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tensor.reshape
fn reshape(self: @Tensor<T>, target_shape: Span<usize>) -> Tensor<T>;
Returns a new tensor with the specified target shape and the same data as the input tensor.
self(@Tensor<T>) - The input tensor.target_shape(Span) - A span containing the target shape of the tensor.
- Panics if the target shape is incompatible with the input tensor's data.
A new
Tensor<T> with the specified target shape and the same data.use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
fn reshape_tensor_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 `reshape` function as follows.
return tensor.reshape(target_shape: array![2, 4].span());
}
>>> [[0,1,2,3], [4,5,6,7]]
Last modified 2mo ago