afd5dc51f603cdf30e1991993ba4f06f1f385fc9,poutyne/framework/model.py,Model,evaluate_generator,#Model#Any#,948

Before Change

        callback_list.on_test_end(res)

        return res

    def evaluate_on_batch(self, x, y, *, return_pred=False):
        
        Computes the loss and the metrics of the network on a single batch of samples and optionally

After Change

                                     callback_list,
                                     mode="test")

        test_begin_time = timeit.default_timer()
        loss, batch_metrics, pred_y, true_y = self._validate(step_iterator,
                                                             return_pred=return_pred,
                                                             return_ground_truth=return_ground_truth)
        test_total_time = timeit.default_timer() - test_begin_time

        step_iterator.epoch_metrics = self._get_epoch_metrics()

        if return_pred and concatenate_returns:

Instances