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11 × Eureka!Wow, astonishingly fast 🙂
Ok, I'll check my case and leave feedback
is there a way for pytorch lightning not to rename the model?
I think no, since pytorch-lightning ensures atomarity of save operation by this logic.
I think the best solution is for Trains to create a copy of the file and upload it in the background
Yes, sounds good.
Yeah, I'll open an issue on Trains Github
If I follow the pre-built docker image option, what are the correct configurations?
Also, can the image not be pulled from dockerhub but used from the local build instead?
Thanks AgitatedDove14 !
Is there a way to programmatically set the base docker image and extra docker arguments for enqueued tasks? I'm afraid I have no access to trains.conf
, and manually editing enqueued experiments in the web UI is not an option.