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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
Add nvcc support for small eigenvalues decompositions and workaround lack of support for std::swap and std::numeric_limits
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@@ -69,17 +69,23 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
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};
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typedef typename MatrixType::PlainObject PlainObject;
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EIGEN_DEVICE_FUNC
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inline SelfAdjointView(MatrixType& matrix) : m_matrix(matrix)
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{}
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EIGEN_DEVICE_FUNC
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inline Index rows() const { return m_matrix.rows(); }
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EIGEN_DEVICE_FUNC
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inline Index cols() const { return m_matrix.cols(); }
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EIGEN_DEVICE_FUNC
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inline Index outerStride() const { return m_matrix.outerStride(); }
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EIGEN_DEVICE_FUNC
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inline Index innerStride() const { return m_matrix.innerStride(); }
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/** \sa MatrixBase::coeff()
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* \warning the coordinates must fit into the referenced triangular part
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*/
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EIGEN_DEVICE_FUNC
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inline Scalar coeff(Index row, Index col) const
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{
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Base::check_coordinates_internal(row, col);
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@@ -89,6 +95,7 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
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/** \sa MatrixBase::coeffRef()
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* \warning the coordinates must fit into the referenced triangular part
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*/
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EIGEN_DEVICE_FUNC
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inline Scalar& coeffRef(Index row, Index col)
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{
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Base::check_coordinates_internal(row, col);
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@@ -96,13 +103,17 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
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}
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/** \internal */
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EIGEN_DEVICE_FUNC
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const MatrixTypeNestedCleaned& _expression() const { return m_matrix; }
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EIGEN_DEVICE_FUNC
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const MatrixTypeNestedCleaned& nestedExpression() const { return m_matrix; }
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EIGEN_DEVICE_FUNC
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MatrixTypeNestedCleaned& nestedExpression() { return *const_cast<MatrixTypeNestedCleaned*>(&m_matrix); }
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/** Efficient self-adjoint matrix times vector/matrix product */
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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SelfadjointProductMatrix<MatrixType,Mode,false,OtherDerived,0,OtherDerived::IsVectorAtCompileTime>
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operator*(const MatrixBase<OtherDerived>& rhs) const
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{
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@@ -113,6 +124,7 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
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/** Efficient vector/matrix times self-adjoint matrix product */
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template<typename OtherDerived> friend
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EIGEN_DEVICE_FUNC
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SelfadjointProductMatrix<OtherDerived,0,OtherDerived::IsVectorAtCompileTime,MatrixType,Mode,false>
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operator*(const MatrixBase<OtherDerived>& lhs, const SelfAdjointView& rhs)
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{
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@@ -132,6 +144,7 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
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* \sa rankUpdate(const MatrixBase<DerivedU>&, Scalar)
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*/
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template<typename DerivedU, typename DerivedV>
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EIGEN_DEVICE_FUNC
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SelfAdjointView& rankUpdate(const MatrixBase<DerivedU>& u, const MatrixBase<DerivedV>& v, const Scalar& alpha = Scalar(1));
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/** Perform a symmetric rank K update of the selfadjoint matrix \c *this:
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@@ -145,6 +158,7 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
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* \sa rankUpdate(const MatrixBase<DerivedU>&, const MatrixBase<DerivedV>&, Scalar)
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*/
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template<typename DerivedU>
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EIGEN_DEVICE_FUNC
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SelfAdjointView& rankUpdate(const MatrixBase<DerivedU>& u, const Scalar& alpha = Scalar(1));
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/////////// Cholesky module ///////////
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@@ -159,11 +173,14 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
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/** Return type of eigenvalues() */
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typedef Matrix<RealScalar, internal::traits<MatrixType>::ColsAtCompileTime, 1> EigenvaluesReturnType;
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EIGEN_DEVICE_FUNC
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EigenvaluesReturnType eigenvalues() const;
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EIGEN_DEVICE_FUNC
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RealScalar operatorNorm() const;
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#ifdef EIGEN2_SUPPORT
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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SelfAdjointView& operator=(const MatrixBase<OtherDerived>& other)
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{
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enum {
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@@ -174,6 +191,7 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
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return *this;
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}
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template<typename OtherMatrixType, unsigned int OtherMode>
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EIGEN_DEVICE_FUNC
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SelfAdjointView& operator=(const TriangularView<OtherMatrixType, OtherMode>& other)
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{
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enum {
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@@ -209,6 +227,7 @@ struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Upper), U
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row = (UnrollCount-1) % Derived1::RowsAtCompileTime
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};
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EIGEN_DEVICE_FUNC
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static inline void run(Derived1 &dst, const Derived2 &src)
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{
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triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Upper), UnrollCount-1, ClearOpposite>::run(dst, src);
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@@ -223,6 +242,7 @@ struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Upper), U
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template<typename Derived1, typename Derived2, bool ClearOpposite>
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struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Upper, 0, ClearOpposite>
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{
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EIGEN_DEVICE_FUNC
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static inline void run(Derived1 &, const Derived2 &) {}
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};
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@@ -234,6 +254,7 @@ struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Lower), U
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row = (UnrollCount-1) % Derived1::RowsAtCompileTime
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};
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EIGEN_DEVICE_FUNC
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static inline void run(Derived1 &dst, const Derived2 &src)
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{
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triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Lower), UnrollCount-1, ClearOpposite>::run(dst, src);
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@@ -248,6 +269,7 @@ struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Lower), U
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template<typename Derived1, typename Derived2, bool ClearOpposite>
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struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Lower, 0, ClearOpposite>
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{
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EIGEN_DEVICE_FUNC
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static inline void run(Derived1 &, const Derived2 &) {}
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};
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@@ -255,6 +277,7 @@ template<typename Derived1, typename Derived2, bool ClearOpposite>
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struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Upper, Dynamic, ClearOpposite>
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{
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typedef typename Derived1::Index Index;
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EIGEN_DEVICE_FUNC
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static inline void run(Derived1 &dst, const Derived2 &src)
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{
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for(Index j = 0; j < dst.cols(); ++j)
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@@ -272,6 +295,7 @@ struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Upper, Dyn
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template<typename Derived1, typename Derived2, bool ClearOpposite>
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struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Lower, Dynamic, ClearOpposite>
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{
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EIGEN_DEVICE_FUNC
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static inline void run(Derived1 &dst, const Derived2 &src)
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{
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typedef typename Derived1::Index Index;
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