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Hi, Trying To Understand Clearml-Session.
I Have An Agent Running On A Machine Monitoring A Queue
Then I Ran Clearml-Session --Queue Myqueu --Docker Torch-Image.
The Clearml Session Ended Up Tunneling Into The Physical Machine That My Agent Is Running
Hi SubstantialElk6
The ClearML session ended up tunneling into the physical machine that my agent is running on,
Yes that is the correct behavior. basically the clearml-session is using the agent to "schedule" a machine, then spin a container with JupyterLab/VSCode , and finally connect your CLI directly with that machine.
You can think of it as a way to solve the resource allocation problem.
Make sense ?
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