.3.8~rc1_unsupported_Eigen_CXX11_src_Tensor_README
\n+.3.8~rc1_2nd_unsupported_Eigen_CXX11_src_Tensor_README
\nTensors are multidimensional arrays of elements. Elements are typically scalars, but more complex types such as strings are also supported.
\nYou can manipulate a tensor with one of the following classes. They all are in the namespace Eigen.
This is the class to use to create a tensor and allocate memory for it. The class is templatized with the tensor datatype, such as float or int, and the tensor rank. The rank is the number of dimensions, for example rank 2 is a matrix.
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ColMajor> input(2, 4); Tensor<float, 2, RowMajor> output = input.swap_layout(); eigen_assert(output.dimension(0) == 4); eigen_assert(output.dimension(1) == 2);
\narray<int, 2> shuffle(1, 0); output = input.swap_layout().shuffle(shuffle); eigen_assert(output.dimension(0) == 2); eigen_assert(output.dimension(1) == 4);
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\n+~rc1/2nd/unsupported/Eigen/CXX11/src/Tensor/TensorLayoutSwap.h
\n