          LeakyReLU, UpSampling2D)
  
  
  class Model(ModelBase):
      """ DLight Autoencoder Model """
  
      def __init__(self, *args, **kwargs):
          super().__init__(*args, **kwargs)
 
</s> remove     _test_optimizer(optimizers.AdaBelief(), target=0.45)
 </s> add     _test_optimizer(optimizers.AdaBelief(), target=0.20) </s> remove 
 </s> add import logging </s> remove from ._base import ModelBase, KerasModel, logger
 </s> add from ._base import ModelBase, KerasModel
logger = logging.getLogger(__name__)  # pylint: disable=invalid-name

          LeakyReLU, UpSampling2D)
  
logger = logging.getLogger(__name__)  # pylint: disable=invalid-name

  
  class Model(ModelBase):
      """ DLight Autoencoder Model """
  
      def __init__(self, *args, **kwargs):
          super().__init__(*args, **kwargs)
keep add keep keep keep keep keep keep
 Refactoring and TravisCI to Github Actions (#1239)

* refactor training

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