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.
1.初始报错CUDA out of memory. Tried to allocate 244.00 MiB (GPU 0; 2.00 GiB total capacity; 1.12 GiB already allocated; 25.96 MiB free; 1.33 GiB reserved in total by PyTorch)需要分配244MiB，但只剩25.96MiB空闲。
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.
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).
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 hours trying to find the best way to resolve this.
当你使用pytorch框架跑程序时，出现运行时报错： RuntimeError: CUDA out of memory. Tried to allocate 2.00 MiB (GPU 0; 11.00 GiB total capacity; 8.53 GiB already allocate； 我运行几次代码，调试不同的bat…
28.12.2018 · 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 …
May 16, 2019 · Tried to allocate 24.00 MiB (GPU 0; 7.92 GiB total capacity; 79.29 MiB already allocated; 41.69 MiB free; 118.00 MiB reserved in total by PyTorch) There's one other major mystery. I got this running in Google Colab and ended up with a much better GPU :) but also only 4.7 GB used, as where locally I'm actually hitting ram limits with 7.7 GB used.
Tried to allocate 2.00 MiB (GPU 0; 6.00 GiB total capacity; 4.47 GiB already allocated; 716.80 KiB free; 4.48 GiB reserved in total by PyTorch) I tried to use both gc.collect() and torch.cuda.empty_cache() but neither worked.
03.08.2020 · 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. when using without cuda, notebook freezes on …
Aug 18, 2020 · Tried to allocate 2.00 MiB (GPU 0; 10.76 GiB total capacity; 9.68 GiB already allocated; 4.25 MiB free; 9.77 GiB reserved in total by PyTorch) The text was updated successfully, but these errors were encountered:
16.05.2019 · 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.
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 hours trying to …
12.12.2019 · Tried to allocate 754.00 MiB (GPU 0; 2.00 GiB total capacity; 1.21 GiB already allocated; 144.74 MiB free; 10.06 MiB cached)" I don't really know what is going there, and I have few questions about that. My Laptop specs: intel i3 …
Aug 03, 2020 · 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. when using without cuda, notebook freezes on running both locally and in colab.