class_docstr: Logs training information in the format required by Tensorboard.
  
  Arguments
  ---------
  save_dir : str
      A directory for storing all the relevant logs.
  
  Raises
  ------
  ImportError if Tensorboard is not installed.
docstr: Add audio signal in the logs.
docstr_tok: ["Add","audio","signal","in","the","logs","."]
code: def log_audio(self, name, value, sample_rate):
      """Add audio signal in the logs."""
      self.writer.add_audio(
          name, value, self.global_step["meta"], sample_rate=sample_rate
      )
  
imports: import logging
  import torch
  import os
  from speechbrain.utils.distributed import main_process_only, if_main_process
label_desc: Use image node_id 3 for calling the TensorboardLogger obj's underlying member method code with example usage: obj.log_audio(name, value, sample_rate) without return types