torch.fft.ihfftn
torch.fft.ihfftn(input, s=None, dim=None, norm=None, *, out=None) -> Tensor
Computes the N-dimensional inverse discrete Fourier transform of
   real "input".
"input" must be a real-valued signal, interpreted in the Fourier
   domain. The n-dimensional IFFT of a real signal is Hermitian-
   symmetric, "X[i, j, ...] = conj(X[-i, -j, ...])". "ihfftn()"
   represents this in the one-sided form where only the positive
   frequencies below the Nyquist frequency are included in the last
   signal dimension. To compute the full output, use "ifftn()".
Note:
 Supports torch.half on CUDA with GPU Architecture SM53 or
 greater. However it only supports powers of 2 signal length in
 every transformed dimensions.

Parameters:
      * input (Tensor) -- the input tensor
  * **s** (*Tuple**[**int**]**, **optional*) -- Signal size in the
    transformed dimensions. If given, each dimension "dim[i]" will
