Function eager_einsum_ad 

pub fn eager_einsum_ad<B: TensorBackend>(
    inputs: &[&EagerTensor<B>],
    subscripts: &str,
) -> Result<EagerTensor<B>>

Execute an einsum eagerly and record it for reverse-mode autodiff.

Examples

use tenferro::eager_einsum::eager_einsum_ad;
use tenferro::{EagerTensor, Tensor};

let a = EagerTensor::from_tensor(Tensor::from_vec(
    vec![2, 3],
    vec![1.0_f64, 2.0, 3.0, 4.0, 5.0, 6.0],
));
let b = EagerTensor::from_tensor(Tensor::from_vec(
    vec![3, 2],
    vec![1.0_f64, 2.0, 3.0, 4.0, 5.0, 6.0],
));
let c = eager_einsum_ad(&[&a, &b], "ij,jk->ik").unwrap();

assert_eq!(c.data().shape(), &[2, 2]);
assert_eq!(c.data().as_slice::<f64>().unwrap(), &[22.0, 28.0, 49.0, 64.0]);