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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
lots more EIGEN2_SUPPORT fixes. Now several of the most important core tests build and succeed.
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@@ -55,6 +55,7 @@ template<typename ExpressionType, unsigned int Added, unsigned int Removed> clas
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public:
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typedef MatrixBase<Flagged> Base;
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EIGEN_DENSE_PUBLIC_INTERFACE(Flagged)
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typedef typename internal::conditional<internal::must_nest_by_value<ExpressionType>::ret,
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ExpressionType, const ExpressionType&>::type ExpressionTypeNested;
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@@ -67,21 +68,31 @@ template<typename ExpressionType, unsigned int Added, unsigned int Removed> clas
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inline Index outerStride() const { return m_matrix.outerStride(); }
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inline Index innerStride() const { return m_matrix.innerStride(); }
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inline const Scalar coeff(Index row, Index col) const
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inline CoeffReturnType coeff(Index row, Index col) const
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{
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return m_matrix.coeff(row, col);
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}
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inline CoeffReturnType coeff(Index index) const
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{
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return m_matrix.coeff(index);
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}
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inline const Scalar& coeffRef(Index row, Index col) const
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{
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return m_matrix.const_cast_derived().coeffRef(row, col);
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}
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inline const Scalar& coeffRef(Index index) const
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{
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return m_matrix.const_cast_derived().coeffRef(index);
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}
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inline Scalar& coeffRef(Index row, Index col)
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{
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return m_matrix.const_cast_derived().coeffRef(row, col);
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}
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inline const Scalar coeff(Index index) const
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{
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return m_matrix.coeff(index);
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}
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inline Scalar& coeffRef(Index index)
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{
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return m_matrix.const_cast_derived().coeffRef(index);
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@@ -82,16 +82,27 @@ struct functor_traits<scalar_product_op<LhsScalar,RhsScalar> > {
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/** \internal
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* \brief Template functor to compute the conjugate product of two scalars
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*
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* This is a short cut for conj(x) * y which is needed for optimization purpose
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* This is a short cut for conj(x) * y which is needed for optimization purpose; in Eigen2 support mode, this becomes x * conj(y)
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*/
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template<typename Scalar> struct scalar_conj_product_op {
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enum { Conj = NumTraits<Scalar>::IsComplex };
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enum {
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Conj = NumTraits<Scalar>::IsComplex,
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#ifdef EIGEN2_SUPPORT // in Eigen2, dot product is linear in the first variable
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LhsConj = false,
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RhsConj = Conj
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#else // in Eigen3, dot product is linear in the second variable
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LhsConj = Conj,
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RhsConj = false
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#endif
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};
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EIGEN_EMPTY_STRUCT_CTOR(scalar_conj_product_op)
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EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b) const
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{ return conj_helper<Scalar,Scalar,Conj,false>().pmul(a,b); }
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{ return conj_helper<Scalar,Scalar,LhsConj,RhsConj>().pmul(a,b); }
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template<typename Packet>
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EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
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{ return conj_helper<Packet,Packet,Conj,false>().pmul(a,b); }
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{ return conj_helper<Packet,Packet,LhsConj,RhsConj>().pmul(a,b); }
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};
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template<typename Scalar>
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struct functor_traits<scalar_conj_product_op<Scalar> > {
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@@ -69,12 +69,6 @@ template<typename T> struct GenericNumTraits
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AddCost = 1,
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MulCost = 1
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};
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#ifdef EIGEN2_SUPPORT
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enum {
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HasFloatingPoint = !IsInteger
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};
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#endif
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typedef T Real;
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typedef typename internal::conditional<
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@@ -92,6 +86,13 @@ template<typename T> struct GenericNumTraits
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}
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inline static T highest() { return std::numeric_limits<T>::max(); }
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inline static T lowest() { return IsInteger ? std::numeric_limits<T>::min() : (-std::numeric_limits<T>::max()); }
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#ifdef EIGEN2_SUPPORT
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enum {
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HasFloatingPoint = !IsInteger
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};
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typedef NonInteger FloatingPoint;
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#endif
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};
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template<typename T> struct NumTraits : GenericNumTraits<T>
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@@ -145,9 +145,13 @@ class ProductBase : public MatrixBase<Derived>
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// restrict coeff accessors to 1x1 expressions. No need to care about mutators here since this isnt a Lvalue expression
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typename Base::CoeffReturnType coeff(Index row, Index col) const
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{
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#ifdef EIGEN2_SUPPORT
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return lhs().row(row).cwiseProduct(rhs().col(col).transpose()).sum();
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#else
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EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
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eigen_assert(this->rows() == 1 && this->cols() == 1);
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return derived().coeff(row,col);
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#endif
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}
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typename Base::CoeffReturnType coeff(Index i) const
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@@ -171,8 +171,14 @@
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) \
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)
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#define EIGEN_STATIC_ASSERT_NON_INTEGER(TYPE) \
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EIGEN_STATIC_ASSERT(!NumTraits<TYPE>::IsInteger, THIS_FUNCTION_IS_NOT_FOR_INTEGER_NUMERIC_TYPES)
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#ifdef EIGEN2_SUPPORT
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#define EIGEN_STATIC_ASSERT_NON_INTEGER(TYPE) \
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eigen_assert(!NumTraits<Scalar>::IsInteger);
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#else
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#define EIGEN_STATIC_ASSERT_NON_INTEGER(TYPE) \
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EIGEN_STATIC_ASSERT(!NumTraits<TYPE>::IsInteger, THIS_FUNCTION_IS_NOT_FOR_INTEGER_NUMERIC_TYPES)
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#endif
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// static assertion failing if it is guaranteed at compile-time that the two matrix expression types have different sizes
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#define EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(TYPE0,TYPE1) \
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