Hi, I am training a seq2seq RNN model, and I keep getting CUDNN_STATUS_EXECUTION_FAILED errors. I’ve looked through numerous threads and many solutions, and none of them apply here. I’ve checked that the GPU memory and the RAM are not running out, I’ve triple checked my CUDA and CUDNN versions are good, and I still get this error. The strange thing is that when I use torch.autograd.detect_anomaly(), the problem goes away. It trains much slower because of all the other debugging things that anomaly detection does, but strangely enough it also takes care of my error. What does anomaly detection do that could remedy this?