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45 × Eureka!I went into app.clear.ml dashboard -> project -> archived experiments -> and i wanted to delete experiment from there -> that is the output i got
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...
Thanks ! That is exactly what I meant 🙂
Have a nice day!
Insight 2 <- repository is cloned correctly but the uncomitted changes are not.
Hi @<1523701070390366208:profile|CostlyOstrich36> , the worker cloned the repo correctly, however in the nested scipt if you use task.init
it wont work / wont overwrite anything.
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:
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
i can try , any guide online ? or is it totaly easy
Ok I will try this feature and let you know if I will see any problems. Thank you ! 🙂
So, I just just define all the requirements for the docker in clearml.conf
in default_docker
part?
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.
Probably i figured out everything. For me it is better to work with https and token (for git).
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()
isnt brew for mac ? i am on ubuntu
For future you can put in requirements.txt :detectron @
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
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'
To describe the use-case. Lets say we have someapp which can export specific training script. I would like to create this as a specific "draft" task and later execute it.
reinstalling realy solved the problem , thank you. Have a very nice day.
I just set up my server from following url : https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_linux_mac/
OPENBLAS="$(brew --prefix openblas)" pip install pandas
Is the solution simply to change the binary_path in config and restart the worker or just use docker mode ? Cant i just forward this path ?
Anyways no histogram / table is reported in dashboard however in tutorial video @ https://www.youtube.com/watch?v=quSGXvuK1IM it is.
Hello ExasperatedCrab78 ! I tried to add the PR. I hope it will be sufficient and clear. Have a nice day and thanks for help ! :)