dpnp.exp2
- dpnp.exp2(x, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)
Computes the base-2 exponential for each element \(x_i\) for input array x.
For full documentation refer to
numpy.exp2
.- Parameters:
x ({dpnp.ndarray, usm_ndarray}) -- Input array, expected to have a floating-point data type.
out ({None, dpnp.ndarray, usm_ndarray}, optional) --
Output array to populate. Array must have the correct shape and the expected data type.
Default:
None
.order ({None, "C", "F", "A", "K"}, optional) --
Memory layout of the newly output array, if parameter out is
None
.Default:
"K"
.
- Returns:
out -- An array containing the element-wise base-2 exponentials. The data type of the returned array is determined by the Type Promotion Rules.
- Return type:
dpnp.ndarray
Limitations
Parameters where and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise
NotImplementedError
exception will be raised.See also
dpnp.exp
Calculate \(e^x\), element-wise.
dpnp.expm1
Calculate \(e^x - 1\), element-wise.
dpnp.power
Calculate \({x1}^{x2}\), element-wise.
Examples
>>> import dpnp as np >>> x = np.arange(3.) >>> np.exp2(x) array([1., 2., 4.])