Image.h 2.93 KB
Newer Older
LM's avatar
LM committed
1 2 3 4 5
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
//
Don Gagne's avatar
Don Gagne committed
6 7 8
// 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/.
LM's avatar
LM committed
9 10 11 12

#ifndef EIGEN_MISC_IMAGE_H
#define EIGEN_MISC_IMAGE_H

Don Gagne's avatar
Don Gagne committed
13 14
namespace Eigen { 

LM's avatar
LM committed
15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81
namespace internal {

/** \class image_retval_base
  *
  */
template<typename DecompositionType>
struct traits<image_retval_base<DecompositionType> >
{
  typedef typename DecompositionType::MatrixType MatrixType;
  typedef Matrix<
    typename MatrixType::Scalar,
    MatrixType::RowsAtCompileTime, // the image is a subspace of the destination space, whose
                                   // dimension is the number of rows of the original matrix
    Dynamic,                       // we don't know at compile time the dimension of the image (the rank)
    MatrixType::Options,
    MatrixType::MaxRowsAtCompileTime, // the image matrix will consist of columns from the original matrix,
    MatrixType::MaxColsAtCompileTime  // so it has the same number of rows and at most as many columns.
  > ReturnType;
};

template<typename _DecompositionType> struct image_retval_base
 : public ReturnByValue<image_retval_base<_DecompositionType> >
{
  typedef _DecompositionType DecompositionType;
  typedef typename DecompositionType::MatrixType MatrixType;
  typedef ReturnByValue<image_retval_base> Base;
  typedef typename Base::Index Index;

  image_retval_base(const DecompositionType& dec, const MatrixType& originalMatrix)
    : m_dec(dec), m_rank(dec.rank()),
      m_cols(m_rank == 0 ? 1 : m_rank),
      m_originalMatrix(originalMatrix)
  {}

  inline Index rows() const { return m_dec.rows(); }
  inline Index cols() const { return m_cols; }
  inline Index rank() const { return m_rank; }
  inline const DecompositionType& dec() const { return m_dec; }
  inline const MatrixType& originalMatrix() const { return m_originalMatrix; }

  template<typename Dest> inline void evalTo(Dest& dst) const
  {
    static_cast<const image_retval<DecompositionType>*>(this)->evalTo(dst);
  }

  protected:
    const DecompositionType& m_dec;
    Index m_rank, m_cols;
    const MatrixType& m_originalMatrix;
};

} // end namespace internal

#define EIGEN_MAKE_IMAGE_HELPERS(DecompositionType) \
  typedef typename DecompositionType::MatrixType MatrixType; \
  typedef typename MatrixType::Scalar Scalar; \
  typedef typename MatrixType::RealScalar RealScalar; \
  typedef typename MatrixType::Index Index; \
  typedef Eigen::internal::image_retval_base<DecompositionType> Base; \
  using Base::dec; \
  using Base::originalMatrix; \
  using Base::rank; \
  using Base::rows; \
  using Base::cols; \
  image_retval(const DecompositionType& dec, const MatrixType& originalMatrix) \
    : Base(dec, originalMatrix) {}

Don Gagne's avatar
Don Gagne committed
82 83
} // end namespace Eigen

LM's avatar
LM committed
84
#endif // EIGEN_MISC_IMAGE_H