I am looking for a way to gracefully stop the task (clean up artifacts, shutdown backend service) on the agent

I tested by installing flask in the default env -> which was installed in the ~/.local/lib/python3.6/site-packages folder. Then I created a venv with flag --system-site-packages . I activated the venv and flask was indeed available

Could you please share the stacktrace?

I was able to fix by applying for a license and registering it

Oof now I cannot start the second controller in the services queue on the same second machine, it fails with
` Processing /tmp/build/80754af9/cffi_1605538068321/work
ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: '/tmp/build/80754af9/cffi_1605538068321/work'
clearml_agent: ERROR: Could not install task requirements!
Command '['/home/machine/.clearml/venvs-builds.1.3/3.6/bin/python', '-m', 'pip', '--disable-pip-version-check', 'install', '-r'...

Thanks, I will create an issue. I am fine with both ways :)

Which commit corresponds to RC version? So far we tested with latest commit on master (9a7850b23d2b0e1f2098ab051de58ce806143fff)

I also would like to avoid any copy of these artifacts on s3 (to avoid double costs, since some folders might be big)

should I try to roll back to clearml-server 1.0.2? I am very anxious now…

Alright SuccessfulKoala55 I was able to make it work by downgrading clearml-agent to 0.17.2

AgitatedDove14 yes but I don't see in the docs how to attach it to the logger of the earlystopping handler

AgitatedDove14 Is it possible to shut down the server while an experiment is running? I would like to resize the volume and then restart it (should take ~10 mins)

I guess I’ll get used to it 😄

Nice, thanks!

The file  /tmp/.clearml_agent_out.j7wo7ltp.txt   does not exist

might be worth documenting 😄

Will it freeze/crash/break/stop the ongoing experiments?

AgitatedDove14 I am actually considering rolling back to 1.1.0, so 1.3.0 is not really an option for now

yes what happens in the case of the installation with pip wheels files?

When installed with http://get.docker.com , it works

as it's also based on pytorch-ignite!

I am not sure to understand, what is the link with pytorch-ignite?

We're in the brainstorming phase of what are the best approaches to integrate, we might pick your brain later on

Awesome, I'd be happy to help!

AnxiousSeal95 Any update on this topic? I am very excited to see where this can go 🤩

Yes, not sure it is connected either actually - To make it work, I had to disable both venv caching and set use_system_packages to off, so that it reinstalls the full env. I remember that we discussed this problem already but I don't remember what was the outcome, I never was able to make it update the private dependencies based on the version. But this is most likely a problem from pip that is not clever enough to parse the tag as a semantic version and check whether the installed package ma...

torch==1.7.1 git+ .

Is it because I did not specify --gpu 0 that the agent, by default pulls one experiment per available GPU?

Ho nice, thanks for pointing this out!

5,6 mins exactly

Thanks AgitatedDove14 ! I created a project with a default output destination to a s3 bucket but I don't have local access to this bucket (only agents have access to it for security reasons). Because of that, I cannot create a task in this project programmatically locally because it tries to access the bucket and fails. And there is no easy way to change the default output location (not in the web UI, not in the sdk)

yes exactly

/data/shared/miniconda3/bin/python /data/shared/miniconda3/bin/clearml-agent daemon --services-mode --detached --queue services --create-queue --docker ubuntu:18.04 --cpu-only