mindspore.ops.logical_xor
- mindspore.ops.logical_xor(input, other)[source]
Computes the “logical XOR” of two tensors element-wise.
\[out_{i} = x_{i} \oplus y_{i}\]- Parameters
- Returns
Tensor, the shape is the same as the one after broadcasting, and the data type is bool.
- Raises
TypeError – If neither input nor other is a Tensor whose data type is bool.
ValueError – If the shape of two inputs cannot be broadcast.
- Supported Platforms:
Ascend
CPU
Examples
>>> x = Tensor(np.array([True, False, True]), mindspore.bool_) >>> y = Tensor(np.array([True, True, False]), mindspore.bool_) >>> output = ops.logical_xor(x, y) >>> print(output) [False True True]