      ----------
      input_shape, Tuple, optional
          The input shape for the model. Default: ``None``
      """
      def __init__(self, input_shape: Optional[Tuple[int, int, int]] = None) -> None:
          super().__init__(input_shape)
          self._feature_indices = [0, 3, 6, 8, 10]  # For naming equivalent to PyTorch
          self._filters = [64, 192, 384, 256, 256]  # Filters at each block
  
      @classmethod
 
</s> remove     _filters: List[int] = []
 </s> add     _filters: T.List[int] = [] </s> remove     def __init__(self, input_shape: Tuple[int, ...], config: dict) -> None:
 </s> add     def __init__(self, input_shape: T.Tuple[int, ...], config: dict) -> 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                  input_shape: Tuple[int, int, int],
 </s> add                  input_shape: T.Tuple[int, int, int], </s> remove                  activation: Optional[str] = "leakyrelu",
 </s> add                  activation: T.Optional[str] = "leakyrelu",
    def __init__(self, input_shape: T.Optional[T.Tuple[int, int, int]] = None) -> None:
      ----------
      input_shape, Tuple, optional
          The input shape for the model. Default: ``None``
      """
    def __init__(self, input_shape: T.Optional[T.Tuple[int, int, int]] = None) -> None:
          super().__init__(input_shape)
          self._feature_indices = [0, 3, 6, 8, 10]  # For naming equivalent to PyTorch
          self._filters = [64, 192, 384, 256, 256]  # Filters at each block
  
      @classmethod
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 
lib/model/nets.py