          self._no_flip = no_flip
          self._warp_to_landmarks = warp_to_landmarks
          self._extract_versions = alignments["versions"]
          self._aligned_faces = alignments["aligned_faces"]
          self._masks = dict(masks=alignments.get("masks", None),
                             eyes=alignments.get("masks_eye", None),
                             mouths=alignments.get("masks_mouth", None))
 
</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                      coverage_ratio, augment_color, no_flip, warp_to_landmarks,
 </s> add                      coverage_ratio, augment_color, no_flip, no_warp, warp_to_landmarks,
        self._no_warp = no_warp
          self._no_flip = no_flip
          self._warp_to_landmarks = warp_to_landmarks
        self._no_warp = no_warp
          self._extract_versions = alignments["versions"]
          self._aligned_faces = alignments["aligned_faces"]
          self._masks = dict(masks=alignments.get("masks", None),
                             eyes=alignments.get("masks_eye", None),
                             mouths=alignments.get("masks_mouth", None))
keep add keep keep keep keep keep
 Training - Move disable warp option out of config 
lib/training_data.py