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Fix sparse matrix times sparse vector.
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@ -28,6 +28,8 @@ static void conservative_sparse_sparse_product_impl(const Lhs& lhs, const Rhs& r
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ei_declare_aligned_stack_constructed_variable(bool, mask, rows, 0);
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ei_declare_aligned_stack_constructed_variable(Scalar, values, rows, 0);
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ei_declare_aligned_stack_constructed_variable(Index, indices, rows, 0);
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std::memset(mask,0,sizeof(bool)*rows);
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// estimate the number of non zero entries
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// given a rhs column containing Y non zeros, we assume that the respective Y columns
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@ -155,14 +157,14 @@ struct conservative_sparse_sparse_product_selector<Lhs,Rhs,ResultType,ColMajor,C
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{
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// perform sorted insertion
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internal::conservative_sparse_sparse_product_impl<Lhs,Rhs,ColMajorMatrix>(lhs, rhs, resCol, true);
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res.swap(resCol);
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res = resCol.markAsRValue();
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}
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else
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{
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// ressort to transpose to sort the entries
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internal::conservative_sparse_sparse_product_impl<Lhs,Rhs,ColMajorMatrix>(lhs, rhs, resCol, false);
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RowMajorMatrix resRow(resCol);
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res = resRow;
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res = resRow.markAsRValue();
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}
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}
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};
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@ -71,6 +71,7 @@ template<typename Scalar,typename Index> void sparse_vector(int rows, int cols)
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VERIFY_IS_APPROX(v1.dot(v2), refV1.dot(refV2));
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VERIFY_IS_APPROX(v1.dot(refV2), refV1.dot(refV2));
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VERIFY_IS_APPROX(m1*v2, refM1*refV2);
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VERIFY_IS_APPROX(v1.dot(m1*v2), refV1.dot(refM1*refV2));
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int i = internal::random<int>(0,rows-1);
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VERIFY_IS_APPROX(v1.dot(m1.col(i)), refV1.dot(refM1.col(i)));
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