pub fn einsum_binary_with_subscripts<Alg, Backend>(
ctx: &mut BackendContext<Alg, Backend>,
subscripts: &Subscripts,
left: &Tensor<Alg::Scalar>,
right: &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 a binary einsum from pre-parsed subscripts.
§Errors
Returns an error if subscripts does not contain exactly two inputs.
§Examples
ⓘ
use tenferro_algebra::Standard;
use tenferro_einsum::{einsum_binary_with_subscripts, Subscripts};
use tenferro_tensor::{MemoryOrder, Tensor};
use tenferro_prims::{CpuBackend, CpuContext};
let mut ctx = CpuContext::new(1);
let col = MemoryOrder::ColumnMajor;
let subs = Subscripts::new(&[&[0, 1], &[1, 2]], &[0, 2]);
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();
let c =
einsum_binary_with_subscripts::<Standard<f64>, CpuBackend>(&mut ctx, &subs, &a, &b, None)
.unwrap();