          """ float: The coverage ratio that the model was trained at. """
          return self._coverage_ratio
  
      @property
      def centering(self) -> "CenteringType":
          """ str: The centering that the model was trained on (`"head", "face"` or `"legacy"`) """
          return self._centering
  
      @property
      def has_predicted_mask(self) -> bool:
 
</s> remove     def mixed_precision_layers(self) -> List[str]:
 </s> add     def mixed_precision_layers(self) -> T.List[str]: </s> remove     def command_line_arguments(self) -> "argparse.Namespace":
 </s> add     def command_line_arguments(self) -> argparse.Namespace: </s> remove     def _mask_inputs(self) -> Optional[list]:
 </s> add     def _mask_inputs(self) -> T.Optional[list]: </s> remove     def load_queue(self) -> "EventQueue":
 </s> add     def load_queue(self) -> EventQueue: </s> remove     def out_queue(self) -> "EventQueue":
 </s> add     def out_queue(self) -> EventQueue:
    def centering(self) -> CenteringType:
          """ float: The coverage ratio that the model was trained at. """
          return self._coverage_ratio
  
      @property
    def centering(self) -> CenteringType:
          """ str: The centering that the model was trained on (`"head", "face"` or `"legacy"`) """
          return self._centering
  
      @property
      def has_predicted_mask(self) -> bool:
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 
scripts/convert.py