mindspore.ops.bitwise_xor
- mindspore.ops.bitwise_xor(input, other)[source]
Returns bitwise xor of two tensors element-wise.
\[out_i = input_{i} \oplus other_{i}\]Args of input and other 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
- Returns
Tensor, has the same type as the input.
- Raises
TypeError – If input or other is not a Tensor.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore >>> import numpy as np >>> from mindspore import Tensor, ops >>> input = Tensor(np.array([0, 0, 1, -1, 1, 1, 1]), mindspore.int16) >>> other = Tensor(np.array([0, 1, 1, -1, -1, 2, 3]), mindspore.int16) >>> output = ops.bitwise_xor(input, other) >>> print(output) [ 0 1 0 0 -2 3 2]