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# 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)

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