code: def get_waveglow(download_if_needed=True):
      waveglow_path = CHECKPOINT_MANAGER.get_by_name(
          "waveglow", download_if_needed=download_if_needed
      )
  
      sys.path.append(tacotron2.__path__[0])
      waveglow = torch.load(waveglow_path)["model"]
      sys.path.pop()
  
      waveglow = waveglow.cuda().eval()
      denoiser = Denoiser(waveglow)
      return waveglow, denoiser
  
file_path: textlesslib/textless/vocoders/tacotron2/__init__.py
imports: import torch
  import textless.vocoders.tacotron2
  import sys
  from textless.checkpoint_manager import CHECKPOINT_MANAGER
  from .waveglow_denoiser import Denoiser
  from .model import Tacotron2
  from .tts_data import TacotronInputDataset
label_desc: Use image node_id 1 for calling a global function with example usage: get_waveglow(download_if_needed) and returns: waveglow,  denoiser