      swapped_faces: :class:`np.ndarray`
          The swapped faces returned from the model's predict function
      """
      inbound: ExtractMedia
      feed_faces: List[AlignedFace] = field(default_factory=list)
      reference_faces: List[AlignedFace] = field(default_factory=list)
      swapped_faces: np.ndarray = np.array([])
  
  
  class Convert():  # pylint:disable=too-few-public-methods
      """ The Faceswap Face Conversion Process.
 
</s> remove     def _queue_out_frames(self, batch: List[ConvertItem], swapped_faces: np.ndarray) -> None:
 </s> add     def _queue_out_frames(self, batch: T.List[ConvertItem], swapped_faces: np.ndarray) -> None: </s> remove         return KerasModel(self._inputs, var_x, name=f"g_block_{self._side}")
 </s> add         return KModel(self._inputs, var_x, name=f"g_block_{self._side}") </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 _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         autoencoder = KerasModel(inputs, outputs, name=self.model_name)
 </s> add         autoencoder = KModel(inputs, outputs, name=self.model_name)

    feed_faces: T.List[AlignedFace] = field(default_factory=list)
    reference_faces: T.List[AlignedFace] = field(default_factory=list)
      swapped_faces: :class:`np.ndarray`
          The swapped faces returned from the model's predict function
      """
      inbound: ExtractMedia
    feed_faces: T.List[AlignedFace] = field(default_factory=list)
    reference_faces: T.List[AlignedFace] = field(default_factory=list)
    feed_faces: T.List[AlignedFace] = field(default_factory=list)
    reference_faces: T.List[AlignedFace] = field(default_factory=list)
      swapped_faces: np.ndarray = np.array([])
  
  
  class Convert():  # pylint:disable=too-few-public-methods
      """ The Faceswap Face Conversion Process.
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 
scripts/convert.py