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C++のEigenで作ったライブラリをBoost.NumpyでPythonから使えるようにする。 - Qiita
#define EIGEN_DEFAULT_TO_ROW_MAJOR #include<Eigen/Core> #include<boost/numpy.hpp> namespace py = boost::python; namespace np = boost::numpy; np::ndarray add_double(const np::ndarray lhs, const np::ndarray rhs) { using Stride = Eigen::Stride<Eigen::Dynamic, Eigen::Dynamic>; const auto lrows = lhs.shape(0), lcols = lhs.shape(1), rrows = rhs.shape(0), rcols = rhs.shape(1); const Stride lstride(lhs.st
Tentative NumPy Tutorial -
This tutorial is unfinished. The original authors were not NumPy experts nor native English speakers so it needs reviewing. Please do not hesitate to click the edit button. You will need to create a User Account first. Quick Tour NumPy is a Python library for working with multidimensional arrays. The main data type is an array. An array is a set of elements, all of the same type, indexed by a vec
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