  from keras.utils import multi_gpu_model
  
  from lib.PixelShuffler import PixelShuffler
  import lib.Serializer
  
  from . import __version__
  from .instance_normalization import InstanceNormalization
  
  
  if isinstance(__version__, (list, tuple)):
 
</s> remove 
if ENCODER==EncoderType.SHAOANLU:
    from .instance_normalization import InstanceNormalization

    
def inst_norm():
    return InstanceNormalization()     

 </s> add           </s> remove try:
    from lib.utils import backup_file
except ImportError:
    pass


 </s> add  </s> remove         # We should have a separate cli option for size        
 </s> add         # We should have a separate cli option for size    
        
        print('image_shape', self._image_shape)
            
from lib.utils import backup_file
  from keras.utils import multi_gpu_model
  
  from lib.PixelShuffler import PixelShuffler
  import lib.Serializer
from lib.utils import backup_file
  
  from . import __version__
  from .instance_normalization import InstanceNormalization
  
  
  if isinstance(__version__, (list, tuple)):
keep keep keep add keep keep keep keep keep keep
 Update Original Hi-Res (#438)

* Required for Shaonlu mode (#416)

Added two modes - Original and Shaonlu.
The later requires this file to function.

* model update (#417)

New, functional Original 128 model

* OriginalHighRes 128 model update (#418)

Required for OriginalHighRes Model to function

* Fixed memory usage at 6GB cards. (#423)

- Switched default encoder to ORIGINAL
- Fixed memory consumption. Tested with geforce gtx 9800 ti with 6Gb; batch_size 8 no OOM or memory warnings now.

* added new model

* ndeed for HighRes Model_OriginalHighRes

* added OriginalHighRes model state save

* changed saving routine to ThreadPoolExecutor (faster with Python3)

* altered trainer (#425)

altered trainer to accommodate with model change

* Update Model.py (#424)

- Added saving state (currently only saved epoch number, to be extended in future)
- Changed saving to ThreadPoolExecutor

* Requirements version bump (#431)

This bumps the versions of:

    scandir
    h5py
    Keras
    opencv-python

to their latest vesions.

Virtual Environment will need to be setup again to make use of these. 
plugins/Model_OriginalHighRes/Model.py