Reputation: 131
I try to pass vector/array by reference from python through pybind11 to a C++ library. The C++ library may fill in data. After the call to C++, I hope the python side will get the data.
Here is the simplified C++ code:
#include <pybind11/pybind11.h>
#include <pybind11/numpy.h>
#include <pybind11/stl.h>
class Setup
{
public:
Setup(int version) : _version(version) {}
int _version;
};
class Calculator
{
public:
Calculator() {}
static void calc(const Setup& setup, std::vector<double>& results) { ... }
}
namespace py = pybind11;
PYBIND11_MODULE(one_calculator, m) {
// optional module docstring
m.doc() = "pybind11 one_calculator plugin";
py::class_<Setup>(m, "Setup")
.def(py::init<int>());
py::class_<Calculator>(m, "Calculator")
.def(py::init<>())
.def("calc", &Calculator::calc);
}
On the python side, I intend to:
import os
import sys
import numpy as np
import pandas as pd
sys.path.append(os.path.realpath('...'))
from one_calculator import Setup, Calculator
a_setup = Setup(1)
a_calculator = Calculator()
results = []
a_calculator.calc(a_setup, results)
results
Apparently the results are not passed back. Is there a neat way to do it?
Upvotes: 3
Views: 5556
Reputation: 131
Figured out a way:
#include <pybind11/pybind11.h>
#include <pybind11/numpy.h>
#include <pybind11/stl.h>
#include "Calculator.h" // where run_calculator is
namespace py = pybind11;
// wrap c++ function with Numpy array IO
int wrapper(const std::string& input_file, py::array_t<double>& in_results) {
if (in_results.ndim() != 2)
throw std::runtime_error("Results should be a 2-D Numpy array");
auto buf = in_results.request();
double* ptr = (double*)buf.ptr;
size_t N = in_results.shape()[0];
size_t M = in_results.shape()[1];
std::vector<std::vector<double> > results;
run_calculator(input_file, results);
size_t pos = 0;
for (size_t i = 0; i < results.size(); i++) {
const std::vector<double>& line_data = results[i];
for (size_t j = 0; j < line_data.size(); j++) {
ptr[pos] = line_data[j];
pos++;
}
}
}
PYBIND11_MODULE(calculator, m) {
// optional module docstring
m.doc() = "pybind11 calculator plugin";
m.def("run_calculator", &wrapper, "Run the calculator");
}
Python side
results= np.zeros((N, M))
run_calculator(input_file, results)
This way I also do not expose classes Setup and Calculator to the python side.
Upvotes: 3