class_docstr: A Base class that every transform method should derived from.
class_docstr_tok: ["A","Base","class","that","every","transform","method","should","derived","from","."]
docstr: Parse opts to set/reset instance's attributes.
  
  This should be override if there are attributes other than self.opts.
  To make sure we recover from picked state.
  (This should only contain attribute assignment, other routine is
  suggest to define in `warm_up`.)
docstr_tok: ["Parse","opts","to","set\/reset","instance","'s","attributes",".","This","should","be","override","if","there","are","attributes","other","than","self.opts",".","To","make","sure","we","recover","from","picked","state",".","(","This","should","only","contain","attribute","assignment",",","other","routine","is","suggest","to","define","in","`","warm_up","`",".",")"]
code: def _parse_opts(self):
      """Parse opts to set/reset instance's attributes.
  
      This should be override if there are attributes other than self.opts.
      To make sure we recover from picked state.
      (This should only contain attribute assignment, other routine is
      suggest to define in `warm_up`.)
      """
      pass
  
imports: import torch
  from onmt.utils.logging import logger
  from onmt.utils.misc import check_path
label_desc: Use image node_id 13 for calling the Transform obj's underlying member method code with example usage: obj._parse_opts() without return types