Function einsum 

pub fn einsum<A, T, B>(
    tensors: &[&Tensor<T, B>],
    ixs: &[&[usize]],
    iy: &[usize],
) -> Tensor<T, B>
where
    A: Algebra<Scalar = T, Index = u32>,
    T: Scalar + BackendScalar<B>,
    B: Backend + Default,

One-shot einsum with automatic optimization.

Arguments

• tensors - Input tensors
• ixs - Index labels for each input tensor
• iy - Output index labels

Example

use omeinsum::{einsum, Tensor, Cpu};
use omeinsum::algebra::MaxPlus;

let a = Tensor::<f32, Cpu>::from_data(&[1.0, 2.0, 3.0, 4.0, 5.0, 6.0], &[2, 3]);
let b = Tensor::<f32, Cpu>::from_data(&[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0], &[3, 4]);

// C[i,k] = max_j (A[i,j] + B[j,k])
let c = einsum::<MaxPlus<f32>, _, _>(&[&a, &b], &[&[0, 1], &[1, 2]], &[0, 2]);
assert_eq!(c.shape(), &[2, 4]);