  except ImportError:
      pass
  
  
  class Encoders():
      REGULAR = 'v2' # high memory consumption encoder
      NEW_SLIM = 'v3' # slightly lighter on resources and taining speed is faster
  
      
  ENCODER = Encoders.NEW_SLIM
  
  hdf = {'encoderH5': 'encoder_{version_str}{ENCODER}.h5'.format(**vars()),
 
</s> remove ENCODER = Encoders.NEW_SLIM
 </s> add ENCODER = EncoderType.SHAOANLU  </s> remove hdf = {'encoderH5': 'encoder_{version_str}{ENCODER}.h5'.format(**vars()),
       'decoder_AH5': 'decoder_A_{version_str}{ENCODER}.h5'.format(**vars()),
       'decoder_BH5': 'decoder_B_{version_str}{ENCODER}.h5'.format(**vars())}
 </s> add hdf = {'encoderH5': 'encoder_{version_str}{ENCODER.value}.h5'.format(**vars()),
       'decoder_AH5': 'decoder_A_{version_str}{ENCODER.value}.h5'.format(**vars()),
       'decoder_BH5': 'decoder_B_{version_str}{ENCODER.value}.h5'.format(**vars())} </s> remove         Encoder = getattr(self, "Encoder") if not ENCODER else getattr(self, "Encoder_{}".format(ENCODER))
 </s> add         Encoder = getattr(self, "Encoder_{}".format(self._encoder_type.value))
        Decoder = getattr(self, "Decoder_{}".format(self._encoder_type.value)) </s> remove     def Encoder_v3(self):
        """Lighter on resources encoder with bigger first conv layer"""
        retina = Input(shape=self.IMAGE_SHAPE)
        x = self.conv_sep_v3(192)(retina)         
 </s> add     def Encoder_original(self, **kwargs):
        impt = Input(shape=self.IMAGE_SHAPE)
        
        in_conv_filters = self.IMAGE_SHAPE[0] if self.IMAGE_SHAPE[0] <= 128 else 128 + (self.IMAGE_SHAPE[0]-128)//4
        x = self.conv(in_conv_filters)(impt)
conv_init = RandomNormal(0, 0.02)



def inst_norm():
    return InstanceNormalization()
  except ImportError:
      pass
  
  
conv_init = RandomNormal(0, 0.02)



def inst_norm():
    return InstanceNormalization()
conv_init = RandomNormal(0, 0.02)



def inst_norm():
    return InstanceNormalization()
conv_init = RandomNormal(0, 0.02)



def inst_norm():
    return InstanceNormalization()
  
      
  ENCODER = Encoders.NEW_SLIM
  
  hdf = {'encoderH5': 'encoder_{version_str}{ENCODER}.h5'.format(**vars()),
keep keep keep keep replace replace replace keep keep keep keep keep
 model update (#417)

New, functional Original 128 model 
plugins/Model_OriginalHighRes/Model.py