class_docstr: A structure to store run options.
  
  Run options like queue.pl and run.pl, along with their memory
  and parallel training options for various types of commands such
  as the ones for training, parallel-training, running on GPU etc.
class_docstr_tok: ["A","structure","to","store","run","options",".","Run","options","like","queue.pl","and","run.pl",",","along","with","their","memory","and","parallel","training","options","for","various","types","of","commands","such","as","the","ones","for","training",",","parallel-training",",","running","on","GPU","etc","."]
code: def __init__(self):
      self.command = None
      self.train_queue_opt = None
      self.combine_gpu_opt = None
      self.combine_queue_opt = None
      self.prior_gpu_opt = None
      self.prior_queue_opt = None
      self.parallel_train_opts = None
  
imports: from __future__ import division
  import argparse
  import glob
  import logging
  import os
  import math
  import re
  import shutil
  import libs.common
  from libs.nnet3.train.dropout_schedule import *
  import unittest
label_desc: Use image node_id 1 to create a new RunOpts object from inherited base classes: object with example: obj = RunOpts()