exponential_like

exponential_like(
    x: &Tensor<T>,
    lambda: T
) -> Result<Tensor<T>, TensorError>

Same as exponential but the shape will be based on x. Creates a Tensor with values drawn from an exponential distribution with rate parameter lambda.

Parameters:

x: Input Tensor to derive the shape from

lambda: Rate parameter (λ) of the exponential distribution. Must be positive.

Returns:

Tensor with type T containing random values from the exponential distribution.

Examples:

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

fn main() -> Result<(), TensorError> {
    // Create an initial tensor
    let x = Tensor::<f32>::randn(&[10, 10])?;
    
    // Create a new tensor with same shape as x but with exponential distribution
    let e = x.exponential_like(2.0)?;
    println!("{}", e);
    Ok(())
}

Backend Support

Backend	Supported
CPU	✅
Cuda	❌