Function einsum_owned 

pub fn einsum_owned<T: Scalar + HasAlgebra>(
    _subscripts: &str,
    _operands: Vec<Tensor<T>>,
) -> Result<Tensor<T>>

Execute einsum using string notation, consuming the input tensors.

Takes ownership of the operands, allowing the implementation to reuse their buffers for intermediate results or the final output. This avoids allocation when an operand buffer is already the right shape and layout.

Examples

use tenferro_einsum::einsum_owned;
use tenferro_tensor::{Tensor, MemoryOrder};

let col = MemoryOrder::ColumnMajor;
let a = Tensor::<f64>::from_slice(&[1.0, 2.0, 3.0, 4.0], &[2, 2], col).unwrap();
let b = Tensor::<f64>::from_slice(&[5.0, 6.0, 7.0, 8.0], &[2, 2], col).unwrap();

// `a` and `b` are consumed; their buffers may be reused
let c = einsum_owned("ij,jk->ik", vec![a, b]).unwrap();

Errors

Returns an error if the notation is invalid or tensor shapes are incompatible with the subscripts.