hunk.code_window:                     help='use the multi-epochs-loader to save time at the beginning of every epoch')
   parser.add_argument('--torchscript', dest='torchscript', action='store_true',
                       help='convert model torchscript for inference')
   parser.add_argument('--log-wandb', action='store_true', default=False,
                       help='use wandb for training and validation logs')
   def _parse_args():
  
hunk.labels: keep keep keep keep replace keep keep keep
hunk.after_edit:                     help='log training and validation metrics to wandb')
  
hunk.file_path: train.py
hunk.type: replace
file: from abc import abstractmethod
  
  
  class Parser:
      def __init__(self):
          pass
  
      @abstractmethod
      def _filename(self, index, basename=False, absolute=False):
          pass
  
      def filename(self, index, basename=False, absolute=False):
          return self._filename(index, basename=basename, absolute=absolute)
  
      def filenames(self, basename=False, absolute=False):
          return [self._filename(index, basename=basename, absolute=absolute) for index in range(len(self))]
  
  