Function qr_rrule 

pub fn qr_rrule<T, C>(
    ctx: &mut C,
    tensor: &Tensor<T>,
    cotangent: &QrCotangent<T>,
) -> AdResult<Tensor<T>>
where
    T: KernelLinalgScalar,
    C: TensorLinalgContextFor<T>,
    C::Backend: 'static,

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

Examples

use tenferro_linalg::{qr_rrule, QrCotangent};
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::from_slice(
    &[1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 1.0, 1.0],
    &[4, 3],
    col,
).unwrap();
let cotangent = QrCotangent {
    q: Some(Tensor::ones(&[4, 3], mem, col).unwrap()),
    r: None,
};
let grad_a = qr_rrule(&mut ctx, &a, &cotangent).unwrap();