Function einsum_binary_into 

pub fn einsum_binary_into<Alg, Backend>(
    ctx: &mut BackendContext<Alg, Backend>,
    subscripts: &str,
    left: &Tensor<Alg::Scalar>,
    right: &Tensor<Alg::Scalar>,
    alpha: Alg::Scalar,
    beta: Alg::Scalar,
    output: &mut Tensor<Alg::Scalar>,
    size_dict: Option<&HashMap<u32, usize>>,
) -> Result<()>
where
    Alg: Semiring,
    Alg::Scalar: Scalar + Conjugate + HasAlgebra<Algebra = Alg>,
    Backend: EinsumBackend<Alg>,
    BackendContext<Alg, Backend>: TensorTempPoolContext,

Execute a binary einsum and accumulate into an existing output buffer.

Computes output = alpha * einsum(left, right) + beta * output.

Examples

use tenferro_algebra::Standard;
use tenferro_einsum::einsum_binary_into;
use tenferro_device::LogicalMemorySpace;
use tenferro_tensor::{MemoryOrder, Tensor};
use tenferro_prims::{CpuBackend, CpuContext};

let mut ctx = CpuContext::new(1);
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();
let mut c = Tensor::<f64>::zeros(&[2, 2], LogicalMemorySpace::MainMemory, col).unwrap();
einsum_binary_into::<Standard<f64>, CpuBackend>(
    &mut ctx, "ij,jk->ik", &a, &b, 1.0, 0.0, &mut c, None
)
.unwrap();