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pybind11 cpp python
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‎cpp_call_python/__pycache__/human.cpython-36.pyc‎

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‎cpp_call_python/compile.sh‎

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g++ -std=c++11 example.cpp -o example -I/home/pzq/anaconda3/include/python3.6m -I/usr/local/include -L/home/pzq/anaconda3/lib -lpython3.6m

‎cpp_call_python/example‎

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‎cpp_call_python/example.cpp‎

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#include <pybind11/embed.h>
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#include <iostream>
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namespace py=pybind11;
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PYBIND11_EMBEDDED_MODULE(fast_calc, m){
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m.def("add", [](int i, int j){
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return i+j;
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});
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}
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int main(){
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py::scoped_interpreter guard{};
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// import python module
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py::module m = py::module::import("human");
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// Human is a python class
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py::object Human = m.attr("Human");
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// create a Human instance named jack
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py::object jack = Human("Jack");
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// call jack's methods
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jack.attr("set_age")(18);
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py::print(jack.attr("get_name")(),"'s age:", jack.attr("get_age")());
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// automatic type convertion of python's generic types
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auto fast_calc = py::module::import("fast_calc");
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auto result = fast_calc.attr("add")(1,2).cast<int>();
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if (result == 3){
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std::cout<<true<<std::endl;
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}
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return 0;
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}

‎cpp_call_python/human.py‎

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class Human(object):
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def __init__(self, name):
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self.name = name
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def set_age(self, age):
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self.age = age
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def get_name(self):
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return self.name
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def get_age(self):
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return self.age

‎cpp_call_python_numpy/__pycache__/algo.cpython-36.pyc‎

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‎cpp_call_python_numpy/algo.py‎

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import numpy as np
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def det(a):
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return np.linalg.det(a)
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def inv(a):
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return np.linalg.inv(a)

‎cpp_call_python_numpy/compile.sh‎

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g++ -std=c++11 example.cpp -o example -I/home/pzq/anaconda3/include/python3.6m -I/usr/local/include -I/usr/local/include/eigen3 -L/home/pzq/anaconda3/lib -lpython3.6m

‎cpp_call_python_numpy/example‎

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‎cpp_call_python_numpy/example.cpp‎

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#include <pybind11/embed.h>
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#include <pybind11/eigen.h>
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#include <Eigen/LU>
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#include <iostream>
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namespace py = pybind11;
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int main(){
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py::scoped_interpreter guard{};
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// you should have eigen installed first
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py::module m = py::module::import("algo");
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Eigen::MatrixXd a = Eigen::MatrixXd::Random(3,3);
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std::cout<<"a[0,0] = "<<a(0,0)<<std::endl;
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std::cout<<"det of a = "<<a.determinant()<<std::endl;
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std::cout<<"inv of a = "<<a.inverse()<<std::endl;
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// in pybind11, eigen MatrixXd type will convert to python numpy ndarray automaticly
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py::print("det of a =",m.attr("det")(a));
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py::print(m.attr("inv")(a));
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return 0;
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}

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