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)

x1, 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

z : Tensor
The hypotenuse of the triangle(s).
>>> 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)), [4]).execute()
array([[ 5.,  5.,  5.],
       [ 5.,  5.,  5.],
       [ 5.,  5.,  5.]])