dpnp.logical_not

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

Compute the truth value of NOT x element-wise.

For full documentation refer to numpy.logical_not.

Returns:: out – Boolean result with the same shape as x of the NOT operation on elements of x.
Return type:: dpnp.ndarray

Limitations

Parameters x is only supported as either dpnp.ndarray or dpctl.tensor.usm_ndarray. Parameters where, dtype and subok are supported with their default values. Otherwise the function will be executed sequentially on CPU. Input array data types are limited by supported DPNP Data types.

See also

dpnp.logical_and: Compute the truth value of x1 AND x2 element-wise.
dpnp.logical_or: Compute the truth value of x1 OR x2 element-wise.
dpnp.logical_xor: Compute the truth value of x1 XOR x2, element-wise.

Examples

>>> import dpnp as np
>>> x = np.array([True, False, 0, 1])
>>> np.logical_not(x)
array([False,  True,  True, False])

>>> x = np.arange(5)
>>> np.logical_not(x < 3)
array([False, False, False,  True,  True])