derek.holloway
7502bf64a4
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551 lines
23 KiB
C++
551 lines
23 KiB
C++
/* **************************************************************************
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* Copyright (C) 2023-2025 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
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* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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* OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
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* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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* SUCH DAMAGE.
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* *************************************************************************/
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#pragma once
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#include "common/misc/client_util.hpp"
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#include "common/misc/clientcommon.hpp"
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#include "common/misc/lapack_host_reference.hpp"
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#include "common/misc/norm.hpp"
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#include "common/misc/rocsolver.hpp"
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#include "common/misc/rocsolver_arguments.hpp"
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#include "common/misc/rocsolver_test.hpp"
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#include "common/misc/rocsolver_timer.hpp"
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template <typename T>
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void csrrf_refactlu_checkBadArgs(rocblas_handle handle,
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const rocblas_int n,
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const rocblas_int nnzA,
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rocblas_int* ptrA,
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rocblas_int* indA,
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T valA,
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const rocblas_int nnzT,
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rocblas_int* ptrT,
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rocblas_int* indT,
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T valT,
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rocblas_int* pivP,
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rocblas_int* pivQ,
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rocsolver_rfinfo rfinfo)
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{
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// handle
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(nullptr, n, nnzA, ptrA, indA, valA, nnzT, ptrT,
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indT, valT, pivP, pivQ, rfinfo),
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rocblas_status_invalid_handle);
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// values
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// N/A
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// sizes (only check batch_count if applicable)
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// N/A
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// pointers
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(handle, n, nnzA, (rocblas_int*)nullptr, indA,
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valA, nnzT, ptrT, indT, valT, pivP, pivQ, rfinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(handle, n, nnzA, ptrA, (rocblas_int*)nullptr,
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valA, nnzT, ptrT, indT, valT, pivP, pivQ, rfinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(handle, n, nnzA, ptrA, indA, (T) nullptr, nnzT,
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ptrT, indT, valT, pivP, pivQ, rfinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(handle, n, nnzA, ptrA, indA, valA, nnzT,
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(rocblas_int*)nullptr, indT, valT, pivP, pivQ,
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rfinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(handle, n, nnzA, ptrA, indA, valA, nnzT, ptrT,
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(rocblas_int*)nullptr, valT, pivP, pivQ, rfinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(handle, n, nnzA, ptrA, indA, valA, nnzT, ptrT,
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indT, (T) nullptr, pivP, pivQ, rfinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(handle, n, nnzA, ptrA, indA, valA, nnzT, ptrT,
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indT, valT, (rocblas_int*)nullptr, pivQ, rfinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(handle, n, nnzA, ptrA, indA, valA, nnzT, ptrT,
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indT, valT, pivP, (rocblas_int*)nullptr, rfinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(handle, n, nnzA, ptrA, indA, valA, nnzT, ptrT,
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indT, valT, pivP, pivQ, nullptr),
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rocblas_status_invalid_pointer);
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// quick return with invalid pointers
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(handle, 0, nnzA, ptrA, indA, valA, nnzT, ptrT,
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indT, valT, (rocblas_int*)nullptr,
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(rocblas_int*)nullptr, rfinfo),
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rocblas_status_success);
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EXPECT_ROCBLAS_STATUS(
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rocsolver_csrrf_refactlu(handle, 0, 0, ptrA, (rocblas_int*)nullptr, (T) nullptr, nnzT, ptrT,
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indT, valT, (rocblas_int*)nullptr, (rocblas_int*)nullptr, rfinfo),
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rocblas_status_success);
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EXPECT_ROCBLAS_STATUS(
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rocsolver_csrrf_refactlu(handle, 0, nnzA, ptrA, indA, valA, 0, ptrT, (rocblas_int*)nullptr,
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(T) nullptr, (rocblas_int*)nullptr, (rocblas_int*)nullptr, rfinfo),
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rocblas_status_success);
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// quick return with zero batch_count if applicable
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// N/A
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}
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template <typename T>
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void testing_csrrf_refactlu_bad_arg()
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{
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// safe arguments
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rocblas_local_handle handle;
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rocsolver_local_rfinfo rfinfo(handle);
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rocblas_int n = 1;
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rocblas_int nnzA = 1;
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rocblas_int nnzT = 1;
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// memory allocations
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device_strided_batch_vector<rocblas_int> ptrA(1, 1, 1, 1);
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device_strided_batch_vector<rocblas_int> indA(1, 1, 1, 1);
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device_strided_batch_vector<T> valA(1, 1, 1, 1);
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device_strided_batch_vector<rocblas_int> ptrT(1, 1, 1, 1);
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device_strided_batch_vector<rocblas_int> indT(1, 1, 1, 1);
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device_strided_batch_vector<T> valT(1, 1, 1, 1);
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device_strided_batch_vector<rocblas_int> pivP(1, 1, 1, 1);
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device_strided_batch_vector<rocblas_int> pivQ(1, 1, 1, 1);
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CHECK_HIP_ERROR(ptrA.memcheck());
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CHECK_HIP_ERROR(indA.memcheck());
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CHECK_HIP_ERROR(valA.memcheck());
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CHECK_HIP_ERROR(ptrT.memcheck());
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CHECK_HIP_ERROR(indT.memcheck());
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CHECK_HIP_ERROR(valT.memcheck());
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CHECK_HIP_ERROR(pivP.memcheck());
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CHECK_HIP_ERROR(pivQ.memcheck());
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// check bad arguments
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csrrf_refactlu_checkBadArgs(handle, n, nnzA, ptrA.data(), indA.data(), valA.data(), nnzT,
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ptrT.data(), indT.data(), valT.data(), pivP.data(), pivQ.data(),
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rfinfo);
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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 csrrf_refactlu_initData(rocblas_handle handle,
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const rocblas_int n,
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const rocblas_int nnzA,
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Ud& dptrA,
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Ud& dindA,
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Td& dvalA,
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const rocblas_int nnzT,
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Ud& dptrT,
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Ud& dindT,
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Td& dvalT,
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Ud& dpivP,
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Ud& dpivQ,
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Uh& hptrA,
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Uh& hindA,
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Th& hvalA,
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Uh& hptrT,
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Uh& hindT,
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Th& hvalT,
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Uh& hpivP,
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Uh& hpivQ,
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const fs::path testcase)
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{
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if(CPU)
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{
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fs::path file;
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// read-in A
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file = testcase / "ptrA";
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read_matrix(file.string(), 1, n + 1, hptrA.data(), 1);
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file = testcase / "indA";
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read_matrix(file.string(), 1, nnzA, hindA.data(), 1);
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file = testcase / "valA";
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read_matrix(file.string(), 1, nnzA, hvalA.data(), 1);
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// read-in T
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file = testcase / "ptrT";
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read_matrix(file.string(), 1, n + 1, hptrT.data(), 1);
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file = testcase / "indT";
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read_matrix(file.string(), 1, nnzT, hindT.data(), 1);
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file = testcase / "valT";
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read_matrix(file.string(), 1, nnzT, hvalT.data(), 1);
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// read-in P
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file = testcase / "P";
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read_matrix(file.string(), 1, n, hpivP.data(), 1);
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// read-in Q
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file = testcase / "Q";
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read_matrix(file.string(), 1, n, hpivQ.data(), 1);
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}
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if(GPU)
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{
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CHECK_HIP_ERROR(dptrA.transfer_from(hptrA));
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CHECK_HIP_ERROR(dindA.transfer_from(hindA));
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CHECK_HIP_ERROR(dvalA.transfer_from(hvalA));
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CHECK_HIP_ERROR(dptrT.transfer_from(hptrT));
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CHECK_HIP_ERROR(dindT.transfer_from(hindT));
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CHECK_HIP_ERROR(dvalT.transfer_from(hvalT));
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CHECK_HIP_ERROR(dpivP.transfer_from(hpivP));
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CHECK_HIP_ERROR(dpivQ.transfer_from(hpivQ));
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}
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}
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template <typename T, typename Td, typename Ud, typename Th, typename Uh>
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void csrrf_refactlu_getError(rocblas_handle handle,
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const rocblas_int n,
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const rocblas_int nnzA,
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Ud& dptrA,
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Ud& dindA,
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Td& dvalA,
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const rocblas_int nnzT,
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Ud& dptrT,
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Ud& dindT,
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Td& dvalT,
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Ud& dpivP,
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Ud& dpivQ,
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rocsolver_rfinfo rfinfo,
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Uh& hptrA,
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Uh& hindA,
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Th& hvalA,
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Uh& hptrT,
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Uh& hindT,
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Th& hvalT,
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Uh& hpivP,
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Uh& hpivQ,
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Th& hvalTres,
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double* max_err,
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const fs::path testcase)
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{
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// input data initialization
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csrrf_refactlu_initData<true, true, T>(handle, n, nnzA, dptrA, dindA, dvalA, nnzT, dptrT, dindT,
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dvalT, dpivP, dpivQ, hptrA, hindA, hvalA, hptrT, hindT,
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hvalT, hpivP, hpivQ, testcase);
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// execute computations
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// GPU lapack
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CHECK_ROCBLAS_ERROR(rocsolver_csrrf_analysis(
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handle, n, 0, nnzA, dptrA.data(), dindA.data(), dvalA.data(), nnzT, dptrT.data(),
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dindT.data(), dvalT.data(), dpivP.data(), dpivQ.data(), (T*)nullptr, n, rfinfo));
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CHECK_ROCBLAS_ERROR(rocsolver_csrrf_refactlu(handle, n, nnzA, dptrA.data(), dindA.data(),
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dvalA.data(), nnzT, dptrT.data(), dindT.data(),
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dvalT.data(), dpivP.data(), dpivQ.data(), rfinfo));
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CHECK_HIP_ERROR(hvalTres.transfer_from(dvalT));
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// compare computed results with original result
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*max_err = norm_error('F', 1, nnzT, 1, hvalT[0], hvalTres[0]);
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}
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template <typename T, typename Td, typename Ud, typename Th, typename Uh>
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void csrrf_refactlu_getPerfData(rocblas_handle handle,
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const rocblas_int n,
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const rocblas_int nnzA,
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Ud& dptrA,
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Ud& dindA,
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Td& dvalA,
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const rocblas_int nnzT,
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Ud& dptrT,
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Ud& dindT,
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Td& dvalT,
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Ud& dpivP,
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Ud& dpivQ,
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rocsolver_rfinfo rfinfo,
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Uh& hptrA,
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Uh& hindA,
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Th& hvalA,
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Uh& hptrT,
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Uh& hindT,
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Th& hvalT,
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Uh& hpivP,
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Uh& hpivQ,
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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 fs::path testcase)
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{
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*cpu_time_used = nan(""); // no timing on cpu-lapack execution
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csrrf_refactlu_initData<true, true, T>(handle, n, nnzA, dptrA, dindA, dvalA, nnzT, dptrT, dindT,
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dvalT, dpivP, dpivQ, hptrA, hindA, hvalA, hptrT, hindT,
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hvalT, hpivP, hpivQ, testcase);
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CHECK_ROCBLAS_ERROR(rocsolver_csrrf_analysis(
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handle, n, 0, nnzA, dptrA.data(), dindA.data(), dvalA.data(), nnzT, dptrT.data(),
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dindT.data(), dvalT.data(), dpivP.data(), dpivQ.data(), (T*)nullptr, n, rfinfo));
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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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csrrf_refactlu_initData<false, true, T>(handle, n, nnzA, dptrA, dindA, dvalA, nnzT, dptrT,
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dindT, dvalT, dpivP, dpivQ, hptrA, hindA, hvalA,
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hptrT, hindT, hvalT, hpivP, hpivQ, testcase);
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CHECK_ROCBLAS_ERROR(rocsolver_csrrf_refactlu(
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handle, n, nnzA, dptrA.data(), dindA.data(), dvalA.data(), nnzT, dptrT.data(),
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dindT.data(), dvalT.data(), dpivP.data(), dpivQ.data(), rfinfo));
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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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csrrf_refactlu_initData<false, true, T>(handle, n, nnzA, dptrA, dindA, dvalA, nnzT, dptrT,
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dindT, dvalT, dpivP, dpivQ, hptrA, hindA, hvalA,
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hptrT, hindT, hvalT, hpivP, hpivQ, testcase);
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timer.start(stream);
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rocsolver_csrrf_refactlu(handle, n, nnzA, dptrA.data(), dindA.data(), dvalA.data(), nnzT,
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dptrT.data(), dindT.data(), dvalT.data(), dpivP.data(),
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dpivQ.data(), rfinfo);
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timer.end(stream);
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}
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*gpu_time_used = timer.get_combined();
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}
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template <typename T>
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void testing_csrrf_refactlu(Arguments& argus)
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{
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// get arguments
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rocblas_local_handle handle;
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rocsolver_local_rfinfo rfinfo(handle);
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rocblas_int n = argus.get<rocblas_int>("n");
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rocblas_int nnzA = argus.get<rocblas_int>("nnzA");
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rocblas_int nnzT = argus.get<rocblas_int>("nnzT");
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rocblas_int hot_calls = argus.iters;
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// check non-supported values
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// N/A
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// check invalid sizes
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bool invalid_size = (n < 0 || nnzA < 0 || nnzT < 0);
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if(invalid_size)
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{
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EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(
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handle, n, nnzA, (rocblas_int*)nullptr, (rocblas_int*)nullptr,
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(T*)nullptr, nnzT, (rocblas_int*)nullptr, (rocblas_int*)nullptr,
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(T*)nullptr, (rocblas_int*)nullptr, (rocblas_int*)nullptr, rfinfo),
|
|
rocblas_status_invalid_size);
|
|
|
|
if(argus.timing)
|
|
rocsolver_bench_inform(inform_invalid_size);
|
|
|
|
return;
|
|
}
|
|
|
|
// determine existing test case
|
|
if(n > 0)
|
|
{
|
|
if(n <= 35)
|
|
n = 20;
|
|
else if(n <= 75)
|
|
n = 50;
|
|
else if(n <= 175)
|
|
n = 100;
|
|
else
|
|
n = 250;
|
|
}
|
|
|
|
if(n <= 50) // small case
|
|
{
|
|
if(nnzA <= 80)
|
|
nnzA = 60;
|
|
else if(nnzA <= 120)
|
|
nnzA = 100;
|
|
else
|
|
nnzA = 140;
|
|
}
|
|
else // large case
|
|
{
|
|
if(nnzA <= 400)
|
|
nnzA = 300;
|
|
else if(nnzA <= 600)
|
|
nnzA = 500;
|
|
else
|
|
nnzA = 700;
|
|
}
|
|
|
|
// read/set corresponding nnzT
|
|
fs::path testcase;
|
|
if(n > 0)
|
|
{
|
|
testcase = get_sparse_data_dir() / fs::path(fmt::format("mat_{}_{}", n, nnzA));
|
|
fs::path fileA = testcase / "ptrA";
|
|
read_last(fileA.string(), &nnzA);
|
|
fs::path fileT = testcase / "ptrT";
|
|
read_last(fileT.string(), &nnzT);
|
|
}
|
|
|
|
// memory size query if necessary
|
|
if(argus.mem_query)
|
|
{
|
|
CHECK_ROCBLAS_ERROR(rocblas_start_device_memory_size_query(handle));
|
|
CHECK_ALLOC_QUERY(rocsolver_csrrf_refactlu(
|
|
handle, n, nnzA, (rocblas_int*)nullptr, (rocblas_int*)nullptr, (T*)nullptr, nnzT,
|
|
(rocblas_int*)nullptr, (rocblas_int*)nullptr, (T*)nullptr, (rocblas_int*)nullptr,
|
|
(rocblas_int*)nullptr, rfinfo));
|
|
|
|
size_t size;
|
|
CHECK_ROCBLAS_ERROR(rocblas_stop_device_memory_size_query(handle, &size));
|
|
|
|
rocsolver_bench_inform(inform_mem_query, size);
|
|
return;
|
|
}
|
|
|
|
// determine sizes
|
|
size_t size_ptrA = size_t(n) + 1;
|
|
size_t size_indA = size_t(nnzA);
|
|
size_t size_valA = size_t(nnzA);
|
|
size_t size_ptrT = size_t(n) + 1;
|
|
size_t size_indT = size_t(nnzT);
|
|
size_t size_valT = size_t(nnzT);
|
|
size_t size_pivP = size_t(n);
|
|
size_t size_pivQ = size_t(n);
|
|
|
|
size_t size_valTres = 0;
|
|
if(argus.unit_check || argus.norm_check)
|
|
size_valTres = size_valT;
|
|
|
|
double max_error = 0, gpu_time_used = 0, cpu_time_used = 0;
|
|
|
|
// memory allocations
|
|
host_strided_batch_vector<rocblas_int> hptrA(size_ptrA, 1, size_ptrA, 1);
|
|
host_strided_batch_vector<rocblas_int> hindA(size_indA, 1, size_indA, 1);
|
|
host_strided_batch_vector<T> hvalA(size_valA, 1, size_valA, 1);
|
|
host_strided_batch_vector<rocblas_int> hptrT(size_ptrT, 1, size_ptrT, 1);
|
|
host_strided_batch_vector<rocblas_int> hindT(size_indT, 1, size_indT, 1);
|
|
host_strided_batch_vector<T> hvalT(size_valT, 1, size_valT, 1);
|
|
host_strided_batch_vector<T> hvalTres(size_valTres, 1, size_valTres, 1);
|
|
host_strided_batch_vector<rocblas_int> hpivP(size_pivP, 1, size_pivP, 1);
|
|
host_strided_batch_vector<rocblas_int> hpivQ(size_pivQ, 1, size_pivQ, 1);
|
|
|
|
device_strided_batch_vector<rocblas_int> dptrA(size_ptrA, 1, size_ptrA, 1);
|
|
device_strided_batch_vector<rocblas_int> dindA(size_indA, 1, size_indA, 1);
|
|
device_strided_batch_vector<T> dvalA(size_valA, 1, size_valA, 1);
|
|
device_strided_batch_vector<rocblas_int> dptrT(size_ptrT, 1, size_ptrT, 1);
|
|
device_strided_batch_vector<rocblas_int> dindT(size_indT, 1, size_indT, 1);
|
|
device_strided_batch_vector<T> dvalT(size_valT, 1, size_valT, 1);
|
|
device_strided_batch_vector<rocblas_int> dpivP(size_pivP, 1, size_pivP, 1);
|
|
device_strided_batch_vector<rocblas_int> dpivQ(size_pivQ, 1, size_pivQ, 1);
|
|
CHECK_HIP_ERROR(dptrA.memcheck());
|
|
CHECK_HIP_ERROR(dptrT.memcheck());
|
|
if(size_indA)
|
|
CHECK_HIP_ERROR(dindA.memcheck());
|
|
if(size_valA)
|
|
CHECK_HIP_ERROR(dvalA.memcheck());
|
|
if(size_indT)
|
|
CHECK_HIP_ERROR(dindT.memcheck());
|
|
if(size_valT)
|
|
CHECK_HIP_ERROR(dvalT.memcheck());
|
|
if(size_pivP)
|
|
CHECK_HIP_ERROR(dpivP.memcheck());
|
|
if(size_pivQ)
|
|
CHECK_HIP_ERROR(dpivQ.memcheck());
|
|
|
|
// check quick return
|
|
if(n == 0)
|
|
{
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_csrrf_refactlu(handle, n, nnzA, dptrA.data(), dindA.data(),
|
|
dvalA.data(), nnzT, dptrT.data(),
|
|
dindT.data(), dvalT.data(), dpivP.data(),
|
|
dpivQ.data(), rfinfo),
|
|
rocblas_status_success);
|
|
if(argus.timing)
|
|
rocsolver_bench_inform(inform_quick_return);
|
|
|
|
return;
|
|
}
|
|
|
|
// check computations
|
|
if(argus.unit_check || argus.norm_check)
|
|
csrrf_refactlu_getError<T>(handle, n, nnzA, dptrA, dindA, dvalA, nnzT, dptrT, dindT, dvalT,
|
|
dpivP, dpivQ, rfinfo, hptrA, hindA, hvalA, hptrT, hindT, hvalT,
|
|
hpivP, hpivQ, hvalTres, &max_error, testcase);
|
|
|
|
// collect performance data
|
|
if(argus.timing && hot_calls > 0)
|
|
csrrf_refactlu_getPerfData<T>(handle, n, nnzA, dptrA, dindA, dvalA, nnzT, dptrT, dindT,
|
|
dvalT, dpivP, dpivQ, rfinfo, hptrA, hindA, hvalA, hptrT, hindT,
|
|
hvalT, hpivP, hpivQ, &gpu_time_used, &cpu_time_used, hot_calls,
|
|
argus.profile, argus.profile_kernels, argus.perf, testcase);
|
|
|
|
// validate results for rocsolver-test
|
|
// using 2 * n * machine precision for tolerance
|
|
if(argus.unit_check)
|
|
ROCSOLVER_TEST_CHECK(T, max_error, 2 * n);
|
|
|
|
// output results for rocsolver-bench
|
|
if(argus.timing)
|
|
{
|
|
if(!argus.perf)
|
|
{
|
|
rocsolver_bench_header("Arguments:");
|
|
rocsolver_bench_output("n", "nnzA", "nnzT");
|
|
rocsolver_bench_output(n, nnzA, nnzT);
|
|
|
|
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_CSRRF_REFACTLU(...) \
|
|
extern template void testing_csrrf_refactlu<__VA_ARGS__>(Arguments&);
|
|
|
|
INSTANTIATE(EXTERN_TESTING_CSRRF_REFACTLU, FOREACH_REAL_TYPE, APPLY_STAMP)
|