class_docstr: Text logger of training information.
  
  Arguments
  ---------
  save_file : str
      The file to use for logging train information.
  precision : int
      Number of decimal places to display. Default 2, example: 1.35e-5.
  summary_fns : dict of str:function pairs
      Each summary function should take a list produced as output
      from a training/validation pass and summarize it to a single scalar.
code: def __init__(self, save_file, precision=2):
      self.save_file = save_file
      self.precision = precision
  
imports: import logging
  import torch
  import os
  from speechbrain.utils.distributed import main_process_only, if_main_process
label_desc: Use image node_id 1 to create a new FileTrainLogger object from inherited base classes: TrainLogger with example: obj = FileTrainLogger(save_file, precision)