SmugDolphin23 so I ran that above like
` task = Task.init(project_name=project, task_name='data_upload')
task.set_base_docker(
docker_image="nvidia/cuda:10.2-cudnn7-runtime-ubuntu18.04",
docker_arguments=docker_args,
)

task.execute_remotely(queue) `and it works good, except there still does not seem to be autologging or even capturing print statements on the remote execution

got it ya that makes sense. I was using .init which worked great but
needed to be able to pass docker_args into the container running the task. Only way I saw that possible was with .create would like to execute it remotely would like the auto logs

so curious if this is just a me misuderstanding and not using the .init/.create properly?

so that it takes the auto logging but still able to run the with the previous specifications

ShinyPuppy47 Try this: use task = Task.init(...) (no create ) then call task.set_base_docker

Hi ShinyPuppy47 ,
Yes that is correct. Use Task.init for automagic logging

got it will try

any ideas?

Hi SoggyHamster83 ! Any reason you can't use Task.init?

been using this https://clearml.slack.com/archives/CTK20V944/p1671207870939899?thread_ts=1671206153.300929&cid=CTK20V944

Facing similar issue
I need to use task.create but auto_connect_framworks= False
how can I do it?

unsure ya, I mean when I run the task logs do not get outputted into the clearml platform

ShinyPuppy47 do you have a small example we could take a look at?

ShinyPuppy47 the code that is being launched, does it call task.init?

Are you sure you passed add_task_init_call=True to task create?

So this should work, what is missing?

no longer using the create.

hm SmugDolphin23 so I added this into the Task but I still do not get auto logging for a pytorch training task

got it sweet, so I need to use Task.create to run on custom containers... so would the workaround here running Task.create and then running Task.init(continue_last_task=task.id) ?

Basically you should not use Task.create to log the current execution. It is used to create a Task externally and then enqueue it for remote execution. Make sense?

ShinyPuppy47 does add_task_init_call help your case? https://clear.ml/docs/latest/docs/references/sdk/task/#taskcreate

but now I am just getting into weird situations were it seems like .create has the docker stuff I need but not logs and .init has the logs but not docker