ResponsiveHedgehong88 , what about using tags? You can tag experiments and this way you can easily tell them apart
CostlyOstrich36 no, the code is always running remotely. I use two ways to start an experiment. The first is using clearml-task interface https://github.com/allegroai/clearml/blob/master/docs/clearml-task.md where I define which script to run from a repo + branch, and also define a queue (remote worker) for where to run the experiment. The second way is by manually clicking Clone in the API dashboard (then modifying some params in configuration objects) then setting Enqueue to the same remote worker.
ResponsiveHedgehong88 , please look here:
https://clearml.slack.com/archives/CTK20V944/p1660142477652039
Is this what you're looking for?
CostlyOstrich36 hi, thanks for the answer. Unfortunately, both my CLI run experiment (using clearml-task ) and the one cloned from this have the same setup in the INFO/worker and INFO/queue. I do set the queue as one of the clearml-task arguments.
ResponsiveHedgehong88 hi,
The best indication would be in the 'INFO' section of the experiment. If it was run via CLI it should have N/A in the worker/queue section