x, y = np.meshgrid(np.arange(range_x), np.arange(range_y)) # np.savetxt('reshape_data.txt', x, delimiter=' ', fmt="%i") x_o = x - range_x / 2 y_o = y - range_y / 2 x_i = x - dx y_i = y - dy c++ Eigen::Tensor

这段代码的C++ Eigen::Tensor实现如下：

#include <iostream>
#include <Eigen/Dense>
#include <unsupported/Eigen/CXX11/Tensor>

using namespace Eigen;
using namespace std;

int main() {
    int range_x = 100;
    int range_y = 100;

    Tensor<float, 2> x(range_x, range_y);
    Tensor<float, 2> y(range_x, range_y);
    for (int i = 0; i < range_x; i++) {
        for (int j = 0; j < range_y; j++) {
            x(i, j) = i;
            y(i, j) = j;
        }
    }

    Tensor<float, 2> x_o(range_x, range_y);
    Tensor<float, 2> y_o(range_x, range_y);
    Tensor<float, 2> x_i(range_x, range_y);
    Tensor<float, 2> y_i(range_x, range_y);
    float dx = 1.5;
    float dy = 2.0;
    for (int i = 0; i < range_x; i++) {
        for (int j = 0; j < range_y; j++) {
            x_o(i, j) = x(i, j) - range_x / 2.0;
            y_o(i, j) = y(i, j) - range_y / 2.0;
            x_i(i, j) = x(i, j) - dx;
            y_i(i, j) = y(i, j) - dy;
        }
    }

    cout << "x_o: \n" << x_o << endl;
    cout << "y_o: \n" << y_o << endl;
    cout << "x_i: \n" << x_i << endl;
    cout << "y_i: \n" << y_i << endl;

    return 0;
}

其中，使用了Eigen::Tensor来存储矩阵，通过双重循环来实现numpy中的arange()函数的功能，最后分别计算了x_o、y_o、x_i和y_i。注意，C++中整数相除默认向下取整，因此需要将除数改为2.0才能得到正确的结果。