code: def spectral_de_normalize(self, magnitudes):
      output = dynamic_range_decompression(magnitudes)
      return output
  
imports: import torch
  from librosa.filters import mel
  from .audio_processing import dynamic_range_compression
  from .audio_processing import dynamic_range_decompression
  from .stft import STFT
  from .utils import get_mask_from_lengths
label_desc: Use image node_id 3 for calling the TacotronSTFT obj's underlying member method code with example usage: obj.spectral_de_normalize(magnitudes) and returns: output