I have the following Eigen Tensor:
Eigen::Tensor m(3,10,10);
I want to access the 1st matrix. In numpy I would do it as such
You can access parts of a tensor using .slice(...)
or .chip(...)
. Do this to access the first matrix, equivalent to numpy m(0,:,:)
:
Eigen::Tensor<double,3> m(3,10,10); //Initialize
m.setRandom(); //Set random values
std::array<long,3> offset = {0,0,0}; //Starting point
std::array<long,3> extent = {1,10,10}; //Finish point
std::array<long,2> shape2 = {10,10}; //Shape of desired rank-2 tensor (matrix)
std::cout << m.slice(offset, extent).reshape(shape2) << std::endl; //Extract slice and reshape it into a 10x10 matrix.
If you want the "second" matrix, you use offset={1,0,0}
instead, and so on.
You can find the most recent documentation here.