          """ dict: The loss functions that apply to each model output. """
          return self._funcs
  
      @property
      def _mask_inputs(self) -> Optional[list]:
          """ list: The list of input tensors to the model that contain the mask. Returns ``None``
          if there is no mask input to the model. """
          mask_inputs = [inp for inp in self._inputs if inp.name.startswith("mask")]
          return None if not mask_inputs else mask_inputs
  
 
</s> remove     def _mask_shapes(self) -> Optional[List[tuple]]:
 </s> add     def _mask_shapes(self) -> T.Optional[T.List[tuple]]: </s> remove     def names(self) -> List[str]:
 </s> add     def names(self) -> T.List[str]: </s> remove     def _get_io_sizes(self) -> Dict[str, int]:
 </s> add     def _get_io_sizes(self) -> T.Dict[str, int]: </s> remove     def add_history(self, loss: List[float]) -> None:
 </s> add     def add_history(self, loss: T.List[float]) -> None: </s> remove     def input_shapes(self) -> List[Tuple[None, int, int, int]]:
 </s> add     def input_shapes(self) -> T.List[T.Tuple[None, int, int, int]]:
    def _mask_inputs(self) -> T.Optional[list]:
          """ dict: The loss functions that apply to each model output. """
          return self._funcs
  
      @property
    def _mask_inputs(self) -> T.Optional[list]:
          """ list: The list of input tensors to the model that contain the mask. Returns ``None``
          if there is no mask input to the model. """
          mask_inputs = [inp for inp in self._inputs if inp.name.startswith("mask")]
          return None if not mask_inputs else mask_inputs
  
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