          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
 
</s>
    def _int_shape(input_tensor):
          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
keep keep keep keep replace keep keep keep keep keep
 Update to TF2.3 (#1100)

* Minimum requirements to tf2.3.
  - Handle upgrades for Windows users with tf2.2 installed by Pip
  - Handle windows upgrade from pip tf2.2
  - Explicitly install Cuda for Conda installs

* Update tensorflow errors api reference
* Suppress AutoGraph warning messages
* Update GUI Stats to work with tf2.3
* Fix live graph for tf2.3
* DSSIMObjective - autoGraph bugfix
* Update Travis test
lib/model/losses_tf.py