torch.fft.irfft2
torch.fft.irfft2(input, s=None, dim=(- 2, - 1), norm=None, *, out=None) -> Tensor
Computes the inverse of "rfft2()". Equivalent to "irfftn()" but
   IFFTs only the last two dimensions by default.
"input" is interpreted as a one-sided Hermitian signal in the
   Fourier domain, as produced by "rfft2()". By the Hermitian
   property, the output will be real-valued.
Note:
 Some input frequencies must be real-valued to satisfy the
 Hermitian property. In these cases the imaginary component will
 be ignored. For example, any imaginary component in the zero-
 frequency term cannot be represented in a real output and so will
 always be ignored.

Note:
 The correct interpretation of the Hermitian input depends on the
 length of the original data, as given by "s". This is because
 each input shape could correspond to either an odd or even length
 signal. By default, the signal is assumed to be even length and
