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135 lines
3.8 KiB
C++
135 lines
3.8 KiB
C++
/* ************************************************************************
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* Copyright (C) 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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#include "utility.hpp"
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#include <rocalution/rocalution.hpp>
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template <typename T>
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bool testing_mixed_precision(Arguments argus)
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{
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using namespace rocalution;
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int ndim = argus.size;
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std::string precond = argus.precond;
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unsigned int format = argus.format;
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std::string matrix_type = argus.matrix_type;
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bool rebuildnumeric = argus.rebuildnumeric;
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// Initialize rocALUTION platform
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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> e;
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LocalVector<T> rhs;
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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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int ncol = 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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ncol = nrow;
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}
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else
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{
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stop_rocalution();
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disable_accelerator_rocalution(false);
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return true;
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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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// Allocate x, b and e
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x.Allocate("x", A.GetN());
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rhs.Allocate("b", A.GetM());
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e.Allocate("e", A.GetN());
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// Linear Solver
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MixedPrecisionDC<LocalMatrix<T>,
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LocalVector<T>,
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T,
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LocalMatrix<float>,
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LocalVector<float>,
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float>
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mp;
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CG<LocalMatrix<float>, LocalVector<float>, float> cg;
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MultiColoredILU<LocalMatrix<float>, LocalVector<float>, float> p;
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// Initialize rhs such that A 1 = rhs
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e.Ones();
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A.Apply(e, &rhs);
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// Initial zero guess
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x.Zeros();
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// setup a lower tol for the inner solver
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cg.SetPreconditioner(p);
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cg.Init(1e-5, 1e-2, 1e+20, 100000);
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// setup the mixed-precision DC
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mp.SetOperator(A);
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mp.Set(cg);
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// Build solver
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mp.Build();
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// Verbosity output
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mp.Verbose(1);
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// Solve A x = rhs
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mp.Solve(rhs, &x);
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// Compute error L2 norm
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e.ScaleAdd(-1.0, x);
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T error = e.Norm();
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std::cout << "||e - x||_2 = " << error << std::endl;
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// Clear solver
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mp.Clear();
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// Stop rocALUTION platform
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stop_rocalution();
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return true;
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} |