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Question When Using Remote Storage Blobs (E.G. Azure). I Am Using It As A Output_Url Location, And It Is Storing Both Datasets, And Also Experiment Artefacts, Mostly Cnn Weights Files (Pytorch Pt Files).

Question when using remote storage blobs (e.g. Azure).

I am using it as a output_url location, and it is storing both datasets, and also experiment artefacts, mostly CNN weights files (PyTorch PT files).

I note that when I archive and delete an experiment that has associated PT files on the azure blob, I get a warning saying these files were not deleted. Is there a special flag or setup I need enable to make sure that storage locations are cleaned up when experiments are deleted?

Posted 2 years ago
Votes Newest


Hi VivaciousPenguin66 , since the storage credentials reside in the client side, the server cannot clean up this storage when deleting experiments. As Azure Blobs are not yet supported by the WebApp while deleting, you can do that by deleting experiments via code, using the Task.delete() function call

Posted 2 years ago
1 Answer
2 years ago
10 months ago