      Based on the dfaker model: https://github.com/dfaker """
  import logging
  import sys
  
  from keras.initializers import RandomNormal
  from keras.layers import Input, LeakyReLU
  
  from lib.model.nn_blocks import Conv2DOutput, UpscaleBlock, ResidualBlock
  from .original import Model as OriginalModel, KerasModel
  
  logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
  
 
</s> remove from keras.layers import Dense, Flatten, Input, Reshape

 </s> add  </s> remove from keras.layers import Dense, Flatten, Input, Reshape

 </s> add  </s> remove from keras.initializers import RandomNormal
from keras.layers import add, Dense, Flatten, Input, LeakyReLU, Reshape

 </s> add 
      Based on the dfaker model: https://github.com/dfaker """
  import logging
  import sys
  



  from lib.model.nn_blocks import Conv2DOutput, UpscaleBlock, ResidualBlock
  from .original import Model as OriginalModel, KerasModel
  
  logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
  
keep keep keep keep replace replace replace keep keep keep keep keep
 Update all Keras Imports to be conditional (#1214)

* Remove custom keras importer

* first round keras imports fix

* launcher.py: Remove KerasFinder references

* 2nd round keras imports update (lib and extract)

* 3rd round keras imports update (train)

* remove KerasFinder from tests

* 4th round keras imports update (tests) 
plugins/train/model/dfaker.py