dpnp.exp2

dpnp.exp2(x, /, out=None, *, order='K', where=True, dtype=None, subok=True, **kwargs)[source]

Calculate 2**p for all p in the input array.

For full documentation refer to numpy.exp2.

Parameters:

  • x ({dpnp.ndarray, usm_ndarray}) – Input array.

  • out (({None, dpnp.ndarray, usm_ndarray}, optional):) – Output array to populate. Array must have the correct shape and the expected data type.

  • order ({"C", "F", "A", "K"}, optional) – Memory layout of the newly output array, if parameter out is None. Default: “K”.

Returns:

out – Element-wise 2 to the power x.

Return type:

dpnp.ndarray

Limitations

Parameters where, dtype and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise the function will be executed sequentially on CPU.

See also

dpnp.exp

Calculate exponential for all elements in the array.

dpnp.expm1

exp(x) - 1, the inverse of dpnp.log1p.

dpnp.power

First array elements raised to powers from second array, element-wise.

Examples

>>> import dpnp as np
>>> x = np.arange(3.)
>>> np.exp2(x)
array([1., 2., 4.])