code: def load_waveglow(waveglow_path):
      waveglow = torch.load(waveglow_path)["model"]
      waveglow = waveglow.cuda().eval().half()
      for k in waveglow.convinv:
          k.float()
      denoiser = Denoiser(waveglow)
      return waveglow, denoiser
  
imports: import torch
  from examples.textless_nlp.gslm.unit2speech.tacotron2.model import Tacotron2
  from examples.textless_nlp.gslm.unit2speech.tacotron2.waveglow_denoiser import Denoiser
label_desc: Use image node_id 4 for calling a global function with example usage: load_waveglow(waveglow_path) and returns: waveglow,  denoiser