      no_flip: bool
          ``True`` if the image shouldn't be randomly flipped as part of augmentation, otherwise
          ``False``
      warp_to_landmarks: bool
          ``True`` if the random warp method should warp to similar landmarks from the other side,
          ``False`` if the standard random warp method should be used.
      alignments: dict
          A dictionary containing aligned face information and masks if these are required for
 
</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  </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                  no_flip, warp_to_landmarks, alignments, config):
 </s> add                  no_flip, no_warp, warp_to_landmarks, alignments, config):
    no_warp: bool
        ``True`` if the image shouldn't be warped as part of augmentation, otherwise ``False``
      no_flip: bool
          ``True`` if the image shouldn't be randomly flipped as part of augmentation, otherwise
          ``False``
    no_warp: bool
        ``True`` if the image shouldn't be warped as part of augmentation, otherwise ``False``
      warp_to_landmarks: bool
          ``True`` if the random warp method should warp to similar landmarks from the other side,
          ``False`` if the standard random warp method should be used.
      alignments: dict
          A dictionary containing aligned face information and masks if these are required for
keep keep add keep keep keep keep keep
 Training - Move disable warp option out of config 
lib/training_data.py