  import numpy as np
  import tensorflow as tf
  from keras import backend as K
  from keras import initializers
  from keras.utils import get_custom_objects
  
  from lib.utils import get_backend
  
  logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
  
 
</s> remove from lib.utils import get_backend
 </s> add from lib.utils import get_backend, get_keras_custom_objects as get_custom_objects </s> remove from tensorflow.python.keras.engine import compile_utils
 </s> add from tensorflow.python.keras.engine import compile_utils  # pylint:disable=no-name-in-module </s> remove from tensorflow.core.util import event_pb2
from tensorflow.python.framework import errors_impl as tf_errors
 </s> add from tensorflow.core.util import event_pb2  # pylint:disable=no-name-in-module
from tensorflow.python.framework import (  # pylint:disable=no-name-in-module
    errors_impl as tf_errors) </s> remove from keras.utils import get_custom_objects

from lib.utils import get_backend
 </s> add 
  import numpy as np
  import tensorflow as tf
  from keras import backend as K
  from keras import initializers

  
  from lib.utils import get_backend
  
  logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
  
keep keep keep keep replace keep keep keep keep keep
 Update code to support Tensorflow versions up to 2.8 (#1213)

* Update maximum tf version in setup + requirements

* - bump max version of tf version in launcher
- standardise tf version check

* update keras get_custom_objects  for tf>2.6

* bugfix: force black text in GUI file dialogs (linux)

* dssim loss - Move to stock tf.ssim function

* Update optimizer imports for compatibility

* fix logging for tf2.8

* Fix GUI graphing for TF2.8

* update tests

* bump requirements.txt versions

* Remove limit on nvidia-ml-py

* Graphing bugfixes
  - Prevent live graph from displaying if data not yet available

* bugfix: Live graph. Collect loss labels correctly

* fix: live graph - swallow inconsistent loss errors

* Bugfix: Prevent live graph from clearing during training

* Fix graphing for AMD 
lib/model/initializers.py