[Python] How do you invert a tensor of boolean values in Pytorch?

With NumPy, you can do it with np.invert(array), but there's no invert function in Pytorch. Let's say I have a 2D tensor of boolean values:

import torch

ts = torch.rand((10, 4)) < .5


tensor([[ True, True, False, True],
[ True, True, True, True],
[ True, False, True, True],
[False, True, True, False],
[False, True, True, True],
[ True, True, True, True],
[ True, False, True, True],
[False, True, False, True],
[ True, True, False, True],
[False, False, True, False]])


How do I transform the False into True and vice versa?

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