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 to x.transpose(-2, -1).conj() for complex tensors and to x.transpose(-2, -1) for real tensors.

Parameters

{input} –

Example::

>>> x = torch.arange(4, dtype=torch.float)
>>> A = torch.complex(x, x).reshape(2, 2)
>>> A
tensor([[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)