          do not yet have a gradient definition in the Theano tree and cannot be used for learning
          """
  
          kernel = [self.kernel_size, self.kernel_size]
          y_true = K.reshape(y_true, [-1] + list(self.__int_shape(y_pred)[1:]))
          y_pred = K.reshape(y_pred, [-1] + list(self.__int_shape(y_pred)[1:]))
          patches_pred = self.extract_image_patches(y_pred,
                                                    kernel,
                                                    kernel,
                                                    'valid',
                                                    self.dim_ordering)
 
</s>
        y_true = K.reshape(y_true, [-1] + list(self._int_shape(y_pred)[1:]))
        y_pred = K.reshape(y_pred, [-1] + list(self._int_shape(y_pred)[1:]))
          do not yet have a gradient definition in the Theano tree and cannot be used for learning
          """
  
          kernel = [self.kernel_size, self.kernel_size]
        y_true = K.reshape(y_true, [-1] + list(self._int_shape(y_pred)[1:]))
        y_pred = K.reshape(y_pred, [-1] + list(self._int_shape(y_pred)[1:]))
        y_true = K.reshape(y_true, [-1] + list(self._int_shape(y_pred)[1:]))
        y_pred = K.reshape(y_pred, [-1] + list(self._int_shape(y_pred)[1:]))
          patches_pred = self.extract_image_patches(y_pred,
                                                    kernel,
                                                    kernel,
                                                    'valid',
                                                    self.dim_ordering)
keep keep keep keep replace 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