      """
      pass  # pylint:disable=unnecessary-pass
  
  
  class GetModel():  # Pylint:disable=too-few-public-methods
      """ Check for models in their cache path.
  
      If available, return the path, if not available, get, unzip and install model
  
      Parameters
 
</s> remove             with open(trigger, "w"):
 </s> add             with open(trigger, "w", encoding="utf8"): </s> remove class ConvolutionAware(initializers.Initializer):
 </s> add class ConvolutionAware(initializers.Initializer):  # pylint: disable=no-member </s> remove     def call(self, inputs, **kwargs):  # pylint:disable=unused-argument
 </s> add     def call(self, inputs, *args, **kwargs): </s> remove             zip_file = zipfile.ZipFile(self._model_zip_path, "r")
            self._write_model(zip_file)
 </s> add             with zipfile.ZipFile(self._model_zip_path, "r") as zip_file:
                self._write_model(zip_file) </s> remove             msg = ("There are multiple plugin types ('{}') stored in the model folder '{}'. This "
                   "is not supported.\nPlease split the model files into their own folders before "
                   "proceeding".format("', '".join(multiple_models), self.model_dir))
 </s> add             ptypes = "', '".join(multiple_models)
            msg = (f"There are multiple plugin types ('{ptypes}') stored in the model folder '"
                   f"{self.model_dir}'. This is not supported.\nPlease split the model files into "
                   "their own folders before proceeding")
class GetModel():  # pylint:disable=too-few-public-methods
      """
      pass  # pylint:disable=unnecessary-pass
  
  
class GetModel():  # pylint:disable=too-few-public-methods
      """ Check for models in their cache path.
  
      If available, return the path, if not available, get, unzip and install model
  
      Parameters
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/utils.py