  <<<<<<< HEAD
  import os
  import sys
  import warnings
  
  =======
  
  import warnings
  >>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
  warnings.filterwarnings("ignore", category=FutureWarning)
  
  from keras.initializers import RandomNormal
  from keras.layers import Input, Dense, Flatten, Reshape
  from keras.layers import SeparableConv2D, add
 
</s> remove <<<<<<< HEAD
 </s> add  </s> remove <<<<<<< HEAD
 </s> add  </s> remove =======
import os
import sys

from . import __version__
from .instance_normalization import InstanceNormalization

>>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
 </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 
  <<<<<<< HEAD
  import os
  import sys
  import warnings





  warnings.filterwarnings("ignore", category=FutureWarning)
  
  from keras.initializers import RandomNormal
  from keras.layers import Input, Dense, Flatten, Reshape
  from keras.layers import SeparableConv2D, add
keep keep keep keep replace replace replace replace replace keep keep keep keep keep
 added OriginalHighRes model state save 
plugins/Model_OriginalHighRes/Model.py