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RuntimeError: CUDA out of memory. Tried to allocate 7.74 GiB (GPU 0; 23.69 GiB total capacity; 18.60 GiB already allocated; 2.78 GiB free; 19.05 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
Thanks very much from your work, and I need some assistance to train my own dataset, I change dimension 50 to 3 in convert_label function, but when starting training, it still reports CUDA out of memory error, I don't kown how to fix it
The text was updated successfully, but these errors were encountered:
RuntimeError: CUDA out of memory. Tried to allocate 7.74 GiB (GPU 0; 23.69 GiB total capacity; 18.60 GiB already allocated; 2.78 GiB free; 19.05 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
Thanks very much from your work, and I need some assistance to train my own dataset, I change dimension 50 to 3 in
convert_label
function, but when starting training, it still reportsCUDA out of memory
error, I don't kown how to fix itThe text was updated successfully, but these errors were encountered: