Dec 28, 2018 · Tried to allocate 2.00 MiB (GPU 0; 11.00 GiB total capacity; 9.44 GiB already allocated; 997.01 MiB free; 10.01 GiB reserved in total by PyTorch) I don’t think I have the fragmentation issue discussed above, but 2 MB shouldn’t be a problem (I’m using a really small batch size).
Aug 03, 2020 · reducing to smallest batch_size =2 still didnt worked. Giving error, RuntimeError: CUDA out of memory. Tried to allocate 144.00 MiB (GPU 0; 2.00 GiB total capacity; 1.01 GiB already allocated; 105.76 MiB free; 1.05 GiB reserved in total by PyTorch) I tried to do restart and things, but it dont worked.
28.12.2018 · Can someone please explain this: RuntimeError: CUDA out of memory. Tried to allocate 350.00 MiB (GPU 0; 7.93 GiB total capacity; 5.73 GiB already allocated; 324.56 MiB free; 1.34 GiB cached) If there is 1.34 GiB cached, how can it not allocate 350.00 MiB? There is only one process running. torch-1.0.0/cuda10 And a related question: Are there any tools to show …
03.08.2020 · reducing to smallest batch_size =2 still didnt worked. Giving error, RuntimeError: CUDA out of memory. Tried to allocate 144.00 MiB (GPU 0; 2.00 GiB total capacity; 1.01 GiB already allocated; 105.76 MiB free; 1.05 GiB reserved in total by PyTorch) I tried to do restart and things, but it dont worked.
运行代码时出现的错误如下：RuntimeError: CUDA out of memory. Tried to allocate 2.00 MiB (GPU 0; 4.00 GiB total capacity; 2.91 GiB already allocated; 166.40 KiB free; 2.93 GiB reserved in total by PyTorch)看了一下自己...
Jun 17, 2020 · RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 2.00 GiB total capacity; 1.23 GiB already allocated; 18.83 MiB free; 1.25 GiB reserved in total by PyTorch) I had already find answer. and most of all say just reduce the batch size. I have tried reduce the batch size from 20 to 10 to 2 and 1. Right now still can't run the code.
May 16, 2019 · Tried to allocate 2.00 MiB (GPU 0; 7.79 GiB total capacity; 6.09 GiB already allocated; 28.69 MiB free; 6.26 GiB reserved in total by PyTorch) After reading some blogs, I found some discussion here which pointed out that it is due to batch size and solution is possible if batch size is reduced.
16.06.2020 · RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 2.00 GiB total capacity; 1.23 GiB already allocated; 18.83 MiB free; 1.25 GiB reserved in total by PyTorch) I had already find answer. and most of all say just reduce the batch size. I have tried reduce the batch size from 20 to 10 to 2 and 1. Right now still can't run the code.
16.08.2021 · 问题描述RuntimeError: CUDA out of memory. Tried to allocate 244.00 MiB (GPU 0; 2.00 GiB total capacity; 1014.91 MiB already allocated; 0 bytes free; 1.19 GiB reserved in total by PyTorch)Windows 报错CUDA超出内存，但是GPU利用率为0+-----
Tried to allocate 98.00 MiB (GPU 0; 5.79 GiB total capacity; 4.75 bug：RuntimeError: CUDA out of memory. Tried to allocate 9.00 MiB (GPU 0； 11.17 GiB total capacity； 8
Tried to allocate 978.00 MiB (GPU 0; 15.90 GiB total capacity; 14.22 GiB already allocated; 167.88 MiB free; 14.99 GiB reserved in total by PyTorch) I searched for …
14.05.2020 · Tried to allocate 128.00 MiB (GPU 0; 11.17 GiB total capacity; 10.85 GiB already allocated; 24.81 MiB free; 10.86 GiB reserved in total by PyTorch) I have tried using batch size 1, and it SOMETIMES work. But anything larger than 1 wouldn't work. Also here's my GPU info: It might have to do with how unilm is doing memory management?