Function qr 

pub fn qr<T, C>(ctx: &mut C, tensor: &Tensor<T>) -> Result<QrResult<T>, Error>
where
    T: KernelLinalgScalar,
    C: TensorLinalgContextFor<T>,
    <C as TensorLinalgContextFor<T>>::Backend: 'static,

Compute the QR decomposition of a batched matrix.

Input shape: (m, n, *).

The function internally normalizes input to column-major contiguous layout. If the input is not already contiguous, an internal copy is performed.

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();

Errors

Returns an error if the input has fewer than 2 dimensions.