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/* ************************************************************************
* Copyright (C) 2022 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_INVERSION_HPP
#define TESTING_INVERSION_HPP
#include "utility.hpp"
#include <rocalution/rocalution.hpp>
using namespace rocalution;
static bool check_residual(float res)
{
return (res < 1e-3f);
}
static bool check_residual(double res)
{
return (res < 1e-6);
}
template <typename T>
bool testing_inversion(Arguments argus)
{
int ndim = argus.size;
unsigned int format = argus.format;
std::string matrix_type = argus.matrix_type;
// Initialize rocALUTION platform
set_device_rocalution(device);
init_rocalution();
// rocALUTION structures
LocalMatrix<T> A;
LocalVector<T> x;
LocalVector<T> b;
LocalVector<T> e;
// Generate A
int* csr_ptr = NULL;
int* csr_col = NULL;
T* csr_val = NULL;
int nrow = 0;
int ncol = 0;
if(matrix_type == "Laplacian2D")
{
nrow = gen_2d_laplacian(ndim, &csr_ptr, &csr_col, &csr_val);
ncol = nrow;
}
else if(matrix_type == "PermutedIdentity")
{
nrow = gen_permuted_identity(ndim, &csr_ptr, &csr_col, &csr_val);
ncol = nrow;
}
else
{
return false;
}
int nnz = csr_ptr[nrow];
A.SetDataPtrCSR(&csr_ptr, &csr_col, &csr_val, "A", nnz, nrow, nrow);
// Move data to 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
Inversion<LocalMatrix<T>, LocalVector<T>, T> dls;
dls.Verbose(0);
dls.SetOperator(A);
dls.Build();
// Matrix format
A.ConvertTo(format, format == BCSR ? 3 : 1);
dls.Solve(b, &x);
// Verify solution
x.ScaleAdd(-1.0, e);
T nrm2 = x.Norm();
bool success = check_residual(nrm2);
// Clean up
dls.Clear();
// Stop rocALUTION platform
stop_rocalution();
return success;
}
#endif // TESTING_INVERSION_HPP
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