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Diffstat (limited to 'third_party/eigen3/Eigen/src/Core/functors/BinaryFunctors.h')
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1 files changed, 498 insertions, 0 deletions
diff --git a/third_party/eigen3/Eigen/src/Core/functors/BinaryFunctors.h b/third_party/eigen3/Eigen/src/Core/functors/BinaryFunctors.h new file mode 100644 index 0000000000..d8ea058431 --- /dev/null +++ b/third_party/eigen3/Eigen/src/Core/functors/BinaryFunctors.h @@ -0,0 +1,498 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr> +// +// This Source Code Form is subject to the terms of the Mozilla +// Public License v. 2.0. If a copy of the MPL was not distributed +// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. + +#ifndef EIGEN_BINARY_FUNCTORS_H +#define EIGEN_BINARY_FUNCTORS_H + +// clang-format off + +namespace Eigen { + +namespace internal { + +//---------- associative binary functors ---------- + +/** \internal + * \brief Template functor to compute the sum of two scalars + * + * \sa class CwiseBinaryOp, MatrixBase::operator+, class VectorwiseOp, DenseBase::sum() + */ +template<typename Scalar> struct scalar_sum_op { +// typedef Scalar result_type; + EIGEN_EMPTY_STRUCT_CTOR(scalar_sum_op) + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b) const { return a + b; } + template<typename Packet> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const + { return internal::padd(a,b); } + template<typename Packet> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar predux(const Packet& a) const + { return internal::predux(a); } +}; +template<typename Scalar> +struct functor_traits<scalar_sum_op<Scalar> > { + enum { + Cost = NumTraits<Scalar>::AddCost, + PacketAccess = packet_traits<Scalar>::HasAdd + }; +}; + +/** \internal + * \brief Template specialization to deprecate the summation of boolean expressions. + * This is required to solve Bug 426. + * \sa DenseBase::count(), DenseBase::any(), ArrayBase::cast(), MatrixBase::cast() + */ +template<> struct scalar_sum_op<bool> : scalar_sum_op<int> { + EIGEN_DEPRECATED + scalar_sum_op() {} +}; + + +/** \internal + * \brief Template functor to compute the product of two scalars + * + * \sa class CwiseBinaryOp, Cwise::operator*(), class VectorwiseOp, MatrixBase::redux() + */ +template<typename LhsScalar,typename RhsScalar> struct scalar_product_op { + enum { + // TODO vectorize mixed product + Vectorizable = is_same<LhsScalar,RhsScalar>::value && packet_traits<LhsScalar>::HasMul && packet_traits<RhsScalar>::HasMul + }; + typedef typename scalar_product_traits<LhsScalar,RhsScalar>::ReturnType result_type; + EIGEN_EMPTY_STRUCT_CTOR(scalar_product_op) + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return a * b; } + template<typename Packet> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const + { return internal::pmul(a,b); } + template<typename Packet> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type predux(const Packet& a) const + { return internal::predux_mul(a); } +}; +template<typename LhsScalar,typename RhsScalar> +struct functor_traits<scalar_product_op<LhsScalar,RhsScalar> > { + enum { + Cost = (NumTraits<LhsScalar>::MulCost + NumTraits<RhsScalar>::MulCost)/2, // rough estimate! + PacketAccess = scalar_product_op<LhsScalar,RhsScalar>::Vectorizable + }; +}; + +/** \internal + * \brief Template functor to compute the conjugate product of two scalars + * + * This is a short cut for conj(x) * y which is needed for optimization purpose; in Eigen2 support mode, this becomes x * conj(y) + */ +template<typename LhsScalar,typename RhsScalar> struct scalar_conj_product_op { + + enum { + Conj = NumTraits<LhsScalar>::IsComplex + }; + + typedef typename scalar_product_traits<LhsScalar,RhsScalar>::ReturnType result_type; + + EIGEN_EMPTY_STRUCT_CTOR(scalar_conj_product_op) + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const + { return conj_helper<LhsScalar,RhsScalar,Conj,false>().pmul(a,b); } + + template<typename Packet> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const + { return conj_helper<Packet,Packet,Conj,false>().pmul(a,b); } +}; +template<typename LhsScalar,typename RhsScalar> +struct functor_traits<scalar_conj_product_op<LhsScalar,RhsScalar> > { + enum { + Cost = NumTraits<LhsScalar>::MulCost, + PacketAccess = internal::is_same<LhsScalar, RhsScalar>::value && packet_traits<LhsScalar>::HasMul + }; +}; + +/** \internal + * \brief Template functor to compute the min of two scalars + * + * \sa class CwiseBinaryOp, MatrixBase::cwiseMin, class VectorwiseOp, MatrixBase::minCoeff() + */ +template<typename Scalar> struct scalar_min_op { + EIGEN_EMPTY_STRUCT_CTOR(scalar_min_op) + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b) const { return numext::mini(a, b); } + template<typename Packet> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const + { return internal::pmin(a,b); } + template<typename Packet> + EIGEN_STRONG_INLINE const Scalar predux(const Packet& a) const + { return internal::predux_min(a); } +}; +template<typename Scalar> +struct functor_traits<scalar_min_op<Scalar> > { + enum { + Cost = NumTraits<Scalar>::AddCost, + PacketAccess = packet_traits<Scalar>::HasMin + }; +}; + +/** \internal + * \brief Template functor to compute the max of two scalars + * + * \sa class CwiseBinaryOp, MatrixBase::cwiseMax, class VectorwiseOp, MatrixBase::maxCoeff() + */ +template<typename Scalar> struct scalar_max_op { + EIGEN_EMPTY_STRUCT_CTOR(scalar_max_op) + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b) const { return numext::maxi(a, b); } + template<typename Packet> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const + { return internal::pmax(a,b); } + template<typename Packet> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar predux(const Packet& a) const + { return internal::predux_max(a); } +}; +template<typename Scalar> +struct functor_traits<scalar_max_op<Scalar> > { + enum { + Cost = NumTraits<Scalar>::AddCost, + PacketAccess = packet_traits<Scalar>::HasMax + }; +}; + +/** \internal + * \brief Template functor to compute the hypot of two scalars + * + * \sa MatrixBase::stableNorm(), class Redux + */ +template<typename Scalar> struct scalar_hypot_op { + EIGEN_EMPTY_STRUCT_CTOR(scalar_hypot_op) +// typedef typename NumTraits<Scalar>::Real result_type; + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& _x, const Scalar& _y) const + { + using std::sqrt; + Scalar p = numext::maxi(_x, _y); + Scalar q = numext::mini(_x, _y); + Scalar qp = q/p; + return p * sqrt(Scalar(1) + qp*qp); + } +}; +template<typename Scalar> +struct functor_traits<scalar_hypot_op<Scalar> > { + enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess=0 }; +}; + +/** \internal + * \brief Template functor to compute the pow of two scalars + */ +template<typename Scalar, typename OtherScalar> struct scalar_binary_pow_op { + EIGEN_EMPTY_STRUCT_CTOR(scalar_binary_pow_op) + EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a, const OtherScalar& b) const { return numext::pow(a, b); } +}; +template<typename Scalar, typename OtherScalar> +struct functor_traits<scalar_binary_pow_op<Scalar,OtherScalar> > { + enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false }; +}; + + + +//---------- non associative binary functors ---------- + +/** \internal + * \brief Template functor to compute the difference of two scalars + * + * \sa class CwiseBinaryOp, MatrixBase::operator- + */ +template<typename Scalar> struct scalar_difference_op { + EIGEN_EMPTY_STRUCT_CTOR(scalar_difference_op) + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b) const { return a - b; } + template<typename Packet> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const + { return internal::psub(a,b); } +}; +template<typename Scalar> +struct functor_traits<scalar_difference_op<Scalar> > { + enum { + Cost = NumTraits<Scalar>::AddCost, + PacketAccess = packet_traits<Scalar>::HasSub + }; +}; + +/** \internal + * \brief Template functor to compute the quotient of two scalars + * + * \sa class CwiseBinaryOp, Cwise::operator/() + */ +template<typename LhsScalar,typename RhsScalar> struct scalar_quotient_op { + enum { + // TODO vectorize mixed product + Vectorizable = is_same<LhsScalar,RhsScalar>::value && packet_traits<LhsScalar>::HasDiv && packet_traits<RhsScalar>::HasDiv + }; + typedef typename scalar_product_traits<LhsScalar,RhsScalar>::ReturnType result_type; + EIGEN_EMPTY_STRUCT_CTOR(scalar_quotient_op) + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return a / b; } + template<typename Packet> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const + { return internal::pdiv(a,b); } +}; +template<typename LhsScalar,typename RhsScalar> +struct functor_traits<scalar_quotient_op<LhsScalar,RhsScalar> > { + enum { + Cost = (NumTraits<LhsScalar>::MulCost + NumTraits<RhsScalar>::MulCost), // rough estimate! + PacketAccess = scalar_quotient_op<LhsScalar,RhsScalar>::Vectorizable + }; +}; + + + +/** \internal + * \brief Template functor to compute the and of two booleans + * + * \sa class CwiseBinaryOp, ArrayBase::operator&& + */ +struct scalar_boolean_and_op { + EIGEN_EMPTY_STRUCT_CTOR(scalar_boolean_and_op) + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator() (const bool& a, const bool& b) const { return a && b; } +}; +template<> struct functor_traits<scalar_boolean_and_op> { + enum { + Cost = NumTraits<bool>::AddCost, + PacketAccess = false + }; +}; + +/** \internal + * \brief Template functor to compute the or of two booleans + * + * \sa class CwiseBinaryOp, ArrayBase::operator|| + */ +struct scalar_boolean_or_op { + EIGEN_EMPTY_STRUCT_CTOR(scalar_boolean_or_op) + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator() (const bool& a, const bool& b) const { return a || b; } +}; +template<> struct functor_traits<scalar_boolean_or_op> { + enum { + Cost = NumTraits<bool>::AddCost, + PacketAccess = false + }; +}; + +/** \internal + * \brief Template functor to compute the xor of two booleans + * + * \sa class CwiseBinaryOp, ArrayBase::operator^ + */ +struct scalar_boolean_xor_op { + EIGEN_EMPTY_STRUCT_CTOR(scalar_boolean_xor_op) + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator() (const bool& a, const bool& b) const { return a ^ b; } +}; +template<> struct functor_traits<scalar_boolean_xor_op> { + enum { + Cost = NumTraits<bool>::AddCost, + PacketAccess = false + }; +}; + + + +//---------- binary functors bound to a constant, thus appearing as a unary functor ---------- + +/** \internal + * \brief Template functor to multiply a scalar by a fixed other one + * + * \sa class CwiseUnaryOp, MatrixBase::operator*, MatrixBase::operator/ + */ +/* NOTE why doing the pset1() in packetOp *is* an optimization ? + * indeed it seems better to declare m_other as a Packet and do the pset1() once + * in the constructor. However, in practice: + * - GCC does not like m_other as a Packet and generate a load every time it needs it + * - on the other hand GCC is able to moves the pset1() outside the loop :) + * - simpler code ;) + * (ICC and gcc 4.4 seems to perform well in both cases, the issue is visible with y = a*x + b*y) + */ +template<typename Scalar> +struct scalar_multiple_op { + typedef typename packet_traits<Scalar>::type Packet; + // FIXME default copy constructors seems bugged with std::complex<> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_multiple_op(const scalar_multiple_op& other) : m_other(other.m_other) { } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_multiple_op(const Scalar& other) : m_other(other) { } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator() (const Scalar& a) const { return a * m_other; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const + { return internal::pmul(a, pset1<Packet>(m_other)); } + typename add_const_on_value_type<typename NumTraits<Scalar>::Nested>::type m_other; +}; +template<typename Scalar> +struct functor_traits<scalar_multiple_op<Scalar> > +{ enum { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasMul }; }; + +template<typename Scalar1, typename Scalar2> +struct scalar_multiple2_op { + typedef typename packet_traits<Scalar1>::type Packet1; + typedef typename scalar_product_traits<Scalar1,Scalar2>::ReturnType result_type; + typedef typename packet_traits<result_type>::type packet_result_type; + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_multiple2_op(const scalar_multiple2_op& other) : m_other(other.m_other) { } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_multiple2_op(const Scalar2& other) : m_other(other) { } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator() (const Scalar1& a) const { return a * m_other; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const packet_result_type packetOp(const Packet1& a) const + { eigen_assert("packetOp is not defined"); } + typename add_const_on_value_type<typename NumTraits<Scalar2>::Nested>::type m_other; +}; +template<typename Scalar1,typename Scalar2> +struct functor_traits<scalar_multiple2_op<Scalar1,Scalar2> > +{ enum { Cost = NumTraits<Scalar1>::MulCost, PacketAccess = false }; }; + +/** \internal + * \brief Template functor to divide a scalar by a fixed other one + * + * This functor is used to implement the quotient of a matrix by + * a scalar where the scalar type is not necessarily a floating point type. + * + * \sa class CwiseUnaryOp, MatrixBase::operator/ + */ +template<typename Scalar> +struct scalar_quotient1_op { + typedef typename packet_traits<Scalar>::type Packet; + // FIXME default copy constructors seems bugged with std::complex<> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_quotient1_op(const scalar_quotient1_op& other) : m_other(other.m_other) { } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_quotient1_op(const Scalar& other) : m_other(other) {} + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator() (const Scalar& a) const { return a / m_other; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const + { return internal::pdiv(a, pset1<Packet>(m_other)); } + typename add_const_on_value_type<typename NumTraits<Scalar>::Nested>::type m_other; +}; +template<typename Scalar> +struct functor_traits<scalar_quotient1_op<Scalar> > +{ enum { Cost = 2 * NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasDiv }; }; + +// In Eigen, any binary op (Product, CwiseBinaryOp) require the Lhs and Rhs to have the same scalar type, except for multiplication +// where the mixing of different types is handled by scalar_product_traits +// In particular, real * complex<real> is allowed. +// FIXME move this to functor_traits adding a functor_default +template<typename Functor> struct functor_is_product_like { enum { ret = 0 }; }; +template<typename LhsScalar,typename RhsScalar> struct functor_is_product_like<scalar_product_op<LhsScalar,RhsScalar> > { enum { ret = 1 }; }; +template<typename LhsScalar,typename RhsScalar> struct functor_is_product_like<scalar_conj_product_op<LhsScalar,RhsScalar> > { enum { ret = 1 }; }; +template<typename LhsScalar,typename RhsScalar> struct functor_is_product_like<scalar_quotient_op<LhsScalar,RhsScalar> > { enum { ret = 1 }; }; + + +/** \internal + * \brief Template functor to add a scalar to a fixed other one + * \sa class CwiseUnaryOp, Array::operator+ + */ +/* If you wonder why doing the pset1() in packetOp() is an optimization check scalar_multiple_op */ +template<typename Scalar> +struct scalar_add_op { + typedef typename packet_traits<Scalar>::type Packet; + // FIXME default copy constructors seems bugged with std::complex<> + EIGEN_DEVICE_FUNC inline scalar_add_op(const scalar_add_op& other) : m_other(other.m_other) { } + EIGEN_DEVICE_FUNC inline scalar_add_op(const Scalar& other) : m_other(other) { } + EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return a + m_other; } + EIGEN_DEVICE_FUNC inline const Packet packetOp(const Packet& a) const + { return internal::padd(a, pset1<Packet>(m_other)); } + const Scalar m_other; +}; +template<typename Scalar> +struct functor_traits<scalar_add_op<Scalar> > +{ enum { Cost = NumTraits<Scalar>::AddCost, PacketAccess = packet_traits<Scalar>::HasAdd }; }; + +/** \internal + * \brief Template functor to subtract a fixed scalar to another one + * \sa class CwiseUnaryOp, Array::operator-, struct scalar_add_op, struct scalar_rsub_op + */ +template<typename Scalar> +struct scalar_sub_op { + typedef typename packet_traits<Scalar>::type Packet; + EIGEN_DEVICE_FUNC inline scalar_sub_op(const scalar_sub_op& other) : m_other(other.m_other) { } + EIGEN_DEVICE_FUNC inline scalar_sub_op(const Scalar& other) : m_other(other) { } + EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return a - m_other; } + EIGEN_DEVICE_FUNC inline const Packet packetOp(const Packet& a) const + { return internal::psub(a, pset1<Packet>(m_other)); } + const Scalar m_other; +}; +template<typename Scalar> +struct functor_traits<scalar_sub_op<Scalar> > +{ enum { Cost = NumTraits<Scalar>::AddCost, PacketAccess = packet_traits<Scalar>::HasAdd }; }; + +/** \internal + * \brief Template functor to subtract a scalar to fixed another one + * \sa class CwiseUnaryOp, Array::operator-, struct scalar_add_op, struct scalar_sub_op + */ +template<typename Scalar> +struct scalar_rsub_op { + typedef typename packet_traits<Scalar>::type Packet; + EIGEN_DEVICE_FUNC inline scalar_rsub_op(const scalar_rsub_op& other) : m_other(other.m_other) { } + EIGEN_DEVICE_FUNC inline scalar_rsub_op(const Scalar& other) : m_other(other) { } + EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return m_other - a; } + EIGEN_DEVICE_FUNC inline const Packet packetOp(const Packet& a) const + { return internal::psub(pset1<Packet>(m_other), a); } + const Scalar m_other; +}; +template<typename Scalar> +struct functor_traits<scalar_rsub_op<Scalar> > +{ enum { Cost = NumTraits<Scalar>::AddCost, PacketAccess = packet_traits<Scalar>::HasAdd }; }; + +/** \internal + * \brief Template functor to raise a scalar to a power + * \sa class CwiseUnaryOp, Cwise::pow + */ +template<typename Scalar> +struct scalar_pow_op { + // FIXME default copy constructors seems bugged with std::complex<> + EIGEN_DEVICE_FUNC inline scalar_pow_op(const scalar_pow_op& other) : m_exponent(other.m_exponent) { } + EIGEN_DEVICE_FUNC inline scalar_pow_op(const Scalar& exponent) : m_exponent(exponent) {} + EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return numext::pow(a, m_exponent); } + const Scalar m_exponent; +}; +template<typename Scalar> +struct functor_traits<scalar_pow_op<Scalar> > +{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false }; }; + +/** \internal + * \brief Template functor to compute the quotient between a scalar and array entries. + * \sa class CwiseUnaryOp, Cwise::inverse() + */ +template<typename Scalar> +struct scalar_inverse_mult_op { + EIGEN_DEVICE_FUNC scalar_inverse_mult_op(const Scalar& other) : m_other(other) {} + EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return m_other / a; } + template<typename Packet> + EIGEN_DEVICE_FUNC inline const Packet packetOp(const Packet& a) const + { return internal::pdiv(pset1<Packet>(m_other),a); } + Scalar m_other; +}; +template<typename Scalar> +struct functor_traits<scalar_inverse_mult_op<Scalar> > +{ enum { Cost = 2 * NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasDiv }; }; + +/** \internal + * \brief Template functor to compute the modulo between an array and a scalar. + */ +template <typename Scalar> +struct scalar_mod_op { + EIGEN_DEVICE_FUNC scalar_mod_op(const Scalar& divisor) : m_divisor(divisor) {} + EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return a % m_divisor; } + const Scalar m_divisor; +}; +template <typename Scalar> +struct functor_traits<scalar_mod_op<Scalar> > +{ enum { Cost = 2 * NumTraits<Scalar>::MulCost, PacketAccess = false }; }; + +/** \internal + * \brief Template functor to compute the float modulo between an array and a scalar. + */ +template <typename Scalar> +struct scalar_fmod_op { + EIGEN_EMPTY_STRUCT_CTOR(scalar_fmod_op); + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar + operator()(const Scalar& a, const Scalar& b) const { + EIGEN_USING_STD_MATH(fmod); + return (fmod)(a, b); + } +}; + +template <typename Scalar> +struct functor_traits<scalar_fmod_op<Scalar> > { + enum { Cost = 2 * NumTraits<Scalar>::MulCost, PacketAccess = false }; +}; + + +} // end namespace internal + +} // end namespace Eigen + +#endif // EIGEN_BINARY_FUNCTORS_H |