          var_x = Dense(self.encoder_dim)(Flatten()(var_x))
          var_x = Dense(4 * 4 * 1024)(var_x)
          var_x = Reshape((4, 4, 1024))(var_x)
          var_x = UpscaleBlock(512, activation="leakyrelu")(var_x)
          return KerasModel(input_, var_x, name="encoder")
  
      def decoder(self, side):
          """ The original Faceswap Decoder Network.
  
          The decoders for the original model have separate weights for each side "A" and "B", so two
 
</s> remove         return KerasModel(input_, var_x, name="encoder")
 </s> add         return KModel(input_, var_x, name="encoder")
 </s> remove         return KerasModel(input_, var_x, name="encoder")
 </s> add         return KModel(input_, var_x, name="encoder") </s> remove         return KerasModel(input_, var_x, name="encoder")
 </s> add         return KModel(input_, var_x, name="encoder") </s> remove         return KerasModel(input_, var_x, name="encoder")
 </s> add         return KModel(input_, var_x, name="encoder") </s> remove         return KerasModel(input_, var_x, name=f"inter_{side}")
 </s> add         return KModel(input_, var_x, name=f"inter_{side}")
        return KModel(input_, var_x, name="encoder")

          var_x = Dense(self.encoder_dim)(Flatten()(var_x))
          var_x = Dense(4 * 4 * 1024)(var_x)
          var_x = Reshape((4, 4, 1024))(var_x)
          var_x = UpscaleBlock(512, activation="leakyrelu")(var_x)
        return KModel(input_, var_x, name="encoder")
  
      def decoder(self, side):
          """ The original Faceswap Decoder Network.
  
          The decoders for the original model have separate weights for each side "A" and "B", so two
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/original.py