          x = Reshape((dense_shape, dense_shape, 768))(x)
          x = self.upscale(512)(x)
          
          return KerasModel(impt, x, **kwargs)    
  <<<<<<< HEAD
  
  
  =======
  
  
  >>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
      def Decoder_original(self):       
          decoder_shape = self.IMAGE_SHAPE[0]//8        
 
</s> remove >>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
 </s> add  </s> remove >>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
 </s> add  </s> remove <<<<<<< HEAD
        
        x = Conv2D(3, kernel_size=5, padding='same', activation='sigmoid')(x)
        
        return KerasModel(inpt, x)
    
    
=======
 </s> add  </s> remove =======
 </s> add  </s> remove conv_init = RandomNormal(0, 0.02)
 </s> add 
          x = Reshape((dense_shape, dense_shape, 768))(x)
          x = self.upscale(512)(x)
          
          return KerasModel(impt, x, **kwargs)    




  
  
  >>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
      def Decoder_original(self):       
          decoder_shape = self.IMAGE_SHAPE[0]//8        
keep keep keep keep replace replace replace replace keep keep keep keep keep
 added OriginalHighRes model state save 
plugins/Model_OriginalHighRes/Model.py