          - Instance Normalization: The Missing Ingredient for Fast Stylization - \
          https://arxiv.org/abs/1607.08022
      """
      def __init__(self,
                   axis=None,
                   epsilon=1e-3,
                   center=True,
                   scale=True,
                   beta_initializer="zeros",
 
</s> remove             msg += " - Average loss since last save: {}".format(", ".join(lossmsg))
 </s> add             msg += f" - Average loss since last save: {', '.join(lossmsg)}" </s> remove         title += " - {}".format(text) if text is not None and text else ""
 </s> add         title += f" - {text}" if text is not None and text else "" </s> remove         m_t_indices = tf.gather(m_t, indices)
 </s> add         m_t_indices = tf.gather(m_t, indices)  # pylint:disable=no-value-for-parameter </s> remove         super(L2_normalize, self).__init__(**kwargs)
 </s> add         super().__init__(**kwargs) </s> remove         self._trace_vars = dict()
 </s> add         self._trace_vars = {}
    # pylint:disable=too-many-instance-attributes,too-many-arguments
          - Instance Normalization: The Missing Ingredient for Fast Stylization - \
          https://arxiv.org/abs/1607.08022
      """
    # pylint:disable=too-many-instance-attributes,too-many-arguments
      def __init__(self,
                   axis=None,
                   epsilon=1e-3,
                   center=True,
                   scale=True,
                   beta_initializer="zeros",
keep keep add keep 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