orthonormal)
    Calling the forward transform ("fft()") with the same
    normalization mode will apply an overall normalization of
    "1/n" between the two transforms. This is required to make
    "ifft()" the exact inverse.

    Default is ""backward"" (normalize by "1/n").

Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
-[ Example ]-



t = torch.tensor([ 6.+0.j, -2.+2.j, -2.+0.j, -2.-2.j])
torch.fft.ifft(t)
   tensor([0.+0.j, 1.+0.j, 2.+0.j, 3.+0.j])


