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tensor.max
fn max(tensors: Span<Tensor<T>>) -> Tensor<T>;
Returns the element-wise maximum values from a list of input tensors 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.
tensors(Span<Tensor<T>>,) - Array of the input tensors
A new
Tensor<T> containing the element-wise maximum values- Panics if tensor array is empty
- Panics if the shapes are not equal or broadcastable
Case 1: Process tensors with same shape
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
fn max_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![0, 3, 1, 2].span(),);
let result = TensorTrait::max(tensors: array![tensor1, tensor2].span());
return result;
}
>>> [0, 3, 2, 3]
result.shape
>>> (2, 2)
Case 2: Process tensors with different shapes
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
fn max_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![1, 2].span(), data: array![1, 4].span(),);
let result = TensorTrait::max(tensors: array![tensor1, tensor2].span());
return result;
}
>>> [1, 4, 2, 4]
result.shape
>>> (2, 2)
Last modified 27d ago