dpnp.exp

dpnp.exp(x, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)

Computes the exponential for each element \(x_i\) of input array x.

For full documentation refer to numpy.exp.

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 exponential of x. 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.expm1

Calculate \(e^x - 1\), element-wise.

dpnp.exp2

Calculate \(2^x\), element-wise.

Examples

>>> import dpnp as np
>>> x = np.arange(3.)
>>> np.exp(x)
array([1.0, 2.718281828, 7.389056099])