fn softplus(tensor: @Tensor<T>) -> Tensor<T>;

Applies the Softplus function to an n-dimensional input Tensor such that the elements of the n-dimensional output Tensor lie in the range [-1,1].

softplus(xi)=log(1+exi)\text{softplus}(x_i) = log({1 + e^{x_i}})


  • tensor(@Tensor<T>) - The input tensor.


A Tensor of fixed point numbers with the same shape than the input Tensor.

Type Constraints

Constrain input and output types to fixed point tensors.


use core::array::{ArrayTrait, SpanTrait};

use orion::operators::tensor::{TensorTrait, Tensor, FP8x23};
use orion::operators::nn::{NNTrait, FP8x23NN};
use orion::numbers::{FP8x23, FixedTrait};

fn softplus_example() -> Tensor<FP8x23> {
    let tensor = TensorTrait::<FP8x23>::new(
        shape: array![2, 2].span(),
        data: array![
            FixedTrait::new(0, false),
            FixedTrait::new(1, false),
            FixedTrait::new(2, false),
            FixedTrait::new(3, false),

    return NNTrait::softplus(@tensor);
>>> [[5814540,11016447],[17841964,25573406]]
    // The fixed point representation of
    // [[0.6931452, 1.31326096],[2.12692796, 3.04858728]]

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