class_docstr: base trainer class.
  contains methods for training, validation, and writing output.
class_docstr_tok: ["base","trainer","class",".","contains","methods","for","training",",","validation",",","and","writing","output","."]
code: def resume(self):
      pass
  
file_path: ml-neuman/trainers/base_trainer.py
imports: import os
  import math
  import abc
  import time
  import tqdm
  from trainers import tensorboard_helper
  from options import options
label_desc: Use image node_id 8 for calling the BaseTrainer obj's underlying member method code with example usage: obj.resume() without return types