Closed ShotaArima closed 1 month ago
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IndexError Traceback (most recent call last)
/tmp/ipykernel_2903/4182338255.py in <module>
55 # Generate adversarial examples
56 df_adv_lpf = gen_adv(config, 'LowProFool')
---> 57 df_adv_df = gen_adv(config, 'Deepfool')
58 config['AdvData'] = {'LowProFool' : df_adv_lpf, 'Deepfool' : df_adv_df}
59
/tmp/ipykernel_2903/3521497375.py in gen_adv(config, method)
43 orig_pred, adv_pred, x_adv, loop_i = lowProFool(x_tensor, model, weights, encoded_bounds, maxiters, alpha, lambda_)
44 elif method == 'Deepfool':
---> 45 orig_pred, adv_pred, x_adv, loop_i = deepfool(x_tensor, model, maxiters, alpha, bounds, weights=[])
46 else:
47 raise Exception("Invalid method", method)
/src/Adverse.py in deepfool(x_old, net, maxiters, alpha, bounds, weights, overshoot)
197 # zero_gradients(x)
198 x.grad = None
--> 199 output[I[1]].backward(retain_graph=True)
200 cur_grad = x.grad.data.numpy().copy()
201
IndexError: index 1 is out of bounds for dimension 0 with size 1
deepfoolを2値分類するために幾つかの変更する必要がある by Claude
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KeyError Traceback (most recent call last)
/tmp/ipykernel_3095/4182338255.py in <module>
55 # Generate adversarial examples
56 df_adv_lpf = gen_adv(config, 'LowProFool')
---> 57 df_adv_df = gen_adv(config, 'Deepfool')
58 config['AdvData'] = {'LowProFool' : df_adv_lpf, 'Deepfool' : df_adv_df}
59
/tmp/ipykernel_3095/1726810454.py in gen_adv(config, method)
43 orig_pred, adv_pred, x_adv, loop_i = lowProFool(x_tensor, model, weights, encoded_bounds, maxiters, alpha, lambda_)
44 elif method == 'Deepfool':
---> 45 orig_pred, adv_pred, x_adv, loop_i = deepfool(x_tensor, model, maxiters, alpha, bounds, weights=[])
46 else:
47 raise Exception("Invalid method", method)
/src/Adverse.py in deepfool(x_old, net, maxiters, alpha, bounds, weights, overshoot)
234
235 if len(bounds) > 0:
--> 236 pert_x = clip(pert_x, bounds[0], bounds[1])
237
238 x = Variable(pert_x, requires_grad=True)
KeyError: 0
close: #7