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Try torch.backends.cudnn.enabled = False, it resolves my problem, but the execution becomes very slow.
I understood this situation. This is because I'm using GTX 3090, which only supports CUDA version>11.0 and pytorch >some certain release. But it seems that Pytorch used in this work is way too out-dated, so we may need to upgrade it.
My version information is as below:
cuDNN:8.5.0
cuda:11.7
pytorch=1.4.0
python=3.6.6
Ubuntu 20.04.4
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