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.
>>> 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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