      switch_sides: bool
          ``True`` if the swap should be performed "B" > "A" ``False`` if the swap should be
          "A" > "B"
      """
      def __init__(self, saved_model: keras.models.Model, switch_sides: bool) -> None:
          logger.debug("Initializing: %s (saved_model: %s, switch_sides: %s)",
                       self.__class__.__name__, saved_model, switch_sides)
          self._config = saved_model.get_config()
  
          self._input_idx = 1 if switch_sides else 0
 
</s> remove                  arguments: "Namespace",
 </s> add                  arguments: Namespace, </s> remove                  input_shapes: Union[list, tuple],
 </s> add                  input_shapes: T.Union[list, tuple], </s> remove                  layer_indicies: Optional[Tuple[int, int]] = None) -> None:
 </s> add                  layer_indicies: T.Optional[T.Tuple[int, int]] = None) -> None: </s> remove     def _get_inputs(self) -> List[keras.layers.Input]:
 </s> add     def _get_inputs(self) -> T.List[tf.keras.layers.Input]: </s> remove     _backends = (("nvidia", "amd", "apple_silicon", "directml", "rocm", "cpu"))
 </s> add     _backends = (("nvidia", "apple_silicon", "directml", "rocm", "cpu"))
    def __init__(self, saved_model: tf.keras.models.Model, switch_sides: bool) -> None:
      switch_sides: bool
          ``True`` if the swap should be performed "B" > "A" ``False`` if the swap should be
          "A" > "B"
      """
    def __init__(self, saved_model: tf.keras.models.Model, switch_sides: bool) -> None:
          logger.debug("Initializing: %s (saved_model: %s, switch_sides: %s)",
                       self.__class__.__name__, saved_model, switch_sides)
          self._config = saved_model.get_config()
  
          self._input_idx = 1 if switch_sides else 0
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/model.py