Problem that forward output is tuple rather than tensor

Hi, dear Frank.

I met the problem caused by PyTorch. The returned forward output is tuple rather than tensor.

I must do operation on output[0] rather than output.

However, the internal code of auto attack is doing on output tensor directly. Is there an auto-attack code version to support the operation to do the execution on the output[0] rather than output? Or should I adjust the PyTorch-Version to support the auto-attack and retrain the model?

Traceback (most recent call last):
File "eval_cifar.py", line 110, in
main()
File "eval_cifar.py", line 107, in main
X_adv = adversary.run_standard_evaluation(x_test, y_test, bs=128)
File "/opt/conda/lib/python3.6/site-packages/autoattack-0.1-py3.6.egg/autoattack/autoattack.py", line 91, in run_standard_evaluation
AttributeError: 'tuple' object has no attribute 'max'

I am looking forward to your answer.

Thanks & Regards!
Momo

Hi,

I think a solution could be to use a wrapper like

class NewModel():
    def __init__(self, model):
        self.model = model

    def __call__(self, x):
        return self.model(x)[0]

on your model, so that it returns only the first element (this is similar to #16).

Hope this helps!

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Problem that forward output is tuple rather than tensor #83

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Problem that forward output is tuple rather than tensor #83

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fra31 commented on Feb 27, 2022

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