maxframe.tensor.copysign#

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

Change the sign of x1 to that of x2, element-wise.

If both arguments are arrays or sequences, they have to be of the same length. If x2 is a scalar, its sign will be copied to all elements of x1.

Parameters:

x1 (array_like) – Values to change the sign of.
x2 (array_like) – The sign of x2 is copied to x1.
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 tensor 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:

out – The values of x1 with the sign of x2.

Return type:

array_like

Examples

>>> import maxframe.tensor as mt

>>> mt.copysign(1.3, -1).execute()
-1.3
>>> (1/mt.copysign(0, 1)).execute()
inf
>>> (1/mt.copysign(0, -1)).execute()
-inf

>>> mt.copysign([-1, 0, 1], -1.1).execute()
array([-1., -0., -1.])
>>> mt.copysign([-1, 0, 1], mt.arange(3)-1).execute()
array([-1.,  0.,  1.])