both sides to length "n_fft" before being applied.


If "center" is "True" (default), "input" will be padded on both
     sides so that the t-th frame is centered at time t \times
     \text{hop_length}. Otherwise, the t-th frame begins at time  t
     \times \text{hop_length}.


"pad_mode" determines the padding method used on "input" when
     "center" is "True". See "torch.nn.functional.pad()" for all
     available options. Default is ""reflect"".


If "onesided" is "True" (default for real input), only values for
     \omega in \left[0, 1, 2, \dots, \left\lfloor
     \frac{\text{n_fft}}{2} \right\rfloor + 1\right] are returned
     because the real-to-complex Fourier transform satisfies the
     conjugate symmetry, i.e., X[m, \omega] = X[m, \text{n_fft} -
     \omega]^*. Note if the input or window tensors are complex, then
     "onesided" output is not possible.


If "normalized" is "True" (default is "False"), the function

