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Fix nesting sub-expression in outer-products
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@ -218,12 +218,12 @@ template<typename Dst, typename Lhs, typename Rhs, typename Func>
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EIGEN_DONT_INLINE void outer_product_selector_run(Dst& dst, const Lhs &lhs, const Rhs &rhs, const Func& func, const false_type&)
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{
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evaluator<Rhs> rhsEval(rhs);
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// FIXME make sure lhs is sequentially stored
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typename nested_eval<Lhs,Rhs::SizeAtCompileTime>::type actual_lhs(lhs);
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// FIXME if cols is large enough, then it might be useful to make sure that lhs is sequentially stored
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// FIXME not very good if rhs is real and lhs complex while alpha is real too
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// FIXME we should probably build an evaluator for dst
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const Index cols = dst.cols();
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for (Index j=0; j<cols; ++j)
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func(dst.col(j), rhsEval.coeff(0,j) * lhs);
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func(dst.col(j), rhsEval.coeff(0,j) * actual_lhs);
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}
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// Row major result
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@ -231,12 +231,12 @@ template<typename Dst, typename Lhs, typename Rhs, typename Func>
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EIGEN_DONT_INLINE void outer_product_selector_run(Dst& dst, const Lhs &lhs, const Rhs &rhs, const Func& func, const true_type&)
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{
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evaluator<Lhs> lhsEval(lhs);
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// FIXME make sure rhs is sequentially stored
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typename nested_eval<Rhs,Lhs::SizeAtCompileTime>::type actual_rhs(rhs);
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// FIXME if rows is large enough, then it might be useful to make sure that rhs is sequentially stored
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// FIXME not very good if lhs is real and rhs complex while alpha is real too
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// FIXME we should probably build an evaluator for dst
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const Index rows = dst.rows();
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for (Index i=0; i<rows; ++i)
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func(dst.row(i), lhsEval.coeff(i,0) * rhs);
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func(dst.row(i), lhsEval.coeff(i,0) * actual_rhs);
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}
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template<typename Lhs, typename Rhs>
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@ -62,7 +62,7 @@ template<typename MatrixType> void product_notemporary(const MatrixType& m)
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VERIFY_EVALUATION_COUNT( m3.noalias() -= (s1 * m1).template triangularView<Lower>() * m2, 0);
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VERIFY_EVALUATION_COUNT( rm3.noalias() = (s1 * m1.adjoint()).template triangularView<Upper>() * (m2+m2), 1);
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VERIFY_EVALUATION_COUNT( rm3.noalias() = (s1 * m1.adjoint()).template triangularView<UnitUpper>() * m2.adjoint(), 0);
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VERIFY_EVALUATION_COUNT( m3.template triangularView<Upper>() = (m1 * m2.adjoint()), 0);
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VERIFY_EVALUATION_COUNT( m3.template triangularView<Upper>() -= (m1 * m2.adjoint()), 0);
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@ -112,6 +112,17 @@ template<typename MatrixType> void product_notemporary(const MatrixType& m)
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VERIFY_EVALUATION_COUNT( cvres.noalias() = (rm3+rm3) * cv1, 0 );
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VERIFY_EVALUATION_COUNT( cvres.noalias() = (m1+m1) * (m1*cv1), 1 );
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VERIFY_EVALUATION_COUNT( cvres.noalias() = (rm3+rm3) * (m1*cv1), 1 );
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// Check outer products
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m3 = cv1 * rv1;
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VERIFY_EVALUATION_COUNT( m3.noalias() = cv1 * rv1, 0 );
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VERIFY_EVALUATION_COUNT( m3.noalias() = (cv1+cv1) * (rv1+rv1), 1 );
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VERIFY_EVALUATION_COUNT( m3.noalias() = (m1*cv1) * (rv1), 1 );
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VERIFY_EVALUATION_COUNT( m3.noalias() += (m1*cv1) * (rv1), 1 );
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VERIFY_EVALUATION_COUNT( rm3.noalias() = (cv1) * (rv1 * m1), 1 );
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VERIFY_EVALUATION_COUNT( rm3.noalias() -= (cv1) * (rv1 * m1), 1 );
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VERIFY_EVALUATION_COUNT( rm3.noalias() = (m1*cv1) * (rv1 * m1), 2 );
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VERIFY_EVALUATION_COUNT( rm3.noalias() += (m1*cv1) * (rv1 * m1), 2 );
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}
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void test_product_notemporary()
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