pub fn einsum_with_subscripts<Alg, Backend>(
ctx: &mut BackendContext<Alg, Backend>,
subscripts: &Subscripts,
operands: &[&Tensor<Alg::Scalar>],
size_dict: Option<&HashMap<u32, usize>>,
) -> Result<Tensor<Alg::Scalar>>where
Alg: Semiring,
Alg::Scalar: Scalar + Conjugate + HasAlgebra<Algebra = Alg>,
Backend: EinsumBackend<Alg>,
BackendContext<Alg, Backend>: TensorTempPoolContext,Expand description
Execute einsum with pre-built Subscripts.
Avoids re-parsing the subscript string on each call.
§Examples
ⓘ
use tenferro_algebra::Standard;
use tenferro_einsum::{einsum_with_subscripts, Subscripts};
use tenferro_prims::{CpuBackend, CpuContext};
let mut ctx = CpuContext::new(1);
let subs = Subscripts::new(&[&[0, 1], &[1, 2]], &[0, 2]);
let out = einsum_with_subscripts::<Standard<f64>, CpuBackend>(&mut ctx, &subs, &[&a, &b], None)
.unwrap();