torch.adjoint — PyTorch 2.7 documentation (original) (raw)

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)