Moved Reshape to matrix
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6d04309dfb
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@ -242,41 +242,6 @@ struct DefaultChart<double> {
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// Fixed size Eigen::Matrix type
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// Fixed size Eigen::Matrix type
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namespace internal {
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template <int OutM, int OutN, int InM, int InN, int InOptions>
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struct Reshape {
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//TODO replace this with Eigen's reshape function as soon as available. (There is a PR already pending : https://bitbucket.org/eigen/eigen/pull-request/41/reshape/diff)
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typedef Eigen::Map<const Eigen::Matrix<double, OutM, OutN> > ReshapedType;
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static inline ReshapedType reshape(const Eigen::Matrix<double, InM, InN, InOptions> & in) {
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return in.data();
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}
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};
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template <int M, int N, int InOptions>
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struct Reshape<M, N, M, N, InOptions> {
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typedef const Eigen::Matrix<double, M, N, InOptions> & ReshapedType;
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static inline ReshapedType reshape(const Eigen::Matrix<double, M, N, InOptions> & in) {
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return in;
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}
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};
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template <int M, int N, int InOptions>
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struct Reshape<N, M, M, N, InOptions> {
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typedef typename Eigen::Matrix<double, M, N, InOptions>::ConstTransposeReturnType ReshapedType;
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static inline ReshapedType reshape(const Eigen::Matrix<double, M, N, InOptions> & in) {
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return in.transpose();
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}
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};
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template <int OutM, int OutN, int InM, int InN, int InOptions>
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inline typename Reshape<OutM, OutN, InM, InN, InOptions>::ReshapedType reshape(const Eigen::Matrix<double, InM, InN, InOptions> & m){
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BOOST_STATIC_ASSERT(InM * InN == OutM * OutN);
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return Reshape<OutM, OutN, InM, InN, InOptions>::reshape(m);
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}
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}
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template<int M, int N, int Options>
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template<int M, int N, int Options>
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struct DefaultChart<Eigen::Matrix<double, M, N, Options> > {
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struct DefaultChart<Eigen::Matrix<double, M, N, Options> > {
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/**
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/**
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@ -288,10 +253,10 @@ struct DefaultChart<Eigen::Matrix<double, M, N, Options> > {
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typedef Eigen::Matrix<double, traits::dimension<T>::value, 1> vector;BOOST_STATIC_ASSERT_MSG((M!=Eigen::Dynamic && N!=Eigen::Dynamic),
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typedef Eigen::Matrix<double, traits::dimension<T>::value, 1> vector;BOOST_STATIC_ASSERT_MSG((M!=Eigen::Dynamic && N!=Eigen::Dynamic),
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"DefaultChart has not been implemented yet for dynamically sized matrices");
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"DefaultChart has not been implemented yet for dynamically sized matrices");
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static vector local(const T& origin, const T& other) {
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static vector local(const T& origin, const T& other) {
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return internal::reshape<vector::RowsAtCompileTime, 1>(other) - internal::reshape<vector::RowsAtCompileTime, 1>(origin);
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return reshape<vector::RowsAtCompileTime, 1>(other) - reshape<vector::RowsAtCompileTime, 1>(origin);
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}
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}
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static T retract(const T& origin, const vector& d) {
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static T retract(const T& origin, const vector& d) {
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return origin + internal::reshape<M, N>(d);
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return origin + reshape<M, N>(d);
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}
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}
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static int getDimension(const T&origin) {
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static int getDimension(const T&origin) {
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return origin.rows() * origin.cols();
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return origin.rows() * origin.cols();
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@ -293,6 +293,40 @@ void zeroBelowDiagonal(MATRIX& A, size_t cols=0) {
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*/
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*/
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inline Matrix trans(const Matrix& A) { return A.transpose(); }
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inline Matrix trans(const Matrix& A) { return A.transpose(); }
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/// Reshape functor
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template <int OutM, int OutN, int InM, int InN, int InOptions>
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struct Reshape {
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//TODO replace this with Eigen's reshape function as soon as available. (There is a PR already pending : https://bitbucket.org/eigen/eigen/pull-request/41/reshape/diff)
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typedef Eigen::Map<const Eigen::Matrix<double, OutM, OutN> > ReshapedType;
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static inline ReshapedType reshape(const Eigen::Matrix<double, InM, InN, InOptions> & in) {
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return in.data();
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}
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};
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/// Reshape specialization that does nothing as shape stays the same
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template <int M, int N, int InOptions>
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struct Reshape<M, N, M, N, InOptions> {
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typedef const Eigen::Matrix<double, M, N, InOptions> & ReshapedType;
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static inline ReshapedType reshape(const Eigen::Matrix<double, M, N, InOptions> & in) {
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return in;
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}
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};
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/// Reshape specialization that does transpose
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template <int M, int N, int InOptions>
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struct Reshape<N, M, M, N, InOptions> {
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typedef typename Eigen::Matrix<double, M, N, InOptions>::ConstTransposeReturnType ReshapedType;
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static inline ReshapedType reshape(const Eigen::Matrix<double, M, N, InOptions> & in) {
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return in.transpose();
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}
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};
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template <int OutM, int OutN, int InM, int InN, int InOptions>
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inline typename Reshape<OutM, OutN, InM, InN, InOptions>::ReshapedType reshape(const Eigen::Matrix<double, InM, InN, InOptions> & m){
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BOOST_STATIC_ASSERT(InM * InN == OutM * OutN);
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return Reshape<OutM, OutN, InM, InN, InOptions>::reshape(m);
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}
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/**
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/**
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* solve AX=B via in-place Lu factorization and backsubstitution
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* solve AX=B via in-place Lu factorization and backsubstitution
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* After calling, A contains LU, B the solved RHS vectors
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* After calling, A contains LU, B the solved RHS vectors
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