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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
This commit is contained in:
@@ -44,29 +44,39 @@ template<typename Derived> class TriangularBase : public EigenBase<Derived>
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typedef typename internal::traits<Derived>::DenseMatrixType DenseMatrixType;
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typedef DenseMatrixType DenseType;
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EIGEN_DEVICE_FUNC
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inline TriangularBase() { eigen_assert(!((Mode&UnitDiag) && (Mode&ZeroDiag))); }
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EIGEN_DEVICE_FUNC
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inline Index rows() const { return derived().rows(); }
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EIGEN_DEVICE_FUNC
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inline Index cols() const { return derived().cols(); }
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EIGEN_DEVICE_FUNC
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inline Index outerStride() const { return derived().outerStride(); }
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EIGEN_DEVICE_FUNC
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inline Index innerStride() const { return derived().innerStride(); }
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EIGEN_DEVICE_FUNC
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inline Scalar coeff(Index row, Index col) const { return derived().coeff(row,col); }
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EIGEN_DEVICE_FUNC
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inline Scalar& coeffRef(Index row, Index col) { return derived().coeffRef(row,col); }
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/** \see MatrixBase::copyCoeff(row,col)
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*/
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template<typename Other>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE void copyCoeff(Index row, Index col, Other& other)
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{
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derived().coeffRef(row, col) = other.coeff(row, col);
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}
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EIGEN_DEVICE_FUNC
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inline Scalar operator()(Index row, Index col) const
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{
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check_coordinates(row, col);
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return coeff(row,col);
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}
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EIGEN_DEVICE_FUNC
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inline Scalar& operator()(Index row, Index col)
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{
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check_coordinates(row, col);
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@@ -74,15 +84,20 @@ template<typename Derived> class TriangularBase : public EigenBase<Derived>
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}
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#ifndef EIGEN_PARSED_BY_DOXYGEN
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EIGEN_DEVICE_FUNC
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inline const Derived& derived() const { return *static_cast<const Derived*>(this); }
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EIGEN_DEVICE_FUNC
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inline Derived& derived() { return *static_cast<Derived*>(this); }
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#endif // not EIGEN_PARSED_BY_DOXYGEN
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template<typename DenseDerived>
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EIGEN_DEVICE_FUNC
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void evalTo(MatrixBase<DenseDerived> &other) const;
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template<typename DenseDerived>
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EIGEN_DEVICE_FUNC
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void evalToLazy(MatrixBase<DenseDerived> &other) const;
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EIGEN_DEVICE_FUNC
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DenseMatrixType toDenseMatrix() const
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{
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DenseMatrixType res(rows(), cols());
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@@ -189,36 +204,52 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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| (Mode & (ZeroDiag))
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};
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EIGEN_DEVICE_FUNC
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inline TriangularView(const 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::operator+=() */
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template<typename Other> TriangularView& operator+=(const DenseBase<Other>& other) { return *this = m_matrix + other.derived(); }
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/** \sa MatrixBase::operator+=() */
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template<typename Other>
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EIGEN_DEVICE_FUNC
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TriangularView& operator+=(const DenseBase<Other>& other) { return *this = m_matrix + other.derived(); }
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/** \sa MatrixBase::operator-=() */
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template<typename Other> TriangularView& operator-=(const DenseBase<Other>& other) { return *this = m_matrix - other.derived(); }
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template<typename Other>
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EIGEN_DEVICE_FUNC
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TriangularView& operator-=(const DenseBase<Other>& other) { return *this = m_matrix - other.derived(); }
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/** \sa MatrixBase::operator*=() */
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EIGEN_DEVICE_FUNC
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TriangularView& operator*=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = m_matrix * other; }
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/** \sa MatrixBase::operator/=() */
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EIGEN_DEVICE_FUNC
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TriangularView& operator/=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = m_matrix / other; }
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/** \sa MatrixBase::fill() */
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EIGEN_DEVICE_FUNC
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void fill(const Scalar& value) { setConstant(value); }
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/** \sa MatrixBase::setConstant() */
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EIGEN_DEVICE_FUNC
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TriangularView& setConstant(const Scalar& value)
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{ return *this = MatrixType::Constant(rows(), cols(), value); }
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/** \sa MatrixBase::setZero() */
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EIGEN_DEVICE_FUNC
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TriangularView& setZero() { return setConstant(Scalar(0)); }
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/** \sa MatrixBase::setOnes() */
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EIGEN_DEVICE_FUNC
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TriangularView& setOnes() { return setConstant(Scalar(1)); }
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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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@@ -228,49 +259,62 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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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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return m_matrix.const_cast_derived().coeffRef(row, col);
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}
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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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/** Assigns a triangular matrix to a triangular part of a dense matrix */
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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TriangularView& operator=(const TriangularBase<OtherDerived>& other);
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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TriangularView& operator=(const MatrixBase<OtherDerived>& other);
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EIGEN_DEVICE_FUNC
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TriangularView& operator=(const TriangularView& other)
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{ return *this = other.nestedExpression(); }
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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void lazyAssign(const TriangularBase<OtherDerived>& other);
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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void lazyAssign(const MatrixBase<OtherDerived>& other);
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/** \sa MatrixBase::conjugate() */
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EIGEN_DEVICE_FUNC
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inline TriangularView<MatrixConjugateReturnType,Mode> conjugate()
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{ return m_matrix.conjugate(); }
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/** \sa MatrixBase::conjugate() const */
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EIGEN_DEVICE_FUNC
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inline const TriangularView<MatrixConjugateReturnType,Mode> conjugate() const
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{ return m_matrix.conjugate(); }
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/** \sa MatrixBase::adjoint() const */
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EIGEN_DEVICE_FUNC
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inline const TriangularView<const typename MatrixType::AdjointReturnType,TransposeMode> adjoint() const
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{ return m_matrix.adjoint(); }
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/** \sa MatrixBase::transpose() */
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EIGEN_DEVICE_FUNC
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inline TriangularView<Transpose<MatrixType>,TransposeMode> transpose()
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{
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EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
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return m_matrix.const_cast_derived().transpose();
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}
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/** \sa MatrixBase::transpose() const */
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EIGEN_DEVICE_FUNC
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inline const TriangularView<Transpose<MatrixType>,TransposeMode> transpose() const
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{
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return m_matrix.transpose();
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@@ -278,6 +322,7 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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/** Efficient triangular matrix times vector/matrix product */
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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TriangularProduct<Mode,true,MatrixType,false,OtherDerived, OtherDerived::IsVectorAtCompileTime>
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operator*(const MatrixBase<OtherDerived>& rhs) const
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{
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@@ -288,6 +333,7 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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/** Efficient vector/matrix times triangular matrix product */
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template<typename OtherDerived> friend
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EIGEN_DEVICE_FUNC
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TriangularProduct<Mode,false,OtherDerived,OtherDerived::IsVectorAtCompileTime,MatrixType,false>
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operator*(const MatrixBase<OtherDerived>& lhs, const TriangularView& rhs)
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{
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@@ -326,26 +372,32 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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#endif // EIGEN2_SUPPORT
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template<int Side, typename Other>
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EIGEN_DEVICE_FUNC
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inline const internal::triangular_solve_retval<Side,TriangularView, Other>
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solve(const MatrixBase<Other>& other) const;
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template<int Side, typename OtherDerived>
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EIGEN_DEVICE_FUNC
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void solveInPlace(const MatrixBase<OtherDerived>& other) const;
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template<typename Other>
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EIGEN_DEVICE_FUNC
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inline const internal::triangular_solve_retval<OnTheLeft,TriangularView, Other>
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solve(const MatrixBase<Other>& other) const
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{ return solve<OnTheLeft>(other); }
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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void solveInPlace(const MatrixBase<OtherDerived>& other) const
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{ return solveInPlace<OnTheLeft>(other); }
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EIGEN_DEVICE_FUNC
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const SelfAdjointView<MatrixTypeNestedNonRef,Mode> selfadjointView() const
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{
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EIGEN_STATIC_ASSERT((Mode&UnitDiag)==0,PROGRAMMING_ERROR);
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return SelfAdjointView<MatrixTypeNestedNonRef,Mode>(m_matrix);
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}
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EIGEN_DEVICE_FUNC
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SelfAdjointView<MatrixTypeNestedNonRef,Mode> selfadjointView()
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{
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EIGEN_STATIC_ASSERT((Mode&UnitDiag)==0,PROGRAMMING_ERROR);
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@@ -353,18 +405,21 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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}
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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void swap(TriangularBase<OtherDerived> const & other)
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{
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TriangularView<SwapWrapper<MatrixType>,Mode>(const_cast<MatrixType&>(m_matrix)).lazyAssign(other.derived());
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}
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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void swap(MatrixBase<OtherDerived> const & other)
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{
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SwapWrapper<MatrixType> swaper(const_cast<MatrixType&>(m_matrix));
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TriangularView<SwapWrapper<MatrixType>,Mode>(swaper).lazyAssign(other.derived());
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}
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EIGEN_DEVICE_FUNC
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Scalar determinant() const
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{
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if (Mode & UnitDiag)
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@@ -377,6 +432,7 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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// TODO simplify the following:
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template<typename ProductDerived, typename Lhs, typename Rhs>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE TriangularView& operator=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
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{
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setZero();
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@@ -384,12 +440,14 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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}
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template<typename ProductDerived, typename Lhs, typename Rhs>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE TriangularView& operator+=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
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{
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return assignProduct(other,1);
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}
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template<typename ProductDerived, typename Lhs, typename Rhs>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE TriangularView& operator-=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
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{
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return assignProduct(other,-1);
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@@ -397,6 +455,7 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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template<typename ProductDerived>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE TriangularView& operator=(const ScaledProduct<ProductDerived>& other)
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{
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setZero();
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@@ -404,12 +463,14 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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}
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template<typename ProductDerived>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE TriangularView& operator+=(const ScaledProduct<ProductDerived>& other)
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{
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return assignProduct(other,other.alpha());
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}
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template<typename ProductDerived>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE TriangularView& operator-=(const ScaledProduct<ProductDerived>& other)
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{
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return assignProduct(other,-other.alpha());
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@@ -418,6 +479,7 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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protected:
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template<typename ProductDerived, typename Lhs, typename Rhs>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE TriangularView& assignProduct(const ProductBase<ProductDerived, Lhs,Rhs>& prod, const Scalar& alpha);
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MatrixTypeNested m_matrix;
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@@ -439,6 +501,7 @@ struct triangular_assignment_selector
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typedef typename Derived1::Scalar Scalar;
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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, Mode, UnrollCount-1, ClearOpposite>::run(dst, src);
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@@ -467,6 +530,7 @@ struct triangular_assignment_selector
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template<typename Derived1, typename Derived2, unsigned int Mode, bool ClearOpposite>
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struct triangular_assignment_selector<Derived1, Derived2, Mode, 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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@@ -475,6 +539,7 @@ struct triangular_assignment_selector<Derived1, Derived2, Upper, Dynamic, ClearO
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{
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typedef typename Derived1::Index Index;
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typedef typename Derived1::Scalar Scalar;
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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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@@ -493,6 +558,7 @@ template<typename Derived1, typename Derived2, bool ClearOpposite>
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struct triangular_assignment_selector<Derived1, Derived2, Lower, 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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@@ -512,6 +578,7 @@ struct triangular_assignment_selector<Derived1, Derived2, StrictlyUpper, Dynamic
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{
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typedef typename Derived1::Index Index;
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typedef typename Derived1::Scalar Scalar;
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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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@@ -530,6 +597,7 @@ template<typename Derived1, typename Derived2, bool ClearOpposite>
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struct triangular_assignment_selector<Derived1, Derived2, StrictlyLower, 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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@@ -548,6 +616,7 @@ template<typename Derived1, typename Derived2, bool ClearOpposite>
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struct triangular_assignment_selector<Derived1, Derived2, UnitUpper, 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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@@ -568,6 +637,7 @@ template<typename Derived1, typename Derived2, bool ClearOpposite>
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struct triangular_assignment_selector<Derived1, Derived2, UnitLower, 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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