transformed. Default: last two dimensions.
  * **norm** (*str**, **optional*) --

    Normalization mode. For the backward transform ("ihfft2()"),
    these correspond to:

    * ""forward"" - no normalization

    * ""backward"" - normalize by "1/n"

    * ""ortho"" - normalize by "1/sqrt(n)" (making the Hermitian
      IFFT orthonormal)

    Where "n = prod(s)" is the logical IFFT size. Calling the
    forward transform ("hfft2()") with the same normalization mode
    will apply an overall normalization of "1/n" between the two
    transforms. This is required to make "ihfft2()" the exact
    inverse.

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

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



T = torch.rand(10, 10)
t = torch.fft.ihfft2(t)
t.size()
   torch.Size([10, 6])



Compared against the full output from "ifft2()", the Hermitian