Function eigen_frule 

pub fn eigen_frule<T, C>(
    ctx: &mut C,
    tensor: &Tensor<T>,
    tangent: &Tensor<T>,
) -> AdResult<(EigenResult<T, T::Real>, EigenResult<T, T::Real>)>
where
    T: KernelLinalgScalar + Conjugate,
    T::Real: KernelLinalgScalar<Real = T::Real> + Float,
    C: TensorLinalgContextFor<T>,
    C::Backend: 'static,

Forward-mode AD rule for eigendecomposition (JVP / pushforward).

Examples

use tenferro_linalg::eigen_frule;
use tenferro_prims::CpuContext;
use tenferro_tensor::{Tensor, MemoryOrder};
use tenferro_device::LogicalMemorySpace;

let col = MemoryOrder::ColumnMajor;
let mem = LogicalMemorySpace::MainMemory;
let mut ctx = CpuContext::new(1);
let a = Tensor::<f64>::zeros(&[3, 3], mem, col).unwrap();
let da = Tensor::<f64>::ones(&[3, 3], mem, col).unwrap();
let (result, dresult) = eigen_frule(&mut ctx, &a, &da).unwrap();