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[Sparse] Added regression tests for the two bugfixes, the code passes all sparse_product tests
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@ -169,14 +169,31 @@ class SparseTimeDenseProduct
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enum { LhsIsRowMajor = (_Lhs::Flags&RowMajorBit)==RowMajorBit };
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enum { LhsIsRowMajor = (_Lhs::Flags&RowMajorBit)==RowMajorBit };
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for(Index j=0; j<m_lhs.outerSize(); ++j)
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for(Index j=0; j<m_lhs.outerSize(); ++j)
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{
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{
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typename Rhs::Scalar rhs_j = alpha * m_rhs.coeff(j,0);
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if(LhsIsRowMajor)
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Block<Dest,1,Dest::ColsAtCompileTime> dest_j(dest.row(LhsIsRowMajor ? j : 0));
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{
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for(LhsInnerIterator it(m_lhs,j); it ;++it)
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// Block<Dest,1,Dest::ColsAtCompileTime> dest_j(dest.row(LhsIsRowMajor ? j : 0)); // this does not work in all cases. Why?
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{
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Block<Dest,1,Dest::ColsAtCompileTime> dest_j(dest, LhsIsRowMajor ? j : 0);
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if(LhsIsRowMajor) dest_j += (alpha*it.value()) * m_rhs.row(it.index());
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for(LhsInnerIterator it(m_lhs,j); it ;++it)
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else if(Rhs::ColsAtCompileTime==1) dest.coeffRef(it.index()) += it.value() * rhs_j;
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{
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else dest.row(it.index()) += (alpha*it.value()) * m_rhs.row(j);
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dest_j += (alpha*it.value()) * m_rhs.row(it.index());
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}
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}
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}
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else if(Rhs::ColsAtCompileTime==1)
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{
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typename Rhs::Scalar rhs_j = alpha * m_rhs.coeff(j,0);
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for(LhsInnerIterator it(m_lhs,j); it ;++it)
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{
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dest.coeffRef(it.index()) += it.value() * rhs_j;
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}
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}
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else
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{
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for(LhsInnerIterator it(m_lhs,j); it ;++it)
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{
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dest.row(it.index()) += (alpha*it.value()) * m_rhs.row(j);
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}
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}
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}
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}
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}
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}
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@ -187,8 +204,8 @@ class SparseTimeDenseProduct
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// dense = dense * sparse
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// dense = dense * sparse
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namespace internal {
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namespace internal {
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template<typename Lhs, typename Rhs>
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template<typename Lhs, typename Rhs>
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struct traits<DenseTimeSparseProduct<Lhs,Rhs> >
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struct traits<DenseTimeSparseProduct<Lhs,Rhs> >
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: traits<ProductBase<DenseTimeSparseProduct<Lhs,Rhs>, Lhs, Rhs> >
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: traits<ProductBase<DenseTimeSparseProduct<Lhs,Rhs>, Lhs, Rhs> >
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{
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{
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typedef Dense StorageKind;
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typedef Dense StorageKind;
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@ -137,6 +137,31 @@ template<typename SparseMatrixType> void sparse_product(const SparseMatrixType&
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}
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}
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}
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}
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// New test for Bug in SparseTimeDenseProduct
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template<typename SparseMatrixType, typename DenseMatrixType> void sparse_product_regression_test()
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{
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// This code does not compile with afflicted versions of the bug
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/* SparseMatrixType sm1(3,2);
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DenseMatrixType m2(2,2);
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sm1.setZero();
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m2.setZero();
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DenseMatrixType m3 = sm1*m2;
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*/
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// This code produces a segfault with afflicted versions of another SparseTimeDenseProduct
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// bug
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SparseMatrixType sm2(20000,2);
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DenseMatrixType m3(2,2);
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sm2.setZero();
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m3.setZero();
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DenseMatrixType m4(sm2*m3);
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VERIFY_IS_APPROX( m4(0,0), 0.0 );
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}
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void test_sparse_product()
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void test_sparse_product()
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{
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{
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for(int i = 0; i < g_repeat; i++) {
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for(int i = 0; i < g_repeat; i++) {
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@ -145,5 +170,7 @@ void test_sparse_product()
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CALL_SUBTEST_1( sparse_product(SparseMatrix<double>(33, 33)) );
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CALL_SUBTEST_1( sparse_product(SparseMatrix<double>(33, 33)) );
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CALL_SUBTEST_3( sparse_product(DynamicSparseMatrix<double>(8, 8)) );
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CALL_SUBTEST_3( sparse_product(DynamicSparseMatrix<double>(8, 8)) );
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CALL_SUBTEST_4( (sparse_product_regression_test<SparseMatrix<double,RowMajor>, Matrix<double, Dynamic, Dynamic, RowMajor> >()) );
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}
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}
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}
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}
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