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Hi, Part Of The Ml Pipeline I'M Working On Temporarily Stores Intermediate Features Using

Hi, part of the ML pipeline I'm working on temporarily stores intermediate features using torch.save . ClearML detects it and automatically uploads to my remote storage, however, I only want my model checkpoints to be uploaded there. Is there a way to individually disable this upload, without overriding the upload of my model checkpoints (via torch.save as well)?

Posted one year ago
Votes Newest

Answers 3

OK, there appears to be a github issue relating this:
I was right regarding encountering this before. People have asked for this feature and I think it appears to be a priority to add as a feature.

You can circumvent auto logging with the following:
task = Task.init(..., auto_connect_frameworks={'pytorch': False})However you will need to log other models manually now. More information is in the github issue 🙂

Posted one year ago

I think I've encountered something related to this. Let me take a look at the docs

Posted one year ago

Aight gotcha. Thanks a lot!

Posted one year ago
3 Answers
one year ago
4 months ago