# tensorplay.functional.hypot

Source: https://www.tensorplay.cn/docs/generated/tensorplay.functional.hypot.html

```python
tensorplay.functional.hypot(input, other, *, out=None) → Tensor
```

Given the legs of a right triangle, return its hypotenuse.

$$\text{out}_{i} = \sqrt{\text{input}_{i}^{2} + \text{other}_{i}^{2}}$$

The shapes of input and other must be
[broadcastable](/docs/notes/broadcasting.html#broadcasting-semantics).

Parameters:

- input ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the first input tensor

- other ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the second input tensor

Keyword Arguments:

out ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor), optional) – the output tensor.

Example:

```
>>> a = tensorplay.hypot(tensorplay.tensor([4.0]), tensorplay.tensor([3.0, 4.0, 5.0]))
tensor([5.0000, 5.6569, 6.4031])
```