@@ -82,6 +82,8 @@ for i, data in enumerate(dataset):
    min_dist += (generated - generated_noattack).norm(float('-inf'))
    n_samples += 1

+    generated, genereated_noattack, adv_image, perturb = None, None, None, None
+
 # Print metrics
 print('{} images. L1 error: {}. L2 error: {}. L0 error: {}. L_-inf error: {}. Perceptual error: {}.'.format(n_samples, 
 l1_error / n_samples, l2_error / n_samples, l0_error / n_samples, min_dist / n_samples, perceptual_error / n_samples))