376058931d26b5351e9aed2dcf9dd2932b0cadab,foolbox/ext/native/attacks/basic_iterative_method.py,L2BasicIterativeAttack,__call__,#L2BasicIterativeAttack#,40

Before Change

        self.steps = steps

    def __call__(self, model: Model, inputs, labels):
        inputs, labels, restore = wrap(inputs, labels)

        def loss_fn(inputs):
            logits = model.forward(inputs)

After Change

    ) -> T:
        x0, restore_type = ep.astensor_(inputs)
        criterion_ = get_criterion(criterion)
        del inputs, criterion

        if not isinstance(criterion_, Misclassification):
            raise ValueError("unsupported criterion")

Instances