Hi! I'M Running Both Training And Inference Using Aws Sagemaker Pipelines, And I Want To Track Experiment Runs Using Clearml. I Was Able To Integrate Clearml At Runtime (Task.Set_Credentials And Task.Init()), And I Was Able To Track Metrics, Artifacts, E

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Hi!
I'm running both training and inference using AWS SageMaker pipelines, and I want to track experiment runs using ClearML.

I was able to integrate ClearML at runtime (Task.set_credentials and Task.init()), and I was able to track metrics, artifacts, etc.
However, because it's running inside a Docker container, Git is detached.

The workaround I did was cloning the repo at runtime to get commitId, repoName, branchName, etc., but that created an overhead.

I was wondering if there is a better way.

Thanks!

  				
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	3 months ago

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					PerplexedShells66
				
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Hi @<1835488771542355968:profile|PerplexedShells66> , I think this is what you're looking for 🙂
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	3 months ago

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					CostlyOstrich36
				
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Thanks, @<1523701070390366208:profile|CostlyOstrich36> !

Currently, I'm using Task.set_script

In both cases, I need to clone the repo, and I'm trying to avoid that.

I'm looking for an automated way to detect repo, branch, and commit it

  				
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	3 months ago

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					PerplexedShells66
				
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You can simply run the script from inside the repo once, you can also use execute_remotely to avoid actually running the entire thing

  				
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	3 months ago

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					CostlyOstrich36
				
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