x, y = np.meshgrid(np.arange(range_x), np.arange(range_y)) c++ Eigen::Tensor
时间: 2023-08-21 09:33:37 浏览: 51
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.
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