sequence.sequence_erase
tensor.sequence_erase
fn sequence_erase(sequence: Array<Tensor<T>>, position: Option<Tensor<i32>>) -> Array<Tensor<T>>;
Outputs the tensor sequence with the erased tensor at the specified position.
Args
tensors
(Array<Tensor<T>>
) - The tensor sequence.position
(Option<Tensor<i32>>
) - The optional position tensor (by default erases the last tensor).
Panics
Panics if position is not a scalar
Panics if position is out of bounds [-n, n - 1]
Returns
The tensor sequence Array<Tensor<T>>
with the erased tensor at the specified position.
Examples
use core::array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor, I32Tensor};
fn sequence_erase_example() -> Tensor<u32> {
let tensor1 = TensorTrait::new(shape: array![2, 2].span(), data: array![0, 1, 2, 3].span());
let tensor2 = TensorTrait::new(shape: array![2, 2].span(), data: array![4, 5, 6, 7].span());
let tensor3 = TensorTrait::new(shape: array![2, 2].span(), data: array![8, 9, 10, 11].span());
let mut sequence = ArrayTrait::new();
sequence.append(tensor1);
sequence.append(tensor2);
sequence.append(tensor3);
let position = TensorTrait::new(shape: array![].span(), data: array![IntegerTrait::new(1, false)].span());
let result = TensorTrait::sequence_erase(sequence, position);
return result;
}
>>> [[0, 1, 2, 3], [8, 9, 10, 11]]
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