Hi.
When I run the alexnet.py code to create the model and then run the attack_alexnet.py code, I have an oom problem, so I ask a question.
First of all, my setting environment was run with rtx 2080ti and I used tensorflow-gpu version 2.1.0 as in requirements.txt.
So what I want to ask is
What setting environment was used to run the code, and I am curious about the minimum graphic specification or graphic memory to execute the code.
I am curious to know which variables need to be changed in order to be executed properly with the current graphics card.
Hi @detaimee, you can try to reduce the batch sizes for training/testing datasets. I also found this stackoverflow question that has some other approaches you can try.
Hi. When I run the alexnet.py code to create the model and then run the attack_alexnet.py code, I have an oom problem, so I ask a question. First of all, my setting environment was run with rtx 2080ti and I used tensorflow-gpu version 2.1.0 as in requirements.txt. So what I want to ask is
Thanks in advance.