7354ffe0d8914caf96d8ebd089c03c1a89326097,foolbox/batching.py,,run_parallel,#Any#Any#Any#Any#Any#Any#Any#Any#,94

Before Change

                attacks_requesting_backwards.append(attack)
                backwards_args.append(args)
            elif method == "forward_and_gradient_one":
                raise NotImplementedError("batching support for forward_and_"
                                          "gradient_one not yet implemented; "
                                          "please open an issue")
            else:
                assert False
        n_active_attacks = len(attacks_requesting_predictions) \
            + len(attacks_requesting_gradients) \

After Change

        if len(attacks_requesting_prediction_gradients) > 0:
            logging.debug("calling forward_and_gradient_one with {}".format(len(attacks_requesting_prediction_gradients)))  // noqa: E501

            predictions_gradients_args = map(np.stack,
                                             zip(*predictions_gradients_args))

            prediction_gradients = model.forward_and_gradient(
                *predictions_gradients_args)

Instances