torch.logical_not
torch.logical_not(input, *, out=None) -> Tensor
Computes the element-wise logical NOT of the given input tensor. If
   not specified, the output tensor will have the bool dtype. If the
   input tensor is not a bool tensor, zeros are treated as "False" and
   non-zeros are treated as "True".
Parameters:
      input (Tensor) -- the input tensor.
Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> torch.logical_not(torch.tensor([True, False]))
  tensor([False,  True])
  >>> torch.logical_not(torch.tensor([0, 1, -10], dtype=torch.int8))
  tensor([ True, False, False])
  >>> torch.logical_not(torch.tensor([0., 1.5, -10.], dtype=torch.double))
  tensor([ True, False, False])
  >>> torch.logical_not(torch.tensor([0., 1., -10.], dtype=torch.double), out=torch.empty(3, dtype=torch.int16))
  tensor([1, 0, 0], dtype=torch.int16)
