dpnp.not_equal

dpnp.not_equal(x1, x2)[source]

Return (x1 != x2) element-wise.

For full documentation refer to numpy.not_equal.

Limitations

At least either x1 or x2 should be as dpnp.ndarray. If either x1 or x2 is scalar then other one should be dpnp.ndarray. 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.)
>>> out = np.not_equal(x1, x2)
>>> [i for i in out]
[False, False]