  
          return retval
  
      def __call__(self,
                   faces: List[DetectedFace],
                   sub_folders: List[Optional[str]]) -> List[DetectedFace]:
          """ Call the identity filter function
  
          Parameters
          ----------
          faces: list
 
</s> remove                       faces: List[DetectedFace],
                      sub_folders: List[Optional[str]],
                      should_filter: List[bool]) -> List[DetectedFace]:
 </s> add                       faces: T.List[DetectedFace],
                      sub_folders: T.List[T.Optional[str]],
                      should_filter: T.List[bool]) -> T.List[DetectedFace]: </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 _compile_masked(self, faces: List[np.ndarray], masks: np.ndarray) -> List[np.ndarray]:
 </s> add     def _compile_masked(self, faces: T.List[np.ndarray], masks: np.ndarray) -> T.List[np.ndarray]: </s> remove     def __call__(self, inputs: Union[Tensor, List[Tensor]]) -> Union[Tensor, List[Tensor]]:
 </s> add     def __call__(self, inputs: T.Union[Tensor, T.List[Tensor]]) -> T.Union[Tensor, T.List[Tensor]]: </s> remove     def _set_loss_functions(self, output_names: List[str]):
 </s> add     def _set_loss_functions(self, output_names: T.List[str]):
                 faces: T.List[DetectedFace],
                 sub_folders: T.List[T.Optional[str]]) -> T.List[DetectedFace]:
  
          return retval
  
      def __call__(self,
                 faces: T.List[DetectedFace],
                 sub_folders: T.List[T.Optional[str]]) -> T.List[DetectedFace]:
                 faces: T.List[DetectedFace],
                 sub_folders: T.List[T.Optional[str]]) -> T.List[DetectedFace]:
          """ Call the identity filter function
  
          Parameters
          ----------
          faces: list
keep keep keep keep replace 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/recognition/_base.py