Maybe SuccessfulKoala55 has more insight.
Hi @<1575294289515122688:profile|JoyousMole49> , it looks like you are over your usage quota. Check in the settings page to see your uages
By the way, I don't suggest ever using the _ex suffix on any of the apicalls you see in UI, it's reserved for UI and can cause unintended results in automations
I am not familiar with that. In the SDK you have the StorageManager to help you with downloading files.
None
Did you try what I added? Also the screenshot is too small, nothing is readable
ExasperatedCrocodile76 , did you run the original experiment on linux machine with pip and the remote machine is linux with conda package manager?
Hi PreciousParrot26 ,
Why are you running from gitlab runner - Are you interested in specific action triggers?
Hi @<1691258549901987840:profile|PoisedDove36> , not sure I understand. Can you please elaborate with screenshots maybe?
Hi ReassuredOwl55 , can you please elaborate on your use case or exactly what you're trying to achieve?
Hi @<1760474471606521856:profile|UptightMoth89> , I'm not sure that Task.get_task is related to the cache. Also the cache should be auto cleared by the SDK. Can you provide the full log of the experiment? What exactly are you trying to do in the code?
Hi @<1743079866477056000:profile|ItchySeahorse7> , there is no such capability currently but it sounds like a good idea, maybe open a GitHub feature request for it?
o, if I pull this file from s3 bucket, I can conclude which chunk I should download to get a specific file. Am I wrong?
I think you're right. Although I'm not sure if you can decompress individual chunks - worth giving it a try!
I also though clearML writes this mapping (
state.json
) into one of its databases: Mongo, Redis, Elasticsearch.
I think the state.json is saved like an artifact so the contents aren't really exposed into one of the dbs
I see. Leave the files_server section as it was by default. Then in the CLI specify the --output-uri flag
None
Hi @<1793451774179282944:profile|TestyMouse38> , you can also use the community server - app.clear.ml
You need to follow the instructions here - None
On what OS are you on?
Regarding your question - I can't recall for sure. I think it still creates a virtualenv
Hi @<1544853695869489152:profile|NonchalantOx99> , I think this is the environment variable you're looking for - CLEARML_AGENT_FORCE_SYSTEM_SITE_PACKAGES
None
You can also use agent.package_manager.system_site_packages: true in your clearml.conf
Hi @<1815919815257231360:profile|UpsetFrog68> , what if you move the _create_dataset function into create_dataset , does the issue still reproduce? Also, can you try setting the parents explicitly?
You have the open source repository of the documents - None
I think you could generate a pdf from that with some code.
Can you try running it native on windows?
You also have onboarding videos there, I suggest you review all videos.
I think it is supported only through the API 🙂
Logs shows me that key is mounted to the docker container
How are you mounting the credentials?
What version of ClearML-Agent are you using?
BoredPigeon26 , Please try the following setting in your ~/clearml.confsdk.metrics.tensorboard_single_series_per_graph: true and see if it helps 🙂
from src.net import Classifier
ModuleNotFoundError: No module named 'src'
Hi @<1718799873618219008:profile|FunnyPeacock68> , you can set this up in clearml.conf of the running agent
None