使用一个遵循buffer protocol的对象就可以和numpy交互了.
这个buffer_protocol要有哪些东西呢? 要有如下接口:
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struct buffer_info { void * ptr; ssize_t itemsize; std::string format ; ssize_t ndim; std::vector<ssize_t> shape; std::vector<ssize_t> strides; }; |
其实就是一个指向数组的指针+各个维度的信息就可以了. 然后我们就可以用指针+偏移来访问数字中的任意位置上的数字了.
下面是一个可以跑的例子:
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#include <pybind11/pybind11.h> #include <pybind11/numpy.h> namespace py = pybind11; py::array_t<double> add_arrays(py::array_t<double> input1, py::array_t<double> input2) { py::buffer_info buf1 = input1.request(), buf2 = input2.request(); if (buf1.ndim ! = 1 || buf2.ndim ! = 1 ) throw std::runtime_error( "Number of dimensions must be one" ); if (buf1.size ! = buf2.size) throw std::runtime_error( "Input shapes must match" ); / * No pointer is passed, so NumPy will allocate the buffer * / auto result = py::array_t<double>(buf1.size); py::buffer_info buf3 = result.request(); double * ptr1 = (double * ) buf1.ptr, * ptr2 = (double * ) buf2.ptr, * ptr3 = (double * ) buf3.ptr; for (size_t idx = 0 ; idx < buf1.shape[ 0 ]; idx + + ) ptr3[idx] = ptr1[idx] + ptr2[idx]; return result; } PYBIND11_MODULE(test, m) { m. def ( "add_arrays" , &add_arrays, "Add two NumPy arrays" ); } |
array_t里的buf就是一个兼容的接口.
buf中可以得到指针和对应数字的维度信息.
为了方便我们甚至可以使用Eigen当作我们兼容numpy的接口:
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#include <pybind11/pybind11.h> #include <pybind11/eigen.h> #include <Eigen/LU> / / N.B. this would equally work with Eigen - types that are not predefined. For example replacing / / all occurrences of "Eigen::MatrixXd" with "MatD" , with the following definition: / / / / typedef Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> MatD; Eigen::MatrixXd inv(const Eigen::MatrixXd &xs) { return xs.inverse(); } double det(const Eigen::MatrixXd &xs) { return xs.determinant(); } namespace py = pybind11; PYBIND11_MODULE(example,m) { m.doc() = "pybind11 example plugin" ; m. def ( "inv" , &inv); m. def ( "det" , &det); } |
更多参考:
https://pybind11.readthedocs.io/en/stable/advanced/pycpp/numpy.html
https://github.com/tdegeus/pybind11_examples
总结
以上所述是小编给大家介绍的pybind11和numpy进行交互的方法,希望对大家有所帮助,如果大家有任何疑问请给我留言,小编会及时回复大家的。在此也非常感谢大家对服务器之家网站的支持!
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原文链接:https://www.cnblogs.com/JiangOil/p/11130670.html