torch.fft.ihfft2
torch.fft.ihfft2(input, s=None, dim=(- 2, - 1), norm=None, *, out=None) -> Tensor
Computes the 2-dimensional inverse discrete Fourier transform of
   real "input". Equivalent to "ihfftn()" but transforms only the two
   last dimensions by default.
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
    either be zero-padded or trimmed to the length "s[i]" before
    computing the Hermitian IFFT. If a length "-1" is specified,
    no padding is done in that dimension. Default: "s =
    [input.size(d) for d in dim]"

  * **dim** (*Tuple**[**int**]**, **optional*) -- Dimensions to be
