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#include <unittest/unittest.h>
#include <cusp/elementwise.h>
#include <cusp/coo_matrix.h>
#include <cusp/csr_matrix.h>
#include <cusp/dia_matrix.h>
#include <cusp/ell_matrix.h>
#include <cusp/hyb_matrix.h>
#include <cusp/gallery/poisson.h>
#include <cusp/gallery/random.h>
template <typename Vector>
void example_matrices(Vector& matrices)
{
cusp::array2d<float,cusp::host_memory> A(3,2);
A(0,0) = 1.0; A(0,1) = 2.0;
A(1,0) = 3.0; A(1,1) = 0.0;
A(2,0) = 5.0; A(2,1) = 6.0;
cusp::array2d<float,cusp::host_memory> B(2,4);
B(0,0) = 0.0; B(0,1) = 2.0; B(0,2) = 3.0; B(0,3) = 4.0;
B(1,0) = 5.0; B(1,1) = 0.0; B(1,2) = 0.0; B(1,3) = 8.0;
cusp::array2d<float,cusp::host_memory> C(2,2);
C(0,0) = 0.0; C(0,1) = 0.0;
C(1,0) = 3.0; C(1,1) = 5.0;
cusp::array2d<float,cusp::host_memory> D(2,1);
D(0,0) = 2.0;
D(1,0) = 3.0;
cusp::array2d<float,cusp::host_memory> E(2,2);
E(0,0) = 0.0; E(0,1) = 0.0;
E(1,0) = 0.0; E(1,1) = 0.0;
cusp::array2d<float,cusp::host_memory> F(3,2);
F(0,0) = 0.0; F(0,1) = 1.5;
F(1,0) = 0.5; F(1,1) = 0.0;
F(2,0) = 0.0; F(2,1) = 0.0;
cusp::array2d<float,cusp::host_memory> G;
cusp::gallery::poisson5pt(G, 4, 6);
cusp::array2d<float,cusp::host_memory> H;
cusp::gallery::poisson5pt(H, 8, 3);
cusp::array2d<float,cusp::host_memory> I;
cusp::gallery::random(24, 24, 150, I);
cusp::array2d<float,cusp::host_memory> J;
cusp::gallery::random(24, 24, 50, J);
cusp::array2d<float,cusp::host_memory> K;
cusp::gallery::random(24, 12, 20, K);
matrices.push_back(A);
matrices.push_back(B);
matrices.push_back(C);
matrices.push_back(D);
matrices.push_back(E);
matrices.push_back(F);
matrices.push_back(G);
matrices.push_back(H);
matrices.push_back(I);
matrices.push_back(J);
matrices.push_back(K);
}
template <typename SparseMatrix>
void TestAdd(void)
{
typedef cusp::array2d<float,cusp::host_memory> DenseMatrix;
//thrust::host_vector< DenseMatrix > matrices;
std::vector< DenseMatrix > matrices;
example_matrices(matrices);
// test add for every pair of compatible matrices
for(size_t i = 0; i < matrices.size(); i++)
{
for(size_t j = 0; j < matrices.size(); j++)
{
const DenseMatrix& A = matrices[i];
const DenseMatrix& B = matrices[j];
if (A.num_rows == B.num_rows && A.num_cols == B.num_cols)
{
DenseMatrix C;
cusp::add(A, B, C);
// test containers
SparseMatrix _A(A), _B(B), _C;
cusp::add(_A, _B, _C);
ASSERT_EQUAL(C == DenseMatrix(_C), true);
// test views
typename SparseMatrix::view _Aview(_A), _Bview(_B), _Cview(_C);
cusp::add(_Aview, _Bview, _C);
ASSERT_EQUAL(C == DenseMatrix(_Cview), true);
cusp::add(_Aview, _Bview, _Cview);
ASSERT_EQUAL(C == DenseMatrix(_Cview), true);
}
}
}
SparseMatrix A = DenseMatrix(2,2,1);
SparseMatrix B = DenseMatrix(2,3,1);
SparseMatrix C = DenseMatrix(3,2,1);
SparseMatrix D;
ASSERT_THROWS(cusp::add(A,B,D), cusp::invalid_input_exception);
ASSERT_THROWS(cusp::add(A,C,D), cusp::invalid_input_exception);
ASSERT_THROWS(cusp::add(B,C,D), cusp::invalid_input_exception);
}
DECLARE_SPARSE_MATRIX_UNITTEST(TestAdd);
template <typename SparseMatrix>
void TestSubtract(void)
{
typedef cusp::array2d<float,cusp::host_memory> DenseMatrix;
/*thrust::host_vector< DenseMatrix > matrices;*/
std::vector< DenseMatrix > matrices;
example_matrices(matrices);
// test add for every pair of compatible matrices
for(size_t i = 0; i < matrices.size(); i++)
{
for(size_t j = 0; j < matrices.size(); j++)
{
const DenseMatrix& A = matrices[i];
const DenseMatrix& B = matrices[j];
if (A.num_rows == B.num_rows && A.num_cols == B.num_cols)
{
DenseMatrix C;
cusp::subtract(A, B, C);
SparseMatrix _A(A), _B(B), _C;
cusp::subtract(_A, _B, _C);
ASSERT_EQUAL(C == DenseMatrix(_C), true);
}
}
}
SparseMatrix A = DenseMatrix(2,2,1);
SparseMatrix B = DenseMatrix(2,3,1);
SparseMatrix C = DenseMatrix(3,2,1);
SparseMatrix D;
ASSERT_THROWS(cusp::subtract(A,B,D), cusp::invalid_input_exception);
ASSERT_THROWS(cusp::subtract(A,C,D), cusp::invalid_input_exception);
ASSERT_THROWS(cusp::subtract(B,C,D), cusp::invalid_input_exception);
}
DECLARE_SPARSE_MATRIX_UNITTEST(TestSubtract);
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