Intel XEON E-2314 2.80GHZ SKTLGA1200 8.00MB CACHE TRAY
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Intel XEON E-2314 2.80GHZ SKTLGA1200 8.00MB CACHE TRAY
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If the file upload process takes a long time or is unresponsive or very slow, please try to cancel and resubmit. For the batch size I have applied first 20 possible squares of twos [2, 4, 16, 34 . . . 1048576] yet I have been getting error File "/home/emarquer/miniconda3/envs/pytorch/lib/python3.6/runpy.py", line 193, in _run_module_as_main
CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 3.00 GiB total capacity; 1.92 GiB already allocated; 13.55 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_CONFDesired video size is an approximation value, the file size of output video will be close to this value, it cannot be greater than the source file size. The tool will prompt you if this value is less than 30% of source file size, and you can decide whether to continue. CUDA out of memory. Tried to allocate 32.00 MiB (GPU 0; 3.00 GiB total capacity; 1.87 GiB already allocated; 5.55 MiB free; 1.96 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
RuntimeError: CUDA out of memory. Tried to allocate 28.00 MiB (GPU 0; 24.00 GiB total capacity; 2.78 GiB already allocated; 19.15 GiB free; 2.82 GiB reserved in total by PyTorch)” python scripts/txt2img.py --prompt "flying pig" --H 512 --W 512 --seed 27 --n_iter 1 --ddim_steps 100
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RuntimeError: CUDA out of memory. Tried to allocate 3.12 GiB (GPU 0; 24.00 GiB total capacity; 2.06 GiB already allocated; 19.66 GiB free; 2.31 GiB reserved in total by PyTorch)”
Select a video file (such as *.mp4, *.3gp, *.asf, *.avi, *.divx, *.m2ts, *.m4v, *.mkv, *.mov, *.mpeg, *.mts, *.rm, *.rmvb, *.vob, *.webm, *.wmv and more). RuntimeError: CUDA out of memory. Tried to allocate 3.00 GiB (GPU 0; 8.00 GiB total capacity; 3.65 GiB already allocated; 1.18 GiB free; 4.30 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 CUDA out of memory. Tried to allocate 32.00 MiB (GPU 0; 3.00 GiB total capacity; 1.83 GiB already allocated; 19.54 MiB free; 1.92 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 File "/content/gdrive/My Drive/Colab Notebooks/STANet-withpth/models/CDFA_model.py", line 72, in testit is always throwing Cuda out of Memory at different batch sizes, plus I have more free memory than it states that I need, and by lowering batch sizes, it INCREASES the memory it tries to allocate which doesn’t make any sense. CUDA out of memory. Tried to allocate 32.00 MiB (GPU 0; 3.00 GiB total capacity; 1.83 GiB already allocated; 27.55 MiB free; 1.94 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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