docstr: Saves a single wav
  
  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","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
  
      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 = os.path.join(
          self.hparams.progress_sample_path, str(epoch)
      )
      if not os.path.exists(target_path):
          os.makedirs(target_path)
      file_name = f"{name}.wav"
      effective_file_name = os.path.join(target_path, file_name)
      torchaudio.save(effective_file_name, data.cpu(), 22050)
  
imports: import sys
  import torch
  import copy
  from hyperpyyaml import load_hyperpyyaml
  import speechbrain
  from speechbrain.utils.data_utils import scalarize
  import torchaudio
  import os
label_desc: Use image node_id 11 for calling the HifiGanBrain obj's underlying member method code with example usage: obj.save_audio(name, data, epoch) without return types