# mars.tensor.hypot#

mars.tensor.hypot(x1, x2, out=None, where=None, **kwargs)[source]#

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

Equivalent to `sqrt(x1**2 + x2**2)`, element-wise. If x1 or x2 is scalar_like (i.e., unambiguously cast-able to a scalar type), it is broadcast for use with each element of the other argument. (See Examples)

Parameters
• x1 (array_like) – Leg of the triangle(s).

• x2 (array_like) – Leg of the triangle(s).

• out (Tensor, None, or tuple of Tensor and None, optional) – A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

• where (array_like, optional) – Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.

• **kwargs

Returns

z – The hypotenuse of the triangle(s).

Return type

Tensor

Examples

```>>> import mars.tensor as mt
```
```>>> mt.hypot(3*mt.ones((3, 3)), 4*mt.ones((3, 3))).execute()
array([[ 5.,  5.,  5.],
[ 5.,  5.,  5.],
[ 5.,  5.,  5.]])
```

Example showing broadcast of scalar_like argument:

```>>> mt.hypot(3*mt.ones((3, 3)), ).execute()
array([[ 5.,  5.,  5.],
[ 5.,  5.,  5.],
[ 5.,  5.,  5.]])
```