dpnp.not_equal

dpnp.not_equal(x1, x2, /, out=None, *, order='K', where=True, dtype=None, subok=True, **kwargs)

Return the truth value of (x1 != x2) element-wise.

For full documentation refer to numpy.not_equal.

Returns:

out – Output array of bool type, element-wise comparison of x1 and x2.

Return type:

dpnp.ndarray

Limitations

Parameters x1 and x2 are supported as either scalar, dpnp.ndarray or dpctl.tensor.usm_ndarray, but both x1 and x2 can not be scalars at the same time. 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.equal

Return (x1 == x2) element-wise.

dpnp.greater

Return the truth value of (x1 > x2) element-wise.

dpnp.greater_equal

Return the truth value of (x1 >= x2) element-wise.

dpnp.less

Return the truth value of (x1 < x2) element-wise.

dpnp.less_equal

Return the truth value of (x1 =< x2) element-wise.

Examples

>>> import dpnp as np
>>> x1 = np.array([1., 2.])
>>> x2 = np.arange(1., 3.)
>>> np.not_equal(x1, x2)
array([False, False])

The != operator can be used as a shorthand for not_equal on dpnp.ndarray.

>>> a = np.array([1., 2.])
>>> b = np.array([1., 3.])
>>> a != b
array([False,  True])