f97790bcf4aba7b4efc713af567bbd5e6f1af57e,poutyne/framework/experiment.py,Experiment,test,#Experiment#Any#,340

Before Change

        if seed is not None:
            // Make training deterministic.
            random.seed(seed)
            np.random.seed(seed)
            torch.manual_seed(seed)

        best_epoch_stats = None
        if load_best_checkpoint:

After Change

        Returns:
            dict sorting of all the test metrics values by their names.
        
        set_seeds(seed)

        best_epoch_stats = self.load_checkpoint(checkpoint)

        test_loss, test_metrics = self.model.evaluate_generator(test_generator, steps=steps)

Instances