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tensor.unsqueeze
fn unsqueeze(self: @Tensor<T>, axes: Span<usize>) -> Tensor<T>;
Insert single-dimensional entries to the shape of an input tensor (data). Takes one required input axes - which contains a list of dimension indices and this operator will insert a dimension of value 1 into the corresponding index of the output tensor (expanded).
self(@Tensor<T>) - Tensor of data to unsquezee.axes(Span<usize>) - List of integers indicating the dimensions to be inserted.
- Panics if the given axes have duplicate elements.
- Panics if one of the given axes is invalid.
Reshaped
Tensor<T> with same data as input.use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
fn unsqueeze_example() -> Tensor<u32> {
let tensor = TensorTrait::<u32>::new(
shape: array![2, 4].span(),
data: array![0, 1, 2, 3, 4, 5, 6, 7].span(),
);
return tensor.unsqueeze(
axes: array![0, 3].span(),
);
}
>>> [[[[0]
[1]
[2]
[3]]
[[4]
[5]
[6]
[7]]]]
Last modified 1mo ago