(X)
        return self.dec(aux, length=length)


class TorchSTFT(nn.Module):
    &#34;&#34;&#34;Multichannel Short-Time-Fourier Forward transform
    uses hard coded hann_window.
    Args:
        n_fft (int, optional): transform FFT size. Defaults to 4096.
        n_hop (int, optional): transform hop size. Defaults to 1024.
        center (bool, optional): If True, the signals first window is
            zero padded. Centering is required for a perfect
            reconstruction of the signal. However, du