dpnp.expm1

dpnp.expm1(x, /, out=None, *, order='K', where=True, dtype=None, subok=True, **kwargs)[source]

Return the exponential of the input array minus one, element-wise.

For full documentation refer to numpy.expm1.

Returns:: out – The exponential of x minus one, element-wise.
Return type:: dpnp.ndarray

Limitations

Parameter x is only supported as either dpnp.ndarray or dpctl.tensor.usm_ndarray. 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. Input array data types are limited by supported DPNP Data types.

See also

dpnp.exp: Calculate exponential for all elements in the array.
dpnp.exp2: Calculate 2**x for all elements in the array.
dpnp.log1p: Callculate log(1 + x), the inverse of expm1.

Examples

>>> import dpnp as np
>>> x = np.arange(3.)
>>> np.expm1(x)
array([0.0, 1.718281828, 6.389056099])

>>> np.expm1(np.array(1e-10))
array(1.00000000005e-10)

>>> np.exp(np.array(1e-10)) - 1
array(1.000000082740371e-10)