GrievingTurkey78 , it appears to be bad methodology on my side as disconnecting the framework won't log any scalars etc...

I think a better solution would be to set the log level to something else, however you will not see 'INFO' messages from the module.

Try something like this:
logging.getLogger('clearml.model').setLevel(logging.WARNING)
This will only show you the warnings regarding the models module.

GrievingTurkey78 , you can try using the following example:
task.init( auto_connect_frameworks={ '<FRAMEWORK>': False }, ... )
Docs: https://clear.ml/docs/latest/docs/references/sdk/task#taskinit
However please note this will not auto save the final model and you will need to add the model upload at specific points in the script when you want to upload the script.

Am I understanding correctly this is what you want?

Hi CostlyOstrich36 ! The message is the following:
clearml.model - INFO - Selected model id: 27c1a1700b0b4e25a4344dc4ef9868faThey are not models, those are intermediate tensors I am caching to make training faster. I don't need to log them.

GrievingTurkey78 , Hi!

Can you please provide the message that is given to you? Also, are you saving those files as some sort of models you want logged in the system or you don't need them?

Thanks! This should work perfectly 👌

So I would have to disconnect pytorch? And then upload the model at the end