jax.numpy.power#
- jax.numpy.power(x1, x2, /)[source]#
First array elements raised to powers from second array, element-wise.
LAX-backend implementation of
numpy.power()
.Original docstring below.
Raise each base in x1 to the positionally-corresponding power in x2. x1 and x2 must be broadcastable to the same shape.
An integer type raised to a negative integer power will raise a
ValueError
.Negative values raised to a non-integral value will return
nan
. To get complex results, cast the input to complex, or specify thedtype
to becomplex
(see the example below).- Parameters:
x1 (array_like) – The bases.
x2 (array_like) – The exponents. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which becomes the shape of the output).
- Returns:
y – The bases in x1 raised to the exponents in x2. This is a scalar if both x1 and x2 are scalars.
- Return type:
ndarray