mindspore.ops.bitwise_xor

mindspore.ops.bitwise_xor(x, y)[source]

Returns bitwise xor of two tensors element-wise.

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

Args of x and y comply with the implicit type conversion rules to make the data types consistent. If they have different data types, the lower priority data type will be converted to the relatively highest priority data type.

Parameters

  • x (Tensor) – The input tensor with int16, int32 or uint16 data type.

  • y (Tensor) – The input tensor with same type as the x.

Returns

Tensor, has the same type as the x.

Raises

  • TypeError – If x or y is not a Tensor.

  • RuntimeError – If the data type of x, y conversion of Parameter is required when data type conversion of Parameter is not supported.

Supported Platforms:

Ascend CPU

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)
>>> output = ops.bitwise_xor(x, y)
>>> print(output)
[ 0  1  0  0 -2  3  2]