8ba829009b119625db5fe3ca9ae5389454c12c7f,cleverhans/attacks.py,SaliencyMapMethod,generate,#SaliencyMapMethod#Any#,477

Before Change

        // Define Jacobian graph wrt to this input placeholder
        preds = self.model.get_probs(x)
        nb_classes = preds.get_shape().as_list()[-1]
        grads = jacobian_graph(preds, x, nb_classes)

        // Define appropriate graph (targeted / random target labels)
        if self.y_target is not None:

After Change

                return result

            labels, nb_classes = self.get_or_guess_labels(x, kwargs)
            self.y_target = tf.py_func(random_targets, [labels], tf.float32)
            self.y_target.set_shape([None, nb_classes])

        return jsma(x, model=self.model, y_target=self.y_target,

Instances