  import numpy as np
  import tensorflow as tf
  from tensorflow.python.keras.engine import compile_utils  # pylint:disable=no-name-in-module
  
  from keras import backend as K
  
  logger = logging.getLogger(__name__)  # pylint:disable=invalid-name
  
  
  class DSSIMObjective(tf.keras.losses.Loss):  # pylint:disable=too-few-public-methods
 
</s> remove logger = logging.getLogger(__name__)  # pylint:disable=invalid-name
 </s> add logger = logging.getLogger(__name__) </s> remove from tensorflow.python.keras.engine import compile_utils  # pylint:disable=no-name-in-module
 </s> add  </s> remove from keras import backend as K
from keras import initializers
 </s> add  </s> remove # pylint:disable=no-name-in-module,import-error
from keras.layers import Activation
from keras.models import load_model as k_load_model, Model
 </s> add  </s> remove from lib.utils import get_backend, get_keras_custom_objects as get_custom_objects
 </s> add from lib.utils import get_backend

if get_backend() == "amd":
    from keras.utils import get_custom_objects  # pylint:disable=no-name-in-module
    from keras import backend as K
    from keras import initializers
else:
    # Ignore linting errors from Tensorflow's thoroughly broken import system
    from tensorflow.keras.utils import get_custom_objects  # noqa pylint:disable=no-name-in-module,import-error
    from tensorflow.keras import initializers, backend as K  # noqa pylint:disable=no-name-in-module,import-error
# Ignore linting errors from Tensorflow's thoroughly broken import system
from tensorflow.python.keras.engine import compile_utils  # noqa pylint:disable=no-name-in-module,import-error
from tensorflow.keras import backend as K  # pylint:disable=import-error
  import numpy as np
  import tensorflow as tf
  from tensorflow.python.keras.engine import compile_utils  # pylint:disable=no-name-in-module
  
# Ignore linting errors from Tensorflow's thoroughly broken import system
from tensorflow.python.keras.engine import compile_utils  # noqa pylint:disable=no-name-in-module,import-error
from tensorflow.keras import backend as K  # pylint:disable=import-error
  
  logger = logging.getLogger(__name__)  # pylint:disable=invalid-name
  
  
  class DSSIMObjective(tf.keras.losses.Loss):  # pylint:disable=too-few-public-methods
keep keep keep keep replace keep 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) 
lib/model/losses_tf.py