Thank you for your impressive work! However, I trained it on a NVIDIA RTX 3090 with a batch size of 2 in womask_pet.conf, and is still resulting in out-of-memory issues. Is there anything wrong with my configuration parameters? How much memory does the model take with the default batch size of 2048?
Exception has occurred: RuntimeError
CUDA out of memory. Tried to allocate 1.50 GiB (GPU 0; 23.70 GiB total capacity; 20.47 GiB already allocated; 587.56 MiB free; 21.03 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Thank you for your impressive work! However, I trained it on a NVIDIA RTX 3090 with a batch size of 2 in womask_pet.conf, and is still resulting in out-of-memory issues. Is there anything wrong with my configuration parameters? How much memory does the model take with the default batch size of 2048?