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592 lines
24 KiB
C++
592 lines
24 KiB
C++
/* **************************************************************************
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* Copyright (C) 2021-2025 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
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* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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* OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
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* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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* SUCH DAMAGE.
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* *************************************************************************/
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#pragma once
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#include "common/misc/client_util.hpp"
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#include "common/misc/clientcommon.hpp"
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#include "common/misc/lapack_host_reference.hpp"
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#include "common/misc/norm.hpp"
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#include "common/misc/rocsolver.hpp"
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#include "common/misc/rocsolver_arguments.hpp"
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#include "common/misc/rocsolver_test.hpp"
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#include "common/misc/rocsolver_timer.hpp"
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template <bool STRIDED, bool SYGST, typename T>
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void sygsx_hegsx_checkBadArgs(const rocblas_handle handle,
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const rocblas_eform itype,
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const rocblas_fill uplo,
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const rocblas_int n,
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T dA,
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const rocblas_int lda,
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const rocblas_stride stA,
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T dB,
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const rocblas_int ldb,
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const rocblas_stride stB,
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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_sygsx_hegsx(STRIDED, SYGST, nullptr, itype, uplo, n, dA, lda,
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stA, dB, ldb, stB, bc),
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rocblas_status_invalid_handle);
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// values
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EXPECT_ROCBLAS_STATUS(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, rocblas_eform(0), uplo, n,
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dA, lda, stA, dB, ldb, stB, bc),
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rocblas_status_invalid_value);
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EXPECT_ROCBLAS_STATUS(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, rocblas_fill_full, n,
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dA, lda, stA, dB, ldb, stB, 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_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n, dA, lda,
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stA, dB, ldb, stB, -1),
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rocblas_status_invalid_size);
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// pointers
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EXPECT_ROCBLAS_STATUS(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n, (T) nullptr,
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lda, stA, dB, ldb, stB, bc),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n, dA, lda,
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stA, (T) nullptr, ldb, stB, 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_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, 0, (T) nullptr,
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lda, stA, dB, ldb, stB, bc),
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rocblas_status_success);
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EXPECT_ROCBLAS_STATUS(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, 0, dA, lda,
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stA, (T) nullptr, ldb, stB, bc),
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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_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n, dA, lda,
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stA, dB, ldb, stB, 0),
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rocblas_status_success);
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}
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template <bool BATCHED, bool STRIDED, bool SYGST, typename T>
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void testing_sygsx_hegsx_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_eform itype = rocblas_eform_ax;
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rocblas_fill uplo = rocblas_fill_upper;
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rocblas_int n = 1;
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rocblas_int lda = 1;
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rocblas_stride stA = 1;
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rocblas_int ldb = 1;
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rocblas_stride stB = 1;
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rocblas_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_batch_vector<T> dB(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 bad arguments
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sygsx_hegsx_checkBadArgs<STRIDED, SYGST>(handle, itype, uplo, n, dA.data(), lda, stA,
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dB.data(), ldb, stB, 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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CHECK_HIP_ERROR(dA.memcheck());
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CHECK_HIP_ERROR(dB.memcheck());
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// check bad arguments
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sygsx_hegsx_checkBadArgs<STRIDED, SYGST>(handle, itype, uplo, n, dA.data(), lda, stA,
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dB.data(), ldb, stB, bc);
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}
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}
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template <bool CPU, bool GPU, typename T, typename Td, typename Th>
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void sygsx_hegsx_initData(const rocblas_handle handle,
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const rocblas_eform itype,
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const rocblas_fill uplo,
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const rocblas_int n,
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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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const rocblas_int bc,
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Th& hA,
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Th& hB,
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host_strided_batch_vector<T>& M,
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const bool test)
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{
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if(CPU)
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{
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rocblas_int info;
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const rocblas_int ldu = n;
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host_strided_batch_vector<T> U(n * n, 1, n * n, bc);
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rocblas_init<T>(hA, true);
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rocblas_init<T>(U, true);
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for(rocblas_int b = 0; b < bc; ++b)
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{
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// for testing purposes, we start with the reduced matrix M of the standard equivalent problem.
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// Then we construct the generalized pair (A, B) from there
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for(rocblas_int i = 0; i < n; i++)
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{
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// scale matrices and set hA = M (symmetric/hermitian), hB = U (upper triangular) or hB = U'
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for(rocblas_int j = i; j < n; j++)
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{
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if(i == j)
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{
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hA[b][i + j * lda] = std::real(hA[b][i + j * lda]) + 100;
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U[b][i + j * ldu] = std::real(U[b][i + j * ldu]) / 100 + 1;
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hB[b][i + j * ldb] = U[b][i + j * ldu];
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}
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else
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{
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hA[b][i + j * lda] = (hA[b][i + j * lda] - 5) / 10;
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hA[b][j + i * lda] = sconj(hA[b][i + j * lda]);
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U[b][i + j * ldu] = (U[b][i + j * ldu] - 5) / 100;
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if(uplo == rocblas_fill_upper)
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{
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hB[b][i + j * ldb] = U[b][i + j * ldu];
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hB[b][j + i * ldb] = 0;
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}
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else
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{
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hB[b][j + i * ldb] = sconj(U[b][i + j * ldu]);
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hB[b][i + j * ldb] = 0;
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}
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}
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}
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}
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// store M = hA for implicit testing
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if(test)
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{
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for(rocblas_int i = 0; i < n; i++)
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for(rocblas_int j = 0; j < n; j++)
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M[b][i + j * lda] = hA[b][i + j * lda];
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}
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T one = T(1);
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if(itype == rocblas_eform_ax)
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{
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// form A = U' M U
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cpu_trmm(rocblas_side_left, rocblas_fill_upper, rocblas_operation_conjugate_transpose,
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rocblas_diagonal_non_unit, n, n, one, U[b], ldu, hA[b], lda);
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cpu_trmm(rocblas_side_right, rocblas_fill_upper, rocblas_operation_none,
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rocblas_diagonal_non_unit, n, n, one, U[b], ldu, hA[b], lda);
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}
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else
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{
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// form A = inv(U) M inv(U')
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cpu_trsm(rocblas_side_left, rocblas_fill_upper, rocblas_operation_none,
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rocblas_diagonal_non_unit, n, n, one, U[b], ldu, hA[b], lda);
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cpu_trsm(rocblas_side_right, rocblas_fill_upper,
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rocblas_operation_conjugate_transpose, rocblas_diagonal_non_unit, n, n,
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one, U[b], ldu, hA[b], lda);
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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 data 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, bool SYGST, typename T, typename Td, typename Th>
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void sygsx_hegsx_getError(const rocblas_handle handle,
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const rocblas_eform itype,
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const rocblas_fill uplo,
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const rocblas_int n,
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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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const rocblas_int bc,
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Th& hA,
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Th& hARes,
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Th& hB,
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double* max_err)
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{
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constexpr bool VERIFY_IMPLICIT_TEST = false;
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host_strided_batch_vector<T> M(lda * n, 1, lda * n, bc);
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// input data initialization
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sygsx_hegsx_initData<true, true, T>(handle, itype, uplo, n, dA, lda, stA, dB, ldb, stB, bc, hA,
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hB, M, true);
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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(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n, dA.data(),
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lda, stA, dB.data(), ldb, stB, bc));
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CHECK_HIP_ERROR(hARes.transfer_from(dA));
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}
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else
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{
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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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memcpy(hARes[b], hA[b], lda * n * sizeof(T));
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SYGST ? cpu_sygst_hegst(itype, uplo, n, hARes[b], lda, hB[b], ldb)
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: cpu_sygs2_hegs2(itype, uplo, n, hARes[b], lda, hB[b], ldb);
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}
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}
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// error is ||M - hARes|| / ||M||
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// using frobenius 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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if(uplo == rocblas_fill_upper)
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err = norm_error_upperTr('F', n, n, lda, M[b], hARes[b]);
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else
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err = norm_error_lowerTr('F', n, n, lda, M[b], hARes[b]);
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*max_err = err > *max_err ? err : *max_err;
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}
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}
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template <bool STRIDED, bool SYGST, typename T, typename Td, typename Th>
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void sygsx_hegsx_getPerfData(const rocblas_handle handle,
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const rocblas_eform itype,
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const rocblas_fill uplo,
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const rocblas_int n,
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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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const rocblas_int bc,
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Th& hA,
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Th& hB,
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double* gpu_time_used,
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double* cpu_time_used,
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const rocblas_int hot_calls,
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const int profile,
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const bool profile_kernels,
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const bool perf)
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{
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host_strided_batch_vector<T> M(lda * n, 1, lda * n, bc);
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if(!perf)
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{
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sygsx_hegsx_initData<true, false, T>(handle, itype, uplo, n, dA, lda, stA, dB, ldb, stB, bc,
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hA, hB, M, false);
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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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for(rocblas_int b = 0; b < bc; ++b)
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{
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SYGST ? cpu_sygst_hegst(itype, uplo, n, hA[b], lda, hB[b], ldb)
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: cpu_sygs2_hegs2(itype, uplo, n, hA[b], lda, hB[b], ldb);
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}
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*cpu_time_used = get_time_us_no_sync() - *cpu_time_used;
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}
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sygsx_hegsx_initData<true, false, T>(handle, itype, uplo, n, dA, lda, stA, dB, ldb, stB, bc, hA,
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hB, M, false);
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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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sygsx_hegsx_initData<false, true, T>(handle, itype, uplo, n, dA, lda, stA, dB, ldb, stB, bc,
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hA, hB, M, false);
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CHECK_ROCBLAS_ERROR(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n, dA.data(),
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lda, stA, dB.data(), ldb, stB, bc));
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}
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// gpu-lapack performance
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hipStream_t stream;
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CHECK_ROCBLAS_ERROR(rocblas_get_stream(handle, &stream));
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rocsolver_timer timer;
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if(profile > 0)
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{
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if(profile_kernels)
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rocsolver_log_set_layer_mode(rocblas_layer_mode_log_profile
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| rocblas_layer_mode_ex_log_kernel);
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else
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rocsolver_log_set_layer_mode(rocblas_layer_mode_log_profile);
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rocsolver_log_set_max_levels(profile);
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}
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for(rocblas_int iter = 0; iter < hot_calls; iter++)
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{
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sygsx_hegsx_initData<false, true, T>(handle, itype, uplo, n, dA, lda, stA, dB, ldb, stB, bc,
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hA, hB, M, false);
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timer.start(stream);
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rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n, dA.data(), lda, stA,
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dB.data(), ldb, stB, bc);
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timer.end(stream);
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}
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*gpu_time_used = timer.get_combined();
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}
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template <bool BATCHED, bool STRIDED, bool SYGST, typename T>
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void testing_sygsx_hegsx(Arguments& argus)
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{
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// get arguments
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rocblas_local_handle handle;
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char itypeC = argus.get<char>("itype");
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char uploC = argus.get<char>("uplo");
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rocblas_int n = argus.get<rocblas_int>("n");
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rocblas_int lda = argus.get<rocblas_int>("lda", n);
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rocblas_int ldb = argus.get<rocblas_int>("ldb", n);
|
|
rocblas_stride stA = argus.get<rocblas_stride>("strideA", lda * n);
|
|
rocblas_stride stB = argus.get<rocblas_stride>("strideB", ldb * n);
|
|
|
|
rocblas_eform itype = char2rocblas_eform(itypeC);
|
|
rocblas_fill uplo = char2rocblas_fill(uploC);
|
|
rocblas_int bc = argus.batch_count;
|
|
rocblas_int hot_calls = argus.iters;
|
|
|
|
rocblas_stride stARes = (argus.unit_check || argus.norm_check) ? stA : 0;
|
|
rocblas_stride stBRes = (argus.unit_check || argus.norm_check) ? stB : 0;
|
|
|
|
// check non-supported values
|
|
if(uplo != rocblas_fill_upper && uplo != rocblas_fill_lower)
|
|
{
|
|
if(BATCHED)
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n,
|
|
(T* const*)nullptr, lda, stA,
|
|
(T* const*)nullptr, ldb, stB, bc),
|
|
rocblas_status_invalid_value);
|
|
else
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n,
|
|
(T*)nullptr, lda, stA, (T*)nullptr, ldb,
|
|
stB, 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) * 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 = (n < 0 || lda < n || ldb < n || bc < 0);
|
|
if(invalid_size)
|
|
{
|
|
if(BATCHED)
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n,
|
|
(T* const*)nullptr, lda, stA,
|
|
(T* const*)nullptr, ldb, stB, bc),
|
|
rocblas_status_invalid_size);
|
|
else
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n,
|
|
(T*)nullptr, lda, stA, (T*)nullptr, ldb,
|
|
stB, 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_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n,
|
|
(T* const*)nullptr, lda, stA,
|
|
(T* const*)nullptr, ldb, stB, bc));
|
|
else
|
|
CHECK_ALLOC_QUERY(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n,
|
|
(T*)nullptr, lda, stA, (T*)nullptr, ldb, stB, 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> hARes(size_ARes, 1, bc);
|
|
host_batch_vector<T> hB(size_B, 1, bc);
|
|
device_batch_vector<T> dA(size_A, 1, bc);
|
|
device_batch_vector<T> dB(size_B, 1, bc);
|
|
if(size_A)
|
|
CHECK_HIP_ERROR(dA.memcheck());
|
|
if(size_B)
|
|
CHECK_HIP_ERROR(dB.memcheck());
|
|
|
|
// check quick return
|
|
if(n == 0 || bc == 0)
|
|
{
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n,
|
|
dA.data(), lda, stA, dB.data(), ldb, stB, bc),
|
|
rocblas_status_success);
|
|
if(argus.timing)
|
|
rocsolver_bench_inform(inform_quick_return);
|
|
|
|
return;
|
|
}
|
|
|
|
// check computations
|
|
if(argus.unit_check || argus.norm_check)
|
|
sygsx_hegsx_getError<STRIDED, SYGST, T>(handle, itype, uplo, n, dA, lda, stA, dB, ldb,
|
|
stB, bc, hA, hARes, hB, &max_error);
|
|
|
|
// collect performance data
|
|
if(argus.timing && hot_calls > 0)
|
|
sygsx_hegsx_getPerfData<STRIDED, SYGST, T>(
|
|
handle, itype, uplo, n, dA, lda, stA, dB, ldb, stB, bc, hA, hB, &gpu_time_used,
|
|
&cpu_time_used, hot_calls, argus.profile, argus.profile_kernels, 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<T> hB(size_B, 1, stB, bc);
|
|
device_strided_batch_vector<T> dA(size_A, 1, stA, bc);
|
|
device_strided_batch_vector<T> dB(size_B, 1, stB, bc);
|
|
if(size_A)
|
|
CHECK_HIP_ERROR(dA.memcheck());
|
|
if(size_B)
|
|
CHECK_HIP_ERROR(dB.memcheck());
|
|
|
|
// check quick return
|
|
if(n == 0 || bc == 0)
|
|
{
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_sygsx_hegsx(STRIDED, SYGST, handle, itype, uplo, n,
|
|
dA.data(), lda, stA, dB.data(), ldb, stB, bc),
|
|
rocblas_status_success);
|
|
if(argus.timing)
|
|
rocsolver_bench_inform(inform_quick_return);
|
|
|
|
return;
|
|
}
|
|
|
|
// check computations
|
|
if(argus.unit_check || argus.norm_check)
|
|
sygsx_hegsx_getError<STRIDED, SYGST, T>(handle, itype, uplo, n, dA, lda, stA, dB, ldb,
|
|
stB, bc, hA, hARes, hB, &max_error);
|
|
|
|
// collect performance data
|
|
if(argus.timing && hot_calls > 0)
|
|
sygsx_hegsx_getPerfData<STRIDED, SYGST, T>(
|
|
handle, itype, uplo, n, dA, lda, stA, dB, ldb, stB, bc, hA, hB, &gpu_time_used,
|
|
&cpu_time_used, hot_calls, argus.profile, argus.profile_kernels, argus.perf);
|
|
}
|
|
|
|
// validate results for rocsolver-test
|
|
// using n * machine_precision as tolerance
|
|
if(argus.unit_check)
|
|
ROCSOLVER_TEST_CHECK(T, max_error, n);
|
|
|
|
// output results for rocsolver-bench
|
|
if(argus.timing)
|
|
{
|
|
if(!argus.perf)
|
|
{
|
|
rocsolver_bench_header("Arguments:");
|
|
if(BATCHED)
|
|
{
|
|
rocsolver_bench_output("itype", "uplo", "n", "lda", "ldb", "batch_c");
|
|
rocsolver_bench_output(itypeC, uploC, n, lda, ldb, bc);
|
|
}
|
|
else if(STRIDED)
|
|
{
|
|
rocsolver_bench_output("itype", "uplo", "n", "lda", "strideA", "ldb", "strideB",
|
|
"batch_c");
|
|
rocsolver_bench_output(itypeC, uploC, n, lda, stA, ldb, stB, bc);
|
|
}
|
|
else
|
|
{
|
|
rocsolver_bench_output("itype", "uplo", "n", "lda", "ldb");
|
|
rocsolver_bench_output(itypeC, uploC, n, lda, ldb);
|
|
}
|
|
rocsolver_bench_header("Results:");
|
|
if(argus.norm_check)
|
|
{
|
|
rocsolver_bench_output("cpu_time_us", "gpu_time_us", "error");
|
|
rocsolver_bench_output(cpu_time_used, gpu_time_used, max_error);
|
|
}
|
|
else
|
|
{
|
|
rocsolver_bench_output("cpu_time_us", "gpu_time_us");
|
|
rocsolver_bench_output(cpu_time_used, gpu_time_used);
|
|
}
|
|
rocsolver_bench_endl();
|
|
}
|
|
else
|
|
{
|
|
if(argus.norm_check)
|
|
rocsolver_bench_output(gpu_time_used, max_error);
|
|
else
|
|
rocsolver_bench_output(gpu_time_used);
|
|
}
|
|
}
|
|
|
|
// ensure all arguments were consumed
|
|
argus.validate_consumed();
|
|
}
|
|
|
|
#define EXTERN_TESTING_SYGSX_HEGSX(...) \
|
|
extern template void testing_sygsx_hegsx<__VA_ARGS__>(Arguments&);
|
|
|
|
INSTANTIATE(EXTERN_TESTING_SYGSX_HEGSX,
|
|
FOREACH_MATRIX_DATA_LAYOUT,
|
|
FOREACH_BLOCKED_VARIANT,
|
|
FOREACH_SCALAR_TYPE,
|
|
APPLY_STAMP)
|