docstr: Saves a single wav file.
  
  Arguments
  ---------
  name: str
      the name of the saved audio
  data: torch.Tensor
      the  wave data to save
  epoch: int or str
      the epoch number (used in file path calculations)
      or "test" for test stage
docstr_tok: ["Saves","a","single","wav","file",".","Arguments","--","--","--","--","-","name",":","str","the","name","of","the","saved","audio","data",":","torch.Tensor","the","wave","data","to","save","epoch",":","int","or","str","the","epoch","number","(","used","in","file","path","calculations",")","or","``","test","''","for","test","stage"]
code: def save_audio(self, name, data, epoch):
      """Saves a single wav file.
  
      Arguments
      ---------
      name: str
          the name of the saved audio
      data: torch.Tensor
          the  wave data to save
      epoch: int or str
          the epoch number (used in file path calculations)
          or "test" for test stage
      """
      target_path = pl.Path(self.hparams.progress_sample_path) / str(
          epoch
      )
      target_path.mkdir(parents=True, exist_ok=True)
      file_name = target_path / f"{name}.wav"
      torchaudio.save(file_name, data.cpu(), 16000)
  
imports: import sys
  import copy
  import random
  import pathlib
  from hyperpyyaml import load_hyperpyyaml
  import speechbrain
  from speechbrain.utils.data_utils import scalarize
  import torch
  import torchaudio
  import numpy
label_desc: Use image node_id 9 for calling the HifiGanBrain obj's underlying member method code with example usage: obj.save_audio(name, data, epoch) without return types