maxframe.tensor.hypot#
- maxframe.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 maxframe.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.]])