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torch.logical_xor#

torch.logical_xor(input:Tensor,other:Tensor,*,out:Optional[Tensor])→Tensor#

Computes the element-wise logical XOR of the given input tensors. Zeros are treated asFalse and nonzeros aretreated asTrue.

Parameters

  • input (Tensor) – the input tensor.

  • other (Tensor) – the tensor to compute XOR with

Keyword Arguments

out (Tensor,optional) – the output tensor.

Example:

>>>torch.logical_xor(torch.tensor([True,False,True]),torch.tensor([True,False,False]))tensor([False, False,  True])>>>a=torch.tensor([0,1,10,0],dtype=torch.int8)>>>b=torch.tensor([4,0,1,0],dtype=torch.int8)>>>torch.logical_xor(a,b)tensor([ True,  True, False, False])>>>torch.logical_xor(a.double(),b.double())tensor([ True,  True, False, False])>>>torch.logical_xor(a.double(),b)tensor([ True,  True, False, False])>>>torch.logical_xor(a,b,out=torch.empty(4,dtype=torch.bool))tensor([ True,  True, False, False])