but then why do I have to do task.connect_configuration(read_yaml(conf_path))._to_dict() ?
Why not task.connect_configuration(read_yaml(conf_path)) simply?
I mean what is the benefit of returning ProxyDictPostWrite instead of a dict?

select multiple lines still works, you need to shift + click on the checkbox

DeterminedCrab71 Please check this screen recording

So I suppose clearml-agent is not responsible, because it finds a wheel for torch 1.11.0 with cu117. It just happens that this wheel doesn't work in ec2 g5 instances suprizingly. Either I'll hardcode the correct wheel or I'll upgrade torch to 1.13.0

Doing it the other way around works:
` cfg = OmegaConf.create(read_yaml(conf_yaml_path))
config = task.connect(cfg)
type(config)

<class 'omegaconf.dictconfig.DictConfig'> `

awesome thanks!

For some reason the configuration object gets updated at runtime to
resource_configurations = null queues = null extra_trains_conf = "" extra_vm_bash_script = ""

UnevenDolphin73 , task = clearml.Task.get_task(clearml.config.get_remote_task_id()) worked, thanks

Thanks for the hint, I’ll check the paid version, but I’d like first to understand how much efforts it would be to fix the current situation by myself 🙂

I have a custom way of reading the config file

Ok AgitatedDove14 SuccessfulKoala55 I made some progress in my investigation:
I can exactly pinpoint the change that introduced the bug, it is the one changing the endpoint "events.get_task_log", min_version="2.9"
In the firefox console > Network, I can edit an events.get_task_log and change the URL from …/api/v2.9/events.get_task_log to …/api/v2.8/events.get_task_log (to use the endpoint "events.get_task_log", min_version="1.7" ) and then all the logs are ...

So it can be that when restarting the docker-compose, it used another volume, hence the loss of data

The task object

and this works. However, without the trick from UnevenDolphin73 , the following won’t work (return None):
if __name__ == "__main__": task = Task.current_task() task.connect(config) run() from clearml import Task Task.init()

erf, I have the same problem with ProxyDictPreWrite 😄 What is the use case of this one ?

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

might be worth documenting 😄

The rest of the configuration is set with env variables

I am happy if I can be of any help to fix that 😄

Ok, I won't have time to venture to check the different database components, the first option (shuting down the server) sounds like the easiest option for me, I would then run manually the script once a month or so

in my clearml.conf, I only have:
sdk.aws.s3.region = eu-central-1 sdk.aws.s3.use_credentials_chain = true agent.package_manager.pip_version = "==20.2.3"

I see 3 agents in the "Workers" tab

Yes, I will try 🙂

Some context: I am trying to log an HTML file and I would like it to be easily accessible for preview

continue_last_task is almost what I want, the only problem with it is that it will start the task even if the task is completed

Yes this is correct. I am trying to create a minimal reproducable example

As to why: This is part of the piping that I described in a previous message: Task B requires an artifact from task A, so I pass the name of the artifact as a parameter of task B, so that B knows what artifact from A it should retrieve

Thanks! Unfortunately still not working, here is the log file:

I would like to try it to see if it solves some dependencies not found eventhough they are installed when using --system-site-packages

sure, will be happy to debug that 🙂

I also don't understand what you mean by unless the domain is different... The same way ssh keys are global, I would have expected the git creds to be used for any git operation