Hi TimelyPenguin76 , any chance this was fixed? 🙂

Yes, I switched to that, thanks!

Hi SuccessfulKoala55 , How can I now if I log in in this free access mode? I assume it is since in the login page I only see login field, not password field

Ok to be fair I get the same curve even when I remove clearml from the snippet, not sure why

Super! I’ll give it a try and keep you updated here, thanks a lot for your efforts 🙏

Thanks for your inputs, I will try that! For completion, here is how I retrieve the parameters:
` from trains import Task

task = Task.init("test", "test")
parent_task = Task.get_task(task.parent)
task.get_logger().report_text(task.get_parameters())
artifact_name = task.get_parameter("General/artifact_name")
artifact = parent_task.artifacts[artifact_name].get() `

I am using an old version of the aws autoscaler, so the instance has the following user data executed:
echo "{clearml_conf}" >>/root/clearml.conf ... python -m clearml_agent --config-file '/root/clearml.conf' daemon --detached --queue '{queue}' --docker --cpu-only

So it seems like it doesn't copy /root/clearml.conf and it doesn't pass the environment variables (CLEARML_API_HOST, CLEARML_API_ACCESS_KEY, CLEARML_API_SECRET_KEY)

it still works

Although task.data.last_iteration  is correct when resuming, there is still this doubling effect when logging metrics after resuming 😞

Thanks SuccessfulKoala55 ! So CLEARML_NO_DEFAULT_SERVER=1 by default, right?

Yes I am 🙂

super, thanks SuccessfulKoala55 !

AgitatedDove14 I eventually found a different way of achieving what I needed

yes

That would be amazing!

Hi DeterminedCrab71 Version: 1.1.1-135 • 1.1.1 • 2.14

clearml 1.1.1 works

I am already trying with latest of pip 😞

Nice! What is the default value?

This is not the case, I downloaded it and I got a cuda error at runtime

The task object

under /opt/clearml/config/apiserver.conf

btw task._get_task_property('hyperparams') also gives me ValueError: Task has no hyperparams section defined

ok, now I actually remember why I used _update_requirements instead of add_requirements: The first overwrites all the other, the later only add to the already detected packages. Since my deps are listed in the dependencies of my setup.py, I don't want clearml to list the dependencies of the current environment

But clearml does read from env vars as well right? It’s not just delegating resolution to the aws cli, so it should be possible to specify the region to use for the logger, right?

thats very cool!!

Yes that’s correct - the weird thing is that the error shows the right detected region

no, simple GET