  
          self._pnet_scales = self._calculate_scales(min_size, factor)
          self._pnet_sizes = [(int(input_size * scale), int(input_size * scale))
                              for scale in self._pnet_scales]
          self._pnet_input: Optional[List[np.ndarray]] = None
  
      @staticmethod
      def model_definition() -> Tuple[List[Tensor], List[Tensor]]:
          """ Keras P-Network Definition for MTCNN """
          input_ = Input(shape=(None, None, 3))
 
</s> remove     def model_definition() -> Tuple[List[Tensor], List[Tensor]]:
 </s> add     def model_definition() -> T.Tuple[T.List[Tensor], T.List[Tensor]]: </s> remove     def model_definition(self) -> Tuple[List[Tensor], List[Tensor]]:
 </s> add     def model_definition(self) -> T.Tuple[T.List[Tensor], T.List[Tensor]]: </s> remove         return KerasModel(input_, var_x, name=f"inter_{side}")
 </s> add         return KModel(input_, var_x, name=f"inter_{side}") </s> remove         return KerasModel(input_, var_x, name="encoder")
 </s> add         return KModel(input_, var_x, name="encoder")
 </s> remove         return KerasModel(input_, var_x, name="encoder")
 </s> add         return KModel(input_, var_x, name="encoder")
        self._pnet_input: T.Optional[T.List[np.ndarray]] = None
  
          self._pnet_scales = self._calculate_scales(min_size, factor)
          self._pnet_sizes = [(int(input_size * scale), int(input_size * scale))
                              for scale in self._pnet_scales]
        self._pnet_input: T.Optional[T.List[np.ndarray]] = None
  
      @staticmethod
      def model_definition() -> Tuple[List[Tensor], List[Tensor]]:
          """ Keras P-Network Definition for MTCNN """
          input_ = Input(shape=(None, None, 3))
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/mtcnn.py