  else:
      # Ignore linting errors from Tensorflow's thoroughly broken import system
      from tensorflow.keras.layers import Concatenate, Dense, Flatten, Input, LeakyReLU, Reshape  # noqa pylint:disable=import-error,no-name-in-module
  
  
  class Model(ModelBase):
      """ SAE Model from DFL """
      def __init__(self, *args, **kwargs):
 
</s> remove     from keras.initializers import RandomNormal
 </s> add     from keras.initializers import RandomNormal  # pylint:disable=no-name-in-module </s> remove     from keras.initializers import RandomNormal
 </s> add     from keras.initializers import RandomNormal  # pylint:disable=no-name-in-module </s> remove     from keras.initializers import RandomNormal
 </s> add     from keras.initializers import RandomNormal  # pylint:disable=no-name-in-module
logger = logging.getLogger(__name__)  # pylint: disable=invalid-name

  else:
      # Ignore linting errors from Tensorflow's thoroughly broken import system
      from tensorflow.keras.layers import Concatenate, Dense, Flatten, Input, LeakyReLU, Reshape  # noqa pylint:disable=import-error,no-name-in-module
  
logger = logging.getLogger(__name__)  # pylint: disable=invalid-name

  
  class Model(ModelBase):
      """ SAE Model from DFL """
      def __init__(self, *args, **kwargs):
keep keep keep add keep keep keep keep
 Refactoring and TravisCI to Github Actions (#1239)

* refactor training

* travis to actions 
plugins/train/model/dfl_sae.py