main
Ask or search…
⌃K
Links
Comment on page

tensor.equal

#tensor.equal
fn equal(self: @Tensor<T>, other: @Tensor<T>) -> Tensor<usize>;
Check if two tensors are equal 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<T>) - The first tensor to be equated
  • other(@Tensor<T>) - The second tensor to be equated

Panics

  • Panics if the shapes are not equal or broadcastable

Returns

A new Tensor<usize> of booleans (1 if equal, 0 otherwise) with the same shape as the broadcasted inputs.

Examples

Case 1: Compare tensors with same shape
use array::{ArrayTrait, SpanTrait};
​
use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
​
fn eq_example() -> Tensor<usize> {
let tensor_1 = TensorTrait::<u32>::new(
shape: array![3, 3, 3].span(), data: array![0, 1, 2, 3, 4, 5, 6, 7, 8].span(),
);
​
let tensor_2 = TensorTrait::<u32>::new(
shape: array![3, 3, 3].span(), data: array![0, 1, 2, 3, 4, 5, 9, 1, 5].span(),
);
​
// We can call `equal` function as follows.
return tensor_1.equal(@tensor_2);
}
>>> [1,1,1,1,1,0,0,0]
Case 2: Compare tensors with different shapes
use array::{ArrayTrait, SpanTrait};
​
use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
​
fn eq_example() -> Tensor<usize> {
let tensor_1 = TensorTrait::<u32>::new(
shape: array![3, 3, 3].span(), data: array![0, 1, 2, 3, 4, 5, 6, 7, 8].span(),
);
​
let tensor_2 = TensorTrait::<u32>::new(shape: array![3].span(), data: array![0, 1, 2].span(),);
​
// We can call `equal` function as follows.
return tensor_1.equal(@tensor_2);
}
>>> [1,1,1,0,0,0,0,0,0]