torch.fft.ihfft
torch.fft.ihfft(input, n=None, dim=- 1, norm=None, *, out=None) -> Tensor
Computes the inverse of "hfft()".
"input" must be a real-valued signal, interpreted in the Fourier
   domain. The IFFT of a real signal is Hermitian-symmetric, "X[i] =
   conj(X[-i])". "ihfft()" represents this in the one-sided form where
   only the positive frequencies below the Nyquist frequency are
   included. To compute the full output, use "ifft()".
Note:
 Supports torch.half on CUDA with GPU Architecture SM53 or
 greater. However it only supports powers of 2 signal length in
 every transformed dimension.

Parameters:
      * input (Tensor) -- the real input tensor
  * **n** (*int**, **optional*) -- Signal length. If given, the
    input will either be zero-padded or trimmed to this length
    before computing the Hermitian IFFT.

  * **dim** (*int**, **optional*) -- The dimension along which to
    take the one dimensional Hermitian IFFT.
