  
          logger.debug("Initialized: %s", self.__class__.__name__)
  
      @property
      def names(self) -> List[str]:
          """ list: The list of loss names for the model. """
          return self._names
  
      @property
      def functions(self) -> dict:
 
</s> remove     def loss_names(self) -> List[str]:
 </s> add     def loss_names(self) -> T.List[str]: </s> remove     def _mask_inputs(self) -> Optional[list]:
 </s> add     def _mask_inputs(self) -> T.Optional[list]: </s> remove     def model(self) -> keras.models.Model:
 </s> add     def model(self) -> tf.keras.models.Model: </s> remove         shapes = [cast(Tuple[None, int, int, int], K.int_shape(output))
 </s> add         shapes = [T.cast(T.Tuple[None, int, int, int], K.int_shape(output)) </s> remove     def optimizer(self) -> keras.optimizers.Optimizer:
 </s> add     def optimizer(self) -> tf.keras.optimizers.Optimizer:
    def names(self) -> T.List[str]:
  
          logger.debug("Initialized: %s", self.__class__.__name__)
  
      @property
    def names(self) -> T.List[str]:
          """ list: The list of loss names for the model. """
          return self._names
  
      @property
      def functions(self) -> dict:
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/train/model/_base/settings.py