              outputs = [self.decoder("a", enc_output_shape)(encoder_a),
                         self.decoder("b", enc_output_shape)(encoder_b)]
          autoencoder = KerasModel(inputs,
                                   outputs,
                                   name="{}_{}".format(self.name, self.architecture))
          return autoencoder
  
      def encoder_df(self):
          """ DFL SAE DF Encoder Network"""
          input_ = Input(shape=self.input_shape)
 
</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) </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)

                                 name=self.model_name)
              outputs = [self.decoder("a", enc_output_shape)(encoder_a),
                         self.decoder("b", enc_output_shape)(encoder_b)]
          autoencoder = KerasModel(inputs,
                                   outputs,
                                 name=self.model_name)
          return autoencoder
  
      def encoder_df(self):
          """ DFL SAE DF Encoder Network"""
          input_ = Input(shape=self.input_shape)
keep keep keep keep replace keep keep keep keep keep
 Bugfix -Weights freezing/loading for dfl-sae 
plugins/train/model/dfl_sae.py