DoveG
DoveG
One possible solution to the OutOfMemoryError is to edit the parameters of "bs". It's in your startup shell: `--bs 8 --eval_bs 4` bs means "batch size", replacing it with a...
Based on the information you provided, the path is incorrect, maybe you can change the path in your *.sh file like this: `--eval_le models/rationale/predictions_ans_eval.json` However, the **real path** depends on...
> > Based on the information you provided, the path is incorrect, maybe you can change the path in your *.sh file like this: > > `--eval_le models/rationale/predictions_ans_eval.json` > >...
1. How to start the application on windows. The repository only provides bash to start the application, so I write bat to do that and it seems to work. This's...
2. CUDA out of memory. This is a very resource-intensive task, and my GPU doesn't seem capable of doing it. However, when I modify the parameter "bs" to a smaller...
3. Server jammed The model run out of the RAM of PC, and it get stuck. I have experienced long waits when the computer was on the verge of crashing....
> > 3. CUDA out of memory. > > Same problem. @bourneo could you provide your gpu memory spec? 6G VRAM. It may be helpful to set the batch size...
> You can also set the parameter eval_acc to a lower value to dump the accumulated results from the GPU to the RAM more often. Obviously, this needs a lot...
> > > You can also set the parameter eval_acc to a lower value to dump the accumulated results from the GPU to the RAM more often. Obviously, this needs...
Maybe you should set an environment variable "ARGOS_DEVICE_TYPE" in your operation system. Take windows for example:  More details are in this issue: #210 By the way, cuda must be...