  
      def __init__(self, eps_std=0.05, seed=None, initialized=False):
          self.eps_std = eps_std
          self.seed = seed
          self.orthogonal = initializers.Orthogonal()
          self.he_uniform = initializers.he_uniform()
          self.initialized = initialized
  
      def __call__(self, shape, dtype=None):
          """ Call function for the ICNR initializer.
  
 
</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         self._carry_over = dict()
 </s> add         self._carry_over = {} </s> remove         self.kernel_size = kernel_size
 </s> add         self.filter_size = filter_size
        self.filter_sigma = filter_sigma </s> remove         self.c_1 = (self.k_1 * self.max_value) ** 2
        self.c_2 = (self.k_2 * self.max_value) ** 2
        self.dim_ordering = K.image_data_format()

    @staticmethod
    def _int_shape(input_tensor):
        """ Returns the shape of tensor or variable as a tuple of int or None entries.

        Parameters
        ----------
        input_tensor: tensor or variable
            The input to return the shape for

        Returns
        -------
        tuple
            A tuple of integers (or None entries)
        """
        return K.int_shape(input_tensor)
 </s> add 
        self.orthogonal = initializers.Orthogonal()  # pylint:disable=no-member
        self.he_uniform = initializers.he_uniform()  # pylint:disable=no-member
  
      def __init__(self, eps_std=0.05, seed=None, initialized=False):
          self.eps_std = eps_std
          self.seed = seed
        self.orthogonal = initializers.Orthogonal()  # pylint:disable=no-member
        self.he_uniform = initializers.he_uniform()  # pylint:disable=no-member
        self.orthogonal = initializers.Orthogonal()  # pylint:disable=no-member
        self.he_uniform = initializers.he_uniform()  # pylint:disable=no-member
          self.initialized = initialized
  
      def __call__(self, shape, dtype=None):
          """ Call function for the ICNR initializer.
  
keep keep keep keep replace 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