)nullptr),
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HIPSOLVER_STATUS_INVALID_VALUE);
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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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int size_W;
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hipsolver_ormtr_unmtr_bufferSize(API,
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handle,
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side,
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uplo,
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trans,
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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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(T*)nullptr,
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(T*)nullptr,
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ldc,
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&size_W);
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size_t bytes_W
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= std::getenv("HIPSOLVER_BUFFERSIZE_RETURN_BYTES") != nullptr ? size_W : sizeof(T) * size_W;
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if(argus.mem_query)
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{
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rocsolver_bench_inform(inform_mem_query, bytes_W);
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return;
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}
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// memory allocations
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host_strided_batch_vector<T> hC(size_C, 1, size_C, 1);
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host_strided_batch_vector<T> hCRes(size_CRes, 1, size_CRes, 1);
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host_strided_batch_vector<T> hIpiv(size_P, 1, size_P, 1);
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host_strided_batch_vector<T> hA(size_A, 1, size_A, 1);
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host_strided_batch_vector<int> hInfo(1, 1, 1, 1);
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host_strided_batch_vector<int> hInfoRes(1, 1, 1, 1);
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device_strided_batch_vector<T> dC(size_C, 1, size_C, 1);
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device_strided_batch_vector<T> dIpiv(size_P, 1, size_P, 1);
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device_strided_batch_vector<T> dA(size_A, 1, size_A, 1);
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device_strided_batch_vector<int> dInfo(1, 1, 1, 1);
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device_strided_batch_vector<T> dWork(bytes_W, 1, bytes_W, 1);
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if(size_A)
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CHECK_HIP_ERROR(dA.memcheck());
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if(size_P)
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CHECK_HIP_ERROR(dIpiv.memcheck());
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if(size_C)
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CHECK_HIP_ERROR(dC.memcheck());
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CHECK_HIP_ERROR(dInfo.memcheck());
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if(size_W)
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CHECK_HIP_ERROR(dWork.memcheck());
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// check computations
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if(argus.unit_check || argus.norm_check)
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ormtr_unmtr_getError<API, T>(handle,
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side,
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uplo,
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trans,
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m,
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n,
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dA,
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lda,
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dIpiv,
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dC,
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ldc,
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dWork,
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size_W,
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dInfo,
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hA,
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hIpiv,
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hC,
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hCRes,
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hInfo,
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hInfoRes,
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&max_error);
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// collect performance data
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if(argus.timing)
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ormtr_unmtr_getPerfData<API, T>(handle,
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side,
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uplo,
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trans,
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m,
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n,
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dA,
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lda,
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dIpiv,
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dC,
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ldc,
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dWork,
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size_W,
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dInfo,
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hA,
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hIpiv,
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hC,
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hInfo,
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&gpu_time_used,
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&cpu_time_used,
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hot_calls,
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argus.perf);
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// validate results for rocsolver-test
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// using s * machine_precision as tolerance
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int s = left ? m : n;
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if(argus.unit_check)
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ROCSOLVER_TEST_CHECK(T, max_error, s);
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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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std::cerr << "\n============================================\n";
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std::cerr << "Arguments:\n";
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std::cerr << "============================================\n";
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rocsolver_bench_output("side", "uplo", "trans", "m", "n", "lda", "ldc");
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rocsolver_bench_output(sideC, uploC, transC, m, n, lda, ldc);
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std::cerr << "\n============================================\n";
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std::cerr << "Results:\n";
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std::cerr << "============================================\n";
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if(argus.norm_check)
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{
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rocsolver_bench_output("cpu_time", "gpu_time", "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", "gpu_time");
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rocsolver_bench_output(cpu_time_used, gpu_time_used);
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}
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std::cerr << std::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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