  from ._base import ModelBase, KerasModel
  
  
  class Model(ModelBase):
      """ Improved Autoencoder Model """
      def __init__(self, *args, **kwargs):
 
</s> remove from keras.layers import Concatenate, Dense, Flatten, Input, Reshape

 </s> add  </s> remove from .original import Model as OriginalModel, KerasModel
 </s> add from .original import Model as OriginalModel, KerasModel, Dense, Flatten, Input, Reshape

if get_backend() == "amd":
    from keras.layers import Concatenate, Dense, Flatten, Input, Reshape

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

  from ._base import ModelBase, KerasModel
  
if get_backend() == "amd":
    from keras.layers import Concatenate, Dense, Flatten, Input, Reshape

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

  
  class Model(ModelBase):
      """ Improved Autoencoder Model """
      def __init__(self, *args, **kwargs):
keep add 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/iae.py