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45 × Eureka!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.
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
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:
isnt brew for mac ? i am on ubuntu
Thanks for help ! I will try and let you know.
reinstalling realy solved the problem , thank you. Have a very nice day.
Probably i figured out everything. For me it is better to work with https and token (for git).
For future you can put in requirements.txt :detectron @
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 ?
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...
but for the local execution virtual env (conda) named detectron2 was used
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.
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".
i can try , any guide online ? or is it totaly easy
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'
Hi ExasperatedCrab78 ,
am I getting it right that alias = dataset id which can be found in the clearml dashboard?
I also tried the changed url (github) you sent. I can successfully run all the scripts, but I do not see any results from log_dataset_statistics
. Maybe I am wrong but in the https://github.com/allegroai/clearml-blogs/blob/master/urbansounds8k/preprocessing.py this function is not even called. Could you help me with that please? I just want to replicate -> clearml dashboa...
Hello ExasperatedCrab78 ! I tried to add the PR. I hope it will be sufficient and clear. Have a nice day and thanks for help ! :)
Anyways no histogram / table is reported in dashboard however in tutorial video @ https://www.youtube.com/watch?v=quSGXvuK1IM it is.
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()
I just set up my server from following url : https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_linux_mac/
Thanks ! That is exactly what I meant 🙂
Have a nice day!
Insight 2 <- repository is cloned correctly but the uncomitted changes are not.
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
Hello , I passed following variables to the agent followingly: CLEARML_AGENT_SKIP_PIP_VENV_INSTALL=1 CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL=1 clearml-agent daemon --queue "default" --foreground
and it works perfectly ! Thanks for advise.