  from keras.models import Model as KerasModel
  from keras.optimizers import Adam
  from keras.utils import multi_gpu_model
  from lib.PixelShuffler import PixelShuffler
  <<<<<<< HEAD
  import lib.Serializer
  
  from . import __version__
  =======
  import os
 
</s> remove =======
import os
import sys

from . import __version__
from .instance_normalization import InstanceNormalization

>>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
 </s> add  </s> remove 
=======

import warnings
>>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
 </s> add  </s> remove <<<<<<< HEAD
 </s> add  </s> remove conv_init = RandomNormal(0, 0.02)
 </s> add  </s> remove 
        #generator = TrainingDataGenerator(self.random_transform_args, 160)                
        # make sre to keep zoom=2 or you won't get 128x128 vectors as input
        #generator = TrainingDataGenerator(self.random_transform_args, 220, 5, zoom=2)
        #generator = TrainingDataGenerator(self.random_transform_args, 180, 7, zoom=2)
 </s> add 
  from keras.models import Model as KerasModel
  from keras.optimizers import Adam
  from keras.utils import multi_gpu_model
  from lib.PixelShuffler import PixelShuffler

  import lib.Serializer
  
  from . import __version__
  =======
  import os
keep keep keep keep replace keep keep keep keep keep
 added OriginalHighRes model state save 
plugins/Model_OriginalHighRes/Model.py