nansum_

nansum_(
    x: &Tensor<T>, 
    dims: 
        &[i64]
        | &[i64; _]
        | [i64; _] 
        | Vec<i64> 
        | &Vec<i64>
        | i64,
    keepdim: bool,
    init_out: bool,
    out: &Tensor<T> | Tensor<T>
) -> Result<Tensor<T>, TensorError>

use hpt::{ops::NormalEvalReduce, Tensor, error::TensorError};

fn main() -> Result<(), TensorError> {
    // NaN sum over dimension 0
    let a = Tensor::<f32>::new([1.0, f32::NAN, 3.0]);
    let mut out = Tensor::<f32>::new([0.0]);
    let mut b = a.nansum_([0], false, false, &mut out)?;
    println!("{}", b); // [4.]

    // NaN sum over multiple dimensions with keepdim=true
    let c = Tensor::<f32>::new([[1.0, f32::NAN], [3.0, 4.0]]);
    let d = c.nansum_([0, 1], true, true, &mut b)?;
    println!("{}", d); // [[8.]]
    Ok(())
}