Parameters:
      * input (Tensor) --
    The input tensor. Expected to be in the format of "stft()",
    output. That is a complex tensor of shape ("channel",
    "fft_size", "n_frame"), where the "channel" dimension is
    optional.

    Changed in version 2.0: Real datatype inputs are no longer
    supported. Input must now have a complex datatype, as returned
    by "stft(..., return_complex=True)".

  * **n_fft** (*int*) -- Size of Fourier transform

  * **hop_length** (*Optional**[**int**]*) -- The distance between
    neighboring sliding window frames. (Default: "n_fft // 4")

  * **win_length** (*Optional**[**int**]*) -- The size of window
    frame and STFT filter. (Default: "n_fft")

  * **window** (*Optional**[**torch.Tensor**]*) -- The optional
    window function. (Default: "torch.ones(win_length)")

  * **center** (*bool*) -- Whether "input" was padded on both
    sides so that the t-th frame is centered at time t \times
