dpnp.expm1

dpnp.expm1(x, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)

Computes the exponential minus 1 for each element x_i of input array x.

This function calculates exp(x) - 1.0 more accurately for small values of x.

For full documentation refer to numpy.expm1.

Parameters:

  • x ({dpnp.ndarray, usm_ndarray}) – Input array, expected to have numeric data type.

  • out ({None, dpnp.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 – An array containing the element-wise exp(x) - 1 results. 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 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)