          """
          batch = batch - self.average_img
          return batch
  
      def finalize_predictions(self, bounding_boxes_scales: List[np.ndarray]) -> np.ndarray:
          """ Process the output from the model to obtain faces
  
          Parameters
          ----------
          bounding_boxes_scales: list
 
</s> remove     def _compile_feed_faces(feed_faces: List[AlignedFace]) -> np.ndarray:
 </s> add     def _compile_feed_faces(feed_faces: T.List[AlignedFace]) -> np.ndarray: </s> remove     def _process_batch(self, batch: List[ConvertItem], faces_seen: int):
 </s> add     def _process_batch(self, batch: T.List[ConvertItem], faces_seen: int): </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         this is a straight call to the predict function. For PlaidML backends, this attempts
        to optimize the inference batch sizes to reduce the number of kernels that need to be
        compiled.
 </s> add         this is a straight call to the predict function. </s> remove     def _post_process(self, bboxlist: List[np.ndarray]) -> np.ndarray:
 </s> add     def _post_process(self, bboxlist: T.List[np.ndarray]) -> np.ndarray:
    def finalize_predictions(self, bounding_boxes_scales: T.List[np.ndarray]) -> np.ndarray:
          """
          batch = batch - self.average_img
          return batch
  
    def finalize_predictions(self, bounding_boxes_scales: T.List[np.ndarray]) -> np.ndarray:
          """ Process the output from the model to obtain faces
  
          Parameters
          ----------
          bounding_boxes_scales: 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 
plugins/extract/detect/s3fd.py