                                            self._model.coverage_ratio,
                                            not self._model.command_line_arguments.no_augment_color,
                                            self._model.command_line_arguments.no_flip,
                                            self._model.command_line_arguments.warp_to_landmarks,
                                            self._alignments,
                                            self._config)
          return generator
 
</s> remove         else:
            processed["feed"] = [self._processing.skip_warp(batch[..., :3])]
 </s> add  </s> remove         if not self._config["disable_warp"]:
 </s> add         if self._no_warp:
            processed["feed"] = [self._processing.skip_warp(batch[..., :3])]
        else: </s> remove     disable_warp=dict(
        default=False,
        info="Disable warp augmentation. Warping is integral to the Neural Network training. If "
             "you decide to disable warping, you should only do so towards the end of a model's "
             "training session.",
        datatype=bool,
        group="image augmentation",
        fixed=False),
 </s> add 
                                          self._model.command_line_arguments.no_warp,
                                            self._model.coverage_ratio,
                                            not self._model.command_line_arguments.no_augment_color,
                                            self._model.command_line_arguments.no_flip,
                                          self._model.command_line_arguments.no_warp,
                                            self._model.command_line_arguments.warp_to_landmarks,
                                            self._alignments,
                                            self._config)
          return generator
keep keep add keep keep keep keep
 Training - Move disable warp option out of config 
plugins/train/trainer/_base.py