Udbhav Ram
hi @KumoLiu just following up on this, are there any other similar issues I could reference to trouble shoot? thanks!
hi Kumo, #1089 worked for me to get training going, and like I mentioned in that issue, the same fixes (i.e. setting the spacing in swinunetr to 1.5, 1.5, 1.5),...
Thanks @KumoLiu! I'll give it a go!
hi @KumoLiu is there anywhere for me to see which model performed best during training? so I can run inference using that model, I notice that every fold for every...
Hi @KumoLiu , thanks for the info, so I guess I'm a bit stuck until this ensembling issue is figured out, is there anything else, debugging or log wise, that...
Hi @KumoLiu Thanks for the resources, does this integrate into the Auto3dseg pipeline in any way? Is there any ways to point the ensembler at the files generated by auto3dseg?...
sure, I'll give the over ride a try, do you have any ideas on how to run ensembling with less gpu usage, similar to the fix during validation for #1089...
Hi @KumoLiu, just following up on this issue!
@mingxin-zheng here's the output form lscpu, I will try the python API and explicitly set the num_workers lower to see if that helps, thanks for the suggestion Architecture: x86_64 CPU...
Hi @mingxin-zheng, following up on this, changed the directory location, cleared it out completely, no luck. Is it normal that the GPU activity is so low when the model training...