randn

randn(shape: &[i64] | &Vec<i64> | &[i64; _]) -> Result<Tensor<T>, TensorError>

create a Tensor with data in normal distribution. mean = 0.0, std_dev = 1.0.

Parameters:

shape: shape of the output

Returns:

Tensor with type T

Examples:

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

fn main() -> Result<(), TensorError> {
    let a = Tensor::<f32>::randn([10, 10])?;
    println!("{}", a);
    Ok(())
}

Backend Support

Backend	Supported
CPU	✅
Cuda	✅