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tensor.argmax
fn argmax(self: @Tensor<T>, axis: usize, keepdims: Option<bool>, select_last_index: Option<bool>) -> Tensor<usize>;
Returns the index of the maximum value along the specified axis.
self(@Tensor<T>) - The input tensor.axis(usize) - The axis along which to compute the argmax.keepdims(Option<bool>) - If true, retains reduced dimensions with length 1. Defaults to true.select_last_index(Option<bool>) - If true, the index of the last occurrence of the maximum value is returned. Defaults to false.
- Panics if axis is not in the range of the input tensor's dimensions.
A new
Tensor<T> instance containing the indices of the maximum values along the specified axis.Case 1: argmax with default parameters
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
fn argmax_example() -> Tensor<usize> {
let tensor = TensorTrait::<u32>::new(
shape: array![2, 2, 2].span(), data: array![0, 1, 2, 3, 4, 4, 5, 5].span(),
);
// We can call `argmax` function as follows.
return tensor.argmax(axis: 2, keepdims: Option::None(()), select_last_index: Option::None(()));
}
>>> [[[1,1],[0,0]]]
Case 2: argmax with keepdims set to false
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
fn argmax_example() -> Tensor<usize> {
let tensor = TensorTrait::<u32>::new(
shape: array![2, 2, 2].span(), data: array![0, 1, 2, 3, 4, 4, 5, 5].span(),
);
// We can call `argmax` function as follows.
return tensor
.argmax(axis: 2, keepdims: Option::Some(false), select_last_index: Option::None(()));
}
>>> [[1,1],[0,0]]
Case 3: argmax with select_last_index set to true
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
fn argmax_example() -> Tensor<usize> {
let tensor = TensorTrait::<u32>::new(
shape: array![2, 2, 2].span(), data: array![0, 1, 2, 3, 4, 4, 5, 5].span(),
);
// We can call `argmax` function as follows.
return tensor
.argmax(axis: 2, keepdims: Option::None(()), select_last_index: Option::Some(true));
}
>>> [[[1,1],[1,1]]]
Last modified 2mo ago