dpnp.logical_and

dpnp.logical_and(x1, x2, out=None, **kwargs)[source]

Compute the truth value of x1 AND x2 element-wise.

For full documentation refer to numpy.logical_and.

Limitations

Input arrays are supported as dpnp.ndarray. Otherwise the function will be executed sequentially on CPU. Input array data types are limited by supported DPNP Data types. Parameter out is supported only with default value None. Parameter where is supported only with default value True.

See also

dpnp.logical_or: Compute the truth value of x1 OR x2 element-wise.
dpnp.logical_not: Compute the truth value of NOT x element-wise.
dpnp.logical_xor: Compute the truth value of x1 XOR x2, element-wise.
dpnp.bitwise_and: Compute the bit-wise AND of two arrays element-wise.

Examples

>>> import dpnp as np
>>> x1 = np.array([True, False])
>>> x2 = np.array([False, False])
>>> out = np.logical_and(x1, x2)
>>> [i for i in out]
[False, False]