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Is There A Way To Save The Models Completely On The Clearml Server? It Seems That Clearml Server Does Not Store The Models Or Artifacts Itself, But They Are Stored Somewhere Else (E.G., Aws S3-Bucket) Or On My Local Machine And Clearml Server Is Only Sto

Is there a way to save the models completely on the ClearML server?

It seems that ClearML Server does not store the models or artifacts itself, but they are stored somewhere else (e.g., AWS S3-bucket) or on my local machine and ClearML Server is only storing configuration parameters and previews (e.g., when the artifact is a pandas dataframe). Is that right?

  
  
Posted 2 years ago
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Answers 45


@<1523701087100473344:profile|SuccessfulKoala55> : That is the link I posted as well. But this should be mentioned also at places where it is about about the external or non-external storage. Also it should be mentioned everywhere we talk about models or artifacts etc. Not necessarily in details, but at least with a sentence and a link.

  
  
Posted 2 years ago

Exactly 🙂

  
  
Posted 2 years ago

But, I guess @<1523701070390366208:profile|CostlyOstrich36> wrote that in a different chat, right?

  
  
Posted 2 years ago

Unbelievable! That worked.

  
  
Posted 2 years ago

Hi all, sorry for not being so responsive today 🙏

  
  
Posted 2 years ago

@<1523701083040387072:profile|UnevenDolphin73> : How do you figure? In the past, my colleagues and I just shared the .zip file via email / MS Teams and it worked. So I don't think so.

  
  
Posted 2 years ago

@<1523701083040387072:profile|UnevenDolphin73> : I see. I did not make the connection that output_uri=True is what I was missing. I thought this was the default. But the default is actually "None", which is different than "True".

  
  
Posted 2 years ago

Well you could start by setting the output_uri to True in Task.init .

  
  
Posted 2 years ago

The documentation is messy, I’ve complained about it the in the past too 🙈

  
  
Posted 2 years ago

We'll try to add referenced to that in other places as well 👍

  
  
Posted 2 years ago

We have the following, works fine (we also use internal zip packaging for our models):

model = OutputModel(task=self.task, name=self.job_name, tags=kwargs.get('tags', self.task.get_tags()), framework=framework)
model.connect(task=self.task, name=self.job_name)
model.update_weights(weights_filename=cc_model.save())
  
  
Posted 2 years ago

@<1523701083040387072:profile|UnevenDolphin73>

  
  
Posted 2 years ago

@<1523701083040387072:profile|UnevenDolphin73> : I do not see any way to download the model manually from the web app either. All I see is the link to the file on my harddrive (see shreenshot).

The second process says there is not file at all. I think, all that happened is that the update_weights only uploaded the location of the .zip file (which we denote as a .model file) on my harddrive, but not the file itself.
image

  
  
Posted 2 years ago

Hi @<1523704157695905792:profile|VivaciousBadger56> , you can configure Task.init(..., output_uri=True) and this will save the models to the clearml file server

  
  
Posted 2 years ago

@<1523704157695905792:profile|VivaciousBadger56> I'm not sure I'm following you - is the issue not being able to upload to the ClearML server or to load the downloaded file?

  
  
Posted 2 years ago
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