This works great, thanks AgitatedDove14 👍

thanks, so I got clearml-task working, sent to a queue and the agent on gcp picked it up. I had a question — for a job that runs on the order of minutes, it’s not worth re-creating the whole python virtual env from scratch on the remote (that itself takes 5mins). So is the --folder ` option meant for running it in an existing folder in an existing virtual env?

I have been using 1.6.2

I see, so there’s no way to launch a variant of my last run (with say some config/code tweaks) via CLI, and have it re-use the cached venv?

(and a way to specify which remote server)

it finally finished no worries

CLI doesn’t care about the state of my git repo right?

Dataset.get works fine from python script, it pulls in the data into cache. Just the cli seems broken

created a new dataset 5GB, no update since 20 mins, is that normal?

Great, and this would show up in the description column in the dashboard ?

didn’t help

Actually that did not help. Still same behavior

Thanks, I guess I need to have a bucket under Cloud Storage?