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681 lines
30 KiB
C++
681 lines
30 KiB
C++
/* **************************************************************************
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* Copyright (C) 2020-2025 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
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* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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* OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
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* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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* SUCH DAMAGE.
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* *************************************************************************/
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#pragma once
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#include "common/misc/clientcommon.hpp"
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#include "common/misc/lapack_host_reference.hpp"
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#include "common/misc/norm.hpp"
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#include "common/misc/rocsolver.hpp"
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#include "common/misc/rocsolver_arguments.hpp"
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#include "common/misc/rocsolver_test.hpp"
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#include "common/misc/rocsolver_timer.hpp"
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template <bool BATCHED, bool STRIDED, typename U>
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void gels_outofplace_checkBadArgs(const rocblas_handle handle,
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const rocblas_operation trans,
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const rocblas_int m,
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const rocblas_int n,
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const rocblas_int nrhs,
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U dA,
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const rocblas_int lda,
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const rocblas_stride stA,
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U dB,
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const rocblas_int ldb,
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const rocblas_stride stB,
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U dX,
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const rocblas_int ldx,
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const rocblas_stride stX,
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rocblas_int* info,
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const rocblas_int bc)
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{
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// handle
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, nullptr, trans, m, n, nrhs, dA, lda,
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stA, dB, ldb, stB, dX, ldx, stX, info, bc),
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rocblas_status_invalid_handle);
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// values
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, rocblas_operation(0), m, n,
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nrhs, dA, lda, stA, dB, ldb, stB, dX, ldx, stX,
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info, bc),
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rocblas_status_invalid_value);
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// sizes (only check batch_count if applicable)
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if(STRIDED)
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, dA, lda,
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stA, dB, ldb, stB, dX, ldx, stX, info, -1),
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rocblas_status_invalid_size);
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// pointers
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, (U) nullptr,
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lda, stA, dB, ldb, stB, dX, ldx, stX, info, bc),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, dA, lda, stA,
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(U) nullptr, ldb, stB, dX, ldx, stX, info, bc),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, dA, lda, stA,
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dB, ldb, stB, (U) nullptr, ldx, stX, info, bc),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, dA, lda,
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stA, dB, ldb, stB, dX, ldx, stX, nullptr, bc),
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rocblas_status_invalid_pointer);
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// quick return with invalid pointers
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, rocblas_operation_none, 0, n,
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nrhs, (U) nullptr, lda, stA, (U) nullptr, ldb,
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stB, dX, ldx, stX, info, bc),
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rocblas_status_success);
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, 0, n, nrhs, (U) nullptr,
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lda, stA, dB, ldb, stB, (U) nullptr, ldx, stX,
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info, bc),
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rocblas_status_success);
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, rocblas_operation_none, m, 0,
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nrhs, (U) nullptr, lda, stA, dB, ldb, stB,
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(U) nullptr, ldx, stX, info, bc),
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rocblas_status_success);
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, 0, nrhs, (U) nullptr,
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lda, stA, (U) nullptr, ldb, stB, dX, ldx, stX,
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info, bc),
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rocblas_status_success);
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, 0, dA, lda, stA,
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(U) nullptr, ldb, stB, (U) nullptr, ldx, stX,
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info, bc),
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rocblas_status_success);
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, 0, 0, nrhs, (U) nullptr,
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lda, stA, (U) nullptr, ldb, stB, (U) nullptr,
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ldx, stX, info, bc),
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rocblas_status_success);
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if(BATCHED)
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, dA, lda,
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stA, dB, ldb, stB, dX, ldx, stX, nullptr, 0),
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rocblas_status_success);
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// quick return with zero batch_count if applicable
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if(STRIDED)
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EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, dA, lda,
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stA, dB, ldb, stB, dX, ldx, stX, info, 0),
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rocblas_status_success);
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}
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template <bool BATCHED, bool STRIDED, typename T>
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void testing_gels_outofplace_bad_arg()
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{
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// safe arguments
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rocblas_local_handle handle;
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rocblas_int m = 1;
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rocblas_int n = 1;
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rocblas_int nrhs = 1;
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rocblas_int lda = 1;
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rocblas_int ldb = 1;
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rocblas_int ldx = 1;
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rocblas_stride stA = 1;
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rocblas_stride stB = 1;
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rocblas_stride stX = 1;
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rocblas_int bc = 1;
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rocblas_operation trans = (!rocblas_is_complex<T> ? rocblas_operation_transpose
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: rocblas_operation_conjugate_transpose);
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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_batch_vector<T> dB(1, 1, 1);
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device_batch_vector<T> dX(1, 1, 1);
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device_strided_batch_vector<rocblas_int> dInfo(1, 1, 1, 1);
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CHECK_HIP_ERROR(dA.memcheck());
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CHECK_HIP_ERROR(dB.memcheck());
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CHECK_HIP_ERROR(dX.memcheck());
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CHECK_HIP_ERROR(dInfo.memcheck());
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// check bad arguments
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gels_outofplace_checkBadArgs<BATCHED, STRIDED>(handle, trans, m, n, nrhs, dA.data(), lda,
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stA, dB.data(), ldb, stB, dX.data(), ldx,
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stX, dInfo.data(), 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<T> dB(1, 1, 1, 1);
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device_strided_batch_vector<T> dX(1, 1, 1, 1);
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device_strided_batch_vector<rocblas_int> dInfo(1, 1, 1, 1);
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CHECK_HIP_ERROR(dA.memcheck());
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CHECK_HIP_ERROR(dB.memcheck());
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CHECK_HIP_ERROR(dX.memcheck());
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CHECK_HIP_ERROR(dInfo.memcheck());
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// check bad arguments
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gels_outofplace_checkBadArgs<BATCHED, STRIDED>(handle, trans, m, n, nrhs, dA.data(), lda,
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stA, dB.data(), ldb, stB, dX.data(), ldx,
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stX, dInfo.data(), bc);
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}
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}
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template <bool CPU, bool GPU, typename T, typename Td, typename Ud, typename Th, typename Uh>
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void gels_outofplace_initData(const rocblas_handle handle,
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const rocblas_operation trans,
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const rocblas_int m,
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const rocblas_int n,
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const rocblas_int nrhs,
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Td& dA,
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const rocblas_int lda,
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const rocblas_stride stA,
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Td& dB,
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const rocblas_int ldb,
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const rocblas_stride stB,
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Ud& dInfo,
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const rocblas_int bc,
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Th& hA,
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Th& hB,
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Th& hX,
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Uh& hInfo,
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const bool singular)
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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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rocblas_init<T>(hB, true);
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const rocblas_int max_index = std::max(0, std::min(m, n) - 1);
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std::uniform_int_distribution<int> sample_index(0, max_index);
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std::bernoulli_distribution coinflip(0.5);
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const rocblas_int rowsB = (trans == rocblas_operation_none) ? m : n;
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const rocblas_int ldx = std::max(m, n);
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for(rocblas_int b = 0; b < bc; ++b)
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{
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// scale A to avoid singularities
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for(rocblas_int i = 0; i < m; i++)
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{
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for(rocblas_int j = 0; j < n; j++)
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{
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if(i == j)
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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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// populate hX with values from hB
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for(rocblas_int i = 0; i < rowsB; i++)
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for(rocblas_int j = 0; j < nrhs; j++)
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hX[b][i + j * ldx] = hB[b][i + j * ldb];
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// add some singularities
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// always the same elements for debugging purposes
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if(singular && (b == bc / 4 || b == bc / 2 || b == bc - 1))
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{
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do
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{
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if(n <= m)
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{
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// zero random col
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rocblas_int j = sample_index(rocblas_rng);
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for(rocblas_int i = 0; i < m; i++)
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hA[b][i + j * lda] = 0;
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}
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else
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{
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// zero random row
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rocblas_int i = sample_index(rocblas_rng);
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for(rocblas_int j = 0; j < n; j++)
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hA[b][i + j * lda] = 0;
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}
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} while(coinflip(rocblas_rng));
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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 pivoting indices and matrices to the GPU
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CHECK_HIP_ERROR(dA.transfer_from(hA));
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CHECK_HIP_ERROR(dB.transfer_from(hB));
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}
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}
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template <bool STRIDED, typename T, typename Td, typename Ud, typename Th, typename Uh>
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void gels_outofplace_getError(const rocblas_handle handle,
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const rocblas_operation trans,
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const rocblas_int m,
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const rocblas_int n,
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const rocblas_int nrhs,
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Td& dA,
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const rocblas_int lda,
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const rocblas_stride stA,
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Td& dB,
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const rocblas_int ldb,
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const rocblas_stride stB,
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Td& dX,
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const rocblas_int ldx,
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const rocblas_stride stX,
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Ud& dInfo,
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const rocblas_int bc,
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Th& hA,
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Th& hB,
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Th& hBRes,
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Th& hX,
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Th& hXRes,
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Uh& hInfo,
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Uh& hInfoRes,
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double* max_err,
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const bool singular)
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{
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rocblas_int sizeW = std::max(1, std::min(m, n) + std::max(std::min(m, n), nrhs));
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std::vector<T> hW(sizeW);
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// input data initialization
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gels_outofplace_initData<true, true, T>(handle, trans, m, n, nrhs, dA, lda, stA, dB, ldb, stB,
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dInfo, bc, hA, hB, hX, hInfo, singular);
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// execute computations
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// GPU lapack
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CHECK_ROCBLAS_ERROR(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, dA.data(),
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lda, stA, dB.data(), ldb, stB, dX.data(), ldx,
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stX, dInfo.data(), bc));
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CHECK_HIP_ERROR(hBRes.transfer_from(dB));
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CHECK_HIP_ERROR(hXRes.transfer_from(dX));
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CHECK_HIP_ERROR(hInfoRes.transfer_from(dInfo));
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// CPU lapack
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for(rocblas_int b = 0; b < bc; ++b)
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{
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cpu_gels(trans, m, n, nrhs, hA[b], lda, hX[b], std::max(m, n), hW.data(), sizeW, hInfo[b]);
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}
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// error is ||hX - hXRes|| / ||hX||
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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 vector-induced infinity norm
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double err;
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*max_err = 0;
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for(rocblas_int b = 0; b < bc; ++b)
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{
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const rocblas_int rowsB = (trans == rocblas_operation_none) ? m : n;
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err = norm_error('F', rowsB, nrhs, ldb, hB[b], hBRes[b]);
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*max_err = err > *max_err ? err : *max_err;
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if(hInfo[b][0] == 0)
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{
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const rocblas_int rowsX = (trans == rocblas_operation_none) ? n : m;
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err = norm_error('I', rowsX, nrhs, std::max(m, n), hX[b], hXRes[b], ldx);
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*max_err = err > *max_err ? err : *max_err;
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}
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}
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// also check info for singularities
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err = 0;
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for(rocblas_int b = 0; b < bc; ++b)
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{
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EXPECT_EQ(hInfo[b][0], hInfoRes[b][0]) << "where b = " << b;
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if(hInfo[b][0] != hInfoRes[b][0])
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err++;
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}
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*max_err += err;
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}
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template <bool STRIDED, typename T, typename Td, typename Ud, typename Th, typename Uh>
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void gels_outofplace_getPerfData(const rocblas_handle handle,
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const rocblas_operation trans,
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const rocblas_int m,
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const rocblas_int n,
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const rocblas_int nrhs,
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Td& dA,
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const rocblas_int lda,
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const rocblas_stride stA,
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Td& dB,
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const rocblas_int ldb,
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const rocblas_stride stB,
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Td& dX,
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const rocblas_int ldx,
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const rocblas_stride stX,
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Ud& dInfo,
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const rocblas_int bc,
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Th& hA,
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Th& hB,
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Th& hX,
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Uh& hInfo,
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double* gpu_time_used,
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double* cpu_time_used,
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const rocblas_int hot_calls,
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const int profile,
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const bool profile_kernels,
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const bool perf,
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const bool singular)
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{
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rocblas_int sizeW = std::max(1, std::min(m, n) + std::max(std::min(m, n), nrhs));
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std::vector<T> hW(sizeW);
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if(!perf)
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{
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gels_outofplace_initData<true, false, T>(handle, trans, m, n, nrhs, dA, lda, stA, dB, ldb,
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stB, dInfo, bc, hA, hB, hX, hInfo, singular);
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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();
|
|
for(rocblas_int b = 0; b < bc; ++b)
|
|
{
|
|
cpu_gels(trans, m, n, nrhs, hA[b], lda, hX[b], std::max(m, n), hW.data(), sizeW,
|
|
hInfo[b]);
|
|
}
|
|
*cpu_time_used = get_time_us_no_sync() - *cpu_time_used;
|
|
}
|
|
|
|
gels_outofplace_initData<true, false, T>(handle, trans, m, n, nrhs, dA, lda, stA, dB, ldb, stB,
|
|
dInfo, bc, hA, hB, hX, hInfo, singular);
|
|
|
|
// cold calls
|
|
for(int iter = 0; iter < 2; iter++)
|
|
{
|
|
gels_outofplace_initData<false, true, T>(handle, trans, m, n, nrhs, dA, lda, stA, dB, ldb,
|
|
stB, dInfo, bc, hA, hB, hX, hInfo, singular);
|
|
|
|
CHECK_ROCBLAS_ERROR(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, dA.data(),
|
|
lda, stA, dB.data(), ldb, stB, dX.data(), ldx,
|
|
stX, dInfo.data(), bc));
|
|
}
|
|
|
|
// gpu-lapack performance
|
|
hipStream_t stream;
|
|
CHECK_ROCBLAS_ERROR(rocblas_get_stream(handle, &stream));
|
|
rocsolver_timer timer;
|
|
|
|
if(profile > 0)
|
|
{
|
|
if(profile_kernels)
|
|
rocsolver_log_set_layer_mode(rocblas_layer_mode_log_profile
|
|
| rocblas_layer_mode_ex_log_kernel);
|
|
else
|
|
rocsolver_log_set_layer_mode(rocblas_layer_mode_log_profile);
|
|
rocsolver_log_set_max_levels(profile);
|
|
}
|
|
|
|
for(rocblas_int iter = 0; iter < hot_calls; iter++)
|
|
{
|
|
gels_outofplace_initData<false, true, T>(handle, trans, m, n, nrhs, dA, lda, stA, dB, ldb,
|
|
stB, dInfo, bc, hA, hB, hX, hInfo, singular);
|
|
|
|
timer.start(stream);
|
|
rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, dA.data(), lda, stA,
|
|
dB.data(), ldb, stB, dX.data(), ldx, stX, dInfo.data(), bc);
|
|
timer.end(stream);
|
|
}
|
|
*gpu_time_used = timer.get_combined();
|
|
}
|
|
|
|
template <bool BATCHED, bool STRIDED, typename T, bool COMPLEX = rocblas_is_complex<T>>
|
|
void testing_gels_outofplace(Arguments& argus)
|
|
{
|
|
// get arguments
|
|
rocblas_local_handle handle;
|
|
char transC = argus.get<char>("trans");
|
|
rocblas_int m = argus.get<rocblas_int>("m");
|
|
rocblas_int n = argus.get<rocblas_int>("n", m);
|
|
rocblas_int nrhs = argus.get<rocblas_int>("nrhs", n);
|
|
rocblas_int lda = argus.get<rocblas_int>("lda", m);
|
|
rocblas_int ldb = argus.get<rocblas_int>("ldb", transC == 'N' ? m : n);
|
|
rocblas_int ldx = argus.get<rocblas_int>("ldx", transC == 'N' ? n : m);
|
|
rocblas_stride stA = argus.get<rocblas_stride>("strideA", lda * n);
|
|
rocblas_stride stB = argus.get<rocblas_stride>("strideB", ldb * nrhs);
|
|
rocblas_stride stX = argus.get<rocblas_stride>("strideX", ldx * nrhs);
|
|
|
|
rocblas_operation trans = char2rocblas_operation(transC);
|
|
rocblas_int bc = argus.batch_count;
|
|
rocblas_int hot_calls = argus.iters;
|
|
|
|
rocblas_stride stBRes = (argus.unit_check || argus.norm_check) ? stB : 0;
|
|
rocblas_stride stXRes = (argus.unit_check || argus.norm_check) ? stX : 0;
|
|
|
|
// check non-supported values
|
|
bool invalid_value = ((COMPLEX && trans == rocblas_operation_transpose)
|
|
|| (!COMPLEX && trans == rocblas_operation_conjugate_transpose));
|
|
if(invalid_value)
|
|
{
|
|
if(BATCHED)
|
|
EXPECT_ROCBLAS_STATUS(
|
|
rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, (T* const*)nullptr,
|
|
lda, stA, (T* const*)nullptr, ldb, stB,
|
|
(T* const*)nullptr, ldx, stX, (rocblas_int*)nullptr, bc),
|
|
rocblas_status_invalid_value);
|
|
else
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs,
|
|
(T*)nullptr, lda, stA, (T*)nullptr, ldb,
|
|
stB, (T*)nullptr, ldx, stX,
|
|
(rocblas_int*)nullptr, bc),
|
|
rocblas_status_invalid_value);
|
|
|
|
if(argus.timing)
|
|
rocsolver_bench_inform(inform_invalid_args);
|
|
|
|
return;
|
|
}
|
|
|
|
// determine sizes
|
|
size_t size_A = size_t(lda) * n;
|
|
size_t size_B = size_t(ldb) * nrhs;
|
|
size_t size_X = size_t(ldx) * nrhs;
|
|
double max_error = 0, gpu_time_used = 0, cpu_time_used = 0;
|
|
|
|
size_t size_BRes = (argus.unit_check || argus.norm_check) ? size_B : 0;
|
|
size_t size_XRes = (argus.unit_check || argus.norm_check) ? size_X : 0;
|
|
|
|
// check invalid sizes
|
|
bool invalid_size = (m < 0 || n < 0 || nrhs < 0 || lda < m
|
|
|| (trans == rocblas_operation_none && (ldb < m || ldx < n))
|
|
|| (trans != rocblas_operation_none && (ldb < n || ldx < m)) || bc < 0);
|
|
if(invalid_size)
|
|
{
|
|
if(BATCHED)
|
|
EXPECT_ROCBLAS_STATUS(
|
|
rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs, (T* const*)nullptr,
|
|
lda, stA, (T* const*)nullptr, ldb, stB,
|
|
(T* const*)nullptr, ldx, stX, (rocblas_int*)nullptr, bc),
|
|
rocblas_status_invalid_size);
|
|
else
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs,
|
|
(T*)nullptr, lda, stA, (T*)nullptr, ldb,
|
|
stB, (T*)nullptr, ldx, stX,
|
|
(rocblas_int*)nullptr, bc),
|
|
rocblas_status_invalid_size);
|
|
|
|
if(argus.timing)
|
|
rocsolver_bench_inform(inform_invalid_size);
|
|
|
|
return;
|
|
}
|
|
|
|
// memory size query is necessary
|
|
if(argus.mem_query)
|
|
{
|
|
CHECK_ROCBLAS_ERROR(rocblas_start_device_memory_size_query(handle));
|
|
if(BATCHED)
|
|
CHECK_ALLOC_QUERY(rocsolver_gels_outofplace(
|
|
STRIDED, handle, trans, m, n, nrhs, (T* const*)nullptr, lda, stA, (T* const*)nullptr,
|
|
ldb, stB, (T* const*)nullptr, ldx, stX, (rocblas_int*)nullptr, bc));
|
|
else
|
|
CHECK_ALLOC_QUERY(rocsolver_gels_outofplace(
|
|
STRIDED, handle, trans, m, n, nrhs, (T*)nullptr, lda, stA, (T*)nullptr, ldb, stB,
|
|
(T*)nullptr, ldx, stX, (rocblas_int*)nullptr, bc));
|
|
|
|
size_t size;
|
|
CHECK_ROCBLAS_ERROR(rocblas_stop_device_memory_size_query(handle, &size));
|
|
|
|
rocsolver_bench_inform(inform_mem_query, size);
|
|
return;
|
|
}
|
|
|
|
if(BATCHED)
|
|
{
|
|
// memory allocations
|
|
host_batch_vector<T> hA(size_A, 1, bc);
|
|
host_batch_vector<T> hB(size_B, 1, bc);
|
|
host_batch_vector<T> hBRes(size_BRes, 1, bc);
|
|
host_batch_vector<T> hX(std::max(m, n) * nrhs, 1, bc);
|
|
host_batch_vector<T> hXRes(size_XRes, 1, bc);
|
|
host_strided_batch_vector<rocblas_int> hInfo(1, 1, 1, bc);
|
|
host_strided_batch_vector<rocblas_int> hInfoRes(1, 1, 1, bc);
|
|
device_batch_vector<T> dA(size_A, 1, bc);
|
|
device_batch_vector<T> dB(size_B, 1, bc);
|
|
device_batch_vector<T> dX(size_X, 1, bc);
|
|
device_strided_batch_vector<rocblas_int> dInfo(1, 1, 1, bc);
|
|
if(size_A)
|
|
CHECK_HIP_ERROR(dA.memcheck());
|
|
if(size_B)
|
|
CHECK_HIP_ERROR(dB.memcheck());
|
|
if(size_X)
|
|
CHECK_HIP_ERROR(dX.memcheck());
|
|
if(bc)
|
|
CHECK_HIP_ERROR(dInfo.memcheck());
|
|
|
|
// check quick return
|
|
if(m == 0 || n == 0 || nrhs == 0 || bc == 0)
|
|
{
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs,
|
|
dA.data(), lda, stA, dB.data(), ldb, stB,
|
|
dX.data(), ldx, stX, dInfo.data(), bc),
|
|
rocblas_status_success);
|
|
if(argus.timing)
|
|
rocsolver_bench_inform(inform_quick_return);
|
|
|
|
return;
|
|
}
|
|
|
|
// check computations
|
|
if(argus.unit_check || argus.norm_check)
|
|
gels_outofplace_getError<STRIDED, T>(handle, trans, m, n, nrhs, dA, lda, stA, dB, ldb,
|
|
stB, dX, ldx, stX, dInfo, bc, hA, hB, hBRes, hX,
|
|
hXRes, hInfo, hInfoRes, &max_error, argus.singular);
|
|
|
|
// collect performance data
|
|
if(argus.timing && hot_calls > 0)
|
|
gels_outofplace_getPerfData<STRIDED, T>(
|
|
handle, trans, m, n, nrhs, dA, lda, stA, dB, ldb, stB, dX, ldx, stX, dInfo, bc, hA,
|
|
hB, hX, hInfo, &gpu_time_used, &cpu_time_used, hot_calls, argus.profile,
|
|
argus.profile_kernels, argus.perf, argus.singular);
|
|
}
|
|
else
|
|
{
|
|
// memory allocations
|
|
host_strided_batch_vector<T> hA(size_A, 1, stA, bc);
|
|
host_strided_batch_vector<T> hB(size_B, 1, stB, bc);
|
|
host_strided_batch_vector<T> hBRes(size_BRes, 1, stBRes, bc);
|
|
host_strided_batch_vector<T> hX(std::max(m, n) * nrhs, 1, std::max(m, n) * nrhs, bc);
|
|
host_strided_batch_vector<T> hXRes(size_XRes, 1, stXRes, bc);
|
|
host_strided_batch_vector<rocblas_int> hInfo(1, 1, 1, bc);
|
|
host_strided_batch_vector<rocblas_int> hInfoRes(1, 1, 1, bc);
|
|
device_strided_batch_vector<T> dA(size_A, 1, stA, bc);
|
|
device_strided_batch_vector<T> dB(size_B, 1, stB, bc);
|
|
device_strided_batch_vector<T> dX(size_X, 1, stX, bc);
|
|
device_strided_batch_vector<rocblas_int> dInfo(1, 1, 1, bc);
|
|
if(size_A)
|
|
CHECK_HIP_ERROR(dA.memcheck());
|
|
if(size_B)
|
|
CHECK_HIP_ERROR(dB.memcheck());
|
|
if(size_X)
|
|
CHECK_HIP_ERROR(dX.memcheck());
|
|
if(bc)
|
|
CHECK_HIP_ERROR(dInfo.memcheck());
|
|
|
|
// check quick return
|
|
if(m == 0 || n == 0 || nrhs == 0 || bc == 0)
|
|
{
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_gels_outofplace(STRIDED, handle, trans, m, n, nrhs,
|
|
dA.data(), lda, stA, dB.data(), ldb, stB,
|
|
dX.data(), ldx, stX, dInfo.data(), bc),
|
|
rocblas_status_success);
|
|
if(argus.timing)
|
|
rocsolver_bench_inform(inform_quick_return);
|
|
|
|
return;
|
|
}
|
|
|
|
// check computations
|
|
if(argus.unit_check || argus.norm_check)
|
|
gels_outofplace_getError<STRIDED, T>(handle, trans, m, n, nrhs, dA, lda, stA, dB, ldb,
|
|
stB, dX, ldx, stX, dInfo, bc, hA, hB, hBRes, hX,
|
|
hXRes, hInfo, hInfoRes, &max_error, argus.singular);
|
|
|
|
// collect performance data
|
|
if(argus.timing && hot_calls > 0)
|
|
gels_outofplace_getPerfData<STRIDED, T>(
|
|
handle, trans, m, n, nrhs, dA, lda, stA, dB, ldb, stB, dX, ldx, stX, dInfo, bc, hA,
|
|
hB, hX, hInfo, &gpu_time_used, &cpu_time_used, hot_calls, argus.profile,
|
|
argus.profile_kernels, argus.perf, argus.singular);
|
|
}
|
|
// validate results for rocsolver-test
|
|
// using max(m,n) * machine_precision as tolerance
|
|
if(argus.unit_check)
|
|
ROCSOLVER_TEST_CHECK(T, max_error, std::max(m, n));
|
|
|
|
// output results for rocsolver-bench
|
|
if(argus.timing)
|
|
{
|
|
if(!argus.perf)
|
|
{
|
|
rocsolver_bench_header("Arguments:");
|
|
if(BATCHED)
|
|
{
|
|
rocsolver_bench_output("trans", "m", "n", "nrhs", "lda", "ldb", "ldx", "batch_c");
|
|
rocsolver_bench_output(transC, m, n, nrhs, lda, ldb, ldx, bc);
|
|
}
|
|
else if(STRIDED)
|
|
{
|
|
rocsolver_bench_output("trans", "m", "n", "nrhs", "lda", "ldb", "ldx", "strideA",
|
|
"strideB", "strideX", "batch_c");
|
|
rocsolver_bench_output(transC, m, n, nrhs, lda, ldb, ldx, stA, stB, stX, bc);
|
|
}
|
|
else
|
|
{
|
|
rocsolver_bench_output("trans", "m", "n", "nrhs", "lda", "ldb", "ldx");
|
|
rocsolver_bench_output(transC, m, n, nrhs, lda, ldb, ldx);
|
|
}
|
|
rocsolver_bench_header("Results:");
|
|
if(argus.norm_check)
|
|
{
|
|
rocsolver_bench_output("cpu_time_us", "gpu_time_us", "error");
|
|
rocsolver_bench_output(cpu_time_used, gpu_time_used, max_error);
|
|
}
|
|
else
|
|
{
|
|
rocsolver_bench_output("cpu_time_us", "gpu_time_us");
|
|
rocsolver_bench_output(cpu_time_used, gpu_time_used);
|
|
}
|
|
rocsolver_bench_endl();
|
|
}
|
|
else
|
|
{
|
|
if(argus.norm_check)
|
|
rocsolver_bench_output(gpu_time_used, max_error);
|
|
else
|
|
rocsolver_bench_output(gpu_time_used);
|
|
}
|
|
}
|
|
|
|
// ensure all arguments were consumed
|
|
argus.validate_consumed();
|
|
}
|