tensor.and

#tensor.and

    fn and(self: @Tensor<bool>, other: @Tensor<bool>) -> Tensor<bool>;

Computes the logical AND of two tensors element-wise. The input tensors must have either:

• Exactly the same shape

• The same number of dimensions and the length of each dimension is either a common length or 1.

Args

• self(@Tensor<bool>) - The first tensor to be compared

• other(@Tensor<bool>) - The second tensor to be compared

Panics

• Panics if the shapes are not equal or broadcastable

Returns

A new Tensor<bool> with the same shape as the broadcasted inputs.

Examples

use core::array::{ArrayTrait, SpanTrait};

use orion::operators::tensor::{TensorTrait, Tensor, BoolTensor};

fn and_example() -> Tensor<bool> {
    let tensor_1 = TensorTrait::<bool>::new(
        shape: array![3, 3].span(), data: array![false, true, false, false, false, true, true, false, true, false, false, true].span(),
    );

    let tensor_2 = TensorTrait::<bool>::new(
        shape: array![3, 3].span(), data: array![false, false, true, true, false, true, false, true, false, true, false, true].span(),
    );

    return tensor_1.and(@tensor_2);
}
>>> [false, false, false, false, false, true, false, false, false, false, false, true]