Revert 'Refactor torch training test to stop using metrics from check…

…point'

tests/torch/test_compression_training.py

@@ -174,7 +174,9 @@ def finalize(self, dataset_dir, tmp_path_factory, weekly_models_path) -> "Compre
         return self
 
     def get_metric(self):
-        return self.expected_accuracy_
+        return self.sample_handler.get_metric_value_from_checkpoint(
+            self.checkpoint_save_dir, self.checkpoint_name, self.config_path
+        )
 
     def _get_weight_path(self, weekly_models_path):
         if self.weights_filename_ is None:
@@ -247,7 +249,9 @@ def subnet_expected_accuracy(self, subnet_expected_accuracy: float):
         return self
 
     def get_subnet_metric(self):
-        return self.subnet_expected_accuracy_
+        return self.sample_handler.get_metric_value_from_checkpoint(
+            self.checkpoint_save_dir, self.subnet_checkpoint_name
+        )
 
     def _get_weight_path(self, weekly_models_path):
         return os.path.join(