  """ DeepFakesLab H128 Model
      Based on https://github.com/iperov/DeepFaceLab
  """
  
  from keras.layers import Conv2D, Dense, Flatten, Input, Reshape
  from keras.models import Model as KerasModel
  
  from .original import logger, Model as OriginalModel
  
  
 
</s> remove from keras.layers import Conv2D, Dense, Flatten, Input, Reshape, SpatialDropout2D
 </s> add from keras.layers import Dense, Flatten, Input, Reshape, SpatialDropout2D </s> remove from keras.layers import Conv2D, Dense, Flatten, Input, Reshape
 </s> add from keras.layers import Dense, Flatten, Input, Reshape
 </s> remove from keras.layers import Conv2D, Input
 </s> add from keras.layers import Input </s> remove from keras.layers import Conv2D, Dense, Flatten, Input, Reshape
 </s> add from keras.layers import Dense, Flatten, Input, Reshape
from keras.layers import Dense, Flatten, Input, Reshape
  """ DeepFakesLab H128 Model
      Based on https://github.com/iperov/DeepFaceLab
  """
  
from keras.layers import Dense, Flatten, Input, Reshape
  from keras.models import Model as KerasModel
  
  from .original import logger, Model as OriginalModel
  
  
keep keep keep keep replace keep keep keep keep keep
 Add Convolutional Aware Initialization (#795)

* Training: Add Convolutional Aware Initialization config option

* Centralize Conv2D layer for handling initializer

* Add 'is-output' to NNMeta to indicate that network is an output to the Model 
plugins/train/model/dfl_h128.py