no and no

The clearml-server is running on a remote machine and I do port-forwarding via ssh to localhost to access the web interface. Not sure if this is the cause

around 100-200

I added more information here https://github.com/allegroai/clearml/issues/697

1.3.2 as client

Hey SweetBadger76
By using Task.create and specifying the path to the script clearML is able to collect all the source information, however the experiment then is a draft and does not upload anything

Yeah, but I still need to update the links in the clearml server

Like the relations between the datasets. If I have dataset A as a child of B and B is a child of C I would like to have some textual/visual output like

C<-B<-A

Thanks SweetBadger76 🙂

For anyone else struggling with this:
Shell into the mongo container and run
db.task.find({ "project": "<PROJECT_ID>" }, { "execution.artifacts.$": 1 }).forEach(function (doc) { Object.keys(doc.execution.artifacts).forEach(function (k) { doc.execution.artifacts[k].uri = doc.execution.artifacts[k].uri.replace("old_host", "new_host"); db.task.updateOne({ _id: doc._id }, { $set: { execution: doc.execution } }) }) });

Yes, I am using a self-hosted server.

So we ran some experiments(tasks) and uploaded the artifacts to local storage. We want to move them to a s3 storage

Furthermore we want to move existing datasets on one s3 server to another s3 server

That’s not as straightfoward as it might seem.. the clearml client lib handles artifacts as read only dict. I am not taking a look at changing the values directly in mongodb

ah nice, thanks a lot 🙂