      """
      def __init__(self, size=(2, 2), data_format=None, **kwargs):
          super().__init__(**kwargs)
          if get_backend() == "amd":
              self.data_format = K.normalize_data_format(data_format)
          else:
              self.data_format = conv_utils.normalize_data_format(data_format)
          self.size = conv_utils.normalize_tuple(size, 2, 'size')
  
      def call(self, inputs, **kwargs):  # pylint:disable=unused-argument
 
</s> remove     def call(self, inputs, **kwargs):  # pylint:disable=unused-argument
 </s> add     def call(self, inputs, *args, **kwargs): </s> remove             self.data_format = K.normalize_data_format(data_format)
 </s> add             self.data_format = K.normalize_data_format(data_format)  # pylint:disable=no-member </s> remove         super(_GlobalPooling2D, self).__init__(**kwargs)
 </s> add         super().__init__(**kwargs) </s> remove         super(SubPixelUpscaling, self).__init__(**kwargs)
 </s> add         super().__init__(**kwargs) </s> remove     def call(self, inputs, **kwargs):  # pylint:disable=unused-argument
 </s> add     def call(self, inputs, *args, **kwargs):
            self.data_format = K.normalize_data_format(data_format)  # pylint:disable=no-member
      """
      def __init__(self, size=(2, 2), data_format=None, **kwargs):
          super().__init__(**kwargs)
          if get_backend() == "amd":
            self.data_format = K.normalize_data_format(data_format)  # pylint:disable=no-member
          else:
              self.data_format = conv_utils.normalize_data_format(data_format)
          self.size = conv_utils.normalize_tuple(size, 2, 'size')
  
      def call(self, inputs, **kwargs):  # pylint:disable=unused-argument
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/layers.py