add_

add_(
    x: Tensor<A>, 
    y: &Tensor<B> | Tensor<B> | scalar,
    out: &mut Tensor<C> | Tensor<C>
) -> Result<Tensor<C>, TensorError>

Compute $\large x + y$ for all elements with out

Parameters:

x: First input tensor

y: Second input tensor

out: Tensor to write to

Returns:

Tensor with type C

Examples:

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

fn main() -> Result<(), TensorError> {
    let a = Tensor::<f32>::new([2.0]);
    let b = Tensor::<f32>::new([3.0]);
    let c = a.add_(&b, &mut a.clone())?;
    println!("{}", c);
    Ok(())
}

Backend Support

Backend	Supported
CPU	✅
Cuda	✅