          item.reference_faces = reference_faces
          logger.trace("Loaded aligned faces: '%s'", item.inbound.filename)  # type:ignore
  
      @staticmethod
      def _compile_feed_faces(feed_faces: List[AlignedFace]) -> np.ndarray:
          """ Compile a batch of faces for feeding into the Predictor.
  
          Parameters
          ----------
          feed_faces: list
 
</s> remove         retval = np.stack([cast(np.ndarray, feed_face.face)[..., :3]
 </s> add         retval = np.stack([T.cast(np.ndarray, feed_face.face)[..., :3] </s> remove     def finalize_predictions(self, bounding_boxes_scales: List[np.ndarray]) -> np.ndarray:
 </s> add     def finalize_predictions(self, bounding_boxes_scales: T.List[np.ndarray]) -> np.ndarray: </s> remove     def _predict(self, feed_faces: np.ndarray, batch_size: Optional[int] = None) -> np.ndarray:
 </s> add     def _predict(self, feed_faces: np.ndarray, batch_size: T.Optional[int] = None) -> np.ndarray: </s> remove     def _compile_preview(self, predictions: Dict[str, np.ndarray]) -> np.ndarray:
 </s> add     def _compile_preview(self, predictions: T.Dict[str, np.ndarray]) -> np.ndarray: </s> remove     def _alignments_faces(self, frame_name: str, image: np.ndarray) -> List[DetectedFace]:
 </s> add     def _alignments_faces(self, frame_name: str, image: np.ndarray) -> T.List[DetectedFace]:
    def _compile_feed_faces(feed_faces: T.List[AlignedFace]) -> np.ndarray:
          item.reference_faces = reference_faces
          logger.trace("Loaded aligned faces: '%s'", item.inbound.filename)  # type:ignore
  
      @staticmethod
    def _compile_feed_faces(feed_faces: T.List[AlignedFace]) -> np.ndarray:
          """ Compile a batch of faces for feeding into the Predictor.
  
          Parameters
          ----------
          feed_faces: list
keep keep keep keep replace keep keep keep keep keep
 Remove plaidML support (#1325)

* Remove PlaidML reference from readme files

* Remove AMD option from installers

* remove amd requirements and update setup.py

* remove plaidml test from CI workflow

* gpustats: remove plaidml backend

* plaid removals:
  - faceswap.py - python version check
  - setup.cfg - plaidml typing ignore
  - lib.keras_utils - All plaid code
  - lib.launcher.py - All plaidml checks and configuration

* remove tf2.2 specific code from GUI event reader

* lib.model - remove all plaidml implementations

* plugins.extract - remove plaidml code

* plugins.train remove plaidml code

* lib.convert - remove plaidml code

* tools.model: remove plaidml code

* Remove plaidML tests from unit tests

* remove plaidml_utils and docsting cleanups

* Remove plaidML refs from configs

* fix keras imports 
scripts/convert.py