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torch.adjoint
torch.adjoint(Tensor) → Tensor
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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 and tox.transpose(-2, -1)
for real tensors.- Example::
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>>> 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)
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https://pytorch.org/docs/2.1/generated/torch.adjoint.html