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Fixed cuda code: EIGEN_DEVICE_FUNC must come after template<...>

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Christoph Hertzberg
2015-09-10 11:46:27 +02:00
parent 680d318352
commit d6f762d955
1 changed files with 2 additions and 2 deletions
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4
Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
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@@ -157,8 +157,8 @@ template<typename _MatrixType> class SelfAdjointEigenSolver
* *
* \sa compute(const MatrixType&, int) * \sa compute(const MatrixType&, int)
*/ */
EIGEN_DEVICE_FUNC
template<typename InputType> template<typename InputType>
EIGEN_DEVICE_FUNC
explicit SelfAdjointEigenSolver(const EigenBase<InputType>& matrix, int options = ComputeEigenvectors) explicit SelfAdjointEigenSolver(const EigenBase<InputType>& matrix, int options = ComputeEigenvectors)
: m_eivec(matrix.rows(), matrix.cols()), : m_eivec(matrix.rows(), matrix.cols()),
m_eivalues(matrix.cols()), m_eivalues(matrix.cols()),
@@ -198,8 +198,8 @@ template<typename _MatrixType> class SelfAdjointEigenSolver
* *
* \sa SelfAdjointEigenSolver(const MatrixType&, int) * \sa SelfAdjointEigenSolver(const MatrixType&, int)
*/ */
EIGEN_DEVICE_FUNC
template<typename InputType> template<typename InputType>
EIGEN_DEVICE_FUNC
SelfAdjointEigenSolver& compute(const EigenBase<InputType>& matrix, int options = ComputeEigenvectors); SelfAdjointEigenSolver& compute(const EigenBase<InputType>& matrix, int options = ComputeEigenvectors);
/** \brief Computes eigendecomposition of given matrix using a closed-form algorithm /** \brief Computes eigendecomposition of given matrix using a closed-form algorithm