Table Of Contents
Table Of Contents

logical_xor

mxnet.ndarray.logical_xor(lhs, rhs)[source]

Returns the result of element-wise logical xor comparison operation with broadcasting.

For each element in input arrays, return 1(true) if lhs elements or rhs elements are true, otherwise return 0(false).

Equivalent to bool(lhs) ^ bool(rhs) and mx.nd.broadcast_logical_xor(lhs, rhs).

Note

If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape.

Parameters:
  • lhs (scalar or array) – First input of the function.
  • rhs (scalar or array) – Second input of the function. If lhs.shape != rhs.shape, they must be broadcastable to a common shape.
Returns:

Output array of boolean values.

Return type:

NDArray

Examples

>>> x = mx.nd.ones((2,3))
>>> y = mx.nd.arange(2).reshape((2,1))
>>> z = mx.nd.arange(2).reshape((1,2))
>>> x.asnumpy()
array([[ 1.,  1.,  1.],
       [ 1.,  1.,  1.]], dtype=float32)
>>> y.asnumpy()
array([[ 0.],
       [ 1.]], dtype=float32)
>>> z.asnumpy()
array([[ 0.,  1.]], dtype=float32)
>>> mx.nd.logical_xor(x, y).asnumpy()
array([[ 1.,  1.,  1.],
       [ 0.,  0.,  0.]], dtype=float32)