/* ************************************************************************ * Copyright (C) 2018-2025 Advanced Micro Devices, Inc. All rights Reserved. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN * THE SOFTWARE. * * ************************************************************************ */ #pragma once #ifndef TESTING_GMRES_HPP #define TESTING_GMRES_HPP #include "utility.hpp" #include using namespace rocalution; template bool testing_gmres(Arguments argus, bool expectConvergence = true) { int ndim = argus.size; int basis = argus.index; std::string matrix = argus.matrix; std::string precond = argus.precond; unsigned int format = argus.format; bool disable_accelerator = !argus.use_acc; // Initialize rocALUTION platform disable_accelerator_rocalution(disable_accelerator); set_device_rocalution(device); init_rocalution(); // rocALUTION structures LocalMatrix A; LocalVector x; LocalVector b; LocalVector e; // Generate A int* csr_ptr = NULL; int* csr_col = NULL; T* csr_val = NULL; int nrow = 0; if(matrix == "laplacian") nrow = gen_2d_laplacian(ndim, &csr_ptr, &csr_col, &csr_val); else if(matrix == "permuted_identity") nrow = gen_permuted_identity(ndim, &csr_ptr, &csr_col, &csr_val); else return false; int nnz = csr_ptr[nrow]; A.SetDataPtrCSR(&csr_ptr, &csr_col, &csr_val, "A", nnz, nrow, nrow); // Move data to accelerator if(!disable_accelerator) { A.MoveToAccelerator(); x.MoveToAccelerator(); b.MoveToAccelerator(); e.MoveToAccelerator(); } // Allocate x, b and e x.Allocate("x", A.GetN()); b.Allocate("b", A.GetM()); e.Allocate("e", A.GetN()); // b = A * 1 e.Ones(); A.Apply(e, &b); // Random initial guess x.SetRandomUniform(12345ULL, -4.0, 6.0); // Solver GMRES, LocalVector, T> ls; // Preconditioner Preconditioner, LocalVector, T>* p; if(precond == "None") p = NULL; else if(precond == "Chebyshev") { // Chebyshev preconditioner // Determine min and max eigenvalues T lambda_min; T lambda_max; A.Gershgorin(lambda_min, lambda_max); AIChebyshev, LocalVector, T>* cheb = new AIChebyshev, LocalVector, T>; cheb->Set(3, lambda_max / 7.0, lambda_max); p = cheb; } else if(precond == "FSAI") p = new FSAI, LocalVector, T>; else if(precond == "SPAI") p = new SPAI, LocalVector, T>; else if(precond == "TNS") p = new TNS, LocalVector, T>; else if(precond == "Jacobi") p = new Jacobi, LocalVector, T>; else if(precond == "GS") p = new GS, LocalVector, T>; else if(precond == "SGS") p = new SGS, LocalVector, T>; else if(precond == "ILU") p = new ILU, LocalVector, T>; else if(precond == "ItILU0") p = new ItILU0, LocalVector, T>; else if(precond == "ILUT") p = new ILUT, LocalVector, T>; else if(precond == "IC") p = new IC, LocalVector, T>; else if(precond == "MCGS") p = new MultiColoredGS, LocalVector, T>; else if(precond == "MCSGS") p = new MultiColoredSGS, LocalVector, T>; else if(precond == "MCILU") p = new MultiColoredILU, LocalVector, T>; else return false; ls.Verbose(0); ls.SetOperator(A); // Set preconditioner if(p != NULL) { ls.SetPreconditioner(*p); } ls.Init(1e-6, 0.0, 1e+8, 10000); ls.SetBasisSize(basis); ls.Build(); // Matrix format A.ConvertTo(format, format == BCSR ? argus.blockdim : 1); ls.Solve(b, &x); // Verify solution x.ScaleAdd(-1.0, e); T nrm2 = x.Norm(); bool success = expectConvergence ? (nrm2 < 1e3) : true; // Clean up ls.Clear(); if(p != NULL) { delete p; } // Stop rocALUTION platform stop_rocalution(); disable_accelerator_rocalution(false); return success; } #endif // TESTING_GMRES_HPP