docstr: Forward computations of the generator. Input noisy signal,
  output clean signal
docstr_tok: ["Forward","computations","of","the","generator",".","Input","noisy","signal",",","output","clean","signal"]
code: def compute_forward_g(self, noisy_wavs):
      """Forward computations of the generator. Input noisy signal,
      output clean signal"""
      noisy_wavs = noisy_wavs.to(self.device)
      predict_wavs = self.modules["model_g"](noisy_wavs)
      return predict_wavs
  
imports: import os
  import sys
  import torch
  import torchaudio
  import speechbrain
  from pesq import pesq
  from hyperpyyaml import load_hyperpyyaml
  from speechbrain.utils.metric_stats import MetricStats
  from speechbrain.nnet.loss.stoi_loss import stoi_loss
  from speechbrain.utils.distributed import run_on_main
label_desc: Use image node_id 1 for calling the SEBrain obj's underlying member method code with example usage: obj.compute_forward_g(noisy_wavs) and returns: predict_wavs