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212 × Eureka!You guys are the maintainers of this repo
Yes! Thanks so much for the quick turnaround
I dont know how to do that
When I run from sfi.imagery import models. It works fine local. So the repo is setup for proper imports. But fails in clearML tasks
You could change infrastructure or hosting, and now your data is associated with the wrong URL
Could I simply just reference the files by name and pass in a string such as ~/.clearml/my_file.json
However, the template does not render https://github.com/allegroai/clearml-helm-charts/blob/main/charts/clearml/templates/configmap-apiserver.yaml#L1
SuccessfulKoala55 It looks like it should eval to True?
"title": "Unusual outbound communication seen from EC2 instance i-<> on server port 80.",
perhaps I need to use localhost
for example, if my github repo is project.git and my structure is project/utils/tool.py
so it caches to ~/.clearml/ any files that are under the same project name?
AgitatedDove14 How do I setup a master task to do all the reporting?
I don't know how to get past this? My k8 pods shouldn't need to reach out to the public file server URL.
Traceback (most recent call last): File "sfi/imagery/models/training/ldc_train_end_to_end.py", line 26, in <module> from sfi.imagery.models.chip_classifier.eval import eval_chip_classifier ModuleNotFoundError: No module named 'sfi.imagery.models'
` SysPath: ['/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/sfi/imagery/models/training', '/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/sfi', '/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py', '/usr/lib64/python37.zip', '/usr/lib64/python3.7', '/usr/lib64/python3.7/lib-dynload', '/home/npuser/.clearml/venvs-builds/3.7/lib64/python3.7/site-packages', '/home/npuser/.clearml/venvs-builds/3.7/l...
I think if I use the local service URL this problem is fixed
It seems like https://github.com/allegroai/clearml-helm-charts/blob/main/charts/clearml-agent/values.yaml#L72-L80 doesn't actually do anything as the values set here aren't applied in the agent template
` PYTHONPATH: /home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/sfi:/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py:/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/sfi/imagery/models/training::/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/sfi:/usr/lib64/python37.zip:/usr/lib64/python3.7:/usr/lib64/python3.7/lib-dynload:/home/npuser/.clearml/venvs-builds/3.7/lib6...
I don't see any requests
So this is an additional config file with enterprise? Is this new config file deployable via helm charts?
SuccessfulKoala55 Darn, so I can only scale vertically?
After proving we can run our training, I would then advise we update our code base
I got the EFS volume mounted. Curious what advantage it would be to use the StorageManager