          """ Validate that the input shape is either a single shape tuple of 3 dimensions or
          a list of 2 shape tuples of 3 dimensions. """
          assert len(self.input_shape) == 3, "Input shape should be a 3 dimensional shape tuple"
  
      def _get_inputs(self) -> List[keras.layers.Input]:
          """ Obtain the standardized inputs for the model.
  
          The inputs will be returned for the "A" and "B" sides in the shape as defined by
          :attr:`input_shape`.
  
 
</s> remove     def compute_output_shape(self, input_shape: Tuple[int, ...]) -> Tuple[int, ...]:
 </s> add     def compute_output_shape(self, input_shape: T.Tuple[int, ...]) -> T.Tuple[int, ...]: </s> remove     def _mask_shapes(self) -> Optional[List[tuple]]:
 </s> add     def _mask_shapes(self) -> T.Optional[T.List[tuple]]: </s> remove     def _get_input_shape(self) -> Tuple[int, int, int]:
 </s> add     def _get_input_shape(self) -> T.Tuple[int, int, int]: </s> remove     def build_model(self, inputs: List[keras.layers.Input]) -> keras.models.Model:
 </s> add     def build_model(self, inputs: T.List[tf.keras.layers.Input]) -> tf.keras.models.Model: </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:
    def _get_inputs(self) -> T.List[tf.keras.layers.Input]:
          """ Validate that the input shape is either a single shape tuple of 3 dimensions or
          a list of 2 shape tuples of 3 dimensions. """
          assert len(self.input_shape) == 3, "Input shape should be a 3 dimensional shape tuple"
  
    def _get_inputs(self) -> T.List[tf.keras.layers.Input]:
          """ Obtain the standardized inputs for the model.
  
          The inputs will be returned for the "A" and "B" sides in the shape as defined by
          :attr:`input_shape`.
  
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