  
      @property
      def input_shapes(self) -> List[Tuple[None, int, int, int]]:
          """ list: A flattened list corresponding to all of the inputs to the model. """
          shapes = [cast(Tuple[None, int, int, int], K.int_shape(inputs))
                    for inputs in self.model.inputs]
          return shapes
  
      @property
      def output_shapes(self) -> List[Tuple[None, int, int, int]]:
 
</s> remove     def input_shapes(self) -> List[Tuple[None, int, int, int]]:
 </s> add     def input_shapes(self) -> T.List[T.Tuple[None, int, int, int]]: </s> remove     def output_shapes(self) -> List[Tuple[None, int, int, int]]:
 </s> add     def output_shapes(self) -> T.List[T.Tuple[None, int, int, int]]: </s> remove         shapes = [cast(Tuple[None, int, int, int], K.int_shape(output))
 </s> add         shapes = [T.cast(T.Tuple[None, int, int, int], K.int_shape(output)) </s> remove                  input_shape: Tuple[int, int, int],
 </s> add                  input_shape: T.Tuple[int, int, int], </s> remove                mode: Literal["full", "cap_max", "cap_min"] = "full") -> List[int]:
 </s> add                mode: Literal["full", "cap_max", "cap_min"] = "full") -> T.List[int]:
        shapes = [T.cast(T.Tuple[None, int, int, int], K.int_shape(inputs))
  
      @property
      def input_shapes(self) -> List[Tuple[None, int, int, int]]:
          """ list: A flattened list corresponding to all of the inputs to the model. """
        shapes = [T.cast(T.Tuple[None, int, int, int], K.int_shape(inputs))
                    for inputs in self.model.inputs]
          return shapes
  
      @property
      def output_shapes(self) -> List[Tuple[None, int, int, int]]:
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