Regarding the agent - No particular reason. Can you point me on how to do it?
This is a good place to start
https://clear.ml/docs/latest/docs/getting_started/mlops/mlops_first_steps
We need the automagic...
This is one of the great benefits of using clearml
😄
Sure, try this one:Task.debug_simulate_remote_task('reused_task_id') task = Task.init(...)Notice it will take the arguments form the cleaml-task itself (e.g. override argparse arguments with what you have on the reused Task). Would that help?
We need the automagic... 🙂
This is one of the great benefits of using clearml 🙂
AgitatedDove14 Regarding the agent - No particular reason. Can you point me on how to do it?
Thanks for the quick reply,
I have a task I run, that have access to the git repo.
Then it initiate a run on aws, which I want it to use the same task-id.
I tried:reuse_last_task_id=a_task_id_stringBut it write-over the execution tab in the gui
AgitatedDove14 Thanks again.
I'm not using a clearml-agent as far as I know (I just run task.init(...) on the AWS machine.
Is there a way to connect to the task without initiating a new one without overriding the execution?
Is there a way to connect to the task without initiating a new one without overriding the execution?
You can, but not with automagic, you can manually send metrics/logs...
Does that help? or do we need the automagic?
Then it initiate a run on aws, which I want it to use the same task-id.
BoredPigeon26 Clone the Task, it basically creates a new copy (of the setup/configuration etc.)/
Then you can launch it on an aws instance (I'm assuming with clearml-agent)
wdyt?
But it write-over the execution tab in the gui
It does you are correct, it will however Not overwrite the reports (log scalars etc)
Hi BoredPigeon26
what do you mean by "reuse the task" ? is this manual execution (i.e. from code)?
How about archiving the old version?
You can also force Task.init to always create a new Task (which preserves the previous run alongside the execution tab)
Basically what's the specific use case ?