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246 lines
6.4 KiB
C++
246 lines
6.4 KiB
C++
/* ************************************************************************
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* Copyright (C) 2018-2025 Advanced Micro Devices, Inc. All rights Reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*
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* ************************************************************************ */
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#pragma once
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#ifndef TESTING_UAAMG_HPP
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#define TESTING_UAAMG_HPP
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#include "utility.hpp"
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#include <rocalution/rocalution.hpp>
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using namespace rocalution;
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static bool check_residual(float res)
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{
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return (res < 2e-2f);
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}
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static bool check_residual(double res)
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{
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return (res < 1e-5);
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}
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template <typename T>
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bool testing_uaamg(Arguments argus)
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{
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int ndim = argus.size;
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int pre_iter = argus.pre_smooth;
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int post_iter = argus.post_smooth;
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std::string smoother = argus.smoother;
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std::string coarsening_strategy = argus.coarsening_strategy;
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std::string matrix_type = argus.matrix_type;
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unsigned int format = argus.format;
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int cycle = argus.cycle;
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bool scaling = argus.ordering;
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bool rebuildnumeric = argus.rebuildnumeric;
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bool disable_accelerator = !argus.use_acc;
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// Initialize rocALUTION platform
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disable_accelerator_rocalution(disable_accelerator);
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set_device_rocalution(device);
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init_rocalution();
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// rocALUTION structures
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LocalMatrix<T> A;
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LocalVector<T> x;
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LocalVector<T> b;
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LocalVector<T> b2;
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LocalVector<T> e;
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// Generate A
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int* csr_ptr = NULL;
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int* csr_col = NULL;
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T* csr_val = NULL;
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int nrow = 0;
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if(matrix_type == "Laplacian2D")
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{
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nrow = gen_2d_laplacian(ndim, &csr_ptr, &csr_col, &csr_val);
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}
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else if(matrix_type == "Laplacian3D")
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{
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nrow = gen_3d_laplacian(ndim, &csr_ptr, &csr_col, &csr_val);
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}
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else
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{
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return false;
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}
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int nnz = csr_ptr[nrow];
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T* csr_val2 = NULL;
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if(rebuildnumeric)
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{
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csr_val2 = new T[nnz];
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for(int i = 0; i < nnz; i++)
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{
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csr_val2[i] = csr_val[i];
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}
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}
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A.SetDataPtrCSR(&csr_ptr, &csr_col, &csr_val, "A", nnz, nrow, nrow);
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assert(csr_ptr == NULL);
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assert(csr_col == NULL);
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assert(csr_val == NULL);
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// Move data to accelerator
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if(!disable_accelerator)
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{
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A.MoveToAccelerator();
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x.MoveToAccelerator();
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b.MoveToAccelerator();
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b2.MoveToAccelerator();
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e.MoveToAccelerator();
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}
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// Allocate x, b and e
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x.Allocate("x", A.GetN());
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b.Allocate("b", A.GetM());
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b2.Allocate("b2", A.GetM());
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e.Allocate("e", A.GetN());
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// b = A * 1
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e.Ones();
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A.Apply(e, &b);
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// Random initial guess
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x.SetRandomUniform(12345ULL, -4.0, 6.0);
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// Solver
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FCG<LocalMatrix<T>, LocalVector<T>, T> ls;
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// AMG
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UAAMG<LocalMatrix<T>, LocalVector<T>, T> p;
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// Setup SAAMG
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p.SetCoarsestLevel(200);
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p.SetCycle(cycle);
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p.SetOperator(A);
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p.SetManualSmoothers(true);
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p.SetManualSolver(true);
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p.SetScaling(scaling);
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if(coarsening_strategy == "Greedy")
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{
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p.SetCoarseningStrategy(CoarseningStrategy::Greedy);
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}
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else if(coarsening_strategy == "PMIS")
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{
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p.SetCoarseningStrategy(CoarseningStrategy::PMIS);
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}
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else
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{
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return false;
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}
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p.SetCouplingStrength(0.005);
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p.SetOverInterp(1.2);
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p.BuildHierarchy();
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// Get number of hierarchy levels
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int levels = p.GetNumLevels();
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// Coarse grid solver
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FCG<LocalMatrix<T>, LocalVector<T>, T> cgs;
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cgs.Verbose(0);
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// Smoother for each level
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IterativeLinearSolver<LocalMatrix<T>, LocalVector<T>, T>** sm
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= new IterativeLinearSolver<LocalMatrix<T>, LocalVector<T>, T>*[levels - 1];
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Preconditioner<LocalMatrix<T>, LocalVector<T>, T>** smooth
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= new Preconditioner<LocalMatrix<T>, LocalVector<T>, T>*[levels - 1];
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for(int i = 0; i < levels - 1; ++i)
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{
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sm[i] = new FixedPoint<LocalMatrix<T>, LocalVector<T>, T>;
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if(smoother == "FSAI")
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smooth[i] = new FSAI<LocalMatrix<T>, LocalVector<T>, T>;
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else if(smoother == "ILU")
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smooth[i] = new ILU<LocalMatrix<T>, LocalVector<T>, T>;
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else
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return false;
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sm[i]->SetPreconditioner(*(smooth[i]));
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sm[i]->Verbose(0);
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}
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p.SetSmoother(sm);
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p.SetSolver(cgs);
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p.SetSmootherPreIter(pre_iter);
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p.SetSmootherPostIter(post_iter);
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p.SetOperatorFormat(format, format == BCSR ? argus.blockdim : 1);
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p.InitMaxIter(1);
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p.Verbose(0);
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ls.Verbose(0);
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ls.SetOperator(A);
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ls.SetPreconditioner(p);
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ls.Init(1e-8, 0.0, 1e+8, 10000);
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ls.Build();
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if(rebuildnumeric)
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{
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A.UpdateValuesCSR(csr_val2);
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delete[] csr_val2;
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// b2 = A * 1
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A.Apply(e, &b2);
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ls.ReBuildNumeric();
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}
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// Matrix format
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A.ConvertTo(format, format == BCSR ? argus.blockdim : 1);
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ls.Solve(rebuildnumeric ? b2 : b, &x);
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// Verify solution
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x.ScaleAdd(-1.0, e);
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T nrm2 = x.Norm();
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bool success = check_residual(nrm2);
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// Clean up
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ls.Clear(); // TODO
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// Stop rocALUTION platform
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stop_rocalution();
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disable_accelerator_rocalution(false);
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for(int i = 0; i < levels - 1; ++i)
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{
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delete smooth[i];
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delete sm[i];
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}
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delete[] smooth;
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delete[] sm;
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return success;
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}
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#endif // TESTING_UAAMG_HPP
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