  import logging
  import sys
  
  from keras.initializers import RandomNormal
  from keras.layers import Input
  
  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 from keras.layers import Dense, Flatten, Input, LeakyReLU, Reshape </s> remove from keras.layers import add, Dense, Flatten, Input, Reshape
 </s> add from keras.layers import add, Dense, Flatten, Input, LeakyReLU, Reshape </s> remove from keras.layers import Concatenate, Dense, Flatten, Input, Reshape
 </s> add from keras.layers import Concatenate, Dense, Flatten, Input, LeakyReLU, Reshape </s> remove from keras.layers import Dense, Flatten, Input, Reshape, SpatialDropout2D
 </s> add from keras.layers import Dense, Flatten, Input, LeakyReLU, Reshape, SpatialDropout2D </s> remove         var_x = LeakyReLU(alpha=0.2, name="{}_leakyrelu_0".format(self._name))(inputs)
 </s> add         var_x = inputs
from keras.layers import Input, LeakyReLU
  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
keep keep keep keep replace keep keep keep keep keep
 Fixups:
  - lib.gui.display - Catch error when trying to delete non-existant notebook tabs
  - lib.model.nn_blocks.ResidualBlock: Remove first LeakyReLU (explicit > implicit)
  - lib.model.nn_blocks._get_default_initializer - Always use ConvAware if selected
  - plugins.model.model - Add explicit leakyReLUs for ResBlocks 
plugins/train/model/dfaker.py