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bug #1412: fix compilation with nvcc+MSVC
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@ -29,6 +29,22 @@ namespace Eigen {
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*
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* \sa Scaling(), class DiagonalMatrix, MatrixBase::asDiagonal(), class Translation, class Transform
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*/
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namespace internal
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{
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// This helper helps nvcc+MSVC to properly parse this file.
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// See bug 1412.
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template <typename Scalar, int Dim, int Mode>
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struct uniformscaling_times_affine_returntype
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{
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enum
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{
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NewMode = int(Mode) == int(Isometry) ? Affine : Mode
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};
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typedef Transform <Scalar, Dim, NewMode> type;
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};
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}
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template<typename _Scalar>
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class UniformScaling
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{
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@ -60,9 +76,11 @@ public:
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/** Concatenates a uniform scaling and an affine transformation */
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template<int Dim, int Mode, int Options>
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inline Transform<Scalar,Dim,(int(Mode)==int(Isometry)?Affine:Mode)> operator* (const Transform<Scalar,Dim, Mode, Options>& t) const
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inline typename
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internal::uniformscaling_times_affine_returntype <Scalar,Dim,Mode>::type
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operator* (const Transform<Scalar, Dim, Mode, Options>& t) const
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{
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Transform<Scalar,Dim,(int(Mode)==int(Isometry)?Affine:Mode)> res = t;
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typename internal::uniformscaling_times_affine_returntype <Scalar,Dim,Mode> res = t;
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res.prescale(factor());
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return res;
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}
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@ -70,7 +88,7 @@ public:
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/** Concatenates a uniform scaling and a linear transformation matrix */
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// TODO returns an expression
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template<typename Derived>
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inline typename internal::plain_matrix_type<Derived>::type operator* (const MatrixBase<Derived>& other) const
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inline typename Eigen::internal::plain_matrix_type<Derived>::type operator* (const MatrixBase<Derived>& other) const
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{ return other * m_factor; }
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template<typename Derived,int Dim>
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@ -217,7 +217,7 @@ public:
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// Method to allocate and initialize matrix and attributes
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template<typename MatrixType>
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void BDCSVD<MatrixType>::allocate(Index rows, Index cols, unsigned int computationOptions)
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void BDCSVD<MatrixType>::allocate(Eigen::Index rows, Eigen::Index cols, unsigned int computationOptions)
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{
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m_isTranspose = (cols > rows);
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@ -393,7 +393,7 @@ void BDCSVD<MatrixType>::structured_update(Block<MatrixXr,Dynamic,Dynamic> A, co
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//@param shift : Each time one takes the left submatrix, one must add 1 to the shift. Why? Because! We actually want the last column of the U submatrix
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// to become the first column (*coeff) and to shift all the other columns to the right. There are more details on the reference paper.
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template<typename MatrixType>
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void BDCSVD<MatrixType>::divide (Index firstCol, Index lastCol, Index firstRowW, Index firstColW, Index shift)
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void BDCSVD<MatrixType>::divide (Eigen::Index firstCol, Eigen::Index lastCol, Eigen::Index firstRowW, Eigen::Index firstColW, Eigen::Index shift)
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{
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// requires rows = cols + 1;
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using std::pow;
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@ -573,7 +573,7 @@ void BDCSVD<MatrixType>::divide (Index firstCol, Index lastCol, Index firstRowW,
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// handling of round-off errors, be consistent in ordering
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// For instance, to solve the secular equation using FMM, see http://www.stat.uchicago.edu/~lekheng/courses/302/classics/greengard-rokhlin.pdf
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template <typename MatrixType>
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void BDCSVD<MatrixType>::computeSVDofM(Index firstCol, Index n, MatrixXr& U, VectorType& singVals, MatrixXr& V)
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void BDCSVD<MatrixType>::computeSVDofM(Eigen::Index firstCol, Eigen::Index n, MatrixXr& U, VectorType& singVals, MatrixXr& V)
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{
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const RealScalar considerZero = (std::numeric_limits<RealScalar>::min)();
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using std::abs;
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@ -1059,7 +1059,7 @@ void BDCSVD<MatrixType>::computeSingVecs
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// i >= 1, di almost null and zi non null.
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// We use a rotation to zero out zi applied to the left of M
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template <typename MatrixType>
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void BDCSVD<MatrixType>::deflation43(Index firstCol, Index shift, Index i, Index size)
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void BDCSVD<MatrixType>::deflation43(Eigen::Index firstCol, Eigen::Index shift, Eigen::Index i, Eigen::Index size)
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{
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using std::abs;
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using std::sqrt;
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@ -1088,7 +1088,7 @@ void BDCSVD<MatrixType>::deflation43(Index firstCol, Index shift, Index i, Index
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// We apply two rotations to have zj = 0;
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// TODO deflation44 is still broken and not properly tested
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template <typename MatrixType>
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void BDCSVD<MatrixType>::deflation44(Index firstColu , Index firstColm, Index firstRowW, Index firstColW, Index i, Index j, Index size)
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void BDCSVD<MatrixType>::deflation44(Eigen::Index firstColu , Eigen::Index firstColm, Eigen::Index firstRowW, Eigen::Index firstColW, Eigen::Index i, Eigen::Index j, Eigen::Index size)
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{
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using std::abs;
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using std::sqrt;
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@ -1128,7 +1128,7 @@ void BDCSVD<MatrixType>::deflation44(Index firstColu , Index firstColm, Index fi
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// acts on block from (firstCol+shift, firstCol+shift) to (lastCol+shift, lastCol+shift) [inclusive]
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template <typename MatrixType>
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void BDCSVD<MatrixType>::deflation(Index firstCol, Index lastCol, Index k, Index firstRowW, Index firstColW, Index shift)
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void BDCSVD<MatrixType>::deflation(Eigen::Index firstCol, Eigen::Index lastCol, Eigen::Index k, Eigen::Index firstRowW, Eigen::Index firstColW, Eigen::Index shift)
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{
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using std::sqrt;
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using std::abs;
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@ -610,7 +610,7 @@ template<typename _MatrixType, int QRPreconditioner> class JacobiSVD
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};
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template<typename MatrixType, int QRPreconditioner>
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void JacobiSVD<MatrixType, QRPreconditioner>::allocate(Index rows, Index cols, unsigned int computationOptions)
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void JacobiSVD<MatrixType, QRPreconditioner>::allocate(Eigen::Index rows, Eigen::Index cols, unsigned int computationOptions)
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{
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eigen_assert(rows >= 0 && cols >= 0);
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