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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 booldtype. If the input tensor is not a bool tensor, zeros are treated as
Falseand non-zeros are treated asTrue.- 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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