fn log(self: @Tensor<T>) -> Tensor<T>;

Computes the natural log of all elements of the input tensor.



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


Returns a new tensor in T with the natural log of the elements of 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, FP8x23Tensor};
use orion::numbers::{FP8x23, FixedTrait};

fn log_example() -> Tensor<FP8x23> {
    let tensor = TensorTrait::<FP8x23>::new(
        shape: array![2, 2].span(), 
        data: array![
                FixedTrait::new_unscaled(0, false), 
                FixedTrait::new_unscaled(1, false), 
                FixedTrait::new_unscaled(2, false), 
                FixedTrait::new_unscaled(100, false), 

    // We can call `log` function as follows.
    return tensor.log();
>>> [[0, 5814538, 9215825, 38630966]]
// The fixed point representation of
/// [[0, 0.693147, 1.098612, 4.605170]]

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