32a9e66e0e45b1a6119fcb0e1ed5f74c0d5dab15,art/attacks/evasion/simba_pixel.py,SimBA_pixel,generate,#SimBA_pixel#Any#Any#,65

Before Change

        n_dims = np.prod(x.shape)
        if self.order == "diag" or self.order == "perm":
            if self.max_iter > n_dims:
                self.max_iter = n_dims
                logger.info("`max_iter` was reset to %d because it needs to be //pixels x //channels or less for `order` of %s", n_dims, self.order)
        else:
            actual_max_iter = self.max_iter

        if self.order == "diag":

After Change

            indices = self.diagonal_order(x.shape[2], 3)[:self.max_iter]
        elif self.order == "perm":
            indices = np.random.permutation(n_dims)[:self.max_iter]
        indices_size = len(indices)
        while indices_size < self.max_iter:
            if self.order == "diag":
                tmp_indices = self.diagonal_order(x.shape[2], 3)
            elif self.order == "perm":
                tmp_indices = np.random.permutation(n_dims)
            indices = np.hstack((indices, tmp_indices))[:self.max_iter]
            indices_size = len(indices)

        clip_min = -np.inf
        clip_max = np.inf 
        if hasattr(self.classifier, "clip_values") and self.classifier.clip_values is not None:
            clip_min, clip_max = self.classifier.clip_values

Instances