class_docstr: adapted from Prem Seetharaman's https://github.com/pseeth/pytorch-stft
class_docstr_tok: ["adapted","from","Prem","Seetharaman","'s","https",":","\/\/github.com\/pseeth\/pytorch-stft"]
code: def forward(self, input_data):
      self.magnitude, self.phase = self.transform(input_data)
      reconstruction = self.inverse(self.magnitude, self.phase)
      return reconstruction
  
file_path: fairseq/examples/textless_nlp/gslm/unit2speech/tacotron2/stft.py
imports: import torch
  import numpy
  import torch.nn.functional
  from torch.autograd import Variable
  from scipy.signal import get_window
  from librosa.util import pad_center, tiny
  from .audio_processing import window_sumsquare
label_desc: Use image node_id 4 for calling the STFT obj's underlying member method code with example usage: obj.forward(input_data) and returns: reconstruction