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cgsolve.cu
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////////////////////////////////////////////////////////////////////////////////
// BSD 3-Clause License
//
// Copyright (c) 2021, NVIDIA Corporation
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// 1. Redistributions of source code must retain the above copyright notice, this
// list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// 3. Neither the name of the copyright holder nor the names of its
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
// FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
// DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
// SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
// CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
// OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
/////////////////////////////////////////////////////////////////////////////////
#include <cassert>
#include <cstdio>
#include <math.h>
#include <memory>
#include "matx.h"
using namespace matx;
int main([[maybe_unused]] int argc, [[maybe_unused]] char **argv)
{
using TypeParam = double;
MATX_ENTER_HANDLER();
int max_iters=100;
int N = 120;
int BATCH = 900;
auto A = make_tensor<TypeParam, 3> ({BATCH, N, N});
auto X = make_tensor<TypeParam, 2> ({BATCH, N});
auto B = make_tensor<TypeParam, 2> ({BATCH, N});
auto Bout = make_tensor<TypeParam, 2> ({BATCH, N});
auto norm = make_tensor<TypeParam, 1>({BATCH});
auto maxn = make_tensor<TypeParam>({});
cudaExecutor exec{};
// Simple Poisson matrix
for(int b = 0; b < BATCH; b++) {
for(int i = 0; i < N; i++) {
B(b,i) = TypeParam(1+b);
for(int j = 0; j < N; j++) {
if(i==j)
A(b,i,j) = 2;
else if( i == j-1)
A(b,i,j) = -1;
else if (i == j+1)
A(b,i,j) = -1;
else
A(b,i,j) = 0;
}
}
}
(X = TypeParam(1)).run(exec);
(X = cgsolve(A, B, .0001, max_iters)).run(exec);
// example-begin sync-test-1
(Bout = matvec(A, X)).run(exec);
(norm = sum((Bout-B)*(Bout-B))).run(exec);
(maxn = matx::max(sqrt(norm))).run(exec);
exec.sync();
// example-end sync-test-1
printf ("max l2 norm: %f\n", (float)sqrt(maxn()));
MATX_CUDA_CHECK_LAST_ERROR();
MATX_EXIT_HANDLER();
}