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212 × Eureka!do I have to fetch it via code? I was hoping to not modify my scripts
This would be a short term solution as we build a proof of concept
I assumed I would need to upload it and then reference it somehow?
curl --insecure -sw %{http_code} ` -o /dev/null │
│ init-k8s-glue waiting for apiserver ...
These are the logs from the fileserver pod
the worker is now in the dashboard
yep that fixed it using references like clearml-webserver.clearml.svc.cluster.local:80
I verified in the pod yaml it is set correctly
When I exec into the pod, it says I need sudo, but wondering if extra_docker_shell_script is executed as sudo already?
Per my question above, what is the base path where the git repo is cloned?
For instance, quotes are used
well I did something on my end, its magically working now
I don't see any requests
Do you want me to PR that fix?
Hey triggering the tasks from the CLI resolved the python pathing issues!
it uses the default of epoch
So in summary: subprocess calls appear to break clearML tracking, even if I do Task.init() in both main.py and train.py. However the script does run end to end successfully. If I remove the subprocess calls, I only need Task.init() in main.py for everything to work (scalars, reporting, etc).
SuccessfulKoala55 It looks like it should eval to True?
maybe a cors issue?
I got the EFS volume mounted. Curious what advantage it would be to use the StorageManager
I can see this log message in the nginx controller"GET / HTTP/1.1" 405 178 "-" "curl/7.79.1" 95 0.003 [clearml-clearml-fileserver-8081] [] 10.36.1.61:8081 178 0.004 405 b4f5caf7665ffa1e8823a195ae41ec26
However, the template does not render https://github.com/allegroai/clearml-helm-charts/blob/main/charts/clearml/templates/configmap-apiserver.yaml#L1