code: def __call__(self, x):
      # B x D x T x 2
      o = torch.stft(
          x,
          self.n_fft,
          self.hop_length,
          self.win_length,
          self.window,
          center=True,
          pad_mode="reflect",  # compatible with audio.py
          normalized=False,
          onesided=True,
          return_complex=False,
      )
      M = o[:, :, :, 0]
      P = o[:, :, :, 1]
      return torch.sqrt(torch.clamp(M**2 + P**2, min=1e-8))
  
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the TorchSTFT obj's underlying member method code with example usage: obj.__call__(x) and returns: torch