Intel XEON E-2314 2.80GHZ SKTLGA1200 8.00MB CACHE TRAY

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CUDA out of memory. Tried to allocate 32.00 MiB (GPU 0; 3.00 GiB total capacity; 1.86 GiB already allocated; 15.55 MiB free; 1.95 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

If you have been asking yourself is 8 MB smaller than 8 KB, then the answer in any case is “no”. If, on the other hand, you have been wondering is 8 MB bigger than 8 kB, then you now know that this is indeed the case. Conclusion CUDA out of memory. Tried to allocate 352.00 MiB (GPU 0; 3.00 GiB total capacity; 1.53 GiB already allocated; 309.83 MiB free; 1.65 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

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RuntimeError: CUDA out of memory. Tried to allocate 1.12 GiB (GPU 0; 24.00 GiB total capacity; 1.44 GiB already allocated; 19.88 GiB free; 2.10 GiB reserved in total by PyTorch)”

base) F:\Suresh\st-gcn>python main1.py recognition -c config/st_gcn/ntu-xsub/train.yaml --device 0 --work_dir ./work_dir From the above definition of MB, you can know that 1MB is 1,000,000 (10 6) bytes in the decimal system while 1048576 (2 20) bytes in the binary system. In 1998, the International Electrotechnical Commission (IEC) proposed standards of binary prefixes requiring the use of megabyte to strictly denote 1000 2 (10 6) bytes and mebibyte to denote 1024 2 (2 20) bytes. This proposal was adopted by the IEEE, EU, ISO and NIST by the end of 2009. Yet, the megabyte is still been widely used for decimal and binary systems. Decimal BaseAlso I have found that required memory and allocated memory seem to change with changing the batch size python scripts/txt2img.py --prompt "flying pig" --H 512 --W 512 --seed 27 --n_iter 1 --ddim_steps 100