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author | Christoph Hertzberg <chtz@informatik.uni-bremen.de> | 2018-10-19 21:10:28 +0200 |
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committer | Christoph Hertzberg <chtz@informatik.uni-bremen.de> | 2018-10-19 21:10:28 +0200 |
commit | 449ff74672dd07cc59f632e1bb53851baa814b1d (patch) | |
tree | d23b6c9278d4093a8d1e5a61b06f029bd7af7cd5 /unsupported/Eigen/CXX11/src/Tensor/Tensor.h | |
parent | 40fa6f98bf120b302c32be3fa15d7abbce4c96a7 (diff) |
Fix most Doxygen warnings. Also add links to stable documentation from unsupported modules (by using the corresponding Doxytags file).
Manually grafted from d107a371c61b764c73fd1570b1f3ed1c6400dd7e
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/Tensor.h')
-rw-r--r-- | unsupported/Eigen/CXX11/src/Tensor/Tensor.h | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/Tensor.h b/unsupported/Eigen/CXX11/src/Tensor/Tensor.h index 95349d0ed..17cee495f 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/Tensor.h +++ b/unsupported/Eigen/CXX11/src/Tensor/Tensor.h @@ -23,12 +23,12 @@ namespace Eigen { * The %Tensor class encompasses only dynamic-size objects so far. * * The first two template parameters are required: - * \tparam Scalar_ \anchor tensor_tparam_scalar Numeric type, e.g. float, double, int or std::complex<float>. + * \tparam Scalar_ Numeric type, e.g. float, double, int or `std::complex<float>`. * User defined scalar types are supported as well (see \ref user_defined_scalars "here"). * \tparam NumIndices_ Number of indices (i.e. rank of the tensor) * * The remaining template parameters are optional -- in most cases you don't have to worry about them. - * \tparam Options_ \anchor tensor_tparam_options A combination of either \b #RowMajor or \b #ColMajor, and of either + * \tparam Options_ A combination of either \b #RowMajor or \b #ColMajor, and of either * \b #AutoAlign or \b #DontAlign. * The former controls \ref TopicStorageOrders "storage order", and defaults to column-major. The latter controls alignment, which is required * for vectorization. It defaults to aligning tensors. Note that tensors currently do not support any operations that profit from vectorization. @@ -42,7 +42,7 @@ namespace Eigen { * \endcode * * This class can be extended with the help of the plugin mechanism described on the page - * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_TENSOR_PLUGIN. + * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_TENSOR_PLUGIN. * * <i><b>Some notes:</b></i> * |