Open Lonya0 opened 2 months ago
Using nvidia rtx 4090 (24G memory), to train a YIG model, whose hamiltonian.h5 file sizes 230MB, encountered error: cuda out of memory. I have go through CrI3 test and successed before. How can I make it possible to train this model?
You could try switching to DeepH-E3 for training. It has the same data interface as DeepH but requires less GPU memory.
Using nvidia rtx 4090 (24G memory), to train a YIG model, whose hamiltonian.h5 file sizes 230MB, encountered error: cuda out of memory. I have go through CrI3 test and successed before. How can I make it possible to train this model?