          generate upscales for. Used for when splitting upscales between the Fully Connected Layers
          and the Decoder. ``None`` will generate the full Upscale chain. An end index of -1 will
          generate the layers from the starting index to the final upscale. Default: ``None``
      """
      _filters: List[int] = []
  
      def __init__(self,
                   side: Literal["a", "b", "both", "shared"],
                   config: dict,
                   layer_indicies: Optional[Tuple[int, int]] = None) -> None:
 
</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 __init__(self, input_shape: Optional[Tuple[int, int, int]] = None) -> None:
 </s> add     def __init__(self, input_shape: T.Optional[T.Tuple[int, int, int]] = None) -> None: </s> remove     def _get_nodes(self, nodes: np.ndarray) -> List[Tuple[str, int]]:
 </s> add     def _get_nodes(self, nodes: np.ndarray) -> T.List[T.Tuple[str, int]]: </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],
    _filters: T.List[int] = []
          generate upscales for. Used for when splitting upscales between the Fully Connected Layers
          and the Decoder. ``None`` will generate the full Upscale chain. An end index of -1 will
          generate the layers from the starting index to the final upscale. Default: ``None``
      """
    _filters: T.List[int] = []
  
      def __init__(self,
                   side: Literal["a", "b", "both", "shared"],
                   config: dict,
                   layer_indicies: Optional[Tuple[int, int]] = None) -> None:
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