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Big 279: enable mixing types for comparisons, min, and max.
This commit is contained in:
Gael Guennebaud
parent
2c462f4201
commit
2e238bafb6
@ -425,7 +425,7 @@ template<typename Derived>
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EIGEN_STRONG_INLINE typename internal::traits<Derived>::Scalar
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DenseBase<Derived>::minCoeff() const
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{
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return derived().redux(Eigen::internal::scalar_min_op<Scalar>());
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return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar>());
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}
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/** \returns the maximum of all coefficients of \c *this.
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@ -435,7 +435,7 @@ template<typename Derived>
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EIGEN_STRONG_INLINE typename internal::traits<Derived>::Scalar
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DenseBase<Derived>::maxCoeff() const
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{
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return derived().redux(Eigen::internal::scalar_max_op<Scalar>());
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return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
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}
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/** \returns the sum of all coefficients of \c *this
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@ -111,21 +111,22 @@ struct functor_traits<scalar_conj_product_op<LhsScalar,RhsScalar> > {
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*
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* \sa class CwiseBinaryOp, MatrixBase::cwiseMin, class VectorwiseOp, MatrixBase::minCoeff()
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*/
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template<typename Scalar> struct scalar_min_op {
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template<typename LhsScalar,typename RhsScalar> struct scalar_min_op {
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typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_min_op>::ReturnType result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_min_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b) const { return numext::mini(a, b); }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return numext::mini(a, b); }
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template<typename Packet>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
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{ return internal::pmin(a,b); }
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template<typename Packet>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar predux(const Packet& a) const
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type predux(const Packet& a) const
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{ return internal::predux_min(a); }
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};
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template<typename Scalar>
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struct functor_traits<scalar_min_op<Scalar> > {
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template<typename LhsScalar,typename RhsScalar>
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struct functor_traits<scalar_min_op<LhsScalar,RhsScalar> > {
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enum {
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Cost = NumTraits<Scalar>::AddCost,
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PacketAccess = packet_traits<Scalar>::HasMin
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Cost = (NumTraits<LhsScalar>::AddCost+NumTraits<RhsScalar>::AddCost)/2,
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PacketAccess = internal::is_same<LhsScalar, RhsScalar>::value && packet_traits<LhsScalar>::HasMin
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};
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};
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@ -134,21 +135,22 @@ struct functor_traits<scalar_min_op<Scalar> > {
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*
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* \sa class CwiseBinaryOp, MatrixBase::cwiseMax, class VectorwiseOp, MatrixBase::maxCoeff()
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*/
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template<typename Scalar> struct scalar_max_op {
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template<typename LhsScalar,typename RhsScalar> struct scalar_max_op {
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typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_max_op>::ReturnType result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_max_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b) const { return numext::maxi(a, b); }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return numext::maxi(a, b); }
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template<typename Packet>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
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{ return internal::pmax(a,b); }
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template<typename Packet>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar predux(const Packet& a) const
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type predux(const Packet& a) const
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{ return internal::predux_max(a); }
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};
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template<typename Scalar>
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struct functor_traits<scalar_max_op<Scalar> > {
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template<typename LhsScalar,typename RhsScalar>
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struct functor_traits<scalar_max_op<LhsScalar,RhsScalar> > {
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enum {
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Cost = NumTraits<Scalar>::AddCost,
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PacketAccess = packet_traits<Scalar>::HasMax
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Cost = (NumTraits<LhsScalar>::AddCost+NumTraits<RhsScalar>::AddCost)/2,
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PacketAccess = internal::is_same<LhsScalar, RhsScalar>::value && packet_traits<LhsScalar>::HasMax
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};
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};
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@ -156,56 +158,56 @@ struct functor_traits<scalar_max_op<Scalar> > {
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* \brief Template functors for comparison of two scalars
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* \todo Implement packet-comparisons
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*/
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template<typename Scalar, ComparisonName cmp> struct scalar_cmp_op;
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template<typename LhsScalar, typename RhsScalar, ComparisonName cmp> struct scalar_cmp_op;
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template<typename Scalar, ComparisonName cmp>
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struct functor_traits<scalar_cmp_op<Scalar, cmp> > {
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template<typename LhsScalar, typename RhsScalar, ComparisonName cmp>
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struct functor_traits<scalar_cmp_op<LhsScalar,RhsScalar, cmp> > {
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enum {
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Cost = NumTraits<Scalar>::AddCost,
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Cost = (NumTraits<LhsScalar>::AddCost+NumTraits<RhsScalar>::AddCost)/2,
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PacketAccess = false
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};
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};
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template<ComparisonName Cmp, typename Scalar>
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struct result_of<scalar_cmp_op<Scalar, Cmp>(Scalar,Scalar)> {
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template<ComparisonName Cmp, typename LhsScalar, typename RhsScalar>
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struct result_of<scalar_cmp_op<LhsScalar, RhsScalar, Cmp>(LhsScalar,RhsScalar)> {
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typedef bool type;
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};
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template<typename Scalar> struct scalar_cmp_op<Scalar, cmp_EQ> {
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template<typename LhsScalar, typename RhsScalar> struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_EQ> {
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typedef bool result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const Scalar& a, const Scalar& b) const {return a==b;}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a==b;}
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};
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template<typename Scalar> struct scalar_cmp_op<Scalar, cmp_LT> {
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template<typename LhsScalar, typename RhsScalar> struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_LT> {
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typedef bool result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const Scalar& a, const Scalar& b) const {return a<b;}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a<b;}
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};
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template<typename Scalar> struct scalar_cmp_op<Scalar, cmp_LE> {
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template<typename LhsScalar, typename RhsScalar> struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_LE> {
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typedef bool result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const Scalar& a, const Scalar& b) const {return a<=b;}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a<=b;}
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};
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template<typename Scalar> struct scalar_cmp_op<Scalar, cmp_GT> {
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template<typename LhsScalar, typename RhsScalar> struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_GT> {
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typedef bool result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const Scalar& a, const Scalar& b) const {return a>b;}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a>b;}
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};
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template<typename Scalar> struct scalar_cmp_op<Scalar, cmp_GE> {
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template<typename LhsScalar, typename RhsScalar> struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_GE> {
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typedef bool result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const Scalar& a, const Scalar& b) const {return a>=b;}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a>=b;}
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};
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template<typename Scalar> struct scalar_cmp_op<Scalar, cmp_UNORD> {
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template<typename LhsScalar, typename RhsScalar> struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_UNORD> {
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typedef bool result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const Scalar& a, const Scalar& b) const {return !(a<=b || b<=a);}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return !(a<=b || b<=a);}
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};
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template<typename Scalar> struct scalar_cmp_op<Scalar, cmp_NEQ> {
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template<typename LhsScalar, typename RhsScalar> struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_NEQ> {
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typedef bool result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const Scalar& a, const Scalar& b) const {return a!=b;}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a!=b;}
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};
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@ -214,7 +216,7 @@ template<typename Scalar> struct scalar_cmp_op<Scalar, cmp_NEQ> {
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*
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* \sa MatrixBase::stableNorm(), class Redux
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*/
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template<typename Scalar> struct scalar_hypot_op {
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template<typename Scalar> struct scalar_hypot_op<Scalar,Scalar> {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_hypot_op)
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// typedef typename NumTraits<Scalar>::Real result_type;
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& _x, const Scalar& _y) const
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@ -235,7 +237,7 @@ template<typename Scalar> struct scalar_hypot_op {
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}
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};
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template<typename Scalar>
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struct functor_traits<scalar_hypot_op<Scalar> > {
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struct functor_traits<scalar_hypot_op<Scalar,Scalar> > {
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enum
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{
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Cost = 3 * NumTraits<Scalar>::AddCost +
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@ -179,6 +179,8 @@ template<typename LhsScalar, typename RhsScalar, bool ConjLhs=false, bool ConjRh
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template<typename LhsScalar,typename RhsScalar> struct scalar_sum_op;
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template<typename LhsScalar,typename RhsScalar> struct scalar_difference_op;
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template<typename LhsScalar,typename RhsScalar> struct scalar_conj_product_op;
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template<typename LhsScalar,typename RhsScalar> struct scalar_min_op;
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template<typename LhsScalar,typename RhsScalar> struct scalar_max_op;
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template<typename Scalar> struct scalar_opposite_op;
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template<typename Scalar> struct scalar_conjugate_op;
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template<typename Scalar> struct scalar_real_op;
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@ -201,8 +203,6 @@ template<typename Scalar> struct scalar_cube_op;
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template<typename Scalar, typename NewType> struct scalar_cast_op;
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template<typename Scalar> struct scalar_multiple_op;
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template<typename Scalar> struct scalar_quotient1_op;
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template<typename Scalar> struct scalar_min_op;
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template<typename Scalar> struct scalar_max_op;
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template<typename Scalar> struct scalar_random_op;
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template<typename Scalar> struct scalar_add_op;
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template<typename Scalar> struct scalar_constant_op;
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@ -212,9 +212,10 @@ template<typename Scalar> struct scalar_igamma_op;
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template<typename Scalar> struct scalar_igammac_op;
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template<typename Scalar> struct scalar_betainc_op;
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template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_hypot_op;
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template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_product_op;
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template<typename LhsScalar,typename RhsScalar> struct scalar_multiple2_op;
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template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_quotient_op;
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template<typename LhsScalar,typename RhsScalar> struct scalar_multiple2_op;
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template<typename LhsScalar,typename RhsScalar> struct scalar_quotient2_op;
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} // end namespace internal
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@ -876,15 +876,7 @@ namespace Eigen {
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#define EIGEN_IMPLIES(a,b) (!(a) || (b))
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#define EIGEN_MAKE_CWISE_BINARY_OP(METHOD,FUNCTOR) \
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template<typename OtherDerived> \
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseBinaryOp<FUNCTOR<Scalar>, const Derived, const OtherDerived> \
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(METHOD)(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const \
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{ \
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return CwiseBinaryOp<FUNCTOR<Scalar>, const Derived, const OtherDerived>(derived(), other.derived()); \
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}
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// the expression type of a cwise product
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// the expression type of a standard coefficient wise binary operation
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#define EIGEN_CWISE_BINARY_RETURN_TYPE(LHS,RHS,OPNAME) \
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CwiseBinaryOp< \
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EIGEN_CAT(EIGEN_CAT(internal::scalar_,OPNAME),_op)< \
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@ -895,6 +887,14 @@ namespace Eigen {
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const RHS \
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>
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#define EIGEN_MAKE_CWISE_BINARY_OP(METHOD,OPNAME) \
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template<typename OtherDerived> \
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,OPNAME) \
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(METHOD)(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const \
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{ \
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return EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,OPNAME)(derived(), other.derived()); \
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}
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#ifdef EIGEN_EXCEPTIONS
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# define EIGEN_THROW_X(X) throw X
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# define EIGEN_THROW throw
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@ -327,13 +327,33 @@ GeneralizedEigenSolver<MatrixType>::compute(const MatrixType& A, const MatrixTyp
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}
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else
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{
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Scalar p = Scalar(0.5) * (m_matS.coeff(i, i) - m_matS.coeff(i+1, i+1));
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Scalar z = sqrt(abs(p * p + m_matS.coeff(i+1, i) * m_matS.coeff(i, i+1)));
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m_alphas.coeffRef(i) = ComplexScalar(m_matS.coeff(i+1, i+1) + p, z);
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m_alphas.coeffRef(i+1) = ComplexScalar(m_matS.coeff(i+1, i+1) + p, -z);
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// We need to extract the generalized eigenvalues of the pair of a general 2x2 block S and a triangular 2x2 block T
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// From the eigen decomposition of T = U * E * U^-1,
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// we can extract the eigenvalues of (U^-1 * S * U) / E
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// Here, we can take advantage that E = diag(T), and U = [ 1 T_01 ; 0 T_11-T_00], and U^-1 = [1 -T_11/(T_11-T_00) ; 0 1/(T_11-T_00)].
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// Then taking beta=T_00*T_11*(T_11-T_00), we can avoid any division, and alpha is the eigenvalues of A = (U^-1 * S * U) * diag(T_11,T_00) * (T_11-T_00):
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// T = [a b ; 0 c]
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// S = [e f ; g h]
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RealScalar a = m_realQZ.matrixT().coeff(i, i), b = m_realQZ.matrixT().coeff(i, i+1), c = m_realQZ.matrixT().coeff(i+1, i+1);
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RealScalar e = m_matS.coeff(i, i), f = m_matS.coeff(i, i+1), g = m_matS.coeff(i+1, i), h = m_matS.coeff(i+1, i+1);
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RealScalar d = c-a;
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RealScalar gb = g*b;
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Matrix<RealScalar,2,2> A;
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A << (e*d-gb)*c, ((e*b+f*d-h*b)*d-gb*b)*a,
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g*c , (gb+h*d)*a;
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// NOTE, we could also compute the SVD of T's block during the QZ factorization so that the respective T block is guaranteed to be diagonal,
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// and then we could directly apply the formula below (while taking care of scaling S columns by T11,T00):
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Scalar p = Scalar(0.5) * (A.coeff(i, i) - A.coeff(i+1, i+1));
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Scalar z = sqrt(abs(p * p + A.coeff(i+1, i) * A.coeff(i, i+1)));
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m_alphas.coeffRef(i) = ComplexScalar(A.coeff(i+1, i+1) + p, z);
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m_alphas.coeffRef(i+1) = ComplexScalar(A.coeff(i+1, i+1) + p, -z);
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m_betas.coeffRef(i) =
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m_betas.coeffRef(i+1) = a*c*d;
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m_betas.coeffRef(i) = m_realQZ.matrixT().coeff(i,i);
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m_betas.coeffRef(i+1) = m_realQZ.matrixT().coeff(i,i);
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i += 2;
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}
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}
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@ -29,14 +29,14 @@ operator/(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
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*
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* \sa max()
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*/
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EIGEN_MAKE_CWISE_BINARY_OP(min,internal::scalar_min_op)
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EIGEN_MAKE_CWISE_BINARY_OP(min,min)
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/** \returns an expression of the coefficient-wise min of \c *this and scalar \a other
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*
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* \sa max()
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*/
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar>, const Derived,
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived,
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const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject> >
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#ifdef EIGEN_PARSED_BY_DOXYGEN
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min
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@ -55,14 +55,14 @@ min
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*
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* \sa min()
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*/
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EIGEN_MAKE_CWISE_BINARY_OP(max,internal::scalar_max_op)
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EIGEN_MAKE_CWISE_BINARY_OP(max,max)
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/** \returns an expression of the coefficient-wise max of \c *this and scalar \a other
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*
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* \sa min()
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*/
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar>, const Derived,
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived,
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const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject> >
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#ifdef EIGEN_PARSED_BY_DOXYGEN
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max
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@ -95,13 +95,13 @@ pow(const ArrayBase<ExponentDerived>& exponents) const
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// TODO code generating macros could be moved to Macros.h and could include generation of documentation
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#define EIGEN_MAKE_CWISE_COMP_OP(OP, COMPARATOR) \
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template<typename OtherDerived> \
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_cmp_op<Scalar, internal::cmp_ ## COMPARATOR>, const Derived, const OtherDerived> \
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_cmp_op<Scalar, typename OtherDerived::Scalar, internal::cmp_ ## COMPARATOR>, const Derived, const OtherDerived> \
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OP(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const \
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{ \
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return CwiseBinaryOp<internal::scalar_cmp_op<Scalar, internal::cmp_ ## COMPARATOR>, const Derived, const OtherDerived>(derived(), other.derived()); \
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return CwiseBinaryOp<internal::scalar_cmp_op<Scalar, typename OtherDerived::Scalar, internal::cmp_ ## COMPARATOR>, const Derived, const OtherDerived>(derived(), other.derived()); \
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}\
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typedef CwiseBinaryOp<internal::scalar_cmp_op<Scalar, internal::cmp_ ## COMPARATOR>, const Derived, const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject> > Cmp ## COMPARATOR ## ReturnType; \
|
||||
typedef CwiseBinaryOp<internal::scalar_cmp_op<Scalar, internal::cmp_ ## COMPARATOR>, const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject>, const Derived > RCmp ## COMPARATOR ## ReturnType; \
|
||||
typedef CwiseBinaryOp<internal::scalar_cmp_op<Scalar,Scalar, internal::cmp_ ## COMPARATOR>, const Derived, const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject> > Cmp ## COMPARATOR ## ReturnType; \
|
||||
typedef CwiseBinaryOp<internal::scalar_cmp_op<Scalar,Scalar, internal::cmp_ ## COMPARATOR>, const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject>, const Derived > RCmp ## COMPARATOR ## ReturnType; \
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Cmp ## COMPARATOR ## ReturnType \
|
||||
OP(const Scalar& s) const { \
|
||||
return this->OP(Derived::PlainObject::Constant(rows(), cols(), s)); \
|
||||
@ -113,10 +113,10 @@ OP(const Scalar& s, const Derived& d) { \
|
||||
|
||||
#define EIGEN_MAKE_CWISE_COMP_R_OP(OP, R_OP, RCOMPARATOR) \
|
||||
template<typename OtherDerived> \
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_cmp_op<Scalar, internal::cmp_##RCOMPARATOR>, const OtherDerived, const Derived> \
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_cmp_op<typename OtherDerived::Scalar, Scalar, internal::cmp_##RCOMPARATOR>, const OtherDerived, const Derived> \
|
||||
OP(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const \
|
||||
{ \
|
||||
return CwiseBinaryOp<internal::scalar_cmp_op<Scalar, internal::cmp_##RCOMPARATOR>, const OtherDerived, const Derived>(other.derived(), derived()); \
|
||||
return CwiseBinaryOp<internal::scalar_cmp_op<typename OtherDerived::Scalar, Scalar, internal::cmp_##RCOMPARATOR>, const OtherDerived, const Derived>(other.derived(), derived()); \
|
||||
} \
|
||||
EIGEN_DEVICE_FUNC \
|
||||
inline const RCmp ## RCOMPARATOR ## ReturnType \
|
||||
|
||||
@ -16,13 +16,14 @@
|
||||
*
|
||||
* \sa class CwiseBinaryOp, operator-=()
|
||||
*/
|
||||
template<typename OtherDerived>
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE const EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,difference)
|
||||
operator-(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
|
||||
{
|
||||
return EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,difference)(derived(), other.derived());
|
||||
}
|
||||
EIGEN_MAKE_CWISE_BINARY_OP(operator-,difference)
|
||||
// template<typename OtherDerived>
|
||||
// EIGEN_DEVICE_FUNC
|
||||
// EIGEN_STRONG_INLINE const EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,difference)
|
||||
// operator-(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
|
||||
// {
|
||||
// return EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,difference)(derived(), other.derived());
|
||||
// }
|
||||
|
||||
/** \returns an expression of the sum of \c *this and \a other
|
||||
*
|
||||
@ -30,13 +31,14 @@ operator-(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
|
||||
*
|
||||
* \sa class CwiseBinaryOp, operator+=()
|
||||
*/
|
||||
template<typename OtherDerived>
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE const EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,sum)
|
||||
operator+(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
|
||||
{
|
||||
return EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,sum)(derived(), other.derived());
|
||||
}
|
||||
EIGEN_MAKE_CWISE_BINARY_OP(operator+,sum)
|
||||
// template<typename OtherDerived>
|
||||
// EIGEN_DEVICE_FUNC
|
||||
// EIGEN_STRONG_INLINE const EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,sum)
|
||||
// operator+(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
|
||||
// {
|
||||
// return EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,sum)(derived(), other.derived());
|
||||
// }
|
||||
|
||||
/** \returns an expression of a custom coefficient-wise operator \a func of *this and \a other
|
||||
*
|
||||
|
||||
@ -74,10 +74,10 @@ cwiseNotEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
|
||||
*/
|
||||
template<typename OtherDerived>
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar>, const Derived, const OtherDerived>
|
||||
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const OtherDerived>
|
||||
cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
|
||||
{
|
||||
return CwiseBinaryOp<internal::scalar_min_op<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
|
||||
return CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
|
||||
}
|
||||
|
||||
/** \returns an expression of the coefficient-wise min of *this and scalar \a other
|
||||
@ -85,7 +85,7 @@ cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
|
||||
* \sa class CwiseBinaryOp, min()
|
||||
*/
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar>, const Derived, const ConstantReturnType>
|
||||
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const ConstantReturnType>
|
||||
cwiseMin(const Scalar &other) const
|
||||
{
|
||||
return cwiseMin(Derived::Constant(rows(), cols(), other));
|
||||
@ -100,10 +100,10 @@ cwiseMin(const Scalar &other) const
|
||||
*/
|
||||
template<typename OtherDerived>
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar>, const Derived, const OtherDerived>
|
||||
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const OtherDerived>
|
||||
cwiseMax(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
|
||||
{
|
||||
return CwiseBinaryOp<internal::scalar_max_op<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
|
||||
return CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
|
||||
}
|
||||
|
||||
/** \returns an expression of the coefficient-wise max of *this and scalar \a other
|
||||
@ -111,7 +111,7 @@ cwiseMax(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
|
||||
* \sa class CwiseBinaryOp, min()
|
||||
*/
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar>, const Derived, const ConstantReturnType>
|
||||
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const ConstantReturnType>
|
||||
cwiseMax(const Scalar &other) const
|
||||
{
|
||||
return cwiseMax(Derived::Constant(rows(), cols(), other));
|
||||
@ -133,7 +133,7 @@ cwiseQuotient(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
|
||||
return CwiseBinaryOp<internal::scalar_quotient_op<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
|
||||
}
|
||||
|
||||
typedef CwiseBinaryOp<internal::scalar_cmp_op<Scalar,internal::cmp_EQ>, const Derived, const ConstantReturnType> CwiseScalarEqualReturnType;
|
||||
typedef CwiseBinaryOp<internal::scalar_cmp_op<Scalar,Scalar,internal::cmp_EQ>, const Derived, const ConstantReturnType> CwiseScalarEqualReturnType;
|
||||
|
||||
/** \returns an expression of the coefficient-wise == operator of \c *this and a scalar \a s
|
||||
*
|
||||
@ -148,5 +148,5 @@ EIGEN_DEVICE_FUNC
|
||||
inline const CwiseScalarEqualReturnType
|
||||
cwiseEqual(const Scalar& s) const
|
||||
{
|
||||
return CwiseScalarEqualReturnType(derived(), Derived::Constant(rows(), cols(), s), internal::scalar_cmp_op<Scalar,internal::cmp_EQ>());
|
||||
return CwiseScalarEqualReturnType(derived(), Derived::Constant(rows(), cols(), s), internal::scalar_cmp_op<Scalar,Scalar,internal::cmp_EQ>());
|
||||
}
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user