x, y = np.meshgrid(np.arange(range_x), np.arange(range_y)) c++ Eigen::Tensor

The equivalent code in C++ using Eigen::Tensor would be:

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

using namespace Eigen;

int main()
{
  int range_x = 10;
  int range_y = 5;

  Tensor<int, 2> x(range_x, range_y);
  Tensor<int, 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;
    }
  }

  // Do something with x and y tensors

  return 0;
}

This creates two `Tensor<int, 2>` objects named `x` and `y`, with dimensions `range_x` x `range_y`. The nested loops are used to initialize the values of the tensors. You can replace the loop with other initialization methods like `setConstant()`, `setRandom()`, or `setLinSpaced()`, depending on your needs.