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
 odd signals will not round-trip properly. It is recommended to
 always pass the signal shape "s".

Note:
 Supports torch.half and torch.chalf on CUDA with GPU Architecture
 SM53 or greater. However it only supports powers of 2 signal
 length in every transformed dimensions. With default arguments,
 the size of last dimension should be (2^n + 1) as argument *s*
 defaults to even output size = 2 * (last_dim_size - 1)

Parameters:
      * input (Tensor) -- the input tensor
  * **s** (*Tuple**[**int**]**, **optional*) -- Signal size in the
