  
  if get_backend() == "amd":
      from keras.backend import normalize_data_format  # pylint:disable=ungrouped-imports
  else:
      from tensorflow.python.keras.utils.conv_utils import normalize_data_format
  
  
  class InstanceNormalization(Layer):
      """Instance normalization layer (Lei Ba et al, 2016, Ulyanov et al., 2016).
  
 
</s> remove     from keras.backend import normalize_data_format  # pylint:disable=ungrouped-imports
 </s> add     from keras.backend \
        import normalize_data_format  # pylint:disable=ungrouped-imports,no-name-in-module </s> remove from keras.utils import get_custom_objects

from lib.utils import get_backend
 </s> add  </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 keras.utils import get_custom_objects
 </s> add 
    # pylint:disable=no-name-in-module
    from tensorflow.python.keras.utils.conv_utils \
        import normalize_data_format   # pylint:disable=no-name-in-module
  
  if get_backend() == "amd":
      from keras.backend import normalize_data_format  # pylint:disable=ungrouped-imports
  else:
    # pylint:disable=no-name-in-module
    from tensorflow.python.keras.utils.conv_utils \
        import normalize_data_format   # pylint:disable=no-name-in-module
  
  
  class InstanceNormalization(Layer):
      """Instance normalization layer (Lei Ba et al, 2016, Ulyanov et al., 2016).
  
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/normalization/normalization_common.py