Struct QrResult 

pub struct QrResult<T: Scalar> {
    pub q: Tensor<T>,
    pub r: Tensor<T>,
}

QR decomposition result: A = Q * R.

For an input of shape (m, n, *) with k = min(m, n):

• q: shape (m, k, *)
• r: shape (k, n, *)

Examples

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

let mut ctx = CpuContext::new(1);
let a = Tensor::<f64>::zeros(
    &[4, 3],
    LogicalMemorySpace::MainMemory,
    MemoryOrder::ColumnMajor,
).unwrap();
let result = qr(&mut ctx, &a).unwrap();
assert_eq!(result.q.dims(), &[4, 3]);
assert_eq!(result.r.dims(), &[3, 3]);

Fields

q: Tensor<T>

Orthonormal factor. Shape: (m, k, *).

r: Tensor<T>

Upper-triangular factor. Shape: (k, n, *).

Trait Implementations

impl<T: Debug + Scalar> Debug for QrResult<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.