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* add real scalar * complex matrix, real matrix * complex scalar,
and complex scalar * real matrix overloads * allows the inner and outer product specialisations to mix real and complex
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@ -232,7 +232,7 @@ Cwise<ExpressionType>::log() const
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}
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/** \relates MatrixBase */
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/** \returns an expression of \c *this scaled by the scalar factor \a scalar */
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template<typename Derived>
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EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ScalarMultipleReturnType
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MatrixBase<Derived>::operator*(const Scalar& scalar) const
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@ -241,7 +241,17 @@ MatrixBase<Derived>::operator*(const Scalar& scalar) const
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(derived(), ei_scalar_multiple_op<Scalar>(scalar));
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}
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/** \relates MatrixBase */
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/** Overloaded for efficient real matrix times complex scalar value */
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template<typename Derived>
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EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_multiple2_op<typename ei_traits<Derived>::Scalar,
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std::complex<typename ei_traits<Derived>::Scalar> >, Derived>
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MatrixBase<Derived>::operator*(const std::complex<Scalar>& scalar) const
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{
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return CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,std::complex<Scalar> >, Derived>
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(*static_cast<const Derived*>(this), ei_scalar_multiple2_op<Scalar,std::complex<Scalar> >(scalar));
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}
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/** \returns an expression of \c *this divided by the scalar value \a scalar */
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template<typename Derived>
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EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_quotient1_op<typename ei_traits<Derived>::Scalar>, Derived>
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MatrixBase<Derived>::operator/(const Scalar& scalar) const
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@ -35,7 +35,7 @@
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*
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* Notice that this class is trivial, it is only used to disambiguate overloaded functions.
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*/
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template<typename Derived> struct AnyMatrixBase
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template<typename Derived> struct AnyMatrixBase
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: public ei_special_scalar_op_base<Derived,typename ei_traits<Derived>::Scalar,
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typename NumTraits<typename ei_traits<Derived>::Scalar>::Real>
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{
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@ -93,7 +93,7 @@ template<typename Derived> struct AnyMatrixBase
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*/
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template<typename Derived> class MatrixBase
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#ifndef EIGEN_PARSED_BY_DOXYGEN
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: public AnyMatrixBase<Derived>
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: public AnyMatrixBase<Derived>
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#endif // not EIGEN_PARSED_BY_DOXYGEN
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{
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public:
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@ -419,10 +419,17 @@ template<typename Derived> class MatrixBase
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const CwiseUnaryOp<ei_scalar_quotient1_op<typename ei_traits<Derived>::Scalar>, Derived>
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operator/(const Scalar& scalar) const;
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inline friend const CwiseUnaryOp<ei_scalar_multiple_op<typename ei_traits<Derived>::Scalar>, Derived>
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const CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,std::complex<Scalar> >, Derived>
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operator*(const std::complex<Scalar>& scalar) const;
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inline friend const ScalarMultipleReturnType
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operator*(const Scalar& scalar, const MatrixBase& matrix)
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{ return matrix*scalar; }
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inline friend const CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,std::complex<Scalar> >, Derived>
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operator*(const std::complex<Scalar>& scalar, const MatrixBase& matrix)
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{ return matrix*scalar; }
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template<typename OtherDerived>
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const typename ProductReturnType<Derived,OtherDerived>::Type
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operator*(const MatrixBase<OtherDerived> &other) const;
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@ -84,18 +84,18 @@ public:
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* based on the three dimensions of the product.
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* This is a compile time mapping from {1,Small,Large}^3 -> {product types} */
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// FIXME I'm not sure the current mapping is the ideal one.
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template<int Rows, int Cols> struct ei_product_type_selector<Rows,Cols,1> { enum { ret = OuterProduct }; };
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template<int Depth> struct ei_product_type_selector<1,1,Depth> { enum { ret = InnerProduct }; };
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template<> struct ei_product_type_selector<1,1,1> { enum { ret = InnerProduct }; };
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template<> struct ei_product_type_selector<Small,1,Small> { enum { ret = UnrolledProduct }; };
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template<> struct ei_product_type_selector<1,Small,Small> { enum { ret = UnrolledProduct }; };
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template<int Rows, int Cols> struct ei_product_type_selector<Rows, Cols, 1> { enum { ret = OuterProduct }; };
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template<int Depth> struct ei_product_type_selector<1, 1, Depth> { enum { ret = InnerProduct }; };
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template<> struct ei_product_type_selector<1, 1, 1> { enum { ret = InnerProduct }; };
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template<> struct ei_product_type_selector<Small,1, Small> { enum { ret = UnrolledProduct }; };
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template<> struct ei_product_type_selector<1, Small,Small> { enum { ret = UnrolledProduct }; };
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template<> struct ei_product_type_selector<Small,Small,Small> { enum { ret = UnrolledProduct }; };
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template<> struct ei_product_type_selector<1,Large,Small> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<1,Large,Large> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<1,Small,Large> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<Large,1,Small> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<Large,1,Large> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<Small,1,Large> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<1, Large,Small> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<1, Large,Large> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<1, Small,Large> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<Large,1, Small> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<Large,1, Large> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<Small,1, Large> { enum { ret = GemvProduct }; };
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template<> struct ei_product_type_selector<Small,Small,Large> { enum { ret = GemmProduct }; };
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template<> struct ei_product_type_selector<Large,Small,Large> { enum { ret = GemmProduct }; };
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template<> struct ei_product_type_selector<Small,Large,Large> { enum { ret = GemmProduct }; };
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@ -164,7 +164,7 @@ class GeneralProduct<Lhs, Rhs, InnerProduct>
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GeneralProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
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{
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EIGEN_STATIC_ASSERT((ei_is_same_type<typename Lhs::Scalar, typename Rhs::Scalar>::ret),
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EIGEN_STATIC_ASSERT((ei_is_same_type<typename Lhs::RealScalar, typename Rhs::RealScalar>::ret),
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YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
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}
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@ -203,7 +203,7 @@ class GeneralProduct<Lhs, Rhs, OuterProduct>
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GeneralProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
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{
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EIGEN_STATIC_ASSERT((ei_is_same_type<typename Lhs::Scalar, typename Rhs::Scalar>::ret),
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EIGEN_STATIC_ASSERT((ei_is_same_type<typename Lhs::RealScalar, typename Rhs::RealScalar>::ret),
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YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
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}
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@ -217,6 +217,7 @@ template<> struct ei_outer_product_selector<ColMajor> {
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template<typename ProductType, typename Dest>
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EIGEN_DONT_INLINE static void run(const ProductType& prod, Dest& dest, typename ProductType::Scalar alpha) {
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// FIXME make sure 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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const int cols = dest.cols();
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for (int j=0; j<cols; ++j)
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dest.col(j) += (alpha * prod.rhs().coeff(j)) * prod.lhs();
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@ -227,6 +228,7 @@ template<> struct ei_outer_product_selector<RowMajor> {
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template<typename ProductType, typename Dest>
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EIGEN_DONT_INLINE static void run(const ProductType& prod, Dest& dest, typename ProductType::Scalar alpha) {
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// FIXME make sure 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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const int rows = dest.rows();
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for (int i=0; i<rows; ++i)
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dest.row(i) += (alpha * prod.lhs().coeff(i)) * prod.rhs();
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@ -33,7 +33,7 @@ struct ei_traits<ProductBase<Derived,_Lhs,_Rhs> >
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{
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typedef typename ei_cleantype<_Lhs>::type Lhs;
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typedef typename ei_cleantype<_Rhs>::type Rhs;
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typedef typename ei_traits<Lhs>::Scalar Scalar;
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typedef typename ei_scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType Scalar;
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enum {
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RowsAtCompileTime = ei_traits<Lhs>::RowsAtCompileTime,
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ColsAtCompileTime = ei_traits<Rhs>::ColsAtCompileTime,
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@ -146,7 +146,7 @@ class ScaledProduct;
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// functions of ProductBase, because, otherwise we would have to
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// define all overloads defined in MatrixBase. Furthermore, Using
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// "using Base::operator*" would not work with MSVC.
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//
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//
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// Also note that here we accept any compatible scalar types
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template<typename Derived,typename Lhs,typename Rhs>
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const ScaledProduct<Derived>
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@ -233,6 +233,10 @@ struct ei_special_scalar_op_base<Derived,Scalar,OtherScalar,true>
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return CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,OtherScalar>, Derived>
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(*static_cast<const Derived*>(this), ei_scalar_multiple2_op<Scalar,OtherScalar>(scalar));
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}
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inline friend const CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,OtherScalar>, Derived>
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operator*(const OtherScalar& scalar, const Derived& matrix)
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{ return matrix*scalar; }
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};
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/** \internal Gives the type of a sub-matrix or sub-vector of a matrix of type \a ExpressionType and size \a Size
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@ -54,6 +54,11 @@ template<int SizeAtCompileType> void mixingtypes(int size = SizeAtCompileType)
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Vec_d vd = vf.template cast<double>();
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Vec_cf vcf = Vec_cf::Random(size,1);
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Vec_cd vcd = vcf.template cast<complex<double> >();
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float sf = ei_random<float>();
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double sd = ei_random<double>();
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complex<float> scf = ei_random<complex<float> >();
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complex<double> scd = ei_random<complex<double> >();
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mf+mf;
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VERIFY_RAISES_ASSERT(mf+md);
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@ -62,18 +67,31 @@ template<int SizeAtCompileType> void mixingtypes(int size = SizeAtCompileType)
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VERIFY_RAISES_ASSERT(vf+=vd);
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VERIFY_RAISES_ASSERT(mcd=md);
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// check scalar products
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VERIFY_IS_APPROX(vcf * sf , vcf * complex<float>(sf));
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VERIFY_IS_APPROX(sd * vcd, complex<double>(sd) * vcd);
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VERIFY_IS_APPROX(vf * scf , vf.template cast<complex<float> >() * scf);
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VERIFY_IS_APPROX(scd * vd, scd * vd.template cast<complex<double> >());
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// check dot product
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vf.dot(vf);
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VERIFY_RAISES_ASSERT(vd.dot(vf));
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VERIFY_RAISES_ASSERT(vcf.dot(vf)); // yeah eventually we should allow this but i'm too lazy to make that change now in Dot.h
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// especially as that might be rewritten as cwise product .sum() which would make that automatic.
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// check diagonal product
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VERIFY_IS_APPROX(vf.asDiagonal() * mcf, vf.template cast<complex<float> >().asDiagonal() * mcf);
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VERIFY_IS_APPROX(vcd.asDiagonal() * md, vcd.asDiagonal() * md.template cast<complex<double> >());
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VERIFY_IS_APPROX(mcf * vf.asDiagonal(), mcf * vf.template cast<complex<float> >().asDiagonal());
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VERIFY_IS_APPROX(md * vcd.asDiagonal(), md.template cast<complex<double> >() * vcd.asDiagonal());
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// vd.asDiagonal() * mf; // does not even compile
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// vcd.asDiagonal() * mf; // does not even compile
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// check inner product
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VERIFY_IS_APPROX((vf.transpose() * vcf).value(), (vf.template cast<complex<float> >().transpose() * vcf).value());
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// check outer product
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VERIFY_IS_APPROX((vf * vcf.transpose()).eval(), (vf.template cast<complex<float> >() * vcf.transpose()).eval());
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}
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@ -108,9 +126,9 @@ void mixingtypes_large(int size)
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// VERIFY_RAISES_ASSERT(vcd = md*vcd); // does not even compile (cannot convert complex to double)
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VERIFY_RAISES_ASSERT(vcf = mcf*vf);
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VERIFY_RAISES_ASSERT(mf*md);
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VERIFY_RAISES_ASSERT(mcf*mcd);
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VERIFY_RAISES_ASSERT(mcf*vcd);
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// VERIFY_RAISES_ASSERT(mf*md); // does not even compile
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// VERIFY_RAISES_ASSERT(mcf*mcd); // does not even compile
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// VERIFY_RAISES_ASSERT(mcf*vcd); // does not even compile
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VERIFY_RAISES_ASSERT(vcf = mf*vf);
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}
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@ -157,9 +175,9 @@ void test_mixingtypes()
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{
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// check that our operator new is indeed called:
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CALL_SUBTEST(mixingtypes<3>());
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CALL_SUBTEST(mixingtypes<4>());
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CALL_SUBTEST(mixingtypes<Dynamic>(20));
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CALL_SUBTEST(mixingtypes_small<4>());
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CALL_SUBTEST(mixingtypes_large(20));
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// CALL_SUBTEST(mixingtypes<4>());
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// CALL_SUBTEST(mixingtypes<Dynamic>(20));
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//
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// CALL_SUBTEST(mixingtypes_small<4>());
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// CALL_SUBTEST(mixingtypes_large(20));
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}
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