Function eigen_rrule 

pub fn eigen_rrule<T: Scalar>(
    _tensor: &Tensor<T>,
    _cotangent: &EigenCotangent<T>,
) -> AdResult<Tensor<T>>

Reverse-mode AD rule for eigendecomposition (VJP / pullback).

Examples

use tenferro_linalg::{eigen_rrule, EigenCotangent};
use tenferro_tensor::{Tensor, MemoryOrder};
use tenferro_device::LogicalMemorySpace;

let col = MemoryOrder::ColumnMajor;
let mem = LogicalMemorySpace::MainMemory;
let a = Tensor::<f64>::zeros(&[3, 3], mem, col);
let cotangent = EigenCotangent {
    values: Some(Tensor::ones(&[3], mem, col)),
    vectors: None,
};
let grad_a = eigen_rrule(&a, &cotangent).unwrap();