rand
rand(
shape: &[i64] | &Vec<i64> | &[i64; _],
low: T,
high: T
) -> Result<Tensor<T>, TensorError>
create a Tensor with data uniformly distributed between low
and high
.
Parameters:
shape
: shape of the output
low
: the lowest value
high
: the highest value
Returns:
Tensor with type T
Examples:
use hpt::{error::TensorError, ops::Random, Tensor};
fn main() -> Result<(), TensorError> {
let a = Tensor::<f32>::rand([10, 10], 0.0, 10.0)?;
println!("{}", a);
Ok(())
}
Backend Support
Backend | Supported |
---|---|
CPU | ✅ |
Cuda | ✅ |