dpnp.tensor.bitwise_xor¶
- dpnp.tensor.bitwise_xor¶
Computes the bitwise XOR of the underlying binary representation of each element x1_i of the input array x1 with the respective element x2_i of the input array x2.
- Parameters:
x1 (usm_ndarray) -- First input array, expected to have integer or boolean data type.
x2 (usm_ndarray) -- Second input array, also expected to have integer or boolean data type.
out ({None, usm_ndarray}, optional) --
Output array to populate. Array must have the correct shape and the expected data type.
Default:
None.order ({"C", "F", "A", "K"}, optional) --
Memory layout of the new output array, if parameter out is
None.Default:
"K".
- Returns:
out -- An array containing the element-wise results. The data type of the returned array is determined by the Type Promotion Rules.
- Return type: