                           self._io.model_exists, self._is_predict, is_summary)
              super().build()
              return
          with self._settings.strategy_scope():
              model = self._io._load()  # pylint:disable=protected-access
              model = self._update_dropouts(model)
              self._model = model
              self._compile_model()
              self._output_summary()
  
 
</s> remove                 model = self._io._load()  # pylint:disable=protected-access
 </s> add                 model = self.io.load() </s> remove         if not all(os.path.isfile(os.path.join(self.model_dir, fname))
 </s> add         if not all(os.path.isfile(os.path.join(self.io.model_dir, fname)) </s> remove         filename = self._io._filename  # pylint:disable=protected-access
 </s> add         filename = self._io.filename </s> remove         if "[saved models]" not in output.strip().lower():
 </s> add         t_output = output.strip().lower()
        if "[saved model]" not in t_output or t_output.endswith("[saved model]"):
            # Not a saved model line or saving the model for a reason other than standard saving
            model = self.io.load()
                           self._io.model_exists, self._is_predict, is_summary)
              super().build()
              return
          with self._settings.strategy_scope():
            model = self.io.load()
              model = self._update_dropouts(model)
              self._model = model
              self._compile_model()
              self._output_summary()
  
keep keep keep keep replace keep keep keep keep keep
 Learning Rate finder (#1341)

* Add LR Finder support structure

* Move trainer.Feeder to lib.training.generator

* Expose model.io

* Add lr_finder

* Update docs and locales

* Pre-PR fixups
  - Fix training graph not displaying
  - CI fixes
  - Switch lr finder progress to tqdm
  - Exit lr finder early on NaN
  - Display lr finder progress in GUI 
plugins/train/model/phaze_a.py