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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.
self(@Tensor<T>) - The input tensor.axis(usize) - The dimension to reduce.keepdims(bool) - If true, retains reduced dimensions with length 1.
- Panics if axis is not in the range of the input tensor's dimensions.
A new
Tensor<T> instance with the specified axis reduced by summing its elements.use 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]]
Last modified 20d ago