          decoders = self._build_decoders(g_blocks)
  
          # Create Autoencoder
          outputs = [decoders["a"], decoders["b"]]
          autoencoder = KerasModel(inputs, outputs, name=self.name)
          return autoencoder
  
      def _build_encoders(self, inputs):
          """ Build the encoders for Phaze-A
  
 
</s> remove         self._name = plugin.name
 </s> add         self._name = plugin.model_name </s> remove         autoencoder = KerasModel(inputs, outputs, name=self.name)
 </s> add         autoencoder = KerasModel(inputs, outputs, name=self.model_name) </s> remove         autoencoder = KerasModel(inputs, outputs, name=self.name)
 </s> add         autoencoder = KerasModel(inputs, outputs, name=self.model_name) </s> remove         autoencoder = KerasModel(inputs, outputs, name=self.name)
 </s> add         autoencoder = KerasModel(inputs, outputs, name=self.model_name)
        autoencoder = KerasModel(inputs, outputs, name=self.model_name)
          decoders = self._build_decoders(g_blocks)
  
          # Create Autoencoder
          outputs = [decoders["a"], decoders["b"]]
        autoencoder = KerasModel(inputs, outputs, name=self.model_name)
          return autoencoder
  
      def _build_encoders(self, inputs):
          """ Build the encoders for Phaze-A
  
keep keep keep keep replace keep keep keep keep keep
 Bugfix -Weights freezing/loading for dfl-sae 
plugins/train/model/phaze_a.py