          self._cp = ContextPath()
          self.define_model(self._model_definition)
          self.load_model_weights()
  
      def _model_definition(self) -> Tuple[Tensor, List[Tensor]]:
          """ Definition of the VGG Obstructed Model.
  
          Returns
          -------
          tuple
 
</s> remove     def _model_definition(cls) -> Tuple[Tensor, Tensor]:
 </s> add     def _model_definition(cls) -> T.Tuple[Tensor, Tensor]: </s> remove     def _model_definition(cls) -> Tuple[Tensor, Tensor]:
 </s> add     def _model_definition(cls) -> T.Tuple[Tensor, Tensor]: </s> remove         self._pnet_input: Optional[List[np.ndarray]] = None
 </s> add         self._pnet_input: T.Optional[T.List[np.ndarray]] = None </s> remove         :class:`plaidml.tile.Value` or :class:`tf.Tensor`
 </s> add         :class:`tf.Tensor`
    def _model_definition(self) -> T.Tuple[Tensor, T.List[Tensor]]:
          self._cp = ContextPath()
          self.define_model(self._model_definition)
          self.load_model_weights()
  
    def _model_definition(self) -> T.Tuple[Tensor, T.List[Tensor]]:
          """ Definition of the VGG Obstructed Model.
  
          Returns
          -------
          tuple
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/mask/bisenet_fp.py