      return InstanceNormalization()
  
      
  ENCODER = EncoderType.SHAOANLU 
  
  hdf = {'encoderH5': 'encoder_{version_str}{ENCODER.value}.h5'.format(**vars()),
         'decoder_AH5': 'decoder_A_{version_str}{ENCODER.value}.h5'.format(**vars()),
 
</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 = Encoders.NEW_SLIM
 </s> add ENCODER = EncoderType.SHAOANLU  </s> remove class Encoders():
    REGULAR = 'v2' # high memory consumption encoder
    NEW_SLIM = 'v3' # slightly lighter on resources and taining speed is faster
 </s> add conv_init = RandomNormal(0, 0.02)



def inst_norm():
    return InstanceNormalization() </s> remove         self.decoder_A = self.Decoder()
        self.decoder_B = self.Decoder()
 </s> add         self.decoder_A = Decoder()
        self.decoder_B = Decoder() </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))
class EncoderType(enum.Enum):
    ORIGINAL = "original"
    SHAOANLU = "shaoanlu"
      return InstanceNormalization()
  
class EncoderType(enum.Enum):
    ORIGINAL = "original"
    SHAOANLU = "shaoanlu"
      
  ENCODER = EncoderType.SHAOANLU 
  
  hdf = {'encoderH5': 'encoder_{version_str}{ENCODER.value}.h5'.format(**vars()),
         'decoder_AH5': 'decoder_A_{version_str}{ENCODER.value}.h5'.format(**vars()),
keep add keep keep keep keep keep
 model update (#417)

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