tensor.reduce_l1

tensor.reduce_l1

   fn reduce_l1(self: @Tensor<T>, axis: usize, keepdims: bool) -> Tensor<T>;

Computes the L1 norm of the input tensor's elements along the provided axes.

Args

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

• axis(usize) - The dimension to reduce.

• keepdims(bool) - If true, retains reduced dimensions with length 1.

Panics

• Panics if axis is not in the range of the input tensor's dimensions.

Returns

A new Tensor<T> instance with the specified axis reduced by summing its elements.

Examples

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

use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};

fn reduce_l1_example() -> Tensor<u32> {
    let tensor = TensorTrait::<u32>::new(
        shape: array![2, 2, 2].span(), data: array![0, 1, 2, 3, 4, 5, 6, 7].span(),
    );

    // We can call `reduce_l1` function as follows.
    return tensor.reduce_l1(axis: 1, keepdims: false);
}
>>> [[2,4],[10,12]]