where did you put this

command i run:
learml-agent daemon --queue default --foreground
response i get:
clearml_agent: ERROR: create.<locals>.Validator.__init__() got an unexpected keyword argument 'types'

clearml agent version: 1.3.0

i can try , any guide online ? or is it totaly easy

http://dl.fbaipublicfiles.com/detectron2/wheels/cu113/torch1.10/detectron2-0.6%2Bcu113-cp39-cp39-linux_x86_64.whl why this doesnt work then ?

So, I just just define all the requirements for the docker in clearml.conf in default_docker part?

Ok I will try this feature and let you know if I will see any problems. Thank you ! 🙂

I'm at the point where it looks like the clearml-agent is stuck (How i execute the agent: clearml-agent daemon --queue "default" --gpus 0 --foreground --docker. After the last message: " Successfully installed:<dependencies>" nothing really happens. I do attach logs from experiment. And I also do provide the config:

Here are the logs.

I can see the docker in docker ps but it seems like it never gets to code execution. I do not have an idea where it got from. Seems like somewhere it gets "pip" + "pip".

So probably you are right - > nc -vz localhost 8080
Output when run locally not in docker: Connection to localhost (127.0.0.1) 8080 port [tcp/http-alt] succeeded!
Output when inside docker bash: localhost [127.0.0.1] 8080 (http-alt) : Connection refused

Yes api server is on the same machine -> running in container
web_server: http://localhost:8080
api_server: http://localhost:8008
files_server: http://localhost:8081

RE: When people do not install the server on the same machine, how is it possible for them then ? I cant reach apiserver / clearml-apiserver.
After new installation of clearml-agent and clearml I still do have the same problem.

Example: I have a simple python script and defined default_docker in clearml.config. When i clone this experiment and run it from clearml dashboard my clearml-agent running in docker mode should execute this task in docker. However, it is stucked after dependencies in...

Hello ! I would like to just skip whole clearML process (e.g. someone do not wants to log everything for this time). The problem I have is that if you do not provide task name and project name <- it should skip clearml process. However, when the task is cloned also project name and task name are whole Task is None before task init. I am asking if there is any way to know we are running a clone before task.init after we call task = Task.current_task()

Do I have to do some port forwarding / add extra parameters ? Copy clearml.conf inside of the docker ? And all the stuff ? Because it does not seems to be done automatically.