  
      def __init__(self,
                   side: Literal["a", "b", "both", "shared"],
                   config: dict,
                   layer_indicies: Optional[Tuple[int, int]] = None) -> None:
          logger.debug("Initializing: %s (side: %s, layer_indicies: %s)",
                       self.__class__.__name__, side, layer_indicies)
          self._side = side
          self._config = config
          self._is_dny = self._config["dec_upscale_method"].lower() == "upscale_dny"
 
</s> remove                  input_shapes: Union[list, tuple],
 </s> add                  input_shapes: T.Union[list, tuple], </s> remove                  input_shape: Tuple[int, int, int],
 </s> add                  input_shape: T.Tuple[int, int, int], </s> remove     _filters: List[int] = []
 </s> add     _filters: T.List[int] = [] </s> remove     def __init__(self, saved_model: keras.models.Model, switch_sides: bool) -> None:
 </s> add     def __init__(self, saved_model: tf.keras.models.Model, switch_sides: bool) -> None: </s> remove         self._display_feeds = dict(preview=self._set_preview_feed(), timelapse={})
 </s> add         self._display_feeds = {"preview": self._set_preview_feed(), "timelapse": {}}
                 layer_indicies: T.Optional[T.Tuple[int, int]] = None) -> None:
  
      def __init__(self,
                   side: Literal["a", "b", "both", "shared"],
                   config: dict,
                 layer_indicies: T.Optional[T.Tuple[int, int]] = None) -> None:
          logger.debug("Initializing: %s (side: %s, layer_indicies: %s)",
                       self.__class__.__name__, side, layer_indicies)
          self._side = side
          self._config = config
          self._is_dny = self._config["dec_upscale_method"].lower() == "upscale_dny"
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/phaze_a.py