torch.adjoint#

torch.adjoint(input:Tensor)→Tensor#

Returns a view of the tensor conjugated and with the last two dimensions transposed.

x.adjoint() is equivalent tox.transpose(-2,-1).conj() for complex tensors andtox.transpose(-2,-1) for real tensors.

Parameters

{input} –

Example:

>>>x=torch.arange(4,dtype=torch.float)>>>A=torch.complex(x,x).reshape(2,2)>>>Atensor([[0.+0.j, 1.+1.j],        [2.+2.j, 3.+3.j]])>>>A.adjoint()tensor([[0.-0.j, 2.-2.j],        [1.-1.j, 3.-3.j]])>>>(A.adjoint()==A.mH).all()tensor(True)