mindspore.ops.BitwiseXor

class mindspore.ops.BitwiseXor[source]

Returns bitwise xor of two tensors element-wise.

\[out_i = x_{i} \oplus y_{i}\]

Inputs of x and y comply with the implicit type conversion rules to make the data types consistent. If they have different data types, lower priority data type will be converted to relatively highest priority data type. RuntimeError exception will be thrown when the data type conversion of Parameter is required.

Inputs:

x (Tensor) - The input tensor with int16, int32 or uint16 data type.
y (Tensor) - The input tensor with same type as the x.

Outputs:

Tensor, has the same type as the x.

Raises: TypeError – If x or y is not a Tensor.

Supported Platforms:: Ascend

Examples

>>> x = Tensor(np.array([0, 0, 1, -1, 1, 1, 1]), mindspore.int16)
>>> y = Tensor(np.array([0, 1, 1, -1, -1, 2, 3]), mindspore.int16)
>>> bitwise_xor = ops.BitwiseXor()
>>> output = bitwise_xor(x, y)
>>> print(output)
[ 0  1  0  0 -2  3  2]